Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: A method for clustering scientific publications based on natural language for the purpose of strategic planning of partnerships in interdisciplinary research
Abstract: The current research aims at examining the Kazakhstani scholars’ publications in order to reveal the topdiscussed topics and possible cooperation topics. By employing natural language processing, the research abstracts are grouped thematically to demonstrate the various clusters of themes present. The results reveal specific themes of the Kazakhstani research to provide the recommendations for the future academic development of the country and the cooperation between various fields. Thus, the approach illustrated the benefit of using thematic clustering for analysis and categorization of a vast amount of scholarly production.
Keywords: thematic clustering;natural language processing;k-means;textual data analysis
Review score: Moderate
Review comment: 1. article must be written in English
2. it is necessary to number the formulas, figures according to the requirements
Title: A method for clustering scientific publications based on natural language for the purpose of strategic planning of partnerships in interdisciplinary research
Abstract: The current research aims at examining the Kazakhstani scholars’ publications in order to reveal the topdiscussed topics and possible cooperation topics. By employing natural language processing, the research abstracts are grouped thematically to demonstrate the various clusters of themes present. The results reveal specific themes of the Kazakhstani research to provide the recommendations for the future academic development of the country and the cooperation between various fields. Thus, the approach illustrated the benefit of using thematic clustering for analysis and categorization of a vast amount of scholarly production.
Keywords: thematic clustering;natural language processing;k-means;textual data analysis
Review score: High
Review comment: The study is dedicated to the timely topic of selecting and improving the methodology for clustering scientific publications to identify thematic clusters. The authors propose integrating the research results as a microservice into an information system that implements information technology for strategic academic planning and interdisciplinary collaboration. The developed methodology is applied to a case study of scientific publications from Kazakhstan. The publication undoubtedly deserves acceptance. However, regarding improvements, I recommend that the authors formulate the conclusions more clearly.
Title: Application of Game Theory Methods to Optimize the Stakeholder Management Process
Abstract: Game Theory principles and their resultant games hold academic fascination and offer insights into strategies for interpersonal interactions, particularly in professional contexts. Effective communication is pivotal in successful project management. This research endeavors to bridge the gap between game-theoretic thinking and current project management models. The study’s findings shed light on the potential utility and importance of Game Theory in the project environment, enhancing traditional stakeholder analysis for project managers.
Keywords: Game Theory;Stakeholder Management;stakeholder analysis
Review score: Moderate
Review comment: The paper meets requirements for the conferencs. However it is required to change the literature as there is still Cyrillic symbols
Title: Application of Game Theory Methods to Optimize the Stakeholder Management Process
Abstract: Game Theory principles and their resultant games hold academic fascination and offer insights into strategies for interpersonal interactions, particularly in professional contexts. Effective communication is pivotal in successful project management. This research endeavors to bridge the gap between game-theoretic thinking and current project management models. The study’s findings shed light on the potential utility and importance of Game Theory in the project environment, enhancing traditional stakeholder analysis for project managers.
Keywords: Game Theory;Stakeholder Management;stakeholder analysis
Review score: Moderate
Review comment: This research is of scientific interest and meets the requirements of the conference. It is necessary to correct:
1. References to the literature in the text of the article should be correctly arranged. 
2. Please consider the distance between the formulas and the main text.
3. The quality of all images could be a lot higher. Please replace it. In Figure 2, the text needs to be more readable. 
4. Please format the reference list according to the requirements in the template. 
5. Please note the design of the subheadings "Analysis of Strategic Interactions Among Stakeholders Based on Nash Equilibrium," Application of the Game Core Concept," Constructing a Stage-by-Stage Game," etc.
Title: Information Technology of the Agro-Industrial Complex’s Design Objects Organization
Abstract: This research is aimed at organizing support for solving a multi-criteria problem of choosing the best alternative from a set of effective objects. The objects of research are agro-industrial complexes at the pre-investment stage of a construction project. The urgency of developing knowledge-based decision support systems and a scheme for extracting knowledge from object data is shown. The main result of the work is a specialized system for supporting the formation of organizational and technological decisions based on knowledge and information modeling technology. The presented system differs from the existing information modeling tools in that it allows to form the composition of objects taking into account their direct group dependence, as well as to determine the cost and timing of the investment and construction project under conditions of uncertainty caused by man-made factors. An ordinary approach is used to compare effective objects. The practical significance of the work is that experts are able to justify the choice by analyzing the results of numerical experiments with information models of agro-industrial complex objects, as well as with soil models.
Keywords: decision support system;expert assessment task;organizational and technological solution
Title: Development of the method of blood clot origin classification in ischemic stroke
Abstract: This study presents a novel method for classifying ischemic stroke aetiology using deep learning models, focusing on cardioembolism and large artery atherosclerosis. Recognizing the global burden of ischemic strokes and the complexity of their causes, we utilize convolutional neural networks (CNNs) to analyze medical imaging data. The method aims to accurately identify the origins of blood clots in stroke patients, enhancing diagnostic accuracy and treatment efficiency. Our approach demonstrates promising results in stroke classification, offering significant implications for medical practice, particularly in regions like Kazakhstan with high stroke prevalence. This research contributes to the evolving field of applying artificial intelligence in healthcare, specifically in stroke management.
Keywords: ischemic stroke;blood clot;classification;CNN;model training
Review score: Moderate
Review comment: This study introduces a new way to classify the causes of ischemic strokes using deep learning, focusing on cardioembolism and large artery atherosclerosis. By using convolutional neural networks (CNNs) to look at medical images, this method aims to find out where blood clots come from in stroke patients, helping doctors diagnose and treat strokes more accurately and efficiently.

