Reviewerly/exHarmony huggingface dataset:
The Influence of Online Media on Student Interest in Learning

This research aimed to know how big the influence of online media on student interest in learning at wijaya kusuma islamic vocational high school. The research method used is quantitative method, field research method and library method . Population in this research is the students at Wijaya Kusuma Islamic Vocational School with a total of around 500 students with a sample of 50 respondents. This research using a quesionere instruments To test data analysis using method of Product Moment Correlation, Coefficient of Determination and Hypothesis test. Conclusion gwhich have been obtained after research that regression analysis Y = 47,66 + 0,55x and correlation analysis equal to r =0,573 which means a moderate influence between online media with student interest in learning. While result of Coefficient Determination analysis show equal to 32,8% the variable x (online media) contributes to the variable y (student intereset in learning) and the remaining as much 67,2% is determined by others variable. The last result hypothesist test showing a strong effect between variable x (online media) to variable y (student intereset in learning) ) at 5% significant level (α = 0,05 t count is bigger than t table.(5,90625&gt;1,67722))
A comment on information leakage from robust code-based checkers detecting fault attacks on cryptographic primitives

Cryptographic hardware primitives must be protected against fault-injection attacks. Security-oriented error-detecting codes provide (probabilistic) guarantees for detection of maliciously injected faults even under assumption of a sophisticated attacker with access to powerful equipment. In this paper, we revisit the earlier finding that error-detection infrastructure may increase the undesired information leakage. We formalize the information leakage from the checker response by means of mutual information. We apply our analysis to the best security-oriented robust codes known today. We prove that the probability of an undetected attack is exponentially smaller than the entropy loss due to information leak from the checker. This means that an attack will be detected far before the attacker will gain significant information. Given a bound for acceptable information leakage (e.g., 0.5 bits of a 128-bit secret key), our analysis allows the designer to easily choose the number of redundant bits required to stay below that bound. The obtained results extend our knowledge about the relationship between detection capabilities of codes and information leakage due to them.
An Improved Image Style Transfer Algorithm Based on Deep Learning Network

Aiming at the problem of local style migration distortion in image stylization, an improved image style migration algorithm based on deep learning network is proposed. Firstly, the VGGNet-19 network is used to extract the convolution layer features of images. Then the characteristics of convolution layer are analyzed, and the combination of style and content features is studied. The Block3 layer with the smallest content loss and style loss is selected for feature fusion with conv1_1, conv2_1, conv3_1, conv4_1 and conv5_1 layers. Finally, under the optimal combination of features, Adam algorithm is used to optimize the image style migration. The experimental results show that the proposed algorithm can effectively improve the distortion of local style migration and provide theoretical support for the implementation of style migration technology.
Early Childhood Development Detection based on Expert System and Developmental Pre-Screening Questionnaire

Psychology Bureau of Universitas Setia Budi (BP-USB) has a role in the life of the Surakarta city community as an officer carrying out child development checks using the KPSP form. Based on the results of interviews, BP-USB has obstacles in the process of examining the early childhood development, that the ineffectiveness of the inspection in terms of aspects: cost, energy and time. This study aims to build an early childhood development inspection based on android system using an expert system with the Forward Chaining Method based on KPSP to increase the effectiveness of examination time. The final results showed that the early childhood development expert system was able to shorten the examination time significantly. The effectiveness of examination time increased by 65%.&#x0D; Keywords: developmental pre-screening questionnaire, KPSP, expert system, forward chaining
Implementasi Algoritma Decision Tree_J48 untuk Memprediksi Resiko Kredit pada Koperasi Simpan Pinjam (Studi Kasus : Kofipindo Lubuk Pakam)

The development of the modern era has made many people more influenced in managing business, especially in financial institutions, one of which is credit at the Kofipindo cooperative. Credit is the most important thing in a savings and loan cooperative and it has an effect on the health of the cooperative. However, if there is a management problem that carelessly provides credit, it will be risky for the company, namely there will be a loss of customers and not collectible. To overcome the problems above, a method is needed. The technique that can be utilized in the process of processing data is the classification with the J48 algorithm. J48 algorithm is a classification algorithm applied to decision tree techniques that are processed using information gain. In selecting attributes for object breakers in several classes, the attribute that produces the greatest information gain with the highest information gain value will be chosen as the parent of the next node.Keywords: Credit risk prediction, Algorithm J48
High Dynamic Range Imaging Algorithm Based on JND and Detail Enhancement

