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Round The World Warming Facts
In response to the Nationwide Education Association, the New York colleges have made vital strides in educational achievement over the past few years. This system presents lecturers and college students entry to the most recent in-depth reporting on science subjects — transforming how students and educators interact with science within the classroom by providing them with actual-world examples, info, and inspiration throughout all 50 states, reaching as many as four million high school college students (approximated based on faculty enrollment information).
There isn't a correct code of conduct formulated to maximize the facility of stories and the news channels within the society. So, if we are to consider science and science alone, then there may be no Santa Claus. Science festivals are booming and with their combination of music and art they're opening the sphere to a whole new viewers who are eager to be amazed.
There are more than twenty-5 news channels on air in Pakistan at this time. Science information coupled with a number of languages and cultures are more and more vital in an expanding global economy and world welfare. In distinction, minorities of uninterested science information consumers assume each of those sources is accurate greater than …


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News 23-Mar-2017
From EdFutures
23-Mar-2017 - NP3 Case Study 4 public report published[edit]
|The public report for Case Study 4 is now available to download as a pdf. This report focusses on a range of children's use of ICT outside school, as well as use of ICT inside a Year 2 and a Year 6 class in this community school in North East of England.
Download the report or look at the other NP3 public reports.

subset: commoncrawl


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McDonald's has revealed the Happy Meal toys that will be for The LEGO Movie 2. Coming January 29, there are eight characters to collect including Wonder Woman, Ultrakatty, Lucy, Emmet, DUPLO Alien, Unikitty, Sweet Mayhem, and Batman, and each one comes puzzles and other items. Of course, we won't be seeing any actual LEGO pieces as they don't include anymore. The toys will also be able to connect with the McPlay App for more playability. Thanks to Maus Bricks for the heads up.
Home The LEGO Movie 2: The Second Part The LEGO Movie 2 McDonald's Happy Meal Toys Revealed


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Day Four of ''24''
EW's guide to the real-time show's four season
THE BIG PROBLEM Ambitious Islamic terrorist Habib Marwan (Arnold Vosloo) has a packed day ahead: He plans to execute Secretary of Defense James Heller (William Devane) live on the Internet, melt down the nation's nuclear power plants, shoot Air Force One out of the sky, and fire a nuclear missile into L.A. Jack, now working for Heller, is back at CTU for a budget meeting when he hears of the threat. Soon, he and his CTU pals are drugging and Tasering suspects galore in 24's most torture-happy season yet.
MEANWHILE… Jack has a girlfriend, Heller's daughter and aide, Audrey Raines (Kim Raver), and the relationship gets complicated when she sees Jack violently interrogate her estranged husband, Paul (James Frain). We also meet Edgar Stiles (Louis Lombardi) — loyal co-geek to cranky computer tech Chloe (Mary Lynn Rajskub) — and weak-willed Vice President Charles Logan (Gregory Itzin). Unable to handle the responsibility when the president's plane is shot down, Logan calls in David Palmer for guidance. CTU gets some important leads when a sleeper-cell family splinters because of waffling son Behrooz (Jonathan Ahdout), and an alcoholic, demoralized Tony — who's been dumped by Michelle — is drafted back into duty by Jack. The requisite ludicrous subplot: Maya (Angela Goethals), the schizophrenic daughter of CTU chief Erin Driscoll (Alberta Watson), is brought to the building's medical bay.
HOW JACK SAVES THE DAY After Jack tracks down Marwan with the aid of mercenary Mandy, Marwan commits suicide. But the digital device he leaves behind allows CTU to track and intercept the airborne missile heading for L.A. The happy ending is short-lived when the Chinese government orders Jack's arrest; earlier in the day, he had infiltrated their consulate to kidnap a Marwan contact and an ambassador was killed in the mel? Nervous that he'll give out state secrets, Logan's security chief Walt Cummings (John Allen Nelson) orders Jack's assassination. With Palmer's help, Tony, Michelle, and Chloe stage Jack's death and smuggle him out with a new identity.
COLLATERAL DAMAGE Behrooz's mother, Dina (Shohreh Aghdashloo), is shot when she crosses Marwan; Edgar's mother perishes in a nuclear meltdown; Maya slits her own wrists when the CTU doctors aren't looking. So much for national security.
MOST SHOCKING MOMENT Paul's reward for taking a bullet on Jack's behalf? Mr. Grateful pulls a gun and orders the doctor to stop operating on a dying Paul and instead save the life of a crucial informant — as Audrey watches in horror.
as Dina Araz
With her smoky voice and creepy gaze, Aghdashloo makes Dina the most unnerving kind of terrorist: Her politics are vile, yet her love for her son is utterly relatable. From killing Behrooz's girlfriend to betraying her cause to protect her son, Aghdashloo never suggests a simplistic transformation, just a maternal love that runs as deep as her fanaticism.


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April 22, 2018
ROB WILE firstname.lastname@example.com
When it comes to tech, 20 years can seem more like 200.
Back in 1998, when the Miami Herald launched its first ever Business Plan Challenge, Miami had no real startup community. Most of that year's winners — and those from many of the years that followed — were spread t...
December 27, 2017
NANCY DAHLBERG Special to the Miami Herald
Two years ago, Cambridge Innovation Center announced it would be expanding to Miami, taking most of the space in the University of Miami Life Science & Technology Park, which is now called Converge Miami. And at that time it made a bold prediction: that it would quickl...
August 13, 2017
Anywhere you turn in Miami, it seems, you can find women in leadership positions in tech, from CIC Miami, to Refresh Miami, to The LAB, to Wyncode.
Yet despite their high profiles, some of these same women say Miami's tech scene is no better than the national tech commu...
April 25, 2017
Natalia Martinez-Kalinina
Miami is a teenager with a mustache. Anyone who's been in a meeting with me knows how I feel about metaphors, and talking about our city is no exception. By this particular one, I mean that we are still an adolescent – with all of the awkward growth spurts and opportun...
April 24, 2017
Debora Lima – Reporter, South Florida Business Journal
Women make up just 25 percent of all angel investors. This group wants to change that.
For the full article, click here.
April 13, 2017
If you ask a local, South Florida's startup scene is burgeoning—some have even tossed around the moniker "Silicon Beach."
Locals and transplants alike are contributing to and supporting the growth of our emerging entrepreneurial class, which begs the question—why is Sou...
March 23, 2017
The numbers don't lie--female angel investors' contributions to the economy has exponential benefits, but they make up only a fraction of the global angel investor pool. Here's how Aminta Ventures is changing that.
It's not news that Silicon Valley's gender gap--both in...
February 21, 2017
Nancy Dahlberg / email@example.com
The numbers say it all.
Women make up only about 25 percent of angel investors in general, and women received just 29 percent of angel capital sought in 2015.
It gets worse as the checks get bigger. In the venture capital world, less than 5 percent of VCs are women. Onl...
February 16, 2017
Quick question: How many famous female venture capitalists can you name?
If the answer is none, there's a depressing reason why: Women make up as little as 4 percent of deal-making venture capitalists in Silicon Valley, according to Techcrunch, and 25 percent of angel i...
From Silicon Valley to South Florida: Why This Angel Is Excited About Investing in the Sunshine State
Why The World Needs More Female Angel Investors
Growing Pains: How Miami's Startup Community Will Scale
Where do we go from here? Miami's tech leaders say city needs next startup vision
Weighing in on Miami's entrepreneurial ecosystem
Female tech leaders: Gender equality is a long way off for Miami's tech scene
Organization launches to boost female participation in angel investing
Aminta Ventures launches to support women investors, plans workshop
Aminta Ventures wants to make the future of venture capital more female
April 2018 (1)
December 2017 (1)
August 2017 (1)
April 2017 (3)
March 2017 (1)
February 2017 (2)
aminta ventures
angel investing
female angel investors
female entrepreneurs
global economy
silicon valley
south florida


