Reviewerly/exHarmony huggingface dataset:
Klasifikasi Gerakan Tangan Menjadi Suara Menggunakan Neural Network

Indonesian Sign Language (BISINDO) is a language for people with hearing impairment and speech impairment. But sign language still has disadvantages when it is used for people who have never learned sign language that is normal people. Therefore we need a tool in the form of gloves that can translate sign language with sound output. This instrument consists of ten flex sensors, two GY521 sensors, two arduino nano, one arduino mega, a computer and android devices. There is a classification method that is a neural network with data samples of ten hand movements that have meaning (saya, kamu, bapak, ibu, adik, tidur, bertemu, apa, maaf, hari ini) and each hand gesture twenty times. Classification results vary. (saya) get 100% success, (kamu) get 80% success, (bapak) get 60% success, (ibu) get 20% success, (adik) get 90% success, (tidur) get 80% success, (bertemu) get 100% success, (apa) get 70% success, (maaf) get 50% success, and (hari ini) get 90% success. The overall average is 74%.
Calculation of random pairs of primes whose product lies in a given short interval

The paper proposes heuristic algorithms for constructing pairs of random primes, the product of which lies in a given interval $ \left (\Delta, \, \Delta + \delta \right). $ One algorithm refers to the case $ \delta = \sqrt {\Delta }, $ and the second to $ \delta = 30 \Delta^{1/3}. $ They allow in the well-known RSA cryptosystem to choose shorter public keys (twice for the first algorithm and three times for the second).
Categorical-Systemic Thinkingas a Tool for the Reengineering of intellectual Activity

The textbook by G. D. Boush and V. I. Razumov “The methodology of scientific research (in candidate and doctoral dissertations)” fills in the lack of fundamental and systematized works on the methodology of scientific research. The authors consistently and deeply expound the logic and procedure of preparing scientific research, reveal the heuristic potential of significant methodological approaches, technologies and scientific methods. Particular attention is paid to the categorical-system methodology, which allows to analyze the object at the essential level and achieve holistic, consistent knowledge. The textbook should be recommended to anyone who is interested in developing their own cognitive potential, logic and methodology of thinking, understood as a tool for reengineering intellectual activity.
Developing a Digital Learning Interactive 3D Exploded View Automobile Brake System

This research aimed to design and develop an Exploded View 3D Model learning media on the brake system topic, as well as knowing the feasibility of learning media 3D Exploded View model on brake system topic. This study used the research and development method. The development model used the ADDIE, which consists of five stages: analysis, design, development, implementation, and evaluation. The subjects of the product trial were teachers and 11th-grade students in Public Vocational High School 11 Malang. Material experts and media experts carried out the product feasibility test phase. A media test was conducted on students. The data analysis technique used questionnaire and evaluation questions, as well as descriptive statistical analysis techniques. The results of this study were an Android-based learning media in the form of a 3D Exploded View model on brake system topic, and the results of the feasibility assessment by material experts got a percentage of 89.6% in the category of feasible. The feasibility assessment by media experts received a percentage of 95.8% in the category of feasible. The percentage obtained from small group trials was 85% with the category feasible. The results of the student evaluation found that the average field trial score was 89. The conclusion of this research was the development of Android-based Learning media on the brake system topic is declared feasible to be used in the learning process.
Speaking Activities in English Debating Club: a Case Study at English Conversation and Debating Club of SMKN 1 Pandeglang

The purposes of the research is aimed at knowing how speaking activities and speaking difficulties are practiced in English Debating Club. The method used in this research was a case study. The instruments used to collect the data were observation, questionnaire, and interview. The respondents were 15 students of English Conversation and Debating Club at SMKN 1 Pandeglang. The result of the research confirms that by joining English Conversation and Debating club, students are able to (1) speak English fluently because they have more practice; (2) they can speak English quietly accurate; (3) the students are custom to speak English; and (4) they also speak with few grammatical errors, few long pauses, and only few clarifications for the beginners debaters (junior members) than the experienced debaters (senior members). On the other side, the difficulties of speaking found when they selecting the data and evidences, making argument, and making rebuttal due to the various resources.
THE EFFECT OF USING FOUR SQUARE METHOD IN WRITING NOTICE TEXT AT THE GRADE VIII OF SMP NEGERI 11 PADANGSIDIMPUAN

