Reviewerly/exHarmony huggingface dataset:
Pengaruh Motivasi Belajar dan Lingkungan Teman Sebaya terhadap Hasil Belajar Siswa pada Mata Pelajaran Ekonomi

This type of research is descriptive associative. The population in this study were all 96 students majoring in social studies at SMA Negeri 1 Lengayang. Sampling technique with a total sampling with a sample of 96 people. Data analysis techniques: descriptive analysis and inductive analysis of multiple analysis requirements test, namely: normality test, homogeneity test and multicollinearity test. This study aims to analyze the effect of learning motivation on student learning outcomes in the economics subject of class XI IPS SMA Negeri 1 Lengayang, the influence of peer environment on economic learning outcomes economics subjects in class XI IPS SMA Negeri 1 Lengayang, and the influence of learning motivation and the environment. peers on Student Learning Outcomes in Economics Subject Class XI IPS SMA Negeri 1 Lengayang. The results showed that (1) there was a positive and significant influence between learning motivation on economic learning outcomes for students of class XI IPS SMA Negeri 1 Lengayang, (2) there was a positive and significant influence between peer environment on student learning outcomes. on the Economics subject of class XI IPS SMA Negeri 1 Lengayang, (3) there is a positive and significant influence between learning motivation and peer environment on student learning outcomes in the subject of Economics class XI IPS SMA Negeri 1 Lengayang
A State of the Art About Instrumentation and Control Systems from Body Motion for Electric-Powered Wheelchairs

Instrumentation and control for automatic wheelchairs have diversified with technological developments that include non-invasive built-in sensors to capture body signals. The use of micro-electromechanical sensors (MEMS), tilt sensors, electroencephalographic signals (EEG), electromyographic signals (EMG) and cameras to detect movements of the head and hands have been included in the instrumentation of controllers to operate wheelchairs with the aim of improving the mobility of people with disabilities in lower or upper limbs, or in both regions. The goal of this work is to conduct a detailed review of articles about instrumentation and controllers based on body motion capture for automatic wheelchairs. The articles found develop different types of instrumentation for the safety of the user. Due to the inclusion and exclusion criteria, 30 articles that were published between 2003 and 2019 were analyzed. The controllers that implement head motion capture as well as their electronic instrumentation were given special attention in order to realize future developments. The designs that appeared in some articles demonstrated limitations due to specific user or location requirements, as well as offering solutions to these constraints. In conclusion, the controllers that receive information about body motion are useful for people with the aforementioned disabilities, resulting in greater independence and dexterity in the mobility of the wheelchair.
Study of Origin, Geology and Geochemical Classification of the Granitoids of Imori Area, North Central Nigeria

Two distinct generationsof granitiods in terms of space and time were identified in the Imori fields of north central Nigeria. The first generation is the Older Pan-Africa calc-alkaline granite suites(OPACG)which comprises the migmatite-gneiss and the porphyritic hornblende-biotite granite.The second group is the Younger Mesozoic alkali granite suites (YMAG).This comprises the rhyolite, biotite granite and arfvedsonite granite. The OPACGsuites are characterized by depletion in SiO2ranging from 63.30 wt % -68.38 wt % as compared to the YMAGsuites which range from 70.41 wt % -79.14 wt %. In addition, the OPACGsuites are characterized by higher concentrations of MgO, fe2O3, Al2O3, TiO2, CaO and Sr as compared to the YMAGsuites. The YMAGsuites are characterized by an excess of total alkaloids (Na2O +K2O), Cr, Nb, W, Ta, and lower concentrations of ferromagnesian minerals. These characteristic indicates that the OPACGsuites are generated from deep seated crustal levels rocks with the possibility of mantle materials. The YMAGsuites were originated from partial melting of crustal sialic materials. Both thetrace element patterns of the OPACG suites and the YMAGsuites indicate that each suiteis co-magmatic.
A Novel Approach to Solving Goal-Achieving Problems for Board Games

