Reviewerly/exHarmony huggingface dataset:
PEMANFAATAN ALAT PERAGA BATANG NAPIER DALAM PEMBELAJARAN OPERASI PERKALIAN SEBAGAI UPAYA MENINGKATKAN HASIL BELAJAR MATEMATIKA

This study aims to determine whether using napier rods can improve student mathematics learning outcomes. The method used in this study is quasi-experimental. The type of research isor Classroom Action ResearchClassroom Action Research (CAR)(CAR). The sample in this study were all students of class IV SD 2 Wadasmalang in the 2018 academic year 2018 as many as 24 students. The instrument used in this study was a student achievement test. Based on the results of the study, it was concluded that the use of napier rod props can improve student learning outcomes in mathematics class IV at SD Negeri 2 Wadasmalang. This can be shown at the end of the cycle test results turned out to be obtained a significant increase in value, meaning that the process of learning mathematics by using the napier rod props the average value of the class has increased with the results on pre-cycle of 51.67; the first cycle was 66.67 and the second cycle was 78.89. With the percentage of completeness in pre-cycle of 25%, the first cycle of 66.67% and the second cycle of 83.34%.
Development of E-Health System with Resource Allocation Forecasting for Local Health Communities

Healthcare providers continue to make progress toward more effective, informed and personalized care through the application of Information Technology.The enhancements in the current processes of health units in one city in the Philippines were based on the interviews, observations, and content analysis.12 informants have participated in the study in which all of them have background in medicine and have firsthand experience on the existing transactions among health units.The informants were interviewed in 10 different occasions.In order to efficiently help the health units in projecting the needed medicines and supplies, Simple Moving Average (SMA) was implemented in the system, it forecasts using the historical data on distributed medicines and supplies to the residents.A resource allocation functionality was also added to the system based on the forecasted results.Relevant capabilities of the system such as enhancing oversight function through traceability of medicines and supplies the illness associated while promoting accountability was also added.Using an alpha testing by 5 ICT experts, the system was found to be acceptable for the quality standard set by ISO 25010, Conclusions and recommendations are also offered.
USING JUMBLED LETTERS TO IMPROVE STUDENTS VOCABULARY MASTERY

Vocabulary considered one of the important things to learn for students, the vocabulary is basic thing that students must be mastered in foreign language lessons, especially in English. Without vocabulary students will have difficulty in mastering skills in English such as writing, reading, listening and speaking. Therefore, it is very important to find out the solution to enhance students’ vocabulary. The objective of the research is to find out whether or not using Jumbled letters can improve the students vocabulary of the tenth grade students in MAN 2 Barru and to find out whether or not using Crossword puzzle can improve the students vocabulary of the tenth grade students in MAN 2 Barru. This research applied quasi-experimental group design with two groups experimental and control class. The population of this research was the tenth grade students of MAN 2 Barru in academic year 2018/2019. The Total sample of the research was taken by using clustering random sampling which consisted of 141 students. From two classes taken from the population of the tenth grade students of MAN 2 Barru, X MIA 1 as the experimental class consisted 29 students and X MIA 3 as the control class that consisted 29 students. The result of the data analysis showed that there was a significant difference of students’ vocabulary before and after teaching vocabulary through jumbled word letters. The value of t-test pre-test 2.09 was higher than t-table 2.000, and the value of post-test 4.62 was higher than t-table 2.000, at the level significance a =0.05 and degree of freedom (df) = 56. It can be concluded that jumbled word letters can enhance the vocabulary of the tenth grade students’ of MAN 2 Barru
Efficient Information Dissemination in Vehicular Networks with Topological Approach

Owing to their ability to provide endless services such as entertainment, adaptive route selection, etc., Vehicular ad hoc networks (VANETs) have received a great deal of interest from both academia and industry in recent years.Vehicles communicate with other vehicles in VANETs and with fixed data transmission infrastructures.Vehicles in VANETs serve as intelligent sensing devices with communication and computing capabilities built in them with Application Unit (AU), and On-Board Unit (OBU).These units can be used in a wide range of applications including warning generation, community services, traffic management, and so on, and can also provide on-board passengers with security, protection, and comfort.As vehicle communications are widely used, there may be congestion in the network and the quality of service may be compromised.That also results in a deterioration of performance in data dissemination.Since its inception, a variety of research initiatives have been carried out for effective data dissemination.Most of the existing data dissemination solution in VANETs could not provide a comprehensive scheme that would meet the parameters of Quality of Service (QoS).Moreover, the existing schemes were unable to provide reliable communication and the broadcast storm problem was not been solved completely.Hence, there was a need of a new solution that meets the desired QoS parameters and ensures reliable communication.It is also necessary that the messages sent are authenticated and delivered to the vehicles in the relevant areas quickly.In this chapter, we present an efficient protocol for fast dissemination of authenticated messages in VANETs.It ensures the anonymity of the senders and also provides mechanism for law enforcement agencies to trace the messages to the senders, when necessary.
OPTIMALISASI KETERAMPILAN BERBAHASA INGGRIS MELALUI PEMANFAATAN SOFTWARE PEMBELAJARAN BAHASA BAGI ANGGOTA KARANG TARUNA RT 01 RW 27 KADIPIRO SURAKARTA

