Reviewerly/exHarmony huggingface dataset:
Intelligent Trust based Security Framework for Internet of Things

Trust models have recently been proposed for Internet of Things (IoT) applications as a significant system of protection against external threats. This approach to IoT risk management is viable, trustworthy, and secure. At present, the trust security mechanism for immersion applications has not been specified for IoT systems. Several unfamiliar participants or machines share their resources through distributed systems to carry out a job or provide a service. One can have access to tools, network routes, connections, power processing, and storage space. This puts users of the IoT at much greater risk of, for example, anonymity, data leakage, and other safety violations. Trust measurement for new nodes has become crucial for unknown peer threats to be mitigated. Trust must be evaluated in the application sense using acceptable metrics based on the functional properties of nodes. The multifaceted confidence parameterization cannot be clarified explicitly by current stable models. In most current models, loss of confidence is inadequately modeled. Esteem ratings are frequently mis-weighted when previous confidence is taken into account, increasing the impact of harmful recommendations. &#x0D; In this manuscript, a systematic method called Relationship History along with cumulative trust value (Distributed confidence management scheme model) has been proposed to evaluate interactive peers trust worthiness in a specific context. It includes estimating confidence decline, gathering &amp; weighing trust parameters and calculating the cumulative trust value between nodes. Trust standards can rely on practical contextual resources, determining if a service provider is trustworthy or not and does it deliver effective service? The simulation results suggest that the proposed model outperforms other similar models in terms of security, routing and efficiency and further assesses its performance based on derived utility and trust precision, convergence, and longevity.
On Optimality of Long Document Classification using Deep Learning

Document classification is effective with elegant models of word numerical distributions. The word embeddings are one of the categories of numerical distributions of words from the WordNet. The modern machine learning algorithms yearn on classifying documents based on the categorical data. The context of interest on the categorical data is posed with weights and the sense and quality of the sentences is estimated for sensible classification of documents. The focus of the current work is on legal and criminal documents extracted from the popular news channels, particularly on classification of long length legal and criminal documents. Optimization is the essential instrument to bring the quality inputs to the document classification model. The existing models are studied and a feasible model for the efficient document classification is proposed. The experiments are carried out with meticulous filtering and extraction of legal and criminal records from the popular news web sites and preprocessed with WordNet and Text Processing contingencies for efficient inward for the learning framework.
Role of Digital Technologies for Sustainable Innovation and Value Creation: A Narrative Review

The purpose of this review paper is to examine the role of cutting-edge technologies in various aspects of supply chain processes as a part of a strategic plan for driving sustainable innovation. Furthermore, the study also explores the impact of digitization on modernizing supply chain operations from an industry 4.0 perspective for value creation. The study implies a narrative qualitative review for the interpretation of analyzed data from the selected articles and is based on analytical, and logical reasoning to determine patterns, relationships, or trends within the realm of the chosen subject matter for this study. The literature reveals that the implication of cutting-edge technologies as a strategic part of supply chain operations is significantly important for sustainable innovation and value creation of the company. The findings of the study will have implications for the supply chain managers for creating value for their organizations, stakeholders, and customers. Moreover, the study will also provide the essential knowledge for the development of the theory in the same domain for future researchers.
Analysis of the Correlation between Lineaments and Earthquake Epicenters in the Marche Region (Italy) Using Remote Sensing Tools

Summary Earthquake prediction and monitoring of seismic activity remains one of the most difficult problems in the geosciences. Progress in the study of dangerous geological processes is closely related to the use of remote sensing materials (RSMs), which make it possible to identify and analyze relationships, rank different geological structures, etc. In this regard, today the development of new approaches to the study of earthquakes and their forecasting using GIT based on RS&lt; and software for their processing is widely used. One of the promising areas of research is the study of decipherable networks of lineaments on satellite images.
Korelasi E-Literasi Terhadap Perilaku Pencarian Informasi Ilmiah di Internet oleh Mahasiswa Sekolah Tinggi Teknologi Payakumbuh