The study was conducted at the Grade VIII of SMP Negeri 11 Padangsidimpuan. The aims of this research was to find out if there was a significant Effect of Using four square method on Students’ Writing notice t text at the Grade VIII of SMP Negeri 11 Padangsidimpuan. In order to achieve the purpose of this research, the writer carried out in quantitative approach by applying experimental method. The population of this research was the Grade VIII of SMP Negeri 11 Padangsidimpuan. They were 108 students, the writer used cluster sampling technique to get the sample. The samples were 32 students. The writing notice text was applied as the instrument of this research, the writer used “t” tes formula. Based on the data that has been analyzed, it can be found that (1) the students’ achievement in writing notice text without using four square method was “enough” (65.00), (2) their value by using four square method can be categorized “good” (77.00), and (3) there was a significant effect the result of writing notice text by using four square method. It meant that the hypothesis was accepted.
Pandemia y virtualidad forzada en la escuela para adultos. Reflexiones, aportes y experiencias educativas desde el C.E.N.S Nº 1

As a consequence of the abrupt suspension of face-to-face education, which occurred within the context of the “preventive and compulsory social isolation [PCSI]” measures decided to contain the spread of the viral disease, various strategies were deployed to give continuity to formal education, acquiring preeminence, within them, the virtual teaching modality. Considering this, we propose to characterize the development of educational continuity from the establishment of the new form of virtual education in schools C.E.N.S No. 1 of Santiago del Estero, taking into account the unique social and economic conditions that defines the students of these institutions. To address this objective, in addition to the exploration of the relevant conceptual theoretical development, we analyze an empirical material collected through field work consisting of students and teachers surveys and interviews with the authorities of the referred school C.E.N.S. The study allows us to know that the virtual modality operates as one more conditioning for this group of students, manifested in the low participation of students.
Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection

Metric space magnitude, an active field of research in algebraic topology, is a scalar quantity that summarizes the effective number of distinct points that live in a general metric space. The {\em weighting vector} is a closely-related concept that captures, in a nontrivial way, much of the underlying geometry of the original metric space. Recent work has demonstrated that when the metric space is Euclidean, the weighting vector serves as an effective tool for boundary detection. We recast this result and show the weighting vector may be viewed as a solution to a kernelized SVM. As one consequence, we apply this new insight to the task of outlier detection, and we demonstrate performance that is competitive or exceeds performance of state-of-the-art techniques on benchmark data sets. Under mild assumptions, we show the weighting vector, which has computational cost of matrix inversion, can be efficiently approximated in linear time. We show how nearest neighbor methods can approximate solutions to the minimization problems defined by SVMs.
IoT based Health Monitoring and Activity Detection for Elderly Care

It is very important to monitor the health condition and activity of the elderly people especially when they are living alone or due to reduced connection with their children and relatives. To automate the elder s activity monitoring, we developed an IoT-based (Internet of Things) health monitoring system with integrating various technologies of wearable and non-wearable devices that are connected to the wireless communication network. Heart rate sensor is wearable and fixd PIR sensors used for find the location. All sensors will communicate and send data to a cloud storage through a home Wi-Fi network. In this system, doctors or guardians can be monitoring elders heart rate and able to track their real-time location through the data given by the sensors when they are living alone at home. Also, these data will be recorded in a remote IoT cloud. Thus these data can be used for data-driven predictions. Mobile app use for monitor the real-time health condition as well as actual location of the patient in the home. Also this app configured to push the notification when abnormal conditions are detected.
PERFORMANCE ANALYSIS OF DATA MINING CLASSIFICATION METHODS USING C4.5 ALGORITHM FOR STUDENT GRADUATION PREDICTION (CASE STUDY AT SYEDZA SAINTIKA STIKES)

