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### Instruction:
Extract the cause and effect entities from the following sentence:
These systems employ sound signals instead of ultrasound signal to avoid the signal attenuation
### Assistant:
NEGATION: instead of
VARIABLE: These systems
CONDITION: ultrasound signal
CAUSE_1: These systems employ sound signals
CAUSE_2: instead of ultrasound signal
EFFECT_1: to avoid the signal attenuation
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Because the devices use a radio (broadcast) communications system, they do not have to be in the LoS of each other and the synchronization is avoided
### Assistant:
KEYWORD: Because
VARIABLE: the synchronization
CONDITION: have to be in the LoS of each other
NOT_RELEVANT: (broadcast)
CAUSE_1: communications system
NEGATION: is avoided
AND: and
EFFECT_2: the synchronization
EFFECT_1: they do not have to be in the LoS of each other
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
By reading and identifying the tags (Assuming that the readers are placed in a well known position) the distance or the placement of nodes estimation is calculated
### Assistant:
CONDITION: is calculated
AND: and
VARIABLE: the placement of nodes estimation
NOT_RELEVANT: (Assuming that the readers are placed in a well known position)
OR: or
CAUSE_1: reading
CAUSE_2: identifying the tags
EFFECT_1: the distance
EFFECT_2: the placement of nodes estimation is calculated
KEYWORD: By
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
To compute the distances to anchors, the trilateration make use of the previously reviewed distance estimation techniques
### Assistant:
CONDITION: make use of the previously reviewed distance estimation techniques
VARIABLE: the trilateration
EFFECT_1: To compute the distances to anchors
CAUSE_1: the trilateration make use of the previously reviewed distance estimation techniques
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
When a node desires to compute its position but the anchors are not in the node’s range, it makes use of its neighbor nodes as relays to reach the beacon nodes and eventually compute its current position
### Assistant:
KEYWORD: When
VARIABLE: its current position
CONDITION: compute
AND: and
CAUSE_1: a node desires to compute its position
NEGATION: not
CAUSE_2: the anchors are not in the node’s range
NOT_RELEVANT: eventually
EFFECT_1: it makes use of its neighbor nodes as relays to reach the beacon nodes
EFFECT_2: compute its current position
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Generally, to compute the position two angles plus a distance between two well known anchors are needed (2 Dimensions - for 3 Dimensions also the azimuth is used)
### Assistant:
NOT_RELEVANT: (2 Dimensions - for 3 Dimensions also the azimuth is used)
VARIABLE: a distance between two well known anchors
CONDITION: are needed
EFFECT_1: to compute the position
AND: plus
CAUSE_1: two angles
CAUSE_2: a distance between two well known anchors are needed
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In this case context tags are used to implement the context-aware technologies
### Assistant:
CONDITION: are used
VARIABLE: context tags
EFFECT_1: to implement the context-aware technologies
KEYWORD: In this case
CAUSE_1: context tags are used
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Also, middleware software architectures should offer mechanisms to achieve adaptive and efficient system resources use, in order to prolong the sensor network's life
### Assistant:
CONDITION: to prolong
VARIABLE: the sensor network's life
NOT_RELEVANT: Also
CAUSE_1: middleware software architectures should offer mechanisms
AND: and
EFFECT_1: to achieve adaptive
EFFECT_2: efficient system resources use
KEYWORD: in order
EFFECT_3: to prolong the sensor network's life.
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
A global WSN’s behavior is programmed at a high-level specification that enables node concerned about dealing with low-level
### Assistant:
KEYWORD: that
CONDITION: is programmed at a high-level specification
EFFECT_1: enables node concerned about dealing with low-level
VARIABLE: node concerned about dealing
CAUSE_1: A global WSN’s behavior is programmed at a high-level specification
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In this sense, the middleware layer in Wireless Sensor Networks has to implement some mechanisms in order to reach efficient deployments of context applications over Wireless Sensor Networks
### Assistant:
KEYWORD: in order
CONDITION: has to implement some mechanisms
VARIABLE: the middleware layer in Wireless Sensor Networks
EFFECT_1: to reach efficient deployments of context applications over Wireless Sensor Networks
NOT_RELEVANT: In this sense
CAUSE_1: the middleware layer in Wireless Sensor Networks has to implement some mechanisms
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The contextual model implemented by this proposal allows using different reasoning mechanisms like first order logic and temporal logic
### Assistant:
KEYWORD: allows
VARIABLE: different reasoning mechanisms
CONDITION: using
CAUSE_1: The contextual model implemented by this proposal
EFFECT_1: using different reasoning mechanisms
NOT_RELEVANT: like first order logic and temporal logic
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The context interpretation is achieved by using an interpreter based on fuzzy rules called CIBFR (Context Interpreter Based on Fuzzy Rule)
### Assistant:
KEYWORD: by
VARIABLE: an interpreter
CONDITION: using
EFFECT_1: The context interpretation is achieved
CAUSE_1: using an interpreter based on fuzzy rules
NOT_RELEVANT: called CIBFR (Context Interpreter Based on Fuzzy Rule).