text:
- About
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- People
- Resources
April 6, 2016 at 1:00am - PhD Dissertation Defense - GARRETH RUANE - OPTIMAL PHASE MASKS FOR HIGH-CONTRAST IMAGING APPLICATIONS
April 6, 2016 at 1:00am
PhD Dissertation Defense
Phase-only optical elements can provide a number of important functions for high-contrast imaging. This thesis presents analytical and numerical optical design methods for accomplishing specific tasks, the most significant of which is the precise suppression of light from a distant point source. Instruments designed for this purpose are known as coronagraphs. Here, advanced coronagraph designs are presented that offer improved theoretical performance in comparison to the current state-of-the-art. Applications of these systems include the direct imaging and characterization of exoplanets and circumstellar disks with high sensitivity. Several new coronagraph designs are introduced and, in some cases, experimental support is provided.
In addition, two novel high-contrast imaging applications are discussed: the measurement of sub-resolution information using coronagraphic optics and the protection of sensors from laser damage. The former is based on experimental measurements of the sensitivity of a coronagraph to source displacement. The latter discussion presents the current state of ongoing theoretical work. Beyond the mentioned applications, the main outcome of this thesis is a generalized theory for the design of optical systems with one of more phase masks that provide precise control of radiation over a large dynamic range, which is relevant in various high-contrast imaging scenarios. The optimal phase masks depend on the necessary tasks, the maximum number of optics, and application specific performance measures. The challenges and future prospects of this work are discussed in detail.
March 14, 2016 at 2:30am - PhD Dissertation Defense - SHRUTI GOPAL - INTER – SUBJECT VARIABILITY ANALYSIS IN BLIND SOURCE SEPARATION APPLICATIONS
Carlson DIRS Lab 76-3215
March 14, 2016 at 2:30am
PhD Dissertation Defense
The holy grail of brain imaging is the identification of a biomarker, which can identify an abnormality that can be used both, to diagnose disease and track the effectiveness of treatment and disease progression. Typically approaches that search for biomarkers start by identifying mean differences between groups of patients and healthy controls. However, combining data from different subjects and groups to be able to make meaningful inferences is not trivial. The structure of the brain in each individual is unique in the size and shape as well as in the relative location of anatomical landmarks (e.g. sulci and gyri). When looking for mean differences in functional images, this issue is exacerbated by the presence of variability in functional localization i.e. variability in the location of functional regions in the brain. This is notably an important reason to focus on looking for inter-individual differences or variability.
Inter-subject variability in neuroimaging experiments is often viewed as noise. The analyses are setup in a manner to ignore this variability assuming that a global spatial normalization brings the data into the same space. Nonetheless, functional activation patterns can be impacted by variability in multiple ways for e.g., there could be spatial variability of the maps or variability in the spectral composition of the timecourses or variability in the connectivity between the activation patterns identified. The overarching problem this thesis seeks to contribute to, is seeking improved measures to quantify spatial, spectral and connectivity based variability and to identify associated cognitive or behavioral differences in the distribution of brain networks. We have successfully shown that different (spatial and spectral) measures of variability in blind source separated functional activation patterns underline previously unexplained characteristics that help in discerning schizophrenia patients from healthy controls. Additionally, we show that variance measures in dynamic connectivity between networks in healthy controls can justify relationship between connectivity patterns and executive functioning abilities.
November 18, 2015 at 10:00am - Ph.D. Imaging Science Thesis Defense - JAVIER A. CONCHA - The Use of Landsat 8 for Monitoring of Fresh and Coastal Waters
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
November 18, 2015 at 10:00am
The Use of Landsat 8 for Monitoring of Fresh and Coastal Waters
Ph.D. Imaging Science Thesis Defense
The most interaction between humankind and water occurs in coastal and inland waters at a scale of tens or hundred of meters, but there is not yet an ocean color product at this spatial scale. Landsat 8 could potentially addresses the remote sensing of these kinds of waters due to its improved features. This work presents an approach to obtain the color producing agents (CPAs) chlorophyll-a, colored dissolved organic material (CDOM) and minerals from water bodies using Landsat 8. Adequate atmospheric correction becomes an important first step to accurately retrieving water parameters since the sensor-reaching signal due to water is very small when compared to the signal due to the atmospheric effects. We developed the model-based empirical line method (MoB-ELM) atmospheric correction method. The Mob-ELM employs pseudo invariant feature (PIF) pixels extracted from a reflectance product along with the in-water radiative transfer model HydroLight. We used a look-up-table-based (LUT-based) inversion methodology to simultaneously retrieve CPAs. The LUT of remote-sensing reflectance spectra was created in Hydrolight using inherent optical properties (IOPs) measured in the field.
The retrieval algorithm was applied over three Landsat 8 scenes. The CPA concentration maps exhibit expected trends of low concentrations in clear waters and higher concentrations in turbid waters. We estimated a normalized root mean squared error (NRMSE) of about 10% for Chlorophyll-a and total suspended solid, and about 5% for colored dissolved organic matter (CDOM) when compared with in situ data. These results demonstrate that the developed algorithm allows the simultaneous mapping of concentration of all CPAs in Case 2 waters and over areas where the standard algorithms are not available due to spatial resolution. Therefore, this study shows that the Landsat 8 satellite can be utilized over Case 2 waters as long as a careful atmospheric correction is applied and IOPs are known.
November 12, 2015 at 2:00am - PHD Dissertation Defense - BIKASH BASNET - Monitoring Cloud Prone Complex Landscape At multiple Spatial Scale Using Medium and High Resolution Optical Data: A Case Study in Central Africa
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
November 12, 2015 at 2:00am
Monitoring Cloud Prone Complex Landscape At multiple Spatial Scale Using Medium and High Resolution Optical Data: A Case Study in Central Africa
PHD Dissertation Defense
Tracking land surface dynamics over cloud prone areas with complex mountainous terrain and a landscape that is heterogeneous at a scale of approximately 10m is an important challenge in the remote sensing of tropical regions in developing nations. Persistent monitoring of natural resources in these regions at multiple spatial scales requires development of tools to identify emerging land cover degradation due to anthropogenic causes such as agricultural expansion and climate change. Along with the cloud cover and obstructions by topographic distortions due to steep terrain, there are limitations to the accuracy of monitoring change using available historical satellite imagery, largely due to sparse data access and lack of high quality ground truth for classifier training.
This work addressed these problems to create an effective process for monitoring the Lake Kivu region located in Central Africa. The Lake Kivu region is a biodiversity hotspot with a complex, heterogeneous landscape and intensive agricultural development where individual plot sizes are often on the scale of 10 m. Procedures were developed that use optical data from satellite and aerial observations at multiple scales to tackle the monitoring challenges. First, a novel processing chain was developed to systematically monitor the spatio-temporal land use/land cover dynamics of this region over the years 1988, 2001, and 2011 using Landsat data, complemented by ancillary data. Topographic compensation was performed on Landsat reflectances to avoid the strong illumination angle impacts and image compositing was used to compensate for frequent cloud cover and thus incomplete annual data availability in the archive. A systematic supervised classification using state of the art machine learning classifier Random Forest was applied to the composite Landsat imagery to obtain land cover thematic maps with overall accuracies of 90% and higher. Subsequent change analysis between these years found extensive conversions of the natural environment as a result of human related activities. The gross forest cover loss for 1988-2001 and 2001- 2011 period was 216.4 and 130.5 thousand hectares, respectively, signifying significant deforestation in the period of civil war and a relatively stable and lower deforestation rate later, possibly due to conservation and reforestation efforts in the region. The other dominant land cover changes in the region were aggressive subsistence farming and urban expansion displacing natural vegetation and arable lands. Despite limited data availability, this study fills the gap of much needed detailed and updated land cover change information for this biologically important region of Central Africa.
While useful on a regional scale, Landsat data can be inadequate for more detailed studies of land cover change. Based on an increasing availability of high resolution imagery and LIDAR data from manned and unmanned aerial platforms (<1m resolution), a study was performed leading to a generic framework for land cover monitoring at fine spatial scales. The approach fuses high resolution aerial imagery and LIDAR data to produce land cover maps with high spatial detail using object-based image analysis techniques. The classification framework was tested for a scene with both natural and cultural features and found to be more than 90 percent accurate, sufficient for detailed land cover change study.
August 6, 2015 at 10:00am - M.S. Thesis Defense - Sean Archer - Empirical Measurement and Model Validation of Infrared Spectra of Liquid- Contaminated Surfaces
Carlson Bldg. (76) – Room 3215 (DIRS Lab)
August 6, 2015 at 10:00am
Empirical Measurement and Model Validation of Infrared Spectra of Liquid- Contaminated Surfaces
Sean Archer
M.S. Thesis Defense
Liquid contaminated surfaces generally require more sophisticated radiometric modeling to numerically describe surface properties. The goal of this thesis was to validate predicted infrared spectra of liquid contaminated surfaces from a recently developed micro-scale bi-directional reflectance distribution function (BRDF) model, known as microDIRSIG. This micro-scale model had been developed coincide with the Digitial Image and Remote Sensing Image Generation (DIRSIG) model as a rigorous ray tracing physics-based model capable of predicting the BRDF of geometric surfaces that are defined at micron to millimeter spatial resolution. The model offers an extension from conventional BRDF models by allowing contaminants to be added as geometric objects to a micro-facet surface.
This model was validated through the use of empirical measurements. A total of 18 different substrate and contaminant combinations were measured and compared against modeled outputs. These substrates included wood and aluminum samples with three different paint finishes and varying levels of silicon based oil (SF96) liquid contamination. The longwave infrared radiance for each substrate was measured with a Design & Prototypes (D&P) Fourier transform infrared spectrometer and a Physical Sciences Inc. Adaptive Infrared Imaging Spectroradiometer (AIRIS).
The microDIRSIG outputs were compared against measurements qualitatively in both the emissivity and radiance domains. A temperature emissivity separation (TES) algorithm was applied to the measured radiance spectra for comparison with the microDIRSIG predicted emissivity spectra. The model predicted emissivity spectra was also forward modeled through a DIRSIG simulation for comparisons to the measured radiance spectra. The results showed a promising agreement for homogenous surfaces with a liquid contamination that could be well characterized geometrically. Limitations arose in substrates that were modeled as homogeneous surfaces, but had spatially varying artifacts due to uncertainties with the contaminant and surface interaction. There is high desire for accurate physics based modeling of liquid contaminated surfaces and this validation framework may be extended to include a wider array of samples for more realistic natural surfaces that are often found in the real world.
August 6, 2015 at 2:00am - MS Thesis Defense - MATTHEW EDWARD MURPHY - Statistical Study of Interplanetary Coronal Mass Ejections with Strong Magnetic Fields
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
August 6, 2015 at 2:00am
Statistical Study of Interplanetary Coronal Mass Ejections with Strong Magnetic Fields
MS Thesis Defense
Abstract Coronal Mass Ejections (CMEs) with strong magnetic fields are typically associated with significant solar energetic particle (SEP) events, high solar wind speed and solar flare events. Successful prediction of the arrival time of a CME at Earth is required to maximize the time available for satellite, infrastructure, and space travel programs to take protective action against the coming flux of high-energy particles. It is known that the magnetic field strength of a CME is linked to the strength of a geomagnetic storm on Earth. Unfortunately, the correlations between strong magnetic field CMEs from the entire sun (especially from the far side or non-Earth facing side of the sun) to SEP and flare events, solar source regions and other relevant solar variables are not well known. New correlation studies using an artificial intelligence engine (Eureqa) were performed to study CME events with magnetic field strength readings over 30 nanoteslas (nT) from January 2010 to October 17, 2014. This thesis presents the results of this study, validates Eureqa to obtain previously published results, and points the way towards future studies that might extend the lead time before such events strike valuable targets.
July 28, 2015 at 2:00am - Ph.D. Imaging Science Thesis Defense - THOMAS B KINSMAN - Semi-Supervised Pattern Recognition and Machine Learning for Eye-Tracking
Carlson Fishbowl 76-1275
July 28, 2015 at 2:00am
Semi-Supervised Pattern Recognition and Machine Learning for Eye-Tracking
Ph.D. Imaging Science Thesis Defense
The first step in monitoring an observer's eye gaze is identifying and locating the image of their pupils in video recordings of their eyes. Current systems work under a range of conditions, but fail in bright sunlight and rapidly varying illumination. A computer vision system was developed to assist with the recognition of the pupil in every frame of a video, in spite of the presence of strong first-surface reflections off of the cornea.
A modified Hough Circle detector was developed that incorporates knowledge that the pupil is darker than the surrounding iris of the eye, and is able to detect imperfect circles, partial circles, and ellipses. As part of the processing, the image is modified to compensate for the distortion of the pupil caused by the out-of-plane rotation of the eye. A sophisticated noise cleaning technique was developed to mitigate first surface reflections, enhance edge contrast, and reduce image flare. Semi-supervised human input and validation is used to train the algorithm.
The final results are comparable to those achieved using a human analyst, but require only a tenth of the human interaction.
July 27, 2015 at 9:00am - Ph.D. Dissertation Defense - Paul Romanczyk - Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals
Carlson Bldg. (76) - Room 2215
July 27, 2015 at 9:00am
Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals
Paul Romanczyk
Ph.D. Dissertation Defense
The National Ecological Observatory Network (NEON) is a continental scale environmental monitoring initiative tasked with characterizing and understanding ecological phenomenology over a 30-year time frame. To support this mission, NEON collects ground truth measurements, such as organism counts and characterization, carbon flux measurements, etc. To spatially upscale these plot-based measurements, NEON developed an airborne observation platform (AOP), with a high-resolution visible camera, next-generation AVIRIS imaging spectrometer, and a discrete and waveform digitizing light detection and ranging (lidar) system. While visible imaging, imaging spectroscopy, and discrete lidar are relatively mature technologies, our understanding of and associated algorithm development for small-footprint full-waveform lidar are still in early stages of development. This work has as its primary aim to extend small-footprint full-waveform lidar capabilities to assess vegetation biophysical structure.
In order to fully exploit waveform lidar capabilities, high fidelity geometric and radio-metric truth data are needed. Forests are structurally and spectrally complex, which makes collecting the necessary truth challenging, if not impossible. We utilize the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model, which provides an environment for radiometric simulations, in order to simulate waveform lidar signals. The first step of this research was to build a virtual forest stand based on Harvard Forest inventory data. This scene was used to assess the level of geometric fidelity necessary for small-footprint waveform lidar simulation in broadleaf forests. It was found that leaves have the largest influence on the backscattered signal and that there is little contribution to the signal from the leaf stems and twigs. From this knowledge, a number of additional realistic and abstract virtual "forest" scenes were created to aid studies assessing the ability of waveform lidar systems to extract biophysical phenomenology. We developed an additive model, based on these scenes, for correcting the attenuation in backscattered signal caused by the canopy. The attenuation-corrected waveform, when coupled with estimates of the leaf-level reflectance, provides a measure of the complex within-canopy forest structure. This work has implications for our improved understanding of complex waveform lidar signals in forest environments and, very importantly, takes the research community a significant step closer to assessing fine-scale horizontally- and vertically-explicit leaf area, a holy grail of forest ecology.
July 23, 2015 at 9:00am - Ph.D. Dissertation Defense - Rey Jan D. Garma - Image Quality Modeling and Characterization of Nyquist Sampled Framing Systems with Operational Considerations for Remote Sensing
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
July 23, 2015 at 9:00am
Image Quality Modeling and Characterization of Nyquist Sampled Framing Systems with Operational Considerations for Remote Sensing
Rey Jan D. Garma
Ph.D. Dissertation Defense
The trade between detector and optics performance is often conveyed through the Q metric, which is defined as the ratio between detector sampling frequency and optical cutoff frequency. Historically sensors have operated at Q≈1, which introduces aliasing but increases the system modulation transfer function (MTF) and signal-to-noise ratio (SNR). Though mathematically suboptimal, such designs have been operationally ideal when considering system parameters such as pointing stability and detector performance. Substantial advances in read noise and quantum efficiency of modern detectors may compensate for the negative aspects associated with balancing detector/optics performance, presenting an opportunity to revisit the potential for implementing Nyquist-sampled (Q≈2) sensors. A digital image chain simulation is developed and validated against a laboratory testbed using objective and subjective assessments. Objective assessments are accomplished by comparing the modeled MTF to measurements from slant-edge photographs. Subjective assessments are carried out by performing a psychophysical study where subjects are asked to rate simulation and testbed imagery against a ΔNIIRS scale with the aid of a marker-set. Using the validated model, additional test cases are simulated to study the effects of increased detector sampling on image quality with operational considerations. First, a factorial experiment using Q-sampling, pointing stability, integration time, and detector performance is conducted to measure the main effects and interactions of each on the response variable, ΔNIIRS. To assess the fidelity of current models, variants of the General Image Quality Equation (GIQE) are evaluated against subject-provided ratings and two modified GIQE versions are proposed. Finally, using the validated simulation and modified IQE, trades are conducted to ascertain the feasibility of implementing Q≈2 designs in future systems.
July 22, 2015 at 10:00am - Ph.D. Dissertation Defense - Tyler D. Carson - Signature Simulation and Characterization of Mixed Solids in the Visible and Thermal Regimes
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
July 22, 2015 at 10:00am
Signature Simulation and Characterization of Mixed Solids in the Visible and Thermal Regimes
Tyler D. Carson
Ph.D. Dissertation Defense
Solid target signatures vary due to geometry, chemical composition and scene radiome- try. Although radiative transfer models and function-fit physical models may describe certain targets in limited depth, the ability to incorporate all three of these signature variables is dicult. This work describes a method to simulate the transient signatures of mixed solids and soils by first considering scene geometry that was synthetically created using 3-d physics engines. Through the assignment of spectral data from the Nonconven- tional Exploitation Factors Data System (NEFDS) and other libraries, synthetic scenes are represented as a chemical mixture of particles. Finally, first principles radiometry is modeled using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. With DIRSIG, radiometric and sensing conditions were systematically manipu- lated to produce goniometric signatures. The implementation of this virtual goniometer allows users to examine how a target bidirectional reflectance function (BRDF) and di- rectional emissivity will change with geometry, composition and illumination direction. The tool described provides geometry flexibility that is unmatched by radiative transfer models. It delivers a discrete method to avoid the significant cost of time and treasure associated with hardware based goniometric data collections.
July 14, 2015 at 2:00am - Ph.D. Dissertation Defense - Oesa A. Weaver - An Analytical Framework for Assessing the Efficacy of Small Satellites in Performing Novel Imaging Missions
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
July 14, 2015 at 2:00am
An Analytical Framework for Assessing the Efficacy of Small Satellites in Performing Novel Imaging Missions
Oesa A. Weaver
Ph.D. Dissertation Defense
