Reviewerly/exHarmony huggingface dataset:
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN PEGAWAI DENGAN METODE WEIGHTED PRODUCT BERBASIS WEB

The development of a company lies in its human resources. The process for obtaining HR (Human Resource) obtained by selecting employees. Koperasi Asi Sedana Luwih is an organization in the economic field that is required for savings and loan services. To get good human resources, the recruitment selection process is carried out in accordance with the criteria needed from each division. To make selection faster and better to minimize DSS (Decision Support System) to help companies get quality human resources. To solve the existing problems, develop DSS using the Weighted Product (WP) method.The decision support system that is generated based on the website and can produce ranking results from each alternative by the Weighted Product method by looking at the results of the largest vector v value of each alternative that can be taken into consideration for companies that allow prospective new buyers. Based on the results of system testing using the blackbox testing method, the output requested by the system is in accordance with the input provided by the user.
A Smart Recommendation System for Medicine using Intelligent NLP Techniques

Today, people are more and more worried about their health and problems with medical diagnoses. On the other hand, government research asserts that more than 1 crore individuals every year pass unexpectedly as a result of incorrect prescriptions written by unskilled medical professionals. Doctors are to blame for more than 42% of drug errors because they write inaccurate prescriptions as a result of their lack of experience. A large area of technology called natural language processing has the power to change the way things are done right now. What it is the study of language processing. It deals with recognizing key elements of spoken and written language and extracting meaning from unstructured material using computer algorithms. Systems that recommend medications to medical practitioners may aid in the selection of a drug that is appropriate for the patient. If these recommendation systems were created with the aid of today’s cutting-edge technologies, they might produce results that are shorter. Numerous modern pharmaceutical recommendation systems were built using various algorithms.
An Extensive Study on HAR Systems to Recognize Daily Activities using Deep Learning Approaches

"Human Activity Recognition" (HAR) refers to the ability to recognise human physical movements using wearable devices or IoT sensors. In this epidemic, the majority of patients, particularly the elderly and those who are extremely ill, are placed in isolation units. Because of the quick development of COVID, it's tough for caregivers or others to keep an eye on them when they're in the same room. People are fitted with wearable gadgets to monitor them and take required precautions, and IoT-based video capturing equipment is installed in the isolation ward. The existing systems are designed to record and categorise six common actions, including walking, jogging, going upstairs, downstairs, sitting, and standing, using multi-class classification algorithms. This paper discussed the advantages and limitations associated with developing the model using deep learning approaches on the live streaming data through sensors using different publicly available datasets.
PERANCANGAN DAN IMPLEMENTASI PHOTOSTOCK DI SMA KRISTEN IMMANUEL BATAM MENGGUNAKAN METODE 4D (DEFINE, DESIGN, DEVELOP, DISSEMINATE)

ABSTRAKFotografi memegang peranan yang cukup penting dalam mensukseskan kegiatan promosi sebuah institusi sekolah di media sosial. SMA Kristen Imanuel Batam memiliki website dan media sosial namun foto yang ditampilkan dinilai sangat minim dalam menginformasikan kepada masyarakat tentang sekolah dan kegiatannya. Foto yang digunakan sudah bersifat overused dan tidak memiliki daya tarik dikarenakan tidak melalui proses editing. Oleh karena itu, perlu dilakukan photostock untuk memperbarui koleksi foto. Proses pelaksanaan kegiatan photostock menggunakan metode 4D yang terdiri dari define, design, develop dan disseminate. Kegiatan photostock telah membantu SMA Kristen Immanuel memperoleh stok foto sejumlah 100 foto sebagai informasi sekolah yang ditampilkan melalui instagram dan upaya promosi bagi masyarakat di Kota Batam khususnya bagi calon murid baru supaya lebih mengenal sekolah, kegiatan pembelajaran dan prestasi yang telah diraih. Kata kunci: photostock; promosi sekolah; 4d. ABSTRACTPhotography plays an important role in the success of the promotional activities of a school institution on social media. Imanuel Christian High School Batam has a website and social media but the photos shown are considered very minimal in informing the public about the school and its activities. The photos used are overused and have no appeal because they don't go through the editing process. Therefore, it is necessary to do photostock to update the photo collection. The process of implementing photostock activities uses the 4D method which consists of define, design, develop and disseminate. Photostock activities have helped Immanuel Christian High School obtain stock photos of 100 photos as school information that is displayed via Instagram and promotional efforts for the community in Batam City, especially prospective new students to get to know the school, learning activities and achievements that have been achieved. Keywords: photostock; school promotion; 4D.
Solutions for the Development of Teaching Staff in Universities