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Otherwise, weak WSN devices enable higher deployment densities and increase network lifetime as they are cheaper and consume less power
### Assistant:
CONDITION: consume less power
VARIABLE: they
CAUSE_1: weak WSN devices
EFFECT_1: enable higher deployment densities
AND: and
EFFECT_2: increase network lifetime
NOT_RELEVANT: Otherwise
KEYWORD: as
CAUSE_2: they are cheaper
CAUSE_3: consume less power
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
By integrating devices with different resources and capabilities, a heterogeneous WSN can combine the advantages of both powerful and weak devices
### Assistant:
CONDITION: powerful
VARIABLE: a heterogeneous WSN
AND: of both
CAUSE_1: integrating devices with different resources
EFFECT_1: powerful
EFFECT_2: weak devices
KEYWORD: By
CAUSE_2: capabilities
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
New programming models are necessary to simplify WSN application development and increase overall network utility
### Assistant:
VARIABLE: overall network utility
CONDITION: increase
CAUSE_1: New programming models are necessary
EFFECT_1: to simplify WSN application development
AND: and
EFFECT_2: increase overall network utility
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
These services are dynamically discovered and used at run-time, enabling applications to be platform-independent and adapt to network dynamics
### Assistant:
CONDITION: used at run-time
VARIABLE: These services
EFFECT_1: enabling applications to be platform-independent
AND: and
EFFECT_2: adapt to network dynamics
CAUSE_1: These services are dynamically discovered
CAUSE_2: used at run-time
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
While service-oriented computing is widely used on the Internet, adopting it to WSNs is non-trivial due to the extremely limited resources available and highly dynamic nature
### Assistant:
KEYWORD: due to
VARIABLE: the
CONDITION: highly dynamic
CAUSE_1: service-oriented computing is widely used on the Internet
EFFECT_1: adopting it to WSNs is non-trivial
AND: and
CAUSE_2: the extremely limited resources available
CAUSE_3: highly dynamic nature
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Services are able to maintain state, provide multiple methods, and have their own thread of control, enabling them to operate in parallel with task
### Assistant:
CONDITION: provide multiple methods
VARIABLE: Services
EFFECT_1: enabling them to operate in parallel with task.
AND: and
CAUSE_1: Services are able to maintain state
CAUSE_2: provide multiple methods
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
To achieve the previous exposed goals, SNMS develops a gathering tree to collect network health information, introducing a minimal impact on memory and network traffic
### Assistant:
CONDITION: introducing
VARIABLE: a minimal impact on memory
EFFECT_1: To achieve the previous exposed goals
AND: and
CAUSE_1: SNMS develops a gathering tree to collect network health information
CAUSE_3: network traffic
CAUSE_2: introducing a minimal impact on memory
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
On the other hand, SNMS network management function is limited to passive monitoring only, requiring human managers to submit queries and perform post-mortem analysis of management data
### Assistant:
NOT_RELEVANT: On the other hand
VARIABLE: human managers
CONDITION: perform post-mortem analysis of management data
AND: and
CAUSE_1: SNMS network management function is limited to passive monitoring only
EFFECT_1: requiring human managers to submit queries
EFFECT_2: perform post-mortem analysis of management data
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
To interconnect different SSNs is proposed the use of gateways
### Assistant:
CONDITION: the use of
VARIABLE: gateways
EFFECT_1: To interconnect different SSNs
KEYWORD: is proposed
CAUSE_1: the use of gateways
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Event-centric wireless sensor networks (EC-WSNs) differ from common WSNs, where the communications are triggered either by an on-demand or a sink-based process
### Assistant:
KEYWORD: where
VARIABLE: Event-centric wireless sensor networks
CONDITION: differ from common WSNs
OR: or
CAUSE_1: the communications are triggered either by an on-demand
CAUSE_2: a sink-based process
NOT_RELEVANT: (EC-WSNs)
EFFECT_1: Event-centric wireless sensor networks (EC-WSNs) differ from common WSNs
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Indeed, in this case, the communication is triggered only when an event is detected in the immediate sensing-range of a node
### Assistant:
NOT_RELEVANT: Indeed, in this case
KEYWORD: only when
VARIABLE: the communication
CONDITION: is triggered
CAUSE_1: an event is detected in the immediate sensing-range of a node
EFFECT_1: the communication is triggered
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Attacks from malicious motes that are not part of the network and try to join it without authorization, are often done applying cryptanalysis techniques and attacking physically the device
### Assistant:
VARIABLE: the device
CONDITION: applying
NEGATION: without
AND: and
NOT_RELEVANT: are often done
CAUSE_2: applying cryptanalysis techniques
CAUSE_3: attacking physically the device
KEYWORD: that
CAUSE_1: Attacks from malicious motes
EFFECT_1: are not part of the network
EFFECT_2: try to join it
EFFECT_3: without authorization
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Motes are part of the network and they may attack if they have been compromised by an attacker that has manipulated them [66]
### Assistant:
KEYWORD: that
AND: and
