Reviewerly/exHarmony huggingface dataset:
PANE: scalable and effective attributed network embedding

Given a graph G where each node is associated with a set of attributes, attributed network embedding (ANE) maps each node v in G to a compact vector Xv, which can be used in downstream machine learning tasks. Ideally, Xv should capture node v's affinity to each attribute, which considers not only v's own attribute associations, but also those of its connected nodes along edges in G. It is challenging to obtain high-utility embeddings that enable accurate predictions; scaling effective ANE computation to massive graphs pushes the difficulty of the problem to a whole new level. Existing solutions largely fail on such graphs, leading to prohibitive costs, low-quality embeddings, or both. This paper proposes PANE, an effective and scalable approach to ANE computation for massive graphs that achieves state-of-the-art result quality on multiple benchmark datasets. PANE obtains high scalability and effectiveness through 3 main algorithmic designs. First, it formulates the learning objective based on a novel random walk model for attributed networks. Second, PANE includes a highly efficient solver for the above optimization problem, whose key module is a carefully designed initialization of the embeddings, which drastically reduces the number of iterations required to converge. Finally, PANE utilizes multi-core CPUs through non-trivial parallelization of the above solver, which achieves scalability while retaining the high quality of the resulting embeddings. The performance of PANE depends upon the number of attributes in the input network. To handle large networks with numerous attributes, we further extend PANE to PANE++. Extensive experiments, comparing 10 existing approaches on 8 real datasets, demonstrate that PANE and PANE++ consistently outperform all existing methods in terms of result quality, while being orders of magnitude faster.
VAQUERO: A Scratchpad-based Vector Accelerator for Query Processing

Database Management Systems (DBMS) have be-come an essential tool for industry and research and are often a significant component of data centers. There have been many efforts to accelerate DBMS application performance. One of the most explored techniques is the use of vector processing. Unfortunately, conventional vector architectures have not been able to exploit the full potential of DBMS acceleration.In this paper, we present VAQUERO, our Scratchpad-based Vector Accelerator for QUEry pROcessing. VAQUERO improves the efficiency of vector architectures for DBMS operations such as data aggregation and hash joins featuring lookup tables. Lookup tables are significant contributors to the performance bottlenecks in DBMS processing suffering from insufficient ISA support in the form of scatter-gather instructions. VAQUERO introduces a novel Advanced Scratchpad Memory specifically designed with two mapping modes — direct- and associative-mode. These map-ping modes enable VAQUERO to accelerate real-world databases with workload sizes that significantly exceed the scratchpad memory capacity. Additionally, the associative-mode allows to use VAQUERO with DBMS operators that use hashed keys, e.g. hash-join and hash-aggregate. VAQUERO has been designed considering general DBMS algorithm requirements instead of being based on a particular database organization. For this reason, VAQUERO is capable to accelerate DBMS operators for both row- and column-oriented databases.In this paper, we evaluate the efficiency of VAQUERO using two highly optimized popular open-source DBMS, namely the row-based PostgreSQL and column-based MonetDB. We imple-mented VAQUERO at the RTL level and prototype it, by performing Place&Route, at the 7nm technology node. VAQUERO incurs a modest 0.15% area overhead compared with an Intel Ice Lake processor. Our evaluation shows that VAQUERO significantly outperforms PostgreSQL and MonetDB by 2.09× and 3.32× respectively, when processing operators and queries from the TPC-H benchmark.
Some New Challenges of Cybercrime and the Reason for Its Outdated Regulations

Purpose – The purpose of the research is to show what cybercrime is and how the arsenal of cybercriminals has evolved and legal regulations that exist today no longer respond to the challenges that would make the fight against cybercrime effective. Design/methodology/approach – The author of the research searched for the latest legal and multidisciplinary literature on the issue of cybercrime. Using various scientific methods, the mentioned literature was analyzed and summarized to present the essence and problems of fighting against cybercrime. Findings – In the conditions of modern technological development, there are many benefits along with negative facts. Cyberspace is not a safe place for the majority of the population. During the search process, it appeared that, with the arrival of each new day, the arsenal of cybercriminals is getting richer, to which law enforcement agencies do not have an appropriate response. Consequently, the process of fighting cybercrime becomes difficult due to outdated legal regulations. Research limitations/implications – The research examined the latest opinions that are being debated in international legal circles. The problems that are on the agenda and which are important to solve have appeared. Accordingly, the paper offers the latest ways to correct the current situation, make recommendations and solve existing problems. Originality/value – Cyberspace is the most important space for many people, also for private and public structures. Solving the current issues on the agenda is important to make working in cyberspace safe for each person and organization.
Development of Structure Monitoring Technique by Vibration Mode Identification Using Digital Image Correlation and Compressive Sensing

