Reviewerly/exHarmony huggingface dataset:
LOCARD: Lawful evidence cOllecting and Continuity plAtfoRm Development

Digital evidence is currently an integral part of criminal investiga-tions, and not confined to pure cybercrime cases. Criminal behaviours like fi-nancial frauds, intellectual property theft, industrial espionage, and terrorist networks leverage the Internet and cyberspace. The very ubiquity of digital de-vices in modern society makes digital evidence extremely relevant for investi-gations about all kinds of criminal behaviour like murder, contraband activities, and people smuggling, to name a few. Due to its nature, the use of digital evidence in a court of law has always been challenging. It is critical that it should be accompanied by a proper chain of cus-tody, guaranteeing its source and integrity. LOCARD aims to provide a holistic platform for chain of custody assurance along the forensic workflow, a trusted distributed platform allowing the storage of digital evidence metadata in a blockchain. Each node of LOCARD will be able to independently set its own permission policies and to selectively share access to digital evidence with other nodes when deemed necessary and upon proper authorization through fine-grained policies. LOCARD's modularity will also allow diverse actors to tailor the platform to their specific needs and role in the digital forensic workflow, from preparation and readiness, to collection, to analysis and reporting.
ROGA: Random Over-sampling Based on Genetic Algorithm

When using machine learning to solve practical tasks, we often face the problem of class imbalance. Unbalanced classes will cause the model to generate preferences during the learning process, thereby ignoring classes with fewer samples. The oversampling algorithm achieves the purpose of balancing the difference in quantity by generating a minority of samples. The quality of the artificial samples determines the impact of the oversampling algorithm on model training. Therefore, a challenge of the oversampling algorithm is how to find a suitable sample generation space. However, too strong conditional constraints can make the generated samples as non-noise points as possible, but at the same time they also limit the search space of the generated samples, which is not conducive to the discovery of better-quality new samples. Therefore, based on this problem, we propose an oversampling algorithm ROGA based on genetic algorithm. Based on random sampling, new samples are gradually generated and the samples that may become noise are filtered out. ROGA can ensure that the sample generation space is as wide as possible, and it can also reduce the noise samples generated. By verifying on multiple datasets, ROGA can achieve a good result.
Ranking Web of Universities: Is Webometrics a Reliable Academic Ranking?

Global university rankings continue to gain growing interest and have high visibility from all stakeholders. Of these, Webometrics Ranking (WR) faces many criticisms about its function. Some people believe WR evaluates only the websites of universities but not their global performance and impact as mentioned by WR authors. This stimulates us to examine the idea of using WR as a reliable academic ranking for the world universities. To test this hypothesis, we apply the WR results with two widely accepted indexes, i.e., the global university rankings and the bibliometrics. Therefore, the WR ranking of the Top 100 institutions are correlated with the corresponding values of six world ranking systems’ 2015 edition (ARWU, USNWR, QS, THE, NTU and URAP) that commonly accepted to evaluate the academic performance of the university, as well as with the objectively bibliometric indicators gathered from the Web of Science (WOS) InCites TM - Thomson Reuters. The findings revealed that the WR results provide a good correlation with both ranking systems’ results and with 12 bibliometric variables namely: WOS Documents, Times Cited, Citation Impact (CI), Citation Impact: Category Normalized (CNCI), Citation Impact: Journal Normalized (JNCI), Impact Relative to World, % of Top 1% Documents, % of Top 10% Documents, Highly Cited Papers, h-index, International Collaborations, and % Industry Collaborations. The consistency between WR and the studied six rankings increases with increasing the weight percent of the research or bibliometric indicators in these six global rankings. Moreover, the consistency between WR and survey-based rankings (USNWR, THE and QS) increases with decreasing the weight of the subjective reputation survey indicators. The North American, especially USA universities are characterized by the extremely high visibility in WR as well as in the studied seven global rankings. Thus, web-based indicators ranking (WR) offers results of comparable and similar quality to those of the six major global university rankings. Accordingly, they have the capability to rank institutional academic performance. Moreover, the reliability could be enhanced if each university has only one web-domain that accurately reflects its actual performance and activity. We recommend all institutions to apply all ranking systems together since their criteria and indicators complement each other and can form a comprehensive index for covering various HEIs activities/functions worldwide.
Sentiment analysis research: A scientometrics assessment of global publications for the period 2003-2020

This study has sought to evaluate the global sentiment analysis research (14025 records) on quantitative and qualitative metrics to understand the current status of research in the subject at global, national, institutional, and individual author level. The data for the study was sourced from the Scopus database covering the period 2003-2020. The global research in the subject registered an 81.15% annual average growth and averaged 11.91 citations per paper. India, China, and USA lead the global ranking of the top 10 most productive countries, with (18.37%, 17.71%, and 13.36%) respectively as their global publications share. The study identifies the most productive and most impactful research organizations and authors in the subject, profiles the highly cited papers, the share of international collaborative papers and the most productive source journals, and the most productive organizations as well as the leading authors. The study concludes that international collaboration research contributes significantly to the quality of research in sentiment analysis studies.
Exploration of the Teaching Reform of Road Survey and Design

