Reviewerly/exHarmony huggingface dataset:
E-KATCH (KANGRA APPLICATION FOR TRACKING CHUNAV)

e-KATCH (Kangra Application for Tracking Chunav) - Web application and Web view for the purpose of election expenditure monitoring - a novel initiative of District Kangra for the Himachal Pradesh Assembly Election 2022. One of the most important aspects of election monitoring is Expenditure monitoring which is paramount for a free and fair election. Since the Election Expenditure monitoring machinery works directly under the DEO, it is imperative that a monitoring tool be placed in a position to supervise the functioning of all the expenditure monitoring teams. The e-KATCH platform serves as a monitoring tool that enables the DEO and other authorized personnel to supervise and manage the activities of these expenditure monitoring teams effectively. This system helps in ensuring that candidates and political parties adhere to the election expenditure limits set by the Election Commission. It enables real-time monitoring of expenses, provides data analysis and reporting features, and facilitates transparency in the electoral process.
Regularity and Variation in Islamic Chains of Transmission

The isnād is a list of narrators’ names which precedes an account about Islam’s prophet or his companions, and indicates its origin. The content and the form of this list have been studied in different fields. Islamicists have scrutinised the names contained in the isnād in order to assess the authenticity of the following account and uncover potential fraudsters. Computer scientists, in turn, have focused on form: they attempted to exploit the regular succession of names and transmission terms to develop algorithms capable of distinguishing isnād from non-isnād texts. The present chapter opens a novel horizon by analyzing the structural variations of the isnād within the old and universal context of list-making. A twofold methodology, combining traditional and computational text analysis, highlights the actual contours of the isnād in a large corpus of texts and propose a hierarchy of functions linked to the different variations observed.
Regulating the New: Overland Telegraph to Generative AI

The Charles Todd Oration is an annual event run by TelSoc and is named for Charles Todd, the Postmaster-General of South Australia, who was responsible for completing the Overland Telegraph Line from Darwin to Adelaide in 1872. The 2023 Oration was delivered in Sydney on 12 October 2023 by the author, Rob Nicholls, and was introduced by Communications Minister Michelle Rowland MP. The Oration examined the challenge of novelty to regulators. It looked at history of regulating innovation, promotion of innovation in the context of consumer protection, how regulators can deal with innovation, and minimising consumer harm.
Building Trust in Telesurgery through Blockchain-Based Patient Consent and Surgeon Authentication

Telesurgery, which enables remote surgical procedures, has the potential to revolutionize healthcare by improving access to specialized care and reducing costs. However, trust in telesurgery is a major concern for patients and healthcare providers. To address this issue, we propose a novel system for building trust in telesurgery through blockchain-based patient consent and surgeon authentication. Our system uses a smart contract on the blockchain to store patient consent and surgeon authentication data, which is securely verified by the telesurgery robot. We present a simulation of our system and evaluate its performance. Our results show that our system can authenticate surgeons and grant patient consent quickly and securely. This system has the potential to increase trust in telesurgery and promote its widespread adoption.
Opportunities and barriers to professional self-realization of young people in modern Russia

Introduction. In modern society, the problem of professional self-realization is quite relevant. The development of professional skills and abilities, the identification of career strategies plays an important role in the economy of the Russian Federation. There is a certain list of opportunities that are available to any citizen of the state: admission to universities and educational institutions of secondary special education through a competitive selection system, the work of educational institutions to inform young people about promising areas of activity, and others. The state policy defines many directions for creating the necessary environment for the professional development of young people. The article also discusses some of the barriers that hinder the professional self-realization of young professionals.
Rule Mining Trends from 1987 to 2022: A Bibliometric Analysis and Visualization

