Reviewerly/exHarmony huggingface dataset:
Pendekatan Machine Learning yang Efisien untuk Prediksi Kanker Payudara

Breast Cancer is the most common cancer found in women and the death rate is still in second place among other cancers. The high accuracy of the machine learning approach that has been proposed by related studies is often achieved. However, without efficient pre-processing, the model of Breast Cancer prediction that was proposed is still in question. Therefore, this research objective to improve the accuracy of machine learning methods through pre-processing: Missing Value Replacement, Data Transformation, Smoothing Noisy Data, Feature Selection / Attribute Weighting, Data Validation, and Unbalanced Class Reduction which is more efficient for Breast Cancer prediction. The results of this study propose several approaches: C4.5 - Z-Score - Genetic Algorithm for Breast Cancer Dataset with 77,27% accuracy, 7-Nearest Neighbor - Min-Max Normalization - Particle Swarm Optimization for Wisconsin Breast Cancer Dataset - Original with 97,85% accuracy, Artificial Neural Network - Z-Score - Forward Selection for Wisconsin Breast Cancer Dataset - Diagnostics with 98,24% accuracy, and 11-Nearest Neighbor - Min-Max Normalization - Particle Swarm Optimization for Wisconsin Breast Cancer Dataset - Prognostic with 83,33% accuracy. The performance of these approaches is better than standard/normal machine learning methods and the proposed methods by the best of previous related studies.&#x0D;
Research on the Training Mode of Intelligent Manufacturing Teachers Under the Mode of University Enterprise Cooperation

With the in-depth development of market economy and the "explosive" surge of demand for high-quality compound talents in the era of information and intelligence, strengthening the cooperation between universities and enterprises has become an inevitable choice for colleges and universities, especially private Application-oriented College Students.The mode of university enterprise cooperation is a process in which both universities and enterprises participate in talent training.The integration of industry and education and the cooperation between universities and enterprises are the fundamental direction of the educational reform and dynamic development of the application-oriented universities.Through the research on the training mode of intelligent manufacturing professional teachers under the mechanism of university enterprise production learning combined with collaborative education, innovation has been realized in the training mode of intelligent manufacturing professional teachers, professional leaders have been selected and trained, backbone teachers have been trained, and the "double teacher" type teachers have reached 100%.It has been proved by practice that the exploration of the training mode of intelligent manufacturing teachers under the mechanism of university enterprise production learning combined with collaborative education can promote the teaching, practice, scientific research and social service ability of all teachers in the university, and promote the professional growth of teachers.
Delineating The Impact Of Organizational Dissent On Job Insecurity And Turnover Intention

The vitality of a communication environment has been seen as an important issue in organizational success in recent years. In particular, the creation of an environment in which employees can express freely their contradictory opinions can contribute to the development of the organization by providing early detection of potential problems and disagreements. With this regard, the aim of this study is to comprehensively discuss organizational dissent behavior and examine the relationship between organizational dissent behavior, job insecurity, and turnover intention. The data was obtained from 250 respondents actively working in different sectors and proposed research model has been analyzed through factor and reliability analysis, correlation and regression analysis. Results revealed that articulated dissent has a negative relationship with job insecurity and turnover intention while latent dissent is positively related to job insecurity and turnover intention. Additionally, job insecurity feeling of employees enhances their turnover intention. The study expands existing literature of organizational dissent, analyzing consequences of dissent behavior of employees.
Simpler semantics for computational and cognitive linguistics

Certain consequences are considered regarding a simpler, more cognitively plausible treatment of semantics in SignBased Construction Grammar, a cognitive, unification- based theory of language. It is proposed that a construction grammar may be able to improve its coverage of core linguistic phenomena in line with minimalist goals (Chomsky 1993). Suggestions are offered regarding relative clauses and wh-expressions to show that a more straightforward account is available, one that allows a unified treatment of scope for quantifiers and wh-expressions.
AUTOMATIC QUERY REWEIGHTING USING CO-OCCURRENCE GRAPHS

Providing a relevant response to the user has always been challenging.Query reformulation methods have been widely applied in an attempt to provide a better representation of the user's query and thus improve retrieval performance.In this paper, we present a new query reweighting method for document retrieval based on term co-occurrence graphs, which are built using a context window-based approach over the entire corpus.We propose an adapted version of the well-established Okapi BM25 model that allows identifying the most informative terms in the query and assigning them optimal weights.This measure stands out by its ability to evaluate the discriminative power of terms from co-occurrence graphs.Experimental results on two standard ad-hoc TREC collections show that our method improves both retrieval effectiveness and robustness and outperforms the state-of-the-art baselines with significant margins.
The Relevance of Information Security Policy in the Logical Part of the Company