VARIABLE: they
CONDITION: has manipulated them
EFFECT_1: they may attack
CAUSE_1: they have been compromised by an attacker
NOT_RELEVANT: [66]
CAUSE_2: has manipulated them
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Thus also studies made by our researchers [78], has been shown that the use of the AES algorithm reduces half the batteries life
### Assistant:
KEYWORD: has been shown that
NOT_RELEVANT: Thus also studies made by our researchers [78],
CONDITION: reduces half
VARIABLE: the batteries life
CAUSE_1: the use of the AES algorithm
EFFECT_1: reduces half the batteries life
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The traditional DES (Data Encryption Standard) uses many computational resources and therefore it isn’t recommended [79] for use in WSN
### Assistant:
KEYWORD: therefore
VARIABLE: it
NOT_RELEVANT: [79]
CONDITION: for use in WSN
NEGATION: isn’t
CAUSE_1: The traditional DES (Data Encryption Standard) uses many computational resources
EFFECT_1: for use in WSN
AND: and
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In digital mobile networks, location data giving the geographic position of the terminal equipment of the mobile user are processed to enable the transmission of communications
### Assistant:
CONDITION: are processed
VARIABLE: digital mobile networks
EFFECT_1: to enable the transmission of communications
CAUSE_2: location data giving the geographic position of the terminal equipment of the mobile user are processed
KEYWORD: In
CAUSE_1: digital mobile networks
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Sender and receiver share a secret key to generate and verify a MAC (Message Authentication Code) [72]
### Assistant:
CONDITION: share a secret key
AND: and
VARIABLE: receiver
NOT_RELEVANT: (Message Authentication Code) [72]
EFFECT_1: to generate
EFFECT_2: verify a MAC
CAUSE_1: Sender
CAUSE_2: receiver share a secret key
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
However it may cause a bottleneck process from the sensor nodes if there is excessive traffic on the network
### Assistant:
KEYWORD: if there
CONDITION: may cause a bottleneck process from the sensor nodes
CAUSE_1: is excessive traffic on the network
VARIABLE: traffic on the network
EFFECT_1: it may cause a bottleneck process from the sensor nodes
NOT_RELEVANT: However
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
This mechanism based on multiple MAC messages and requires that network nodes have a key ring
### Assistant:
KEYWORD: and requires that
VARIABLE: This mechanism
CONDITION: based on multiple MAC messages
EFFECT_1: network nodes have a key ring
CAUSE_1: This mechanism based on multiple MAC messages
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
To authenticate a message, the source node generate a list of MAC based on their keys, and added them to the message
### Assistant:
CONDITION: added them to the message
VARIABLE: the source node
EFFECT_1: To authenticate a message
AND: and
CAUSE_1: the source node generate a list of MAC based on their keys
CAUSE_2: added them to the message
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The drawback is that in order to operate the device, the computer needs to be running
### Assistant:
KEYWORD: in order
CONDITION: needs to be running
VARIABLE: the computer
NOT_RELEVANT: The drawback is that
EFFECT_1: to operate the device
CAUSE_1: the computer needs to be running
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Networked device: Arduino boards can participate in a network, either using Ethernet or ZigBee shields with the corresponding libraries
### Assistant:
OR: or
VARIABLE: Arduino boards
CONDITION: can participate in a network
CAUSE_1: using Ethernet
CAUSE_2: ZigBee shields with the corresponding libraries
EFFECT_1: Arduino boards can participate in a network
NOT_RELEVANT: Networked device
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
A huge number of embedded devices today run *NIX-like operating systems such as GNU/Linux and are open or hacked so that they can run custom software
### Assistant:
KEYWORD: so that
VARIABLE: A huge number of embedded devices
CONDITION: hacked
EFFECT_1: they can run custom software
AND: and
OR: or
NOT_RELEVANT: such as GNU/Linux
CAUSE_1: A huge number of embedded devices today run *NIX-like operating systems
CAUSE_2: are open
CAUSE_3: hacked
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Eventing: if devices are meant to receive commands and notify events, a callback mechanism should be implemented
### Assistant:
KEYWORD: if
VARIABLE: a callback mechanism
CONDITION: should be implemented
AND: and
NOT_RELEVANT: Eventing
CAUSE_1: devices are meant to receive commands
CAUSE_2: notify events
EFFECT_1: a callback mechanism should be implemented
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
As an example, an increasing number of hobbyists that want wireless battery-powered devices buy ready-to-use ZigBee modules [14]
### Assistant:
VARIABLE: an increasing number of hobbyists
CONDITION: buy ready-to-use ZigBee modules
CAUSE_1: want wireless battery-powered devices
NOT_RELEVANT: As an example
EFFECT_1: buy ready-to-use ZigBee modules
KEYWORD: that
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
These modules are easy to use as they behave like simple modems (communication uses serial and configuration is done through Hayes AT commands)
### Assistant:
KEYWORD: as
VARIABLE: These modules
CONDITION: are easy to use
NOT_RELEVANT: (communication uses serial and configuration is done through Hayes AT commands)
EFFECT_1: These modules are easy to use
CAUSE_1: they behave like simple modems
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
