Reviewerly/exHarmony huggingface dataset:
Enhanced Group Recommendations using member inclination and item usefulness

The purpose of group recommender systems (GRS) is to recommend relevant items to group members rather than individuals. The suggestion relies entirely on obtaining the preferences of groups, which is mostly dependent on trust, tendency, influence, likeness, closeness, etc among the group of users. One of the common and current issues in GRS is member relationships and group satisfaction. To improve the group recommendation and group satisfaction, we introduce member inclination and item usefulness in a group. The proposed method is discussed in two ways by using the aggregate prediction approach of GRS. In the first case, we compute user inclination and item usefulness considering the whole dataset. In the second case, we compute member inclination and item usefulness using only group information. We introduce a novel aggregation strategy based on popularity and likeness (PLAS). It combines the predicted member rating into a group score.To evaluate the group satisfaction, we propose a satisfaction measure for the group (SMG). Experiment is conducted on MovieLense-1M (ML-1M), MovieLense-100k (ML-100k), and NetFlix-1M (NF-1M) datasets. The proposed novel approach outperforms the existing state-of-art method in various measures like MAE, RMSE, Precision, Recall, F-1 measure, GIM, GPIM, and SMG.
MixerNet: Deep Learning for Eigenvector-Based CSI Feedback

Deep learning (DL) methods have been widely used for channel state information (CSI) feedback to reduce the feedback overhead. CSI feedback mainly includes full CSI feedback and the eigenvector-based CSI feedback. This paper focuses on the eigenvector-based CSI feedback and designs a DL-based approach, referred to as MixerNet, where the joint eigenvector composed of multiple subbands is first compressed by an encoder at the transmitter and then recovered by a decoder at the receiver. On the other hand, the compressed information should be quantized before being transmitted to the decoder, therefore uniform quantization (UQ) and vector quantization (VQ) are respectively studied to improve the system performance. Experiment results indicate that the designed MixerNet could recover CSI with high reconstruction quality, however has fewer trainable parameters and lower computation complexity compared with existing DL-based methods. Moreover, VQ method in the MixerNet outperforms UQ method in terms of CSI reconstruction quality.
A Novel Forensic Methodology for SQLite Database Carving

The cellphones utilize SQLite to store communication as well as other data records. It is a type of small database software that is commonly found in embedded systems and application softwares. In recent years, there has been an increase in the availability of portable devices like smartphones, contributing to the expanding adoption of SQLite. This indicates that the probability of finding SQLite database files in digital evidences is very high. The forensic investigators could get treasures of evidential artifacts from the SQLite database file. This paper explores the SQLite database format and structure of lost data from an Android phone and proposes a novel methodology for recovering deleted data from unallocated space, freelist and freeblocks in SQLite database files. The proposed methodology is found very effective for recovering deleted data from SQLite database files.
Mechanical certification of FOLID cyclic proofs

Cyclic induction is a powerful reasoning technique that consists in blocking the proof development of certain subgoals already encountered during the proof process. In the setting of first-order logic with inductive definitions and equality (FOLID), cyclic proofs can be built automatically by the Cyclist prover, but their implementations are error-prone and the human validation may be tedious. On the other hand, cyclic induction is not yet integrated into certifying proof environments that support first-order logic and inductive definitions, such as Isabelle and Coq. We propose a solution to check, using Coq, the cyclic proofs produced by E-Cyclist, an extension of Cyclist that implements a more efficient soundness validation method, by using the general Noetherian induction principle integrated into Coq. Our work is based on a methodology for certifying first-order formula-based Noetherian induction proofs, such as those based on implicit induction. The advantages of our approach are threefold: - I) The certification of cyclic FOLID proofs is mechanical. Coq can validate every single step from the E-Cyclist proofs, as well as the induction arguments; also, it helps to identify errors in a very precise way. - II) There is a great potential for automation. The methodology has already been used to automatically convert to Coq scripts implicit induction proofs. - III) Cyclic induction can be directly performed in Coq. Coq functions are provided to manage the induction part.
Reviewer Acknowledgements for Applied Economics and Finance, Vol. 10, No. 1