This community service was conducted for Karang Taruna, a youth organnization, at Perum Graha Kencana RT 01 RW 27 Kadipiro Surakarta. The focus was a training of using Rosetta Stone and Google Translation to improve English skills. The materials were delivered using three phases namely presentation, practise, and production. The training was beneficial for the participants specifically to improve their listening, speaking, reading, and writing skills as well as translation. Having adequate understanding of using Rosetta Stone and Google Translation, the participants were able to develop their English especially when completing school assignments.Keywords: Rosetta Stone, Google Translation
Sistem Pakar Diagnosa Penyakit Kulit Anjing Menggunakan Metode Case Based Reasoning dan Algoritma K-Nearest Neighbour

Abstract—Dogs are one of the favorite animals that are commonly maintained by humans. Like humans, dogs can also be affected by illness. One common illness suffered by dogs is skin disease. Dog skin diseases that are not immediately handled properly can worsened his condition and can pass it on to other animals even humans. To minimize the problem, we create an expert system to diagnose skin diseases in dogs. In order to support the process, the expert system uses Case Based Reasoning (CBR) method with the algorithm K-Nearest Neighbour (K-NN). The application of K-NN algorithm on CBR's knowledge-based system can provide quick and practical diagnostic results and provide the right advice to the sufferer to obtain alternative treatment information that suits the type of disease. The weight value of the CBR method gained from the classification between symptoms is heavy, moderate, and mild. The appearance of the weight value of each symptom of each disease in the case sample data will be used in the calculation process to obtain the result of a percentage of skin diseases in dogs. The results obtained from this research are the types of diseases suffered and the solution of the disease. Based on system testing of 12 disease data with 27 symptom data obtained at 100% accuracy.
STRATEGIES IN REDUCING AHMAD DAHLAN STUDENTS’ ANXIETY IN SPEAKING

The study aims to find out the strategies or ways of reducing student anxiety in speaking English. There are six selected students based on observation results to be interviewed. This research is done by a qualitative method with a descriptive approach. The results of this study show that following the English community, avoiding eye contact with friends or lecturers, confident, relaxing, and relaxed and often practicing for individual participants can reduce student anxiety in English speaking.
INFORMATION TECHNOLOGIES USING TO IMPROVE EVIDENTIARY ACTIVITIES IN THE JUVENILE JUSTICE

In the article raises the question of the expediency of the existence of military courts within the judicial system of the Russian Federation.The author analyzes the judicial burden on judges, their current status and the location of courts, which gives him grounds to argue about the possibility of abolishing military courts.
Upaya Meningkatkan Prestasi Belajar IPA melalui Pembelajaran Group Investigation di MTs Negeri 1 Bantul

This research aims to improve students' learning achievement in science learning through investigative group activities. This is motivated by the low learning outcomes of the "Calor and his transfer" material. Based on the daily return of 34 students, there are 24 students who have not been completed. The low learning achievement is caused by two factors, first, the student factors include low student input and low interest to the science lesson. Secondly, the teacher factor is still using conventional methods of learning. This research uses class action methods. Data analysis of quantitative and qualitative approaches. The results showed that there was an increase in science achievement ranging from the pre-cycle, from 10 students increased to 21 students on cycle 2. Group Investigation's learning methods were able to improve the VII-G student's study achievement by 61.7% significantly.
An assessment on the level of nutritional knowledge among undergraduate students in Edo state

This study investigated the level of nutritional knowledge among undergraduate students in Edo state. Ignorance of the nutritional value of food is widespread especially in the rapidly growing urban populations, undergraduate students are not left out. Ignorance of nutritional value lead to faulty food selection which can result to obesity, diabetes mellitus, hypertension and stroke latter of life. The sample size comprised of three hundred and ninety-seven (397) undergraduate students in Edo state. Random sampling technique was used in selecting the respondents for the study. Structured questionnaire was used for data collection. Data was analyzed using mean and standard deviation, while t- test was used to analyze the two (2) research questions of the study. Findings revealed that more than half of the respondents have medium level of nutritional knowledge while less than half of the respondents have high level of nutritional knowledge. Further results revealed that both male and female students had equal level of nutritional knowledge. Based on the findings, the researchers concluded that both male and female undergraduate student do not have equal level of nutritional knowledge. Also, most undergraduate students do not have adequate nutritional knowledge. The researchers recommended amongst others that the Government should enlighten the public regularly on good nutrition through media. Students should eat more of natural foods and avoid processed foods. In general, students should consume balanced diet to enable them achieve their academic goal.
Smart Bracelets for Remote Monitoring of Wearers' Physical and Affective State

