Reviewerly/exHarmony huggingface dataset:
Who danced better? ranked tiktok dance video dataset and pairwise action quality assessment method

Video-based action quality assessment (AQA) is a non-trivial task due to the subtle visual differences between data produced by experts and non-experts. Current methods are extended from the action recognition domain where most are based on temporal pattern matching. AQA has additional requirements where order and tempo matter for rating the quality of an action. We present a novel dataset of ranked TikTok dance videos, and a pairwise AQA method for predicting which video of a same-label pair was sourced from the better dancer. Exhaustive pairings of same-label videos were randomly assigned to 100 human annotators, ultimately producing a ranked list per label category. Our method relies on a successful detection of the subject’s 2D pose inside successive query frames where the order and tempo of actions are encoded inside a produced String sequence. The detected 2D pose returns a top-matching Visual word from a Codebook to represent the current frame. Given a same-label pair, we generate a String value of concatenated Visual words for each video. By computing the edit distance score between each String value and the Gold Standard’s (i.e., the top-ranked video(s) for that label category), we declare the video with the lower score as the winner. The pairwise AQA method is implemented using two schemes, i.e., with and without text compression. Although the average precision for both schemes over 12 label categories is low, at 0.45 with text compression and 0.48 without, precision values for several label categories are comparable to past methods’ (median: 0.47, max: 0.66).
A benchmark dataset and approach for fine-grained visual categorization in complex scenes

With the vast development of deep learning, many deep learning-based approaches have demonstrated their outstanding performance on the task of fine-grained visual categorization (FGVC). However, existing fine-grained datasets mainly focus on simple images (i.e., objects tend to occupy a significantly larger portion of the image and appear in a relatively clear background). This seriously restricts the application of FGVC in real-world scenarios. In this paper, we construct a fine-grained dataset named AIBD-Cars, which contains 28,471 car images with complex backgrounds belonging to 196 fine-grained classes. Furthermore, we propose a Location-Aware Channel-Spatial Attention Network (LCSANet), which considers both locating object regions and mining discriminative information to achieve better fine-grained visual categorization in complex scenes. We evaluate popular fine-grained visual categorization algorithms to build a benchmark. Extensive experiments show that our proposed method achieves a new state of the art on AIBD-Cars and FGVC Aircraft, and competitive results on CUB-200-2011 and Stanford Cars.
Cytological and Immunohistochemical Study of the Dromedary Iymph Nodes in Algeria

The aim of this research is to make an investigation about the cellular population of the dromedary lymph nodes in the region of El Oued in Algeria in order to identify the cytological structure of these organs; a classic histological staining technique had to be performed in order to identify the cellular population in each compartment of the organ. Moreover, it was necessary to make an immunohistochemical staining technique using monoclonal ant bodies in order to identify the localization of both T &amp; B lymphocytes. The obtained results revealed that the location of both T and B lymphocytes in the dromedary&rsquo;s lymph node is identical to the general organization of lymph nodes of other mammalian species.
Amalan Terbaik Dalam Rekabentuk Aplikasi M-Pembelajaran

The results of previous studies on the effectiveness of online learning show inconsistent findings. This is due to the fact that most applications that are developed do not emphasize effective design. So, the best practices have been collected through analysis documents from books and journal articles to help designers and developers of e-learning applications to produce effective applications. There are three main things that need to be emphasized in the design of e-learning applications, namely interface design, content design and interaction design. In interface design, one of the things evaluated is how to produce an interface that can use cognitive load effectively. Whereas, for content design, what is the appropriate learning and teaching theory to be applied so that the learning experience becomes something meaningful. As for interaction design, it is important for the behavior of an application to be predictable, expected, and usable. Good interaction design shows characteristics such as easy to use, efficient, safe, easy to learn and easy to remember how to use it. Although this best practice is still not comprehensive, it can help learning application developers, teachers, instructors, lecturers or trainers to provide online learning materials and design e-learning applications effectively and attractively.
Implementation of a Smarter Herbal Medication Delivery System Employing an AI-Powered Chatbot

Medicinal plants are a practical and cost-effective alternative for treating common ailments, especially in areas with limited access to public healthcare systems.This paper introduces a prototype of an intelligent interactive system that merges chatbot technology with artificial intelligence (AI) to address inquiries related to treatment alternatives and the application of different medicinal plants for prevalent health conditions which promote and advance alternative healing practices in the locality.The platform is a hybrid online chat service that prioritizes consumer health and encourages the responsible use of medicinal plants.This study used a survey questionnaire to gather information from traditional healers and users and concerned government agencies about how well the system prototype performed.The system's performance was assessed in terms of effectiveness, efficiency, and customer satisfaction, with respondents providing an aggregate rating of "Strongly Agree".Significantly, this study lays the groundwork for education on the use of local medicinal plants to cure illnesses and highlights the importance of providing users with accurate and reliable information on the safe use of medicinal plants.This approach empowers users to make informed decisions about the plants they use, reducing the likelihood of harmful effects and optimizing the potential benefits of medicinal plants.By supporting this effort, this study contributes to the achievement of the third Sustainable Development Goal of the UN, which aims to promote health and well-being by offering the local populace a low-cost option as a first line of defense for improving their health and wellness.
WITNESS PROTECTION SCHEME, 2018- A STEP TOWARDS WITNESS PROTECTION