The results of this study are promising for improving how strokes are classified, which is especially important in places like Kazakhstan, where many people suffer from strokes. 

The following minor improvements are recommended:
1. Please, use the IEEE conference format provided (2 columns). Current template is not appropriate.
2. It is recommended to improve english in the paper. Use some proofread service or online services like Grammarly.
3. Please, number your figures and use IEEE format for captions. In addition, some figures can be united to one figure and using a,b  you can create subfigures. That will improve the paper.
4. some of the titles (e.g., Convolutional Layers) are not clear, whether it is a subsection or what, consider using letters or enumerations to indicate its level in the paper structure
5. It is recommended to compare the obtained results with similar studies
Title: Development of the method of blood clot origin classification in ischemic stroke
Abstract: This study presents a novel method for classifying ischemic stroke aetiology using deep learning models, focusing on cardioembolism and large artery atherosclerosis. Recognizing the global burden of ischemic strokes and the complexity of their causes, we utilize convolutional neural networks (CNNs) to analyze medical imaging data. The method aims to accurately identify the origins of blood clots in stroke patients, enhancing diagnostic accuracy and treatment efficiency. Our approach demonstrates promising results in stroke classification, offering significant implications for medical practice, particularly in regions like Kazakhstan with high stroke prevalence. This research contributes to the evolving field of applying artificial intelligence in healthcare, specifically in stroke management.
Keywords: ischemic stroke;blood clot;classification;CNN;model training
Review score: Moderate
Review comment: it is strictly required to bring the article to IEEE format. It is also necessary to more clearly justify the contribution of the authors and the novelty of the approach. Highlight 3 new contributions your work makes to the field.
Title: Scientific research of the impact of globalization challenges on the process of innovative and informational development of cluster structures of the construction industry of Ukraine
Abstract: The article highlights the current aspects and conflict zones in the field of digitalization of the innovation process. With the increasing role of digital technologies in organizational functioning, they become a crucial factor for the success of business projects and open up new prospects for international cooperation. The article also analyzes the state of innovation activity in Ukraine in times of war and evaluates the innovativeness of national business on the international arena. The main focus is on regional policy, cluster functioning mechanisms, and the creation of an innovative construction cluster, including the processes of production, supply, and consumption in this field
Keywords: information technologies;information and communication technologies;innovation process;innovative activity;organization;digitalization;construction industry;innovation cluster;network interaction
Review score: Moderate
Review comment: -Change the format of the paper to be in line with the conference requirements.
-Figures, tables should be fit into the margin of the page.
Title: Scientific research of the impact of globalization challenges on the process of innovative and informational development of cluster structures of the construction industry of Ukraine
Abstract: The article highlights the current aspects and conflict zones in the field of digitalization of the innovation process. With the increasing role of digital technologies in organizational functioning, they become a crucial factor for the success of business projects and open up new prospects for international cooperation. The article also analyzes the state of innovation activity in Ukraine in times of war and evaluates the innovativeness of national business on the international arena. The main focus is on regional policy, cluster functioning mechanisms, and the creation of an innovative construction cluster, including the processes of production, supply, and consumption in this field
Keywords: information technologies;information and communication technologies;innovation process;innovative activity;organization;digitalization;construction industry;innovation cluster;network interaction
Review score: High
Review comment: This paper provides an in-depth analysis of the challenges and opportunities for innovation and digitalization within the Ukrainian construction industry in the middle of globalization pressures and the ongoing conflict. It evaluates the state of innovation in Ukraine, the impact of war on industrial innovation activities, and the potential of innovative construction clusters to enhance industry competitiveness and adaptability. The research is grounded in the current geopolitical context, offering both an empirical assessment and strategic recommendations for fostering innovation in the construction sector.