The purpose of this study was to determine the correlation between e-literacy and the behavior of searching for scientific information on the internet by students of the Payakumbuh High School of Technology. This research uses quantitative research methods. The variables of this study are: the independent variable is digital literacy (X) and the dependent variable is information retrieval behavior (Y) using the Simple Random Sampling Technique with a total of 221 students of the Payakumbuh High School of Technology. The results of the descriptive analysis test using the Mean and Grand Mean formulas obtained the results of digital literacy categorized as good with an average value of 3.23. Meanwhile, information seeking behavior is categorized as good with an average value of 3.21. Based on the product moment correlation test, the correlation coefficient between digital literacy variables (X) and information retrieval behavior (Y) was obtained at 0.824 at the coefficient interval between 0.80-1,000 indicating a very strong relationship, with a positive direction because the value of r indicates a positive number. . Furthermore, based on the results of a simple regression test for the X and Y variables, the equation Y = 18.010 + 1.438X and RSquare of 0.68 means that the relationship between digital literacy and information retrieval behavior is 68%. While other factors outside this study amounted to 32%. So it can be concluded that there is a correlation of e-literacy on the behavior of searching for scientific information on the internet by students of the Payakumbuh High School of Technology.
ANALYSIS OF THE APPLICATION OF POWERPOINT BASED VIDEO TO IMPROVE TEACHER ABILITY

This research is motivated by the low ability of teachers in making learning media that can influence school quality. Varied and innovative learning media basically aim to create learning conditions that enable students to learn actively and have fun so they can achieve better learning outcomes and achievements. optimal. The purpose of this study was to describe the teacher's ability to make learning media using video-based Ms PowerPoint applications for teachers who are members of KKG SD Banuhampu District, Kab. Agam, through workshop activities. This type of research is qualitative, with a total population of 25 people. Data collection techniques in this study using the questionnaire method. The results showed that by implementing media-making workshops, the teacher's ability to create and use video learning media based on the Ms PowerPoint application could be improved
Analysis of Content and Learning of Food and Feed Bionutrition Supplement Book Students of Biology of University of Medan State

This study aims to determine the results of the feasibility of supplementary books from material experts and learning experts.This research was conducted at the Undergraduate Program (S1) of Medan State University from November 2021 to August 2022.The technique of collecting data is by means of a questionnaire.There are 2 types of questionnaires used to collect information and data needed in the development of supplement books, which are arranged based on the needs and suitability of information for students in General Biology lectures, namely: Material Expert Team, Questionnaire, and Learning Expert Team, to see the level of feasibility of the contents.The results of the material expert team's assessment showed that the feasibility of the content was in the very good category (95.3%), and the feasibility of the language was in the very good category (82.9%).While the learning expert team showed the feasibility of language in the very good category (93.3%), the feasibility of presentation in the very good category (95%), and PBL ( Project Based Learning ) in the very good category (100%) so it can be concluded that the product development The food and feed bionutrient supplement book that was developed is suitable to be used as student teaching material or as a learning reference in general biology courses.
Development of Steam-Based Interactive Poster Learning Media to Improve Higher-Level Thinking Skills for Kindergarten B Medan Tembung students

This study aims to produce a valid, practical and effective STEAM-based interactive poster media used to improve the higher-order thinking skills of kindergarten students.The implementation of this research was carried out in the odd semester of the 2022/2023 academic year.The module trial was conducted at TK B Al-Insani Medan Tembung.The subjects in this study were three expert validators (design experts, media experts, and materials experts), then teachers and children of group B AL-Insani Kindergarten Medan Tembung.Meanwhile, the object of this research is the development of STEAM-based interactive poster media to improve the high-order thinking skills of kindergarten students (level of feasibility, practicality and effectiveness of learning media).
LANGUAGE LEARNING, MULTILINGUALISM AND LITERARY TRANSLATION

In the following paper we try to discern the complex translation mechanisms seen in the light of the person performing this delicate operation. The study will focus on investigating and defining the nature, skills, capacities and specific talents that a person able to execute a literary translation has. We will deal with linguistic competences, simultaneous bilingualism and sequential bilingualism, as well as with grammatical versus communicative competences. Along with bilingualism, we will focus also on the topic of multilingualism as a social phenomenon governed by globalization, interculturality and social openness. In this sense, the interest on multilingual individuals, generally referred to as polyglots, could help our approach by providing important information in order to realise a comprehensive analysis of the literary translation process in particular. Operating with terms belonging to the sphere of language use and language learning, the paper aims to explore the topic in an interdisciplinary manner, to create a bridge between the linguistic performance and the translation act itself. At the same time, it outlines how languages, during centuries, with their complex implications for identity, communication, social integration, education and development are of strategic importance for people and the planet.
Use of Historical Material for the Safeguarding of Endangered Languages