Road engineering is not only related to people’s daily life, but also related to the development of the country’s overall economic construction. In the process of road engineering construction, road survey and design is very important, which is directly related to the overall rationality, advancement and safety of road engineering. In recent years, colleges and universities in our country have attached great importance to the cultivation of professionals in road survey and design, and have given great support. However, in the actual teaching process, teachers still have some space that needs to be improved urgently. This paper analyzes the current situation of the Road Survey and Design teaching and discusses the path of reform. It is hoped that by improving the teaching effectiveness of road survey and design courses, more excellent road survey and design workers will be provided for social development in the new period.
Practical Study on Small-medium Enterprises Using Information Communication Technology

The information divide can evolve into unequal distribution of social resources and serious confrontation. Despite the most influential governmental authorities of the world are attempting to address the information divide phenomenon. The divide, however, still exists, and particularly in small and medium enterprises (SMEs) facing strong competition from large-scale enterprises during global recession in the pandemic period. This study, which is based on the viewpoint of profit earning, examines how SMEs can improve their ability to straddle an information divide effort using information communication technology (ICT) and policy supports. The findings and implications of this study provide insights for later research.
MENINGKATKAN KEMAMPUAN PEMAHAMAN KONSEP BILANGAN ANAK USIA DINI KELOMPOK B MELALUI METODE OPEN ENDED

In this study the researcher concluded the results of the two groups studied, namely the experimental group and the control group. In the experimental class the researchers gave treatments using the open-ended method, while for the control group the researchers provided treatments using ordinary learning using children's worksheets (LKA). The study began with conducting a pretest and posttest in both groups. The results of this study are that the open-ended method can develop children's abilities in recognizing the concept of numbers (Rohmalina et al., 2021). Based on the results of the independent t-test, the posttest data shows that the p value is 0.01. And 0.01 <0.05 so that Ho is rejected and Ha is accepted, thus the posttest results (after the treatment) are stated to have increased after the treatment was carried out using the open-ended method.
PENGEMBANGAN BUKU CERITA MATEMATIKA PADA KELAS VII SMP DALAM MATERI PERBANDINGAN

This study aims to determine the feasibility of developing an mathematics story book. The method used in this study is "Research and Development". Meanwhile, the data collection technique in this study was a validator questionnaire from the experts, then quantitative and qualitative data were analyzed descriptively.Based on the results of research and development that has been done, it shows that: mathematics story books get a very decent percentage value. This percentage is obtained from the results of the validation of each expert i.e. Material experts with a percentage of 80.92%, experts in presenting material with a percentage of 79.16%, media experts giving a score of 93.75%, and linguists giving a score of 81.25%. So it can be concluded that the average value of the percentage of experts is in the very feasible category with a percentage value of 83.77%. Based on the explanation above, it can be concluded that the electronic mathematics storybook is very suitable to be used as a learning tool in class VII SMP in comparison material.&#x0D; Keywords: development, mathematics storybook, comparison.
Social Media Aid to Teaching and Learning in the COVID-19 New Normal: A Case of Nigeria

The Education sector has suffered setbacks following the Covid-19 pandemic ravaging the world. With the current situation, students can no longer meet in the four walls of a classroom following protective rules and guidelines stipulated by governments and health authorities, the ”new normal”. Academic sessions are put to a total halt, a situation that may alter programmes as may have never been experienced. The social media have in recent times been used to bring people close. With the advent of platforms like Facebook, Instagram and Whatsapp to mention a few, people can now network as well as communicate using vast multimedia technologies. Applications have become scalable such that they can run on different platforms like Personal Computers, mobile devices as well as various operating systems thereby making them usable and accessible by many. In this review we study the developments with the view to extract the benefits and issues in teaching and learning during this alien “new normal”.
LibGuides: Remote Course Support from University Libraries: Honors and University College

A Guide for University faculty to the library resources from Texas State University Libraries to support remote teaching.
دور إدارة الجودة الشاملة في تحسين أداء العاملين

