Reviewerly/exHarmony huggingface dataset:
Examining the feasibility and acceptability of mobile based interactive 4 voice response system for delivering reproductive health messages in rural India

Background: Use of mobile-based technology in public health is rapidly expanding for dissemination of information and service monitoring. Present study examines the feasibility and acceptability of mobile based Interactive Voice Response System (IVRS) on delivering reproductive health information among young married women (YMW) through ASHA. Methodology: Two Indian blocks selected for intervention due to their low reproductive health indicators. IVRS covered 220 ASHAs and around 1000 YMWs. The study analyses quantitative study among ASHA and YMW, 20 focus group discussions conducted after six months of intervention among ASHAs, YMW, pregnant women and lactating mothers. Additionally, MIS data findings also added. The data collected during 2016-2017 and analysis and manuscript writing conducted during 2018 and 2019. Results: All ASHAs (82) interviewed revealed that IVRS enhanced their existing knowledge and work efficiency on reproductive health. They reported that families of YMW rely more on them than before, as families equally access IVRS facility for their queries. Mostly YMW (25) showed their initial hesitation, as they were not accustomed with IVRS technology before, got habituated with the support of ASHA. MIS data suggest that the call rate increased more than 6 times from its launch during 15 months intervention period. It was witnessed that ASHAs mostly opted for pregnancy & delivery section where as YMW mostly opted for pre-conception care section. It was reported that information through entertainment section had five times more listener than general information sharing section. Women narrated the ease of getting information regarding contraceptive methods, menstruation issues 3 and care during pregnancy along with the care for children through IVRS. Nearly all the participants indicated that IVRS is of great use as it’s free of cost, available all the time and easily accessible
Implementasi Impelmentasi Model Kooperatif Tipe Team Game Turnament dalam Pembelajaran Analisis Nuansa Makna Pada Kumpulan Lagu Letto Band Berdasarkan Majas (Studi Eksperimen di Kelas XII MA Al-Hasaniyah Senori Tuban)

Analyzing the nuances of the meaning of the song included in the high school curriculum class XII, It indicates that high school students are required to be able to analyze the meaning or interpret the meaning contained in the lyrics of a song poem. However, the reality in the field of learning to analyze the nuances of the meaning of the song is considered difficult for students. Difficulties occur students are less able to master the elements of maje so that the nuances of the meaning of the song cannot be interpreted with the right meaning. The purpose of this study was to determine the effect of analytical learning using the Team Game Turnament (TGT) model on the nuances of the meaning of the song Letto based on the opera, and also to determine the response of students in learning the nuances of the song based on the meaning of the song Letto. This research uses an experimental method. There are two classes studied, namely the experimental class and the control class. Experimental classes that will be subject to treatment get learning with the TGT model. The results showed that learning by applying the TGT model had a positive effect on students' ability to analyze the nuances of the meaning of the Letto song based on majas. Students gave a positive response to learning the nuances of the meaning of the song Letto based on majas with the implementation of the TGT model.Keywords: Team Game Tournament (TGT), experimental class, control class, student response
Performance Analysis of Median Filter With Respect to Different Padding Methods in the Context of Removing Salt and Pepper Noise

Image Processing is one of the major areas of research. Images are often corrupted with different types of noise such as Gaussian noise, Poisson noise, Salt and Pepper noise, Speckle noise etc.The present work analyses the performance of the median filter with respect to different padding methods in the context of removing salt and pepper noise.Peak Signal-to-Noise ratio and Mean Squared Error have been considered as parameters for performance evaluation. The results obtained show thatthe Peak Signal-to-Noise Ratio and Mean Squared Error obtained between the original image and the filtered image obtained by applying median filter with symmetric padding method on the image corrupted with salt and pepper noise is same as the Peak Signal-to-Noise Ratio and Mean Squared Error obtained between the original image and the filtered image obtained by applying median filter with replicate padding method on the image corrupted with salt and pepper noise respectively.
Training of Growth Chart Filling In Puskesmas Gimpu Sigi

This community service aims to improve the knowledge and skills of cadres in filling growth chart in Pilimakujawa, Moa and Lempelero villages in the Gimpu Health Center Work Area, Sigi Regency. The knowledge and skills of cadres in filling out the growth chart are very important and can be assessed based on the accuracy of filling out the growth chart. From the preliminary study obtained information that many cadres who do not know very well how to fill growth chart, especially in remote areas inaccessible region Gimpu Sigi Health Center. The method is carried out using lecture and demonstration methods accompanied by training materials related to filling out the growth chart. This activity is useful because there is an increase in the knowledge and skills of posyandu cadres in filling out growth charts.
Pelabelan Selimut Bintang Ajaib Super Pada Graf Bintang

