Reviewerly/exHarmony huggingface dataset:
Sistem Pendukung Keputusan Penentuan Jenis Obat Yang Layak di Konsumsi Ibu-Ibu Hamil Dengan Metode Preference Selection Index

This research is a decision support system for determining the types of drugs that are appropriate for consumption by pregnant women using the Preference Selection Index (PSI) method. The Preference Selection Index (PSI) method is used to determine the types of drugs that are suitable for consumption by pregnant women based on criteria. The results of this study are a decision supporter for determining the types of drugs that are appropriate for consumption by pregnant women, the results of this system are only as initial recommendations to pregnant women in determining drugs that can be consumed without replacing the role of the real doctor because drugs from diseases Pregnant women who are more advanced still need expert doctors in handling them. From the results of the research that has been carried out, to apply the preference selection index method in determining the types of drugs that are suitable for consumption by pregnant women, 5 criteria are set, namely fat solubility, degree of ionization, molecular size, protein binding, dose. So according to the results of the analysis that has been carried out, drugs that are suitable for consumption by pregnant women are Paracetamol with an analytical value of 0.9758. To build a decision support system in determining the types of drugs that are suitable for consumption by pregnant women, the researchers first designed use case diagrams, class diagrams, databases, and built a system with PHP and MYSQL programming as the database.
A COMPREHENSIVE CYBERSECURITY FRAMEWORK FOR AFGHANISTAN’S CYBERSPACE

Need for cyber security framework to protect the evolving ICT Infrastructure and Cyberspace in the modern information society does not need any emphasis. Given the importance of cyber space for country development, many countries have invested large amount of money for cyber space application. Since, based on official documents, Afghanistan is in the process of integrating ICT into its critical information infrastructure, to this end, the country may face various challenges including cyber security. Due to various potential threats and risks to Afghanistan cyber security, a comprehensive cyber security infrastructure and strategy is necessary. Accordingly, Afghanistan has introduced an ICT security law. However, nowadays internet is involving great portion of government and nongovernment sections. The country must introduce a comprehensive and appropriate cybersecurity framework and strategy to tackle all of the issues and risks related to this arena. With the introduction of different ICT based technologies in the country, Afghanistan is moving towards embracing electronic culture in its day-to-day dealings. As these technologies are becoming popular and being widely used, it is important to put in place technological infrastructure and legal frameworks, which will safeguard the private and enterprise data flowing through these ICT based infrastructures. The aim of this paper is to propose a comprehensive cybersecurity framework for Afghanistan’s cyberspace in order to protect and assure data, information and IT infrastructure security in cyberspace, enhance capacities to prevent and response to cyber threats, protect the nation from the risk and vulnerability, damage from modern cyber threats and incidents through a variety of standardized institutional structures, policies and procedures, and eventually establish and achieve a Safe – Secure and Resilient cyber space for the government, businesses and citizens of Afghanistan.
Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community

Because traditional social media platforms continue to ban actors spreading hate speech or other forms of abusive languages (a process known as deplatforming), these actors migrate to alternative platforms that do not moderate user content to the same degree. One popular platform relevant for the German community is Telegram for which limited research efforts have been made so far. This study aimed to develop a broad framework comprising (i) an abusive language classification model for German Telegram messages and (ii) a classification model for the hatefulness of Telegram channels. For the first part, we use existing abusive language datasets containing posts from other platforms to develop our classification models. For the channel classification model, we develop a method that combines channel-specific content information collected from a topic model with a social graph to predict the hatefulness of channels. Furthermore, we complement these two approaches for hate speech detection with insightful results on the evolution of German speaking communities focused on hateful content on the Telegram platform. We also propose methods for conducting scalable network analyses for social media platforms to the hate speech research community. As an additional output of this study, we provide an annotated abusive language dataset containing 1,149 annotated Telegram messages.
SISTEM INFORMASI PERSEDIAAN OBAT MENGGUNAKAN METODE FEFO BERBASIS MULTI USER DI APOTIK ASSYFA FARMA

Inventory is a current asset that has a major role in the accounting cycle. Assyfa Farma Pharmacy is the business of an individual-owned dispensary that is developing in Mranggen District, Demak Regency. The problem faced by Assyfa Farma Pharmacy is that there is no minimum stock of goods because there is no warning that the stock will run out. The number of products that are almost entering the expiration date are on shelves and insecure data storage so that they have a very large risk of data being lost because it is stolen by irresponsible parties. This system will alert the user to the remaining stock of existing goods and the expiration date of the goods. The security of inventory processing data will be guaranteed with a password for users so that anyone cannot access the database. This inventory information system will be built with Microsoft Visual Basic 6.0 programming language, Microsoft SQL Server 2000 as database and multi user network using FEFO method as goods storage method.&#x0D;
Contact Tracing: A Forgotten Tool?

