Reviewerly/exHarmony huggingface dataset:
ارزیابی الگوریتمهای دادهکاوی بر روی دادههای آموزشی با استفاده از روشهای تصمیمگیری چندمعیاره

Survey academic performance by educational data mining is one of the most important issues in the field of educational management and researchers focus on it. The purpose of this study is to present an experimental method for appropriate algorithm selection in predicting students' academic status in two and three classes. Two-class database predicts the admission or rejection of students in the course, while the database of the three classes, in addition to admission or rejection, identifies students who are prone and elite. Using the previous articles in the field of educational data mining and experts' opinions, factors that effect on academic performance of students were identified and database was compiled based on them. After optimization of parameters and implementation of different algorithms, the performance scores of the algorithms were calculated using paired t-test based on three indexes include of accuracy, f-measure, and ROC, algorithms were compared by TOPSIS and VIKOR methods. In the two-class mode, Support Vector Machine algorithm in TOPSIS with value of 0.999115 and VIKOR with value of zero has shown the best performance. In the multi-class mode, the Logistic Regression algorithm in TOPSIS and VIKOR in turns with values 0.9986044 and 0.0009798 performances better than other algorithms. The proposed method can be used as a tool for selecting algorithm that has the best pergormance in educational data mining. Because choosing the algorithm to achieve accurate and exact results is very effective and can be taken into account in the process of counseling and preventing students' academic failure
Online physiotherapy service: a literature review / Teleatendimento fisioterapêutico: uma revisão de literatura

INTRODUCTION: With the emergence of the pandemic caused by COVID-19 (SARS-CoV-2), new public health security measures have been adopted, including the social distance. In this way, it became feasible that health professionals, including physiotherapists, act remotely, ensuring attention to their patients avoiding compromising the effectiveness of their work. OBJECTIVES: To verify the methods and strategies used for the online physiotherapy session and to analyze the main injuries treated and the benefits obtained through the treatments. METHOD: This is a literature review based on studies from nine electronic databases (Pubmed, Scielo, LILACS, Cochrane Library, SportDiscus, PEDro and Science Direct), in addition to the manual search. After a pre-selection of title and abstract, the studies were selected by exclusion (unviable methods for physiotherapy, treatments that are more specific and unreproducible rehabilitation strategies) and inclusion criteria (the study should expose a model of the online physiotherapy service and show current content). RESULTS: 5,964 studies were analyzed and after screening, 18 were selected to be included in this review. The online physiotherapy service was used mainly for the treatments of orthopedic and rheumatic disorders and were performed through online physiotherapy service systems as videoconference, phone calls, explanatory handouts, texting and apps combined with videoconference. The intervention period varied between 4 and 8 treatment weeks. CONCLUSION: The studies show effectiveness, reliability and validity of the online physiotherapy service on orthopedic and rheumatic disorders. Furthermore, this system provides benefits as a reduction of cost and waiting time and ease of access.
Pedagogical Innovation in the Conditions of Informatization and Computerization of Humanities Education

The analysis of the processes associated with the fact that the course of transferring the Ukrainian economy from a raw material development path to an innovative one is extremely important. The authors believe that the role of higher education in this process is key. But it itself is faced with a huge number of problems, one of which is improving the quality of its functioning and guaranteeing the results of its activities. This problem is closely related to the implementation of innovations. The authors suggest that innovation in education should be understood as an innovation designed to resolve the current problem situation in order to optimize the educational process, improve its quality or organize favorable conditions for the assimilation of material by students. Based on a critical approach to reform the current system of higher education the paper touches upon the need to change the process infornatization of humanities education. The authors show that for the realization of a humanitarian approach to the modern educational situation, you must be friendly. The conceptually changing field of modern educational practices, aspirations and attempts to humanize and humanize education, taking into account the realities of the information society are favorable factors in creating and implementing the concept of humanities education, which allows different ways of implementation. The development of humanities education in the information society is aimed at implementing an interdisciplinary approach, i.e. should ensure the effectiveness of the development and application of humanities knowledge and form a conscious responsible choice in a variety of cultural meanings, cultural self-determination.
Online College Navigation System Through Barcode