This chapter presents several projects on the reconstruction of historical data in archives and old documents and their use. A particular focus lies on the Witsen project and the Pallas project. Embedded within the framework of a number of international research projects, historical language material has been safeguarded and published. This concerns not only texts, but also sound recordings. The reconstruction of data from endangered (sound) archives provides material that can be used for the study and teaching of (endangered) minority languages, many of which are spoken in Siberia (Voices from Tundra and Taiga). This reconstruction work can be considered as one of tasks of the Foundation for Siberian Cultures, about which information is provided. As an illustration, some specific examples are presented of severely endangered and extinct languages, such as Itelmen, Ainu and Nivkh in Eastern Asia and North-Frisian in Western Europe. The recorded material is stored in digital databases and can be applied to the study, teaching and safeguarding of endangered languages and cultures.
Influence of social media in the Practice of Journalism in Bangladesh

In the rapidly changing global arena, technological advancement and the adaptation of changing patterns of technology the growing trend in all areas, including journalism. The increasing use of social media in journalism due to technological advancement has been remarkably noticeable worldwide, including in Bangladesh in recent years. With the delicate touch of social media, sourcing and disseminating information have been easier. Social media has been considered one of the blessings of journalism to disseminate and share news events and get immediate feedback from the audience. As Facebook is the most popular social media among journalists in Bangladesh, the study took Facebook as the central unit of the research. The research's main objective is to determine how journalists in Bangladesh use Facebook in their regular journalism practices. The study is a qualitative study based on quantitative data. In the regular journalism practice, the study inquiries different uses of Facebook by Journalists in Bangladesh based on survey data. It has been found that to disseminate reports published or broadcasted in different newspapers and TV channels; journalists mainly use the Facebook platform. The study revealed that the reports not published or broadcasted in mainstream media are getting space in social media. The study also discovered that to get immediate feedback from the audience, the journalists in Bangladesh considered Facebook one of the most powerful tools. Moreover, to develop sources and get clues for news, Facebook occasionally assists journalists significantly. Furthermore, a significant finding is that ethical practice is in danger when practicing journalism on Facebook. Based on the above findings, the study concluded that for journalists in Bangladesh, social media would be an effective alternative to sharing news and getting immediate feedback from the audience.
TRAFFIC MANAGEMENT SYSTEM BASED ON BLOCKCHAIN TECHNOLOGY AND INTERNET OF THINGS

Blockchain is undergoing rapid development and has revolutionary potential applications in Intelligent Transportation Systems (ITS). Blockchain can be used to create a secure, reliable and decentralised autonomous system, creating the best use of legacy infrastructure and resources. One of the most important issues is the security issues caused by the evolution of ITS towards centralisation. Fast-growing technologies, including the Internet of Things (IoT) and cloud computing, enable most data processing, analysis and decision-making by centralised systems. With the continuous development of the Internet of Things, all kinds of smart systems are rapidly evolving to make life safer. Like many other industries, transport has entered a period of rapid change. The Intelligent Transport System is one of the fastest growing areas of smart systems, which is expected to improve road safety, alleviate traffic congestion and increase fuel efficiency. The main functions of an intelligent transport system are as follows: real-time monitoring of road conditions in specific areas, locating traffic accidents (crashes) in specific areas, dynamic monitoring and managing the continuous use of public transport services, which can lead to changes in vehicle traffic. In this paper, the above-mentioned functionality of an intelligent transport system will be used as basic modelling scenarios for the design and implementation of an intelligent transport system based on the Internet of Things and blockchain – both of which have the inherent characteristics of distributed technology – combining sensor nodes of the Internet of Things and distributed registry technology, to record changes in intelligent transport systems and create a credit token mechanism for op The intelligent transport system described in this paper is intended to be used only as a pilot project, subject to the conditions as shown in the simulated scenario. In real-world traffic scenarios, it may produce more complex system and data security issues, which will be described and analysed in detail in the article. An intelligent traffic system is a complex intelligent system; it can significantly change and reinvent the wheel for traffic conditions. Based on the system development discussed in this article, there are many more requirements and issues that need to be addressed in the future. Such topics will be covered in detail in our subsequent studies.
Privacy-Protecting Attribute-Based Conjunctive Keyword Search Scheme in Cloud Storage

