Reviewerly/exHarmony huggingface dataset:
Pengujian Jaringan Saraf Tiruan Dalam Mendiagnosa Gangguan Jiwa Menggunakan Algoritma Backpropogation Levenberg-Marquardt

Mental disorders are mental health issues that make it hard to meet one's own or other people's needs. A person's life may be affected by changes in behavior brought on by this condition. To conquer this issue, a backpropagation calculation has been created to help with distinguishing mental problems. This calculation utilizes information got from mental tests to distinguish early indications of mental problems in an individual. With this calculation, psychological wellness experts can settle on additional quick and precise symptomatic choices. The Levenberg-Marquadt method and the backpropogation algorithm were used in this study to diagnose mental disorders. The aim of this study is to make it easier to diagnose mental disorders by analyzing a patient using the 24 attributes of the questions. After the diagnosis is made, the results will show up, and the Levenberg-Marquardt Backpropagation Algorithm will be used to test a person to see if they have bipolar disorder, OCD, or any other disorder. Researchers will have a difficult time determining the patient's mental illness if this diagnosis is not carried out. The aftereffects of this study are as demonstrative inquiries for mental issues that have been given. The Levenberg Marquadt method backpropagation algorithm is the bridge to accuracy, supporting this study's success. MSE is 24-10-1, with training performance equal to 0.000014246 and testing performance equal to 0.0000146. The diagnosis that comes out of it is more accurate the less error there is.
Decision Support System for Selection of Virtual Reality Head-Mounted Display Using the WASPAS Method

Virtual reality is a technology that allows one to carry out simulations by presenting three-dimensional visuals and atmosphere through a device called a Head-Mounted Display (HMD) or VR HMD. To make a VR HMD selection, users must know one by one the specifications of the product to be selected, this of course makes the selection process long and makes it difficult to make a choice. This study aims to develop a decision support system by implementing the Weighted Aggregated Sum Product Assessment (WASPAS) approach for selecting VR HMDs, in order to make it easier for users to make decisions. The WASPAS method can determine the best alternative through prioritization that is relevant to the weighting used. Based on the case study conducted, the best alternative results were Shinecon 6.0 VR Box with a value of 0.9021, followed by Enric VR Box with a value of 0.8965, Yoko VR Box with a value of 0.8179, VRPark VR Box with a value of 0.8158 and BoboVR Z5 VR Box with a value of 0.7827. The built decision support system has produced valid calculations, this is because the calculations obtained by the system with manual calculations produce the same value. On the results of usability testing get an average value of 90% and fall into the good category. This shows that the developed system is easy to use and feasible to implement.
Pengujian Device dan Blackbox pada Aplikasi Augmented Reality Alat Musik Tradisional Yogyakarta

One of Indonesia's provinces, D.I. Yogyakarta is rich in regional culture and arts, including traditional musical instruments, traditional weapons, and houses.Traditional musical instruments are one of Yogyakarta's typical local cultures.Traditional musical instruments are now a specialty of the province, especially in Yogyakarta, where Javanese culture is still strong and well-known.Concern for the preservation of national culture, particularly traditional musical instruments, has diminished significantly over time.One important reason for people's growing interest in Yogyakarta's culture is, for instance, the community's lack of exposure to and familiarization with it. Using Android-based Augmented Reality (AR) technology is one method for introducing younger generations to Yogyakarta traditional musical instruments. From 2D objects, users can directly view information, sound, and 3D objects with this technology.As a result, the researcher was motivated to develop an Android app that would teach students about a variety of Yogyakarta traditional musical instruments through the use of augmented reality. This application was developed using the Unity and Vuforia SDK software as libraries and C# as the programming language. In this study utilizing the MDLC (Multimedia Development Live Cycle) Multimedia Development Method which is limited only to the testing stage then in carrying out the testing using the Blackbox method as a method of testing the functionality of the applications that have been made.
A Simulation Study Comparing Tree-Based Methods in Identifying Interactions of Continuous and Binary Variables for Prediction of Increased Risk of Disease

Tree-based methods are commonly used to create models that predict an output based on several input variables. Classification and Regression Trees (CARTs) is a popular algorithm that builds tree-like graphs for predicting continuous and categorical dependent variables, but it has been shown to be biased toward the inclusion of continuous variables. Conditional inference is a technique used to alleviate this bias. C.Logic is an alternative tree-based method that uses Boolean logic to create classification trees. Previous research has shown that C.Logic is superior to CART in identifying interactions that lead to an increased risk of disease. No comparison has been made between the C.Logic package and CART with conditional inference as found in a package called Party. In this paper, a simulation study is used to compare the capability of these two algorithms to identify interactions between continuous and binary variables. It is found that while both methods succeed in identifying correct interactions, C.Logic is more effective. The C.Logic algorithm does a better job of alleviating the bias toward continuous variables when attempting to identify interacting variables that lead to an increased risk of disease.
Benzemezlik Dönüşümü Kullanarak Anizotropik Difüzyon Filtresinin Uyarlanabilir Eşik Seçimi