Let be a simple graph. An edge covering of is a family of subgraphs such that each edge of graph belongs to at least one of the , subgraphs. If each is isomorphic with the given graph , then it is said that contains a covering. The graph G contains a covering and the bijectif function is said an the magic labeling of a graph G if for each subgraph of is isomorphic to , so that is a constant. It is said that the graph G has a super magic if in this case, the graph G which can be labeled with magic is called the covering graph magic. A star graph with n points is a graph with points and sides, where point is degree and the other point has degree denoted by . This study aims to determine the presence of covering labeling for the super-magic star on the star graph. The research methodology is literature study. The results show that the star graph for has magic covering labeling with magic constants for all covering is and the super-magic covering labeling with magic constants for all covering is .
Pelatihan Pemanfaatan ID Author bagi Dosen

Training activities for the use of Author ID for Lecturers in the STEI Al-Furqon Prabumulih environment can be carried out well and smoothly due to the collaboration of the Sekolah Tinggi Ekonomi dan Bisnis Syariah (STEBIS) Indo Global Mandiri Palembang with STEI Al-Furqon Prabumulih which was held on April 6, 2021 in the STEI Hall Al-Furqon Prabumulih from 08.00 WIB to 16.30 WIB. The purpose of this activity is to provide understanding and knowledge about Author IDs that a lecturer must have in supporting the Tridharma of Higher Education which he must carry out every semester. This activity uses the method of material presentation, guidance and practice of making Author ID and evaluation. The result of this training is that Author ID is an important component that every lecturer must have in order to support the success of the Tridharma of Higher Education which is implemented. With the Author ID, each lecturer can improve scientific publications and disseminate knowledge quickly to the community and even the world.
E-COMMERCE TUMBAS DAGING

The name Tumbas Daging comes from the word Tumbas which in Javanese means Buy and use the word Meat because this system sells meat products. Tumbas Daging in collaboration with fresh meat seller Sumber Rezeki, Sumber Rezeki is one of the businesses engaged in the beef trade, Sumber Rezeki itself is located at Jalan Banteng Raya No.4, Semarang City. Sumber Rezeki has a few problems with sales during Eid because the demand for meat is increasing, therefore with the E-Commerce tumbasdaging.com, selling meat at Sumber Rezeki is made easier because buyers or customers do not have to come to the shop to buy meat, but buyers or customers can buy meat at Sumber Rezeki through E-Commerce tumbasdaging.com. Tumbas Daging using the prototyping method in this study aims to get an overview of the applications that will be built through the development stage of the Prototype application first which will be evaluated by the Sumber Rezeki meat seller. The Prototype application that has been evaluated by Sumber Rezeki will be used as a reference in making applications that will be used as E-Commerce for Tumbas Daging. The purpose of this collaboration with Sumber Rezeki is to be able to build Tumbas Daging E-Commerce so that it can be used by many people to sell beef or purchase beef through the website tumbasdaging.com.
Diagnosa COVID-19 Chest X-Ray Dengan Convolution Neural Network Arsitektur Resnet-152

The availability of medical aids in adequate quantities is very much needed to assist the work of the medical staff in dealing with the very large number of Covid patients. Artificial Intelligence (AI) with the Deep Learning (DL) method, especially the Convolution Neural Network (CNN), is able to diagnose Chest X-ray images generated by the Computer Tomography Scanner (C.T. Scan) against certain diseases (Covid). Resnet Version-152 architecture was used in this study to train a dataset of 10.300 images, consisting of 4 classifications namely covid, normal, lung opacity with 3,000 images each and viral pneumonia 1,000 images. The results of the study with 50 epoch training obtained very good values for the accuracy of training and validation of 95.5% and 91.8%, respectively. The test with 10.300 image dataset obtained 98% accuracy testing, with the precision of each class being Covid (99%), Lung_Opacity (99%), Normal (98%) and Viral pneumonia (98%).
A rede epistêmica da informação gênero-sexualidade na Ciência da Informação

