Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: IT Project Administration Tools on Creation of Information and Training Platforms
Abstract: the article discusses the tools for the administration of IT projects on the creation of information and training platforms. The technological component and the problem management component in the methodology of project-vector management of IT projects on the creation of educational platforms are considered. These components are considered from the standpoint of linking, existing methods and means in proj ect management to the specifics of managing educational environments. The administration tools that are best suited for IT projects of educational platforms in the context of: low performance discipline of project subjects; insufficient motivation of the project subjects; low awareness of the processes in the projects, are given. The proposed administrative tools are aimed at administrative impact on the subjects of projects in the case of deviation of the trajectory from the planned one. A model is proposed for constructing an administration vector that determines the direction of additional impact on the objects and subjects of IT projects. The construction of this vector is carried out based on two non-coincident directions of motion - planned and actual. The following subsystems of the methodology of project-vector management of educational environments are identified: provision of human resources; provision of material resources; financial support; information support; scientific and methodological support. Their characteristics are given. It is shown that technical problems in proj ects in the interpretation of the methodology of project vector management are obstacles to motion in the right direction created by random events, uncertainties, and changes. A mathematical model of the change in the magnitude of resistance in IT projects on the creation of educational platforms caused by technical problems has been developed, and methods of countering these problems have been proposed.
Keywords: IT-projects;educational platforms;administration tools;methodology of project-vector management
Title: Building a Credit Scoring Model Based on the Type of Target Variable
Abstract: With the rapid development of big data and internet technology, big data financial platform companies collect and organize massive data through their own platforms, improve credit scoring parameters, and use machine learning methods to conduct comprehensive and scientific credit scoring assessments. Thus, banks in the construction of credit scoring face big problems. Based on the limitations of the existing system and methods of personal credit score, it is necessary to study personal credit score based on machine learning methods, improve the parameters and scoring system of personal credit score, clarify data collection channels, and use dynamic desensitization technology to desensitize data, LOF test method to test outliers' data and a random forest method to complete missing data values. You then use the gradient boosting decision tree method to view the important indicators, process the tested indicators with a scorecard model based on logistic regression, and derive a personal credit score. Finally, the model is tested with a BP neural network and the model is used to predict the level of personal credit. The study shows that machine learning can further improve the accuracy of individuals' credit ratings and provide the scientific basis and reference for credit ratings of commercial banks.
Keywords: big data;credit scoring;logistic regression;machine learning;data desensitization;decision tree;BP neural network
Review score: Moderate
Review comment: The work was performed according to the standard
Title: Building a Credit Scoring Model Based on the Type of Target Variable
Abstract: With the rapid development of big data and internet technology, big data financial platform companies collect and organize massive data through their own platforms, improve credit scoring parameters, and use machine learning methods to conduct comprehensive and scientific credit scoring assessments. Thus, banks in the construction of credit scoring face big problems. Based on the limitations of the existing system and methods of personal credit score, it is necessary to study personal credit score based on machine learning methods, improve the parameters and scoring system of personal credit score, clarify data collection channels, and use dynamic desensitization technology to desensitize data, LOF test method to test outliers' data and a random forest method to complete missing data values. You then use the gradient boosting decision tree method to view the important indicators, process the tested indicators with a scorecard model based on logistic regression, and derive a personal credit score. Finally, the model is tested with a BP neural network and the model is used to predict the level of personal credit. The study shows that machine learning can further improve the accuracy of individuals' credit ratings and provide the scientific basis and reference for credit ratings of commercial banks.
Keywords: big data;credit scoring;logistic regression;machine learning;data desensitization;decision tree;BP neural network
Review score: Moderate
Review comment: Everything is done according to the standards
Title: Formalized Management of Changes at the Enterprise by Means of Fuzzy Logic
Abstract: The article presents a significantly updated approach to change management at enterprises. A rational methodological and analytical apparatus for implementing changes and the enterprise, which integrates a system of updated indicators, is proposed. Formalization of the change implementation project at the enterprise and steps to overcome resistance to changes is provided through the use of Matlab Toolbox Fuzzy logic. Determining formalized indicators of the implementation of changes at the enterprise are defined as “transformational capacity of the enterprise” and “expected as a result of the implementation of changes, the initial value of the enterprise's property”.
Keywords: change management;transformational capacity of enterprises;digital economy;construction enterprises;management of changing enterprises;national standardization systems;world economy;institutional environment;fuzzy logic
Review score: Moderate
Review comment: It is necessary to improve the design of the article.