Contact tracing is done to interrupt the spread or transmission of the causative agent to others who are in close contact with the index case and are vulnerable by not being immune. Public health experts have relied on contact tracing to reduce the spread of infections throughout history. Now the same method is being used for COVID 19. The healthcare systems in developing countries are ill-equipped to respond to pandemics of this kind. Our healthcare facility effectively employed the traditional contact tracing tool that formed the basis of a strong support system for all those employees who contracted Corona virus infection.
A Comprehensive Study of Geochemical Data Storage Performance Based on Different Management Methods

The spatial calculation of vector data is crucial for geochemical analysis in geological bigdata. However, large volumes of geochemical data make for inefficient management. Therefore, thisstudy proposed a shapefile storage method based on MongoDB in GeoJSON form (SSMG) and ashapefile storage method based on PostgreSQL with open location code (OLC) geocoding (SSPOG)to solve the problem of low efficiency of electronic form management. The SSMG method consistsof a JSONification tier and a cloud storage tier, while the SSPOG method consists of a geocodingtier, an extension tier, and a storage tier. Using MongoDB and PostgreSQL as databases, this studyachieved two different types of high-throughput and high-efficiency methods for geochemical datastorage and retrieval. Xinjiang, the largest province in China, was selected as the study area inwhich to test the proposed methods. Using geochemical data from shapefile as a data source, severalexperiments were performed to improve geochemical data storage efficiency and achieve efficientretrieval. The SSMG and SSPOG methods can be applied to improve geochemical data storageusing different architectures, so as to achieve management of geochemical data organization in anefficient way, through time consumed and data compression ratio (DCR), in order to better supportgeological big data. The purpose of this study was to find ways to build a storage method that canimprove the speed of geochemical data insertion and retrieval by using excellent big data technologyto help us efficiently solve problem of geochemical data preprocessing and provide support forgeochemical analysis.
비대면 시대 학교 다문화교육과정 구축 연구: 다문화 역량을 중심으로

With the increasing diversity in the Non-Contact era, new demands for eliminating discrimination, promoting multicultural harmonious coexistence, and educational and social equality have been demonstrated. As the COVID-19 pandemic is deepening racial, ethnic, and social conflicts across the world, raising multicultural awareness and enhancing diversity tolerance are urgent issues of multicultural education. The Non-Contact requirements during the pandemic have also forced changes in the education sector. This study set out to design the multicultural education curriculum framework based on multicultural competence of knowledge, awareness, and multicultural interactive skills for schools in the Non-Contact era as well as teaching-learning methods and assessment approaches to promote equal participation in the education of all students and social justice in Korea.
Review On Current Path Planning Algorthms For Autonomous Robotic Applications

Robotic systems grow more and more popular each year, with a wide variety of applications in almost all aspects of our life, these applications range from mobile robots, industrial robots, surgical robots, and even space robotics.Now it might seem that the wide use of robots in modern life implies that the motion-planning problem has already been solved, However This is far from true.With increasingly more ideas being implemented by robotics systems in different applications, the desire for Autonomous path planning methods is at an all-time high.This paper will review the most up-to-date autonomous path planning techniques.Furthermore, we will list the advantages and disadvantages of these methods and conclude this review with some of the currently open research problems in the field.In general, the goal of path planning algorithms is to achieve the optimal path; the path that requires the least amount of energy (the closest path), reduce the travel speed, processing time (computation), and more importantly can avoid Obstacles and collision (whether they are Static or dynamic obstacles).This paper will contain the following methods that are currently being researched in different robotic systems; Coverage Path Planning, the Random Walk, Sampling-Based Motions Planning (this includes the Rapidly Exploration Random Tree, and the Probabilistic Road Map), the Artificial Potential Field method, Greedy Algorithms (such as: Dijkstra's, A*, etc.), Genetic Algorithms, Swarm intelligence (such as: Ant Colony Optimization, Particle Swarm Optimization, etc.), and finally the Machine Learning Algorithms, and Reinforcement Learning; two of the most hot research topics currently being explored in robotic systems.
How mobile phone application enhance human interaction with e-retailers in the middle east