Systematize an epistemic network of gender-sexuality information, within the scope of Information Science, taking as a reference the relationships between themes, co-authorships and institutions. It is a descriptive research that has as its study material the scientific production on gender-sexuality information made available in the Database in Information Science (BRAPCI), in the period from 2009 to 2019. It is also characterized as bibliographic research with qualitative and quantitative approaches. The data were organized in graphs and graphs, enabling discussions based on Social Network Analysis. The scientific findings reveal that the production on gender and sexuality information, in the analyzed period, constitutes a collaboration system composed of 77 researchers linked to 21 Postgraduate Programs in Information Science, who worked 96 LGBTQIA + themes. It is an epistemic network that is systematized around specific themes and diverse methodologies, as to the objectives, approaches and research procedures, which are structured around the collaboration of researchers, research groups, postgraduate programs graduate and institutions working in this area. The epistemic network of gender-sexuality information in Information Science is, in essence, a macro network constituted by networks of institutions, co-authorships and themes, which reveal themselves as a system of knowledge production in the horizon of improving the lives of LGBTQIA + subjects.
The Influence of Student Involvement, Religiosity, and Peer Influence on Lifelong Learning Skills as Mediated by Teacher Support

This study explored how students' involvement, religiosity, and peer influence affect the lifelong learning skill of college students as mediated by teacher support using structural equation modeling.A cross-sectional design was applied using survey questionnaires utilizing 593 randomly selected college students enrolled in a faithbased university.All statistical outputs were generated using SPSS version 23 and SMART PLS.Results revealed that more college students were involved in small groups, professional organizations, and campus sports programs for more than three semesters compared to other extracurricular activities.College students have friends who influence them and in their intellectual growth, attitude, values, and other aspects of influence and teachers show supported them academically, emotionally, and spiritually.They were also involved in different religious practices and perceived that their lifelong learning skills were developed during their stay in the university.This study concludes that teacher support fully mediates the influence of student involvement in extracurricular activities and the percieved lifelong learning skills but partially mediates with peer influence on lifelong learning skills.However, religiosity directly influences the perceived lifelong learning skills of the college students.Recommendations are discussed on how to enhance involvement, peer influence, religiosity, and the role of teachers to develop the lifelong learning skills of college students.
Emotion vs. Information in Cine-VR

Cinematic virtual reality (cine-VR) is its own medium. A song and a movie can both make the readers cry, but they do it in different ways. Similarly, cine-VR has its own tools – tools that need to be considered, examined, and perfected if we, as storytellers, are going to harness the impressive power that it contains. One of the most intriguing aspects of this emerging medium is how the audience processes emotion and information. Storytellers can add additional complexity to the Christmas Carol Continuum by considering how the audience mentally and emotionally absorbs their cine-VR worlds. The audience's ability (or inability) to absorb various aspects of a cine-VR story turns our continuum into a matrix. Each cine-VR experience was designed as a single scene in a single location with single camera placement.
INFORMATION TECHNOLOGY FOR SYNTHESIS AND OPTIMIZATION OF FUZZY SYSTEMS RULE BASES

In the last two decades, intelligent computer systems based on fuzzy set theory, fuzzy logic and soft computing are widely used in various fields of science and technology to solve problems of control, identification, modeling of complex physical and economic phenomena, classification, pattern recognition, etc. Modern research in the field of creation and development of fuzzy systems (FS) of control and decision-making is conducted mainly in the direction of development of highly effective methods and information technologies of their synthesis and structural-parametric optimization. This paper is devoted to the development and research of information technology for the synthesis and optimization of highly efficient rule bases (RB) with the optimal set of consequences and optimal number of rules for Mamdani-type FSs in terms of incomplete source information. The developed information technology allows to conduct iterative search of the optimal vector of RB consequences based on a sequential search of the consequences of each rule, as well as to identify and exclude rules from RB, that do not affect the system operation, to reduce the total number of rules to optimal. To study the effectiveness of the proposed information technology in this work, the synthesis and optimization of the fuzzy automatic control system (ACS) for the multi-purpose mobile robot (MR), which is able to move on inclined and vertical ferromagnetic surfaces, is carried out. The obtained results of computer simulation showed that the fuzzy ACS of MR with optimized RB based on the developed information technology has higher quality indicators of control compared to the ACS with a similar RB developed on the basis of experts knowledge. Also, the optimized RB by means of the proposed information technology has fewer rules than the full RB, which is synthesized on the basis of experts knowledge, which, in turn, significantly simplifies the further software and hardware implementation of the developed fuzzy ACS of MR. In addition, in the process of synthesis and optimization of the RB for the fuzzy ACS of MR, presented information technology did not require significant computational costs, which generally confirms its high efficiency and feasibility of application to design rule bases of control and decision making FSs of different types.
Study of the level of professional self-determination of students in grade 9

