Reviewerly/exHarmony huggingface dataset:
PELATIHAN KONSERVASI AIR TANAH PADA KAWASAN TERBANGUN DI DAS WANGGU KOTA KENDARI SEBAGAI UPAYA PENCEGAHAN BANJIR

Kendari City is part of the Wanggu watershed, which is one of the cities that still has problems related to waterlogging and flooding. Based on historical data in the last 10 years, Kendari City is an area that floods occurs almost every year. Therefore, to deal with problems in the Wanggu watershed, especially in Kendari City, it is necessary to apply water conservation technology by applying biopore infiltration holes. The purpose of this community dedication is to conduct water conservation education for flood prevention to youth groups and the community through environmental care Action. The method used in groundwater conservation activities is a participatory approach through a pilot unit involving the youth group and the local community. This activity has succeeded in making biopori infiltration holes which are applied to places that are flooded when it rains. The making and installation of biopore infiltration holes was carried out to 15 points of standing water as a pilot. the performance of the installed biopori goes well and functions as it should. This process has been monitored at the stage of monitoring and evaluation activities during the process and after the implementation of the activities.
effect of organizational immunity in enhancing the strategic capabilities of the company: an applied study on the Iraqi general insurance company

This research diagnoses the impact of the organizational immunity dimensions represented by the organizational (memory, genes, and learning) on enhancing the strategic capabilities dimensions of the company represented by (marketing capabilities, administrative capabilities, technological capabilities, creative capabilities). The study also tries to list those dimensions in the order of priority. The researchers adopted the questionnaire as a tool for collecting data from 55 officials at the administrative levels (higher, middle, and lower levels). SPSS, (28Version) was used to calculate (weighted mean scores, standard deviation, relative importance, coefficient of variation, simple and multiple regression, F-test, corrected interpretation coefficient AR²). The most prominent findings of the research are: The organizational immunity, with its combined dimensions, affects the strategic capabilities of the company in a significant way. However, there are no statistically significant differences in the participants' response to the research variables attributed to the personal and functional variables represented by (gender, age, educational qualification, administrative level and the years of service).
Achieving reading comprehension through integrated vocabulary instruction

Reading and vocabulary have long been considered an intrinsic connection to help students acquire the language, but the literature suggests vocabulary as a pivotal feature to guarantee reading comprehension. This research study from a master's dissertation tried to explain the gains and perceptions of integrated vocabulary instruction on reading comprehension performance. To accomplish the aim of the study, sixty-six A1 EFL students from a rural public school in their first baccalaureate year were selected and assigned into two groups (traditional and integrated). All participants took part in eight reading lessons with their designated vocabulary instruction. After each class, they took a reading comprehension test based on literal comprehension questions. Moreover, at the end of the research, the perceptions of the experimental group (integrated instruction) were gathered. After analyzing the data, this study found that integrated vocabulary instruction can lead to higher reading comprehension achievement at a beginner level of proficiency. Moreover, this research proposes an extensive study on the benefits of integrated instruction when working with upper proficiency levels.
Pengembangan Rangkaian Mesin Penetas Telur Unggas

To meet the demand for chicken meat in the NTB Province, the NTB Provincial Government has developed the concept of a large-scale and integrated poultry village called the Chicken Satellite program. The program facilitates poultry farmers and entrepreneurs with supporting facilities such as heating machines and egg incubators. Egg incubators held by the government apply manual settings so that every time they start hatching the user makes settings. In this study, an egg incubator was developed that can store the incubation indicator settings until it hatches into a hatching profile. the profile contains incubation mode, hatch mode, or incubation mode until hatching repeatedly. the user can go back to using those profile settings without resetting all the indicators required for eggs to hatch. By using ESP8266 as processing core. AHT10 as a sensor to measure temperature and humidity. The method used for this research is the Research and Development (RD) method. The test results show that all incubation and hatching indicators can be stored in a profile. saved profiles reach 100 different profiles.
SUBTRACTION OF BACKPROPAGATION INTERFERENCE BASED ON POLARIZATION IN UNDERWATER VISION SYSTEMS FOR OPERATION IN TURBID WATER