High dynamic range imaging is an emerging technology for generating high quality images. The most common method is to acquire high dynamic range images in a multi-exposure fusion manner. The biggest disadvantage of such algorithms is the "artifact" phenomenon caused by the target motion, or the time cost of avoiding "artifacts" for registration. Therefore, Therefore, a high dynamic range imaging algorithm based on the just noticeable difference (JND) and detail enhancement is proposed, which belongs to the generation of high dynamic images from a single image. According to the JND edge of the improved human visual characteristics and local variance matrix, combined with the fuzzy system to obtain the weight matrix describing the quality of different exposure images, so that different exposure images are fused into HDR images. The experimental results show that the algorithm can effectively improve the contrast and clarity of the image, and the generated image is more in line with the subjective visual effect of the human eye.
Two-Level Systems with Broken Inversion Symmetry

This research analyzes the impact of the asymmetry of the quantum system and the range of control possibilities offered by dispersive media and the nanostructures. I investigated the asymmetric behavior of a two level system in the Jaynes-Cummings model (JC) and in the spontaneous emission process discussing respectively the presence of a non trivial emission at the Rabi frequency and the correction at a much more basic level, i.e., in the lifetime of the excited state, and also affect the value of the Lamb shift with broken symmetry in the diagonal terms of dipole moment.
Multicriteria Anomaly Detection in Government Purchases

Government purchases are the usual instrument for public acquisition of goods and services. Despite extensive legislation and several control and auditing mechanisms, frauds are still diverse and commonplace at all levels of public administration. This work proposes a methodology for detecting anomalies in government purchases. The methodology promotes several levels of filtering with respect to entities involved and purchases considered as fraudulent considering diverse criteria. The applicability and effectiveness of the methodology is demonstrated through a case study using real data where we were able to identify a long term provider collusion.
A Need Analysis of English For Specific Purposes (ESP) For Nursing Students At SMKS Kesehatan Kendari

English for Specific Purposes (ESP) has been discussed for a long time around the world in the field of English Language Teaching (ELT). Teaching English based on students’ needs is important, particularly for those learners who learn English beyond the academic purposes such as vocational high school students. The objective of this study is to analyse nursing students’ needs for ESP materials at SMKS Kesehatan Kendari based on Target Situation Analysis. Therefore, this study is conducted to identify the Target Situation Analysis (TSA) of one of vocational high school in Kendari. This study employed research and development design with 22 samples. The data obtained from questionnaire were analysed statistically by using SPSS version 16.0. The result shows that students need in learning English process for the tasks of speaking skill; how to ask question English well, how to answer question English well, do communication with schoolmates, do communication with teachers, and do communication with patients. Listening skill; listening and understanding when do face to face conversations, listening and understanding through conversation on the phone, listening and understanding the content of forum discussions, and listening and understanding the content of announcements. Reading skill; how to read health magazine, how to read announcement, and how to read patient list, and Writing skill; how to fill the patients form and how to write medical report. Based on the findings, it concludes that speaking and listening skills are the most needed by nursing students in order to communicate in English.Keywords: English for Specific Purposes (ESP), Need Analysis, Target Situation Analysis (TSA), Nursing Students
CRITERIA, INDICATORS AND LEVELS OF FORMATION OF STUDENTS’ READINESS TO USE INTERACTIVE PEDAGOGICAL TEACHING TECHNOLOGIES IN PRESCHOOL ESTABLISHMENTS

The article substantiates the theoretical basis for the readiness of future teachers of preschool establishments to apply interactive pedagogical technologies in their professional activities. Today we are witnessing the creation of another educational system in Ukraine. Creation of innovative pedagogy, introduction of interactive forms of work and innovative technologies, which promote activization of educational activity of a modern preschooler. This requires preschool educators to reorient themselves quickly in their professional activities, use the latest educational, interactive and innovative pedagogical technologies that motivate educators to be creative and be innovators in preschool education.The future teacher of preschool education should not only possess the theoretical foundations of his professional activity, but also perform his functions qualitatively, to show non-standard, creative thinking, flexible imagination, the ability to perceive, develop and implement innovative and interactive technologies during educational activities with preschoolers, own cooperative skills in work in a team of like-minded people and colleagues, use a variety of technical equipment, use the latest technological tools for organizing his professional activity. We believe that in order to solve such problems there is an important professional training of a student of preschool education, who is capable to introduce innovative and interactive technologies in preschool education, promote the use of interactive forms and means of educational activity of preschoolers, activate educational activities of children, conduct own research in the field of development of preschool education, have pedagogical skills, manage professional pedagogical activity, possess the tools of modern diagnostics of the process and analyze the result a creative and personal creative work, ways to study forms, ways and means of correction and further usage, selfeducation, self-improvement, as the quality of training future teachers of preschool education depends on the teacher of higher educational institutions.Therefore, we have developed criteria, indicators, and levels of readiness formation for the use of interactive pedagogical teaching technologies in preschool educational institutions by future educators. It was determined that the use of interactive pedagogical technologies in the educational process is one of the components of the general system of formation of students’ readiness for professional activity. It is noted that criteria, levels and their indicators allow to check the formation of preparedness for the use of interactive pedagogical technologies by future teachers, respectively, give an opportunity to determine the level of formation of the specified readiness.
PEMANFAATAN ALAT SERPIH DI CERUK LAYAH KECAMATAN SAMPUNG, KABUPATEN PONOROGO, JAWA TIMUR (BERDASARKAN KAJIAN MIKROSKOPIS JEJAK PAKAI DENGAN PERBESARAN RENDAH)