One of the most basic steps of image processing is denoising. Diffusion filters have been used for denoising for many years, as they protect the edges. The common problem of diffusion filters, which are still being developed today, is the user intervention requirements. The diffusion threshold value is currently selected by the user. In this study, a fully adaptive threshold value selection method is presented with the help of dissimilarity transform. The main contribution of the study is the proposal of dissimilarity transformation for anisotropic diffusion filters. Experimental results show that the threshold values determined by the proposed method effectively provide denoising without being affected by noise variance and preserve the edges.
Functor and Applicative Functor Usage in TypeScript

Leveraging functional programming concepts to make front-end application development faster and easier, with fewer bugs has been tried with pure functional programming languages such as Elm.Visible improvement in development time and application quality compared to JavaScript has been recorded.TypeScript is a multi-paradigm programming language, so it is possible to implement these concepts without switching languages.Functors and applicative functors are some of the key concepts of functional programming, useful for processing complex objects and collections of data.As TypeScript is often used to visualize lists of data retrieved from a server, functors and applicative functors could be used to process data into a format required for visualization.This paper presents theoretical explanations of the Functor and Applicative Functor concepts in category theory and provides their implementations in TypeScript, focusing on Maybe and List functors.The use cases were then shown, which demonstrate that they could be useful, especially when abstracting complex concepts, so they could be used and invoked on demand, usually with a simple command.
American Sign Language Alphabet Recognition and Translation

This paper presents a study on American Sign Language (ASL) alphabet recognition and translation.ASL is a complex language used by the Deaf community for communication.With the increasing dependency on technology in our daily lives, and with the increasing adoption of working from home, the successful inclusion of these communities in video calls and meetings is of great importance.With great advancements in Artificial Intelligence over the past years, it has now become possible to build, train and use proven to be powerful image-processing convolutional neural networks (CNN) for successful sign language recognition and translation into English text.The models have been trained and tested on a University of Exeter-derived dataset and have achieved high accuracy in this task.We have compared the results of several pre-trained models using transfer learning, as well as our own CNN.Our study shows great possibilities for improving communication between the Deaf and hearing communities.
Using AI Chatbots in Academia - the Opinions of University Students

The aim of this paper is to analyze the attitudes of students regarding the use of AI chatbots for academic purposes.The theoretical part of this paper offers an overview of previous theories, studies, and publications related to the use of ICT tools in education, the role of teachers in contemporary societies, and the goals of students in contemporary societies, as well as recent research on the use of A.I. in the public sphere, whereas the research part of the paper offers an original study conducted for the purpose of this conference.The research instrument was an online survey given to university students (78) with multiple types of questions, with the purpose of discovering whether our students were familiar with the concept of AI chatbots, had they ever used it, and, if so, for what purpose, and whether they would be willing to use it for academic purposes.
Creation of Structured Formatted Database for Alumni Project

An Alumni club, made up of former students, has been working at several prestigious Faculties of the University of Belgrade for a long time.Thanks to the contacts through this organization, as well as the help of former students of these Faculties, a large number of newly graduated students received useful advice first-hand, as well as the possibility of employment in successful companies in the country and abroad.The Academy of Applied Technical Studies Belgrade followed this example and formed Alumni Clubs in its departments and sections.In this way, the Alumni Club started working in the Computer-Mechanical Engineering Section.It took time for students who had graduated a long time ago to sign up for the club, but the response of students is getting bigger and bigger, so the need to create a database and appropriate applications emerged.A database in SQL server is created, after which advanced and automated queries for obtaining relevant data are developed in form of stored procedures.This paper presents two approaches to creating a formatted database in XML language, in order to enable better connection with the most popular programming languages such as Java, ASP.NET, C#, ColdFusion and others.In the first approach, selecting the appropriate button creates an XML document, and in the second approach filling in the text fields in the application, which is developed in the C# programming language, leads to its creation.
Style Adaptation Based On Image Processing Methods Using Cyclegan