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 10, Number 1 Ali Darub Al-Hiyali, University of Anbar, IraqDilshodjon Rakhmonov, Tashkent State University of Economics, UzbekistanFahri ÖZSUNGUR, Adana Science and Technology University, TurkeyFarhat Iqbal, University of Balochistan, PakistanGetamesay Bekele Meshesha, Ethiopian Civil Service University, EthiopiaIgor Matyushenko, School of Foreign Economic Relations and Touristic Business, UkraineIulia Lupu, Victor Slavescu” Centre for Financial and Monetary Research, Romanian Academy, RomaniaLiao Zhu, Cornell University, USALingkai Kong, Izmir University of Economics, TurkeyMurad Harasheh, University of Bologna-Italy, ItalyNikoloz Chikhladze, Akaki Tsereteli State University, GeorgiaOlena Sokolovska, St. Petersburg State University, RussiaOmer Allagabo Omer Mustafa, Sudan Academy for Banking and Financial Sciences., SudanPayal Chadha, University of Wales Prifysgol Cymru, KuwaitRajeev Rana, APB Govt. P.G. College, IndiaSaudin TERZIC, University Vitez, Bosnia and HerzegovinaShahram Fattahi, Razi University, Iran Nikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com
Supplemental Material for Enhancing the effectiveness of virtual reality in science education through an experimental intervention involving students’ perceived usefulness of virtual reality.

This study examined whether the effectiveness of virtual reality (VR) in science education could be enhanced by providing students with relevant information about VR's usefulness before a virtual lesson.On the basis of expectancy-value theory, we manipulated students' perceived usefulness of VR by using video priming before presenting a virtual biology lesson.We then assessed how the intervention affected students' presence, interest in the virtual lesson, and learning achievement.Additionally, we tested the relationships between presence and learning outcomes.A sample of 196 students in Grade 10 was randomly assigned to a learning-usefulness condition, a daily-life-usefulness condition, or a control condition (no priming intervention) in VR.The results showed that students in both experimental conditions perceived VR as significantly more useful for learning and had greater learning achievement than those in the control condition.In addition, students in the daily-life-usefulness condition experienced less presence than those in the control condition, but there was no difference between the learning-usefulness condition and the control condition in this regard.However, the intervention had no effect on students' interest in the virtual biology lesson.Moreover, students in the two experimental conditions did not differ from each other on any of the outcomes we considered.Furthermore, the results revealed that students' presence was positively associated with their interest in the virtual lesson but was not related to their learning achievement when the intervention's effects were controlled for.These findings suggest that students' awareness of VR's usefulness could be a factor in VR's effectiveness.
Empathy as a Resource of Students' Hardiness during University Adaptation

Introduction. The resources approach allows to obtain the knowledge that is necessary in modern reality, as well as to reveal the facts, patterns and mechanisms of coping with difficult life situations. The goal of society in the period of global development is to identify how to increase the hardiness of each individual and thereby ensure its sustainable development. The resource is the empathic interaction of individuals. But what kind of communication can be called successful in an educational environment? In modern education emphasis is placed on the development of «flexible skills» for rapid adaptation. Empathy is usually developed among students because according to common belief it contributes to social adaptation. Purpose of research. Thus, the study is aimed at establishing the resources of empathy through the facilitation of hardiness in the university adaptation of students. The university adaptability of students is clearly reflected in the social context of development, educational and future professional activities. Materials and methods. In this study we apply the following methods of psychological diagnosis: Index of hardiness (S. Maddi), Test of empathic abilities (V.V. Boyko), Questionnaire of students' adaptation to higher education (M.S. Yurkina), A test for determining suicidal tendencies (P. Wider, described by A.Y. Egorov, S.A. Igumnov). Results. The study has established the resource side of empathy which might increase students' hardiness in relation to adapting to the university. The study has profiled 249 students. Conclusion. The study demonstrates that the characteristics of the conative parameters of empathy differ significantly from the perceptual channels of empathy. It is proved for the first time that only conativity in empathic interaction can increase the hardiness of students in educational and professional activities. Empathy as a resource of hardiness in the university adaptation of students is manifested through the interaction of conative empathy with the sides of learning. Thus, the interpretation of the concept of a resource for cognitive empathy is that it increases hardiness and reduces suicidal tendencies. Resourcefulness not just facilitates the learning success, but also eliminates negative impacts. The emotional component of empathy reduces hardiness. This stems from its implicit, subconscious structure, and the impossibility of reaching the supra-situational level of resource thinking.
Concerning Modeling of Modern Professionalization and Self-Identification Systems in Higher Education