The campus of any college may be very large or it may have many departments/sections. Every time lots of new people visit college campus and they are not aware about the internal structure or design of such college campus. Many new buildings are built and some departments may be relocated inside the college, there are no facilities to find such places like administrative buildings , departments buildings, library, canteen, sports ground and seminar hall etc. In case of college or university campus finding those spaces from current location created difficult to the new comer to reach easily and timely in the desired location, the new visitors also face same problem inside college, moreover there does not exist an efficient system to inform above any event which will happen just few minutes or few hours later in the college with its proper location and shortest path from current location. Now a days , most of the or almost all people use android phone for personal purpose, a global positioning system(GPS) based map application will be most helpful to find desired place and shortest route from recent place and to get informs of events or map with its place thus, it will reduce obstruction and confusion of everyone inside the college. Later the GPS offers extreme coverage and it has been broadly used to deliver the information about college. But the concert of GPS is too poor inside buildings to offer the inside position and for this we similarly use the QR-maps which is used in smartphones to obtain exact locations of different places in college campus. This paper offerings the plan of a QR-map created application and website on android platform and webpage stand and the application has been implemented using android SDK
MENILAI KUANTITAS FESES YANG DIHASILKAN OLEH TIGA CETAKAN KHUSUS PEWARNAAN TEBAL KATO-KATZ YANG DIGUNAKAN PADA BERBAGAI PENGATURAN

The Kato-Katz technique is recommended for the diagnosis of helminth infections in epidemiological surveys, drug efficacy studies, and monitoring of control interventions. Leuenberger etc. were conducting a research to assess the comparability of the average amount of faeces generated by three Kato-Katz templates included in test kits from two different providers. Nine hundred Kato-Katz thick smear preparations were done; 300 per kit. Empty slides, slides plus Kato-Katz template filled with stool and slides plus stool after careful removal of the template were weighed to the nearest 0.1 mg. The average amount of stool that was generated on the slide was calculated for each template, stratified by standard categories of stool consistency (i.e. mushy, soft, sausage-shaped, hard, and clumpy). The average amount of stool generated on slides was 40.7 mg (95% confidence interval CI: 40.0 – 41.4 mg), 40.3 mg (95% CI: 39.7 – 40.9 mg) and 42.8 mg (95% CI: 42.2 – 43.3 mg) for the standard Vestergaard Frandsen template, and two different templates from the Chinese Center for Disease Control and Prevention (China CDC), respectively. Mushy stool resulted in considerably lower average weights when the Vestergaard Frandsen (37.0 mg; 95% CI: 34.9 – 39.0 mg) or new China CDC templates (37.4 mg; 95% CI: 35.9 – 38.9 mg) were used, compared to the old China CDC template (42.2 mg; 95% CI: 40.7 – 43.7 mg) and compared to other stool consistency categories. The average amount of stool generated by three specific Kato-Katz templates was similar (40.3 – 42.8 mg). Since the multiplication factor is somewhat arbitrary and small changes only have little effect on infection intensity categories, Leuenberger etc. suggested that the standard multiplication factor of 24 should be kept for the calculation of eggs per gram of faeces for all investigated templates.
The Effect of Crossword Puzzle Learning Strategies on Fourth Grade Students' Learning Outcomes on Science Learning Contents at Gunung Sari 1 Elementary School Rappocini District Makassar City

ABSTRACTThis research is a pre-experimental research which aims to determine whether or not there is an effect of the crossword puzzle learning strategy on the learning outcomes of fourth grade students on science learning content at Gunung Sari 1 elementary school, Rappocini District, Makassar City. The independent variable in this study is the crossword puzzle learning strategy, while the dependent variable is the student learning outcomes in science learning content. The population and sample in this study were fourth grade students of Gunung Sari 1 elementary school, Rappocini District, Makassar City, with a total of 26 students. The research data obtained by giving a test of learning outcomes on the theme of caring for living things, sub-themes of animals and plants in my home environment in the form of pretest and posttest. The data analysis technique used is descriptive statistical analysis and inferential statistical analysis. Based on the results of the descriptive statistical analysis that has been carried out, it can be concluded that the pretest score is in this good category because the mean value of overall learning outcomes is 80.19 while from the posttest it is also in the good category because based on the overall mean value of learning outcomes is 83.27 while The results of inferential statistical analysis after the normality test using the Kolmogorov-Smirnov test with pretest and posttest data are normally distributed and the results of hypothesis testing using the paired sample T-test whose probability value is 0.000 &lt;0.05, which means that Ho is accepted and Ha is rejected because the test criteria are if the probability value greater than the significance level of 0.05, Ho is accepted and Ha is rejected, in other words, the pretest and posttest data have a significant difference. It can be concluded that the crossword puzzle learning strategy has a significant effect on the fourth grade learning outcomes of science learning content at SDN Gunung Sari 1 Rappocini District Makassar City. Keywords: learning strategies, crossword puzzle, learning outcomes
SISTEM INFORMASI PENDISTRIBUSIAN BARANG DARI PUSAT KEPADA CABANG DI KEDAI KOPILAHWAK MENGGUNAKAN JAVA DAN MYSQL