In the context of Vietnamese education today, teaching effectiveness in educational institutions is a particularly key factor, contributing to the implementation of Vietnam's policy of educational reform to establish an advanced, responsible, and modern education, meeting the requirements of socio-economic development and international integration.The current mission of higher education institutions is to train human resources with professional qualifications, skills, foreign languages, and highly specialized informatics, effectively adapting to the trend of globalization.To fulfill the above mission, the development of a team of dynamic, inquisitive, innovative and professionally qualified lecturers with active teaching methods and well-adapted to the task in the new era is an urgent requirement today.That requirement depends on the quality of teaching staff, from which it is inevitable to develop this team to ensure quantity, synchronism in structure, achieve standards of quality and competence.To do well in the development of teaching staff, universities need to identify the role of the lecturers, the factors affecting the development of the teaching staff, and the offer solutions to develop appropriate teaching staff for each period.
Specific Employees Affairs System for RAL International Company- Part 2

Employee’s affairs systems are rapidly developing in line with the rapid development of the digital sector. Employee’s affairs systems in companies are often systems within companies that include all digital resources/information that the employees need. Sometimes the employee needs a resource/information while he is outside the company, which forces him to go to the company to obtain that resource/information even if it is late, or to postpone work on that resource until next day, which will negatively affect the employee’s work. To resolve this problem, we are working to find online system for managing the digital resources/information to be available for employees at any time and any space inside the company or outside it. We need Visual Studio editor to use the programming languages, ASP, C#, and SQL SERVER to manage the database. In this paper, implementation part will be presented. System requirements and system design were presented in the previous paper.
The Effect of the Number of Entangled Photons on the Number of Coincidences Rate, Bell’s Inequality and the Error Rate by the Delphi Program

Quantum cryptography is a science that relies on the use of a protocol designed to exploit quantum mechanical phenomena to achieve the secrecy of cryptographic keys. This work aimed to generate a quantum key based on polarization-entangled photon pairs; to eliminate the error by implementing the BB89 protocol using the Delphi language program in order to obtain a high degree of security. The results explain the effect of the number of EPR photons pair running from (500-10000) photons on the number of coincidences, expected error and Bell's parameter discussed as; Total coincidences of the Bell – CHSH increases with increasing of EPR pairs, and values were stable when EPR pairs were increased, there was a small random change in the expected error rate (in case of no eavesdropping).This study concludes thatTotal coincidences of the Bell and expected error are affected by the number of entangled photons.The increasing of the length of key must increase the number of EPR and decrease the Error and Bell's value must be stable.
The Paradigm Shift Cycle as the Cause of the Kondratieff Wave

Paradigm shifts in physics happen at 80-year intervals due to two constraints on physics and technology development that constrained the duration of paradigm development to average 80 years.These two constraints cause three generations to produce a physics paradigm and begin the industrialization during an industrial revolution.During each industrial revolution, there is a depressionary era due to the low productivity growth of the dying industries and the transition of the economy to new industries.Another depressionary era begins about 30 years after the end of the depressionary period of the industrial revolution.These depressions are times of high productivity growth when the industries reach the mature stage.The switch of emphasis from product innovation to process innovation causes depressionary eras during which the high corporate and consumer debt, product satiation, oligopoly formation, and increased automation that reduces the demand for labor cause depressions.The duration of the Kondratieff waves varies from about 40 to about 53 years depending on how quickly a paradigm is accepted.
"Use Scientific Method to Detection and Comparison of Menstrual Blood Samples Found at the Crime Scene"

Rakesh Mia1*, Vijay Panchal1 and AC Puri2 Author Affiliations 1Department of Forensic Science, Jharkhand Raksha Shakti University, India 2Regional Forensic Science Laboratory, India Received: January 07, 2022 | Published: January 27, 2022 Corresponding author: Rakesh Mia, Department of Forensic Science, Jharkhand Raksha Shakti University, India DOI: 10.26717/BJSTR.2022.41.006599
An Overview of the Codes and Conventions of Drama Film Music

This article is, a part of a larger chapter, which treats the analysis of also other drama soundtracks , with various plots, directing visions and kinds of typologies in order to draw a line between the conventions and codes in music. Still, it is hard, since the final result is mostly an eclecticism between program music, large types of audio layouts, applied accordingly to the script and the personal craft of the composer. I identified some general approaches in drama film music, such as: the large usage of strings, or the highlight of melodic parameter, the minor keys and so on. I believe, for a composer it is essential to know the tools one needs to choose before writing music for a film. Even more, the codes found in an soundtrack are necessary because of the fact that they „talk” about the composer s style, his trademark.
The Influences of Social Media and Scientific Citation in Hasanuddin University and Halu Oleo University: An Altmetric Approach

