wanyu/IteraTeR_v2 huggingface dataset:
Original:  The core of essential genes is close to the minimal bacterial genome, which is in the focus of recent studies in synthetic biology, though we confirm that othologues of genes that are essential in one species are not necessarily essential in other species.
Revised:  The core of essential genes is close to the minimal bacterial genome, which is in the focus of recent studies in synthetic biology, though we confirm that orthologs of genes that are essential in one species are not necessarily essential in other species.
Edit intent: fluency
Original:  Numerical results show that BBP has a good capability of ` structure and coefficient optimization ' and a better computational efficiency.
Revised:  Numerical results show that BBP has a good capability of structure and coefficient optimization ' and a better computational efficiency.
Edit intent: fluency
Original:  Numerical results show that BBP has a good capability of ` structure and coefficient optimization ' and a better computational efficiency.
Revised:  Numerical results show that BBP has a good capability of ` structure and coefficient optimization and a better computational efficiency.
Edit intent: fluency
Original: Symbolic regression that aims to detect underlying data-driven model , has become increasingly important for industrial data analysis when the experimental model structure is unknown or wrong, or the concerned system has changed .
Revised: Symbolic regression that aims to detect underlying data-driven model has become increasingly important for industrial data analysis when the experimental model structure is unknown or wrong, or the concerned system has changed .
Edit intent: fluency
Original: Symbolic regression that aims to detect underlying data-driven model , has become increasingly important for industrial data analysis when the experimental model structure is unknown or wrong, or the concerned system has changed .
Revised: Symbolic regression that aims to detect underlying data-driven model , has become increasingly important for industrial data analysis .
Edit intent: coherence
Original:  For most of the existing algorithmsfor symbolic regression , such as genetic programming  , the convergence speed might be too slow for large scale problems with a large number of variables.
Revised:  For most of existing algorithms , such as genetic programming , the convergence speed might be too slow for large scale problems with a large number of variables.
Edit intent: clarity
Original:  The aforementioned difficulty make symbolic regression limited in practical applications.
Revised:  The aforementioned difficulty makes symbolic regression limited in practical applications.
Edit intent: fluency
Original:  The partition of separability is based on a designed method, block and factor detection.
Revised:  The partition of separability is based on a special method, block and factor detection.
Edit intent: clarity
Original:  Using two different optimization engines , experiments on a set of symbolic regression problems with separability are conducted .
Revised:  Two different optimization engines , experiments on a set of symbolic regression problems with separability are conducted .
Edit intent: coherence
Original:  Using two different optimization engines , experiments on a set of symbolic regression problems with separability are conducted .
Revised:  Using two different optimization engines , experiments on a set of symbolic regression problems .
Edit intent: clarity
Original:  Numerical results show that BBP has a good capability of  structure and coefficient optimization and a better computational efficiency.
Revised:  Numerical results show that BBP has a good capability of ` structure and coefficient optimization and a better computational efficiency.
Edit intent: fluency
Original: Symbolic regression that aims to detect underlying data-driven model has become increasingly important for industrial data analysis.
Revised: Symbolic regression that aims to detect underlying data-driven models has become increasingly important for industrial data analysis.
Edit intent: fluency
Original:  For most of existing algorithms , such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large number of variables.
Revised:  For most existing algorithms such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large number of variables.
Edit intent: fluency
Original:  For most of existing algorithms , such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large number of variables.
Revised:  For most of existing algorithms , such as genetic programming (GP), the convergence speed might be too slow for large-scale problems with a large number of variables.
Edit intent: fluency
Original:  This feature inspires us to develop a new approach, block building programming (BBP) , in this paper . BBP divides the original target function into several blocks, and further into factors.
Revised:  This feature inspires us to develop a new approach, block building programming (BBP) . BBP divides the original target function into several blocks, and further into factors.
Edit intent: coherence
Original:  The factors are then optimized by an optimization engine (e.g. , GP).
Revised:  The factors are then modeled by an optimization engine (e.g. , GP).
Edit intent: clarity
Original:  The factors are then optimized by an optimization engine (e.g. , GP).
Revised:  The factors are then optimized by an optimization engine (e.g. GP).
Edit intent: fluency
Original:  Under such circumstance , BBP can make large reductions to the search space.
