Reviewerly/exHarmony huggingface dataset:
Research on Evaluation Method of Unmanned Reconnaissance Equipment

Unmanned reconnaissance equipment has promoted the advancement of unmanned reconnaissance technology, but its rapid development has brought higher requirements for performance, cost, reliability, safety and other aspects. Among many evaluation methods, Analytic Hierarchy Process (AHP), Fuzzy Comprehensive Evaluation (FCE), and Multi-Attribute Decision Making (MADM) are widely used evaluation methods. AHP is a commonly used evaluation method, which has strong comprehensiveness and can fully consider index factors; FCE evaluates from different perspectives and has certain flexibility; MADM comprehensively considers the interrelationships and influences among indicators and can avoid the influence of individual experience factors of decision-makers. However, in practical applications, the evaluation results of a single method may be biased. This article summarizes and reviews the above evaluation methods. Firstly, it introduces the current development status of unmanned reconnaissance equipment. Then, it introduces various evaluation methods. Next, it introduces the application of unmanned reconnaissance equipment in different fields. Finally, it summarizes the advantages and disadvantages of various evaluation methods and prospects for the evaluation research of unmanned reconnaissance equipment. The aim of this article is to provide reference and inspiration for researchers in related fields.
Analisis Manajemen Dana Bantuan Operasional Sekolah Dalam Meningkatkan Mutu Pembelajaran di SD Negeri 024772 Binjai

This study aims to find out how the management of school operational assistance funds at SD Negeri 024772 Binjai. Sources of data came from school principals, supervisors, teachers and school committees at SD Negeri 024772 Binjai through interviews, documentation studies and observations. This study found that the School Operational Assistance (BOS) fund program was implemented in accordance with the provisions of the Minister of National Education Regulation Number 51 of 2011 concerning technical guidelines for the use of BOS funds and BOS financial reports. There is the participation of interested parties (school principals, parents of students, community leaders, education observers, the business world, and other members of the community) to contribute incentives in the management of BOS funds. Planning for the use of BOS funds at SD Negeri 024772 Binjai was carried out by compiling a RKTS. RKTS is a plan to obtain education funding from various sources of income as well as an annual work program composition consisting of a number of routine activities and several other activities accompanied by details of the financing plan in one fiscal year. Management of school operational funds at SD Negeri 024772 Binjai has been very effective in improving the quality of learning.
Personalized Movie Recommendation System

In the digital world of today, where there is an infinite amount of content to consume, including movies, books, videos, articles, and so on, finding content that appeals to one's tastes has become challenging. On the other hand, providers of digital content want to keep as many people using their service for as long as possible. This is where the recommender system comes into play, where content providers suggest content to users based on their preferences. Web applications that offer a variety of services and automatically suggest some services based on user interest increasingly rely on recommendation systems. Different business services each play a significant role in the success of the current marketing field. The personalize recommendation technique is one of the most valuable tools for providing personalized service on websites. When it comes to e-Commerce's online marketing efforts, this strategy is extremely useful. To build the proposal framework, the cooperative sifting is exceptionally helpful advances in the field of recommender frameworks. The accuracy of recommendation engines is the source of many issues in today's web. Therefore, a variety of strategies are utilized to enhance the recommendation system's diversity and accuracy. When generating recommendations, the fundamental recommender systems typically take one of the following into account: The Content-Based Filtering, which is based on the user's preferences, it describes things, and we use keywords other than the user's profile to show what the user likes and dislikes. To put it another way, CBF algorithms suggest products that people have liked in the past or products that are similar to them. It looks at what you've liked in the past and suggests the best match, Or a collaborative filtering system makes recommendations for items based on how similar users and/or items are measured. The CF system only suggests products that are popular with similar types of users. The development of a movie recommendation system with category-based recommendations, more precise results, increased efficiency, and overcoming the cold start are the goals of this system.
An Empirical study of Hybrid Cryptographic Algorithms

For the last few decades cloud computing is a blooming word in the field of computer science. Cloud computing is a fast growing technology; it provides various services to the user through internet on demand. Now a days, people in busy move, they use Cloud to store and retrieve data at anywhere, any time without use of any physical storage devices like pen drive, compact disc etc . Enormous features of cloud, most of the small and large scale organizations outsource their data in cloud data storage. With the widespread application of cloud, huge amount of users are incorporated in public cloud, it may lead to vulnerable attacks. So security and privacy is an important factor in cloud environment. This security problem can be solved by various ways. Cryptography is one of the techniques to secure user data in cloud. Researchers can use various cryptographic algorithms to implement the security in cloud storage. This paper focuses the summative analysis of researches, in cloud security from 2018-2022. This survey paper provides solution to researchers who have their work in cloud.
Early Detection of Cancer using Machine Learning (ML) Techniques