The objective of this research is to analyze the relevance of the information security policy in the logical part of the company. It will be used data obtained from research conducted within various companies, which demonstrate the level of knowledge of employees and some wrong measures they taken which ended up harming the company. It will be possible to check not only the weight that an information policy has within any economic sector, but also to point out which areas of the company are most prone to data loss/theft. One of the most valuable assets in any business, is information, that is, data that is generated through trades made, revenue generated, productivity, etc., and however small the information seems, to the market it can be extremely relevant and the leakage of this information, due to a failure or lack of security, can lead to the bankruptcy of a company.
Fun English pictures to improve students’ simple communication ability

The objective of the research is to improve the third grade students’ simple communication ability of SD Muhammadiyah Macanan in the academic year of 2017/2018 with the use of Fun English Pictures media. It was expected that Fun English Pictures could improve the students’ simple communication ability. Based on the observation, there were some problems in the teaching and learning of simple communication. To solve those problems, the researcher implemented Fun English Pictures as a learning media. The research was carried out through action research that consisted of two cycles. The researcher collaborated with the English teacher in implementing the actions and an observer. The data were in the forms of qualitative. The qualitative data were in the forms of field notes, observation sheet, interview transcripts, and photographs. The validity used were democratic validity, outcome validity, process validity, catalytic validity and dialogic validity. The reliability used was time triangulation and investigator triangulation. The steps of the research were reconnaissance, planning, action and observation and reflection. The research found that: (1) Fun English Pictures can improve students’ simple communication ability and can help them to speak confidently, (2) the use of Fun English Pictures can give the students more chances for practicing simple communication, and therefore the students can lose their fears of making mistakes and be more confident, (3) the use of Fun English Pictures can improve the students’ fluency, pronunciation, vocabulary and accuracy.
Semantic Document Classification based on Strategies of Semantic Similarity Computation and Correlation Analysis

Document (text) classification is a common method in e-business, facilitating users in the tasks such as document collection, analysis, categorization and storage.Semantic analysis can help to improve the performance of document classification.Though having been considered when designing previous methods for automatic document classification, more focus should be given to semantics with the increase number of content-rich electronic documents, forum posts or blogs online, which can reduce human workload by a great margin.This paper proposes a novel semantic document classification approach aiming to resolve two types of semantic problems: (1) polysemy problem, by using a novel semantic similarity computing strategy (SSC) and ( 2) synonym problem, by proposing a novel strong correlation analysis method (SCM).Experiments show that our strategies can help to improve the performance of the baseline methods.
Direct and inverse factorization algorithms of numbers

The factoring natural numbers into factors is a complex computational task. The complexity of solving this problem lies at the heart of RSA security, one of the most famous cryptographic methods. The classical trial division algorithm divides a given number N into all divisors, starting from 2 and to integer part of √N. Therefore, this algorithm can be called the direct trial division algorithm. We present the inverse trial division algorithm, which divides a given number N into all divisors,starting from the integer part of √N to 2.&#x0D;
Crowding and Territoriality within Urban Safety (Case Study: Ketabang, Surabaya, Indonesia)

The city of Surabaya is one of the largest metropolitan cities in Indonesia with positive city growth and development. Along with this, the wave of urbanization and the increase in safety threats also increased. The increased threats triggered the procurement of facilities related to high safety. However, Ketabang, as one of the regions that have the availability of complete safety facilities, still has a great record of safety threats, especially in public space. Thus, an evaluation of the effectiveness of the facility needs to be carried out, especially on the topic of controlling the crowd and clear territorial boundaries. The control itself is related to the limitation of public activities, which can be one of the factors that cause reduced awareness and surveillance of the perpetrators of safety threats. Because of it, this region needs further research on each level of territorial crowds and territorial boundaries that can affect safety in public spaces. This study uses qualitative data analysis, character appraisal of related facilities, and cognitive mapping as a research method. The results of the analysis process outline the influence of crowds and territorial boundary on the safety of users of public spaces in the study area. These results are the main handle in providing an evaluation of the design and provision of facilities that can improve the safety of public space users.
An Improved Algorithm for Recruitment Text Categorization