Title: Formalized Management of Changes at the Enterprise by Means of Fuzzy Logic
Abstract: The article presents a significantly updated approach to change management at enterprises. A rational methodological and analytical apparatus for implementing changes and the enterprise, which integrates a system of updated indicators, is proposed. Formalization of the change implementation project at the enterprise and steps to overcome resistance to changes is provided through the use of Matlab Toolbox Fuzzy logic. Determining formalized indicators of the implementation of changes at the enterprise are defined as “transformational capacity of the enterprise” and “expected as a result of the implementation of changes, the initial value of the enterprise's property”.
Keywords: change management;transformational capacity of enterprises;digital economy;construction enterprises;management of changing enterprises;national standardization systems;world economy;institutional environment;fuzzy logic
Review score: Moderate
Review comment: Adjust the fonts for the headings and in the conclusion section. Must be the same font and size
Title: Unlocking the Power of Blockchain for Safe and Secure Electronic Personal Information and Health Record Management with the Use of Cloud Storage
Abstract: Electronic Personnel Record (EPR) plays an important role in our lives. However, in most cases they are partitioned and stored in different databases owned by different institutions (hospitals, laboratories, clinics, offices, etc.) that are geographically dispersed in one or more countries. Due to this distributed and diversified nature of the various systems associated with accessing, sharing, protecting and tracking this personal data is difficult. Also, regular users cannot control their own private EPR. Recent scandals involving misuse of personal data by social media platforms and numerous breaches of user identity data have raised concerns about the technical, commercial, and ethical aspects of user data privacy and security. In this article, we introduced a management system architecture that is responsible for governing all electronic personal information and health record (EPIHR) of individual persons based on blockchain. Our proposed system architecture utilizes the tamper-proof attribute of the blockchain as well as overcomes the shortcomings of cloud-based data storage systems.
Keywords: Electronic Personnel Record (EPR);health data;security;blockchain;cloud storage
Review score: High
Review comment: I recommend correcting spelling errors in the Introduction, centering the figures and checking the correct reference to the figures. Subheadings of paragraph 5 are repeated, tabulation of paragraphs is not observed. The references in the list are repeated, there are not enough references in the description of the architecture.
Title: Unlocking the Power of Blockchain for Safe and Secure Electronic Personal Information and Health Record Management with the Use of Cloud Storage
Abstract: Electronic Personnel Record (EPR) plays an important role in our lives. However, in most cases they are partitioned and stored in different databases owned by different institutions (hospitals, laboratories, clinics, offices, etc.) that are geographically dispersed in one or more countries. Due to this distributed and diversified nature of the various systems associated with accessing, sharing, protecting and tracking this personal data is difficult. Also, regular users cannot control their own private EPR. Recent scandals involving misuse of personal data by social media platforms and numerous breaches of user identity data have raised concerns about the technical, commercial, and ethical aspects of user data privacy and security. In this article, we introduced a management system architecture that is responsible for governing all electronic personal information and health record (EPIHR) of individual persons based on blockchain. Our proposed system architecture utilizes the tamper-proof attribute of the blockchain as well as overcomes the shortcomings of cloud-based data storage systems.
Keywords: Electronic Personnel Record (EPR);health data;security;blockchain;cloud storage
Review score: High
Review comment: The authors suggested a novel method for managing electronic medical records’ anti-forgery. The approach offers a more workable technique than prior ones employing a “Blockchain Handshaker” abstract service layer. The topic of the article is relevant and meets all the requirements. But some note, authors  needed to add ORCID authors
Title: Analysis of Technological Entrepreneurship Module at Astana IT University and other Kazakhstani Higher Educational Institutions
Abstract: While high-tech entrepreneurs have been recognized as the important driving force for national innovation, more empirical evidence is needed. Especially, despite the notion of innovation efficacy has been well understood as an excellent approach to measuring national innovation performance, there is only a limited understanding of this concept. The purpose of this study is to analyze the impact of high-tech entrepreneurial activities like an educational innovation. In literature review, authors examined how some countries have implemented innovation and entrepreneurship into governmental programs, projects and their correlation with educational systems. Additionally, it was found out how entrepreneurship has transformed over last decades and which changes was subjected it to. For the purposes of research, authors have conducted several interviews among teaching staff of different universities who teach entrepreneurship-related modules and survey of Astana IT University students who take course on Technological Entrepreneurship. As a result, the survey showed that vast majority of students (72%) find the course Technological Entrepreneurship effective. Overall, the course receives quite positive feedback upon its content, teaching methods and amount of information provided. Moreover, some teaching staff were interviewed and they have proposed some recommendations from instructors' both teaching and professional experience and personal perspective.