In the last two decades, small satellites have opened up the use of space to groups other than governments and large corporations, allowing for increased participation and experimentation. This democratization of space was enabled by improved technology, which allowed the miniaturization of components and reduction of overall cost, meaning many of the capabilities of larger satellites could be replicated at a fraction of the cost. The potential of these smaller satellites to replace or augment existing systems has led to an explosion of potential satellite and mission concepts, often with little rigorous study of whether the proposed satellite or mission is achievable or necessary. This work proposes an analytical framework to aid system designers in evaluating the ability of an existing concept or small satellite to perform a particular imaging mission, either replacing or augmenting existing capabilities. This framework was developed and then refined by application to the problem of using small satellites to perform a wide area search mission – a mission not possible with existing imaging satellites, but one that would add to current capabilities. Requirements for a wide area search mission were developed, along with a list of factors that would affect image quality and mission performance. Two existing small satellite concepts were evaluated for use by examining image quality from the systems, selecting an algorithm to perform the search function, and then assessing mission feasibility by applying the algorithm to simulated imagery. Finally, a notional constellation design was developed to assess the number of satellites required to perform the mission. It was found that a constellation of 480 CubeSats producing 4 m spatial resolution panchromatic imagery and employing an on-board processing algorithm would be sufficient to perform a wide area search mission.
June 26, 2015 at 10:00am - Ph.D. Dissertation Defense - David Kelbe - Forest structure from terrestrial laser scanning – in support of remote sensing
Carlson Bldg. 76 - Room 3215 (DIRS Lab)
June 26, 2015 at 10:00am
Forest structure from terrestrial laser scanning – in support of remote sensing
David Kelbe
Ph.D. Dissertation Defense
Advisor: Dr. Jan van Aardt
Forests are an important part of the natural ecosystem, providing resources
such as timber and fuel, performing services such as energy exchange and carbon
storage, and presenting risks, such as fire damage and invasive species impacts.
Improved characterization of forest structural attributes is desirable, as it could improve
our understanding and management of these natural resources.
Traditionally, the systematic collection of forest information related to stem
volume and biomass – dubbed ``forest inventory'' - is achieved via relatively crude,
readily-measured explanatory variables, such as tree height and stem diameter. Such
field inventories are time-consuming, expensive, and coarse when compared to novel
3D measurement technologies. Remote sensing estimates, on the other hand, provide
synoptic coverage, but often fail to capture the fine-scale structural variation of the
forest environment. Terrestrial laser scanning (TLS) has demonstrated a potential to
address these limitations, while offering opportunity to support remote sensing efforts by
providing spatially explicit ground-truth data for calibration/validation in forest
environments. An additional benefit is the potential to extract realistic 3D forest models,
for use in simulation and visualization studies. However, despite this potential,
operational use has remained limited due to unsatisfactory performance characteristics
vs. budgetary constraints of many end-users.
To address this gap, my dissertation advanced affordable mobile laser scanning
capabilities for operational forest structure assessment. We developed geometric
reconstruction of forest structure from rapid-scan, low-resolution point cloud data,
providing for automatic extraction of standard forest inventory metrics. To augment
these results over larger areas, we designed a view-invariant feature descriptor to
enable marker-free registration of TLS data pairs, without knowledge of the initial sensor
pose. A graph-theory framework was then integrated to perform multi-view registration
between a network of disconnected scans. This provided improved structural
assessment at the plot-level. Finally, a data mining approach was taken to assess plotlevel
canopy structure, which has important implications to our understanding forest
Outputs are being utilized to provide antecedent science data for NASA's
HyspIRI mission and to support the National Ecological Observatory Network's (NEON)
long-term environmental monitoring initiatives.
May 21, 2015 at 8:00am - Ph.D. Dissertation Defense - Katie N. Salvaggio - A Voxel-Based Approach for Imaging Voids in Three-Dimensional Point Clouds
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
May 21, 2015 at 8:00am
A Voxel-Based Approach for Imaging Voids in Three-Dimensional Point Clouds
Katie N. Salvaggio
Ph.D. Dissertation Defense
Geographically accurate scene models have enormous potential beyond that of just simple visualizations in regard to automated scene generation. In recent years, thanks to ever increasing computational efficiencies, there has been significant growth in both the computer vision and photogrammetry communities pertaining to automatic scene reconstruction from multi-view imagery. The result of these algorithms is a three-dimensional (3D) point cloud which can be used to obtain a final model using surface reconstruction techniques. However, the fidelity of these point clouds has not been well studied, and voids often exist within the point cloud. Voids exist in texturally flat areas that fail to generate features, as well as areas where multiple views were not obtained during collection, constant occlusion existed due to collection angles or overlapping scene geometry, or in regions that failed to triangulate accurately. It may be possible to fill in small voids in the scene using surface reconstruction or hole-filling techniques, but this is not the case with larger voids, and attempting to reconstruct them using only the knowledge of the incomplete point cloud is neither accurate nor aesthetically pleasing.
A method is presented for identifying voids in point clouds using a voxel-based approach to partition the 3D space. By using collection geometry and information derived from the point cloud, it is possible to detect unsampled voxels such that voids can be identified. This analysis takes into account the location of the camera and the 3D points themselves to capitalize on the idea of free space, such that voxels that lie on the ray between the camera and point are devoid of obstruction, as a clear line of sight is a necessary requirement for reconstruction. Using this approach, voxels are classified into three categories: occupied (contains points from the point cloud), free (rays from the camera to the point passed through the voxel), and unsampled (does not contain points and no rays passed through the area). Voids in the voxel space are manifested as unsampled voxels. A similar line-of-sight analysis can then be used to pinpoint locations at aircraft altitude at which the voids in the point clouds could theoretically be imaged. This work is based on the assumption that inclusion of more images of the void areas in the 3D reconstruction process will reduce the number of voids in the point cloud that were a result of lack of coverage. Voids resulting from texturally flat areas will not benefit from more imagery in the reconstruction process, and thus are identified and removed prior to the determination of future potential imaging locations.
April 30, 2015 at 9:00am - Imaging Science MS Thesis Defense - DENGYU LIU - Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging
Carlson Fishbowl 76-1275
April 30, 2015 at 9:00am
Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging
Imaging Science MS Thesis Defense
Cameras face a fundamental tradeoff between spatial and temporal resolution. Digital still cameras can capture images with high spatial resolution, but most high-speed video cameras have relatively low spatial resolution. It is hard to overcome this tradeoff without incurring a significant increase in hardware costs. In this paper, we propose techniques for sampling, representing and reconstructing the space-time volume in order to overcome this tradeoff. Our approach has two important distinctions compared to previous works: (1) we achieve sparse representation of videos by learning an over-complete dictionary on video patches, and (2) we adhere to practical hardware constraints on sampling schemes imposed by architectures of current image sensors, which means that our sampling function can be implemented on CMOS image sensors with modified control units in the future. We evaluate components of our approach - sampling function and sparse representation by comparing them to several existing approaches. We also implement a prototype imaging system with pixel-wise coded exposure control using a Liquid Crystal on Silicon (LCoS) device. System characteristics such as field of view, Modulation Transfer Function (MTF) are evaluated for our imaging system. Both simulations and experiments on a wide range of scenes show that our method can effectively reconstruct a video from a single coded image while maintaining high spatial
April 27, 2015 at 8:00am - Ph.D. Dissertation Defense - Madhurima Bandyopadhyay - Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level assessment
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
April 27, 2015 at 8:00am
Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level assessment
Madhurima Bandyopadhyay
Ph.D. Dissertation Defense
The urban forest is becoming increasingly important in the contexts of urban green space, carbon sequestration and offsets, and socio-economic impacts. In addition to aesthetic value, these green spaces remove airborne pollutants, preserve natural resources, mitigate adverse climate changes, among other benefits. A great deal of attention recently has been paid to urban forest management. However, the comprehensive monitoring of urban vegetation for carbon sequestration and storage is an under-explored research area. Often such assessment requires information at the individual tree level, necessitating the proper masking of vegetation from the built environment, as well as delineation of individual tree crowns. As an alternative to expensive and time-consuming manual surveys, remote sensing can be used effectively in characterizing the urban vegetation and man-made objects.
Many studies in this field has made use of aerial and multispectral/hyperspectral imagery over cities. The emergence of light detection and ranging (LiDAR) technology has provided new impetus to the effort of extracting objects and characterizing their 3D attributes - LiDAR has been used successfully to model buildings and urban trees. However, challenges remain when using such structural information only, and researchers have investigated the use of fusion-based approaches that combine LiDAR and aerial imagery to extract objects, so that the complementary characteristics of the two modalities can be utilized.
In this study, a fusion-based classification method was implemented between aerial color (RGB) imagery and co-registered LiDAR point clouds to classify urban vegetation and buildings from other urban classes/cover types. Structural, as well as spectral features, were used in the classification method, including height, flatness, and the distribution of normal vectors from LiDAR data, along with a non-calibrated LiDAR-based vegetation index derived from combining LiDAR intensity at 1064 nm with the red channel from the RGB imagery. This novel index was dubbed the LiDAR-infused difference vegetation index (LDVI). Classification results indicated good separation between buildings and vegetation, with an overall kappa coefficient of 85%.
A multi-tiered delineation algorithm was designed to extract individual tree crowns from the tree clusters and species-independent biomass models were developed using LiDAR-derived tree attributes in regression analysis. These LIDAR-based biomass assessments were conducted for individual trees, as well as for clusters of trees, in cases where proper delineation of individual trees was impossible. The LIDAR-derived biomass estimates were validated against allometry-based biomass estimates that were computed from field-measured tree data. The best biomass model for the tree clusters and the individual trees showed an adjusted R2 value of 0.93 and 0.58, respectively.
The results of this study showed that the fusion-based classification approach using LiDAR and aerial color (RGB) imagery is capable of producing good object detection accuracy. It was concluded that the LDVI can be used in vegetation detection and can act as a substitute for the normalized difference vegetation index (NDVI), where multiband imagery is not available. Furthermore, the utility of LiDAR for characterizing the urban forest and associated biomass was proven. This work could have significant impact on the rapid and accurate assessment of urban green spaces and associated monitoring and management.
April 1, 2015 at 12:00pm - Ph.D. Dissertation Defense - Amanda K. Ziemann - A manifold learning approach to target detection in high-resolution hyperspectral imagery
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
April 1, 2015 at 12:00pm
A manifold learning approach to target detection in high-resolution hyperspectral imagery
Amanda K. Ziemann
Ph.D. Dissertation Defense
Imagery collected from airborne platforms and satellites provide an important medium for remotely analyzing the content in a scene. In particular, the ability to detect a specific material within a scene is of high importance to both civilian and defense applications. This may include identifying "targets" such as vehicles, buildings, or boats. Sensors that process hyperspectral images provide the high-dimensional spectral information necessary to perform such analyses. However, research has shown that for a d-dimensional hyperspectral image, it is typical for the data to inherently occupy an m-dimensional space, with m << d. In the remote sensing community, this has led to a recent increase in the use of non-linear manifold learning, which aims to characterize the embedded lower-dimensional, non-linear manifold upon which the hyperspectral data inherently lie. Classic hyperspectral data models include statistical, linear subspace, and linear mixture models, but these can place restrictive assumptions on the distribution of the data when implementing traditional target detection approaches, and their limitations are well-documented. Here, we present an approach to target detection in HSI that is instead based on a graph theory model of the data and a manifold learning transformation, thereby avoiding these restrictive assumptions. An adaptive graph is built on the data, and then used to implement an adaptive version of locally linear embedding (LLE). We artificially induce a target manifold and incorporate it into the adaptive LLE transformation; the artificial target manifold helps to guide the separation of the target data from the background data in the new, transformed manifold coordinates. Then, target detection is performed in the manifold space. Target detection results will be shown using laboratory-measured, field-measured, and in-scene target spectra across multiple hyperspectral data sets.
January 22, 2015 at 2:00am - M.S. Thesis Defense - XINGCHAO YU - Studies of Gas Absorption In Infrared Spectra of Carbon-Rich AGB Stars
January 22, 2015 at 2:00am
Studies of Gas Absorption In Infrared Spectra of Carbon-Rich AGB Stars
M.S. Thesis Defense
M.S. Thesis Defense
Xingchao YU
Studies of Gas Absorption In Infrared Spectra of Carbon-Rich AGB Stars
Advisor: Dr. Joel Kastner & Dr. Ben Sargent
22nd, January, 2:00pm
Carlson Auditorium 76-1275
An asymptotic giant branch (AGB) star is a dying, Sun-like star, and it is actively expelling its mass into an envelope around the star, forming a circumstellar shell. Infrared spectra can reveal the composition of the material within this shell, informing studies of the recycling of the products of stellar nuclear processing in the Universe. In this study, we want to identify how the differing metallicities of our own, relatively metal-rich Milky Way galaxy and the nearby, lower metallicity Large Magellanic Cloud (LMC) galaxy affect gas composition in the circumstellar shells of carbon-rich AGB stars.
Radiative transfer models are created to simulate spectra of 4 carbon-rich AGB stars chosen from the Milky Way and 4 chosen from the LMC. Different gas species, whose model spectra are computed using line lists obtained from the HITRAN database, are added to the models, including C2H2, HCN and CS. By comparing to spectra obtained using the Infrared Spectrograph (IRS) on board the Spitzer Space Telescope (for the LMC) and to spectra obtained using the Short Wavelength Spectrometer (SWS) on board the Infrared Space Observatory (ISO; for the Milky Way), we determine basic physical characteristics, such as gas temperature and shell radius, for each star, as well as the relative amounts of gas species for each star, by matching models to the observed spectra.
Results confirm that infrared spectra of Milky Way AGB stars typically suggest more than one of the molecules C2H2, HCN, and CS in their shells, whereas infrared spectra of LMC stars only suggest the presence of C2H2. This suggests a correspondence between metallicity and the abundances of specific gas species in circumstellar shells. Future work includes developing a more accurate radiative transfer model, using and possibly developing more accurate line lists, and modeling more stars, to confirm and improve upon the present results.
December 16, 2014 at 10:00am - MS Thesis Defense - CHAO ZHANG - Optical simulation of terahertz antenna using finite difference time domain method
Carlson 76-1275
December 16, 2014 at 10:00am
Optical simulation of terahertz antenna using finite difference time domain method
MS Thesis Defense
Chester F Carlson Center for Imaging Science
Advisors: Dr. Zoran Ninkov
Terahertz science is a promising and rapidly developing research area. However, solid-state terahertz detectors of high performance are still needed. An antenna within each pixel is needed in these detectors so as to couple more incident radiation into the detector. In this thesis, a software package called Lumerical FDTD Solutions is used to optimize the terahertz antenna design. The ultimate goal is to design broadband antennas that work efficiently over desired frequency bands. The transmission/absorption characteristics of various bowtie antennas were modeled using the software. For absorption modeling, an equivalent resistor was added to load the antenna and absorb the terahertz energy. The effect of various parameters, including geometrical shape, boundary condition, material index, were considered. Fat bowtie was chosen as the optimum design for a 215GHz antenna. Optimization was carried out to check how the gap, slot, distance between metal contacts would affect the performance of the antenna. A transmission experiment was designed to verify the validity of these simulations using a 188GHz source. Finally, some tests for the angular response of silicon/air interface and dipole antenna were done, in order to ascertain the efficiency of coupling between the optical telescope used to collect the THz radiation and the antenna/detector combination.
December 5, 2014 at 9:00am - Ph.D. Thesis Defense - Bin Chen - Multispectral Image Road Extraction Based Upon Automated Map Conflation
December 5, 2014 at 9:00am
Multispectral Image Road Extraction Based Upon Automated Map Conflation
Bin Chen
Ph.D. Thesis Defense
Road network extraction from remotely sensed imagery enables many important and diverse applications such as vehicle tracking, drone navigation, and intelligent transportation studies. There are, however, a number of challenges to road detection from an image. Road pavement material, width, direction, and topology vary across a scene. Complete or partial occlusions caused by nearby buildings, trees, and the shadows cast by them, make maintaining road connectivity difficult. The problems posed by occlusions are exacerbated with the increasing use of oblique imagery from aerial and satellite platforms. Further, common objects such as rooftops and parking lots are made of materials similar or identical to road pavements. This problem of common materials is a classic case of a single land cover material existing for different land use scenarios.
This work addresses these problems in road extraction from geo-referenced imagery by leveraging the OpenStreetMap digital road map to guide image-based road extraction. The crowd-sourced cartography has the advantages of worldwide coverage that is constantly updated. The derived road vectors follow only roads and so can serve to guide image-based road extraction with minimal confusion from occlusions and changes in road material. On the other hand, the vector road map has no information on road widths and misalignments between the vector map and the geo-referenced image are small but nonsystematic. Properly correcting misalignment between two geospatial datasets, also known as map conflation, is an essential step.
A generic framework requiring minimal human intervention is described for multispectral image road extraction and automatic road map conflation. The approach relies on the road feature generation of a binary mask and a corresponding curvilinear image. A method for generating the binary road mask from the image by applying a spectral measure is presented. The spectral measure, called anisotropy-tunable distance (ATD), differs from conventional measures and is created to account for both changes of spectral direction and spectral magnitude in a unified fashion. The ATD measure is particularly suitable for differentiating urban targets such as roads and building rooftops. The curvilinear image provides estimates of the width and orientation of potential road segments. Road vectors derived from OpenStreetMap are then conflated to image road features by applying junction matching and intermediate point matching, followed by refinement with mean-shift clustering and morphological processing to produce a road mask with piecewise width estimates.
The proposed approach is tested on a set of challenging, large, and diverse image data sets and the performance accuracy is assessed. The method is effective for road detection and width estimation of roads, even in challenging scenarios when complete occlusion occurs.
November 24, 2014 at 2:00am - Ph.D. Dissertation Defense - Jiangqin Sun - Temporal signature modeling and analysis
Carlson Bldg. (76) - Room 3215 (DIRS Lab)
November 24, 2014 at 2:00am
Temporal signature modeling and analysis
Jiangqin Sun
Ph.D. Dissertation Defense
A vast amount of digital satellite and aerial images are collected over time, which calls for techniques to extract useful high-level information, such as recognizable events. One part of this thesis proposes a framework for streaming analysis of time series data, which can recognize events without supervision and memorize them by building the temporal contexts. The memorized historical data is then used to predict the future and detect anomalies. A new incremental clustering method is proposed to recognize the event without training. A memorization method of double localization, including relative and absolute localization, is proposed to model the temporal context. Finally, the predictive model is built based on the method of memorization. The "Edinburgh Pedestrian Dataset", which offers about 1000 observed trajectories of pedestrians detected in camera images each working day for several months, is used as an example to illustrate the framework.
Although there is a large amount of image data captured, most of them are not available to the public. The other part of this thesis developed a method of generating spatial-spectral-temporal synthetic images by enhancing the capacity of a current tool called DIRISG (Digital Image and Remote Sensing Image Generation). Currently, DIRSIG can only model limited temporal signatures. In order to observe general temporal changes in a process within the scene, a process model, which links the observable signatures of interest temporally, should be developed and incorporated into DIRSIG. The sub process models could be categorized into two types. One is that the process model drives the property of each facet of the object changing over time, and the other one is to drive the geometry location of the object on the scene changing as a function of time. Two example process models are used to show how process models can be incorporated into DIRSIG.


