Reviewerly/exHarmony huggingface dataset:
Monte-Carlo Convolutions on Foveated Images

Foveated vision captures a visual scene at space-variant resolution.This makes the application of parameterized convolutions to foveated images difficult as they do not have a dense-grid representation in cartesian space.Log-polar space is frequently used to create a dense grid representation of foveated images, however this image representation may not be appropriate for all applications.In this paper we rephrase the convolution operation as the Monte-Carlo estimation of the filter response of the foveated image and a continuous filter kernel, an idea that has seen frequent use for deep learning on point clouds.We subsume our convolution operation into a simple CNN architecture that processes foveated images in cartesian space.We evaluate our system in the context of image classification and show that our approach significantly outperforms an equivalent CNN processing a foveated image in log-polar space.
ARE FOREIGN AID AND ECONOMIC GROWTH POSITIVELY RELATED? EMPIRICAL EVIDENCE FROM BANGLADESH

As an emerging country, the progress of Bangladesh is highly promising. Foreign aid may be one of the key players fueling such advancement. The note is an attempt to examine the effect of foreign aid on the economic growth of Bangladesh. With a view to fulfill our objective, the study employs annual time series data during the period of 1971 to 2019. It has used some econometric tools i.e., Unit Root Tests and OLS Methods to process the collected data. The dependent variable is Gross Domestic Product (GDP) while other independent variables i.e., Foreign Aid (ODA), Gross Capital Formation (GCF), Population (POP), and Education (EDU). The test results confirmed that GDP growth is positively related to foreign aid, gross capital formation, and education, but negatively related to population. In Bangladesh, if foreign aid increases by 1% then the GDP growth, gross capital formation, and education rate will accelerate to 0.1988%, 0.6015%, and 0.0652% respectively. So it is evident that foreign aid plays a propitious role to progress the economic growth of Bangladesh. It is a crying need to swell up effectiveness, transparency, proper accountability in allocation, and stronger management of aid inflows to speed up economic growth.
The role of independent education in teaching physics

In this article, the student's independent work is considered, which is an integral part of the curriculum. Specific work plans and research, for the study of a certain subject. The organization of independent work of a student at the initial stage of training involves the performance of a number of tasks. Therefore, every professor - teacher should first of all instill confidence in the student. To feel your approach and methods in solving a particular scientific problem. Steadfastness and confidence in their abilities and mental abilities. Teach them to patiently, systematically organize the acquisition of independent knowledge. The article analyzes the essence, goals and objectives of independent education, as well as the role of independent education in improving the quality of education.
Issues and Challenges of Applying E-Learning: The Case of One State Islamic University

Indonesia is now overwhelmed with the issues and challenges in utilizing e-learning in many state Islamic universities. Moreover, this situation became worst when the COVID-19 influenced the teaching and learning process exponentially. This mixed methods study aimed to explore primary issues and challenges of using e-learning faced by one Indonesian state Islamic university in South Sumatra Province, Indonesia, and the solutions to overcome those hindrances. Three primary participants included students, academic staff, and faculty boards contributed to this study. The data obtained from closed and open-ended questionnaires and interviews were analyzed by using a thematic analysis. The findings revealed five primary issues and challenges of using e-learning such as infrastructure, digital content, individual constraints, technical support, and financial support.
Efektivitas Jenis Bahan Masker Kain Berdasarkan Kemampuan Penyaringan Mikroba

A cloth mask is a mask that can be used repeatedly and is made of thicker fabric material. Cloth masks circulating in the community have not guaranteed quality. This study aims to find out the effectiveness of fabric mask materials based on microbial filtration capabilities as well as find out the optimal characteristics of the initial use of cloth mask materials and after washing 50 times. This study was conducted experimentally where the effectiveness of fabric mask material by spraying bacterial suspension, and testing the characteristics of fabric mask materials by conducting fiber observation, light intensity test, steam filtration test, water absorption test and water capillary on the fabric. The results of research on the effectiveness of fabric mask materials showed Asymp.Sig &gt;0.05 so that there are significant differences from all types of fabric mask materials. Based on the results of characteristic testing, the fiber material of the initial cloth mask looks better than after 50 washes. Test the light intensity of the outer layer, inner layer, and filter layers p, f and s after washing there is an increase compared to the initial use. Steam filtration tests of outer layers, inner layers and filter layers p, f and s when the initial user takes time for steam to penetrate the fabric compared to 50 washes. The absorption test of the outer layer during initial use does not occur absorption above 60 seconds and after 50 washes begins absorption. The inner layer and filter layer at the initial use do not absorb above 60 seconds and after 50 washes there is absorption under 60 seconds. The p filter layer does not absorb during initial use and after 50 washes. Filter layer f during initial use and after 50 washes there is absorption under 60 seconds. Capillary test results for 60 seconds the outer layer and the p filter layer during initial use do not absorb while 50 times the washing occurs absorption. The inner layer, filter layer f and s increase after 50 washes. The conclusion of the study was that the effectiveness of the mask material was good enough for the inner and outer layers, the p filter layer was more effective than the f and s filter layers. The characteristic test results at initial use were very good, but after 50 washes there was a decrease.
Weather Forecasting at BMKG Office Lumajang City Using Markov Chain Method

