Reviewerly/exHarmony huggingface dataset:
Unifying Sentence Transformer Embedding and Softmax Voting Ensemble for Accurate News Category Prediction

The study focuses on news category prediction and investigates the performance of sentence embedding of four transformer models (BERT, RoBERTa, MPNet, and T5) and their variants as feature vectors when combined with Softmax and Random Forest using two accessible news datasets from Kaggle. The data are stratified into train and test sets to ensure equal representation of each category. Word embeddings are generated using transformer models, with the last hidden layer selected as the embedding. Mean pooling calculates a single vector representation called sentence embedding, capturing the overall meaning of the news article. The performance of Softmax and Random Forest, as well as the soft voting of both, is evaluated using evaluation measures such as accuracy, F1 score, precision, and recall. The study also contributes by evaluating the performance of Softmax and Random Forest individually. The macro-average F1 score is calculated to compare the performance of different transformer embeddings in the same experimental settings. The experiments reveal that MPNet versions v1 and v3 achieve the highest F1 score of 97.7% when combined with Random Forest, while T5 Large embedding achieves the highest F1 score of 98.2% when used with Softmax regression. MPNet v1 performs exceptionally well when used in the voting classifier, obtaining an impressive F1 score of 98.6%. In conclusion, the experiments validate the superiority of certain transformer models, such as MPNet v1, MPNet v3, and DistilRoBERTa, when used to calculate sentence embeddings within the Random Forest framework. The results also highlight the promising performance of T5 Large and RoBERTa Large in voting of Softmax regression and Random Forest. The voting classifier, employing transformer embeddings and ensemble learning techniques, consistently outperforms other baselines and individual algorithms. These findings emphasize the effectiveness of the voting classifier with transformer embeddings in achieving accurate and reliable predictions for news category classification tasks.
Conceptual Meta-Models: An Example Correlating Anthony’s Triangle, Simon’s Structure, and Stevens’ Scale of Measurement

Models vary in size and applicability. However, the goal of most models is to abstract a complex topic and make it simple enough for multiple people to understand and discuss the topic. As a result, there should be utility in being able to craft the most complex and descriptive model for any given situation using the most simple pieces. This paper proposes this idea, and gives an example with the correlations between Anthony’s Triangle, Simons’ Structured and ‘ill-structured’ problems, and Stevens’ Levels of Measurement. The end result is an acknowledgement that there is a lacking setoff universally agreed upon core models that can be used for brainstorming and a call to develop a universal grammar of standard models for widespread recognition.
Smart Contracts: New Boundaries Between the Law and the Internet

The present study analyzes Smart Contracts and Blockchain technologies from the perspective of Contracts Right. Thus, seeks to investigate the general theory of contracts to identify whether smart contracts inserted in a blockchain meet the requirements of validity, existence, and efficiency. In addition, it seeks to use the figure of the Judge as a Service in arbitration and Ricardian Contracts to work the dynamics between traditional law and new technologies. The deductive method and scientific research were used, having as theoretical references the Brazilian Civil Code and the article, “Blockchain smart contracts and Judge as a service in Brazilian legislation.”
Tilt Angle of Solar Panels for Best Winter, Summer and Year-Round Performances for Different Regions of the World

Background:&#x0D; In recent years, solar energy has gained increased attention. The energy from the sun is unlimited and environment friendly. It is useful in decreasing the carbon dioxide emission that comes from the burning of fossil fuels and leads to global warming.&#x0D; Materials and Methods:&#x0D; The tilt angle of a solar panel is an important parameter that affects its performance. This paper provides the tilt angle of solar panels for 90 capital cities in 90 countries in the northern and southern hemispheres. Solar Irradiance Calculator is used to calculate the tilt angles from vertical.&#x0D; Results:&#x0D; The tilt angle for the studied capital cities ranges from 11° to 90° in winter, 41° to 105° in summer and 26° to 90° for year-round. The output results obtained from the calculator are very close to those calculated from equations and agree with previous studies.&#x0D; Conclusions:&#x0D; According to the results of the current work, only the latitude is required to calculate the tilt angle at any location worldwide. These results can be generalized to any location on the earth. The results of this work are expected to give valuable information to the users of solar panels.
Eye-Gaze Controlled Wheelchair Based on Deep Learning

In this paper, we design a technologically intelligent wheelchair with eye-movement control for patients with ALS in a natural environment. The system consists of an electric wheelchair, a vision system, a two-dimensional robotic arm, and a main control system. The smart wheelchair obtains the eye image of the controller through a monocular camera and uses deep learning and an attention mechanism to calculate the eye-movement direction. In addition, starting from the relationship between the trajectory of the joystick and the wheelchair speed, we establish a motion acceleration model of the smart wheelchair, which reduces the sudden acceleration of the smart wheelchair during rapid motion and improves the smoothness of the motion of the smart wheelchair. The lightweight eye-movement recognition model is transplanted into an embedded AI controller. The test results show that the accuracy of eye-movement direction recognition is 98.49%, the wheelchair movement speed is up to 1 m/s, and the movement trajectory is smooth, without sudden changes.
Detection-segmentation convolutional neural network for autonomous vehicle perception