Early detection of cancer sickness leads to rapid treatment, reducing the risk of morbidity and mortality. The diagnosis of oral cancer continues to be a challenge for dental careers, particularly in the location, evaluation, and review of early-stage oral disease. Due to the lack of optimal analysis using conventional methods, oral cancer is identified and grouped using AI at an early stage. AI techniques are used to show the movement and treatment of dangerous locations and may accurately predict future disease effects. AI techniques are used to show the movement and treatment of dangerous locations and may accurately predict future disease effects. A combination of expert AI and highlight determination calculations produces improved results in the early detection and forecast of oral cancer. The main goal and commitment of this audit study is to summarize the use of AI technologies for accurate early prediction of oral malignant development.
Perilaku Belanja Webrooming Intention Pada Mahasiswa Fakultas Ekonomi Dan Bisnis Universitas Dharma Andalas

The purpose of this study was to determine the effect of perceived usefullness of online search, perceived ease of online search, need for touch, sales staff assistance, socialization on the webrooming intention of FEB Dharma Andalas University students. The research sample consisted of 292 people using the Slovin formula. Primary data was collected using a non-probability sampling technique using a Likert scale questionnaire. All the results of the instrument test and the classical assumption test complied in order to obtain the equation Y = 0.028 + 0.095X1 - 0.291X2 + 0.406X3 + 0.486X4 + 0.156X5 + e. The results of partial hypothesis testing show perceived usefullness of online search, perceived easy of online search, need for touch, sales staff assistance have a significant positive effect on webrooming intention of FEB students at Dharma Andalas University except socialization has a significant negative effect on webrooming intention. Correlation of perceived usefullness of online search, perceived ease of online search, need for touch, sales staff assistance, socialization with high webrooming intention 0.915. Perceived usefullness of online search, perceived ease of online search, need for touch, sales staff assistance, socialization is able to explain the webrooming intention of undergraduate students of Management FEB Dharma Andalas University by 0.835 while the remaining 0.165 is explained by other variables not included in the research model.&#x0D; &#x0D; ABSTRAK&#x0D; Tujuan penelitian ini adalah mengetahui pengaruh perceived usefullness of online search, perceived easy of online search, need for touch, sales staff assistance, socialization, terhadap webrooming intention mahasiswa FEB Universitas Dharma Andalas. Sampel penelitian terdiri dari 292 orang menggunakan rumus Slovin. Data primer dikumpulkan dengan teknik non probability sampling menggunakan angket skala Likert. Semua hasil uji instrumen dan uji asumsi klasik memenuhi sehingga didapat persamaan Y = 0,028 + 0,095X1 - 0.291X2 + 0.406X3 + 0,486X4 + 0,156X5 + e. Hasil pengujian hipotesis secara parsial menunjukkan perceived usefullness of online search, perceived easy of online search, need for touch, sales staff assistance berpengaruh positif signifikan terhadap webrooming intention mahasiswa FEB Universitas Dharma Andalas kecuali socialization berpengaruh negatif signifikan terhadap webrooming intention. Korelasi perceived usefullness of online search, perceived easy of online search, need for touch, sales staff assistance, socialization dengan webrooming intention tinggi 0,915. Perceived usefullness of online search, perceived easy of online search, need for touch, sales staff assistance, socialization mampu menjelaskan webrooming intention mahasiswa prodi S1 Manajemen FEB Universitas Dharma Andalas sebesar 0,835 sedangkan sisanya 0,165 dijelaskan oleh variabel lain yang tidak termasuk ke dalam model penelitian
Hello, Are You Listening?!

Past research has suggested that organizational listening motives and strategies align with those for interpersonal listening. In this study, researchers examined how stakeholders (n = 299) rated an organizational account’s response – or evidence of listening – to social media posts. It was expected that responses demonstrating higher levels of active-empathic listening would be rated as more appropriate and effective. Results provide partial support for this prediction and indicate that situational contingencies can mediate the amount of active-empathic listening a response should provide. The appropriateness of organizational social media accounts using emojis, GIFs, and memes was also investigated, with about equal thirds of respondents saying they were acceptable, neutral, or unacceptable. Instances when it would be considered appropriate were to align with the style of the stakeholder’s message, in response to a positive review, to convey a stronger indication of the message, and when messaging involved friendly or happy content. Implications for organizational social media managers and future directions for research are discussed.
Algebraic approach to the analysis of legal documents