Goal-achieving problems are puzzles that set up a specific situation with a clear objective. An example that is well-studied is the category of life-and-death (L&amp;D) problems for Go, which helps players hone their skill of identifying region safety. Many previous methods like lambda search try null moves first, then derive so-called relevance zones (RZs), outside of which the opponent does not need to search. This paper first proposes a novel RZ-based approach, called the RZ-Based Search (RZS), to solving L&amp;D problems for Go. RZS tries moves before determining whether they are null moves post-hoc. This means we do not need to rely on null move heuristics, resulting in a more elegant algorithm, so that it can also be seamlessly incorporated into AlphaZero's super-human level play in our solver. To repurpose AlphaZero for solving, we also propose a new training method called Faster to Life (FTL), which modifies AlphaZero to entice it to win more quickly. We use RZS and FTL to solve L&amp;D problems on Go, namely solving 68 among 106 problems from a professional L&amp;D book while a previous state-of-the-art program TSUMEGO-EXPLORER solves 11 only. Finally, we discuss that the approach is generic in the sense that RZS is applicable to solving many other goal-achieving problems for board games.
An object detection method for aerial hazy images

Image processing and object detection in aerial images have to deal with a lot of trouble due to the existence of haze, smoke, dust in the atmosphere. These factors can blur objects and severely decline image quality which might lead to incorrect or missing object detection. To solve this problem, this study shows a method that can reduce the bad effect of haze on object detection in aerial images. A combination of a dehazing method called Feature Fusion Attention Network (FFA-Net) and an object detection method named Probabilistic Anchor Assignment (PAA) was conducted to evaluate two hypotheses: (1) haze was a noisy factor and (2) haze was treated as part of objects. Through extensive experiments, the selective dehazing hypothesis, which was used for truck objects, improved the detection result of car and bus from 19.6% to 21.9% and 0.7% to 4.4%, respectively, on the UAVDT-Benchmark-M dataset. This result showed that our approach was effective.
Efficient high-dynamic-range depth map processing with reduced precision neural net accelerator

Depth sensing technology has become important in a number of consumer, robotics, and automated driving applications.However, the depth maps generated by such technologies today still suffer from limited resolution, sparse measurements, and noise, and require significant post-processing.Deep convolutional neural nets can be used to perform denoising, interpolation and completion of depth maps.Depth map data often has higher dynamic range than common 8-bit image data and may be represented as 16-bit values; however, in practical applications there is a need to enable efficient low-power deep net inference with 8-bit precision.In this paper, we explore methods to process high-dynamic-range depth data using neural net inference engines with 8-bit precision.We propose a simple technique that attempts to retain signal-to-noise ratio in the post-processed data and can be applied in combination with most convolutional network models.Our initial results using depth data from a consumer camera device show promise, achieving inference results with 8-bit precision that have similar quality to floating-point processing.Often, the data captured by depth sensing technologies needs to be represented with 10-, 12-, or 16-bits per sample, due to its
Malaria and Associated Risk Factors in Awka, Awka South Local Government Area, Anambra State, Nigeria

Malaria is still a major contributor to high rate of the global infectious disease–related mortality and morbidity due to its marked effects and alteration on the haematological parameters of infected individuals. This study was conducted to determine the following: prevalence and intensity of malaria, the associated risk factors of in Awka metropolis from January to June 2021. A total of 1060 subjects were enrolled int the study. Prevalence of malaria parasites was determined using thick and thin films. A total 925 individuals were infected with malaria parasite giving a prevalence of 87.3%. Of the 925 individuals infected, 743(80.3%) had mild infection, 150 (16.2%) moderate infection. The study showed that more males (94.2%) were infected with the malaria parasite than females (80.6%). The highest prevalence of malaria (94.3%) occurred among those less than ten years old while the least prevalence (72.2%) was recorded among those more than sixty years old. The prevalence of malaria in relation to age was statistically significant (p&lt;0.05). In relation to occupation, farmers recorded the highest prevalence of malaria (94.7%) while civil servants had the least prevalence (65.4%). Based on literacy level, the highest prevalence of malaria was recorded among those with primary education (96.8%) while those with tertiary education had the least prevalence (84.3%). On marital status, married ones had the highest prevalence of malaria (91.9%) while the singles had the least prevalence (80.1%). The high prevalence of malaria in Awka calls for intensive education and free supply of insecticide treated nets.
The convergence of intuitionistic fuzzy sets