&lt;p&gt;Object detection and segmentation are two core modules of an autonomous vehicle perception system. They should have high efficiency and low latency while reducing computational complexity. Currently, the most commonly used algorithms are based on deep neural networks, which guarantee high efficiency but require high-performance computing platforms. In the case of autonomous vehicles, i.e. cars, but also drones, it is necessary to use embedded platforms with limited computing power, which makes it difficult to meet the requirements described above. A reduction in the complexity of the network can be achieved by using an appropriate: architecture, representation (reduced numerical precision, quantisation, pruning), and computing platform. In this paper, we focus on the first factor - the use of so-called detection-segmentation networks as a component of a perception system. We considered the task of segmenting the drivable area and road markings in combination with the detection of selected objects (pedestrians, traffic lights, and obstacles). We compared the performance of three different architectures described in the literature: MultiTask V3, HybridNets, and YOLOP. We conducted the experiments on a custom dataset consisting of approximately 500 images of the drivable area and lane markings, and 250 images of detected objects. Of the three methods analysed, MultiTask V3 proved to be the best, achieving 99% mAP_50 for detection, 97% MIoU for drivable area segmentation, and 91% MIoU for lane segmentation, as well as 124 fps on the RTX 3060 graphics card. This architecture is a good solution for embedded perception systems for autonomous vehicles. The code is available at: https://github.com/vision-agh/MMAR_2023.&lt;/p&gt;
New Regulatory Force of Cyberspace: The Case of Meta’s Oversight Board

It’s been a few years since Facebook (Meta) instituted its Oversight Board as a new quasi-judicial and regulatory body of one of the most important contemporary cyberspaces. It’s long established that social media platforms, such as Facebook, pose certain challenges to democracies as they, among other issues, allow for spread of fake news and hate speech, shift our perception of reality, or create echo chambers. In reaction to talks of regulating similar platforms, Meta’s self-regulatory attempt of instituting the Oversight Board appears to tackle the issue of content moderation by the platform itself. As the content moderation is one of the main sources of Meta’s problematic reputation (taking down posts, pages of various more or less known persons), the board is potentially significant. The paper analyses the board’s mandate, governance structure and procedures. We look at standard elements of independence of decision-making bodies (such as courts) to establish whether the Oversight Board is structured in a way conducive to independent decision making. We conclude that that structure of the Oversight Board fulfils some of the elements of the de jure judicial independence, however there is a room for improvement. Independence of the Oversight Board from Meta is a vital element of the institution, however we detect connections and dependencies on Meta (Meta needs to agree on changes of the Charter as well as the Bylaws, Meta was profoundly involved in the initial selection of the members, etc.). The whole structure of Oversight Board is heavily impacted by the private law institutes – trust, company, contracts – which might not be able to fully facilitate all the needs of an independent quasi-judicial body. The private structure, lacking necessary participatory mechanisms, does not permit the Oversight Board to gain necessary legitimacy. We also review the Oversight Board’s setup in light of the EU’s 2022 Digital Services Act (DSA), which represents one of the most comprehensive regulations of the social media platforms, including content moderation issues. We conclude that the Oversight Board would also not be compliant with requirements set forth in the DSA. After the adoption of the DSA, a question of compatibility of the Oversight Board with the out-of-court dispute settlement bodies opened.
Development of WEB Based Police Member Proficiency Test Application

The purpose of this research is to produce a web-based application for the aptitude test for members of the Indonesian National Police. The type of research used in this research is development research with Research &amp; Development (R&amp;D) research design from Borg and Gall. This research was conducted with 9 research stages namely, (1) Research and information collecting, (2) Planning, (3) Develop preliminary form of product, (4) Preminary field testing, (5) Main product revision, (6) Main field testing, (7) Operational product revision, (8) Operational field testing, (9) Final product revision. The population in this study used sports science faculty students. The sampling technique used purposive sampling with a Phase I trial of 15 members of the Indonesian National Police Batch 2020/2021 and a Phase II trial with a total of 30 members of the Indonesian National Police Batch 2021/2022. Furthermore, from the Phase I trial with a total of 15 students showing a score of 78.33% with the Eligible criteria, then from the Phase II trial with a total of 30 students showing a score of 93.77% with the Very Eligible category. On the basis of the data obtained, the development of a web-based aptitude test application for police officers was declared feasible to be developed as a web-based aptitude test application for police officers.
Building the blocks for open science