The paper aims to provide a critical in-depth analysis of Mobile Phone Application's role in enhancing human interaction with E-Retailers, and more specifically, in the Middle East.First, the paper provides an outlook description of the definition and history of Mobile Phone Applications and human interaction and how the two complement each other.Next, the study outlines the various instances that human interaction with Mobile Phone Applications has led to E-retailer success and how it has come about.Then, the discourse provides an analytical look at the E-retailing Business in the Middle East while focusing on the history of E-retailing, business startups in the Middle East, and the revolution of E-retailing in the Middle East.Additionally, the research emphasizes the merits and demerits of using Mobile Phone Applications to promote and enhance E-commerce business in Middle East countries.Using relevant sources and credible references, the analysis will highlight the numerous instances Mobile Phone applications have been used by clients to connect with businesses that maintain an online presence.Using anthological, historical, and descriptive research methods, the arguments portrayed in this paper will heavily reflect on various case studies provided in the article.The case studies feature data representation from research conducted in the Middle East concerning Mobile Phone applications and E-commerce.Through focused approaches, this paper discerns, comprehend, and establishes the framework of the Middle East E-Commerce scene over the years, and outlines how far the industry has made progress through online platforms.Furthermore, emphasis will be laid on the market gaps left to fill in the E-commerce sector in the Middle East and the several approaches to better the industry.Lastly, this paper will conclude by providing my recommendations on the betterment of Mobile Phone Applications and how E-retailing can improve in the Middle East.
Analysis of Student Satisfaction Levels Against Services Campus STMIK Pelita Nusantara Medan using Fuzzy Servqual Method

STMIK Pelita Nusantara Medan is a private university located in the city of Medan, North Sumatra Province. At STMIK Pelita Nusantara, there are problems that occur, namely the lack of services provided by the campus, especially in responding to student complaints, causing dissatisfaction (disappointment) and causing a sense of discomfort. Then there are no methods and systems that can support student uncertainty about campus services, so a method is needed to be able to solve this problem properly, namely the Servqual method. To overcome this, a study was conducted on the Analysis of Student Satisfaction Levels on Campus Services at STMIK Pelita Nusantara using the Fuzzy Servqual Method. The Servqual method is a method that can be used to analyze problems with a service. In the Servqual method there are 5 dimensions as a measuring tool for the level of satisfaction, namely responsiveness with 4 statements, reliability with 8 statements, assurance with 4 statements, empathy (attention) with 4 statements, and tangible (physical evidence). ) with 10 statements. Thus, this criterion is a criterion that many students complain about so that it needs to be corrected immediately. While the criteria that rank lowest is the dimension of Responsiveness (responsiveness) and close to the satisfaction score for students.
SLC Guides: Improvements and Enhancements Working Group: Enhancements Through Voting

Improvements and enhancements on which the IE WG encourages SUNY participants to create suggestions and upvote through Ex Libris Idea Exchange
Operator-orthoregressive methods for identifying coefficients of linear difference equations

We propose a new family of operator-orthoregressive methods for identifying the coecients of linear dierence equations from measurements of noisy solution at short time intervals.This family includes special cases of orthogonal regression (TLS) and variational identication (STLS) methods.The conditions of identiability, as well as quantitative indicators of local identiability, based on the numerical characteristics of the ellipsoids of deviations of the identied coecients at small disturbances in measurements, are obtained.Computational algorithms are mentioned.
Exploration of Introducing Simulation &amp;amp; Calculation in Modern Analytical Technology Curriculum

Modern analytical technology is a curriculum of materials analysis and instrumentation.The basic theories of materials analysis contain microscale objects and complicated mathematical contents.It is uneasy for students to understand the knowledge by the traditional education method.Therefore, the simulation of powder X-ray diffraction and Raman scattering spectrum with computers serve as two teaching examples for the education research.The results demonstrate computational simulation explains the interaction of instruments and materials in an easy, intuitive and visual way, helping students in the future work of engineering or scientific research.
Creation of digital content in the oral production of english in the university higher education

The present research study was carried out to determine the influence that exists between the creation of digital content in the oral production of the English language in students of a public university with a high student population in Lima, Peru. The research is of a quantitative approach, substantive type with a non-experimental, descriptive correlational cross-sectional design in which instruments were applied to a representative sample of the study population made up of 134 students. This was followed by a pilot test with 30 students in order to determine the level of confidence of the instruments. To interpret the results, statistical descriptive analysis was used both in the creation of virtual contents and in the oral competence of the foreign language, after taking the forms in virtual media. The hypothesis testing resulted in the influence of the creation of digital content in the oral production of the English language, since after data processing in the statistical program Spss, a high direct and significant incidence between the variables resulted.
Welcome to science.org!