Weather forecasting is one of the important factors in everyday life, because it can affect the activities carried out by the community.Weather forecasting refers to a series of activities carried out to produce a set of information about weather conditions.One method that can be used to model these uncertain conditions is the Markov chain.The Markov chain is a random process in which all information about the future is contained in the present state.In this study the authors use daily weather data that occurs on December 22-28 2020.
Time Series Search Based on Locality Sensitive Hashing

The application of similarity search in large-scale data of time series is very common. It is also the main subroutine of the time series data mining algorithm. The representation of time series and complex similarity measures are the basis of time series similarity research and play a vital role in completing the task of time series similarity search. Therefore, the efficiency of time series similarity research is a serious obstacle to the development of time series mining algorithms. The traditional branch and bound method can prune the candidate set before the similarity search to achieve acceleration, but this method is only effective for low-dimensional time series. When the dimensionality of the data increases, the complexity of the algorithm increases exponentially. The performance of the algorithm will drop sharply, which is similar to a brute force algorithm in the end. In this work, we introduce a novel algorithm LSH (Locality Sensitive Hashing) for similarity search of time series subsequences. Our results show that it is effective and concise to quickly approximate longer time series, and improves the search efficiency.
A Mathematical Approach Towards Random Road Profile Generation Based on Chaotic Signals of Chua's Circuit

In response to application demands in vehicle dynamics and control, traffic engineering, urban planning, and logistics, the generation of an adequate artificial road profile in terms of the diversity of geometric scenarios has been addressed in the current manuscript. The underlying mathematical principles for generating a geometrically comprehensive, yet logically meaningful, 3D road profile have been taken from high and unbiased sweeping factors of random number sequences over their domain of interest. And to generate such random number sequences, the mathematically manipulated output signal of a well-established chaotic system has been utilized, namely that of the Chua's circuit. Having defined the target road profile mathematically with all its geometrical complexities, a suitable scheme derived from the mentioned chaotic signal has been used to generate the required random number sequences as defining parameters of the road profile. The scheme has been otherwise tested and proven to show the demanded level of randomness in literature. Several attempts have been made to create a diverse range of road profiles, considering the constraints imposed by vehicle dynamics. To generate the road geometries, the limitations imposed by the vehicle's motion, such as the limitations on corresponding curvatures, slopes, and banking angles are negotiated, in terms of vehicle dynamics and available tire-road friction forces, by evaluating how close a vehicle will be to its tire force capacity limits as it travels on sections of the generated road.
Computational Neuroscience

A summary is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Cognitive Hubs and Spatial Redistribution

In the U.S., cognitive non-routine (CNR) occupations associated with higher wages are disproportionately represented in larger cities.To study the allocation of workers across cities, we propose and quantify a spatial equilibrium model with multiple industries that employ CNR and alternative (non-CNR) occupations.Productivity is city-industry-occupation specific and partly determined by externalities across local workers.We estimate that the productivity of CNR workers in a city depends significantly on both its share of CNR workers and total employment.Together with heterogeneous preferences for locations, these externalities imply equilibrium allocations that are not efficient.An optimal policy that benefits workers equally across occupations incentivizes the formation of cognitive hubs, leading to larger fractions of CNR workers in some of today's largest cities.At the same time, these cities become smaller to mitigate congestion effects while cities that are initially small increase in size.Large and small cities end up expanding industries in which they already concentrate, while medium-size cities tend to diversify across industries.The optimal allocation thus features transfers to non-CNR workers who move from large to small cities consistent with the implied change in the industrial composition landscape.Finally, we show that the optimal policy reinforces equilibrium trends observed since 1980.However, these trends were in part driven by low growth in real-estate productivity in CNR-abundant cities that reduced welfare.
Machine Learning Applied to the Early Diagnosis of Leukemia Using Biomarkers