The purpose of this study is to disclose the content of the concepts of self-determination, and to describe the results of the study to determine the level of professional self-determination of students in grades 9. Methodology / methods: analysis of basic research concepts based on the study of philosophical, psychological, pedagogical, sociological, literature, government documents and analytical materials of the Ministry of Education and Science of the Republic of Kazakhstan, generalization and interpretation of scientific data, experiment. Main results: in the process of studying the level of professional self-determination among students in grades 9 of urban and rural schools, differences in the choice of professions are noticeable: in an urban-type school, preference among students is given to the type of person as “Entrepreneurial” and the least “Artistic”. And in two rural schools, students chose the type of personality “Social”, the least “intellectual, entrepreneurial,” that is, the opposite of the choice of children in a city school. Findings. This study allowed us to obtain the following conclusions. The essence of the concepts of self-determination, was substantiated based on the analysis of scientific psychological and pedagogical literature, the content of the concept of was clarified. Experimental work was carried out to determine the level of professional self-determination among students in grades 9 of urban and rural schools. Justification of the novelty of the work. The authors tried to determine the content of the concepts of “self-determination”, “professional self-determination” and for the first time to identify the level of professional self-determination among students in grades 9 (urban and rural schools).
Modified Form of Cayley Hash Function

In 1994 (AT CRYPTO94) introduced the celebrated Zemor-Tillich hash function over SL2(F2n) is mathematically very efficient and simple method but now finally it was broken by Grassl et al., 2011. Yet with a new choice of generators Zemor-Tillich constructions still remains of interest and a lot of construction was based on this type of hash function was created. One of our new construction is the devised Hash Function as follows: to an arbitrary text of {0, 1} *, associate the string of {A, B} obtained by substituting 0 for A and 1 for B, then assign to A and B values of adequately chosen matrices of Heis(Z). Now, in this paper we suggest a new version of a Cayley hash function using a discrete Heisenberg group. The Hashed value is the computed product. We improved the security Properties of the Cayley Hash Function. Here we hold a different concept to form a Factorisation Problem harder. We hold an efficient way to impose limits on the type of factorisations for attacking H.
Robust Facial Expression Classification using CNN and Multi-Layer Perceptron Network classifiers

Facial expression is the display of people's emotions, and it plays an important part in everyday conversation. As a result, Facial Expression Recognition (FER) is becoming an extremely important activity in modern society. Face identification, image extraction, and classification are the three phases of FER. While many FER systems are proposed to recognize only some face expressions, this paper proposes a recognition system for automatic face expression which recognizes all eight essential facial expressions (Normal, Cheerful, Anger, Scorn, Surprise, Sad, Terror, and Disgust). The approach is tested with the Extended CK+ dataset. The algorithm Viola-Jones is used for facial recognition in the presented process. A descriptor used for characteristics of descriptive face pictures is the Histogram of Oriented Gradients (HOG). The Primary Component Analysis (PCA) is used to achieve the most critical features to minimize feature dimensions. Finally, using two different classifiers, Multi-Layer Perceptron Neural Network (MLPNN) and Convolutional Neural Network (CNN), the presented approach categorized facial expressions, and the results were compared.
New Technique withConvolution Neural Networks (R- CNN's) Model for Hand Detection

The ability to listen and say the word are the most important aspects ofcommunication, but many of us are unlucky because we were not born with this skill from God.These people are deaf and dumb. Many studies are currently being conducted to address thedifficulties that these members of our society encounter in communicating with ordinary people.It is extremely difficult for mute (deaf and dumb) people to communicate their information to thegeneral public. Because the average person is not adequately prepared to grasp various sign. Itgets very difficult to communicate between these two types of people. Our research is only forthe purpose of assisting these mute (deaf and dumb) people in leading a better life. Manycomputer vision tasks involving human hands, such as hand pose estimation, hand identificationof gestures, human behavior analysis, and so on, are performed by humans. include handdetection as a critical pre-processing technique. However, due to the diverse appearancediversities of human hands, such Strong diffraction, weak resolution, fluctuating levels of light, avariety of hand gestures, and complicated interactions between hands and things or other handsare all factors to consider. such as (different hand forms, hand tracking, skin colors, scales,illuminations, orientations, gesture analgesia), accurately detecting hands is a difficult activity. incolor pictures, as well as Interaction between humans and machines, recognizing of signlanguages and so on). To address this problem, a region-based convolution neural networks (RCNN's)was used, in which hand regions are discovered and hand appearances are recreatedsimultaneously using attributes derived from a region proposal. The R-CNN was shown to besuitable for hand gesture detection with acceptable error.
Amazon says it is investing over $700M to upskill 100,000 employees

Amazon announced it was planning to spend more than $700 million to upskill 100,000 employees or one in three staffers.