In India, Witness protection legislation was unquestionably necessary since it protects the lives, property, and family members of witnesses. Each of their statements is important because it has the power to alter the whole track of the case. Without their assistance, the Court would be unable to reach to a fair conclusion. Prosecution witnesses are pressed and encouraged to weaken or even destroy the prosecution process by whatever means necessary. Although, it is a harsh reality that the situation of witnesses in the current judicial system is deteriorating nowadays which is why The Scheme for Witness Protection was approved by the Supreme Court on December 5, 2018. Also, The Law Commission of India, in different reports, has underlined the difficulties that witnesses experience during the trail process and has urged that a complete strategy on protection of witnesses be incorporated. However, the scheme fail short of standards several issues, such as online intimidation, financial issues, etc. The objective of this study is to explore the concept of Witness Protection Scheme, 2018, and to highlight the challenges that witnesses face in the judicial system, as well as to study at witness protection in India.
SCIENTIFIC MECHANISMS IN CRIME INVESTIGATION:A STUDY

This research paper aims at highlighting the application of scientific mechanisms or measures in conducting crime investigation. The elements of the scientific investigation like forensic medicine, scientific laboratories, digital forensics, criminal investigation and other scientific techniques are discussed. The legal provisions in India dealing with forensic science although not explicitly, like certain sections of the Indian Evidence Act, 1872 and the Criminal Procedure Code, 1973 are described. Consonance with constitution of some methods of scientific investigation of crimes like handwriting and signature identification, fingerprint, impressions of thumb, palm and foot ascertainment tests, narco analysis tests are examined. The constitutional validity is analyzed in regards to article 20(3) of the constitution. The issues and problems existing in the sector of forensic science in reference to research, training, education, laboratories, etc. are discussed. Various measures that could be employed for strengthening this field and upgrading its contribution in the crime investigation are also analyzed.
BASICS OF IP AND MEDIA LAW

Intellectual Property Right (IPR) is a criminal proper that protects the creation of a person or organization evolved by the mind or thoughts. Globalization and open marketplace policies have helped IPR to grow and affect the monetary activities in remaining three decades. The present paper essential draws a nexus between IPR and Media Law, where, Copyright is one of the vital rights and protects the rights of creators of creative works, literary works, sound, movies, and related creations. Copyright Law is an advanced domain that includes improvements, inventive creations and intellectual productions in print, audio-visual, sign &amp; symbols or within the virtual forms. Moreover, media platforms along with social media use photos, sounds, scripts, and lots of techniques of communication, other business and personal functions. The paper aims to highlight the basics of IPR and how it safeguards the interests of the IP holders. Further, it sheds light upon the nexus and role of IPR in the Indian Media Industry. Lastly, the paper will provide a fair and constructive analysis by means of discussing various branches of IP, the related legal provisions and various judicial pronouncements by the Supreme Court and the High Courts of India.
TERMINOLOGIES IN IPR AND MEDIA LAW

The intellectual property rights (IPR) are intangible in nature and gives exclusive rights to inventor or developer for their relevant invention or creation. This right provides the inventor jurisdiction over the fabrication of his own to explore convenience if used by others. These comforts may appear in the form of regard and identification or monetary or material benefits or more. These rights magnify the contemporary environment by giving recognition and economic benefits to developers or inventors whereas the lack of IPR perception and its unproductive execution may hamper the economic, technical and societal developments of a nation. The present paper summarizes various terms of IPR such as patents, trademarks, industrial designs, geographic indications, copyright, etc. with their corresponding rules, regulations, their require and bit part especially concern to Indian context. Further, the status of India’s participation in IPR related pursuit across the world has been considered in brief. For Media department that is full of inventiveness and innovation, Copyright is a great catalyst. Media platforms including social media use new ideas, images, sounds, scripts and many more techniques and processes of communication professional, commercial and personal cause. These entire configurations that are fabricated by persons and enterprises with meticulous efforts in designing, research &amp; development require a vast aggregate of investment also. These formations, developed after adherence of time and money, require to give dividends to the inventor and to become an inspiration for all.
The Policy Suggestions for Higher Education Financial Expansion to overcome the Structural Crisis in Higher Education System