In the present paper, we first introduce a new intuitionistic fuzzy distance. Relationships between three kinds of convergences compared to this distance are studied in this paper. We will give necessary and sufficient conditions to have a convergence equivalence for these four metrics.
Pelatihan dan Pendampingan Implementasi Aplikasi Kepegawaian Pada SMA PGRI Pagaralam Berbasis Web

The current use of the system at SMA PGRI Pagaralam uses excel and word applications. This is still felt to be ineffective because there is no system that supports these problems. Mentoring training for making personnel applications conducted at SMA PGRI Pagaralam aims to help manage employee data so that it is more effective. Software development is carried out using software engineering rules (software engineering). In software engineering theory there are several kinds of software development process models. This research uses the waterfall model. The water fall model or what is often called the Classic life cycle model shows software development sequentially and systematically. So that the results of the web-based PGRI Pagar Alam high school personnel application include a login system, type of PTK, subjects, leave letters, years of service and subject teachers.
Teacher Questioning Strategies to Promote Students Engagement in EFL Classroom in Islamic Boarding Schools

Teachers’ Questioning Strategies to Promote Students’ Engagement in EFL Classroom: The case of Islamic Boarding Schools in Aceh. Objective: The present study aims to investigate the use of questioning strategies during classroom interaction. Methods: There were N=106 students, Aged 14-16 years as students at Islamic boarding schools in Aceh, and English teachers (N=5) participated in this study selected through purposive sampling, documentation, observation, and interview are triangulation of instruments. The data were analyzed by using the descriptive qualitative form by Marzano’s Observational Protocol Sheet (2013). Findings: The findings revealed that teacher mostly employs questioning strategies to check the students’ knowledge and comprehension in the learning process by using many kinds of questions. Furthermore, when it happened to come to promoting children’s critical thinking, this strategy were ineffective because the questions were yes/no questions. Conclusion: it explicitly means that this strategy is effective and beneficial way to the students and teacher in the classroom interaction at school. Keywords: questioning strategies, Islamic boarding school, classroom interaction. Abstrak: Strategi Guru Bertanya Untuk Meningkatkan Keterlibatan Siswa Dalam Kelas Bahasa Inggris di Pesantren Aceh. Tujuan: Penelitian ini bertujuan untuk menyelidiki penggunaan strategi bertanya selama interaksi kelas. Metode: Terdapat N=106 santri berusia 14-16 tahun yang merupakan siswa Pesantren di Aceh dan guru Bahasa Inggris (N=5) berpartisipasi dalam penelitian ini dipilih melalui “purposive sampling”. Data diperoleh dengan menggunakan dokumentasi, observasi dan wawancara . Data dianalisis menggunakan deskriptif kualitatif dengan mengadopsi teori Lembar Protokol Observasi Marzano (2013). Temuan: Hasil penelitian mengungkapkan bahwa sebagian besar guru menggunakan strategi bertanya untuk menguji pengetahuan dan pemahaman siswa dalam pembelajaran. Selanjutnya, dalam upaya meningkatkan kemampuan berkritis anak, strategi ini tidak efektif karena berupa pertanyaan ya/tidak. Kesimpulan: Secara eksplisit, strategi ini dapat menjadi teknik yang bermanfaat bagi siswa dan guru dalam interaksi kelas. Kata kunci: strategi bertanya, pesantren, interaksi kelas. DOI: http://dx.doi.org/10.23960/jpp.v12.i1.202207
BanInvestigation of Network Language From the Perspective of the Cooperative Principle