Altmetrics is a statistical measuring tool to measure interactions in scientific articles through data obtained from social media. This research examines the effect of social media data on citation data of scientific papers from Hasanuddin University and Halu Oleo University. This research uses quantitative descriptive with correlational analysis method. The stages of this research consist of problem identification, data collection, data pre-processing, analysis of the altmetrics approach, and discussion results. This research was conducted online by retrieving data in the form of citation data of scientific papers entering keywords with affiliates of Hasanuddin University and Halu Oleo University and the year was limited from 2019-2021, while social media data was obtained from Altmetrics.com by extracting DOIs from every scientific publication on Scopus. The results of this study indicate the correlation test results from Hasanuddin University 0.29 and Halu Oleo University 0.91. These results show a positive meaning that there is a substantial relationship between the alt value metrics with citation rate of the scientific papers of Hasanuddin University and Halu Oleo University, in addition to showing the scientific paper of Hasanuddin University and Halu Oleo University, besides being popular on academic platforms or international journals (Scopus), they are also popular on social media platforms Twitter, Facebook, Blog, and Mendeley.
Analisis Pembelajaran Menulis Permulaan dengan Metode SAS pada Peserta Didik Kelas I MITQ Al-Kautsar Surakarta Tahun Pelajaran 2021/2022

The aims of this study were: 1) To analyze the writing difficulties experienced by students. 2) Knowing the application of the SAS (Synthetic-Structural Analytic) method in overcoming beginner writing difficulties for students. 3) Knowing the factors that influence students' initial writing difficulties. The research method used is descriptive qualitative research. The subjects used were class I MITQ Al-Kautsar Surakarta students. Data collection techniques are interviews, observation and questionnaires. Based on data analysis, the following conclusions were obtained: 1) There were six grade I students who had difficulty writing at the beginning, judging from a) the neatness of their writing; b) writing that is difficult to read; c) writing late; d) write letters upside down like b-d, p-b; e) when writing there are letters missing. 2) The implementation of the teacher's strategy in overcoming the difficulty of starting writing with the SAS method is carried out quite effectively. 3) There are two factors that influence students' initial writing difficulties, namely external factors and internal factors.
Penerapan Aplikasi Game Quizziz untuk Meningkatkan Hasil Belajar Matematika

This study aims to 1) describe the application of the Quizzing application, which can improve student learning outcomes in mathematics, and 2) describe the increase in student learning outcomes in mathematics after applying learning using the Quizzing application. This research is class action research (CAR). In this study, there are 4 stages: planning, action, observation, and reflection. The subjects of this study were 6th grade students at SD Muhammadiyah 16, Surabaya, totaling 25 students. The instrument used to determine student learning outcomes is a written test. The results of research and discussion, as well as data analysis, can be described, and it can be concluded that the application of online game applications to student learning outcomes has increased. Learning outcomes were obtained by 20% during the pre-cycle, 32% during cycle I, and 100% during cycle II, or all students reached the limit of completion. The conclusions from this study are that: 1) the application of the Quiz application can improve student learning outcomes in mathematics. The suggestion from this study is the need for reinforcement when providing explanations and strengthening the internet network
Dampak PTMT (Pembelajaran Tatap Muka Terbatas) terhadap Kemampuan Membaca Permulaan Siswa Kelas II SDN 98 Palembang

This study aims to determine the impact of limited face-to-face learning on the beginning reading ability of class II students at SDN 98 Palembang. This research method uses qualitative, with the research informants being teachers and grade II students at SD Negeri 98 Palembang. Data collection techniques used are observation, interviews, and documentation. Data analysis techniques using qualitative analysis. Based on the results of research and discussion on the impact of PTMT (Limited Face-to-Face Learning) on ​​the beginning reading skills of class II students of SDN 98 Palembang, it can be concluded that PTMT (Limited Face-to-Face Learning) has a positive impact on the beginning reading ability of class II students of SDN 98 Palembang. This is evidenced by students being able to read even though they are still spelling, students have a happy feeling doing limited face-to-face learning compared to online learning. The results of the preliminary reading test showed that 11 students had scored 7-8. The teacher has also carried out the protocol in limited face-to-face learning, namely dividing students into 2 study groups, each group having 2 learning meetings in one week.
Recommendation Systems using Graph Neural Networks