Keywords: Entrepreneurship education;technological entrepreneurship;technology exploration;innovation education;entrepreneurial skills and competencies
Review score: Moderate
Review comment: In general, the article is good, the topic is quite relevant. The abstract of the article is too short, it is not clear which issues will be discussed in the article. The same revision requires an introduction. There is no clear definition of the purpose and objectives of the study. It is desirable to expand the conclusion section, add conclusions on this study and specify further directions for the development of this topic. The graphs presented contain information that is difficult to read in places.
Title: Analysis of Technological Entrepreneurship Module at Astana IT University and other Kazakhstani Higher Educational Institutions
Abstract: While high-tech entrepreneurs have been recognized as the important driving force for national innovation, more empirical evidence is needed. Especially, despite the notion of innovation efficacy has been well understood as an excellent approach to measuring national innovation performance, there is only a limited understanding of this concept. The purpose of this study is to analyze the impact of high-tech entrepreneurial activities like an educational innovation. In literature review, authors examined how some countries have implemented innovation and entrepreneurship into governmental programs, projects and their correlation with educational systems. Additionally, it was found out how entrepreneurship has transformed over last decades and which changes was subjected it to. For the purposes of research, authors have conducted several interviews among teaching staff of different universities who teach entrepreneurship-related modules and survey of Astana IT University students who take course on Technological Entrepreneurship. As a result, the survey showed that vast majority of students (72%) find the course Technological Entrepreneurship effective. Overall, the course receives quite positive feedback upon its content, teaching methods and amount of information provided. Moreover, some teaching staff were interviewed and they have proposed some recommendations from instructors' both teaching and professional experience and personal perspective.
Keywords: Entrepreneurship education;technological entrepreneurship;technology exploration;innovation education;entrepreneurial skills and competencies
Review score: Low
Review comment: The paper titled "Analysis of Technological Entrepreneurship Module at Astana IT University and other Kazakhstani Higher Educational Institutions" presents an analysis of the impact of high-tech entrepreneurial activities, specifically within the context of educational innovation in Kazakhstan. However, the paper lacks a clear structure and the abstract does not provide a sufficient summary of the research conducted. While the paper acknowledges the importance of high-tech entrepreneurs as a driving force for national innovation, it does not provide a clear research question or methodology for analyzing the impact of entrepreneurship education on innovation efficacy. The paper does offer some insights into the entrepreneurship modules offered by Astana IT University and other higher educational institutions in Kazakhstan. Overall, while the paper raises some interesting points about the potential impact of entrepreneurship education on innovation efficacy, and this paper serves as a good starting point for future research in this area.
Title: Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks
Abstract: In a wireless sensor network (WSN), the presence of faulty nodes can cause serious problems such as data loss, reduced network life, and reduced accuracy of collected data. Therefore, the detection of failed nodes is an important task in the design and deployment of WSNs. The article discusses in detail the methodology for detecting faulty nodes in WSN and the classification of faults in WSN, and also presents a taxonomy of different types of failures in WSN. The mathematical model of WSN failure is considered. A methodology for detecting faulty nodes is shown, which includes data collection, feature extraction, training of machine learning models, and performance evaluation using appropriate metrics. Machine learning such as convolutional neural network (CNN), probabilistic neural network (PNN), multilayer perceptron (MLP), decision trees (DT), support vector machine (SVM), random forest (RF), Bayesian Belief Network (BBN), Gradient Boosting (GB) and Extreme Gradient Boosting (XGBoost). Further research is needed to improve the performance of these methods and explore the use of other algorithms to detect faulty nodes in a WSN.
Keywords: wireless sensor network;failed node;machine learning;fault;error;failure
Review score: Moderate
Review comment: 1. Please, revise Section II in terms of organization and language. In some places, sentences are not complete. 
2. Table I is given, but not mentioned or referred in the text. Revise the grammar inside of the table content.
3. Improve sizes of bullet points in Section II.
4. Please, revise Section IV for grammar.
5. SGD is an optimization algorithm, not a classifier. It can be used to optimize logistic regression, SVM, MLP, or other networks. Therefore, it should not be listed among the classifiers (i.e. CNN, DT, and etc are classifiers, while SGD is an optimization algorithm).
6. Since the paper is about the analysis of machine learning application in WSN fault detection as name suggests, more in-depth analysis of related works are required. In particular, the information given in Table III needs to be expanded, grouped, and maybe compared with each other. The focus needs to shift from definitions (Table I and Section II content) to analysis of those models. The definitions can be made brief.