Revised:  Under such circumstances , BBP can make large reductions to the search space.
Edit intent: fluency
Original:  Numerical results show that BBP has a good capability of ` structure and coefficient optimization ' with high computational efficiency.
Revised:  Numerical results show that BBP has a good capability of structure and coefficient optimization ' with high computational efficiency.
Edit intent: fluency
Original:  Numerical results show that BBP has a good capability of ` structure and coefficient optimization ' with high computational efficiency.
Revised:  Numerical results show that BBP has a good capability of ` structure and coefficient optimization with high computational efficiency.
Edit intent: fluency
Original: We propose a new algorithm for training generative adversarial networks to jointly learn latent codes for both identities (e.g. individual humans) and observations (e.g. specific photographs).
Revised: We propose a new algorithm for training generative adversarial networks that jointly learns latent codes for both identities (e.g. individual humans) and observations (e.g. specific photographs).
Edit intent: fluency
Original:  In practice, this means that by fixing the identity portion of  latent codes, we can generate diverse images of the same subject, and by fixing the observation portion  we can traverse the manifold of subjects while maintaining contingent aspects such as lighting and pose.
Revised:  By fixing the identity portion of latent codes, we can generate diverse images of the same subject, and by fixing the observation portion we can traverse the manifold of subjects while maintaining contingent aspects such as lighting and pose.
Edit intent: coherence
Original:  In practice, this means that by fixing the identity portion of  latent codes, we can generate diverse images of the same subject, and by fixing the observation portion  we can traverse the manifold of subjects while maintaining contingent aspects such as lighting and pose.
Revised:  In practice, this means that by fixing the identity portion of the latent codes, we can generate diverse images of the same subject, and by fixing the observation portion we can traverse the manifold of subjects while maintaining contingent aspects such as lighting and pose.
Edit intent: fluency
Original:  In practice, this means that by fixing the identity portion of  latent codes, we can generate diverse images of the same subject, and by fixing the observation portion  we can traverse the manifold of subjects while maintaining contingent aspects such as lighting and pose.
Revised:  In practice, this means that by fixing the identity portion of latent codes, we can generate diverse images of the same subject, and by fixing the observation portion , we can traverse the manifold of subjects while maintaining contingent aspects such as lighting and pose.
Edit intent: fluency
Original:  In order to fool the discriminator, the generator must produce images that are both photorealistic, distinct, and appear to depict the same person .
Revised:  In order to fool the discriminator, the generator must produce pairs that are photorealistic, distinct, and appear to depict the same person .
Edit intent: clarity
Original:  In order to fool the discriminator, the generator must produce images that are both photorealistic, distinct, and appear to depict the same person .
Revised:  In order to fool the discriminator, the generator must produce images that are both photorealistic, distinct, and appear to depict the same individual .
Edit intent: clarity
Original:  We augment both the DCGAN and BEGAN approaches with Siamese discriminators to accommodate pairwise training.
Revised:  We augment both the DCGAN and BEGAN approaches with Siamese discriminators to facilitate pairwise training.
Edit intent: clarity
Original: Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites  and mobile applications.
Revised: Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites , and mobile applications.
Edit intent: fluency
Original:  In this paper, we show that Deep Learning techniques can be leveraged to automatically generate code given a graphical user interface screenshot as input.
Revised:  In this paper, we show that deep learning methods can be leveraged to automatically generate code given a graphical user interface screenshot as input.
Edit intent: clarity
Original:  Our model is able to generate code targeting three different platforms (i.e. iOS, Android and web-based technologies) from a single input image with over 77\% of accuracy .
Revised:  Our model is able to generate code targeting three different platforms (i.e. iOS, Android and web-based technologies) .
Edit intent: clarity
Original:  Our modelis as follows: A disease spreads over a network via contagion and random infection, where uninfected nodes contract the disease at a time corresponding to an independent exponential random variable and infected nodes transmit the disease to uninfected neighbors according to independent exponential random variables with an unknown rate parameter .
Revised:  In our model, a disease spreads over a network via contagion and random infection, where uninfected nodes contract the disease at a time corresponding to an independent exponential random variable and infected nodes transmit the disease to uninfected neighbors according to independent exponential random variables with an unknown rate parameter .