المستخلصتناولت هذه الدراسة دور إدارة الجودة الشاملة في تحسين ورفع أداء العاملين في الشركة السودانية لخطوط أنابيب البترول المحدودة ومعرفة مدى التزام الإدارة العليا بدورها في تعزيز مفهوم الجودة الشاملة في الشركة، والتعرف على طريقة قياس أداء العاملين. اعتمدت الدراسة على المنهج الوصفي، والمقابلات الشخصية، والمنهج التحليلي حيث تم استخدام استبانة صممت خصيصا لذلك كأداء لجمع البيانات. يتكون مجتمع الدراسة من منتسبي الشركة ولقد تم اختيار عينة منهم عددها 100 شخص. استخدمت الدراسة لتحليل البيانات برامج التحليل الإحصائي (SPSS)   وأهم النتائج التي توصلت إليها الدراسة أن إدارة الجودة الشاملة تؤثر على تحسين أداء العاملين. وأيضا أن التزام الإدارة والتحسين المستمر والقياس لهم أثر إيجابي علي أداء العاملين. في ضوء النتائج والخلاصات التي أسفرت عنها الدراسة فإنه على الإدارة العليا بالشركة الدعم والمساندة حتى تطبق الأبعاد المختلفة للجودة سعيا لتحسين الأداء مع ضرورة إشراك العاملين في اتخاذ القرارات المختلفة بالجودة لما له من انعكاس كبير على الأداء.Abstract         This study dealt with the role of Total Quality Management in improving and raising the performance of the employees of the Sudanese Company for Petroleum Pipelines Limited, knowing the extent of the commitment of the top management to its role in promoting the concept of total quality in the company, and identifying the method of measuring the performance of employees. The study relied on the descriptive method, personal interviews, and the analytical method, whereby a specially designed questionnaire was used as a performance for data collection. The study population consists of the employees of the company, where a sample of 100 of them was selected. The study used statistical analysis programs (SPSS)   to analyze the data. The most important findings of the study are that Total Quality Management affects the improvement of employees’performance. Also, management commitment, continuous improvement and measurement have a positive impact on employee performance. In light of the results and conclusions of the study, the top management of the company must support in order to apply the different dimensions of quality to improve performance, and the need to involve workers in making different decisions with quality because of its great impact on performance.
Industry of Anonymity: Inside the Business of Cybercrime. By Jonathan Lusthaus (Harvard University Press, 2018, 289pp. £31.95 hb)

Industry of Anonymity: Inside the Business of Cybercrime. By Jonathan Lusthaus (Harvard University Press, 2018, 289pp. £31.95 hb) Industry of Anonymity: Inside the Business of Cybercrime. By Jonathan Lusthaus ( Harvard University Press, 2018, 289pp. £31.95 hb) Lisa Sugiura Lisa Sugiura University of Portsmouth, UK Search for other works by this author on: Oxford Academic Google Scholar The British Journal of Criminology, Volume 61, Issue 5, September 2021, Pages 1430–1432, https://doi.org/10.1093/bjc/azab011 Published: 23 February 2021 Article history Received: 20 January 2021 Accepted: 20 January 2021 Published: 23 February 2021
RANCANG BANGUN INTEGRASI TOMBOL EKSPOSI DENGAN LAMPU TANDA RADIASI DAN PENGUNCI PINTU OTOMATIS

Background: Generally the use of radiation sign lamp in radiology department hospitals at Jabodetabek area is still manual by pressing button the switch on or off, also the door is opened when the radiation sign lamp are on, although there is no x-ray examination in the room. This often becomes ambiguousby the public. This study aims to minimize ambiguous in order to improve radiation safety by build a miniature automatic integration system with an exposure button with a radiation sign lamp and automatic door lock for indicator radiation safety on a radiology department hospital.&#x0D; Method: This study uses an experimental research method, by build hardware on a miniature that resembles a radiology examination room, then tested the usage function with 3 radiographers as respondents by providing a function test form and the results processes using the formula average.&#x0D; Results: Respondents' answers with an average result of 3.6 showed that this miniature design was successful / able to illustrate the efforts of radiation safety and radiation protection by means of automatic work that was able to minimize the ambiguous of people's understanding of radiation signaling lamps and radiological doors.&#x0D;
Implementing the GraphQL Interface on top of a Graph Database

Since becoming an open source project in 2015, GraphQL has gained popularity as it is used as a query language from front-end to back-end, ensuring that no over-fetching or under-fetching is perfor ...
Credibility of digital influencers on YouTube and Instagram

This study explores the phenomenon and influence of beauty influencers on Instagram and YouTube through the analysis of top micro-celebrity profiles and surveys with the followers.YouTube was identified as the most influential for those aged 18-21 and less powerful for older target group, suggesting beauty reference group influence decreases as the age increases.An exploration into credibility of beauty gurus revealed trustworthiness as the most important factor determining credibility.Quality of images and professionalism of profiles is also crucial in reliability of profiles on these platforms.
THE USE OF READING STORYBOOK ON CHILDREN’S VOCABULARY MASTERY