Cycle-Consistent Generative Adversarial Networks (CycleGANs) are able to provide a highly under-constrained mapping between input and output data samples, i.e., source and target data domain, in cases when the aligned dataset is unavailable, in an unsupervised training fashion, using cycle-consistency loss mechanisms.On the other hand, most image-to-image and speech-to-speech translation tasks use the aligned, i.e., paired input-output training datasets.A large amount of data is necessary to train such architectures, while one of the domains could be scarce.Several possible improvements to the original CycleGAN architecture are analysed in this paper for the cases when only a small percentage of training samples are aligned among source and target data domains.A semi-supervised approach is proposed to achieve better translation accuracy and prevent overfitting of the scarce data domain discriminator during initial training iterations.The training database is augmented by adding samples generated by inverse CycleGAN mappings after several training epochs (when the network is sufficiently trained) into the training pool of the discriminator of scarce, i.e., reduced data domain.An additional optimization constraint is also proposed, aligning probability distributions of feature maps belonging to the same-depth neural network layers of direct GAN encoder and inverse GAN decoder, to reinforce resemblance among object representations in various data domains.Significantly better performances are obtained using proposed improvements in both image-to-image and speech-to-speech translation tasks, by observing standard qualitative and quantitative measures, in comparison to the baseline CycleGAN training approach.
Pyrorank: A Novel Nature-Inspired Algorithm to Promote Diversity in Recommender Systems

Recommender systems are essential to many of the largest internet companies' core products. Today's online users expect sites offering a vast assortment of products to provide personalized recommendations. Although traditional recommender systems optimize for prediction accuracy, such as RMSE, they often fail to address other important aspects of recommendation quality. In this paper, we explore the crucial issue of diversity in the recommendations generated by recommender systems. We explain why diversity is essential in recommender systems and review related work on diversifying recommendations. We quantify and classify various diversity metrics into logical categories. Then, we introduce Pyrorank, a novel bio-inspired re-ranking algorithm designed to improve recommendation diversity. Pyrorank is inspired by the positive effects of pyrodiversity in nature and is optimized to increase user-based diversity and mitigate the systemic bias that traditional recommender system models learn from the data. Our experimental results on multiple large datasets indicate that Pyrorank can achieve better user-based diversity metrics than state-of-the-art re-ranking methods, with little decrease in prediction accuracy.
Academic Libraries and Collaborative Research Services. Carrie Forbes, ed. Lanham, MD: Rowman &amp; Littlefield, 2022. 312 pp. Hardcover, $150 (978-1-5381-5368-0).

Collaboration has increased in importance in academic libraries over the past several years, both as a value and a model of work. While certainly not a new concept, cooperative work with campus partners, external partners, and within the library itself has become increasingly common. In Academic Libraries and Collaborative Research Services, editor Carrie Forbes (University of Denver) brings together a wide variety of perspectives on internal and external library collaborations. Fourteen chapters are divided into four sections, with topics including liaison work, cross-institutional and cross-continental partnerships, evidence synthesis, data literacy, and open scholarship. Academic librarians of all experience levels and in a wide variety of roles will be able to find something relevant to their work.
Impact of Environmental Factors on Fresh Water Snails and Cercarial Infection in Padamsar Pond at Jodhpur (Rajasthan)

A survey was undertaken in Padamsar Pond of Jodhpur district of Rajasthan. The analysisof study revealed that population of fresh water snails and cercarial infection was influencedby seasons.the investigation was carried out by May 2019 to March 2020. The present studyhas revealed that the following molluscan species were identified – Lymnea accuminata,Indoplanorbis exustus.
Continuous Integration and Continuous Deployment (CI/CD) for Web Applications on Cloud Infrastructures

&#x0D; At this time, the application development process has experienced much development in terms of tools and the programming language used. The application development process is required to be carried out in a fast process using various existing tools. The application development and delivery process can be done quickly using Continuous Integration (CI) and Continuous Delivery (CD). This study uses the CI/CD technique to develop real-time applications using various programming languages implemented on a cloud infrastructure using the AWS codepipeline, which focuses on automatic deployment. Application source code is stored on different&#x0D; media using GitHub and Amazon S3. The source code will be tested for automatic deployment using the AWS code pipeline. The results of this study show that all programming languages can be appropriately deployed with an average time of 60 seconds&#x0D;
Perancangan dan Evaluasi Sistem Informasi Klinik (Si-Klinik) Avicena Berbasis Website menggunakan System Usability Scale (SUS)

Technology that is increasingly advanced and developing at this time can be utilized and applied in all fields, including the health sector including clinics to provide effective and efficient services to the community. Avicenna Clinic is one of the clinics in Bantul Regency that gets a lot of patient visits for treatment. However, the service still uses a manual system starting from registration, storing patient data, administering drugs, and paying fees paid by patients. This causes problems in the form of taking a long time to register patients, difficult to find patient medical records, especially if the patient comes without a visiting card and information cannot be provided immediately if needed. Based on these problems, this study aims to design and design a website-based clinical information system to improve the quality of service to patients. In this study, the SUS questionnaire was used. The research flow begins with creating a clinical application UI design using the Adobe Photoshop CS3 application and the draw.io application. The number of respondents involved in this study amounted to 15 respondents using random sampling technique. The results of the study using the SUS questionnaire obtained an average score of 80 which was included in the grade or "Good" rating which indicated that the system was good and acceptable.
Analysis of modern digital civilization in the context of dominant paradigms of humanitarian education development: attempts of philosophical reflection