By combining digital image correlation method and compressed sensing, we propose a low-cost method for identifying high-frequency vibration modes without the use of a high-speed camera. Sub-Nyquist sampling was achieved by randomizing the timing of strobe flashes. The applicability of the method was verified through vibration tests on an aluminum plate using bandpass noise.
A Novel Approach to Visual Linguistics by Assessing Multi-level Language Substructures

A VQA system takes a picture and an open-ended query in natural language related to the image as inputs and outputs a response in natural language. In this paper, we aim to comprehend numerous methods devised by researchers and compare their performance on various datasets. This includes several methods including Bilinear models, Attention and Non-Attention models, Multimodal approach, etc. Additionally, we have proposed a Hybrid Co-Attention model that addresses visual and linguistic features simultaneously over different levels to find semantic overlaps between them. We were able to get an accuracy that is similar to state-of-the-art models by altering only the text-level features, i.e., training accuracy of 57.02% and validation accuracy of 42.78%. We also got top 5 accuracy of 93.47% on the training set and 77.67% on the validation dataset.
Analysis of Mineral Characteristics of Leang Lonrong Cave Ornaments in The Pangkep Karst Area, South Sulawesi, Bantimurung Bulusaraung National Park

Research has been carried out on the mineral content of caves in the Leang Lonrong Pangkep Karst Area with experimental research methods. The purposes of this study are to analyze the characteristics of Leang Lonrong Cave, explain the mineral content of the Leang Lonrong Cave ornaments, and show the presence of RRE elements contained in the Leang Lonrong Cave ornaments. The characteristic data of the cave was obtained from direct observations, and measurements in the Leang Lonrong cave in the form of cave dimension data, namely the length of the cave with a size of ±150 meters, the height of the mouth of the cave 1.91 meters and the length of the mouth of the cave 6.40 meters and the intensity of light in the cave obtained 0 lux with a temperature of 26˚ C and 88% humidity. The data were analyzed descriptively and qualitatively using match software, namely X-Ray Diffraction data obtained from sample characterization using X-Ray Diffraction tools on cave ornaments. Dominated by carbon elements marked with white ornaments, the analysis results were obtained. It is known that the mineral content in the cave ornament samples is impure Calcite derived from the dissolution of limestone in karst rocks. From the statement, it is known that each ornament contains Calcite. The results of the descriptive analysis in the form of temperature, humidity, light intensity, fauna and flora, and cave ornaments. The results of the descriptive study in the form of temperature, humidity, light intensity, fauna and flora, and cave ornaments. From the qualitative results obtained, the mineral content of Calcite is the most mineral constituent of cave ornaments, and received rare earth metal elements (RRE) in the minerals of each stalactite ornament in the form of elements Yb (ytterbium), Ce (cerium), and La (Lanthanide)
Characteristics of Teacher Support in Online Learning Environments Based on the Learners' Perspective

This study focuses on the characteristics of teacher support perceived by students in an online learning environment.The findings demonstrate that the characteristics of teacher support in online learning environments differ significantly from those in face-to-face classrooms.In terms of autonomous support, online classrooms outperform face-to-face classes.Furthermore, students in a high-scoring class experience more teacher support.
The author’s methodology in music pedagogy: a concept, distinctive characteristics and personalities

The paper deals with the analysis of the concepts: methodology, authors technique and teaching technology. The authors methodology in music pedagogy is revealed through the concepts: authors concept, teaching system, innovative activity of the teacher, a set of non-standard methods, techniques and teaching aids, which are aimed at developing musical abilities, revealing the creative potential of students, taking into account the personality of the teacher. The paper contains conclusions about the purpose of the authors methodology, about its structural representation as a sequence of actions aimed at achieving the goal, about the content of specific methods and techniques, about the criteria and indicators of its effectiveness to determine the conditions that promote or limit its application. The paper presents brief characteristics of the authors methods in music pedagogy: the authors method of using musical instruments for the development of musical hearing among preschool children (E.I. Zotkina); the authors technique (A.A. Piliciauskas), which uses a method of understanding the intoned meaning of a work and a method of understanding a personal meaning of a musical composition; the authors technique (K.A. Martinsen), characterized by the transition from a technical education to an internal one and from the internal one to a private one; the authors technique SITO (V.G. Razhnikova); the authors technique Cheryl Porter Cheryl Porter vocal method.
Solar Energy Prediction System

