Reviewerly/exHarmony huggingface dataset:
Substantiating Denial of Intellectual Property Protection for Immoral Works and Inventions: A Review of the Latest Book by Ned Snow

Journal Article Substantiating Denial of Intellectual Property Protection for Immoral Works and Inventions: A Review of the Latest Book by Ned Snow Get access Enrico Bonadio, Enrico Bonadio Enrico Bonadio, Reader, City, University of London, UK; Email: enrico.bonadio.1@city.ac.uk Search for other works by this author on: Oxford Academic Google Scholar Tanvi Agarwal Tanvi Agarwal Tanvi Agarwal, Third year student, West Bengal National University of Juridical Sciences, West Bengal, India; Email: tanvi221050@nujs.edu Search for other works by this author on: Oxford Academic Google Scholar Jerusalem Review of Legal Studies, Volume 28, Issue 1, December 2023, Pages 144–157, https://doi.org/10.1093/jrls/jlad019 Published: 29 November 2023
Comments on the Ability of the Court to Assess the Social Effects of Intellectual Works

Journal Article Comments on the Ability of the Court to Assess the Social Effects of Intellectual Works: A review of Intellectual Property and Immorality: Against Protecting Harmful Creations of the Mind by Ned Snow Get access Noa Efroni Noa Efroni Noa Efroni, Ph.D. candidate at the Faculty of Law, The Hebrew University of Jerusalem, Israel; Email: noa.efroni@mail.huji.ac.il. Search for other works by this author on: Oxford Academic Google Scholar Jerusalem Review of Legal Studies, Volume 28, Issue 1, December 2023, Pages 112–123, https://doi.org/10.1093/jrls/jlad018 Published: 29 November 2023
USING POSTER PRESENTATION ACTIVITIES FOR ASSESSMENT IN HIGHER EDUCATION

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 1758-1764ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.0518Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
Penyuluhan Bahaya dan Upaya Mitigasi Bencana Hidrometeorologi di Desa Lembah Sari, Kecamatan Batu Layar, Kabupaten Lombok Barat

Hydrometeorological disasters are disasters caused by damage to the system in the hydrological cycle, thereby affecting the stability of climate conditions and water reserves on the earth's surface. Hydrometeorological disasters include droughts, floods, storms, forest fires, landslides, cyclones, cold waves and heat waves. On December 6 2021 several areas in West Lombok Regency were affected by flooding caused by extreme weather. One of the areas affected is Lembah Sari Village, Batu Layar District, West Lombok Regency. From the geographical conditions of Lembah Sari Village, it has a high potential for hydrometeological disasters. For this reason, the Community Service Team for the Civil Engineering Study Program (Prodi) at Muhammadiyah University of Mataram carried out outreach related to hydrometeorological disaster mitigation in Lembah Sari Village, Batu Layar District, West Lombok Regency. The method used is counseling with material presentation sessions and question and answer discussions. The activity will be held on August 28 2023. The extension activity can run well and smoothly as seen from the enthusiasm of the people in listening to the presentation of the material which is then followed by a question and answer session.&#x0D;
Persepsi Mahasiswa terhadap Pelaksanaan Perkuliahan Secara Daring di UIN Mahmud Yunus Batusangkar

This research aims to find out about student perceptions in carrying out the online lecture process by knowing aspects of access, media and implementation of evaluation in online lectures at UIN Mahmud Yunus Batusangkar, the impact of the Covid outbreak that has hit the world. Apart from the many negative impacts, there are also Positive impacts include the impact on the world, namely starting to get used to and become literate with virtual applications as media used in the online learning process such as zoom meetings, Google meetings, Google Classroom, Google Forms, WhatsApp groups, learning management systems (LMS), LMS used by UIN Batusangkar supports the learning process called e-campus and other media that support the online learning process. All of these media are also used by students and lecturers to support the learning process at UIN Mahmud Yunus Batusangkar. This research uses a quantitative approach with a survey method. The data source in this research is 585 students spread across 15 study programs. The data collection technique in this research is by conducting an online survey via Google Form. The results of the research show that students' perceptions regarding access to the implementation of the lecture process were 72.79% in the Good category. The data obtained by students regarding the media used in the online lecture process was 70.32% in the Good category. Student perceptions of online lecture evaluations were 68.04% in the Good category. The overall student perception of online lectures at UIN Batusangkar is 70.38% with a Good classification.
Backpropagation Neural Network Application in Predicting The Stock Price of PT Bank Rakyat Indonesia Tbk