Smart bracelets able to interpret the wearer's emotional state and communicate it to a remote decision-support facility will have broad applications in healthcare, elder care, the military, and other fields.While there are existing commercial embedded devices, such as the Apple Watch, that have health-monitoring sensors, such devices cannot sufficiently support a real-time health-monitoring system with battery-efficient remote data delivery.Ongoing R&D is developing solutions capable of monitoring multiple psycho-physiological signals.Possible hardware configurations include wrist-worn devices and sensors across an augmented reality headset (e.g., HoloLens 2).The device should carry an array of sensors of psycho-physiological signals, including a galvanic skin response sensor, motion sensor, skin temperature sensor, and a heart rate sensor.Output from these sensors can be intelligently fused to monitor the affective state and to determine specific trigger events for the wearer.To enable real-time remote monitoring applications, the device needs to be low-power to allow persistent monitoring while prolonging usage before recharging.For many applications, specialized sensor arrays are required, e.g. a galvanic skin response sensor.An application-flexible device would allow adding/removing sensors and would provide a choice of communication modules (e.g., Bluetooth 5.0 low-energy vs ZigBee).Appropriate configurations of the device would support applications in military health monitoring, drug-addiction mitigation, autistic trigger monitoring, and augmented reality exploration.A configuration example is: motion sensors (3-axis accelerometers, gyroscopes, and magnetometers to track steps, falls, and energy usage), a heart-rate sensor (e.g., an optical-based heart rate sensor with a single monitoring zone using the process of photoplethysmography (PPS)), at least a Bluetooth 5.0 (but a different communication device may be needed depending on the use case), and flash memory to temporarily store data when the device is not remotely communicating.The wearables field has greatly advanced in the quality of sensors; the fusion of multi-sensor data is the current frontier.
Automatic Engine Start-Stop and Automatic Headlight Dimming Modular System

The national mandate is being set forth by the Environmental Protection Agency or EPA to increase fuel efficiency of vehicles and thereby reducing emissions of greenhouse gases (GHG) by 5% each year for all new vehicles of various categories such as light heavy duty trucks, medium duty cars and mid-size cars.Usage of an automated start/stop (SS) technology in a passenger vehicle is an effective way to increase fuel efficiency in a cost effective way and it will also reduce emissions.In urban areas a vehicle spends most of its time in idle condition, this may be due to various reasons, one of the main reason is due to heavy traffic and this increases fuel consumption as well as air pollution.In such scenarios we can shut down the engine to save fuel and this will reduce pollution and the engine is restarted as the driver demands torque for acceleration.Most of the drivers use high beam light while driving at night and this can cause discomfort to people travelling in the opposite direction.This can even cause partial blindness to people on the opposite side.With the stop/start system activated the engine is automatically turned off and goes to standby mode when the vehicle is brought to a stop at traffic lights, stop signs and in traffic jams.The system uses sensors to monitor the vehicle motion, power requirement etc.With an ultrasonic sensor the vehicle distance and speed is calculated and by using a photo sensor or camera whether head light or tail light of a car can be distinguished.
An Adaptive Utilization of Convolutional Matrix Methods on Sliced Hippocampal Neuron Cell Segmentation with an Application Interface

Current methods of image analysis and segmentation on hippocampal neuron bodies contain excess and unwanted information like unnecessary noise.In order to clearly analyze each neural stain like DAPI, Cy5, TRITC, FITC and start the segmentation process, it is pertinent to preemptively denoise the data and create masked regions that accurately capture the ROI in these hippocampal regions.Unlike traditional edge detection algorithms like the Canny methods available in OpenCv libraries, we employed a more targeted approach based on pixel color intensities to segment out hippocampal neurons from the background.Using the R, G, and B value thresholds, our algorithm checks if a cell is a boundary point by doing neighboring pixel level comparisons.Combined with a seamless GUI interface for cropping the highlighted ROI, the algorithms efficiently work at creating general outlines of neuron bodies.With user modularity from the various thresholding values, the outlining and denoising presents clean data ready for analysis with object detection algorithms like FRCNN and YOLOv3.
Overview of Image Processing and Various Compression Schemes