Recording system at Kopilahwak shop still using manual system, it hampered the transaction process both incoming goods transactions, goods transactions out and report recording. Where the time in use in these transactions long enough and less accurate when the calculation, especially with the many types of goods and different prices different. With the development of technology, where information technology today is very easy and helpful, without the need to do the recording using a lot of paper. Only in need distribution information system which can be run in the form of application. The application system can help the Kopilahwak shopper in recording to be easier and efficient and easier when calculating stock of goods and others.
¿Cómo un algoritmo puede resolver un problema en una comunidad gamer? El caso del juego Pokemón Go

Videogames since their creation have been striking for people, some consider them beneficial, others harmful. However, the creation of video games has remained despite the prejudices. The evolution they have had over time and with the help of new technologies have brought players from different parts of the world closer to playing with each other. This has led to the creation of both local and international gaming communities. In these communities, important information is shared about updates, strategies, help of videogames is shared and you can even share publications with images or videos. The Comunidad Fly Oficial is based on Pokemon Go (PG), which is a game for mobile devices that uses the Global Positioning System (GPS) and Augmented Reality (AR). This community publishes GPS mission routes for some cities in the world and sorts them by distance to make the most in the least time and get special items. However, such information required a tiring manual process. For this reason, the present work aims to publicize the experience of implementing an algorithm to generate an optimal GPS route in time and distance so that players can do missions in a better way and, in turn, strengthen the community.
The Effects of Bullying on Hannah Baker Reflected on Jay Asher’s Thirteen Reasons Why Novel (2007): A Sociological Perspective

This study focuses on the effect of bullying on Hannah Baker reflected on Jay Asher’s Thirteen Reason Why novel (2007). This study is a sociological perspective. This study aims to explain Hannah Baker’s bullying indicators, to depict the bullyingon Hannah Baker on Jay Asher’s Thirteen Reasons Why, to interpret the reasons of Jay Asher chooses bullying on Thirteen Reasons Why novel. There are two types of data, primary data and secondary data. There are three results of research from this novel. First, the indicators of bullying found in Thirteen Reasons Whythe novel by Jay Asher as follows gives an unpleasant look, body shaming, physical violence, ridicule, and touch a body part without permission. Second, the author describes the issue of bullying through character, events and setting. Third, the author addressed the bullying based on one of his relative's experience.
LibGuides: Keep Learning with Kellar Library: Chat with the Librarian

A guide helping students and faculty of BMATS to understand how Kellar Library is responding during the Coronavirus Pandemic and the resources and services that are available to students during this time, Chat with the Librarian or submit a ticket to get a response later.
Adaptive feature aggregation network for nuclei segmentation.

Nuclei instance segmentation is essential for cell morphometrics and analysis, playing a crucial role in digital pathology. The problem of variability in nuclei characteristics among diverse cell types makes this task more challenging. Recently, proposal-based segmentation methods with feature pyramid network (FPN) has shown good performance because FPN integrates multi-scale features with strong semantics. However, FPN has information loss of the highest-level feature map and sub-optimal feature fusion strategies. This paper proposes a proposal-based adaptive feature aggregation methods (AANet) to make full use of multi-scale features. Specifically, AANet consists of two components: Context Augmentation Module (CAM) and Feature Adaptive Selection Module (ASM). In feature fusion, CAM focus on exploring extensive contextual information and capturing discriminative semantics to reduce the information loss of feature map at the highest pyramid level. The enhanced features are then sent to ASM to get a combined feature representation adaptively over all feature levels for each RoI. The experiments show our model's effectiveness on two publicly available datasets: the Kaggle 2018 Data Science Bowl dataset and the Multi-Organ nuclei segmentation dataset.
Knowledge-based Direct Anaphora Resolution for Definitive Pronouns

The anaphora phenomenon is the presupposition of an element, so this element is not mentioned directly, anaphora is a reference to previous antecedent. Anaphora resolution tries to find the antecedent of a referent, this research is focused in the anaphoric relation between a noun anda pronoun in the Winograd Scheme, the anaphora resolution is essential for many tasks in Natural Language Processing, such automatic translation, automatic summarization, etc. Nowadays there are many different approaches for anaphora resolution and pronoun resolution, this research is based in a knowledge approach with similarity and related nessmeasure. proposing many methods to choose the correct antecedent for a pronoun in anaphoric relation, using stemming, removing determinants, synonyms and hypernyms to get a higher range of match in verb-noun relation.
Jotform Application Training for Making Questionnaire and Attendance Forms