With the rapid development of the Internet, online recruitment has gradually become a mainstream. In the process of obtaining the text of recruitment information, a large volume of texts are not part of recruitment information. Currently, common text categorization algorithms include k-Nearest Neighbor, Support Vector Machine (SVM) and Naive Bayes. In addition, there are numerous related technical terms in the recruitment information, which affects the accuracy of the ordinary Bayesian text categorization algorithm. However, there is not uniform format for the text information of recruitment. This paper improves the original Naive Bayes algorithm and proposes a Reinforcement Naive Bayes (R-NB) algorithm to enhance the accuracy of recruitment information categorization. Experiments have demonstrated that the improved algorithm has a higher categorization accuracy and practicability than the original algorithm.
Modern Multiplication as a Shaping Factor of Emotional Disturbances in Pre-School Children

This article examines the topical issue of emotional disturbances in pre­school children and the role of multiplication in such disturbances. Its aim is to ana-lyze the role of modern multiplication theoretically and experimentally in the shaping of emotional disturbances in pre­school children.The article provides theoretical analysis of pre­schoolers’ emotional sphere developmental features and emotional disturbances emergence in a given age group. The main types of pre­school emotional disturbances and the reasons for their emergence are analyzed. Modern multiplication is ac-knowledged to be one of major factors for emotional disturbances shaping in pre­school children. The empirical research on the in0xFB02uence of modern multiplication on emo-tional disturbances shaping in pre­school children was conducted. Empirical methods of psychological research, such as questionnaire and psychodiagnos-tic methodologies, were employed.Children’s multiplication preferences and their perception of animated 0xFB01lms and their main characters are empirically identi0xFB01ed. Psychological analy-sis of the chosen animated 0xFB01lms and their main characters is represented to identify their in0xFB02uence on pre­schoolers’ mentality. The majority of the most popular animated cartoons under analysis are found to have a negative e0exFB00ct on pre­school children’s mentality. The following emotional disturbances in pre­schoolers are empirically identi0xFB01ed: fears, aggression and anxiety. Certain connection between the emotional disturbances in pre­schoolers and the type of multiplication they prefer is diagnosed. As a result, the hypothesis that most of modern multiplication in0xFB02uence pre­school children’s emotional sphere and trigger emotional disturbances was con0xFB01rmed.
Peningkatan Keterampilan Membaca Teks Bahasa Inggris melalui Autonomous Learning

To describe how autonomous learning increases students’ English text reading skills. The research was conducted at Faculty of Health, MH. Thamrin University, East Jakarta. The result of the research is as follows: (1) autonomous learning implementation at Faculty of Health, MH. Thamrin University is generally good. The achievement of all indicators of autonomous learning is very high. (2) Students’ English text reading skills at Faculty of Health, MH. Thamrin University is generally very good. The achievement of all indicators of reading skills strategies is very high. (3) Autonomous learning has been successfully implemented at Faculty of Health,MH. Thamrin University to increase the students’ English text reading skills. Based on the research result, the students’ English text reading skills could be enhanced by deeply implementing the indicators of autonomous learning through 1). Developing self-awareness, 2). Developing effective learning strategies, 3). Developing thinking skills, 4). Developing organizational skills, 5). Developing cooperative skills, 6). Developing metacognitive skills, 7). Developing problem solving dan supporting others. It proves that autonomous learning can increase students’ English text reading skills.
Aplikasi Nilai Online, Pembayaran SPP dan Absensi Berbasis Website Di SMP Islam Al-Ikhlas Jakarta Selatan

Lack of publications to deliver online value information makes Al-Ikhlas Islamic Junior High School has a weakness in disseminating information to parents in Al-Ikhlas Islamic Junior High School South of Jakarta in the publicized value for children - her son, because the conventional media used by teachers Al-Ikhlas Islamic Junior High School South of Jakarta only form of notes on ledger Master Data Master.&#x0D; Data collection methods used were observation and interviews, with observation and interviews are expected to obtain sufficient data for the manufacturing of value-line application will be made for Al-Ikhlas Islamic Junior High School south of Jakarta. The approach used is object-oriented approach (Object Oriented).&#x0D; By designing a web-based online application value in SMP Islam Al-Ikhlas South Jakarta, is expected to improve efficiency and streamline the process of accessing information and maximize the delivery of academic information which will be aimed at students, teachers and parents. With value-based online application he designed the website in Al-Ikhlas Islamic Junior High School South of Jakarta, is expected to also school - other schools will make this application in every school.
The Internet of Education Things (IoET): A Social Sciences Approach for Students Academic Purposes