Abstract Rule mining has emerged as a crucial technique in data mining and knowledge discovery, enabling the extraction of valuable insights and patterns from vast datasets. This has garnered significant attention from both academic and industrial communities. However, there is a lack of bibliometric and visualization research on rule mining, leading to an unclear delineation of research topics and trends in the field. To fill this gap, this paper provides a comprehensive and up-to-date bibliometric analysis of rule mining, covering 4524 publications published between 1987 and 2022. Using various metrics and visualization techniques, we examine the patterns, trends, and evolution of rule mining. The results show a sustained growth in rule mining research, with a significant increase in publication output in recent years, and its rapid expansion into new areas such as explainable artificial intelligence and privacy protection. While the majority of publications come from Asia, the National Natural Science Foundation of China emerges as the top funding agency in the field. We also identify highly productive authors and significant members of co-authorship networks, as well as the most influential publications and citation bursts. The need for international collaboration and the integration of diverse research perspectives is highlighted. Despite the progress in rule mining, several challenges still require further research, including scalability and efficiency, explainability, network security and privacy protection, and personalized and user-centered design. Overall, this paper provides a valuable roadmap for researchers, policymakers, and practitioners interested in rule-mining research.
APPLICATION OF BENTHIC FORAMINIFERA IN POLLUTION ASSESSMENT AT MISKAN ISLAND AND AL-KHIRAN COASTLINE, KUWAIT

The biodiversity of benthic foraminifera around the coral communities and the concentration of heavy elements (e.g., Mn, Fe, Cr, Cu, Ni, Pb, Zn, Cd, and Co) in Miskan Island and Al-Khiran coastline of Kuwait are used as an ecological indicator for the environmental and anthropogenic stresses occurred from February 2018 to February 2019. The study resulted in identifying 19 families, 6 orders, 29 genera, and 94 species. Using R-mode cluster analysis results in four assemblages and using Q-mode principal component analysis (PCA) distinguished three groups depending on the deep. The three main assemblages refer to different depths, Group A from 20 cm to 1 m depth; Group B from 1.5 to 2 m depth, Group C from 6 to 8 m depth. Al-Khiran coastline is characterized by anoxic conditions, confirmed by the existence of pyrite. Additionally, high water turbidity because of anthropogenic effects. The low number of benthic foraminifera on Miskan Island is due to the dissolution and calcification of foraminifera shells. The Island characterized by freshwater runoff from Iraq meets saltwater in the gulf, affecting the salinity. The turbidity is caused by sediment runoff and eutrophication. Both sites were considered relatively unpolluted compared with the nearest Iranian coast. However, the relatively high potentially toxic elements in some locations are due to the semi-restricted geographic characteristic and high anthropogenic activity. There is no clear abnormality in the identified species showing normal aperture, coiling, shape, and size.
On The Use of Dots in Principia Mathematica

Abstract: The distinctive squared dots in Principia Mathematica have two uses, to replace parentheses or brackets to indicate the scope of connectives and operators as well as to symbolize the sentential connective “and”. The explanation of the use of dots in the Introduction shows that the punctuation dots express conjunction by symbolizing the juxtaposition of formulas, following Peano, and so they are always used as punctuation. This paper thus supports Turing’s assertion that conjunction in Principia is expressed by juxtaposition.This analysis avoids Curry’s proposal that an “auxiliary” connective for conjunction should be involved in interpreting the dot notation.
Linguistic Complexity of Patient Information Leaflets: A Coh-Metrix Analysis

The present study explored linguistic complexity of patient information leaflets based on the Coh-Metrix analytical tool. Using 100 patient information leaflets of seven common ailments in Ghana, the researcher analyzed the lexical and syntactical features of the leaflets to ascertain their linguistic complexity. The results revealed patient information leaflets are lexically dense except the leaflets for dewormer which were written at moderate level. Also, the study revealed that the patient information leaflets were syntactically complex. However, a comparative analysis of the leaflets across ailments revealed no significant difference in the syntactical and lexical densities among the leaflets. The researcher recommends that further studies be conducted in other health information documents to ascertain their linguistic complexity. Keywords: readability, lexical density, syntactical complexity, Coh-Metrix, patient information leaflets, health communication
Program control of obstacle avoidance and bridging cars at different angles

This design aims to solve the problem of being unable to move forward due to obstacles during earthquakes. Through this program, unmanned vehicles can adjust their angles by identifying obstacles. This article uses Arduino software for programming, achieving automatic recognition of programs from different angles. Thus achieving precise angle control and exploring the differences in programs from different perspectives. Compared to traditional manual driving, unmanned obstacle avoidance vehicles can reduce risks and accidents, thereby improving road safety. In the event of an earthquake, there may be obstacles such as building collapse and accumulation on the road, which brings difficulties and risks to the driving of vehicles. Through this design, unmanned vehicles can use sensors such as lasers or cameras to perceive the surrounding environment in real-time, and use algorithms to determine and recognize the position and shape of obstacles. Once an obstacle is found, the unmanned vehicle will automatically adjust its angle to bypass or cross the obstacle, ensuring the safe driving of the vehicle. The design uses Arduino software for programming, which is an open source electronic prototype platform with easy to learn and use features. By programming, unmanned vehicles can be accurately controlled based on different angles and obstacle shapes. This can improve the maneuverability and adaptability of unmanned vehicles, enabling them to flexibly respond to various road conditions and obstacles.
Research on the development and risks of large language models

