Reviewerly/exHarmony huggingface dataset:
Parallel Multiple Mediating effect of Classmates and Student-Faculty Interaction on the Relationship between College Students' Academic Self-Efficacy and College Adaptation

The purpose of this study was to investigate the mediating effect of classmates andstudent-faculty interaction on the relationship between college students' academic self-efficacy andcollege adaptation. To this end, a survey was conducted targeting 188 students of G Universitylocated in G City. As for the analysis method, correlation analysis was first performed to find outthe correlation between the variables, and then the mediating effect between the variables wasinvestigated using a parallel multiple mediation model. According to the results of the study, first,academic self-efficacy was positively correlated with classmates, student-faculty interaction, andcollege adaptation. In other words, it was found that academic self-efficacy was related toclassmates, student-faculty interaction, and college adaptation. Second, academic self-efficacy notonly had a direct effect on college adaptation, but also had a mediating effect through classmatesand student-faculty interactions. This means that college students' academic self-efficacy directlyaffects college adaptation and at the same time indirectly affects college adaptation throughinteractions with classmates and faculty. In view of these results, it is suggested that developingclass strategies or educational programs that increase academic self-efficacy and strengtheninginteraction with classmates and students-faculty can help improve college adaptation.
Blockchain is a Team Sport

Brian M. Thornley leads the global supply strategy from plant to patient. He oversees Merck’s digital supply chain strategy including blockchain enabled pharma, organization development and enterprise segmentation to optimize service, cost, earnings and return on capital employed. Previously, he was AVP Supply Chain Operations EMEA &amp; AP, including Planning and Strategy for Merck MSD, developing the strategic approach to deliver internal efficiencies and external transformation of the supply chain from factories to end customer. Before joining MSD he was the COO of Aegate Ltd, implementing integrated data and information networks directly with pharmacies across Europe and the first commercial pharmaceutical authentication system across the European pharmacy network. Brian provided consultancy support to the PGEU, the representative body of pharmacies in Europe.
Shaping the Future of Healthcare Through Blockchain-Powered Technology

Learn the latest developments, solutions and forward-looking approaches with blockchain technology for healthcare. How do panelists view healthcare delivery systems changing through blockchain-powered technology? What solutions are they spearheading along with new models of collaborations with which they are involved? The panel will highlight how blockchain is leveraged to transform health systems.&nbsp;&nbsp;&nbsp
A Lattice-Based Embedding Method for Reversible Audio Watermarking

Existing reversible audio watermarking (RAW) techniques are often vulnerable to intentional or even unintentional attacks on the cover object. This paper proposes a robust RAW scheme based on lattices, which is referred to as Meet-in-the-Middle Embedding (MME). In MME, the lattice quantization errors are properly scaled and added back to the quantized host signals such that the receiver can estimate the cover. Scaling factor serves as a key factor to the reversibility of MME, whose feasible range is rigorously justified. Both theoretically and experimentally, we demonstrate the superiority of MME to improved quantization index modulation (IQIM) in terms of signal-to-watermark ratio (SWR) and generalized signal-to-noise ratio (GSNR). Moreover, simulations show that MME also outperforms other state-of-the-arts in SWR, objective difference grade (ODG), and bit error rate (BER).
Special Issue on Security and Privacy-Preserving Execution Environments

There is now an urgent need to understand the vulnerabilities exposed by hardware designs in greater depth and use this knowledge to formulate robust design principles for future generation computer architectures. This Special Issue on Security and Privacy-Preserving Execution Environments highlights emerging security and privacy challenges and explores the novel computer architectures that effectively address these issues. The articles cover a wide-ranging set of topics, including security of neural networks, nonvolatile and persistent memory technologies, acceleration of postquantum cryptography and homomorphic encryptions, and detection of trojan circuits without golden models, to name a few. The articles present a vivid illustration of the newer threat vectors as well as outline opportunities to fortify computer architectures against attackers targeting system security and privacy.
Split-Check: Boosting Product Recognition via Instance-Level Retrieval

AI-based methods are shining across a variety of industries, especially unmanned retail. Product recognition is the problem of recognizing the category and quantity of products (e.g., beverages and mineral water) in intelligent unmanned vending machines (UVMs) to automatic checkout during purchase. However, for similar products in hundreds of categories, the existing method is not accurate enough. Besides, they cannot be extended for new products without retraining. In this article, we propose a product recognition approach based on intelligent UVMs, called <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Split-Check</b> , which first splits the region of interest of products by detection and then check product by instance-level retrieval. Split-Check is the combination of two important components. The preliminary detection distinguishes items that contain the different coarse-grained features, then locates items, and classifies them into coarse-grained categories as a candidate. The retrieval further distinguishes the candidate items that contain the different fine-grained features. Besides, we reconstruct a large-scale categories product dataset GOODS-85 based on actual UVMs scenarios, in which the number of categories of items is larger than the existing dataset. Experimental results demonstrate the effectiveness of the proposed approach. Our method significantly improves the recognition performance of hundreds of products and increases the scalability of products.
TRAINING ON MAKING INTERACTIVE LEARNING MEDIA USING POWERPOINT TO IMPROVE TEACHER COMPETENCE