This article aims to discuss the contribution of the usage of the internet in the learning process for academic purposes in the Social Sciences at the Department of Anthropology, Universitas Negeri Medan.Data obtained through a questionnaire on 6 topics and 17 items of internet usage in semesters 6, 7 and 8 namely 119 students.Data were analyzed with descriptive statistics and product-moment correlations.Theoretical references used are the Internet of Education Things, an explanation of the Internet of Things from an educational perspective.The study concludes that there is a significant relationship between IoET and student academic purposes.Every student utilizes Wireless Fidelity to access references, teaching materials, student assignments, and thesis writing.Email and internet searches are the most common internet uses.The internet creates a more personal learning experience but the tendency is used for the benefit of other internet activities rather than academic purposes.
In enhancing inference by the STATIS methodology

The studies in a series may further be considered to have a common structure whenever their corresponding points lie along the first axis. Common structure matched series are modeled in the framework of the STATIS method. For that purpose, the information of each series is summarized in a structure vector and in a sum of square of residues vector. Former models may provide inference capabilities to this overall methodology.
A Facial Recognition-based Video Encryption Approach to Prevent Fakedeep Videos

Deepfake is a kind of technique which forges video with a certain purpose.It is in urgent demand that one approach can defect if a video is deepfaked or not.It also can reduce a video to be exposed to slanderous deepfakes and content theft.This paper proposes a useful tool which can encrypt and verify a video through proper corresponding algorithms and defect it accurately.Experiment in the paper shows that the tool has realized our goal and we can put it into practice.
Applications of Ant Colony Optimization in Control Systems, Robotics and Vision

Swarm Intelligence is driving research in multi-agent system based robotic and mobile control applications.A swarm optimization algorithm-Ant Colony Optimization (ACO) provides a stochastic 'shortest path' approach inspired by ant colonies to obtain global solution in an optimization problem.This paper reviews the impact of ACO in robotics, computer vision, control systems and sensor networks for autonomous systems.The performance of ACO as a metaheuristic or general optimization is discussed with respect to its consequences on parameters like energy efficiency, time for convergence, route selection, etc.
ПОРІВНЯННЯ ОПЕРАЦІЙНИХ СИСТЕМ IOS ТА ANDROID. ПЕРЕВАГИ ТА НЕДОЛІКИ РОЗРОБКИ МОБІЛЬНИХ ДОДАТКІВ ДЛЯ КОЖНОЇ З СИСТЕМ

The capabilities of mobile applications have long gone beyond the entertainment industry. They are increasingly used in large and small business spheres. Also should emphasize that each company wants to have its own mobile applications. This is what attracts the attention of new customers and makes the provision of services more comfortable and effective for users. That is why the market needs more specialists in the field of mobile development. Therefore, every mobile developer has an issue to choose what operating system to work with. Therefore, there are two main spheres of development: iOS, Android. Each of them has its advantages and disadvantages
Penerapan Literasi Di Desa Wisata Cikolelet Melalui Perpustakaan Keliling Dan Taman Bacaan Masyarakat

ABSTRACT&#x0D; Literacy is the one of reading and writing skills capabilty. The Information of literacy as the competion have to give the information to society. The one Literacy implementation at the cikolelet vilages tourism have the purpose for critical thinking capabilty. The devlopment of Information and communication is veryhight, but did not always took society solution. The problem condition is the internet information linked gate and its make the user confuse. The libracy target is to give the socialization about education information and the library proggrame applied to the society are mobile library and library field. The other side, the litaracy implementation in Cikolelet vilage through mobile library and library field for society become the solution to looking for the information and become the inovation to icreasing the literacy society.
The Mediating Effect Of Psychological Ownership On Person-Organization Fit and Turnover Intention

This research clarifies the mediating effect of psychological ownership on person-organization fit and turnover intention. The private sector companies have significant problems in ensuring their employees to stay in the company and therefore it is urgent to clear the related psychological constructs that influence turnover intention among private sector employees. Lack of person-organization fit may lead to employee turnover. Moreover, little is known about the mediating effects of the psychological ownership on person-organization fit and turnover intention. A cross-sectional survey and a correlation analysis were used to clarify the relationships among constructs. Following the cross-sectional survey and correlation analysis, a multi-linear regression technique was dwelled in order to find out the mediation model. The findings of this research indicate that psychological ownership is a mediator on the relationship between person-organization fit. The research findings also determine that turnover intention and person-organization fit has a negative significant effect on turnover intention.