The study of the sea depths in order to ensure safety, the effective use of underwater resourcesis an urgent task. The first part of the article briefly considers the physical phenomena andlimitations that arise during the propagation of electromagnetic waves in the visible range in theunderwater environment. It is shown that underwater vision systems (as a class of specializedtechnical vision systems - TVS) based on conventional CCD matrices face a number of fundamentallimitations in terms of improving the efficiency of functioning in natural water of low transparency.In particular, the use of artificial light sources as part of underwater vision systems in turbidwater leads to the occurrence of backpropagation interference (BPR), which leads to spuriousillumination of the optical device matrix. As a promising direction in the development of underwatervision systems, it is proposed to use methods for subtracting POR based on information aboutthe polarization of light. In the review part of the article, the latest achievements in this field areconsidered. The main part of the article presents the methodology for studying the proposed methodfor subtracting the POR based on a comparison of the results obtained by processing imageswith known methods for estimating the Stokes vector parameters DoLP and AoLP, which allowobtaining information about the degree of polarization and the prevailing polarization angles ofthe scene, respectively. The experimentally obtained results of processing an underwater scene inwater of varying degrees of turbidity using the DoLP, AoLP algorithms and the proposed methodsfor subtracting the POR are presented. Distinctive features are the use of four rather than twopolarization directions in calculations, as well as the original mathematical apparatus for processingsignals from the machine vision camera matrix.
STUDY OF PATH PLANNING METHODS IN TWO-DIMENSIONAL MAPPED ENVIRONMENTS

The article studies the problem of motion planning in two-dimensional mapped environments.The review and analysis of known planning algorithms based on Voronoi diagrams, probabilisticroad maps, rapidly growing random trees, Dijkstra algorithms, A*, D* and their modifications, artificialpotential fields and intelligent heuristics are carried out. Based on the analysis, it is concludedthat classical methods in dynamic environments require significant costs in terms of calculation timeand the amount of memory used. The conclusion is made about the relevance of the development ofalgorithms that increase the efficiency of known planning methods. In this regard, this article is devotedto the development of a modified algorithm of rapidly growing random trees and the study of itseffectiveness in comparison with known methods. The article presents a modified algorithm for rapidlygrowing random trees, characterized in that when checking for a path to a new potential node ofthe tree, the path to some area near the specified node is checked. This reduces the number of nodesin the tree under construction. The developed algorithm is first compared with the traditional algorithmof fast-growing random trees. The comparison is made by the trajectory calculation time, theamount of memory required, the path length and the percentage of situations in which the trajectoryto the target point was successfully found. Next, the developed algorithm is compared with the planningalgorithms of other classes. The study uses representative samples of numerical experiments andvarious environments that differ in the density of obstacles and the presence of mazes. A study ofplanning algorithms using the results of experiments on a ground-based wheeled robot is also beingconducted. Based on the results of numerical and real experiments, conclusions are drawn about theadvantages and disadvantages of the developed algorithm of motion planning and the feasibility of itsapplication in various environments.
RESEARCH AND DEVELOPMENT OF A QUANTUM CODE FOR ERROR CORRECTION

Quantum error correction (QEC) is required in quantum computers to mitigate the impact of errorson physical qubits. The goal is to optimize the neural network for high decoding performance whilemaintaining a minimalistic hardware implementation. The errors associated with decoherence can bereduced by adopting QEC schemes that encode multiple imperfect physical qubits into a logical quantumstate, similar to classical error correction. The relevance of these studies lies in the mathematicaland software modeling and implementation of corrective codes to correct several types of quantumerrors in the development and implementation of quantum algorithms for solving classes of problems ofa classical nature. The scientific novelty of this direction is expressed in the elimination of one of theshortcomings of the quantum computing process. The development of the theory and principles for constructingmodeling systems that are resistant to external interference (dependence of data distortion onnoise, dependence of the error of a quantum computing process on the measure and purity of entanglement)for modeling quantum computing is a dynamic area, as evidenced by a large number of existingmodels reflecting certain quantum computational processes and phenomena (quantum teleportation,parallelism, entanglement of quantum states) and scientific papers. Although quantum computing is notyet ready to move from theory to practice, it is nevertheless possible to reasonably guess what form aquantum computer might take, or, more importantly for programming language design, what interface itwould be possible to interact with such a quantum computer. It is natural to apply the lessons learnedfrom the programming of classical computing to quantum computing. The analysis of works in this areashowed that a new qualitative level has now been reached, which opens up promising opportunities forthe implementation of multi-qubit quantum computing. Prospects for implementation and developmentare associated not only with technological capabilities, but also with the solution of issues of buildingeffective quantum systems for solving actual mathematical problems, cryptography problems and control(optimization) problems.
An Intelligent Approach to Automatic Query Formation from Plain Text using Artificial Intelligence