This article describes community service activities related to training on making interactive learning media using PowerPoint to improve teacher competence. This service activity uses training methods by creating learning media that contain basic competencies, core competencies, learning objectives, learning materials, and learning evaluation. The participants who participated in this training were Catholic religion teachers in elementary and junior high schools totaling 30 participants. The results of this service increase teacher competence in designing and utilizing PowerPoint-based interactive learning media to support the learning process. The results of the evaluation of activities show positively that participants gain new knowledge and can improve their competence. Participants also revealed the use of interactive media PowerPoint is easy to understand and can help users in operating learning media. The evaluation questionnaire also showed a positive response from participants, namely an average percentage of 81.4% with the category agree. Teachers can overcome the problem of using learning media through training activities and collaborating in competency improvement activities.
POLICY IMPLEMENTATION IN FLOOD MITIGATION (CASE STUDY IN TANJUNG UNGGAT, BUKIT BERSTARI SUB-DISTRICT, TANJUNGPINANG CITY)

Floods are a disaster that we often hear about in Indonesia and one of them is in Bukit Bestari District because that area often experiences flooding. The flood occurred due to rainfall. In addition, the residential area is close to the river. Therefore, the government needs to provide mitigation for these residential areas. This study uses a qualitative descriptive approach that tries to describe a situation based on known facts. Data were collected through observation, in-depth interviews and documentation, and the data sources were primary data and secondary data. From the results of this study, it will answer the formulation of the research problem that the efforts of the Tanjungpinang city government in implementing policies in flood mitigation are seen from rainfall, watersheds, slum areas, and waste generation in residential areas in the Tanjung Unggat area, so that attention is needed serious from the government. Therefore the suggestion from researchers is the need for an increase in water catchment areas or the relocation of slum areas in Tanjung Unggat.&#x0D;
Cryptocurrencies on the Tech Wave The Rise of Another Official Currency or Just a Dystopian Investment

Cryptocurrencies are a new form of currency that have gained widespread attention in today's age of rapid technological advancement. The underlying blockchain technology provides many advantages for cryptocurrency transactions, including decentralization, anonymity, and security. But there are always two sides to a story, and despite the fact that cryptocurrencies have solid technical backing, their development has been severely hampered by issues like the high stability of individual coins and the potential dangers of the technology itself, which have led many nations to pass laws restricting cryptocurrency use. Taking a literature review method, this paper explores the features of cryptocurrencies, their potential for institutionalization as legal tender, and their primary effect on the economy. This paper concludes that the widespread adoption of cryptocurrencies as a viable alternative to fiat currencies is highly improbable in the foreseeable future.
THE NEED OF ARITIFICIAL INTELLIGENCE IN THE FIELD OF ALTERNATE DISPUTE MECHANISM

Alternative Dispute Resolution (ADR) refers to the use of methods other than litigation, such as mediation and arbitration, to resolve disputes between parties. These methods are often preferred over traditional litigation because they can be less costly and time-consuming. In recent years, there has been a growing interest in the use of Artificial Intelligence (AI) in ADR. AI can be defined as the simulation of human intelligence in machines that are programmed to think and learn like humans. In this article, the author tries to focus on the need of AI in the field of ADR.
The Impact of Social Media, Information and Communication Technology (ICT) On Reading Habit

This systematic review study goals to carefully examine the influence of social media and information technology on reading habits. With the fast development of technology and the universal impact of social media in contemporary society, concerns have arisen regarding their effects on traditional reading practices. The study synthesizes existing research to provide a complete understanding of how social media and information technology have prejudiced reading habits across various individuals. By analyzing the literature, we recognize both positive and negative impacts, shedding light on possible strategies to mitigate the encounters and exploit the opportunities presented by these technologies. The findings highlight the need for a balanced approach that harnesses the benefits of technology while preserving and enhancing reading habits
Acceptance of technology by parent fraternity as a means of remote learning for children: An empirical study