Abstract: On the internet as the technology improves, the number of choices is overwhelming due to which there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized content and services. Recently, graph neural network (GNN) techniques have been widely utilized in recommender systems since most of the information in recommender systems essentially has graph structure and GNN has superiority in graph representation learning. This paper aims to provide a comprehensive application of GNN-based recommender systems.
Foreword

Geoscience is now facing the huge potential enabled by the cyberinfrastructure, sensor network, big data, cloud computing, and data science. In this new era, what skills should geoscientists know and what actions can they take to foster new research topics? Are there already successful stories of data science in geosciences and what are the experiences? Can data science bring fresh ideas to geosciences, and vice versa? The chapters in this Special Paper present the latest progress and discoveries in both the methodology and technology of geoinformatics, and provide answers to those questions. The presented methodologies, technologies, and best practices will make this volume a useful reference with long-term impacts for data-intensive geoscience in the next decade and beyond.
Student’s Learning Outcomes in Online Fun Learning using Video at SMP Wahidiyah Kediri

The pandemic has changed the way of teacher delivering material to the students. SMP Wahidiyah Kediri has supported the online learning for its students in order to bring new learning experience to the students and also in order to make the teaching learning process better in this new pandemic era. English as one of the compulsory subject at Junior High would also use online learning as media in teaching learning process. The online learning should make the students gain the knowledge better but also in a fun way. Video is used as one of the media in teaching English as it is bring joy and fun to the students. The study involved the seventh grade students of SMP Wahidiyah Kediri. It was completed in eight meetings. The researcher used quantitative method with t-tests to analyze the data. The result showed that there were significantly different levels of learning outcomes between the students who were taught by online fun video learning with the students who were not. The data showed that t-test &gt; t-table (3807 &gt; 1993) so that Ha is accepted and Ho is rejected. The average score showed that the class control has lower value than the class experiment. So it can be concluded that online fun video learning could improve the students’ learning outcome
Joseph N. Straus. The Art of Post-Tonal Analysis: Thirty-Three Graphic Music Analyses (review)

Joseph Straus’s The Art of Post-Tonal Analysis is the apotheosis of his decades-long work in post-tonal theory, and serves as an apt analytical companion to his seminal textbook, Introduction to Post-Tonal Theory (4th ed. 2016). Straus displays his mastery of post-tonal analytical artistry throughout. The monograph consists of thirty-three graphic music analyses intuitively laid out, with a pioneering use of colour for further clarity, and complete with a slick video version of each analysis on the companion website. The aim of each analysis is to uncover the structure and form of the music, with an emphasis on pitch organisation, whilst remaining largely free from overarching contextual or theoretical arguments. […]
Continuous Arm Motion Recognition Using Two-stream Spatial-Temporal Neural Network Based on Millimeter Wave Sensor

Radar-based continuous arm motion recognition has attracted increasing interests from research community due to its huge potential to interact with machine in a longer distance. Whereas, most existing arm motion recognition work have been conducted on individual motion or without caring for the preceding and subsequent motion information in the continuous data stream. Practical operation also requires that the system must continuously detect and recognize arm motions using untruncated input radar echo streams with unknown transitions between motions. In this paper, to address these challenges, a two-stream neural network accounting for the spatial-temporal information of the radar data stream is proposed for automatic continuous arm motion recognition with a Doppler radar sensor. One stream of the network combined 1-D CNN and Bi-LSTM in a sequential manner to extract the bi-direction long-term temporal dependencies of deep column-wise spatial features. The other stream used ResNet50 to extract the global spatial features. The two are then fused to output the final class label. The comparison with the state-of-art continuous motion recognition network, 1-D CNN-Bi-LSTM, shows that our proposed network structure achieves higher recognition accuracy. Furthermore, by applying a sliding window to the data stream, our approach can handle with random length arm motion echo stream with unconstrained transitions.
Radar Target Data Association with Amplitude and Tracking Information

In the radar data association problem, amplitude and state information of target returns are widely used in tracking algorithms, and typically many methods combine them. However, except from uniting them, constructing the correlation model among different instants returns is rarely considered. It is known that there is numerous information in radar target returns, but it is complicated to make comprehensive consideration. In this paper, we not only approximate the joint distribution of squared amplitudes based on the Copula function but unite the state information of target returns. Regarding squared amplitudes as statistics to derive the conditional probability density function (PDF), combine with state information to predict the scope of latter instant statistics, which can be used to improve certain anti-interference performance in the target-detection-during-tracking problem. Furthermore, this algorithm will consider about kinematic state and give the most reasonable measurement the highest possibility among the numerous ones radar receiving. And numerical results will be utilized to verify the effectiveness of the proposed method.