In this age of globalization, a brand new language mode -- network language was born aims to satisfy the effective &#x0D; communication among people of different regions. It has neither independent phonetic system nor complete set of grammar system &#x0D; and belongs to the nature of social dialect. This paper describes a detailed study of this new language from the perspective of &#x0D; cooperation principle, and indicate the violation of cooperation principle by network language using case analysis, so that people &#x0D; can better understand and use network language. Therefore, only through in-depth studies of the pragmatic principles guiding the &#x0D; use of Chinese network language, can we have a profound understanding of its essence and lay a good foundation for successful &#x0D; online communication.
Aspect-based sentiment analysis on current state of the market by classifying customer product reviews using support vector machine with several kernel learning

Aspect-based Sentiment Analysis identifies a customer's feelings about a given product feature. Aspect-based analysis is often used in product analytics to keep track of how a product is regarded by customers and what its strengths and weaknesses are. Product analytics is a subset of the classification problem. The Support Vector Machine (SVM) is a technology that can effectively tackle classification problems. In fact, SVM is a linear classifier, which implies it can only be used to classify data that is linearly separable. This approach should be enhanced with kernel learning to categorize non-linear separable data. This suggested system would create a classification model based on the Support Vector Machine, which will be updated with multiple kernel learning techniques and applied to a market data set for analytics. Sentiment Analysis examines a product's perception and market comprehension via the prism of sentiment data. To study customers, the proposed aspect-based sentiment analysis includes three levels of content analysis and four categories of opinions on a market data set.
Information Needs and Information Support Services of Women Entrepreneurs in Telangana State

Entrepreneurship plays an essential role in stimulating the economic growth and generating employment opportunities. Information is required to establish and eff ective running of an enterprise. The present study was aimed at fi nd out information needs and information support services among women entrepreneurs. The study was conducted in three districts of Telangana state i.e Adilabad, Sangareddy and Rangareddy districts. A total of 180 respondents constituted the sample of the study. Data was collected through structured schedule and scale. The results found that most of the women entrepreneurs need technical information need and managerial information needs. The results also revealed that majority (54.44%) of the respondents had medium level information support services followed by low (23.89%) and high (21.67%) level information support services. Correlation analysis of information support services with independent variables revealed that education, annual income, socio-economic status, extension support, information seeking behaviour, mass media contact and ICT usage showed a positive signifi cant relationship.
IMPROVING READING COMPREHENSION OF THE FOURTH-SEMESTER ENGLISH STUDENTS OF MAYJEN SUNGKONO UNIVERSITY USING RECIPROCAL TEACHING

The method adopted in this study was classroom action research. The procedure and implementation process performed one cycle of four actions. After four actions have been performed, mutual education can improve students' reading comprehension in three stages. They are: (1) Look-ahead activities focus on activating students' prior knowledge. (2) Reading activities focus on the implementation of mutual education. (3) Post-reading activities focus on reaffirming students' understanding of the text. The final activity is managing quizzes. Students take individual tests without the help of other students or teachers. As a result of the test, the average student score was 73.75 and the lowest student score was 50. Finally, we could conclude that mutual instruction was able to improve students' reading comprehension. In addition, the students are more motivated and active to learn with the method. They learn to work together in a group with different abilities and to help each other.
A Pragmatic Analysis on Vague Language Used in Disaster News Articles on Thejakartapost.com

This paper presents the findings analysis of categories and functions on vague language used in disaster news articles on Thejakartapost.com based on the theory of Channell (1994). In the journalism context, especially in disaster news article, the information often contains vague language that has imprecise statement since it is harmful. Therefore, to avoid wrong statements, the reporters often use vague language in presenting information accurately. The study employed a qualitative descriptive method. All data were 24 news articles. There were 12 news articles of natural disasters and 12 news articles of human-caused disasters. The period was from April 2018 until March 2019. The findings of this study showed that there were three categories of vague language, namely vague additives to numbers that were realized by approximators and adjectives. The others were vagueness of choice of vague words that were realized by nouns, and vagueness by scalar implicatures that were realized by quantifiers, numbers, and exaggerations. In addition, they also have its functions of vague language. Firstly, giving the right amount of information, it is used since the reporters just shared the right number of information although the exact number was not available. Secondly, filling in lexical gaps of uncertainty, it is used since the reporters wanted to cover the imprecise information with another word, and generalized word that was difficult to identify. Last but not least, self-protection. It is used since the reporters wanted to protect and hedge their statements from imprecise information.Keywords: Vague Language, Categories, News Articles, Disasters, implicature
Expletive ta in Mandarin Chinese: A Quantitative Study