The article deals with the hypotheses about possible modeling of self-identification and professionalization systems. It is supposed that, during the age of transfer to a new technological paradigm, imperatives of the industrial age and the age of labor specialization are now implied instead of being evident. Imperatives of specialization and qualification are now completed with the imperatives of competence and self-identification. This leads to fundamental changes in the system of professionalization. The hypotheses are completed with an empirical research of modeling the system of objectification for individual self-identification potential. The research demonstrated a fundamentally new possibility to distinguish individual typological styles in solving educational tasks. The authors decided to limit the research with a situation when a bank of educational tasks is formed based on social and engineering practical problems. As a result of the post-experimental concept the authors defined the typology of four intellectual styles. The fundamentals for the typology is the grounded theory method. The conceptualization of intellectual styles is proved by the cluster analysis results. Based on cluster analysis, sub-groups were revealed. They differ from each other by special intellectual preferences and cognitive styles of information processing. The assumption that modern education needs a complex system of tests that corresponds to the complexity of individual variability of a person, is proved and claims for further verification and conceptualization. Existential Anxiety of Religious Identity and Religious Extremism in Indonesian Muslims
FREQUÊNCIA DA OCORRÊNCIA DE EVENTOS TROMBOEMBÓLICOS NA COVID-19: REVISÃO INTEGRATIVA

The pandemic caused by the SARS-CoV-2 virus has affected the health services and day-to-day lives of billions of people around the world. COVID-19 is a lung infection that causes mild to severe symptoms. It is known that the hemostatic disorder resulting from this infection produces an immune response that triggers the activation of coagulation factors and thrombin release, communicating the pathways of humoral and cellular amplification causing thromboinflammation. Thromboembolic events represent an important portion of potentially fatal consequences in patients who have evolved to severe form and secondary complications, especially in survivors with post-covid syndrome. This article is an integrative revisional study of the literature that analyzes the events already reported. PubMed and Scielo databases were used to search for the main thromboembolic events resulting from this infection.
LIS Newsletters in India: An Analysis

Newsletters are a vital source of current news, events and the latest happenings in a given field. Even in the library field, LIS professionals relied on newsletters to keep up with the latest developments in their area. For years, LIS professionals have been using print and online newsletters to promote and market their library, activities, services, and products. The objective of a newsletter, whether internal or external, is to inform and keep in touch with users/clientele/patrons/members. It contains the latest news, updates, important information, highlights and curated insights that assist in branding and marketing the institution, library, its products and services, and library personnel. It is a cost-effective promotional tool for building trust and motivating members to take actions such as attending a conference or seminar, purchasing a product, etc. This article aims to explore how Indian library networks are successfully adopting and leveraging newsletters to provide timely and reliable trustworthy news before various social tools and technological tools have been introduced and how LIS professionals are utilizing them to update themselves. Newsletters from INFLIBNET, DELNET, and ADINET are studied and evaluated on various parameters, and the findings have been presented in this article.
On the Punctuation of <i>Juliana</i> 114b

Journal Article On the Punctuation of Juliana 114b Get access Jannis Jakobs Jannis Jakobs Heinrich Heine University Düsseldorf, Germany Email: Jannis.Jakobs@hhu.de https://orcid.org/0000-0001-8441-7548 Search for other works by this author on: Oxford Academic Google Scholar Notes and Queries, Volume 70, Issue 1, March 2023, Pages 2–4, https://doi.org/10.1093/notesj/gjad004 Published: 17 February 2023
Web-Based Cash Receipt Accounting System Using the Direct Posting Method (Case Study: SD Putra Nirmala - Cirebon)

The purpose of this study was to make an application for cash receipts for paying tuition fees, building fees and uniform payments at Putra Nirmala Elementary School, Cirebon City. The research method used is the direct posting method, in which cash receipts transactions are recorded directly in the general journal and ledger. This research topic is very important for the school, because it can help manage cash inflows in a computerized manner. The result of this study is the establishment of a cash receipts application that can help schools by using the direct post bookkeeping method. By making this application, it can help the management of Putra Nirmala Elementary School, Cirebon City, in managing cash inflows from paying tuition fees, building fees and uniform payments
Online Child Sex Offenders: Challenges and Counter-Measures

The aim of this article is straightforward and practical: by utilising elements of routine activity and rational choice theories, it explains how online child sex offenders use the Internet and what can be done to counter the challenge they pose. The discussion opens with definitions of child pornography, child erotica, child exploitation material and paedophilia. Its main objective is to promote online protection of children. It is explained that online child sex offenders and paedophiles use the Internet to create virtual communities; collect, share and trade images; tempt, seduce and groom children. Then the article explores what has been done in the Western world to combat those criminal activities. Successful campaigns against child pornography require shared responsibility and effort by parents, Internet Service Providers (ISPs), legal enforcement and the international community at large.
Detection and Prevention of Phishing Attacks in DDoS Using Collaborative Learning Algorithm