In this study, problems regarding the analysis of law articles and their conformance to legal documents are considered. The algebraic approach is used for the formal verification of legal texts that is presented as specification of behavior algebra. Having a formal presen- tation of legal texts allows for the application of algebraic methods, such as symbolic modeling, automatic proving of statements and algebraic matching. The approach was implemented for Ukrainian-language legal documents to detect inconsistency, incompleteness, and prove conformance. The analysis of legal texts has been implemented for Tax code and examples of inconsistency of some statements were demonstrated in the paper. Another experiment has been performed for checking of conformance of court statements, agreements, licenses, new laws, taxation acts to the articles of law with usage of methods of algebraic matching. The formalization of legal documents, like court verdicts, shall be implemented fully automatically, and the existing database with such documents shall provide the possibility to use big data technologies and machine learning. In this study, we consider the use of the algebraic approach in the analysis of legal requirements and law artifacts within the scope of the Insertion Modeling System (IMS). The subject of this research is the laws created by the legislature and the artifacts of legal activity, such as lawsuit decisions, agreements, licenses, and juridical cases. The problem to be considered is the analysis of legal documents for conformance with the law and the analysis of the law’s articles, checking for inconsisten- cies, incompleteness, and other interested properties. In this paper, we consider every element of the technology in detail, and we describe the methods and results of the experiments.
Formal semantics and analysis of tokenomics properties

Today we are witnessing the rapid development of products and services based on blockchain technology. Cryptocurrencies and tokens are becoming an integral part of a person’s daily life. One of the main and, at the same time, the most difficult task for each project is the creation of a self-governing token economy. The violation of properties, such as equilibrium and decentralization, can result in the failure of a project and financial losses. Using the math and formal methods is a simple and efficient way to create self-sustainable token economies right at the stage of MVP development. Despite the rapid development of tokenomics, its popularity, and the rapid pace of implementing blockchain technology in various business areas, only a small number of works have examined formal models of tokenomics. In this study, we present an algebraic approach to analyzing the properties of tokenomics. The algebraic modeling approach is implemented within the framework of the Insertion Modeling System (IMS) that was developed at the Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine under the guidance of an Academician of the National Academy of Sciences of Ukraine, Professor A.A. Letichevsky. The algebraic modeling methods prove the properties of safety and liveness. Insertion modeling is an approach for modeling complex distributed systems, which is based on the theory of interaction between agents and environments. The modeling algorithm is based on the historical data of exchange trading and the liquidity of tokens - which allows us to make accurate predictions and show possible outcomes. The interaction of tokenomics agents and their behavior, represented by the equations of behavioral algebra, is considered. The use of the algebraic approach to tokenomics development for the Internet of Things is considered, and the formal representations and methods of property analysis are presented. The obtained results allow us to discuss the possibility of using formal methods in the study of tokenomics.
Extracting structure from text documents based on machine learning

This study is devoted to a method that facilitates the task of extracting structure from the text documents using an artificial neural network. The method consists of data preparation, building and training the model and results evaluation. Data preparation includes collecting corpora of documents, converting a variety of file formats into plain text, and manual labeling each document structure. Then documents are split into tokens and into paragraphs. The text paragraphs are represented as feature vectors to provide input to the neural network. The model is trained and validated on the selected data subsets. Trained model results evaluation is presented. The final performance is calculated per label using precision, recall, and F1 measures, and overall average. The trained model can be used to extract sections of documents bearing similar structure.
Boyko Ontological system processing of databases of scientific publications

Development of theories, methods and algorithms for the discovery and formation of new knowledge always was one of the most important tasks for any researcher, especially if they actively working on creation of new scientific publications. There is no universal language to describe formally concepts (knowledge) and systemology of transdisciplinary scientific research. Because of this, researchers have a set of urgent problems, and one of them is the way of speeding up the process of finding information (in the form of cognitive-structure) in their own sources. Ontological system for processing of databases of scientific publications created to solve this problem for a researcher, who have from tens to hundreds of scientific papers published. We are unaware of search systems, which would provide the same information for a researcher in such a short time. Ontological system implements technologies of Information Retrieval and Knowledge Discovery in Databases with accent on technologies and instruments such as Semantic Web and cognitive graphics. Development of such ontological system have three stages. On the first stage instruments for system development created, methods and algorithms of interaction between system components "User ¾ Knowledge engineer ¾ Remote endpoint", also data added to the system at this stage. On the second stage task of multimedia presentation for conceptual and figurative structures, described in scientific documents, solved. Gaining new knowledge problem solved on the third stage.
SOSIALISASI PENGGUNAAN TRACER OUTGUIDE REKAM MEDIS RUMAH SAKIT UMUM PERMATA BUNDA CIAMIS