Large Language Model (LLM) has great potential and wide application prospects, including improving the degree of intelligence, improving production efficiency, and providing diverse solutions for enterprises, governments, individuals, etc. If the problem of computing power can be overcome, it will have unlimited potential. It has attracted wide attention in the fields of Natural Language Processing (NLP) and Artificial General Intelligent (AGI). However, with the expansion of the scale and capabilities of large language models comes a series of potential risks and challenges. This paper reviews the development and risks of large language models in different research fileds. In the future, with the improvement of algorithms, personalized solutions can be developed more efficiently for service, and social productivity can be improved. However, it is also necessary to strengthen the regulatory review of the output of large language models and the correction of data bias to ensure the accuracy of the research content.
Innovative Learning Technologies for Future Elementary School Teachers in the Context of Neuropedagogy

The article reveals the study of current pedagogy of the essence of the concept of neuropedagogy, opens up the possibility of a new perspective on the pedagogical process, in particular, on the use of innovative technologies of teaching future elementary school teachers in the context of neuropedagogy. The topic is very relevant, as it allows to obtain scientific knowledge about the peculiarities of individual personal development and the impact of the development of psycho-cognitive processes on student learning. The objectives and content of the application of the neuropedagogical approach in the process of learning innovative technologies for future elementary school teachers in the context of neuropedagogy are characterized. The results of our analysis show that neuropedagogy is still not a universally recognized science, but part of the world scientific society has already begun to work in this direction. Scientific works in this field point to the profound potential of neuropedagogy as a future science for creating a favorable environment for learning and application of knowledge. The article shows the role of neuropedagogy in the complex educational system of innovative education and training of students on the basis of achievements of neuroscience; defines the importance of brain organization of cognitive processes of different activities; presents a differentiated approach to learning activities - the most important neuropedagogical factor of successful design of innovative lesson and the effectiveness of innovative educational environment of the university in forming innovative learning technologies of future teachers of elementary school.
Blockchain Technology in Lands Registration: A Systematic Literature Review

Blockchain technology (BT) is increasingly important in digital government as a means of efficient information management, decision making and an instrument for reform. This study presents a systematic review of BT's potential and application in land registration within low-income countries. The study uncovers diverse approaches to BT implementation that are influenced by local conditions and government structures. The study reveals that while there is a burgeoning interest in this field, actual implementations remain limited. The key barriers include resistance from government officials and a lack of local BT skills. Public blockchains have shown a high tendency for adoption, indicating a shift towards more transparent relationships between governments and citizens. The Hyperledger Fabric platform emerges as a popular choice due to its ability to provide secure, scalable, and robust solutions. However, there is a lack of clarity regarding the consensus mechanisms used, indicating a potential gap in current research practices. The study recommends an incremental approach to BT implementation, starting with non-threatening, transparent processes that could be expanded as part of broader government reform programs. Despite the potential of BT to revolutionize land registration systems and democratize tracking, it also poses a threat to existing power structures. Therefore, more robust empirical research is needed to evaluate the impacts and navigate the associated sociotechnical, legal, and institutional challenges. The study also proposes the establishment of a BT collaborative network among low-income countries to leverage shared experiences and develop a common framework for implementation. In the single instance where it was implemented in Georgia, public trust in government was restored. The study contributes to understanding how BT can be effectively harnessed to improve land registration systems in low-income countries.
One shot alpha numeric weight based clustering algorithm with user threshold

&lt;p&gt;Information Retrieval from Files and data bases like data sources is a major issue now days. After Information Retrieval clustering is also a one of the important things. In the market so many clustering algorithms were available. But choosing of the clustering algorithm depends on the user requirements. This paper addresses the study of agglomerative approach for different constraints or metrics or user preferences like Number of levels in the clustering process, number of clusters that should be generated at each level and range of the attributes at each level for doing the clustering for the given data set. In brief overview we discuss the agglomerative approach for clustering algorithm with their user preferences.&lt;/p&gt;
COMPETENT APPROACH IN THE DEVELOPMENT OF MOTIVATION OF STUDENTS OF THE PEDAGOGICAL DIRECTION