Ceruk Layah is a site that located in Sampung Karst Region, Ponorogo, East Java. Based on the result of excavation conducted by Balai Arkeologi Yogyakarta in the ear of 2000-2002, the finds were dominated by stone artefacts and pottery fragments. Techno-economy study and stone artefacts classification had been done macroscopically. Further analysis is needed to ascertain whether stone tools in Ceruk Layah had been utilized by its occupants. There are three questions, concerning the variation of microware of the flake tools, the utilization of the flake tools, and the resistance of the worked materials on flake tools. This study applies macroscopic and microscopic analysis. Macroscopic analysis aims to determine the dimension, material, distribution, and location of microware of the flake tools. While microscopic analysis aims to identify the microware of flake tools by using low magnification (50 X), and to measure the depth and length of the fracture of the flake tools. The objective of the measurements of the fracture is to distinguish the fracture caused by flaking and utilization of the flake tools. The results of analysis shows that the sixteen pieces of flake tools in the Ceruk Layah carries three microwares which were dominated by fracture, while striation and polish were rarely found. In addition, each flake tool carries fracture that varies on the length and depth. The flake tools of Ceruk Layah might have been used for cutting, whittling, sawing, scraping, and boring. The resistance of the worked material consists of soft resistance, moderate resistance, and hard resistance.
Conditions for the formation of reflection methods for solving problems in second graders

The article reveals the content of the study, which examines the possibility of forming in second-graders metacognitive skills related to the reflection methods of solving problems.It was shown that the regular solution of different types of search tasks by children (at 30 lessons during the school year according to the author's program "Understanding 1") contributes significantly to the development of their studied skills: the results of solving the diagnostic problems by children of the experimental group differ significantly from the results of the children of the control group.
Finding Government Resources Online: A Webometric Study of Selective Federal Depository Library Websites

Over eleven hundred libraries across the United States and its territories participate in the Federal Depository Library Program (FDLP) by providing public access to free government resources. In the last decade, there has been a significant shift as many government publications are being published only electronically. At the same time, several older physical collections are being digitized and made available online. This shift has caused many FDLP libraries to weed their older physical government document collections and increase their electronic holdings.
INNOVATIVE TECHNOLOGIES FOR FORMING THE LINGUISTIC COMPETENCE OF FUTURE TEACHERS

The article deals with the definition of the concept of “innovation”, “innovative pedagogical technologies”, “speech competence”, in particular, the question of the requirements of society to the person of the XXI century and the need for the formation of communicative competence. Some innovative technologies (interactive lectures, case-technologies, situational analysis, method of projects) are considered to allow forming communicative competence of future teachers – the ability to produce their own programs of speech behavior, adequate communication situations. The main group of innovative technologies in the training of future teachers is analyzed.In the context of the problem under study, innovative pedagogical technology is considered by us as an ordered set of actions, operations and procedures that ensure the achievement of predicted and diagnosed result in the constantly changing conditions of the educational process. In our opinion, the very implementation of pedagogical technology makes professional training organized, managed, with predictable positive results. Firstly, with the help of pedagogical technology teachers have the opportunity to project their activities on the basis of preliminary design of the learning process and subsequent reproduction (according to the concept of technology ) in the language of the notion of “didactic task” and “technology of learning”. Secondly, in contrast to the methodological developments that were previously used and intended exclusively for the teacher, pedagogical technology involves a project of educational process that determines the structure and content of the student’s activity. Thirdly, an important component of pedagogical technology is the process of goal determination.We perceive the content of language competence in the practical mastery of the Ukrainian language, its vocabulary and grammatical structure, knowledge of the norms and rules of modern Ukrainian literary language and their observance in oral and written statements, and their skillful use in the speech process.
SHiPCC—A Sea-going High-Performance Compute Cluster for Image Analysis