7. In Section II, the abbreviation of FSU is not defined.
Title: Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks
Abstract: In a wireless sensor network (WSN), the presence of faulty nodes can cause serious problems such as data loss, reduced network life, and reduced accuracy of collected data. Therefore, the detection of failed nodes is an important task in the design and deployment of WSNs. The article discusses in detail the methodology for detecting faulty nodes in WSN and the classification of faults in WSN, and also presents a taxonomy of different types of failures in WSN. The mathematical model of WSN failure is considered. A methodology for detecting faulty nodes is shown, which includes data collection, feature extraction, training of machine learning models, and performance evaluation using appropriate metrics. Machine learning such as convolutional neural network (CNN), probabilistic neural network (PNN), multilayer perceptron (MLP), decision trees (DT), support vector machine (SVM), random forest (RF), Bayesian Belief Network (BBN), Gradient Boosting (GB) and Extreme Gradient Boosting (XGBoost). Further research is needed to improve the performance of these methods and explore the use of other algorithms to detect faulty nodes in a WSN.
Keywords: wireless sensor network;failed node;machine learning;fault;error;failure
Review score: Moderate
Review comment: It seems that the schema is from another source in Figure 4, please provide reference to it.
Figure 6 contains the Stochastic Gradient Descent but it is not machine learning model. It is a method to find optimal value.
The paper is a review article,  I recommend to add more new research papers.
Title: Implementation of a Physically Unclonable Function on an FPGA
Abstract: This paper shows the implementation of a physically unclonable function (PUF) of the arbiter type and its modifications, the generation of random numbers and unique identifiers, and a statistical analysis of the generated sequences of random numbers. Within the framework of this work, experiments were carried out on different SoC, SoM crystals and within the same crystal with different placement on it, experiments with PUF modeling based on machine learning were simulated. The results and conclusions provide recommendations for the optimal and safe use of PUF.
Keywords: Arbiter PUF;FPGA;SoC;SoM;security;cryptography
Review score: Moderate
Review comment: No comments for this article
Title: Implementation of a Physically Unclonable Function on an FPGA
Abstract: This paper shows the implementation of a physically unclonable function (PUF) of the arbiter type and its modifications, the generation of random numbers and unique identifiers, and a statistical analysis of the generated sequences of random numbers. Within the framework of this work, experiments were carried out on different SoC, SoM crystals and within the same crystal with different placement on it, experiments with PUF modeling based on machine learning were simulated. The results and conclusions provide recommendations for the optimal and safe use of PUF.
Keywords: Arbiter PUF;FPGA;SoC;SoM;security;cryptography
Review score: Moderate
Review comment: The study is devoted to the current topic of physically unclonable function implementation.
But the given research needs to be completed and needs significant refinement. Can be recommended
1. Compare the proposed physically unclonable function implementation with known implementations and highlight the advantages.
2. Conduct a statistical study of the results for the absence of known vulnerabilities.
3. Correct spelling errors, in particular, "uncloneable". And check the compliance of the design of the template.
4. Rewrite abstracts and conclusions according to the amendments
Title: Control of Deterministic Chaotic Modes in Power Systems
Abstract: The paper examines a new approach to controlling deterministic dynamical chaotic mode of power system with two electric generate-sources. A control law is synthesized in the class of one-parameter structurally stable mappings from catastrophe theory. Analytical calculations and a numerical experiment in MatLab showed that the proposed system excludes the generation of a deterministic chaotic mode for any changes in the uncertain system parameters. The study of the control system is carried out by the gradient-velocity method Lyapunov vector functions
Keywords: nonlinear system;control systems;stability of an electrical systems;method of vector function of A.M. Lyapunov;chaotic modes
Review score: Low
Review comment: Only original papers are accepted on the conference and then it can be compared with other methods by performance or other criteria. The obtained results is duplicated with paper ID 158. 
Control of Deterministic Chaotic Modes in Power Systems is important topic in the research field, however, this paper requires some improvements.
1)Please state the limitations of the methods. Add the main information about the theory of catastrophe if this basis to this method in the introduction section.
2) skip some formula derivations, leave only what is initially given and the final derived equation in the middle give the explanation and references to justify the method. 
3) Compare the results with other methods with use of theory of catastrophe or without to see their performances in sense of controlibility and in sense of application, EPS GS.
4)Justify your hypothesis with graphical results and analysis of its performance.