text:
Sum up of Week 2
You have reached the end this second week, well done!
This week, we analysed how Europe has progressively distanced itself from a linear and univocal approach to history. Dominique Poulot explained how the profession of history was institutionalized in the 18th and 19th centuries, how museums helped to channel the European modernity discourse.
In the second half of the 20th century, there were numerous calls for the inclusion of the diverse memories of European citizens. This has influenced the way we remember and talk about the past in Europe. Today, although many stories remain to be told there is a more widespread awareness of the power dynamics behind the construction of heritage. We stressed the importance for oppressed groups to mobilize for their memory to be recognized.
Experts introduced notions to question the traditional national understanding of heritage. Jasper Chalcraft discussed the concept of contested heritage, emphasizing the conflicting understandings of the meaning of heritage in Europe. Gerard Delanty explained the idea of transnational heritage as intermingled memories. Monica Sassatelli developed the idea of cosmopolitanism, as openness to foreign cultures and described how it is implemented in the Venice Biennial.
Finally, we discussed recent developments of the European strategy to project itself in the world and the use of culture in the EU's external action with the example of the actions developed by the European national institutes for culture (EUNIC). This illustrated how the national understanding of heritage can be challenged through an outward-looking and fostering intercultural dialogue.
Next week, we will move from the past to the present, to investigate the other domain that is essential to European cultural policies: cultural and creative industries.
© European University Institute