Investors often make mistakes when making stock transactions even though having chosen good company stocks. The thing that needs to be considered in making stock transactions is to see the movement of stock prices. The movement of the stock price in PT Bank Rakyat Indonesia Tbk has changed in the form of a decrease or increase. An increasing stock price will provide benefits for investors by selling stocks. But, investors actually decide to make stock purchases. The existence of stock purchase transactions causes investors to take a high risk because stock prices fluctuate. To anticipate the occurrence of high risk to investor, stock price predictions are made using a Backpropagation Neural Network (BPNN). BPNN can adapt quickly and is able to predict nonlinear data such as stock prices and produce a high level of accuracy. The results of this study obtained the best BPNN model, namely the BP(5,3,1) model with a Mean Absolute Percentage Error (MAPE) of 0,8193%. These results show that the model has good network performance so that it can predict stock prices well because it gets a small prediction error.
Data Analysis and Visualization Training on Microsoft Excel Using Artificial Intelligence At SMA N 1 Ampek Angkek Kabupaten Agam

Based on observations and discussions with several teachers at SMA N 1 Ampek Angkek Kabupaten Agam, problems were found in describing and analyzing the significance of the development of students' abilities. The next problem which is no less important is the difficulty of measuring the effectiveness of the teaching materials used in the classroom. To improve the quality of learning, teachers are required to optimize the learning process by making students actively involved and making learning more interesting for them. To overcome this problem, data analysis and visualization training was carried out in Microsoft Excel using artificial intelligence at SMA N 1 Ampek Angkek Kabupaten Agam.
Fuzzy Geographically Weighted Clustering Method for Grouping Provinces in Indonesia Based on Welfare Indicators Aspects of Information and Communication Technology (ICT)

The welfare of the people is a task and goal that must be realized by the Republic of Indonesia. To find out the condition of the welfare of the Indonesian people, it can be seen from 8 areas of Indonesia's welfare indicators. Indicators The welfare of the Indonesian people is undergoing a digital transformation of Information and Communication Technology (ICT) in 2021. However, there was a gap in ICT development due to geographical conditions and the distribution and dynamics of each region's society. Cluster analysis is a solution for target setting for better future decisions. Fuzzy Geographically Weighted Clustering (FGWC) is one of the cluster methods with fuzzy logic that considers geographical and population elements in grouping targets. The results of the research resulted in 3 optimum clusters with different characteristics of each cluster based on indicators of ICT aspects of people's welfare. Cluster 1 has a low status of ICT indicators of people's welfare and is located in the middle or at the end of the island, provinces from cluster 2 have a medium status of ICT indicators of people's welfare with a medium area, while cluster 3 has a high status of ICT indicators of people's welfare with a large area or dense populations.
An Exploratory Study on the Derivation of Entrepreneurial University Components

Universities are called to change. Universities are facing crises such as the technological&#x0D; environment, changes in the industrial environment, and the decline in the school-age&#x0D; population, and these crises are expected to worsen, which calls for constitutional&#x0D; improvements rather than a piecemeal response. Traditionally, universities have played an&#x0D; important role in teaching, research and industry-academia cooperation. In recent years,&#x0D; however, it has been given a third role, 'the economic role of universities,' and is striving&#x0D; to transform itself into an entrepreneurial university. An entrepreneurial university is a&#x0D; university that contributes to the country and region by utilizing the resources of the&#x0D; university and ensuring sustainability based on entrepreneurship.&#x0D; Despite the importance of entrepreneurial universities, domestic research is still in its&#x0D; infancy, and it is difficult to find a study that identifies the components of entrepreneurial&#x0D; universities and the current status of universities.&#x0D; In this study, the components of entrepreneurial universities are derived from previous&#x0D; research. The current status of universities is determined through in-depth interviews and&#x0D; expert surveys, and the results are presented, followed by discussions over ways for the&#x0D; transformation into an entrepreneurial university.
FPGA-based Serial Port-controlled Frequency Adjustable Waveform Generator