Over the past 2 weeks, the Science family of journals released its new website. Among the many big changes is its new URL: http://science.org/. For those of us who remember the launch of sciencemag.org 26 years ago, there is a nostalgic tug in retiring this web address, but science.org represents where we want to go with the journals. It’s also a moment to look back at how the American Association for the Advancement of Science (AAAS, publisher of the Science journals) has led the way in online scholarly publishing.
Kibbee Library: Eating Animals: Student Guide to Library Resources: Ask A Librarian

Online library guide for students in Prof. M. Fadem's courses Know the ways you can reach a librarian for more help
GNSS-and-GIS based android integration of mobile based virtual guide application ExpLahore for walled city Lahore, Pakistan

The expansion of technology by utilizing Global Navigation Satellite Systems (GNSS) integrated with Geographic Information System (GIS) has made life much easier and handy. Global interactions have given birth to tourism and intra-culture programs. Many foreigners as well as local tourists prefer to explore the sites on their own instead of a guide, this is quite adventurous but can be tedious too and brings along a lot of security risks. This research is based on design and development of an android application considering “Walled City, Lahore, Pakistan”. The application will help tourist geotag their information. This application has been developed with the fact to provide precise position through GNSS, the coordinates have been refined using ArcGIS and QGIS and placed in application using Android Studio and Adobe Illustrator. GIS allowed creating interactive queries, analyzing spatial information and map creation, shape file extraction and 99% precise coordinates than maps we use. In travelling world, geotagging is a great and trending feature that allows user to share their exact position. The application will locate user’s coordinates (Latitude and Longitude), current satellite count, precision, altitude, time and day. The guidance application helps user find the correct possible route to the monuments of walled City, Lahore. Information and precise location of 14 place groups of Lahore city, as well as precise route to them is also a feature of the application.
A word embedding approach to onomasiological search in multilingual loanword lexicography

In this paper we present an experimental semantic search function, based on word embeddings, for an integrated online information system on German lexical borrowings into other languages, the Lehnwortportal Deutsch (LWPD). The LWPD synthesizes an increasing number of lexicographical resources and provides basic cross-resource search options. Onomasiological access to the lexical units of the portal is a highly desirable feature for many research questions, such as the likelihood of borrowing lexical units with a given meaning (Haspelmath & Tadmor, 2009; Zeller, 2015). The search technology is based on multilingual pre-trained word embeddings, and individual word senses in the portal are associated with word vectors. Users may select one or more among a very large number of search terms, and the database returns lexical items with word sense vectors similar to these terms. We give a preliminary assessment of the feasibility, usability and efficacy of our approach, in particular in comparison to search options based on semantic domains or fields.
Interpreting Node Embedding with Text-labeled Graphs

Graph neural networks have recently received increasing attention. These methods often map nodes into latent spaces and learn vector representations of the nodes for a variety of downstream tasks. To gain trust and to promote collaboration between AIs and humans, it would be better if those representations were interpretable for humans. However, most explainable AIs focus on a supervised learning setting and aim to answer the following question: “Why does the model predict y for an input x?”. For an unsupervised learning setting as node embedding, interpretation can be more complicated since the embedding vectors are usually not understandable for humans. On the other hand, nodes and edges in a graph are often associated with texts in many real-world applications. A question naturally arises: could we integrate the human-understandable textural data into graph learning to facilitate interpretable node embedding? In this paper we present interpretable graph neural networks (iGNN), a model to learn textual explanations for node representations modeling the extra information contained in the associated textual data. To validate the performance of the proposed method, we investigate the learned interpretability of the embedding vectors and use functional interpretability to measure it. Experimental results on multiple text-labeled graphs show the effectiveness of the iGNN model on learning textual explanations of node embedding while performing well in downstream tasks.
A multi-dimensional approach for accepting and using e-learning cloud: A developing country perspective

The study investigates the issues on the acceptance and use of e-learning computing to propose appropriate solutions. This research was conducted by proposing a multi-dimensional model to influence the recipient's intention to accept and use cloud computing. The study variables were analysed using a quantitative approach, which included determining the validity of theoretical trends as well as the study hypotheses. Selected colleges of the universities of a middle eastern country were investigated for this study. Questionnaires were distributed among 375 students, and 369 of these questionnaires were retrieved. Ultimately, the sample size included 361 participants. The researchers used statistical data processing by SPSS, Amos and SmartPLS. The results of this study showed evidence of the crucial role of the proposed model in the acceptance and use of cloud computing e-learning.