text:
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Developing a Farm Digital Strategy 2 – Precision Technology and Data Generation
location, application rate, elevation, ground speed, product, and more. PA data can be placed in one of ... process. These types of sensors allow companies to advise farmers on inputs, application rates and ... implement status, 3-point hitch status, and hydraulic pressure and flow rate. Machine data can be an ...
Just Released: Ohio Farm Custom Rates 2020
A "custom rate" is the amount agreed upon by both parties to be paid by the custom work customer to the ... custom work provider. Ohio Farm Custom Rates This publication reports custom rates based on a statewide ... survey of 377 farmers, custom operators, farm managers, and landowners conducted in 2020. These rates ...
Aging: A Natural and Beneficial Part of Life
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Cropland values and cash rents for Western Ohio: survey results are in
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Management Considerations for the Cribbing Horse
a way horses cope with stress. Cribbing horses experience a slowing heart rate during cribbing (Lebelt, ... being prevented from cribbing for some time, may increase their cribbing rate (McGreevy & Nicol, ... 1998b) as if to make up for lost time. Not all cribbers increase their cribbing rate after being ...
Heavy Construction Management
production rates. Prereq or concur: 3451. Undergraduate 3.0 Autumn 2020 In Person Columbus Construction ...
Double-Cropping Soybean Following Small Grains
photosynthesis Seeding Rate. Harvest population for mid- to late-June plantings should be between 130,000 to ... per acre. Harvest plant population is a function of seeding rate, quality of the planter operation, ... contact, and disease pressure. Figure 1 shows the partial economic return by seeding rate (grain price of ...
Green Building and Sustainable Construction
CONSYSM 5670 Introduction to LEED rating systems, major components of sustainable building design ...
Useful Tables: Adjustments and Conversions on Corn and Soybean Parameters
Planting Dates and Harvest Population Rates* Planting Date Plants per Acre at Harvest 10,000 15,000 20,000 ...
Post Corn, Going to Soybean: Use Cereal Rye
expensive. Start with VNS (variety not stated) seed with a good germination rate purchased from a reputable ... tag. Seeding rate calculations are based on one of two factors: pure live seed (PLS) or seed count. The ... county. Seeding rate—Drilled seeding rate: 40–60 pounds/acre PLS. Broadcast with shallow incorporation: ...