This article explores the design, optimization, and applications of FPGA-based Direct Digital Synthesis (DDS) waveform generators. The DDS technology is widely used in signal generation and processing and is favored for its flexibility and precision. The paper discusses performance optimization strategies, focusing on enhancing frequency resolution, waveform quality, and phase accumulation speed. Suggestions include increasing phase accumulator’s bit width, optimizing the size of the phase lookup table, introducing frequency interpolation, and employing fast accumulation algorithms. Additionally, it delves into more applications such as high-precision testing, high-speed communication systems, multi-channel data synchronization, and multi-waveform outputs. The conclusion emphasizes the ongoing need for performance improvements and application advancements. Future directions include exploring higher-precision phase lookup table designs, sophisticated filtering, efficient accumulation algorithms, and leveraging advanced FPGA chips for broader application scope. Overall, FPGA-based DDS waveform generators exhibit significant potential across various domains, promising enhanced signal accuracy and adaptability.
Diploma Thesis Self-driving (Autonomous) Car Simulation in Ros System

Abstract Autonomous car development process considered as a hard task that required to test and evaluate the proposed system, for this reason, the simulation considers as a powerful tool, as it provides testing the system components interaction, evaluates the suggested autonomous solutions with no risks. This thesis presents a simulated self-driving car robot under ROS and Gazebo simulation environment. The complete task involves creating the robot model, integrating the simulated perception system and enable autonomous navigation inside a generated 2D map of the virtual world. The results emphasize that this method of compiling programming and simulating provide a reliable piece of work which its outcomes have a direct impact on self-driving cars development.
MODEL PEMBELAJARAN GUIDED NOTE TAKING PADA KETERAMPILAN MENYIMAK SISWA KELAS III SEKOLAH DASAR

This research is motivated by the current very condition of students in their listening skills. Listening skills are not considered important compared to other skills. Therefore, this study aims to determine the effect of the Guided Note Taking learning model on elementary school students listening skills. This research is a quantitative research with quasi-experimental methods. The research design uses a Posttest-Only, Non-Equivalent Control Group Design. While the participants of this study were all students of class III. The data collection technique uses test in the form of essay questions. The results of the calculation of the hypothesis test using SPSS software. The results of the study show that there is an influence of the Guided Note Takung model on the Listening Skills of Class III Elementary School Students.&#x0D;
SMART PRACTICES IN SPANISH LANGUAGE TEACHING: COMPARING RESULTS BETWEEN A GROUP OF ADULTS AND PRIMARY AND SECONDARY SCHOOL CHILDREN

SMART PRACTICES IN SPANISH LANGUAGE TEACHING: COMPARING RESULTS BETWEEN A GROUP OF ADULTS AND PRIMARY AND SECONDARY SCHOOL CHILDREN
LEARNING WITH MOODLE: DESIGNING AN APPROACH FOR TEACHING SCIENCE IN PRIMARY EDUCATION

A. VasiloudiI. GeorgiadouI. GiavroutaT.N. DaniilidouZ. PavlidouM. SolachidouN.P. TsilikaV. Koulountzos
AI-POWERED EDUCATION: UNLEASHING THE POTENTIAL OF CHATGPT IN COMPUTER SCIENCE HIGHER EDUCATION

S. Schefer-WenzlI. MiladinovicM. BublinL. FreudenthalerR. GoldschmidH. HirnerG. Mansky-KummertB. MiskovicK. SzaboM. Schmid-KietreiberB. Taufner
UNVEILING THE SECRETS OF LEARNING STYLES: DECODING EYE MOVEMENTS VIA MACHINE LEARNING

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 5153-5162ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1291Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
Meal Map Pro