One of the activities carried out at the hospital in the medical record section is the processing system in the medical record storage and control section. Management of medical record storage is very important to do in a health care institution because it can facilitate and speed up the rediscovery of medical records stored in storage shelves. Lost medical records, misplaced, misfiles that are difficult to find in a short time become problems that often occur and affect the quality of service. Based on the results of initial observations made with medical records officers at Permata Bunda Ciamis Hospital, it was found that there were still missfiles in the medical record. This activity aims to create a culture of using tracer outguide as a medical record tracking card out of the file storage rack and increasing the knowledge of storage officers. The method used in this socialization is to provide knowledge to the staff in the storage section directly through demonstrations and assistance in the use of tracers in the medical record storage section ending with an evaluation of activities. The results obtained from this activity increase the knowledge of storage officers using a tracer outguide to minimize the occurrence of medical record loss (misfile).&#x0D; &#x0D; Keywords: Medical Record, Tracer, Misfile
Redesain Map Rekam Medis Di Puskesmas Medan Johor

Map is a thick paper cover used to store medical record sheets, which serves to unite all patient sheets so that they become a unified whole history, protect the medical record files in it so they are not easily damaged, torn and folded. as well as facilitate storage, search and transfer. medical record file. The purpose of this community service is to redesign the medical record folder in terms of anatomy, physicality and content, as well as the boundaries of form between forms of family members (father, mother and child) at the Medan Johor Health Center. The community service methods used are public education, consultation, and the diffusion of science and technology. This service activity was carried out for 4 months. The result of this community service activity is a product in the form of a medical record folder (folder) at the Medan Johor Health Center.
PENGARUH REBUSAN CACING AFRICAN NIGHT CRAWLER TERHADAP PERTUMBUHAN BAKTERI SALMONELLA THYPI

Previous studies have conducted experiments using earthworms. The results showed that earthworms were able to inhibit the growth of Salmonella typhi bacteria. The purpose of this study was to determine the effect of different concentrations of boiled water for African night crawler earthworms on the resulting inhibition zone.&#x0D; The type of research used is experimental research. The population of this study was the African night crawler worm in Narmada District. The sample of this study was the African night crawler worm in Batu Kantar Hamlet, Narmada Village, Narmada District.The conclusion of this study was that there was no effect of different concentrations of boiled water for African night crawler earthworms on the inhibition zone including the medium inhibition zone formed in the first treatment until the fifth treatment was different, this happened because of the difference in thickness and thickness of the pure strain of Salmonella typhosa on the media. Muller Hinton Agar (MHA).&#x0D;
The zoom application in internal communication during remote classes in university students

The purpose of the article is to provide the most relevant aspects in internal communication during remote classes in the rst stage of the development of the COVID-19 pandemic, in the face of this situation the interest of doing a study on behavior in the communicational part arises. Among the teachers and students who received their classes remotely, the stated objective was "DeterminetherelationshipbetweentheuseoftheZoomapplicationandinternal communicationinthestudentsoftheProfessionalSchoolofCommunicationSciences, UNTUMBES"; the methodology of the work is based on the quantitative approach, of the correlational type with a non-experimental cross-sectional design; the instrument used to obtain results was a questionnaire applied to 60 students; simple random probabilistic sampling was used for data analysis. To conrm the hypotheses, the statistical test of the correlational coefcient of “r” Pearson was used. The results obtained indicated that: 63% of the students of the School of Communication Sciences perceive a good relationship between the Zoom application variables and internal communication; 13% have an Excellent conception”. It is concluded that there is a direct relationship between the Zoom application and internal communicationinthestudentsoftheProfessionalSchoolofCommunicationSciences, UNTumbes, 2020, accepting the research hypothesis, the signicance value being 0.000 lower than the level established in the eld of communication. research 0.05
High-precision phase extraction and unwrapping method for MEMS mirror structured light system

Phase extraction and unwrapping is an important part of structured light three-dimensional (3D) measurement. High-precision phase extraction and unwrapping methods are of great significance for realizing high-precision structured light 3D measurement. In this paper, the following researches are made on the phase extraction and unwrapping method in the structured light 3D measurement system based on micro-electromechanical system (MEMS) mirror. This paper adopts the standard N-step phase-shift method to extract phase. Considering the measurement time and measurement accuracy, the four-step phase-shift method is finally selected after the phase error experiment and analysis. The phase unwrapping algorithm selects the multi-frequency step-by-step unwrapping method which is not sensitive to the phase error. For the nonlinear error of the system, phase error compensation based on Hilbert transform is carried out, and the phase error after compensation is reduced by 64.5% compared with that before compensation. Finally, a three-dimensional reconstruction experiment was carried out using the above method and a structured light three-dimensional measurement system based on MEMS mirror. The experimental results show that the measured objects have been effectively 3D reconstructed.