Solar power will become even more affordable in the coming years thanks to advancements in technology. It's possible that solar energy will be the most important source of energy for the production of electricity in a significant portion of the world by the year 2030. Climate change and the environment will also benefit from this. In this paper, we implement the SVM method to achieve the quick and accurate real-time prediction of solar radiation may be, in contrast to the majority of existing research works on solar radiation prediction, which largely focus on the offline solar radiation prediction.
Perception of and Attitude to Marketing of Library and Information Products and Services by Librarians in Public University Libraries in Bayelsa and Rivers States of Nigeria

The study investigated perception of and attitude to marketing of library and information products and services by librarians in public university libraries in Bayelsa and Rivers States of Nigeria. The study adopted descriptive survey research design. The population of the study comprised eighty-one (81) librarians. However, sixty-nine librarians participated in the study. Survey Monkey was used for data collection. Eighty-one soft copies of the questionnaire were distributed to the librarians via their email addresses. Sixty-nine questionnaires were properly completed by the librarians and returned, resulting in a response rate of 85.19%. The data collected were transferred into Google sheets and analyzed by means of weighted mean and standard deviation. The findings revealed that the extent to which the librarians marketed library and information products and services was low; the librarians had widely-varied positive perceptions about marketing of library and information products and services, while the librarians’ displayed virtually same negative attitude towards marketing of library and information products and services. The study concluded that a large number of librarians in public university libraries in Bayelsa and Rivers States of Nigeria attach importance to marketing of library and information products and services, yet many librarians have unfavorable approach to it. The study recommended that the librarians should utilize social media and promotional strategies to market library and information products and services in university libraries. It also suggested that the librarians should cultivate a favourable attitude towards the process.
Comparison of Erythrocyte Sedimentation Rate by Vision Principle and Westergren Method

Background: Erythrocyte sedimentation rate is a common test used as an assessment tool for inflammation since many years. Aim: To compare erythrocyte sedimentation rate by automated ESR analyzer working on vision principle against conventional manual Westergren method. Study design: Cross sectional study. Methodology: A total number of 120 samples were taken from routine hospital patients whom ESR was requested through non-probability consecutive sampling following ethical approval. Samples were subjected to ESR estimation by manual Westergren and automated methods. Data was analyzed by SPSS version 22. Independent sample t-test used to compare erythrocyte sedimentation rate by automated ESR analyzer working on vision principle against conventional manual Westergren method with p-value ≤0.05 as significant. Pearson correlation was also applied. Results: Mean ± SD for Manual Westergren method was 39.37±25.486 and Automated Vision principle was 25.83±21.015. Levene’s Test for Equality of Variances have p-values for ESR in patients with Manual Westergren method &amp; Automated Vision principle was 0.018 with F-value 5.670. There was a non-linear relationship between the two methods (P value &lt; 0.01). Practical Implication: This study helped in exploring reliability of different ESR estimation methods as ESR results have notable impact on patient diagnosis and follow-up. With increasing demands and burden of patients in labs, new reliable and quick techniques for ESR determination are need of hour. Conclusion: It was concluded that automated methods showed good correlation to manual Westergren method thus are reliable for ESR estimation. However, manual Westergren remained gold standard procedure for ESR estimation. Keywords: Erythrocyte Sedimentation Rate, Reliability, Westergren Method and Automated Method.
Methods to improve the effectiveness and quality of teaching the disciplines of the architectural and artistic profile (experience of Libya)

The article analyses the methods of teaching the disciplines of the architectural and artistic profile in Libyan higher educational institutions. The research objectives address the close-open survey that outlines the methods currently used in the educational process, selection of the most efficient teaching strategies, and development of the recommendations for the teachers of architectural and artistic disciplines to use combined teaching methodology. For the study, we analyzed 30 recent scientific papers devoted to the problems of the organization of architectural education in Libyan higher educational institutions and abroad including China, Spain, Turkey, Egypt, India, Pakistan, Poland, and UK. We applied a number of research methods including interdisciplinary literature review, generalization of research results on the existing requirements to architectural education and the peculiarities of its organization. Also, we used teachers survey with close-open ended questions to collect objective data on teaching methodology. The survey was conducted among 187 faculty members with different teaching experience in different Libyan higher educational institutions that train future architects during one academic year. All of them participated in the survey voluntarily and answered the questions objectively and openly to further elaborate the appropriate recommendations for the enhancement of educational process. The findings demonstrate that effective and qualitative educational process requires combination of different teaching strategies and methods. The use of combined methodology depends on many factors such as students’ needs, learning objectives, peculiarities of educational environment, employer’s requirements, and pedagogical mastery of teachers. The research proves that the effective teaching methods are productive, informative, satisfying, interactive, innovative; they must consider interdisciplinary links and contribute to improvement of integrated professional competency as well as soft skills. The research resulted in elaboration of recommendations for the teachers to apply combined methodology in teaching the disciplines of the architectural and artistic profile
Innovative and cultural transformations of educational environment of the future: digitalization, barriers for traditional learning