The main purpose of this empirical study is to understand how acceptance of technology is prevailing among the parent fraternity that helps them to develop a positive attitude towards using technology as a tool to enhance their ward’s learning process. A survey among 6361 parents (Indian origin) of primary school students (Kindergarten and primary level) regarding their perceived usefulness and perceived ease of use regarding technology-assisted learning for their wards to understand how these factors influence their attitude towards technology for learning in the future was carried out through an online questionnaire. The result showed that the more parents found the Usage of Technology towards the e-learning process of their wards, the higher they tend to adopt the technology by exhibiting a positive Attitude towards Technology while the perception of Ease of Use of Technology also significantly predicted the perception of Attitude towards Technology. The favourable Attitude towards Technology is more visible among the parents of students who are of lower levels of study as compared to those who are at a slightly higher level of study. It is found that the parents of the student from the rural area schools possessed positive Attitudes towards Technology as compared to their counterparts in the urban areas. The outcome of this study is of greater relevance to the schools especially in the lower level classes to help students to harness technology from a young age because the parent fraternity is already in favour of such initiative.
EFL JUNIOR HIGH SCHOOL STUDENTS’ PERCEPTION TOWARDS USING YOUTUBE IN LEARNING PROCESS OF ENGLISH LISTENING SKILLS

Abstract: Choosing the right learning media can help students to get a better learning achievement. YouTube is known as the most visited video sharing and creating site in the world. This study aims to explore about students' perception towards using YouTube media in their learning process of English listening skills. Students tend to feel bored due to monotonous learning activities in the classroom without audio-visual media. This study also explored students’ perceptions on the types of videos they most prefer as a learning media in Junior high school. The subjects of this study are eighth grade students of one of junior high school in Karawang. This study used qualitative descriptive as the method. The data was collected from an online questionnaire through Google Form to make it easier to collect and analyze data. The result of this study showed that students have positive responses towards the English learning process in listening skills using YouTube. Students agree that using YouTube media as a learning tool in listening skills makes them more interested and motivated in deepening their English skills both for listening skills and speaking skills. They also recommended YouTube as an English learning media due to various video types that were provided in YouTube media.
Optimalisasi Model Ipal SPALD-S dan Ipal SPALD-T (Studi Kasus Kelurahan Pajang, Kota Surakarta)

&lt;p&gt;&lt;em&gt;Human needs for water and sanitation are intertwined, inadequate sanitation will adversely affect ecosystems and degrade water quality. Ecosystems must be preserved through effective sanitation management, as wastewater can damage ecosystems. Sanitation development is needed to manage wastewater before it is discharged into the environment/river. This research aims to determine which type of wastewater management such as septic tank, SPALD-S and SPALD-T is the best in terms of cost and quality with a case study in Kelurahan Pajang. The results of this study are expected to be useful for the community and government in determining the type of wastewater management that is environmentally friendly and efficient. It was found that the SPALD-T type is more cost-effective in terms of making and maintaining the type of wastewater network management, SPALD-T also has other advantages in terms of easier unit control and its construction is relatively safe from environmental pollution.&lt;/em&gt;&lt;/p&gt;
Predicting Prices of Different Cryptocurrencies Based on LSTM Models

For more than a decade, as the number and value of cryptocurrencies exploded, more and more investors flocked to the cryptocurrency market with the expectation of positive returns. The price of cryptocurrencies, on the other hand, is extremely volatile. As a result, there is a great need to develop an accurate price prediction model to assist investors in making decisions and profit. This paper focuses on developing an LSTM-based prediction model for Bitcoin, Ethereum, EOS, and Solana cryptocurrency price prediction and calculating their RMSE and MAPE. Furthermore, four models are compared using this calculated MAPE. Based on the comparison results, the impact of cryptocurrency volatility, liquidity, and technology level on the accuracy of the LSTM prediction model is also examined. The paper concludes that the LSTM model can predict the price of Bitcoin more accurately because Bitcoin has the least volatility, the most liquidity and uses the oldest but most secure consensus mechanism.
News Coverage of Covid-19 and Swine Flu: A Corpus-Assisted Study

The progression rate of Covid-19 and Swine Flu to the advanced pandemic level intensified the risk and damage to human fatalities. Since their outbreak, media outlets spared no effort in reporting news and updates about the two diseases. This study investigates the representations of Covid-19 and Swine Flu pandemics in The New York Times and The Guardian newspapers by utilizing a corpus linguistic quantitative approach. The most monthly read article was collected over one year since the two diseases were declared pandemics by the World Health Organization. The data were compiled in a corpus and analysed using Wordsmith software based on the concordances and the frequency list of the top 15 frequent words in each pandemic. The frequency lists generated 9 themes including: reporting verbs, titles, places, quantity expressions, people, disease name, prevention and control, impact and modal verbs. The study found that news tended to spread fear among people and highlight the governments' roles during Covid-19 pandemic more than Swine Flu.
Sistem Pendukung Keputusan untuk Optimasi Pemilihan Tanaman Hortikultura pada Lahan Pertanian