A radio is considered in “Shunting Mode” when it is prepared to receive shunting emergency calls but cannot receive train emergency calls
### Assistant:
KEYWORD: when
VARIABLE: A radio
CONDITION: is considered in “Shunting Mode”
AND: but
NEGATION: cannot
CAUSE_1: it is prepared to receive shunting emergency calls
CAUSE_2: cannot receive train emergency calls
EFFECT_1: A radio is considered in “Shunting Mode”
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
A radio is considered in “Train Mode” when it is prepared to receive train emergency calls but cannot receive shunting emergency calls
### Assistant:
KEYWORD: when
VARIABLE: A radio
CONDITION: is considered in “Train Mode”
AND: but
NEGATION: cannot
CAUSE_1: it is prepared to receive train emergency calls
CAUSE_2: cannot receive shunting emergency calls
EFFECT_1: A radio is considered in “Train Mode”
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The EIRENE Functional Requirements Specification defines a set of requirements which a railway radio system should comply with, in order to facilitate international interoperability between national railways and manufacturing economies of scale
### Assistant:
KEYWORD: which
CONDITION: should comply with
VARIABLE: a railway radio system
EFFECT_1: to facilitate international interoperability between national railways and manufacturing economies of scale
CAUSE_2: a railway radio system should comply with
CAUSE_1: The EIRENE Functional Requirements Specification defines a set of requirements
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Any user who is not within the list of allowed EIRENE users shall not be able to gain access to any of the functions and services provided by the network
### Assistant:
VARIABLE: Any user
NEGATION: shall not
CONDITION: services provided by the network
CAUSE_1: is not within the list of allowed EIRENE users
EFFECT_1: shall not be able to gain access to any of the functions
AND: and
EFFECT_2: services provided by the network
KEYWORD: who
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The level of coverage should be at least 95% of the time over 95% of the designated coverage area for a radio installed in a vehicle with an external antenna
### Assistant:
KEYWORD: for
VARIABLE: The level of coverage
CONDITION: should be at least 95% of the time over 95% of the designated coverage area
AND: with
CAUSE_1: a radio installed in a vehicle
CAUSE_2: an external antenna
EFFECT_1: The level of coverage should be at least 95% of the time over 95% of the designated coverage area
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Any environmental and physical requirements stated may be superseded by national requirements if the national standards provide a higher level of environmental and physical protection
### Assistant:
KEYWORD: if
VARIABLE: physical requirements stated
CONDITION: may be superseded by national requirements
AND: and
CAUSE_1: the national standards provide a higher level of environmental
CAUSE_2: physical protection
EFFECT_1: Any environmental
EFFECT_2: physical requirements stated may be superseded by national requirements
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If the system is not able to connect the call, an audible and visual indication shall be provided to the driver that the call was not received by the controller
### Assistant:
VARIABLE: visual indication
NEGATION: is not
CONDITION: shall be provided to the driver that the call was not received by the controller
KEYWORD: If
CAUSE_1: the system is not able to connect the call
AND: and
EFFECT_1: an audible
EFFECT_2: visual indication shall be provided to the driver that the call was not received by the controller
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Additional information may also be provided if available from external systems
### Assistant:
KEYWORD: if
VARIABLE: Additional information
CONDITION: available from external systems
CAUSE_1: available from external systems
EFFECT_1: Additional information may also be provided
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
It shall not be possible for any General purpose radio user to send a Railway emergency call by dialling a short code or telephone number
### Assistant:
VARIABLE: a short code
OR: or
CAUSE_1: any General purpose radio user
CAUSE_2: telephone number
NEGATION: not be possible
NOT_RELEVANT: It shall
KEYWORD: by
CONDITION: to send a Railway emergency call
EFFECT_1: to send a Railway emergency call
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The user may then talk whilst the PTT function is used
### Assistant:
KEYWORD: then
VARIABLE: The user
CONDITION: talk
CAUSE_1: the PTT function is used
EFFECT_1: talk
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Changing the battery should not result in losing data stored in the radio
### Assistant:
VARIABLE: data stored in the radio
CONDITION: result in losing
NEGATION: should not
CAUSE_1: Changing the battery
EFFECT_1: should not result in losing data stored in the radio
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If the ability to initiate Railway emergency calls is implemented in the radio, accidental initiation of a Railway emergency call shall be prevented
### Assistant:
KEYWORD: If
CONDITION: shall be
VARIABLE: accidental initiation of a Railway emergency call
CAUSE_1: the ability to initiate Railway emergency calls is implemented in the radio
NEGATION: prevented
EFFECT_1: accidental initiation of a Railway emergency call shall be prevented
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
It shall be possible to change the battery without losing data stored in the radio
### Assistant:
NEGATION: without
CONDITION: change
VARIABLE: the battery