The study's focus on engineering and IT technologies in the context of the construction industry's adaptation to globalization and conflict challenges aligns perfectly with the conference's thematic priorities. The paper is well-structured, covering a literature review, current challenges, methodological approach, and strategic recommendations, ending with a conclusion that consicely ties together the research findings.

The research contributes original insights into the resilience and innovative potential of the Ukrainian construction industry under duress. It highlights significant findings regarding the adoption of digital technologies and the strategic development of innovation clusters. The paper employs a robust analytical framework, combining quantitative data on innovation metrics with qualitative assessments of industry trends and challenges. This multidisciplinary approach enhances the study's validity and relevance.

Arguments are well-founded, supported by empirical data, and theoretical frameworks. The conclusions drawn are logical, highlighting the critical role of innovation and digitalization in addressing globalization challenges and the specific context of conflict. The paper is written in clear, technical English, appropriate for an academic and professional audience. The presentation style is consistent.
Title: The Role of Encryption in Information Protection for Cloud Computing
Abstract: The article provides an analysis of modern encryption algorithms, particularly in the context of architectural components of cloud computing. Emphasis is placed on the challenge of effectively protecting confidential information in cloud services during data transmission and storage in virtual computing environments, especially considering the increasing volumes of data and cybercriminal abuses. Key challenges are identified, such as the need to enhance encryption algorithms to account for the characteristics of cloud environments, as well as the issue of key management and its impact on overall security. The article provides a comprehensive overview of modern cryptographic trends, focusing on the prospects of innovative methods for protection against cyber threats in cloud computing. The advantages and disadvantages of each method are highlighted, and recommendations are made for selecting and implementing the most effective cryptographic solutions in cloud environments.
Keywords: cloud technologies;data encryption;vulnerability of cloud computing;cryptographic solutions;cyber threats;virtual computing environments
Review score: Moderate
Review comment: Please improve the quality of figures (especially figure 2).
Title: The Role of Encryption in Information Protection for Cloud Computing
Abstract: The article provides an analysis of modern encryption algorithms, particularly in the context of architectural components of cloud computing. Emphasis is placed on the challenge of effectively protecting confidential information in cloud services during data transmission and storage in virtual computing environments, especially considering the increasing volumes of data and cybercriminal abuses. Key challenges are identified, such as the need to enhance encryption algorithms to account for the characteristics of cloud environments, as well as the issue of key management and its impact on overall security. The article provides a comprehensive overview of modern cryptographic trends, focusing on the prospects of innovative methods for protection against cyber threats in cloud computing. The advantages and disadvantages of each method are highlighted, and recommendations are made for selecting and implementing the most effective cryptographic solutions in cloud environments.
Keywords: cloud technologies;data encryption;vulnerability of cloud computing;cryptographic solutions;cyber threats;virtual computing environments
Review score: Moderate
Review comment: Article describes the new technology very vividly, however there is problems with pictures it is better to insert them in good quality. In addition formulas must be created in MathType
Title: Analysis of Penetration Testing Methods for Specific IoT Device: IP Camera
Abstract: This article delved into the effectiveness of various penetration testing methodologies tailored for IP cameras within the IoT ecosystem. The objective of research is to identify and assess the security vulnerabilities unique to IP cameras and to evaluate the efficacy of different penetration testing frameworks in mitigating these risks. Utilizing a mixed-methods approach that combines quantitative vulnerability assessment with qualitative analysis of security protocols, authors systematically explored the security landscape of IP cameras. The results highlighted significant vulnerabilities, particularly in default configurations and firmware weaknesses, and proposed a set of tailored recommendations aimed at bolstering the resilience of IP cameras against cybersecurity threats. This research underscored the critical need for an individualized approach in securing IoT devices, offering actionable insights for both manufacturers and cybersecurity professionals.
Keywords: penetration testing;IoT security;vulnerability analysis;IP camera;scanning;ethical hacking;cybersecurity threats;configuration
Review score: Moderate
Review comment: The article analyzes the penetration testing methodologies applied to IP cameras in the IoT ecosystem.  The authors have established the need for an individualized approach to increase the resilience of IP cameras to security threats, which will help to improve the overall security of IoT deployment. 
As for the comments, the authors should:
1) in the abstract, indicate the purpose, objectives, research methods, and clearly summarize the results;
 2) summarize the results of the study, proposing specific approaches to increasing the resilience of IP cameras to security threats for different scenarios based on the results of the study.
Title: Analysis of Penetration Testing Methods for Specific IoT Device: IP Camera
Abstract: This article delved into the effectiveness of various penetration testing methodologies tailored for IP cameras within the IoT ecosystem. The objective of research is to identify and assess the security vulnerabilities unique to IP cameras and to evaluate the efficacy of different penetration testing frameworks in mitigating these risks. Utilizing a mixed-methods approach that combines quantitative vulnerability assessment with qualitative analysis of security protocols, authors systematically explored the security landscape of IP cameras. The results highlighted significant vulnerabilities, particularly in default configurations and firmware weaknesses, and proposed a set of tailored recommendations aimed at bolstering the resilience of IP cameras against cybersecurity threats. This research underscored the critical need for an individualized approach in securing IoT devices, offering actionable insights for both manufacturers and cybersecurity professionals.
Keywords: penetration testing;IoT security;vulnerability analysis;IP camera;scanning;ethical hacking;cybersecurity threats;configuration
Review score: Moderate
Review comment: The study underscores the crucial need for enhancing security protocols, yet the article adopts a broad overview structure. While the detailed analysis of OWASP is commendable, it lacks specificity in proposing concrete techniques for improving security. Here are some recommendations:

Highlight Achievements: The authors should explicitly showcase the unique contributions of their study, emphasizing how their comparative analysis adds valuable perspectives to the existing knowledge on security protocols.

Concrete Implementation Example: Strengthen the practical applicability of the article by providing a specific example illustrating the implementation of one of the recommended security measures. This real-world scenario will offer readers a tangible understanding of how to apply the suggested measures.

Visual Representation: Consider incorporating visual aids such as diagrams or flowcharts to visually represent the structure and relationships between various security protocols. Visual representations can significantly enhance the clarity of the proposed concepts, making the information more accessible to a broader audience.

Detailed Techniques: In addition to offering recommendations, delve into specific and detailed techniques for improving security. Providing a step-by-step guide or practical examples will transform the article from a theoretical overview into a valuable resource for security practitioners seeking actionable insights.

By addressing these suggestions, the authors can augment the impact and practical relevance of their work, making it a more compelling and actionable resource for the security community.
Title: Study of Cardiovascular Diseases in the Retina, Obtained by Optical Coherence Tomography
Abstract: With the rapid development of artificial intelligence technology, the degree of integration of medicine and artificial intelligence is increasingly strengthened, and in the medical field, due to the aggravated aging of population in China, the impact of cardiovascular risk factors on the residents' health has become more and more significant. In our country, diseases of the cardiovascular system are the main cause of death every year, almost on a par with the consequences of COVID-19, cardiovascular diseases annually claim the lives of more than 2.5 million people a year. This number is steadily growing every year. The negative upward trend in the incidence of the cardiovascular system increases the relevance of the proposed work. For this reason, the object of study of the proposed article was the study of pathologies of the cardiovascular system.The main object of the research is an automated artificial intelligence system for the study of three types of cardiovascular diseases (CVD) in the retina (hypertensive retinopathy, retinal artery occlusion, ischemic neuropathy), obtained by photographing the fundus using modern artificial intelligence algorithms (Deep Neural Networks (DNN).This paper aimed to develop an intelligent system for the study of cardiovascular pathologies (hypertensive retinopathy, retinal artery occlusion, ischemic neuropathy) based on images of the retina of the fundus with the possibility of diagnosing some complications.As a result, the study of three types of cardiovascular diseases based on images of optical coherence tomography, implemented with a machine learning module for predicting the risk of developing the disease with diagnostic and consulting functionality. The model showed an accuracy of 92% which obtained results are good performance indicators of the system.
Keywords: optical coherence tomography;artificial intelligence;cardiovascular diseases;retina;neural networks;pattern recognition
Review score: Low
Review comment: the authors used fundus images taken with OCT for the diagnosis of heart diseases. The paper lack conclusion and discussion part. The results were presented in qualitative manner. More information needed about the accuracy of the algorithm. Needs substantial improvement.