Leukemia is a rare and lethal blood cancer. One of the factors that increase the patient's chances of better treatment results is early diagnosis. The best attempting to discover the leukemia usually is the image analysis exams but this is costly and sometimes its late. Thus, this paper uses attributes of a complete blood count as input to Machine Learning algorithms to predict earlier and cheaper diagnoses of Leukemia. In this paper, we collected real exam results and developed a synthetic dataset with 1000 examples based on the distribution and limits of each attribute to classify a patient in positive or negative for Leukemia. We tested four different classifiers (Logistic Regression, Random Forest, XGBoost and SVM) to predict sample classes. We show that it is possible with an accuracy of 96\% to predict if a patient is likely to have Leukemia based on its blood count.
PENINGKATAN KETERAMPILAN MENULIS KREATIF BERMUATAN PENDIDIKAN BUDI PEKERTI PADA GURU-GURU SEKOLAH DASAR MELALUI HYBRID LEARNING

This service activity aims to improve creative writing skills with character education for elementary school teachers through face-to-face and virtual training. The participatory method was used in this training to stimulate teachers to be active in practicing poetry writing both in theory and practice. Face-to-face meetings were held twice for theoretical training, while virtual meetings were held for practical training in writing poetry and presenting it. Based on the results of scoring the ability to write poetry in the posttest session, the classical ability in writing poetry was 84.90%, where at the pretest stage it was 70.79%. The results show that poetry writing training containing character education through a mixed face-to-face and virtual method (Hybrid Learning) is able to improve the ability of elementary school teachers in writing creative poetry types. The improvement in the poetry writing skills of the participants was seen in all aspects of writing poetry, including themes and meanings, the power of imagination, accuracy of diction, and the message.
Parenthesis Notation

The formal language of a logical system usually contains several types of symbols. In infix notation, two different kinds of symbols are used to construct compound formula and to indicate the order of combination. The logical constants such as Ø, Ú are used to construct compound formula, and auxiliary symbols such as ( ) are used to indicate the order of a combination. In Polish notation, there is no need for auxiliary symbols such as ( ), and only one class of symbols, N, C, K, etc., is used as a conjunction to make it function as a parenthesis. Contrary to Polish notation, a new parenthesis notation is put forward in this paper. Parenthesis notation uses only parentheses, and empowers them the function of connectives. More importantly, it is proved in this paper that we can define logical constants such as propositional connectives, quantifiers, modal operators and temporal operators in the same formula by using only parenthesis, which can greatly simplify the initial connectives needed to construct the formal system.
A comparative study on the effect of online verses offline teaching on burnout among the teaching fraternity

Burnout is a topic which is frequently being used among the employees in the present generation.A term which was unheard earlier has now become a part and parcel of the workforce.People now and then keep on saying I feel burnt out.Due to the increasing number of cases of burnout, the research paper is related to finding the level of burnout in the respondents.As we now have blended mode of education, this is a comparative study on the level of burnout with reference to online and offline classes among the teaching fraternity.For this study the researcher has made use of the questionnaire developed by Christina Maslach on burnout.This questionnaire consists of 15 questions where the respondents have to mark their preferences based on the five alternatives.The sample consists of 50 educationalists from various institutes.The Hypothesis framed by the researcher is that the level of burnout will be greater during online classes when compared to offline classes.
Penggunaan Model Pembelajaran Snowball Throwing untuk Meningkatkan Hasil Belajar Peserta Didik pada Pembelajaran Matematika Kelas VI SDN 99/X Sidomukti Semester Ganjil Tahun Ajaran 2021/2022

The purpose of this study was to obtain information and discuss the use of the Snowball Throwing learning model to improve student learning outcomes in class VI mathematics learning at SDN 99/X Sidomukti in the odd semester of the 2021/2022 academic year. This type of research is classroom action research which consists of two cycles with each cycle consisting of four stages, namely planning, implementation, observation and reflection. This research was conducted at VI SDN 99/X Sidomukti in the odd semester of the 2021/2022 academic year with the research subjects being students of class VI SDN 99/X Sidomukti, totaling 20 students. Data collection techniques using tests, field notes, interviews, and documentation. Data were analyzed using percentages and data reduction. The results showed that the Snowball Throwing learning model could improve the mathematics learning outcomes of the sixth’s grade students of SDN 99/X Sidomukti, marked by the improvement obtained from cycle I to cycle II.
Building Attendance Application with Location Based Service Technology and Waterfall Method to Overcome Long Attendance Queues and Reduce the Risk of Exposure to Covid-19