text: Yesterday, the European Commission approved state guarantees for Irish credit institutions covering short-term liabilities, including commercial paper, certificates of deposit, interbank deposits and corporate deposits. The guarantee will expire on December 31, 2010. The Commission believes such guarantees are required in order to "ensure continued access to funding for Irish banks" and in turn contribute to financial stability. In exchange for such guarantees, recipient banks will be required to pay higher fees, as well as abide by certain reporting requirements. A similar guarantee scheme will terminate at the end of September 2010.


text:
August 2, 2018
Written by:
Christine Wells
Following the immense success of Rachael Treasure's Jillaroo in 2005, rural romance emerged as a beloved genre of Australian readers. These books celebrate rural life, farming, and close knit communities as well as the natural beauty of the Australian landscape. They are rich in atmosphere and feature strong, independent female heroines making their own way in the bush.
Not sure what to recommend? Here are a few rural romances that your patrons may enjoy:
Fortunately, finding other rural romance titles in NoveList is easy using our subject headings, themes, and genres.
If you'd just like to peruse romances by Australian authors, try this search:
GX Australian fiction AND GX Contemporary romances
To get to our rural romances, you can start adding in themes and subject headings, for example:
GX Australian fiction AND GX Contemporary romances AND TH Love in a small town
GX Australian fiction AND GX Contemporary romances AND SU Rural life
Other subject headings you may want to consider include Farm life, Small town life, Wilderness areas, Ranches, and Farms.
If your patrons are looking for something with a little more mystery, like a Fleur McDonald novel, try opening your search and changing around your themes and headings:
GX Australian fiction AND TH Rural police
GX Australian fiction AND (SU *Detectives AND SU Small town* OR SU Rural* OR SU Farm* OR SU Ranch* OR SU Wilderness*)
NoveList has many ways to find books that meet your unique set of criteria. In the search above, we used field codes for genre exact (GX), theme (TH), and subject (SU). If you like precise searching like this, learn more about field code searching here, or watch this video. You can also learn more about NoveList's genres by checking out our Guide to Genres and Book Discovery or watching our Appealing to Genre Readers webinar.
We've heard both the terms "rural romance" and "Outback romance" to describe books like Outback Sisters. We'd like to know what term you use for these books and we'd especially love feedback from our Australian librarians and readers. Got an opinion? Let us know. Add your comment below or contact us.
Christine Wells is a Metadata Librarian II.
Your comment will be reviewed by a moderator for approval.