Edit intent: clarity
Original:  Our modelis as follows: A disease spreads over a network via contagion and random infection, where uninfected nodes contract the disease at a time corresponding to an independent exponential random variable and infected nodes transmit the disease to uninfected neighbors according to independent exponential random variables with an unknown rate parameter .
Revised:  Our modelis as follows: A disease spreads over a network via contagion or random infection, where uninfected nodes contract the disease at a time corresponding to an independent exponential random variable and infected nodes transmit the disease to uninfected neighbors according to independent exponential random variables with an unknown rate parameter .
Edit intent: fluency
Original:  Our modelis as follows: A disease spreads over a network via contagion and random infection, where uninfected nodes contract the disease at a time corresponding to an independent exponential random variable and infected nodes transmit the disease to uninfected neighbors according to independent exponential random variables with an unknown rate parameter .
Revised:  Our modelis as follows: A disease spreads over a network via contagion and random infection, where the random variables governing the rates of contracting the disease from neighbors or random infection are independent exponential random variables with an unknown rate parameter .
Edit intent: clarity
Original:  Our modelis as follows: A disease spreads over a network via contagion and random infection, where uninfected nodes contract the disease at a time corresponding to an independent exponential random variable and infected nodes transmit the disease to uninfected neighbors according to independent exponential random variables with an unknown rate parameter .
Revised:  Our modelis as follows: A disease spreads over a network via contagion and random infection, where uninfected nodes contract the disease at a time corresponding to an independent exponential random variable and infected nodes transmit the disease to uninfected neighbors according to independent exponential random variables with unknown rate parameters .
Edit intent: fluency
Original:  A subset of nodes is also censored , meaning the infection statuses of the nodes are unobserved . Given the statuses of all nodes in the network, the goal is to determine the underlying graph.
Revised:  A subset of nodes is also censored uniformly at random . Given the statuses of all nodes in the network, the goal is to determine the underlying graph.
Edit intent: clarity
Original:  A subset of nodes is also censored , meaning the infection statuses of the nodes are unobserved . Given the statuses of all nodes in the network, the goal is to determine the underlying graph.
Revised:  A subset of nodes is also censored , meaning the infection statuses of the nodes are unobserved . Given the statuses of nodes in the network, the goal is to determine the underlying graph.
Edit intent: clarity
Original:  Our procedure consists of a permutation test , and we derive a condition in terms of automorphism groups of the graphs corresponding to the null and alternative hypotheses that ensures the validity of our test.
Revised:  We present a procedure based on permutation testing , and we derive a condition in terms of automorphism groups of the graphs corresponding to the null and alternative hypotheses that ensures the validity of our test.
Edit intent: clarity
Original:  Our procedure consists of a permutation test , and we derive a condition in terms of automorphism groups of the graphs corresponding to the null and alternative hypotheses that ensures the validity of our test.
Revised:  Our procedure consists of a permutation test , and we derive sufficient conditions for the validity of our test in terms of automorphism groups of the graphs corresponding to the null and alternative hypotheses that ensures the validity of our test.
Edit intent: clarity
Original:  To further reduce the complexity, we propose a greedy policy with complexity O(N\log N) that not only achieves at least 2/3 of the optimal throughput region  but also outperforms any feasible Half-duplex solutions.
Revised:  To further reduce the complexity, we propose a greedy policy with complexity O(N\log N) that not only achieves at least 2/3 of the optimal throughput region , but also outperforms any feasible Half-duplex solutions.
Edit intent: fluency
Original:  We derive the Full-duplex gain of our model for different system parameters , and show that our algorithms achieve superb performance using numerical studies.
Revised:  We derive the throughput gain offered by Full-duplex under different system parameters , and show that our algorithms achieve superb performance using numerical studies.
Edit intent: clarity
Original:  We derive the Full-duplex gain of our model for different system parameters , and show that our algorithms achieve superb performance using numerical studies.
Revised:  We derive the Full-duplex gain of our model for different system parameters and show the advantage of our algorithms through numerical studies.
Edit intent: clarity
Original:  The  efficiency and robustness of the network are guaranteed by maintaining a tight excitatory/inhibitory balance, ensuring that each spike represents a local projection of the global output error and minimizes a loss function.