<p class="first" id="d19153545e56">The value and importance of open science is a central component of how we move research and knowledge forward – sharing all elements of research is fundamental to trust, integrity and reproducibility and therefore the advancement of discovery and trusted knowledge. As a community, however, we need to get better at taking concrete steps to drive forward appropriate measures. Encouraging open sharing and research practices, promoting their benefits, and building an evidence based approach to their value – whilst important, are on their own, not enough. Collaboration across all stakeholders needs to take place – policy makers, funders, publishers, librarians, researchers and organisations/institutions. These are all important conversations that need to continue to take place to effect positive change through collaboration, awareness and innovation. Coupling real world examples with clear policy, better credit and reward systems, better tools and services, explicit funding, practical help and answers to common questions are all essential factors in accelerating openness and sharing to an established norm. There are no easy answers, no “silver bullet”, but there is much we can act on now. This poster draws on the thoughts of those key stakeholders across our sector to demonstrate the building blocks to true sustainable open science – from a code and data, platform, librarian, researcher and publisher perspective – whilst we may all be a small part of the cog, by each playing our part we can contribute, more than we have been able to before, in building the blocks for open science.
An OA Book Usage Data Trust for Scholarly Publishing

The Research Organization Registry (ROR) is a global, community-led registry of open persistent identifiers for research organizations.Scholarly publishers already know the advantages of standardizing internal customer information with organization identifiers, but there are an increasing number of reasons for publishers to share organization data with other systems.ROR, a free and open CC0 dataset with a no-cost REST API, makes it easy for systems to exchange organization data for any and all purposes.
Leveraging Technology to Support Scholarly Publishing

<p class="first" id="d19375474e64">This poster showcases how tools and technology can support academic publishers and university presses by optimizing workflows and automating processes to enable them to publish and share scholarly content. Exploring the end-to-end publishing process from the ideation and creation workflows, to managing content distribution and dissemination, and calculating royalties and analyzing sales, the poster illustrates how tools and technology can help scholarly publishers to: 1) Inform and improve acquisition decisions; 2) Manage any saleable product—from physical books to digital content, journals, merchandise, and licenses—plus a wide range of identifiers (including those beyond the ISBN); 3) Meet open access requirements; 4) Support the peer review process; 5) Streamline the production process; 6) Make appropriate printing decisions, including POD; 7) Share relevant content through appropriate channels consisting of multiple distributors, aggregators, libraries, websites and platforms; 8) Automate royalty calculations and statement delivery; and 9) Better understand sales trends to inform future publishing and dissemination decisions.
Peningkatan Hasil Belajar Melalui Model Pembelajaran Numbered Head Together Berbantuan Media Game Teka Teki Silang Siswa Kelas IV Sekolah Dasar

The purpose of this study is to analyze the application of the Numbered Head Together learning model assisted by Crossword Game media in improving student learning outcomes.The research method used is classroom action research (CAR). The research was carried out from March 21 2022 to March 28 2022 in class IV SD 1 Gulang Mejobo Kudus. Data collection techniques used are tests, documentation, and observation. Data validation uses the opinion of experts (Experts Judgment) by Ms. Sekar Dwi Ardianti, S.Pd., M.Pd., and Mr. Much. Arsyad Fardani, S.Pd., M.Pd. Data analysis in this study used quantitative and qualitative data.The results showed that the learning outcomes of students' knowledge domain increased significantly between the first cycle of 70.29% and the second cycle of 74.70%. This proves that the application of the Numbered Head Together learning model assisted by the Crossword Puzzle Game media can improve the learning outcomes of fourth grade students at SD 1 Gulang.
Journal platform migration: How we successfully moved 100 years of content

<p class="first" id="d19424740e56">Migrating more than 100 years of content from one journal platform to another is a daunting task but this journey can be successfully undertaken by a small association keeping these key points in mind. The journey begins by choosing your partners well using the RFP process. Working with a professional project manager will hold you accountable and keep the project on schedule. Keeping your team of decisionmakers small will allow for quick turnarounds. Setting realistic expectations will help you avoid getting derailed--you will need to devote large blocks of time to the project and budget for unplanned expenses. Avoiding customization will help you steer clear of expensive overruns. We will show how we undertook a very complex migration and benefitted from building in milestones that ensured a smooth transition. Other small societies considering a journal platform migration could benefit by following these recommendations.
Challenges and Opportunities for Niger's Economic Development: A Focus on Agriculture and Mining