In this paper, we describe the recipe recommendation system in the culinary domain. Due to the widespread use of the internet, the whole world is connected, and different users from different countries share millions of recipes online, all over the world. As a result, users are unaware of all the recipes available on the internet. A recipe contains heterogeneous information’s such as ingredients, cooking process, categories, etc. Therefore, we believe that a recipe is an aggregation of these heterogeneous features. The majority of the recipe recommendation systems are based on content or collaborate filtering to predict the new recipe that a user is interested in. Combining with both content and collaborative filtering, we propose an effective and elegant framework for combining recipe recommendation systems. Most recipe recommendation systems use content information for ingredients or cooking process of recipes. To reduce RMSE, we proposed a hybrid approach combining conventional techniques with content and collaborative filtering. This approach adds more heterogeneous information such as cuisine, preparation directions, dietary, etc. Keywords: Recommendation system, collaborative filtering, hybrid approaches, recipes, content information.
THE SENTIMENTAL ANALYSIS USING DEEP LEARNING MODELS

ABSTRACT:The tweets are brief and come in a steady stream. Emotions have a significant impact on feelings. People can express their ideas about anything and anything on social media. Public perception is divided into three categories: positive, negative, and neutral. In this study, Twitter hotel reviews are gathered and pre-processed before being analyzed using Python's Tweepy package. Re-tweets, tags, URLs, hash tag symbols, and duplicate entries are all eliminated as part of a screening procedure to remove any discrepancies in the data. Using Python's scikit-learn module, tweets are up-sampled and divided. Python turns textual data into vectors using the keras Tokenizer. Bi-sense Emoji Embedding (BSEE) is used to perform a sentimental analysis. Sentiment is categorized using Support Vector Machines (SVM) and Random Forest (RF),and LSTM (Long Short Term Memory) where compared based on accuracy, recall, F-measure, precision, time duration, and performance. It is clear that the proposed classifier produces better results. Keywords: Bi-Sense Emoji Embedding (BSEE), Long Short Term Memory (LSTM), Support Vector Machine (SVM), Random Forest (RF),
Student team achievement division model assisted by card media in social studies learning

The research aims to see how far the use of the STAD model assisted by card media improves learning outcomes and students' activeness and interest in learning. The method used was remedial action or classroom action research. The subjects were teachers and fifth-grade students at Pasirgunung Selatan 4 Elementary School, Depok, totaling 38 participants. The learning outcomes of the first cycle using the discussion method obtained an average of 69 (58 percent mastery learning) and 25 (66 percent) who actively answered. Cycle 2 using the STAD Model assisted by card media obtained an average of 80, completeness reached 80 percent, and student activity was 32 (84 percent). The results of the study can be concluded that STAD model assisted by by card media increases the class average value, learning completeness, student learning outcomes, student activities, and growth the cohesiveness and student interaction. The use of the STAD model assisted by card media has implications for social studies learning such as resulting data that makes it easy to measure students’ learning outcomes through comparisons between understanding before and after use. In addition, this research has the potential to enhance students' interaction and understanding of complex materials in social studies, as well as develop social and cognitive skills that are important for their development.
ISSUES OF CRIMINAL RESPONSIBILITY FOR INVOLVING A MINOR IN ANTISOCIAL BEHAVIOR

This article examines the issues of criminal responsibility for involving a minor in antisocial behavior. In addition, in the article, under Article 127 of the Criminal Code of the Republic of Uzbekistan, a minor is allowed to drink alcohol, use narcotic drugs and their analogues, or drugs and substances that are not considered psychotropic but affect a person’s intelligence, and the crime Aggravating circumstances, such as involvement, are also analyzed. Also, in the article, the author mentions the peculiar attraction of attracting a minor to antisocial behavior (cheating, abuse of trust), the use of physical force, and intimidation, i.e., the use of mental force (coercion). It was also analyzed by researching the opinions of scientists that it can be done through methods such as arousing malicious intentions (revenge, envy, and jealousy). Along with this, the article analyzes the law of the Republic of Uzbekistan “On the prevention of delinquency and delinquency among minors” and states that, according to this law, the lack of supervision and carelessness of minors is also a factor in the commission of this crime. In addition, appropriate proposals and recommendations were made for improving the criminal legislation in relation to this issue.
Meningkatkan Kemampuan Anak Dalam Membaca dengan Menggunakan Kartu Gambar di TK Negeri Pembina Lawe Pakam