Two major issues can be pointed out in the direction of education finance policy in the new government. First, the current scale of education finance is sufficient enough that the decrease in the school-age population is the determining factor for reducing education finance? Second, the government's strategy to invest higher education is sufficient to secure an appropriate level of funding for higher education?. The purpose of this study was to analyze two issues based on empirical data and to propose policy suggestions to expand higher education finances to overcome the structural crisis of it. As a result of the analysis, 10 reasons for not reducing education finance even if the number of students decrease; 3 reasons related to the country's educational outlook and philosophy, 5 reasons for structural problems of weak education finance, and 2 reasons for the additional budge for the future education were identified. And the structural crisis in higher education system related to university finance were analyzed as followings: First, phenomenon of hollowing out local universities due to the mismatch between supply and demand for university education, the crisis situation that emerged from the weak university financial structure, the crisis of polarization in university education due to the increase in the burden of college tuition, and the size of the university budget, which is far short of economies of scale, was presented; Second, as a result of estimating the minimum university financial demand based on the national economic size and the OECD average, the additional support for higher education currently planned by the new government was very insufficient. Finally, this study suggested several policy alternatives based on the empirical evidences; enactment of Higher Education Finance Grant Law for securing it by 1% of GDP, Special Accounting Act for Balanced University Development, Special Act on Support for Higher and Vocational Lifelong Education, the Education Finance Grant Law to secure finances in line with GDP growth rate, and enactment of the High Education Tax.
A Qualitative Case Study on the College Instructors’ Conflict Experiences in Online Courses: Based on Cultural-Historical Activity Theory

Objectives This study aimed to identify the limitations of the current online classes by paying attention to instructors' experience of difficulties in the online realm, where role changes have occurred as courses were taught online. Methods This study used the cultural-historical activity theory as the analytical framework. Through a literature review of the cultural-historical activity theory, the framework of the online class activity system was established, and in-depth interviews were conducted for instructors who taught online classes at universities. Results This study was able to derive an online teaching activity system of university instructors with an emphasis on the instructors as subjects of the activity system and the problems they faced in online classes. Some inherent contradictions were derived from the study. These included “teaching experience,” “structural limitations of online teaching,” “lack of online teaching experience,” and “lack of support from the school.” Unlike fundamental contradictions such as ‘teaching experience’, ‘structural limitations of online teaching’, and ‘lack of online teaching experience’, which can be resolved by the instructors through various strategies, the contradiction of ‘lack of support from the school’ had characteristics that were difficult for instructors to solve personally. Therefore, schools and instructors need to expand discussions on class support for the qualitative growth of online courses. Conclusions Studies have shown that the teaching activities of university instructors in online classes were tool-mediated and retained a structure of social and collective activity. In addition, in resolving conflicts arising from the online classes, they have expanded from being a means of content delivery to an actual learning community. These qualitative changes in online classes have resulted in an opportunity to rediscover new roles and capabilities in university education.
Associations of Working Memory and Reading Comprehension of Normal Children in South Korea: A Meta-Analysis

본 연구에서는 일반아동의 작업기억과 읽기이해 간 상관관계를 살펴본 국내 연구를 중심으로 메타분석을 실시하였다. 이를 위해 2022년 12월까지 주요 논문검색 사이트를 이용하여 자료를 수집하였고 총 15편의 논문을 분석자료로 선정하였다. 먼저 수집된 자료의 특성을 정리하였고, 총 15편의 분석자료에서 추출한 58개의 상관계수를 토대로 메타분석을 실시하여 전체 효과크기를 산출하였으며 작업기억의 하위요소와 학년 집단에 따라 효과크기의 유의한 차이가 나타나는지를 조절효과 분석을 통해 살펴보았다. 주요 연구결과를 살펴보면 첫째, 메타분석에 포함된 연구들은 주로 음운루프와 중앙집행기 요소를 통해 아동의 작업기억 능력을 측정하고 있는 것으로 나타났다. 둘째, 일반아동의 작업기억과 읽기이해 간 상관관계에 대한 전체 효과크기는 중간 정도인 것으로 나타났다. 셋째, 작업기억과 읽기 이해 간 상관관계의 효과크기는 학년 집단에 따라 유의한 차이가 있는 것으로 나타났다. 이를 토대로 국내에서 수행되고 있는 연구들이 아동의 작업기억 능력을 측정하는데 일부 요소만을 다루고 있음을 확인할 수 있었고, 일반아동의 작업기억 능력과 읽기이해 기술이 어느 정도 밀접한 관련이 있음을 확인할 수 있었다. 이상 본 연구의 결과는 읽기이해 과제수행과 관련한 인지적 요인으로서 아동의 작업기억 능력을 살펴보는 것이 타당함을 밝히는 근거가 될 것이고, 작업기억과 읽기이해 간의 관련성 정도가 발달 수준에 따라 달라질 수 있음을 확인시켜주었다고 볼 수 있다.In this study, a meta-analysis is conducted on the study of the correlation between working memory and reading comprehension of normal children. Data were collected to December 2022, and a total of 15 papers were selected as analysis data. The characteristics of the collected data were summarized, and a meta-analysis was performed based on 58 correlation coefficients to calculate the overall effect size. The results are as follows. First, the studies mainly measure children's working memory ability through the phonological loop and central executive components. Second, the overall effect size for the correlation between working memory and reading comprehension was medium. Third, the difference in the effect size of the correlation between working memory and reading comprehension according to grade group was statistically significant. Therefore, the studies measure children's working memory ability with some working memory components, and there is a close relationship with the working memory ability and reading comprehension skills of normal children. The results of this study will serve as a basis for clarifying the validity of examining children's working memory ability as a cognitive factor related to reading comprehension task performance.
Institutional Repository: A Green Access for Research Information