EFFECT_1: without losing data stored in the radio
CAUSE_1: change the battery
NOT_RELEVANT: It shall be possible to
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For activation, a maximum of 2 MMI actions should be allowed
### Assistant:
KEYWORD: For
VARIABLE: a maximum of 2 MMI actions
CONDITION: should be allowed
CAUSE_1: activation
EFFECT_1: a maximum of 2 MMI actions should be allowed
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
International standardisation of numbering plans is needed to ensure interworking between networks
### Assistant:
VARIABLE: interworking between networks
CONDITION: to ensure
CAUSE_1: to ensure interworking between networks
EFFECT_1: International standardisation of numbering plans is needed
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For certain functions, standardised telephone numbers shall be implemented
### Assistant:
KEYWORD: For
VARIABLE: standardised telephone numbers
CONDITION: shall be implemented
CAUSE_1: certain functions
EFFECT_1: standardised telephone numbers shall be implemented
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
To provide interoperability between the fixed railway networks within the EIRENE network, standardisation of UIC group numbering will be required
### Assistant:
CONDITION: will be required
VARIABLE: the EIRENE network
EFFECT_1: To provide interoperability between the fixed railway networks
CAUSE_2: standardisation of UIC group numbering will be required
KEYWORD: within
CAUSE_1: the EIRENE network
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
During this recovery period, the system shall not permit the use of unverified functional numbers
### Assistant:
KEYWORD: During
VARIABLE: the system
NEGATION: shall not
CONDITION: permit the use of unverified functional numbers
CAUSE_1: this recovery period
EFFECT_1: the system shall not permit the use of unverified functional numbers
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If the mobile is in shunting mode, the emergency call button shall initiate a shunting emergency call, otherwise the call shall be a Train emergency call
### Assistant:
KEYWORD: If
VARIABLE: the call
CONDITION: shall be a Train emergency call
CAUSE_1: the mobile is in shunting mode
EFFECT_1: the emergency call button shall initiate a shunting emergency call
NEGATION: otherwise
EFFECT_2: the call shall be a Train emergency call
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For this reason, we decided keeping them in a dedicate server to improve the platform performance
### Assistant:
NOT_RELEVANT: we decided
CONDITION: in a dedicate server
VARIABLE: them
EFFECT_1: to improve the platform performance
CAUSE_1: keeping them in a dedicate server
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
We also would like to develop a mobile application for the more common mobile systems (Android and iOS), in order to get a better response from the user
### Assistant:
NOT_RELEVANT: We also would like
KEYWORD: in order
CONDITION: to develop
VARIABLE: a mobile application for the more common mobile systems
EFFECT_1: to get a better response from the user
CAUSE_1: to develop a mobile application for the more common mobile systems
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
One of the most important objectives is to keep all content in the platform hidden for public users, because we are working, in some cases, with underage people
### Assistant:
KEYWORD: because
VARIABLE: all content in the platform
CONDITION: with underage people
CAUSE_1: with underage people
NOT_RELEVANT: in some cases
EFFECT_1: to keep all content in the platform hidden for public users
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For improving the usability, we have planned to design custom styles for each age group, because of teenagers do not want to use a childish platform
### Assistant:
KEYWORD: because of
CONDITION: want to use a childish platform
VARIABLE: teenagers
EFFECT_1: improving the usability
CAUSE_1: to design custom styles
CAUSE_2: age group
NOT_RELEVANT: we have planned
NEGATION: do not
CAUSE_3: teenagers do not want to use a childish platform
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
We have also kept in mind that if a user likes our platform, she would like to share it with her friends, for this reason, we will develop an easy tool for social sharing
### Assistant:
KEYWORD: for this reason
NOT_RELEVANT: We have also kept in mind that
VARIABLE: we
CONDITION: will develop an easy tool for social sharing
CAUSE_1: a user likes our platform
EFFECT_1: she would like to share it with her friends
EFFECT_2: we will develop an easy tool for social sharing
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
These documents are a relevant part in the WYRED project, so we have planned to develop tools for showing and sharing them
### Assistant:
VARIABLE: sharing them
CONDITION: to develop
CAUSE_1: These documents are a relevant part in the WYRED project
KEYWORD: so we have planned
AND: and
EFFECT_1: to develop tools for showing
EFFECT_2: sharing them
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The researchers are also an important part of the WYRED project, for this reason, they are going to have a private zone
### Assistant:
KEYWORD: for this reason
VARIABLE: they
CONDITION: are also an important part of the WYRED project
CAUSE_1: The researchers are also an important part of the WYRED project
EFFECT_1: they are going to have a private zone
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In this zone, they will be able to monitor their own social dialogues, share information between the project researchers and analyze their data
### Assistant:
KEYWORD: In
VARIABLE: they