text:
Molly Cuddy
by Channing Russell
Consider the stereotypical "blonde." Is it true "blondes have more fun" and live up to the "dumb blonde" jokes?
Meet Molly Cuddy of Nottingham High School. She is a natural blonde born May 16, 2000 in Princeton, New Jersey. Molly grew up in Hamilton, New Jersey and, at 17, has already read the classics like The Great Gatsby and writes for the school newspaper, Star Status.
So is Molly characterized as a stereotypical dumb blonde who only seeks to have fun? She says "yea…. it happens". However, some people take one look at her hair and assume the worst of her intellect without knowing she participates in Field Hockey, Lacrosse, and has been active in four plays during her high school career.
Among her numerous activities, Molly has taken an acute liking to creative writing. She started writing short stories in third grade where she says her teacher, Ms. Khan, loved her work and inspired her to continue writing. Molly's short stories draw inspiration from a wide range of topics, but mainly she claims to "write what [she] knows." Whether it be the teenage experience, poetry, romance or the trip she took to London, Molly Cuddy is able to craft a beautiful story.
Molly plans to further her education at Syracuse University and dreams of becoming an author so she can express herself to a larger audience.
How's that for a blonde?
Alan Dang
by Joelle Tancredi
John and Lien immigrated from Thailand to pursue the American Dream. They found that dream in Lien's son, Alan Dang, a 16-year-old from Manchester Township, New Jersey, with large aspirations.
Alan sees two potential futures for himself: in the first, he is at Princeton University, studying to become either a doctor or a lawyer. A dedicated student, he prioritizes his grades and enjoys attending school. At an Ivy League school like Princeton, he could spend his college years preparing for a lucrative career to enable him to support his family financially. His parents, like many who had to start over in a foreign country, want Alan to follow that American Dream and reach his highest potential.
If Alan does not get into Princeton, he will, instead, attend Rutgers, studying something completely different: Journalism. According to Alan, he enjoys listening to stories and can envision himself as a reporter in the future.
Alan's love for stories began at a young age. He grew up speaking Vietnamese and had trouble understanding English until he enrolled in an ESL (English As A Second Language) program. At age eight, with the help of his mother and a second grade teacher, he learned English. His love for stories grew as he read more and more fantasy stories with his mother at the library.
Whether he goes to Princeton or Rutgers, Alan wants to remain involved with journalism. As he starts his junior year, he still has time to think about his career path, but he knows that these are the paths he wants to explore.
Victoria Mione
by Tahirah Khan
After years of dreaming of becoming an entertainment and music journalist, 17-year-old Victoria Mione got her first article published last spring. The article "Four Affordable and Stylish Stores For Plus Size Teen Girls" was published in the online teen magazine Affinity.
"I was really excited," she says recalling the day she found out the story was posted. Since then she has written five more articles for Affinity about art and music.
Born and raised in Old Bridge, New Jersey, Victoria, senior at Old Bridge High School, is Irish, Danish and Italian. She is the youngest of four, and grew up in a musically oriented family. Victoria plays the guitar, piano, ukulele and sings and writes songs. Both her brother, Peter Jr and sister, Alexa also have musical interests.
Her interest in writing was sparked in the third grade after writing a poem on the weather. Ever since then writing has been a hobby alongside of her music interests.
For Victoria, writing channels her emotions and has been a way to express her feelings without directly expressing them.
"I write when I am sad, mad, and happy," Victoria says.
Victoria plans on attending a college in the city rather than staying local. She plans on majoring in Journalism.
Matt Chirico
By Ria Malatesta
Matt Chirico warns us to look twice when watching supposedly "open" and "unfiltered" government news.
Matt is a 17-year-old from Manchester with sharp values of honesty, authenticity, and straightforwardness. These values are reflected in his interest and expertise with subjects ranging from politics to sports.
"I'm a strong believer in trusting the first instinct you have when you meet a person for the first time," he said, referencing his distrust for politicians with "crooked" backgrounds.
Matt's ethnic background – he's Syrian and Lebanese -has played an especially important role in determining his perspective on the government's role in the Syrian refugee crisis.
"I don't want to believe the media entirely. You can never know what the government keeps from the public; are they really fighting terrorists in Syria?" he said.
These ideas have progressed since Matt was 13, citing his fascination with various YouTube videos of conspiracies surrounding the Kennedy terms, 9/11, and other government-related activity.
His interest with YouTube did not stop at conspiracy videos. Inspired by a friend who runs a thriving YouTube page as a daily vlogger, Matt decided to start his own daily vlogs, though he stopped in July.
"It was too time consuming," he said. "For the feedback I was getting and how much work I put in, it wasn't worth it."
However, Matt resumed work in his other hobbies – baseball, music-making and sports media – with dreams of becoming a sports newscaster like Stephen A. Smith, a fellow straight-forward and authentic speaker.
Mustafa Ali
By Raven Harper
Mustafa Ali has spent his entire life in Piscataway, New Jersey, but has a vision beyond a small city, in a small state: he wants to be a human rights lawyer to help people in court who don't have the funds to do so.
Mustafa, 16, is the oldest of three. Both of his parents are from Pakistan. His mom is a stay-at-home mom, and his dad is a price manager for Honeywell. Growing up, his parents have always told him to help people who don't have a voice. This comes from his religion, Islam.
"In Islam, there is a saying, 'What you do with your right hand, your left hand shouldn't know', " he says. In other words, you shouldn't do things just to get praise and attention for it.
Another thing that inspired his career goals, came from a common teenage pastime – television. Mustafa would watch tv and news, and wonder why and how certain things happened. For example, when President Donald Trump announced his travel ban, Mustafa was intrigued as to why Trump wanted to prevent certain immigrants from entering the United States, when America is built on diversity. The reason America is the country that it is today, is because of all the immigrants that have come here, so he started looking it up and researching about it.
After he graduates from high school in 2019, Mustafa hopes to go out of state for college, but he is not sure if he will have the money to do so. He plans to major in law and journalism when he starts college in the fall of 2019. Mustafa hopes to go out-of-state for college, but he is not sure if he will have the money to do so. He plans to major in law and journalism when he starts college in the fall of 2018.
Ria Malatesta
by Matt Chirico
Ria Malatesta is an aspiring writer who had a dream of getting her work published. The young author had always had aspirations of being a published writer but has not found a publisher that best fits her and her writing style.
The 17-year-old Fort Lee, New Jersey native's inspiration for writing stems from her love for Rick Riordan's "Percy Jackson" series. Said Ria, "I always admired his detail and character development. I try to do the same when writing my short stories."
While Ria's writing often reflects her emotions, she has also found the guitar as a way to channel her inner feelings. She said her passion for guitar stems from YouTube videos that she used to watch.
Ria describes her music as a way to channel her emotions and she listens to whatever genre of music seems to fit her mood at the time. Before she discovered her love for writing and playing the guitar, Ria played soccer but eventually let go of sports due to the constant pressure from coaches, peers, and spectators. With her love for literature, Ria hopes to attend Columbia University to focus on reading and writing while continuing to look for publishers for her short stories.
Raven Harper
By Mustafa Ali
Combining your passion with your career isn't something many can do, but Raven Harper plans to do it.
Raven Harper, a 16-year-old Houston, Texas native, hopes to major in Journalism and African-American studies. Raven wants a job that will allow her to be a voice for people of color.
Journalism, she hopes, will help her do that. And her plans also include pursuing a major in African-American studies. It's about giving a voice to the voiceless, she says.
Raven hopes to be a journalist covering injustice happening in communities such as police brutality against African Americans.
Her father's job as a freelance ministry consultant led her family to move from Houston to New Jersey in 2015.
At Plainsboro High School, where she'll be a senior, Raven is a special assignment officer for the student council. She plans and organizes notable school events such as prom and other dances.
When Raven isn't in school, she spends her time buying and doing her makeup, but with a purpose – she eventually hopes to start her own YouTube channel.
She also likes to read books on African-American history so that when she begins her blog, she is aware and "woke." Some of her favorite books include "The Autobiography of Malcolm X" and "I Know Why the Caged Bird Sings."
"It's important to be knowledgeable about African-American History especially with the majors I would like to pursue," Raven says.
Joelle Tancredi
by Alan Dang
Joelle Tancredi developed an ambitious and creative dream of becoming a writer. Now 17, Joelle is focusing that fascination outward. With eyes on becoming a professional writer, she has been studying journalism for the last three years at Old Bridge High School in her hometown of Old Bridge, New Jersey.
Joelle can trace her fascination with the world around her to when she was 3. She would routinely create stories by drawing pictures. It was the news from the mind of young Joelle, and the kindling of a lifelong passion.
As a child, she could always be found buried in books, like her personal favorite Walk on Two Moons by Sharon Creech. In third grade, she was accepted into a Literacy Challenge program. During the three years in that program, Joelle said her teacher challenged her to write based on what she was absorbing from her surroundings.
"When I was very little, my mother encouraged me to use my imagination and create a world of my own," she said with a smile.
In middle school, Joelle discovered that she wants to be a writer. For a year, she was the editor and publisher of a life-saving story on the polio vaccine. With the best intentions, middle school helped guide her bright and wonderful future.
In high school, Joelle found journalism and fell in love. She quickly rose through the ranks at her high school paper, Knight Life, and has been an editor for two years.
In the 10th grade, she was the business editor and fashion editor. Now, she is proudly the senior editor in her staff. A rising senior, Joelle hopes to major in Journalism in college. On her own time, she prefers to write, study psychology, and dance to tap. As a writer, she wants to make stories and magazines for a company. Her main interest is politics and the universal issues being discussed on CNN.
At the workshop, Joelle hopes to sharpen her skills for the real world of professional journalism. She wants to figure out how she needs to write, in order to compete with the standards of today.
Tahirah Khan
By Victoria Mione
Tahirah Khan, a 17-year-old senior who attends North 13th Street Tech in Newark, says she's always loved writing and has used that passion to get through some hard times. When she decided it was time to take a risk and come out as bisexual to a family that didn't understand, she turned to her pen and paper for comfort.
Tahirah was born in Guyana, a country in the northeastern corner of South America, and came with her mother to America when she was 2 years old. Tahirah says her growing up in a Guianan family impacted how she struggled with her sexuality, since her family is, according to Tahirah, "really religious, judgmental, and small-minded".
Even so, Tahirah came out to her family earlier this year. "When I told my stepmom I had a girlfriend, she said that's not acceptable," Tahirah said. "I feel like when I came out she [stepmom] didn't have respect for me. It was like I was a stranger in my own house."
"I like people. I don't just like boy or girl, they're just people." said Tahirah. Tahirah loves tattoos and piercings, and has some of both: she has a tongue and tragus piercing, and a tattoo of a crown on her chest. She also has a tattoo of a heartbeat with her mother's name on her shoulder since her mother died of a heart attack when Khan was five years old.
She took her first journalism class this year in school, and didn't like it at first – until she wrote a story on Enrique's Journey and got to meet the author, Sonia Nazario.
Though she plans on majoring in journalism in college, Tahirah says she wants to go to law school as well.
She takes a law class in school, which touches on the police academy and criminals, and dreams of being a lawyer when she grows up. Law appeals to Tahirah due to her love for debating and criminal law is especially intriguing to her because she finds criminal justice interesting.
Channing Russell
By Molly Cuddy
Channing Russell is an athlete, but he's far from a stereotypical high school jock.
The 17-year-old from West Orange, New Jersey, is dedicated to his teams; he is charismatic and passionate when he talks about sports. And Channing, who will be a senior at The Pingry School in Bernards Township, New Jersey, wants to share that love with others, by writing on his blog, Blaise Sports.
Launched during the summer of 2016, the blog focuses on some of Channing's key interests.
"I write about sports and race issues and when that intersects, I write about that," he said. "Those are two things that are really important to me."
Channing got into the world of sports journalism from his being exposed to sports his entire life. That interest also led him to play sports. He started playing flag football when he was seven and now is a Wide Receiver for the Pingry football team.
He's also on the school's basketball team, inspired by his father who played basketball at Fordham University. Channing is extremely dedicated to his team which leaves little time for other activities.
Although he is more familiar with print journalism, Channing said he hopes he can one day branch out to broadcasting. He hopes to attend the Newhouse school at Syracuse University to continue studying sports journalism.
But Channing doesn't focus all of his time on sports. He's active in his school's Politics Club. He enjoys listening to rap music and being a part of an African American social organization called Jack and Jill.
Said Channing, "I like speaking up for what I believe in and making sure I get heard."