Marine image analysis faces a multitude of challenges: data set size easily reaches Terabyte-scale; the underwater visual signal often is impaired to the point where information content becomes negligible; interpreters are scarce and can only focus on subsets of the available data due to the annotation effort involved. Solutions to speed-up the analysis process have been presented in the form of semi-automation with artificial intelligence methods like machine learning. But the algorithms employed to automate the analysis commonly rely on large-scale compute infrastructure. So far, such an infrastructure has only been available on-shore. Here, a mobile compute cluster is presented to bring big image data analysis capabilities out to sea. The Sea-going High-Performance Compute Cluster (SHiPCC) units are mobile, robustly designed to operate with impure ship-based power supplies and based on off-the-shelf computer hardware. Each unit comprises of up to eight compute nodes with graphics processing units for efficient image analysis and an internal storage to manage the big image data sets. The first SHiPCC unit has been successfully deployed at sea. It allowed to extract semantic and quantitative information from a Terabyte-sized image data set within 1.5 hours (a relative speedup of 97\% compared to a single four-core CPU computer). Enabling such compute capability out at sea allows to include image-derived information into the cruise research plan, for example by determining promising sampling locations. The SHiPCC units are envisioned to generally improve the relevance and importance of optical imagery for marine science.
Telenursing Using SKEDit To Educate Parents with Thalassemia Children

&lt;p&gt;Background: Excess iron levels and low hemoglobin (Hb) levels are one of the complications of Beta-Thalassemia. The implementation of education using &lt;em&gt;WhatsApp&lt;/em&gt; is expected to increase parental knowledge of the illness and children to adhere to iron chelation therapy.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;Objective: To identify the effect of the implementation of education using &lt;em&gt;WhatsApp&lt;/em&gt; through the SKEDit application compared to using booklets on parental knowledge and medication adherence in pediatric patients with thalassemia.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;Method: The study was quasi-experimental using pre and post-test with control group. The total sample was 61 respondents with purposive sampling technique. Parental knowledge was measured using a Parental knowledge about Thalassemia questionnaire and the level of adherence was measured using an indirect method known as 'Pill Count'. The data were then analyzed using the Mann whitney and wilcoxon test.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;Results: There was a significant difference in the level of knowledge in the pretest and posttest on the intervention group (p: 0.001) and the pretest and posttest in the control group (p: 0.001). There was a significant difference in the level of adherence of the pretest and posttest in the intervention group (p: 0.028). There was no significant difference in the level of adherence of the pretest and posttest in the control group (p: 0.214). There was no difference in the level of knowledge between the two groups (p: 0.994). There was no difference in the level of adherence between the two groups (p: 0.987).&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;Conclusion: Providing education using WhatsApp through the SKEDit application and also booklets both effectively increase the level of parental knowledge and medication adherence of pediatric patients with thalassemia.&lt;/p&gt;
Deep Super-Resolution Hashing Network for Low-Resolution Image Retrieval

In image retrieval, deep learning based hashing approaches have achieved promising performance in recent years. However, they are usually trained on a specific resolution, so it will cause unpleasant retrieval results with low-resolution input. In this paper, we propose a novel end-to-end deep super-resolution hashing network (DSRHN) for low-resolution image retrieval. It aims to adopt super-resolution techniques to promote semantic information of low-resolution images, so that benefits hashing code generation in a more representative fashion. The proposed network consists of two major components, which are trained alternatively, named super-resolution network and hashing network. The super-resolution network is not only optimized by MSE loss for pixel-wise image reconstruction, but also optimized by perceptual loss extracted by the hashing network for semantic learning. As for the hashing network, we adopt hashing semantic loss to optimize it for accurate hash code generation, and utilize a discriminative loss to improve the discriminative ability for the super-resolved images and high-resolution images. Extensive experiments show that our method achieve state-of-the-art performance on low-resolution images retrieval.
Fitness-Based Controlled Movements in Artificial Bee Colony Algorithm

Sharma, Harish Sharma, Kritika Sharma, Nirmala Assad, Assif Bansal, Jagdish ChandArtificial Bee Colony (ABC) is an efficient metaheuristic algorithm is used for solving various complex optimization problems. A new variant of ABC, namely, fitness-based controlled movements in ABC (ConABC) is presented here. In ConABC, an Intelligent Term (IT) is introduced in the employed bee stage, which enhances the solution search ability of the ABC algorithm. The IT is actually controlling the step size of an individual according to its fitness. The presented algorithm is extensively inferred to 12 benchmark functions. It is then compared with ABC, its two recent variants, titled Best-So-Far ABC (BSFABC), Modified ABC (MABC) and some more state-of-the-art algorithms. The observational outcomes unfold that ConABC has potential to solve the problems in a better way than ABC algorithm.
Organization of psychological and pedagogical support of an individual the educational route of a student in inclusive education

Тенденции развития науки и образования -5 -РАЗДЕЛ I. ПЕДАГОГИКА Лоренц В.В