Image processing is key research among researchers. Compression of images are required when need of transmission or storage of images. Demand of multimedia growth, contributes to insufficient bandwidth of network and memory storage device. Advance imaging requires capacity of extensive amounts of digitized information. Therefore data compression is more required for reducing data redundancy to save more hardware space and transmission bandwidth. Various techniques are given for image compression. Some of which are discussed in this paper.
EasySketchDesign: Product Sketch Design Assisted with Interactive Sketch Retrieval

We present EasySketchDesign, a sketch interface that integrates the sketch retrieval technique to search pictures related to current design form the image library quickly and exactly. The sketch drawn by the designer and the referential product data set are first transformed into a clear outline by means of edge detection, image dilation, etc. Then, the improved Recursive Cortical Network (RCN) is used to select the existing products similar to the sketch. Through such a design mode, the designer can be inspired by other people's work. Besides, they can know whether their work has the risk of being the same as the existing product to guarantee innovation. The evaluation study shows this system is easy to use and effective in transcending the creative potential of traditional sketching in Product conceptual design.
Cooperative thought in Bulgaria in the first half of the 20th century. The place and role of M.I. Tugan-Baranovsky

Cooperative ideas and institutions started their rapid development and dissemination in the Balkans, and in particular in Bulgaria in the early 20 th century.They evolved as a result of favourable political, economic, and cultural conditions and specificities, as well as the transfer of ideas and practices from Western Europe and the Russian Empire.Cooperatives played an important role in the socioeconomic advance, and cooperative ideas became an integral part of the Bulgarian and Balkan economic thought.Today, more than three decades after the fall of communism (1989), the cooperative sector continues to be underdeveloped and has a minor role in the Bulgarian economy.This could be explained primarily by the communist legacy, as well as the lack of sufficient knowledge and contemporary research on the history, ideas and principles of cooperatives and the cooperative movement.At the same time, there has been a growing interest in the cooperatives in many countries in Europe and worldwide.Cooperatives have been regarded as an alternative to the state and the market mechanisms in the economy.Meanwhile, the Bulgarian cooperative tradition and literature remain unknown in Europe.In this regard, this paper aims to reveal to the Ukrainian audience the major cooperative ideas in the country during the first half of the 20th century and to discuss the influence of one of the greatest cooperative theorists -Mykhailo Tugan-Baranovsky on the Bulgarian scholars of that time.I also make a brief bibliographical review of Tugan-Baranovsky's worksCooperative thought in Bulgaria In the first half of the 20th… 35 translated into Bulgarian.In the first part of the paper, I focus on the emergence and evolution of the cooperative ideas in Bulgaria in the first half of the 20th century.The second part is dedicated to the place and role of Tugan-Baranovsky in the development of the Bulgarian cooperative thought and literature.
Simulation of Resources for Quantum Algorithms and Quantum Communication Protocols based on a Novel Framework

Recently, Samsung Electronic just released a new type of mobile phone model named Galaxy A71 where the quantum RNG chip is boasted inside for advanced security by capable of generating truly random and unpredictable numbers.It is no doubt that the quantum mechanism-based communication protocols or quantum information technologies are gradually changing the world with its advantages.It promises the new information generation where quantum-based computer can be seen in many living fields.Since the quantum algorithms and quantum communication protocols need to be verified before applying on chip set system, or hardware systems, the verification frameworks need to be done.In this discussion, we first propose a novel framework by MATLAB emulators.Then, we analysis the quantum resources or quantum basic elements such as quantum entanglements, quantum super positions state, quantum Fourier transformation, and quantum Arithmetic in proposed novel framework.The open problems to consider quantum algorithms based on proposed framework is discussed.
PECULIARITIES OF THE MOTIVATIONAL SPHERE OF STUDENTS OF A PEDAGOGICAL UNIVERSITY AND COLLEGE

This article discusses in detail the results of a psychological study of motivational characteristics of students receiving secondary special and higher pedagogical education. The purpose of the empirical study was to determine the motivational relevance of the future profession of students-teachers. The authors test the assumption that students studying at teachertraining colleges and universities have similar motives for choosing a place of study. The study shows that students-teachers who receive secondary special and higher education, when choosing the profile of further education, were guided by external motivators that are not related to educational activities, such as: advice from parents, advice from friends, proximity to the place of residence, a wide range of communication, etc. The main conclusion of the work was the conclusion that students-teachers studying both in colleges and universities, only partially correspond to the chosen profession, both of them do not have an internal motivation to receive pedagogical education, there is no desire to work in the future in the specialty