This article research is about to see the use of English storybook, to describe how storybook is being read in the learning process. The method used is classroom activity especially in student’s responses. The data collected through observation and interview. The observation is about the learning process between teacher and students in the use of reading storybook on children’s vocabulary mastery and the interview is about the teacher’s point of view about the use of reading storybook on children’s vocabulary mastery. The research used descriptive analysis. The process to analyze the data is by observing the student and teacher learning process in the class when the teacher reading storybook through learning process recording done. There are five aspects used to know the student’s responses in the classroom; academic aspects, aspects of thoughts, skill aspects, attitude aspects, and works of habit. The research findings show that children’s storybook can increase children’s vocabulary mastery.
Learning Private Representations with Focal Entropy

How can we learn a representation with good predictive power while preserving user privacy? We present an adversarial representation learning method to sanitize sensitive content from the representation in an adversarial fashion. Specifically, we propose focal entropy - a variant of entropy embedded in an adversarial representation learning setting to leverage privacy sanitization. Focal entropy enforces maximum uncertainty in terms of confusion on the subset of privacy-related similar classes, separated from the dissimilar ones. As such, our proposed sanitization method yields deep sanitization of private features yet is conceptually simple and empirically powerful. We showcase feasibility in terms of classification of facial attributes and identity on the CelebA dataset as well as CIFAR-100. The results suggest that private components can be removed reliably.
Expectations of academics from the 21st century academic library

The study investigated the needs and expectations of academics from two academic libraries. To explore this broad question, the study sought to determine the scholarly communication, research data management, collaboration, teaching and learning, and new pedagogical needs and expectations of academics. The study also identified the social web tools used by academics for maintaining their research. The literature review is anchored in the study’s objectives. A quantitative approach that deployed a web-based questionnaire is adopted. Data was collected from a combined sample of 227 academics and the response rate was 60%. The findings reinforce established studies by highlighting that academics expect their libraries to provide scholarly communication support, online information literacy sessions, teaching and learning support, and co-hosting workshops, co-teaching information literacy, co-deploying new technologies and co-publishing. In spite of these expectations, the Zimbabwean academic library is yet to fulfil its expected role of providing the necessary services and resources to academics. It is recommended that academic libraries in Zimbabwe find the means to address the demands made by academics. Further research should compare the views of both academics and the academic library.
Pseudo-orality and the Skaz Narrative Technique in Andrea Camilleri’s Inspector Montalbano Series

Emilio Lomonaco argues that the broad appeal of Camilleri’s narrative style arises to a large extent from the degree to which it resembles the Russian pseudo-oral type of narrative called skaz , which is a “verbal mask” whose fundamental characteristic is the deviation from the literary norm, and the adoption of the “language of the people”. Lomonaco shows that one of Camilleri’s specific trademarks is the lively third-person narration, typified by a clever fusion of Sicilian dialect and standard Italian into a humorous, ironic, hybrid language, which gives the narrator’s voice a vibrant and appealing tone. By concentrating on the openings of the novels where this narrative voice is dominant, Lomonaco contends that the voice of the narrator fluctuates between a humorous or ironic and a more serious tone, as if the voice of the author were taking over the voice of the narrator, and this is consistent with the skaz type of narration.
The developer learning of mathematics, didactic and methodological budgets

The learning of mathematics constitutes a necessity for the educational systems of today´s world and especially for Cuba. Correspondingly, the transformations of Cuban higher education, require as requirements for the direction of the teaching – learning process, the promotion of the exercise of thinking, the development of cognitive independence and strategies and motivations to learn, as well, how to conceive the class from a developing conception. Due to the importance for the Computer Engineering career of mathematics learning, research carried out aimed at determining the main considerations to achieve a developer learning. In this review article, the main results of a bibliographic search on the subject and the main criteria of the researcher in this regard are present.Keywords: Developer learning, math teaching-learning process, teaching-learning developer process.  RESUMENEl aprendizaje de la matematica constituye una necesidad para los sistemas educativos del mundo actual y en especial para Cuba. En correspondencia con ello, las transformaciones de la educacion superior cubana, precisan como exigencias para la direccion del proceso de ensenanza-aprendizaje, la promocion del ejercicio del pensar, el desarrollo de la independencia cognoscitiva y de estrategias y motivaciones para aprender a aprender, asi como concebir la clase desde una concepcion desarrolladora. Debido a la importancia para la carrera Ingenieria Informatica del aprendizaje de la matematica, se desarrolla una investigacion encaminada a determinar las principales consideraciones para lograr un proceso de ensenanza – aprendizaje desarrollador. En este articulo de revision son presentados los principales resultados de una busqueda bibliografica sobre el tema y los principales criterios del investigador al respecto.Palabras clave: Aprendizaje desarrollador, proceso de ensenanza – aprendizaje desarrollador, proceso de ensenanza – aprendizaje de la matematica.
Current Status and Issues in Digital Archive in Natural History and Science and Technology.

Current Status and Issues in Digital Archive in Natural History and Science and Technology.