CAUSE_1: this
CONDITION: analyze their data
AND: and
EFFECT_1: they will be able to monitor their own social dialogues
EFFECT_2: share information between the project researchers
EFFECT_3: analyze their data
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In order to improve the data analysis process, we are going to develop visualization tools and a pattern matching system
### Assistant:
KEYWORD: we are going
CONDITION: to develop
VARIABLE: a pattern matching system
EFFECT_1: to improve the data analysis process
AND: and
CAUSE_1: to develop visualization tools
CAUSE_2: a pattern matching system
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The pattern matching system will use techniques such as datamining or natural language processing, in order to give to the researchers some patterns about the stored data
### Assistant:
KEYWORD: in order
CONDITION: natural language processing
VARIABLE: The pattern matching system
EFFECT_1: to give to the researchers some patterns about the stored data
CAUSE_1: The pattern matching system will use techniques such as datamining
OR: or
CAUSE_2: natural language processing
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The system shall use an automatic translation system such as Google translator in order to allow the communication between people who speaks different languages
### Assistant:
KEYWORD: in order
CONDITION: shall use an automatic translation system
VARIABLE: The system
EFFECT_1: to allow the communication between people who speaks different languages
NOT_RELEVANT: such as Google translator
CAUSE_1: The system shall use an automatic translation system
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The system shall have a system that allows annotation in video and audio files
### Assistant:
KEYWORD: that allows
CONDITION: shall have a system
VARIABLE: The system
AND: and
EFFECT_1: annotation in video
EFFECT_2: audio files
CAUSE_1: The system shall have a system
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The system shall have monitoring tools in the researcher zone in order to see the social dialogue evolution
### Assistant:
KEYWORD: in
CONDITION: shall have monitoring tools
VARIABLE: the researcher zone
EFFECT_1: to see the social dialogue evolution
CAUSE_1: The system shall have monitoring tools
CAUSE_2: the researcher zone
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The planning will be updated following the assessment phase and the Contractor shall provide its own bottom-up development schedule
### Assistant:
KEYWORD: following
CONDITION: shall provide its own bottom-up development schedule
CAUSE_1: the assessment phase
VARIABLE: the Contractor
EFFECT_1: The planning will be updated
AND: and
EFFECT_2: the Contractor shall provide its own bottom-up development schedule
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
It will be reviewed as part of the assessment phase and will be updated following the Preliminary Requirement Review at the end of 2013
### Assistant:
KEYWORD: at
CONDITION: will be updated
CAUSE_1: the Preliminary Requirement Review
VARIABLE: It
CAUSE_2: the end of 2013
AND: and
EFFECT_1: It will be reviewed as part of the assessment phase
EFFECT_2: will be updated
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Any conflict between requirements in this document shall be reported to ESA and any modification requires his/her prior approval
### Assistant:
CONDITION: shall be reported to ESA
CAUSE_1: conflict between requirements in this document
AND: and
EFFECT_1: shall be reported to ESA
KEYWORD: any
CAUSE_2: modification
VARIABLE: modification
EFFECT_2: his/her prior approval
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
They are highlighted in italic in order to be easily identified
### Assistant:
KEYWORD: in order
CONDITION: are highlighted in italic
VARIABLE: They
CAUSE_1: They are highlighted in italic
EFFECT_1: to be easily identified
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Therefore the spacecraft performs a soft touchdown of the surface for a few seconds (in the order of 2-5 seconds) and then takes-off immediately after that to move into a safe position away from the surface
### Assistant:
KEYWORD: then
VARIABLE: the spacecraft
CONDITION: takes-off immediately after that to move into a safe position away from the surface
NOT_RELEVANT: (in the order of 2-5 seconds)
AND: and
CAUSE_1: the spacecraft performs a soft touchdown of the surface for a few seconds
EFFECT_1: takes-off immediately after that to move into a safe position away from the surface
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If it is confirmed, via a reliable verification technique, that a scientifically meaningful sample has been collected, the sample is transferred to the re-entry capsule and sealed
### Assistant:
KEYWORD: that
VARIABLE: the sample
CONDITION: sealed
NOT_RELEVANT: via a reliable verification technique
CAUSE_1: it is confirmed
CAUSE_2: a scientifically meaningful sample has been collected
AND: and
EFFECT_1: the sample is transferred to the re-entry capsule
EFFECT_2: sealed
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If the sampling operation was not successful, the spacecraft can undertake 2 more attempts (3 attempts in total)
### Assistant:
KEYWORD: If
VARIABLE: the spacecraft
NEGATION: was not
CONDITION: can undertake 2 more attempts
CAUSE_1: the sampling operation was not successful
NOT_RELEVANT: (3 attempts in total)
EFFECT_1: the spacecraft can undertake 2 more attempts
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Any conflict between the requirements in this document and the ECSS standards shall be reported to ESA
### Assistant:
KEYWORD: Any