Abstract: Threat to cyber security are significant in providing phishing attacks with huge industry area with anti phishing simulations. Thus it minimizes risk taken infuses attacks with phishing. Large scale phishing training participates various simulations based on phishing attacks. In our proposed system phishing attacks will be analysed based on its credentials and simulated with training data results. They are developed along with data driven models for classification of users perceiving such phishing attacks. Besides analyzation of results based on huge attacks on phishing and training them against those phishing data users most clicking behaviour will be monitored regularly. Cyber phishing attacks in DDoS are significant in IoT are threat in internet environment and predicts attacks through collaborative learning algorithm. Attacked systems connected through onine processes malicious actions without any authorized or authenticated attacks. Further phishing techniques will be predicted using training data and updated on machine learning using Collaborative Learning Algorithm.
Environmental Awareness Education Campaign through Videography at the Rawajati Waste Bank in South Jakarta

Indonesia’s capital, Jakarta, has serious problems with the increasing volume of waste in garbage collection sites The use of videos in an educational campaign in the Waste Bank program has become one of the means for the community to participate in the fight against waste, especially in Jakarta. This study aimed to determine the role of videography in educating audiences, especially millennials, about the Waste Bank on social media. This study used a qualitative descriptive research method. The result of the research was to create a video of the Waste Bank with persuasive and effective messages to be shared on social networks so they can be understood effectively.&#x0D; Keywords: videography, education campaign, waste bank, millennials, Jakarta.
Introduction

Before we start writing the code for a mobile application (and in general, for any software), it is important to determine the structure and architecture of the project. This will help us avoid developing an application that works, but whose code is difficult to maintain. Before diving into specific patterns for iOS apps, it's important to understand what software architecture is and why it's needed, as well as how to choose the best pattern for a project.
Experimental Research on Introducing Skills Competition-Based Content into Classroom Teaching

The goal of talent training in vocational education is to deliver skilled talents to the society. Skills competitions act as a platform for students to showcase their abilities. In this paper, skills competition-related content was incorporated into the teaching of the Engineering Mechanics course. The teaching experiment was carried out in a class of 40 students and the teaching quality was evaluated in the form of questionnaires. The results show that skills competitions can draw students’ attention and improve the quality of education. Therefore, more skills competitions should be organized to improve teaching quality.
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering

Inferring 3D human pose from 2D images is a challenging and long-standing problem in the field of computer vision with many applications including motion capture, virtual reality, surveillance or gait analysis for sports and medicine. We present preliminary results for a method to estimate 3D pose from 2D video containing a single person and a static background without the need for any manual landmark annotations. We achieve this by formulating a simple yet effective self-supervision task: our model is required to reconstruct a random frame of a video given a frame from another timepoint and a rendered image of a transformed human shape template. Crucially for optimisation, our ray casting based rendering pipeline is fully differentiable, enabling end to end training solely based on the reconstruction task.
The Behavioral Analysis in the Critical Infrastructure (The Influence of Covid-19)

The aim of the current article is to outline the behavioural analysis as an instrument for improvement of the security, emphasizing on its role in the critical infrastructure locations. Based on documentary and comparative analysis various technologies and programs based on behavioral analysis are being presented, and in this way, illustrates not only their operating mechanisms and benefits but also the development trends in this sphere. Multiple and diverse challenges for the behavioral analysis caused by the impact of the Covid-19 crisis are also presented. Possible solutions for overcoming them are proposed taking into an account the different financial and resource factors.
DEEP LEARNING MODELS OF THE MANIPULATOR ON THE RASPBERRY PI PLATFORM FOR OBJECTS FINDING

This article analyzed basic concepts of convolutional neural network construction.The modern deep learning architectures for solving image classification tasks describes.The prototype manipulator for the object finding realizes by using the Raspberry Pi 4 platform and TFLite framework.The garbage-finding manipulator prototype realizes.
Social Engineering threats and Countermeasures in SHCT

Computers have become such a big part of everyday life everywhere - Computer security and threat prevention is essential for individuals and organizations. And organizations are taking computer security more seriously to protect their information systems at different levels starting from physical, Personal, procedural and/up to technical level. The measures at all these levels have made the business world more effective (but not completely) at blocking inside and outside threats. These measures have made it increasingly difficult for hackers or viruses to penetrate systems. The threat to the organization is more from insiders than outsiders, in this paper we will analyze what are the internal threats in organizations, why are we defenseless and allow threats to realize and the best practices to secure our organization�s data from inside threats