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Washington, DC, April 18, 2011 – Today, the World Bank (International Bank for Reconstruction and Development, rated Aaa/AAA) launched a Brazilian Real (BRL) 3-year note fixed rate note (settlement date: April 28, 2011). The notes mature on April 28, 2014, and have an annual coupon of 9%.
The notes will be placed with European and Asian investors via HSBC Bank plc and Deutsche Bank as the lead managers.
Transaction Summary:
Amount: BRL 100 billion (USD equivalent 63.2 million)
Settlement date: April 28, 2011
Maturity date: April 28, 2014
Issue price: 101.124%
Coupon: 9% annually
Denomination: BRL 5,000
Listing: Luxembourg Stock Exchange
Clearing systems: Euroclear and Clearstream
About the World Bank
The World Bank (International Bank for Reconstruction and Development, IBRD), rated Aaa/AAA (Moody's/S&P), is an international organization created in 1944. It operates as a global development cooperative owned by 187 nations. It provides its members with financing, expertise and coordination services so they can achieve equitable and sustainable economic growth in their national economies and find effective solutions to pressing regional and global economic and environmental problems. The overriding goal is to achieve major, sustainable improvements in standards of living worldwide. It has been issuing bonds in the international capital markets for over 60 years to fund its activities. Information for investors is available on the World Bank Treasury website: (www.worldbank.org/debtsecurities).


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Placement test
A placement test (/ˈpleɪsmən(t )ˈtest/), sometimes level-placement test is a test designed to determine a student's language proficiency level, e.g. of English. These are typically administered before a student starts a course, so that the students can be grouped into classes according to ability.
These can be done on a computer or with pen and paper.
They are low-stakes tests because any invalidity or unreliability in them can usually be rectified later by moving an overperforming or underperforming student into a different class. They also can be reused, unlike other types of exams. Cheating should not generally be a problem, but it may be a good idea to explain to students that cheating will only result in misplacement, making classes too difficult, confusing, ineffective and boring.
Because the purpose is to place students into classes, gradation of the tests can be fairly coarse.
An example would be the Anglia Examinations free one online [1]


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Moving companies work to ensure that the clients' relocation is a success. This service involves everything from packing and loading to transporting and unloading. In the last five years, there has been a significant increase in the number of people relying on moving services for their relocation needs.
Packaging and loading can be done by moving companies or independent moving contractors. The key difference between local movers and moving truck services is that in most cases, the movers will bring all your belongings to you and will be responsible for getting them all to the new location safely and intact. Moving truck services are usually able to get your belongings safely to the new home or apartment by using several smaller moving trucks, which are oftentimes loaded in a single operation. This saves time, energy, and money since the move can be done in one trip instead of having to transport your belongings several times.
Most moving companies that provide moving truck services have a dedicated driver, who will ensure that the items being moved are unloaded safely. One should also remember that moving companies must abide by certain requirements as a minimum, in order to legally operate in the United States.
Before signing any contracts with a specific moving company, one should do his or her research. One should always choose a moving company that carries a license. Also, if the moving company has a license to transport goods, one should always choose a moving company that provides local pick up and delivery services, rather than moving truck services.
Movers can also benefit from using a moving truck service. It is important to note that these are different than moving truck services. With these services, a moving truck will arrive at your new location and will be responsible for moving your belongings to their new destination. However, there are some limitations that must be considered when using these services.
The most common limitation that is associated with using a moving truck is that there is no guarantee that all the items can be moved safely. There is also no guarantee that your belongings will be transported in the same condition that they were previously when they were packed. Also, this service does not guarantee that your belongings will be packed properly. Most companies that offer a local pickup service charge an additional fee for safe and secure packaging.
Another limitation that is associated with using a moving truck is that the truck driver cannot hold any belongings that the client requests. If the client makes the request, he or she will either be refunded or the belongings will be left behind at the new location. These services usually do not provide customer support. They also usually do not reimburse any service fees.
In addition to storing all your items in a special box, moving companies will also pack them securely. With their employees carrying heavy boxes, the odds of breakage are greatly reduced. The need for having an experienced moving professional will also be eliminated.
When using a moving truck, there is a lot less chance of damage to your belongings. One should also remember that with most moving trucks, the boxes must be lifted by forklifts and not with hand tools. Furthermore, most moving trucks will provide clients with a service contract and storage contract in order to limit damage to your belongings.
Moving companies that work with packing materials can guarantee that your items will arrive safely. Unlike trucking companies, moving companies that offer packing services can also work with customers on providing boxes and other items needed for the move. It is important to remember that some moving companies provide moving truck service, while others offer packing services only.
Moving companies that offer moving truck service, usually have the tools to pack and transport your belongings. The main benefit of using these services is that the items are safe, protected, and can be shipped in the most efficient manner possible. However, they still require a service contract and storage contract, so make sure that you thoroughly read all the terms and conditions before entering into any agreements.
Generally, the price of hiring a moving truck service depends on a number of factors. These include the number of items to be moved, the distance between the new location and the old location, the duration of the move, and how many hours the company offers to help with packing and moving. Any move is more expensive when you use a moving truck service and moving truck to deliver your belongings safely.


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To encourage puppies to use them, some puppy training pads contain pheromone and gradually, your pup will not use any other surface around the house. Some brands include additional substances to neutralize smell. From these points of view, they are quite useful. You will not wonder where the smell comes from and where did the pet eliminate. Some dogs do not like going outside when it is too cold or wet and they do not eliminate, so these pads are perfect to avoid the extra trips. Some owners work long hours and they are not around the house all day long, so dogs are not able to attain the bladder to hold it in. to avoid such stressful situations, for both parties, placing a pad in a corner is very helpful and relieving. What is more, some adult dogs suffer from incontinence and training pads work in this case as well.
Owning and looking after a pet is easier these days, all thanks to manufacturers and pet shops that provide all essential supplies. So many accessories and supplements make it more enjoyable to take care of companions and save a lot of valuable time. Pet shops usually have products categorized based on the type of pet a person has, so you know from the beginning what you have to purchase. Besides feeding and grooming your cat, offering it the possibility to maintain and express their natural instances is essential. At first, a cat scratching post seems simply an accessory, but it should exist in every home, because it has some amazing features and it is indispensable. Cats do not use it just to sleep on it or become a piece of furniture; its goals go further than that.
Cats have the tendency of scratching and they start doing so on your sofa, chairs, drapes and anything that seems appealing or has the required surface for it. They do have energy to spare and a cat scratching post is great at allowing them to release it. They can play around, unwind their torso, sharpen their claws and simply use it on a daily basis. They are stressed as well and different scratching posts allow them to consume the extra energy. This is because there are many types available on the market, covered in rope, material, they have hanging elements and more. Even if you have multiple cats, they will gather around it, socialise and interact. As seen, there are various purposes to it and an investment worth making from the moment you get the cat.
Animals have natural instincts and needs and owners have to understand them in order to provide the necessary support and environment. They can read about them online, ask vets and specialists and find out which the most recommended products are and which are worth buying. Pet shops specialise in all sorts of supplies and make it easier to purchase diverse products, all useful to assure wellbeing and a healthy environment. Cats and dogs are loving animals, they offer companionship and support throughout their lifetime, and owners need to provide for them.
Resource Box: Are you planning to get a puppy and want to train it properly? Count on quality https://www.petshopdirect.com.au/ puppy training pads and make the situation easier for both of you. In case you have a cat, do not hesitate about the https://www.petshopdirect.com.au/ cat scratching post , being essential for its health and for rescuing your furniture.
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Article Added on Friday, July 19, 2019
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