ABSTRACT The passing rate is one of the parameters of the effectiveness of educational institutions. Decreasing student graduation rate affects higher education accreditation. The college database stores student administrative and academic data, if it is explored properly using data mining techniques, it can be seen patterns or knowledge to make decisions. The C4.5 algorithm is an algorithm used to generate decision trees. This method is popular because it is able to classify as well as show the relationship between attributes. This study used data from students of the 2014 and 2015 class of Public Health study programs. The variables used in this study were: NIM, name, gender, entry status, GPA, area of origin and employment status. Based on the test results by measuring the performance of the method, it is known that C4.5 has a high accuracy value of 97.83%. From the accuracy value, it can be concluded that the C4.5 algorithm has a good performance in predicting the timeliness of student graduation. Key w ords: DataMining, Classification, Naive Bayes, Accuracy of Student Graduation
Mobile Laser Device for Express Diagnostics of Red Blood Cells Size Distribution

An express method, based on principles of laser diffractometry, for measuring the parameters of red blood cells size distribution, such as mean size and its dispersion, is proposed. The compact mobile device has been developed for registering diffraction patterns form blood smears and their automatic analysis.
Loss Tolerant Quantum State Tomography by Measuring Wigner Function Overlap

We experimentally demonstrate quantum tomography of a single-photon state, with no assumptions or approximations, by measuring its Wigner function overlap with coherent states. The method is robust to noise and compensates for known loss.
College Students' Intercultural Communication Competence from the Perspective of Big Data Community

College Students' intercultural communicative competence is the direct embodiment of College English teaching level. Based on the perspective of the community of human destiny and big data association analysis, this paper studies the intercultural communication competence of college students. Based on the field survey, quantitative research and qualitative analysis, this paper obtains the basic information of English Majors' intercultural communication knowledge, ability and willingness in a university in Hainan Province. After big data processing, this paper analyzes the current situation of English Majors' intercultural communicative competence, and puts forward the corresponding countermeasures to improve the intercultural communicative competence of college students. The results of the experiment show that, in view of the existing problems and taking corresponding countermeasures to cultivate students' intercultural communicative competence, the training goal can be fully achieved. However, only when schools, teachers and students attach great importance to it and actively participate in the teaching reform, can we receive actual results.
A RECENT GEOMORPHIC AND PEDOLOGICAL STUDIES ON MENOUF PROVINCE SOILS, MENOUFIA GOVERNORATE, EGYPT

The current work was performed in 2018 aiming to study the geomorphological and pedological characteristics as well as classification and capability evaluation for soils of Menouf province area, Menoufia governorate, Egypt. The integration of Remote Sensing (RS) and Geographic Information System (GIS) techniques was used to achieve this work. The geomorphic map produced by processing and identifying the Landsat image using RS and GIS technology indicated that, the main landscape unit in the studied area is Alluvial Plain includes nine landforms namely: high terraces (19.4% of the studied area), medium terraces (15.3%), low terraces (24.6%), over flow basin (25.6 %), decantation basin (7.9%) in addition to meandering belt, depression, levee, and island (with small areas).  Twenty-four soil profiles were chosen to represent the different landforms.The land and site features are observed and registered. The soil profiles were dug, morphologically described, and then samples were collected representing the subsequent layers in each profile for integrated physical and chemical analyses.The studied area has almost flat topography with deep soil profiles and freely well drained. These soils have loam to sandy clay loam texture with moderate medium sub angular to angular blocky structure.The analytical data revealed that, the studied soils are moderately alkaline, non-saline and haven’t sodicity effect. The soils are slightly calcareous having very slight gypsum content. Organic matter (OM) is lowand decreases with depth. The cation exchange capacity (CEC) is correlated to the fine fractions and OM contents in these soils. The studied soil profiles haven't any diagnostic horizons, therefore they were classified up to sub great group level under Entisols order mainly as Typic Torriorthents.The land capability evaluation indicated that, about 48% of the studied soils have a Good capability class (C2) and the rest (52%) are considered as a Fair (C3) one.
Comparing Action Aggregation Strategies in Deep Reinforcement Learning with Continuous Action