VARIABLE: conflict
CONDITION: shall be reported to ESA
CAUSE_1: conflict between the requirements in this document and the ECSS standards
EFFECT_1: shall be reported to ESA
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Before peak of dynamic pressure, angle of attack variations are less critical
### Assistant:
NEGATION: Before
CONDITION: are less critical
VARIABLE: angle of attack variations
CAUSE_1: peak of dynamic pressure
EFFECT_1: angle of attack variations are less critical
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spacecraft design and operations shall transmit back to Earth a minimum total payload data volume of 122.35 GBit (TBC) before the end of the asteroid proximity operations
### Assistant:
NEGATION: before
CONDITION: shall transmit back to Earth a minimum total payload data volume of 122.35 GBit
VARIABLE: operations
CAUSE_1: the end of the asteroid proximity operations
NOT_RELEVANT: (TBC)
EFFECT_1: The spacecraft design
AND: and
EFFECT_2: operations shall transmit back to Earth a minimum total payload data volume of 122.35 GBit
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spacecraft structure shall support the mechanical static and dynamic loads encountered during its entire lifetime, including: manufacturing, handling, transportation, testing, launch and in-orbit operations (incl
### Assistant:
KEYWORD: during
VARIABLE: The spacecraft structure
CAUSE_1: its entire lifetime
NOT_RELEVANT: including: manufacturing, handling, transportation, testing, launch and in-orbit operations (incl
CONDITION: dynamic loads encountered
AND: and
EFFECT_1: The spacecraft structure shall support the mechanical static
EFFECT_2: dynamic loads encountered
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
R-AUT-030 During asteroid proximity operations, if a ground TC is expected for the S/C to proceed with its nominal manoeuvre and this TC is not received within a TBD time, the S/C shall be able to perform a valid transition into an asteroid Collision Avoidance Mode
### Assistant:
KEYWORD: if
AND: and
NOT_RELEVANT: R-AUT-030
VARIABLE: the S/C
CONDITION: shall be able to perform a valid transition into an asteroid Collision Avoidance Mode
CAUSE_1: asteroid proximity operations
CAUSE_2: a ground TC is expected for the S/C to proceed with its nominal manoeuvre
NEGATION: is not
CAUSE_3: this TC is not received within a TBD time
EFFECT_1: the S/C shall be able to perform a valid transition into an asteroid Collision Avoidance Mode
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
R-GRS-080 It shall be possible to track the ERC re-entry during the whole re-entry operation
### Assistant:
KEYWORD: during
VARIABLE: It
CAUSE_1: the whole re-entry operation
CONDITION: shall be possible to track the ERC re-entry
NOT_RELEVANT: R-GRS-080
EFFECT_1: It shall be possible to track the ERC re-entry
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The ground segment shall provide for a flexible re-planning capability during the asteroid phase
### Assistant:
KEYWORD: during
VARIABLE: The ground segment
CAUSE_1: the asteroid phase
CONDITION: shall provide for a flexible re-planning capability
EFFECT_1: The ground segment shall provide for a flexible re-planning capability
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The manoeuvre planning for new asteroid proximity orbits and new sampling site targets shall be available within 4 days (TBC) after reception of the respective request
### Assistant:
NEGATION: after
CONDITION: shall be available within 4 days
VARIABLE: new sampling site targets
CAUSE_1: reception of the respective request
AND: and
NOT_RELEVANT: (TBC)
EFFECT_1: The manoeuvre planning for new asteroid proximity orbits
EFFECT_2: new sampling site targets shall be available within 4 days
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The ground segment shall construct a global asteroid map and a global Digital Elevation Model with a 1-m spatial resolution (TBC) of the whole asteroid during the GCP phase primarily based on the navigation sensor information
### Assistant:
KEYWORD: during
VARIABLE: The ground segment
CONDITION: primarily based on the navigation sensor information
AND: and
NOT_RELEVANT: (TBC)
EFFECT_1: The ground segment shall construct a global asteroid map
EFFECT_2: of the whole asteroid
CAUSE_1: the GCP phase
EFFECT_3: primarily based on the navigation sensor information
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The ground segment shall construct a local map and a local Digital Elevation Model with a 20-cm spatial resolution (TBC) of the sampling site candidates during the LCP phase primarily based on the navigation sensor information
### Assistant:
VARIABLE: the LCP phase
AND: and
KEYWORD: during
CONDITION: primarily based on the navigation sensor information
NOT_RELEVANT: (TBC)
EFFECT_1: The ground segment shall construct a local map
EFFECT_2: of the sampling site candidates
EFFECT_3: primarily based on the navigation sensor information
CAUSE_1: the LCP phase
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Radio-science orbit: In the context of MarcoPolo-R, a Radio-science orbit is an asteroid-bound orbit, favourable to radio science measurements, where the S/C does not require any orbit and attitude manoeuvres in order to remain above 3 km distance to the surface at any time, during four consecutive communication windows of 8 hours
### Assistant:
KEYWORD: In the context of
CONDITION: favourable to radio science measurements
VARIABLE: four consecutive communication windows
NEGATION: does not
AND: and
CAUSE_1: MarcoPolo-R
EFFECT_3: to remain above 3 km distance to the surface at any time
CAUSE_3: four consecutive communication windows of 8 hours.