This research aims to find out how to improve children's reading skills by using picture cards at the Pembina Lawe Pakam State Kindergarten, Southeast Aceh. The data collection technique used in this research is observation of children and teachers. Apart from observations, researchers conducted in-depth interviews with children and teachers regarding improving children's reading skills on picture cards at the Lawe Pakam State Kindergarten. The achievement level of improving reading comprehension for early childhood in the Lawe Pakam State Kindergarten with picture cards increases or not if the ability score reaches 85% or more. The model used is the Kemmis and Mc Taggart model which consists of planning, implementation, observation and reflection. The results of this research show that.&#x0D; Keywords: Improving, Reading Ability, and Drawing Cards
Speech Synthesis Integration in Open Journal Systems

PDFs of research papers are often characterized by poor accessibility and lack of speech synthesis compatibility. In this poster, we present our project that addressed these challenges by introducing a tailored EPUB format optimized for speech synthesis. The project was carried out at UiT's publishing service for open access journals (Septentrio Academic Publishing) and was partially funded by the National Library of Norway. During the course of the project, we explored two approaches to article formats compatible with speech synthesis. The first approach involved the implementation of specialized markup intended for speech synthesis software. However, this method proved to be excessively labor-intensive for our university's publishing service, prompting us to seek a more efficient alternative.Our second approach entailed converting documents from Word to EPUB via JATS XML, leveraging the versatile Pandoc tool. This streamlined approach not only simplified ongoing management but also ensured the creation of accessible files enriched with robust metadata. A noteworthy aspect of this project is its reliance on open source tools, making the approach readily transferable to other publishing services, particularly those employing Open Journal Systems.
Implementasi Forecasting Penjualan Obat Menggunakan Metode Straight Line Model Pada Apotek Ficus Bengkulu

Abstract: Forecasting is an analytical technique that uses historical data as input to make informed forecasts to determine the direction of future trends. Forecasting can be used for business actors to be able to manage and organize sales strategies and inventory in the following month or year. Ficus Bengkulu Pharmacy is one of the pharmacies in the city of Bengkulu which sells various types of medicines, both prescription and non-prescription. The processing of drug sales data is still conventional, so when pharmacists want to know drug sales and drug supplies they have to look at the records from the book so it takes a very long time. Therefore, an inventory application is needed that is able to record drug records and provide recommendations in the form of forecasting to maintain and control drug use and drug demand which is carried out every month. The forecasting method used is the Straight Line Model Method. Based on the implementation of Tremenza drug sales data for 2021, the results for forecasting Tremenza drug sales in 2022 are obtained every month from January to December 2022, where the average value of sales forecasting results per month is 1041 and an increase of 4.83% from average sales per month in the previous year.
PENERAPAN METODE LOGIKA FUZZY DALAM ANALISIS KEPUASAN MAHASISWA TERHADAP SISTEM PERKULIAHAN ONLINE

Abstract-In an effort to improve service quality, facilities and infrastructure are needed to support the service process provided. Where there needs to be proper treatment starting from the input, process, to the output of the services provided. Good relations and communication with the community are needed in an effort to maintain the continuity of a continuous service process. In assisting the analysis of student satisfaction, a fuzzy logic method is applied, namely Fuzzy Tsukamoto. The Tsukamoto method is an extension of monotone reasoning. In the Tsukamoto method, every consequence of a rule in the form of an If-Then must be represented by a fuzzy set with a monotonous membership function. The results of this study are that the application of Student Online Learning Satisfaction Analysis using the Tsukamoto algorithm has been successfully implemented and produces rules that are in accordance with what is desired.&#x0D; Primari Key : Application, Fuzzy Logic, Student Satisfaction.