This paper examines the challenges and opportunities for sustainable economic development in Niger, focusing on the agriculture and mining sectors. While agriculture is the mainstay of Niger's economy, it faces challenges such as climate change, low productivity, and lack of infrastructure. The mining sector has great potential, but also faces challenges related to regulation, environmental protection, and social impacts. The government has implemented policies and initiatives to support these sectors and promote sustainable development. The paper identifies key policy options, including revising regulations, improving infrastructure, promoting local content, and implementing social and environmental safeguards. To achieve sustainable and inclusive development, Niger needs to prioritize investments in human capital, social protection, and environmental sustainability, while also promoting private sector engagement and regional integration.
Some solutions to develop science and technology at Tan Trao University

Promote research, transfer, and firmly apply the achievements of the fourth industrial revolution to all areas of social life, including higher education as a driving force for growth. The article studies the current situation and proposes solutions to develop scientific research on the Tan Trao University, Tuyen Quang province, Vietnam case study in the current period.
AD-DMKDE: Anomaly Detection Through Density Matrices and Fourier Features

This paper presents a novel density estimation method for anomaly detection using density matrices (a powerful mathematical formalism from quantum mechanics) and Fourier features. The method can be seen as an efficient approximation of Kernel Density Estimation (KDE). A systematic comparison of the proposed method with eleven state-of-the-art anomaly detection methods on various data sets is presented, showing competitive performance on different benchmark data sets. The method is trained efficiently and it uses optimization to find the parameters of data embedding. The prediction phase complexity of the proposed algorithm is constant relative to the training data size, and it performs well in data sets with different anomaly rates. Its architecture allows vectorization and can be implemented on GPU/TPU hardware.
VIRTUAL EXCURSIONS

The modern century is characterized by a high level of development of technology and science, and conditions the improvement of the educational process and adaptation to a new way of life. One form of modernization is virtual excursions, which represent an imaginary visit to objects that are studied using modern information and telecommunication technologies. The purpose of this research is to determine the presence of virtual excursions in the teaching process and their impact on children of primary school age. The research was carried out in the area of the town of Krupanj. The research was conducted in the Elementary School "Borivoje Ž. Milojevic". The assessment of this research was carried out on a sample of 80 students from the above-mentioned elementary school. The age structure included in this research is 9+1 years. Based on the obtained data collected by the research, an analysis was performed and it was concluded that virtual excursions are represented in educational institutions and that both genders of students of this institution are equally subjected to virtual excursions.
АНАЛИЗА СТАЊА ИНФОРМАТИЧКЕ ПИСМЕНОСТИ У ОСНОВНИМ И СРЕДЊИМ ШКОЛАМА СА ОПШТИНЕ БИЈЕЉИНА

The research we conducted aimed to present an analysis of the state of information literacy in primary and secondary schools in the municipality of Bijeljina. As it is necessary to know how to use computers correctly, so the need to be computer literate was created. Teachers are the ones who should help students to be able to use computers correctly and to know how to use them as a tool that will help them solve certain problems. In order for students to be trained in the proper use of computers, teachers must first be able to use them, so a 25-question survey was conducted to examine how much knowledge students have of computer science and the use of modern technologies. The paper presents the results of the research.
The educational legacy of Ishwar Chandra Vidyasagar: Promoting accessible and inclusive education

Ishwar Chandra Vidyasagar, born on September 26, 1820, was a prominent social reformer, educationist, and philosopher of 19th-century Bengal, India.He dedicated his life to the cause of education, particularly in the field of vernacular education, and played a pivotal role in shaping modern education in India.Vidyasagar's contributions in promoting vernacular education and advocating for the rights of women have left an indelible mark on Indian society.His relentless efforts to promote education and bring about social change have earned him a revered status as an educator.Vidyasagar's role as an educator is remarkable.Let's explore the educational legacy of Ishwar Chandra Vidyasagar, focusing on his remarkable contributions in promoting accessible and inclusive education.
Esensi Single Stroke Pada Awal Pembelajaran Drum

Research on this writing to find out that how the technique of single stroke can be said as a basic technique in drumming. the purpose of this study is to see how important rudiment single stroke is too early learning drums. This research is qualitative descriptive research that reveals the current phenomenon. Single stroke technique as a researched object. The location of the research conducted is in the lecture environment of major drum Sendratasik Faculty of Language and Arts, Padang and Drum United Padang Community. Supported by research instruments that are researchers themselves. Techniques in data collection using observation techniques, interview techniques, and documentation techniques. The results of the study were found based on data from pre-field findings obtained through researcher assumptions and field finding data obtained through interview results to informants who are considered to know about single stroke. So the result of this research is rudiment single stroke technique is the basis at the beginning of drum learning because the technique is an easy technique to do than other rudiment techniques. It is also reinforced by the theory of dualism that is the technique of single stroke 2 substances are interrelated, this is about single stroke as the basis of practicing the balance of the left and right hands.