Deep Reinforcement Learning has been very promising in learning continuous control policies. For complex tasks, Reinforcement Learning with minimal human intervention is still a challenge. This article proposes a study to improve performance and to stabilize the learning curve using the ensemble learning methods. Learning a combined parameterized action function using multiple agents in a single environment, while searching for a better way to learn, regardless of the quality of the parametrization. The action ensemble methods were applied in three environments: pendulum swing-up, cart pole and half cheetah. Their results demonstrated that action ensemble can improve performance with respect to the grid search technique. This article also presents as contribution the comparison of the effectiveness of the aggregation techniques, the analysis considers the use of the separate or the combined policies during training. The latter presents better learning results when used with the data center aggregation strategy.
COVID-19: Contingency actions for the provision of meals to employees of a university hospital in southern Brazil

EnglishIntroduction: The global pandemic for the new coronavirus has had repercussions in all areas of human activities. Health services are essential for serving the population. However, workers in this sector also deserve attention, the provision of meals being one of those precautions.Aims: This study aims to publicize the actions related to the development of a contingency plan and the provision of meals to workers at a public university hospital in southern Brazil during the coronavirus pandemic.Methods: Study design: descriptive observational. This case study evaluates for the period from March to June 2020 on the evolution of contingency plans in order to guarantee the provision of adequate food and preserve the health of workers in the cafeteria space.Results: The hospital cafeteria served, on average, more than 2,500 lunches before the COVID-19 pandemic began in Brazil. Actions developed by the hospital administration allowed remote work by workers. However, an average of 1,500 lunches is still served daily. In this study, the actions are presented in order to guarantee an adequate environment that does not transmit outbreaks to workers in the hospital environment. Among some actions are issues of menu pattern, guidance, and mandatory handwashing by all users, visual signage on-site, and the internal website, among others.Conclusions: The actions have been effective since there are no records of a COVID-19 outbreak among hospital workers. portuguesIntroducao: A pandemia global do novo coronavirus teve repercussoes em todas as areas das atividades humanas. Os servicos de saude sao essenciais para servir a populacao. No entanto, os trabalhadores desse setor tambem merecem atencao, sendo a provisao de refeicoes uma dessas precaucoes.Objetivo: Este estudo tem como objetivo divulgar as acoes relacionadas ao desenvolvimento de um plano de contingencia e fornecimento de refeicoes aos trabalhadores de um hospital universitario publico do sul do Brasil durante a pandemia de coronavirus.Metodos: Desenho do estudo: observacional descritivo. Este estudo de caso avalia, no periodo de marco a junho de 2020, a evolucao dos planos de contingencia, a fim de garantir o fornecimento de alimentos adequados e preservar a saude dos trabalhadores no espaco do restaurante do hospital.Resultados: O restaurante do hospital serviu, em media, mais de 2.500 almocos antes do inicio da pandemia de COVID-19 no Brasil. As acoes desenvolvidas pela administracao do hospital permitiram o trabalho remoto dos trabalhadores. No entanto, uma media de 1.500 almocos ainda e servida diariamente. Neste estudo, sao apresentadas as acoes para garantir um ambiente adequado que
THE INFLUENCE OF THE STUDENT FACILITATOR AND EXPLAINING ON STUDENT LEARNING OUTCOMES IN ELEMENTARY SCHOOLS