In recent times, there has been a growing concern among the research community regarding the cost of penetrating exploration publications. Scholarly publishers frequently charge extravagant freights to pierce exploration papers, which can be a significant hedge to exploration and literacy. Fortunately, institutional repositories give an indispensable means of penetrating exploration information that’s both cost-effective and sustainable. Green access is one of the arising generalities in the last many times. It has brought a revolutionized change in scholarly communication, which promotes free access to scholarly content over the internet. This paper reports the conception of Green Access and highlights the enterprise taken by special Libraries of Lucknow in a Green access area.
Practice Exploration on the Identification of Evidence of Cyber Crime

The evidence of cyber crime is aimed at the criminal acts carried out by the Internet or directly using the Internet.Different from the traditional evidence of crime, it has the characteristics of technology, dissemination, concealment and transregional.The evidence of cyber crime has the identification difficulties in the aspects of extraction and examination.Evidence of cyber crimes should be examined and identified from the aspects of legitimacy, authenticity, relevance, completeness and timeliness of evidence.
Penerapan Sistem Informasi Manajemen Penjualan Pada Mitra AL Snack

At this time information systems are urgently needed by all forms of the business and business world. AL Snack is a business that is engaged in distributing packaged snacks and beverages, in the daily operational activities of AL Snack currently still doing manual transaction recording. It currently takes a considerable amount of time to make one sales transaction because the recording is still manually recorded. To solve this problem, a sales information based system was created so that its sales management would be more effective and efficient, this system was created using Waterfall design method so that it was expected to meet the needs of users on AL Snack. The tools used in the development of the system are the use of PHP programming language with the Laravel framework and the use of PostgreSQL databases. The result of this study is a sales management information system that makes AL Snack easier in managing sales such as sales records, goods stock updates, customer data collection, supplier data collection, and sales reports and applying restrictions on access rights to each user
Sentiment Analysis of Customer Reviews for Online Stores That Support Customer Buying Decisions

This research was carried out in order to conduct a sentiment analysis on customer reviews for an online store. It is a technique that makes use of textual contextual mining to identify and extract information that is subjective. This type of analysis aids a company in understanding the attitudes of their customers toward their brand, products, and services. When it comes to making evidence-based decisions, sentiment analysis is taken to the next level by using count-based metrics. The study examines the key aspects of the product that their customers are concerned about, as well as the reactions or intentions that these customers have toward their brand and product. The analysis is carried out using a machine learning approach, specifically a supervised learning approach. Sentiment analysis is carried out using the decision tree technique. The findings assist decision makers in understanding the attitudes of customers toward a brand, a product, or a service. This assists them in determining their future business strategy, which will help them increase their sales and profits.
ISSRE 2021 special section

Git is a fast, scalable, distributed version control system with a rich command set that provides high-level operations and full access to the internals. It has been widely used by millions of developers worldwide. However, due to the flexibility of the usage of Git commands and the scarcity of Git documentation, many developers have experienced difficulties when using Git commands.This paper aims to propose an automatic approach to recommending Git commands for developers given a query described by natural language.Our approach makes recommendations by mining the crowd-sourced knowledge related to Git on Stack Overflow. It first constructs a keyword-command mapping database from Git-related posts, then analyzes the similarity between the query given by the developer and the keywords in the database to retrieve the candidate commands, and proposes an algorithm to rank the candidate commands.Our approach’s recommendation results significantly outperform the baseline approaches in several metrics (e.g., Top-K accuracy). Meanwhile, the experimental results have shown that the favorable efficiency of our approach can promise its use by developers in real-world scenarios.The Git command recommendation approach proposed in this paper is effective and can be helpful for developers to use Git commands for more efficient development.