Aims: The purpose of the article is to reveal the relationship between digitalization and humanization in the local educational and worldview and in the global civilizational dimension. The task of the study is to highlight the philosophical justification of the functioning of the digital space in the context of educational development. In fact, an attempt (philosophical reflection) is made to reconcile the innovative component of ICT in the traditional fundamental field of education. Methodology: In order to achieve the goals of scientific research, a set of methodological approaches of general scientific, philosophical, and cultural dimensions has been actualized. The analytical component of the study is expressed in the systematization of the achievements of the digital world and the structuring of this potential in the educational sphere. The comparative analysis reveals the ways of balancing innovative elements with fundamental humanitarian principles on the example of aligning ICT with natural, social, and technical knowledge clusters. Results: The results of the study outline several formats of coexistence of digital innovations and fundamental humanitarian educational principles: gradual elimination of the humanitarian component from the scientific and ideological educational paradigm and its replacement by technology; preservation of the dominant status of humanitarian knowledge as a normative element of the global regulator of socio-cultural activity; balance between innovative and fundamental trends in education, which are expressed in the ratio relevant to the educational environment: hard-skills &amp; soft-skills; achieving harmony in the process of development of digitalization and humanization of education and culture through synergistic interaction. Scientific Novelty: The scientific novelty of the article lies in the search for cultural and educational compromises in the confrontation of new guidelines for the development of the digital society with the humanitarian principles of the existence of the same society. Coverage of the dichotomous worldview confrontation will outline the format of a potential clash between innovation and fundamentalism in the educational and cultural spheres. At the same time, the philosophical understanding of these risks will allow us to develop an educational strategy that will propose algorithms for regulating the cultural and educational dichotomy. Conclusion: The scale of digitalization is growing rapidly, claiming the status of a dominant cultural and educational element. Under such conditions, contradictions between information and digital technologies and traditional anthropological qualities are inevitable. The role of philosophy in the cultural and educational space is to maintain a balance between rapid innovation and prudence of introducing new ideas.
Retraction: Design and Implementation of Acquire Carriage for Disabled people in a Visual Surveillance Using Character Recognition (J. Phys.: Conf. Ser. 2335 012022)

This article has been retracted by IOP Publishing following an allegation that this article may contain Tortured Phrases[1]. IOP Publishing has investigated in line with the COPE guidelines and have found the article contains unconventional terms which has no significant relevance to the text and agree this article should be retracted [2]. The authors neither agree/ disagree to this retraction. [1] https://pubpeer.com/publications/367558C5E357710A3D44E501E644EB [2] S Nivash et al 2022 J. Phys.: Conf. Ser. 2335 012022 Retraction published: 07 July 2023
THE EFFECT OF REINFORCEMENT ON STUDENTS' LEARNING ACHIEVEMENT IN THE FIELD OF ISLAMIC STUDIES AT SMP NEGERI 34 MAKASSAR

&lt;p&gt;This article discusses the Effect of Reinforcement on Students' Learning Achievement in the Field of Islamic Studies at SMP Negeri 34 Makassar". The main issues that will be discussed in this thesis are: 1) How is the application of reinforcement in the field of PAI studies at SMP Negeri 34 Makassar. 2) How is the learning achievement of students in the field of PAI studies at SMP Negeri 34 Makassar. 3) Are there any a significant effect of providing reinforcement on student learning achievement in the field of Islamic studies at SMP Negeri 34 Makassar. The purpose of this study was to determine whether the provision of reinforcement has an influence on the learning achievement of students in the field of Islamic studies at SMP Negeri 34 Makassar. The type of research is quantitative, the data is in the form of numbers and uses statistical analysis. The population in this study were students of class VIII SMP Negeri 34 Makassar, amounting to 259 people. While the sample is class VIIIC, VIIIE, and VIII, namely 92 people with a sampling technique using purposive random sampling. Based on the results of the analysis obtained, namely in the regression equation, it is known that if the value of X is increased, then the value of Y will also increase or in other words that X is directly proportional to Y. It means that the higher the reinforcement that students have, the learning outcomes will also increase. more increasing. Furthermore, it is also obtained Fcount Ftable or 106.91 3.10 then Ha is accepted and H0 is rejected. This means that there is a significant influence between the provision of reinforcement on the learning achievement of class VIII students of SMP Negeri 34 Makassar&lt;/p&gt;&lt;p&gt; &lt;/p&gt;