Revised:  The spiking efficiency and robustness of the network are guaranteed by maintaining a tight excitatory/inhibitory balance, ensuring that each spike represents a local projection of the global output error and minimizes a loss function.
Edit intent: clarity
Original: User-side performance in millimeter-wave (mmWave) cellular systems is known to be severely affected by  blockage of the line-of-sight (LoS) propagation path.
Revised: Millimeter-wave (mmWave) cellular systems is known to be severely affected by blockage of the line-of-sight (LoS) propagation path.
Edit intent: clarity
Original: User-side performance in millimeter-wave (mmWave) cellular systems is known to be severely affected by  blockage of the line-of-sight (LoS) propagation path.
Revised: User-side performance in millimeter-wave (mmWave) propagation is known to be severely affected by blockage of the line-of-sight (LoS) propagation path.
Edit intent: clarity
Original: User-side performance in millimeter-wave (mmWave) cellular systems is known to be severely affected by  blockage of the line-of-sight (LoS) propagation path.
Revised: User-side performance in millimeter-wave (mmWave) cellular systems is known to be severely affected by the blockage of the line-of-sight (LoS) propagation path.
Edit intent: fluency
Original: User-side performance in millimeter-wave (mmWave) cellular systems is known to be severely affected by  blockage of the line-of-sight (LoS) propagation path.
Revised: User-side performance in millimeter-wave (mmWave) cellular systems is known to be severely affected by blockage of the line-of-sight (LoS) path.
Edit intent: clarity
Original:  In contrast to microwave systems, at shorter mmWave wavelengths such blockage can be caused by human bodies while their mobility within the environment makes the wireless channel alternate between the blocked and non-blocked LoS states.
Revised:  In contrast to microwave systems, at shorter mmWave wavelengths such blockage can be caused by human bodies , where their mobility within the environment makes the wireless channel alternate between the blocked and non-blocked LoS states.
Edit intent: coherence
Original:  In contrast to microwave systems, at shorter mmWave wavelengths such blockage can be caused by human bodies while their mobility within the environment makes the wireless channel alternate between the blocked and non-blocked LoS states.
Revised:  In contrast to microwave systems, at shorter mmWave wavelengths such blockage can be caused by human bodies while their mobility within environment makes wireless channel alternate between the blocked and non-blocked LoS states.
Edit intent: fluency
Original:  Following  recent 3GPP requirements on  the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios  : urban micro cell (UMi) street canyon and park/stadium/square.
Revised:  Following the recent 3GPP requirements on the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios : urban micro cell (UMi) street canyon and park/stadium/square.
Edit intent: fluency
Original:  Following  recent 3GPP requirements on  the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios  : urban micro cell (UMi) street canyon and park/stadium/square.
Revised:  Following recent 3GPP requirements on modeling the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios : urban micro cell (UMi) street canyon and park/stadium/square.
Edit intent: clarity
Original:  Following  recent 3GPP requirements on  the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios  : urban micro cell (UMi) street canyon and park/stadium/square.
Revised:  Following recent 3GPP requirements on the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios : urban micro cell (UMi) street canyon and park/stadium/square.
Edit intent: coherence
Original:  Following  recent 3GPP requirements on  the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios  : urban micro cell (UMi) street canyon and park/stadium/square.
Revised:  Following recent 3GPP requirements on the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios : urban micro cell (UMi) street canyon and park/stadium/square.
Edit intent: coherence
Original:  Following  recent 3GPP requirements on  the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios  : urban micro cell (UMi) street canyon and park/stadium/square.
Revised:  Following recent 3GPP requirements on the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in the presence of mobile blockers for two representative 3GPP scenarios : urban micro cell (UMi) street canyon and park/stadium/square.
Edit intent: clarity
Original:  Following  recent 3GPP requirements on  the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for two representative 3GPP scenarios  : urban micro cell (UMi) street canyon and park/stadium/square.
Revised:  Following recent 3GPP requirements on the dynamic blockage as well as the temporal consistency of the channel at mmWave frequencies, we in this paper develop a new model for predicting the state of a user in a field of mobile blockers for representative 3GPP scenarios : urban micro cell (UMi) street canyon and park/stadium/square.
Edit intent: clarity