The problem of teacher weakness in using software applications to support the online learning process is the theme raised in this training. The solution offered from this training is the Jotform application. The purpose of this training activity is to introduce the Jotform application to teachers in Garut. The research implementation method consists of five stages, namely: introduction, socialization, training, practice, and monitoring. The object of this training activity is the teachers in the Garut region. The training was conducted in two sessions, namely: presentation of material and practice. The benefit of the Jotform application training is evident from the commitment of the training participants about the plan to implement the Jotform application in their learning class. The results of the evaluation of the implementation of this training indicate that this training is useful to support the teaching and learning process carried out in schools. The training method is able to improve the skills of teachers in using the Jotform application. The conclusion of this training is the knowledge in using the Jotform application for teachers so that it is hoped that in the future teachers in Garut will use the Jotform application in making attendance forms and questionnaires/assignments/quizzes
An Optimum Feature Selection Technique using Jaya Algorithm for Histopathology Tissue Image Classification

As a consequence of presence of complicated environment and composite architecture, analysis of histopathological tissue images is a challenging task. Relevant features are selected in the classification stage. Irrelevant and redundant features in results in elevated computational cost and poor performance. To achieve the salient set of features against the features that are extracted, in this paper, an advanced optimum method for selection of the features for classification of histopathology tissue image using Jaya algorithm has been exhibited. To do likewise, a previously instructed AlexNet has been utilized because of the differentiating performance in image classification. Additionally, execution of four distinct classifier have been tested for the features selected in reference of segregating the histopathological tissue images within four classifications especially; connective tissue, nervous tissue, muscular tissue and epithelium tissue. Exploratory outcomes approve that the proposed optimum feature selection method for classification of histopathology tissue image by applying jaya algorithm accomplishes better optimal values on CEC2015 functions along with accomplishing high classification performance when contrasted with the other feature selection methods.
The Impact of Social Networking Sites on Youth

The extensive use of social media in India has been on the rise among the new generation youths. In today’s world, use of social media has become an integral part of everyday life of human being. This study aimed to know the impact of Social Networking Sites on the youth With Special Reference to Kerala. A total number of 366 respondents. Data were processed and analyzed by the Statistical Package for social science. It is found that the majority of respondents are Male. The majority of the respondents are the purpose of using social networking sites in (SSN) just for fun and entertainment (SNS). Here the majority of the respondents are preferred social networking sites are Whatsapp. This paper throws a light on pattern of social media usage and its impact on youth. The new age social networking culture has been accepted and got annenthusiastic response. It is evident from the studies that social media has both positive and negative impact on youths.
Linguistic Diversity in Online Space – A Study on South Asian Languages

Rich linguistic diversity is hallmark of South Asian regions that comprises eight nations. Some of the languages are spoken in more than one country, and scripts of few languages are common. This shared commonality increases the cultural diversity within this region. Equally South Asian region is witnessing massive growth of Internet users barring few nations. With the affordable Internet connectivity through multiple telecommunication players, many Internet users are active in social media. These scenarios are highly congenial for any language to adapt into online platform easily. With this assumption, this article is attempting to explore the linguistic diversity and web presence of South Asian languages in online space. To measure the web presence of these languages, this article relies on three sets of data - Wikipedia articles, Google search techniques, and online algorithm. With these three indicators, an attempt would be made to measure the nature and present scenario of adaptability nature of South Asian languages in online space.
Penerapan model pembelajaran mind mapping untuk meningkatkan ketrampilan membaca pemahaman siswa kelas III sekolah dasar

&lt;p&gt;Abstract. The purpose of the study was to investigate the application of mind mapping models to improve reading comprehension skills of elementary school students. This research is Classroom Action Research with two cycles. The subjects of this research were students of the 3th students at SD Negeri Totosari Surakarta in the 2019/2020 academic year, totalling 30 students. This research uses data collection techniques in the form of interview, observation, field notes, tests, and documentation with data analysis of content validity and triangulation. This data was obtained from the pre-test and post-test results by applying the mind mapping learning model during the learning process. To conduct a statistical analysis of the study, using an assessment guideline adopted from one expert. The results show that the mind mapping learning model has a significant impact on improving reading comprehension skills of elementary school students. The findings of this study can provide a reference for teachers to apply mind mapping learning models into the learning process according to the material to&lt;br /&gt;be developed.&lt;br /&gt;Keywords: Mind mapping,Reading chomprehensif , elementary school&lt;/p&gt;