Horticultural crops have different classifications of land suitability for each plant. Therefore, accuracy is needed in the selection of crops for the land to be planted. This study aims to develop DSS for determining the type of horticultural crops adapted to agroecological characteristics. The methods used were Software Development Life Cycle (SDLC) with analysis for selecting suitable crops involving MOORA, BC ratio, NPV, and IRR. The validation process was carried out using land data from Panyingkiran District and Cikalongkulon District. The results show that the DSS made is able to provide recommendations that are in accordance with the state of agroecology on the actual land and plant categories, namely annual plants and perennial plants. The recommended horticultural crops also coincide with the plants cultivated by farmers in the respective areas.
Application of Computational Modeling in Mechanics

Teaching using computer simulations can be one of the efficient ways to make students understand the physics concept easily. Abundant existing work available to students in this area is not easily understandable for novice learners which lead to the inception of this project. This topic involves taking certain concepts from mechanics like projectile motion, simple harmonic motion, and gravitation, etc. with in-depth study and creating simulations of those concepts in python programming language, i.e. creating models which are at a reasonable degree of accuracy. The methodology comprises of 3 main stages which include i) background study of physical phenomena, ii) literature review to deeper understanding of chosen concepts and designing the models on paper with the actual implementation in Python, iii) analysis and conclusion. The outcome of the project is the creation of an Open-Access library which will be easily comprehensible with a basic understanding of physics.
Analisis dan Perancangan Sistem Informasi Manajemen Karyawan di PT. Regista Bunga Wijaya Cabang Surabaya

In the Human Resources Development (HRD) division at PT Regista Bunga Wijaya Surabaya branch, one of the main targets is the fulfillment of personnel. In meeting this target, HRD always opens job vacancies. To manage the number of employees who apply and select employees who are in accordance with the needs and criteria of the client, it takes a long time if you have to look at job applications one by one. In addition, to manage a Temporary Appointment Work Agreement, the employee salary component, and the current employee turn over are still conventionally recorded using Microsoft Excel. So that a system is needed that facilitates, speeds up and facilitates the process of employee accession and human resource management. The system needed is in the form of an Employee Management Information System to meet the needs of PT Regista Bunga Wijaya Surabaya branch, especially for the HRD division. In this study, a method of collecting system needs was used using a combination of techniques in the form of document analysis, brainstorming, and also prototyping. Information System The results of this study in the form of an employee management information system application design which includes employee fulfilment, employee data, and employee turn over at PT Regista Bunga Wijaya Surabaya branch can be used as a reference for PT Regista Bunga Wijaya Surabaya branch to be implemented into a system used as a support for company operations.
Implementasi Metode Local Weighting Pattern pada Prototype Ciri Frame Dinamis

In this age of technology, digital image and video processing is a fairly desirable field of science. Digital image and video can be used in various fields, one of which is industry, this has led to the development of digital images and video in the rapidly developing world of technology. Along with the development of digital image technology, object recognition in the image requires an increase in the algorithm in this case is the extraction of image features which of course also develops in the application of video. Video is a collection of images that are recorded or acquired during a certain unit of time. In this study, feature extraction was carried out using Local Weighting Pattern. As the object of research used video data. The results of the analysis are based on feature extraction experiments that have been carried out in this research, if the difference between frames is more than 0.045, then there is a change in the frames, if it is less than equal to 0.045 then vice versa
The Relationship of Academic Self-Efficacy to Academic Motivation of Junior High School Students From Families Towards Prosperity

Every individual behaves based on motives. The existence of a motive makes behavior directed towards the goals to be achieved by someone. Someone who has the motivation, based on the existence of self-confidence called self-efficacy. Especially in an academic setting, students will be motivated if they have confidence in the achievements they will achieve. The purpose of the study was to determine the relationship between academic self-efficacy and academic motivation of junior high school students from Families to Prosperity. The subjects in this study were 134 State Junior High School students in grades VII and VIII from those belonging to families towards prosperity. This research design uses a quantitative approach with regression analysis. The results of this study indicate that academic self-efficacy has an influence of 34% on the academic motivation of KMS students. The results of this study indicate that there is a relationship between self-efficacy and academic motivation of students who come from families to prosper. Self-efficacy as an internal factor has a greater role than external factors in increasing the academic motivation of students with family backgrounds towards prosperity