The article discusses an approach that contributes to the development of students' motivation in the pedagogical direction. The definition of such a concept as a competence approach in training and in the development of motivation is given. The main types of activities in the conditions of training, which are the reason for the decrease in the motivational level, are touched upon. Since lectures are the main activity in higher educational institutions, as well as one of the sources of motivation formation, certain principles for conducting lectures are indicated. An important place is given to the definition of motives, which is established with the help of diagnostics, which is why the emphasis is on the method of questioning. For a competent approach to the issue of motivation in learning, it is necessary to arm yourself with professional knowledge, various methods and techniques, which a competent teacher possesses, striving to constantly develop in this field of activity. Therefore, the main qualities of a competent teacher are also identified. Empirical data were obtained using a survey of junior and senior students based on the methods of T.I. Ilina and A.A. Rean. The construction of models in the form of motivational profiles and histograms was carried out using the Microsoft Excel software.
3D modeling of stone statues based on stone carving of Ming Xiaoling Mausoleum and historical materials of Ming Dynasty armor

Abstract Based on the historical research on the shape of armor in Ming Dynasty, this paper explores the shape characteristics of general armor in Ming Dynasty in China through field research on the general stone statue of Ming Xiaoling Mausoleum in Nanjing. Through Ming Xiaoling Mausoleum general stone carving 3D animation technology restoration project, virtual material heritage practice is carried out. Through the modeling of the general stone statue in Ming Xiaoling Mausoleum by MAYA and Zbrush, UE4 realizes the construction of scenes and the output of interactive effects, so as to explore a mode of application engine animation that can preserve and propagate general stone carving in Ming Xiaoling Mausoleum.
Social media proficiency, digital information accessibility and information sharing behaviors among library and information science students

Background of the study: Students proficiency in using academic resources is a topic of interest, particularly in social media utilisation, digital information literacy, and online information sharing practices. Purpose: The study investigated the social media proficiency, digital information accessibility and information sharing behaviours among library and information science students, university of Maiduguri, Borno State Method: The study was guided by 3 research objectives and 2 hypotheses. The study consisted 742 undergraduate students, out of which 649 responded to the questionnaire dispersed through online survey. Mean scores and standard deviations were used for descriptive analysis and inferences were made with regression analysis. Findings: Students demonstrated moderate digital literacy skills for academic activities, with average competencies in locating and evaluating quality online sources and leveraging digital tools, (x̅w = 3.01, Std. 1.489); and that social media usage among the students is moderately frequent (x̅w= 2.97, Std.= 1.48); while collaborative digital learning behaviours are moderately high among the LIS students (x̅w = 3.68, Std. = 1.435). Conclusion: Individual student engaged in online collaboration and communication via social media for educational purposes, but still have deficiencies in certain abilities such as evaluating online authenticity, and effectively managing distractions.
The role of @literarybase X account in fulfilling information literation needs

Background of the study: X is a social media used mainly by the public as a source of information and can fulfill its users' information needs, including the @literarybase account, which discusses literature and books. Through this, it is expected to increase information literacy skills through information search activities to meet the information needs of its users. Purpose: This study aims to determine the role of auto-base @literarybase in meeting the information literacy needs of its followers. Method: The method used is quantitative with survey techniques. Data was collected online through the distribution of Google form questionnaires to followers of the @literarybase account with a Likert scale as a measurement, and analysis was carried out descriptively. Findings: The @literarybase account has played a role in meeting the information needs and training the information literacy skills of its followers. In content gratification, the @literarybase account fulfills the needs of information sharing and information seeking. In the gratification process, the @literarybase account fulfills entertainment, pass time, escape, habit, and self-expression needs. In social gratification, the @literarybase account fulfills the information needs through social interaction. Finally, regarding technology gratification, the @literarybase account fulfills information needs in the form of relative advantage. Conclusion: The @literarybase account has played a role in meeting information needs and training information literacy skills for its account followers. However, several aspects still need to be fully met, such as the need for self-document in content gratification, the need for campaigns in process gratification, the need for status seeking in social gratification, and the need for social compliance in technology gratification.