&lt;p&gt;Cloud storage has been deployed in various real-world applications. But how to enable Internet users to search over encrypted data and to enable data owners to perform fine-grained search authorization are of huge challenge. Attribute-based keyword search (ABKS) is a well-studied solution to the challenge, but there are some drawbacks that prevent its practical adoption in cloud storage context. First, the access policy in the index and the attribute set in the trapdoor are both in plaintext, they are likely to reveal the privacy of data owners and users. Second, the current ABKS schemes cannot provide multi-keyword search under the premise of ensuring security and efficiency. We explore an efficient way to connect the inner product encryption with the access control mechanism and search process in ABKS, and propose a privacy-protecting attribute-based conjunctive keyword search scheme. The proposed scheme provides conjunctive keyword search and ensures that the access policy and attribute set are both fully hidden. Formal security models are defined and the scheme is proved IND-CKA, IND-OKGA, access policy hiding and attribute set hiding. Finally, empirical simulations are carried out on real-world dataset, and the results demonstrate that our design outperforms other existing schemes in security and efficiency.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Math and Stats

Abstract Like the programing tool of the previous chapter, this chapter is a summary outline of the mathematical and probabilistic concepts used in this book. This language is convenient to describe concepts with detail that can be translated directly into simulation programs. Thus, we are here mainly users of a useful scientific language rather delving into the science of mathematics itself.
Feed-forward mapping networks

Abstract This chapter explores the ability of basic neural networks that feed input from and input layer through possible layers of hidden notes to the output layer. It is then shown that such neural networks can implement mapping functions. Mapping neural representations are important in many brain processes and have dominated models in cognitive science in the form of multilayer perceptrons. For this it is important to explore the effects of choosing appropriate values for synaptic weights through learning algorithms. While feedforward networks are not enough to explain cognitive functions alone, they are an important ingredient of brain-style information processing and have contributed greatly to our understanding of adaptive systems. This chapter includes some review about concepts of machine learning and more recent developments such as deep learning. Such techniques are becoming increasingly important for industrial applications as well as analysing neuroscience data. However, we will largely focus on their relation to brain-style information processing.
Acceptance on Using Microsoft Teams in Learning the English Language amongst Undergraduate Students

This paper examines the acceptance on Using Microsoft Teams in Learning the English Language amongst Undergraduate Students at Universiti Teknologi MARA, Seremban Campus, based on the principles of the Technology Acceptance Model (TAM). This is due to the shifting mode of teaching and learning from physical classes to online platforms during the pandemic period since March 2020. A 5-point Likert scale survey questionnaire was used to collect the quantitative data from the respective respondents. A questionnaire was used as the instrument to collect the data, which was developed using Google Forms. The sample of the study was obtained through purposive sampling. The sample consisted of 85 students from the Faculty of Administrative Science and Policy Studies. The data were then analysed by using descriptive statistics, which were the percentages, and the results were presented in charts provided by Google Forms. The results indicate that students positively accepted the use of Microsoft Teams, which is also known as a popular platform for e-learning purposes, especially to cater to English language subjects in learning the English language.
ANALYSIS OF THE INFLUENCE OF HOSPITAL MANAGEMENT INFORMATION SYSTEM WITH STRUCTURAL EQUATION MODELING APPROACH (Case Study of Regional Hospital RAA Soewondo Pati)

The information system is one of the strategic means in patient care-oriented management. So far, Regional Hospital RAA Soewondo Pati has never conducted an evaluation related to the management information system (HMIS), so it is not known that the existing system is effective and efficient to answer patient needs. The purpose of this study was to determine the effect of the hospital management information system with the structural equation modeling method approach. This research is a case study research with data collection method using a questionnaire. The data that has been collected is then analyzed using SEM analysis. The results of his research stated that the quality of the system had a significant positive effect on the use of information systems. There is a significant effect of system quality on user satisfaction. There is a significant positive effect between the quality of information on the intensity of the use of information. In this study, the intensity of the use of information systems does not play a role in increasing user satisfaction in using information systems. User satisfaction has a significant positive effect on net benefits.
SISTEM INFORMASI ADMINISTRASI PADA SD IT FAZA CIANGSANA BERBASIS JAVA

The purpose of the study was to design an administrative information system at SD IT Faza Ciangsana into an applied system in order to speed up the recapitulation process and prepare reports accurately, and minimize errors during data collection.The system development method that the author uses in this research is the System Development Life Cycle (SDLC) model to develop an administrative information system that can function to improve the quality and effectiveness of SD IT Faza Ciangsana.The administrative information system extension uses MySQL as the database and Java Netbeans.The results achieved are a school administration information system, which can facilitate the service process for students'guardians, the student data collection process, the payment transaction process and also the report generation process.