Man have always been, inherently, curious creatures. They ask questions in order to satiate their insatiable curiosity. For example, kids ask questions to learn more from their teachers, teachers ask questions to assist themselves to evaluate student performance, and we all ask questions in our daily lives. Numerous learning exchanges, ranging from one-on-one tutoring sessions to thorough exams, as well as real-life debates, rely heavily on questions. One notable fact is that, due to their inconsistency in particular contexts, humans are often inept at asking appropriate questions. It has been discovered that most people have difficulty identifying their own knowledge gaps. This becomes our primary motivator for automating question generation in the hopes that the benefits of an automated Question Generation (QG) system will help humans achieve their useful inquiry needs. QG and Information Extraction (IE) have become two major issues for language processing communities, and QG has recently become an important component of learning environments, systems, and information seeking systems, among other applications. The Text-to-Question generation job has piqued the interest of the Natural Language Processing (NLP), Natural Language Generation (NLG), Intelligent Tutoring System (ITS), and Information Retrieval (IR) groups as a possible option for the shared task. A text is submitted to a QG system in the Text-to-Question generation task. Its purpose would be to create a series of questions for which the text has answers (such as a word, a set of words, a single sentence, a text, a set of texts, a stretch of conversational dialogue, an inadequate query, and so on).
Sociocultural Orientation and Perceived Utility of Base Rates in Self and Social Judgments of Cyber Risk

Despite ground-breaking technological advances, scientists still have difficulty patching one of the most threatening bugs in the cyber world: human error. Individuals constitute a unique vulnerability in cybersecurity because they systematically make errors when perceiving their own risk. Specifically, individuals underestimate their own susceptibility to cyber-attacks. Among the most common ways companies seek to improve security is presenting clients and employees with base rate information on the prevalence of cyber threats and the likelihood of the general population to succumb to them. This strategy is intended to increase the accuracy with which clients and employees assess their threat levels. However, outcomes typically fall short of this goal. We review the differential use of base rate information as a cognitive and motivational bias that contributes to forecasting errors and accuracy in self and social risk assessment. We also examine two dimensions of sociocultural orientation: individualism-collectivism and tightness-looseness-and their potential influence on the use of base rate information. We discuss implications for interventions that could mitigate the threat of cyber-attacks
Pengembangan Aplikasi Pembelajaran Matematika Digital Interaktif Berbasis HTML 5 Pada Android Dan Windows Untuk Materi Transformasi Geometri Kelas IX

This study aims to determine (1) the validity level of an interactive digital mathematics learning application product based on HTML5 on Android and Windows for geometry transformation material for grade IX, (2) student responses and teacher responses after using interactive digital mathematics learning applications, (3) implementation of learning using interactive digital mathematics learning application products, (4) the level of understanding of students' mathematical concepts after using interactive digital mathematics learning applications. This product development research design uses the 4D model, namely Define, Design, Development, Disseminate. The subjects in this study were 60 students of SMP Perguruan Rakyat 3 Jakarta grade 9. The results of the validity test for interactive digital mathematics learning application products through the alpha test on the five validators produced an average value of 4.45 (very valid). Furthermore, in the small group beta test each obtained results of 4.25 (very valid) and 4.73 (very valid). The results of the large group product validity test for student responses and teacher responses after use obtained results of 4.22 (very good), and 4.51 (very good). The results of the implementation of learning using interactive digital mathematics learning applications through the results of observations of the implementation of teacher learning activities and student activities obtained results of 92.53% and 90.80%, respectively. The results test of the students' ability to understand mathematical concepts showed that 81.67% of the students had achieved the minimum completeness criteria (KKM) score with a class average score of 82.
Improving Journal Article Tag Suite for multilingual articles

The scenarios for journal articles that contain more than one language are no longer (and never really were) limited to having an article’s title, abstract, and keywords translated to additional languages. Journal Article Tag Suite (JATS) currently has a variety of structures for tagging articles that are in multiple languages or have substantial amounts of content in more than one language. However, these structures are not all coherent and are not up to the tasks of handling some common use cases. A subcommittee of the National Information Standards Organization (NISO) JATS Standing Committee (with participation from members of the Standards Tag Suite (STS) and Book Interchange Tag Suite (BITS) committees and some other invited experts) was formed, in 2021, with the goal of recommending changes to JATS to enable it to usefully encode multilingual articles. The subcommittee has recommended a set of changes that introduce new structures that can be available to JATS users who need them while minimizing the burden JATS users who rarely deal with multilingual content. Most of these changes are backward compatible with earlier versions of JATS. These changes are currently a work in progress and may become available in a future version of JATS. This paper presents a proposal for improving JATS to better support tagging multilingual articles with the hope of garnering feedback and suggestions from the JATS community.
THE ISSUE OF RECOGNITION AS A SOURCE OF EVIDENCE IN CRIMINAL PROCEEDINGS OF ELECTRONIC (DIGITAL) DOCUMENTS