The purpose of the article is to characterize innovative and cultural transformations of the educational environment on the principles of digitalization and the existing barriers. The objectives of the study were to find out the use of digital tools and to outline the barriers hindering their implementation; to describe the efficient algorithm of implementation of innovative and cultural transformations. Within the framework of research, one analyzed 31 works devoted to the problems of transformations of educational environment and its digitalization from 2018 to 2022. As a result, theoretical research is linked to 5 articles. 4 articles described the prospects of future development of education under digital changes, and 6 studies were oriented towards the impact of COVID on digitalization. Also, the course of transformations in developed (USA, Finland, Norway, and Turkey) and developing countries (Ukraine, Pakistan, India, Bangladesh, Indonesia, Thailand, China) was analyzed. A systematic literature review and synthesis of conceptual research results on the problem were used. The case study to describe the peculiarities of implementation of digital technologies and to identify barriers of traditional learning within the educational process was carried out. To collect and process the data an interviewing, a pedagogical observation, an in-depth review, an open-ended survey, and methods of statistical analysis were used. The results evaluated that all the participants of the survey consider digitalization an effective innovative transformation and both teachers and learners have similar preference in using various digital tools. Also, the study revealed that teachers and learners face a number of barriers that complicate the educational process. To enhance the efficiency of educational environment and to achieve pedagogical intentions one outlined the measures to remove the barriers identified. The study showed that a barrier-free digital educational environment could enhance the efficiency of education of the future where learners will be prepared to various challenges of information society.
Integrated Information Security Policy Model for Saudi Arabia Organizations

Information Security Policy (ISP) is an important domain used to preserve the confidentiality, integrity, and availability of sensitive data.However, it is an ambiguous and diverse domain due to the diversity of security policies and the multiplicity nature of organization systems.Numerous specific and generic ISP models have been offered for several purposes.The offered models have numerous redundant procedures, concepts, activities, processes, and tasks that make the ASP domain unorganized, unstructured, and ambiguous among domain experts and users.Thus, the structured and integrated model to simplify sharing, managing, and reusing ISP activities and tasks is still missing.This study applied the design science method to develop a unified model for the ISP domain called the Integrated Information Security Policy Model (IISPM).This aims to identify, recognize, extract, and match different ISP processes, concepts, activities, and tasks from different ISP models in a developed IISPM, thus, allowing domain experts and users to derive/instantiate solution models easily.The developed IISPM consists of six main abstract processes: Information security policy process, information security awareness process, access control process, observing the process, agreement process, and plan process.Each introduced process has specific security practices.The output showed that IISPM assists domain experts and users to create their solution models based on their requirements.
Media Pembelajaran Computer Base Training (CBT) Menggunakan Aplikasi Adobe Animate CC Mata Kuliah Sistem Manajemen Keselamatan dan Kesehatan Kerja

Computer-based training is a teaching material that can support distance lectures that demand more interesting, attractive, and efficient media. The creation of CBT learning media is carried out using the research and development (R&amp;D) method, which involves making and testing or verifying applications and testing the applications' effectiveness. The development and manufacture of CBT media products uses the Adobe Animate CC platform, and then a feasibility test is carried out using a validation questionnaire using a Likert scale that will be carried out by the validator. Evaluation of educational media Products to 54 respondents and processing the results of the assessment from users obtained very good results with a value of 3.96 and a percentage of 79.3%, with details of the assessment of each sub-element of the software engineering aspect of 92%, the learning design aspect of 86%, and the visual communication aspect of 48%. The visual communication aspect has the lowest assessment result from the other two aspects, with three of its subaspects falling into the inappropriate category, namely audio, moving media, and interactive layout. The results of this research will become an interactive teaching platform for PPI lecturers in 2022.Keyword: Covid-19, Media, CBT, K3, Annimate CC