Employee attendance using finger print attendance device, is not efficient enough for PT. Modern Gravure Indonesia, because it will result in long queues. In addition, attendance using a finger print attendance device can increase the risk of contracting COVID-19 disease, because there is physical contact. So a mobile-based application is needed in order to anticipate long attendance queues and avoid the risk of being exposed to COVID-19. This application provides an attendance feature with location validation using LBS technology. If the employee is already in the office area or less than 500 meters from the office coordinates, then he or she can take attendance, so the employee cannot commit fraud. This application can also display monthly reports that are used for integration with the PT. Modern Gravure Indonesia. The method used to build this application is Waterfall and UML diagram modeling. This application will be built using the Flutter framework. And for the server side it will be built using the Laravel framework. With this application, it is expected to be able to overcome long attendance queues and reduce the risk of being exposed to Covid-19 at PT. Modern Gravure Indonesia.
Automatic detection and quantification of earthquake locations and basic source parameter for the Guyana M5,7 2021 earthquake sequence

More than 3000 aftershocks (and foreshocks) were automatically located near the border of Brazil, part of a seismic sequence associated with the Guyana 2021 M5.7 earthquake.Data from BOAV station was processed using a template correlation while the local network stations were processed using a procedure based on STA/LTA detector with an AIC picker.Three catalogs were built containing origin times, magnitudes, epicenters and hypocenter when possible.Our best catalog readings presented a final standard error on 0.15s, estimated from a composed Wadatti diagram analysis.Near to the epicentral area we found a Vp/Vs value equal to 1.671±0.006.The G-R relation analysis indicates that we obtained a completeness magnitude close to 1.4 MLv with a "b-value" equals to 0.85±0.01.From the hypocenter distribution we confirmed a NW-SE fault plane dipping to the SW direction.
THE IMPLEMENTATION OF TEACHING LISTENING TOEFL AT TEST ENGLISH SCHOOL

TOEFL test is requirement that must be done by some university, especially for English education department. From that situation, choose the right school to learn listening TOEFL. TEST English School is one of School or Course that focuses on the TOEFL preparation. This research conducted to describe the implementation of the TOEFL listening teachers at TEST English school in teaching TOEFL listening TOEFL. Descriptive qualitative method is used by this research. The data sources are the teachers of listening TOEFL, the director and 50 % students that learn listening TOEFL. Data collection technique in this research are interview, observation and documentation and three instrument there are interview guides, observation checklist and documentation. The data analysis technique in this research are reduction, data display and drawing conclusion. The result of this research are: 1) the teacher preparation in teaching listening TOEFL are syllabus, lesson plan and media, such as laptop, WhatsApp audio listening, projector, speaker, songs and Cambridge online dictionary, 2) the teachers do warming up before teaching, check the students’ homework, teaching by using clear explanation, good interaction with the students, solve the students’ problem, give the tips in doing the test and increase the students’ listening and give motivation to the students. 3) The evaluation done in every morning by doing test or scoring and done discuss the students’ problem in learning or doing the test in every Friday.
Design of Psychological Test Expert System for New Employees Recruitment with Profile Matching Method

Employees are the most valuable assets for the company.So, the selection of prospective employees needs to be done to get quality resources.This study aims to develop a psychological test application design that can be used to determine the interests, talents, personality, and skills of prospective employees efficiently and accurately; also processes the results of the selection test for prospective employees.This application can save time and money and provide recommendations to the human resources department during the Covid 19 pandemic.The research method used was a descriptive method with qualitative descriptions.The results indicated that the psychological test expert system can run smoothly with a database; ES module with profile matching method; answer correction module and user interface; as well as providing recommendations regarding prospective employees for a job position.The test of the acceptance level of the focus group discussion (FGD) participants was 97.27% of the total user interface tested.The results obtained were fairer because there was no subjective element in determining the accepted employees.
The Research of Uneven Educational Resources

With the development of the economy and education industry, the competition between people has been intensified.However, that situation is caused by the problem of uneven distribution of educational resources, which seriously affects the opportunity of fair competition and children's equal right to education.The main objective of the paper is by evaluating and exploring the unequal access to educational resources and future development among different social situations to find out whether the current education system is capable of giving children the opportunities to acquire knowledge.By reading and studying the papers, data and researches the paper findings show an unequal distribution of educational resources, especially for higher education.The approaches of the paper are identifying and describing various aspects of the society, for instance, local education policy, the teaching level of teachers, teaching facilities, and parental income level, which have effects on social resources access and social equality.The significance of the paper is making people aware of this severe problem and implement relevant measures.