EFFECT_1: a Radio-science orbit is an asteroid-bound orbit
EFFECT_2: favourable to radio science measurements
CAUSE_2: attitude manoeuvres
NOT_RELEVANT: Radio-science orbit
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The minimum scientific success criteria for the mission are reached if the two core science objectives (TOP1 and TOP2) are achieved
### Assistant:
KEYWORD: if
VARIABLE: The minimum scientific success criteria for the mission
CONDITION: are reached
NOT_RELEVANT: (TOP1 and TOP2)
EFFECT_1: The minimum scientific success criteria for the mission are reached
CAUSE_1: are achieved
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
After applying all known calibration factors, the linearity and offset of the energy scale applying to a measured spectrum shall allow a photon energy to be determined to within a small fraction
### Assistant:
NEGATION: After
CONDITION: to be determined to within a small fraction
VARIABLE: a photon energy
AND: and
CAUSE_1: applying all known calibration factors
EFFECT_1: the linearity
EFFECT_2: offset of the energy scale
KEYWORD: shall allow
EFFECT_3: a photon energy to be determined to within a small fraction.
CAUSE_2: applying to a measured spectrum
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Unstable response leads to apparent noise in constant flux sources and also to QPO broadening or sidebands
### Assistant:
CONDITION: to apparent
VARIABLE: QPO broadening
KEYWORD: leads
AND: and also to
OR: or
CAUSE_1: Unstable response
EFFECT_1: to apparent noise in constant flux sources
EFFECT_2: QPO broadening
EFFECT_3: sidebands
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
For pulsars, knowing the detection time with an accuracy of 2 microsecond allows comparison with other wavebands (e.g. radio)
### Assistant:
KEYWORD: allows
VARIABLE: comparison with other wavebands
CONDITION: with an accuracy of 2 microsecond
NOT_RELEVANT: (e.g. radio).
CAUSE_1: pulsars
CAUSE_2: knowing the detection time with an accuracy of 2 microsecond
EFFECT_1: comparison with other wavebands
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Bright transient sources can be stored on-board and the full information can be transferred during subsequent ground contacts
### Assistant:
KEYWORD: during
CONDITION: can be stored on-board
VARIABLE: the full information
CAUSE_1: subsequent ground contacts
AND: and
EFFECT_1: Bright transient sources can be stored on-board
EFFECT_2: the full information can be transferred
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Sensitivity (5 σ detection) over 50 ks must be < 5 mCrab over energy range of 2 - 50 keV for a field where there is no source confusion (outside the Galactic Centre)
### Assistant:
KEYWORD: for
NEGATION: is no
CONDITION: must be < 5 mCrab over energy range of 2 - 50 keV
CAUSE_2: a field
NOT_RELEVANT: (5 σ detection)
VARIABLE: a field
CAUSE_1: over 50 ks
EFFECT_1: must be < 5 mCrab over energy range of 2 - 50 keV
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the LAD data rate is <80%, the WFM should be able to use up the available bandwidth
### Assistant:
KEYWORD: If
VARIABLE: the WFM
CONDITION: should be able to use up the available bandwidth
CAUSE_1: the LAD data rate is <80%
EFFECT_1: the WFM should be able to use up the available bandwidth
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Energy range and telemetry bandwidth should allow at least 8 spectral bands for the detection of spectral state changes in transient sources and be sensitive to thermal (e.g. disk) spectral components
### Assistant:
KEYWORD: for
VARIABLE: telemetry bandwidth
CONDITION: spectral components
AND: and
NOT_RELEVANT: (e.g. disk)
CAUSE_1: the detection of spectral state changes in transient sources
EFFECT_1: Energy range
EFFECT_2: telemetry bandwidth should allow at least 8 spectral bands
EFFECT_3: spectral components
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The transients may be detected both in triggered data and in normal data if the transient rise time is >100s or a spectral state change has occurred
### Assistant:
KEYWORD: if
VARIABLE: The transients
CONDITION: in normal data
OR: or
CAUSE_1: the transient rise time is >100s
CAUSE_2: a spectral state change has occurred
AND: and
EFFECT_1: The transients may be detected both in triggered data
EFFECT_2: in normal data
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
After a trigger into burst mode, the WFM will attempt to localise the source on the sky and determine the time of trigger
### Assistant:
NEGATION: After
CAUSE_1: a trigger into burst mode
VARIABLE: a trigger
CONDITION: into burst mode
AND: and
EFFECT_1: the WFM will attempt to localise the source on the sky
EFFECT_2: determine the time of trigger
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Justification: If broadcasted, a set of ground receivers can see the trigger times and positions for follow up measurements
### Assistant:
KEYWORD: If
NOT_RELEVANT: Justification
CONDITION: follow up
CAUSE_1: broadcasted
VARIABLE: measurements
AND: and
EFFECT_1: a set of ground receivers can see the trigger times
EFFECT_2: positions
CAUSE_2: follow up measurements
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Otherwise (50% sky visibility) the observation time when the bulge is visible to LOFT is used for a significant fraction by observing the core-science targets
### Assistant:
KEYWORD: when
VARIABLE: the observation time
CONDITION: is used for a significant fraction by observing the core-science targets
CAUSE_1: the bulge is visible to LOFT
NOT_RELEVANT: (50% sky visibility)
EFFECT_1: is used for a significant fraction by observing the core-science targets
NEGATION: Otherwise
### END
|