Expletive pronouns have posed significant challenges to both linguistic studies and natural language processing in Chinese. Based on the data from the Chinese corpus at the Center for Chinese Linguistics of Peking University (CCL), this paper investigates the automatic dependency parsing errors of expletive ta (“it/he”) and relative constructions and provides a detailed quantitative analysis of the characteristics of the constructions in question. The findings not only provide evidence to show that even in radical pro-drop languages such as Mandarin, pleonastics can occur in both object and subject positions but also offer important insights for Chinese natural language processing.
DRDN: A Method for Low-Resolution Medical Image Denoising

In medical imaging, medical imaging inevitably generates noise due to uncontrollable factors such as principles, technical restrictions and biological environments. Even in some scenes, high-resolution images cannot be obtained, and only low-resolution images with much noise can be obtained. This results in unsatisfactory results of existing denoising algorithms. Therefore, improving the SNR of low-resolution medical images has become the key to solving the problem. In this paper, we propose the application of RDN to solve the problem of low-resolution denoising. The network is more efficient and more conducive to image detail restoration through training. Then, we evaluate our model and the classical CNN model on the public data set, and the experimental results show that the new DRDN can realize the denoising of low-resolution noise images at the noise level of 10. In the tests of 20 and 50, the PSNR is 40.21, 35.55, 31.08, and SSIM is 0.96, 0.93 and 0.83, respectively, which were superior to other classical models.
Literation Movement in Village Library to Improve the Economy of Puro Village Communities

The village library is not only a center of information for people in the village.From the information sources available in the village library, it can be a source of innovation for the community if the community of reads and practices the contents of the information source.Village libraries can provide training services to the community to generate product innovations by teaching users to read books, after which they practice from what is in the book.This research focuses on library involvement in community empowerment through the use of information sources in the library.One of the village libraries that has a program of activities related to improving community welfare and improving the economy through literacy is the Puro village library in Sragen Regency.The literacy program at the Puro village library is called Buku Menjadi Karya (BUJAYA).The method used is qualitative with a case study approach.The case study approach is used to find out how the Puro Village library carries out BUJAYA activities.The results of this study describe the function of the village library as a learning center for the community.Through the BUJAYA program, the community gets new knowledge and innovation in developing businesses.This means that the village library can help grow new entrepreneurs.
Cikkismertetés: Az alacsony jövedelmű csoportok táplálkozásának hátterében álló rejtett tényezők

Obesity inequalities are partly due to differences in dietary intake between socio-economic groups. The researchers' aim was to develop and apply novel causal loop mapping methods to produce an evidence-based map of the system of environmental factors that drive the diets of low-income groups. &nbsp; &nbsp; &nbsp; &nbsp
SMART BADGES FOR KIDS TO ALERT MEDICINE SCHEDULE

Worldwide kids are not able to concentrate on taking medicines on time because of their playfulness and busy on their studies. This paper introduce an Internet of Things based system to send alert to the kids to take medicine on time. The system displays the correct medicine and the quantity to be taken based on the prescription given by the doctor. It checks the child’s health after taking the medicine every time. A message will be sent to the parent mobile after consuming the medicine. It includes the amount of medicine taken and the time of consumption. If any allergy or drastic changes appear in the body, the smart badge sends the message to the parent mobile immediately. The common illness that is taken for consideration is fever, flu, asthma, headache, and cough. Patient data is protected through Blockchain technology