Based on the analysis of the nature of electronic (digital) documents, the article defines the theoretical and practical aspects of recognizing digital documents as a source of evidence in criminal proceedings. It is noted that the carriers of electronic documents can be documents or documents-tangible evidence in terms of procedural significance. I state that the issue of the unity of the content of an electronic document and its form (carrier) is important from the standpoint of the admissibility of an electronic document as evidence. The primary material carrier and the factual data that are of interest to the process of proof must form an inseparable unity, provided that such a carrier, by its procedural nature, is a material evidence document. And such a unity of content and form is not necessary, provided that the carrier of computer data is a document by its procedural nature. Separate recommendations are formulated aimed at ensuring the admissibility of an electronic (digital) document as evidence, in particular: 1) the admissibility of a document as a source of evidence will depend on the accuracy of compliance with the requirements for formalizing the results of an investigative (detective) action, in particular, regarding the description of the content of computer data, their packaging, typographical errors, signing of packaging material, etc.; 2) law enforcement officers must perform all their actions in compliance with the rules apply specifically to the circulation of electronic (digital) documents; 3) for a subject that performs actions to obtain (copy) computer data, it is mandatory to use an electronic signature. This will significantly simplify the decision about proof of the reliability and authorship of the electronic (digital) document. Attention is also focused on the problem of recognition as a source of evidence of electronic documents containing a copy of unstable computer data from cyberspace. Even though the law declares equal conditions for the use of the original electronic (digital) document and its copy in the process of proving, the subject of proof should be as responsible as possible for their proper certification and apply measures aimed at ensuring that the original source is preserved unchanged. Key words: proof, admissibility, electronic (digital) document, electronic media, computer data, factual data.
Suç Veri Setini Analiz Etmek İçin Makine Öğreniminde Örnekleme Teknikleri ve Uygulaması

Machine learning enables machines to learn information and make inferences using the information it has learned. In this article, five years of crime data were analyzed and the learning process was completed with the data in the machine's hands. One-Hot Encoding and Min-Max Normalization methods and Principal Component Analysis algorithm were used in the analysis of the data. The model was asked to predict whether the criminal could be caught, the security of the area, and the type of crime committed using the K-Nearest Neighborhood, Random Forest and Extreme Gradient Boosting algorithms. However, no matter how successful the model is in imbalanced datasets, the result will be misleading. Therefore, the main purpose of this article is to transform the imbalanced data into a balanced one by various methods and to find the most accurate sampling method for the data, which is compatible with the classification method. For this purpose, one statistical sampling method (Stratify), three over sampling method (Random Over Sampler, Synthetic Minority Over, Adaptive Synthetic), three under sampling method (Random Under Sampler, Near Miss, Neighborhood Cleaning Rule) and mix samplig method (Smote Tomek) have been applied to avoid imbalance of data in target areas such as Arrest, Crime Type,Security. As a result of the sampling methods applied, efficient and effective results were obtained.
Virtual Worlds: A New Open Access Journal of Virtual Reality, Augmented and Mixed Reality Technologies, and Their Uses

Books, movies, and performances create virtual worlds [...]
Language Translation Using Artificial Intelligence

Abstract: Language is the unit of our whole communication system. As we all know there are many languages in our world depending on their geographical location, so to remove this language differences or language barrier ,here we explain language translator system in this paper. It focuses on the translator system from English to Bengali and vice versa using machine translation. Bangla is widely spoken language and it is the fifth most spoken native language and the seventh most spoken language by the overall variety of speaker in the world. But there are only a few researches in Machine Translation (MT) for Bangla have been seen in the literature previously. Therefore this paper represents to explain a MT system for English-Bangla and BanglaEnglish translation. Our focus is to help the students to feel a comfort to understand their lesson in different languages. Machine Translation is a revolutionary technology , and day by day it improves. The newest phase of machine translation is Neural Machine Translation (NMT), which is based on the development of artificial intelligence. In this paper we are proposed a type of English-Bangla language translator which based on the Encoder-Decoder model of NMT.
Suberesolving codes

‎We show that any right continuing factor code with retract 0 into an irreducible shift of finite type is right eresolving‎, ‎and we give some sufficient conditions for a right eresolving almost everywhere code being right eresolving everywhere‎. ‎Suberesolving codes as a generalization of ersolving codes have been introduced and we determine some shift spaces which preserved by suberesolving codes‎. ‎Also‎, ‎we show that any bi-eresolving (resp‎. ‎bi-suberesolving) code on an irreducible shift of finite type (resp‎. ‎a synchronized system) is open (resp‎. ‎semi-open) and any right suberesolving code on a synchronized system is right continuing almost everywhere‎.