The research objective was to describe the effect of using the Student Facilitator and Explaining model of learning on thematic learning at SDN Balongbesuk, Diwek, Jombang. The experimental method used in this study, and the research design used the Noneequivalent Control Group. Grade IV students were used as subjects in this study. Data were collected by observation, interviews, and tests. The t-test formula is used to analyze the data results. It is shown by the results of the research on learning mechanisms to be more effective by using the Student Facilitator And Explaining learning model, because it participates and engages students directly in the learning mechanism. Make students competent to express ideas or ideas to their friends. The use of the Student Facilitator And Explaining model can increase students' insight while learning, direct student involvement in the learning mechanism, because it can increase student learning outcomes.
POTENTIAL OF SEA FLOW ENERGY AS A RENEWABLE ENERGY SOURCE (RENEWABLE ENERGY) ON THE CAPALULU HOLIDAY, NORTH MALUKU

One of the biggest obstacles to development progress in Eastern Indonesia is the unavailability of electricity,especially on small island islands. The potential of ocean currents is one of the most renewable sources ofenergy considering that the majority of Eastern Indonesia is the ocean and has not been utilized optimally. Thepurpose of writing this paper is to reference the calculation of ocean currents for Indonesian coastal islands thathave minimal electricity. This research method uses literature studies on the morphology of the flow velocity andwind that occurs in the Capalulu Strait and the calculation of the potential of electrical energy in the CapaluluStrait so that the results of this calculation are used as one of the renewable energy methods that are able tomeet the electricity needs of island islands. which has not been electrified in Indonesia, especially in the SulaIslands, North Maluku.Keywords: Electric Energy, Ocean Flow Turbine, Renewable Energy, Strait of Capalulu
Evaluation of the Deterministic Seismic Hazard by using Fuzzy Inference System, Case Study: Tabriz city, Iran

Fuzzy logic is one of the technique that can be used to take into account the uncertainties existed in the phenomenon enter probabilistic or mathematical models. Fuzzy set theory was first introduced by (Zadeh 1965) who developed the concepts of classical sets. Information is obtained from data, measurement or past knowledge, approximation must often be made which is turn introduce uncertainties. Fuzzy expert systems are modeled capable of solve problem as well as expert human.Earthquake phenomenon is one of the most destructive natural disasters that occur every several years and it caused vast human and financial losses. In such awfully status, it is necessary to investigate the different sight of the earthquake. Earthquake is a complex issue, which result from various variables that affect its occurrence, like seismic hazard assessment. Uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rational way. Fuzzy logic can be modeled for two kinds of uncertainties (as low knowledge and human instrumentation and as lack of perspicuity in complex phenomenon), whereas seismic hazard assessment (SHA) face with many uncertainties, using fuzzy logic system can help us to take into account the uncertainty existed for solving problems. Fuzzy set Logic has been used in some earthquake studies (Lamarre and Dong 1986; Chen et al. 1988; Furuta 1993; Chongfu 1996; Wadia-Fascetti and Gunes 2000). Recently it was used to develop to control seismically vibrations of buildings (Kim et al. 2010), to the classification of seismic damages in buildings (Anaxagoras et al. 2003), to seismic signal discrimination between earthquakes and quarry blasts (Lassari et al. 2012).Iran is located in Himalaya-Alpine seismic belt, a destructive earthquake occurs every several years. Northwest Iran is situated between three seismic thrust belts; the Caucasus thrust belt from the North and the Zagros seismic belt from the South and the Alborz Mountain belt to the East, and has experienced many destructive earthquakes. The presence of active faults by different focal mechanism have produced high seismicity in this region, especially Tabriz is considered one of the most important and densely populated cities in the country with a population of more than 1.6 million people in this seismic zone. The northwestern region of Iran has experienced devastating earthquakes in recent years, causing irreparable mortalities and financial losses, which can be mentioned. The 858-year earthquake in Tabriz, which was completely destroyed, was a 4 November 1042 earthquake that killed 40,000 people from and part of the city was completely destroyed and the earthquake of January 8, 1780, which was destroyed by the city of Tabriz, and the number of kills was about 50,000. (Ambraseys and Melville. 1982), As a result, the risk assessment in this area is necessary for a way that reduces uncertainties.