Reviewerly/exHarmony huggingface dataset:
A low-cost approach to develop Weather, Water and Climate Services (WWCS) in rural areas of Tajikistan

&amp;lt;p&amp;gt;Severe weather and climate change take a high toll on the most vulnerable population of Tajikistan. Every year, droughts, flooding or avalanches and non-optimal management practices cause food insecurity and affect the lives of exposed rural communities. Weather, Water and Climate Services (WWCS) that support agronomic decisions and early warning systems can greatly reduce socio-economic and environmental impacts on vulnerability and well-being. However, a lack of resources and local capacities have so far inhibited their development. In response to this urgent need, a consortium of Swiss federal institutions, the WMO and ICARDA, led by CARITAS Switzerland and with co-funding from the Swiss Agency for Development and Cooperation, support governmental and private sector partners in Tajikistan to develop WWCS. The project improves the observational database by deploying a large number of low-cost automated weather stations complemented by citizen observations in remote areas. These stations enable post-processing of forecasts and thereby the development of reliable services tailored to local user-needs. &amp;amp;#160;The underlying hardware and software developments follow a strict open-source policy and combine technical expertise in sensor development and statistical post-processing. The approach enables therefore replicability and scaling of the services at minimal costs. Comparative measurement studies show promising accuracy and stability of the data retrieval in comparison to more standard approaches. Post-processing of ECMWF ensemble predictions, which are now publicly available at a resolution of 0.4&amp;amp;#176; (~40km), proved efficient to develop reliable air temperature forecasts. Pilot WWCS based on citizen observations have already helped to increase agricultural yield at a test site.&amp;lt;/p&amp;gt;
Artificial Eye - Boost to Life

A Contracted socket is a complication of an Anophthalmic socket which results in the inability to support prosthesis.Contracted socket defines absence of functional eyeball from orbit.In most of cases, its presence take a lot on person's confidence and make oneself very difficult to come out of psychological trauma and stress associated with it.Rehabilitation of these patients is of utmost importance to provide positivity and self confidence in these scenarios.Artificial Eye (Customized Ocular Prosthesis) acceptance is dependent on individual persona and multiple sitting approaches to satisfy the individual need.There are occasions to modify the socket by surgical intervention to fit the artificial prosthesis.This article was written to create basic understanding of artificial eye and its various steps of manufacturing and dispensing.
Rancang Bangun Sistem Informasi Pengarsipan dan Pendistribusian Surat

Archive management is very important for an institution. Archive management at Panca Marga University has not been done computerized. Manual management raises several problems, including slow search, need for extensive mail storage and rather slow distribution. These problems can be solved by building an information system for filing and distributing mail. System development use the waterfall method. In this study, a system can be built to be able to manage incoming letters, outgoing letters, decision letters, letter dispositions along with the distribution of the letters. Based on the results of black box testing, the system that was built was running according to its functionality.
Virtual teaching strategy for online learning of the subject Entrepreneurship and Management at the baccalaureate level

The COVID-19 pandemic has caused a change in the educational environment, it went from being face-to-face to virtual, it is necessary to think about didactic strategies for subjects that need a different treatment in their development and explanation. The objective of this article is to propose a virtual teaching strategy for the strengthening of online learning of the subject Entrepreneurship and Management in the baccalaureate. The research conducted is hermeneutic in approach and descriptive-explanatory in scope. The sample selected was 58 students of the third year of high school of the Unidad Educativa Fiscal Durán, a probabilistic intentional sampling by quotas was applied, which facilitated the interpretation of results on the lack of use of virtual learning environments and technological tools by students and teachers. In addition, educators presented difficulties in planning, development and evaluation for online classes. A virtual teaching strategy was designed that generates interaction and reflection in the teaching-learning process from the virtual environment, which has the following phases: virtual teaching-learning planning, virtual teaching-learning communication and activity, and online evaluation of assimilated learning.
Investigating Learners’ Perception about Mobile Assisted Language Learning

Mechanical progression utilizing broad making use of each view of life has induced teachers to be a concern with resourceful procedures within the study areas.Adaptable assist verbal communication learning Mobile Assisted foreign language education is the most recent method that is acquiring in foreign language learning.Ongoing paper means of investigating the Perceptions of learners about Mobile Assisted foreign language education (MALL).The study involved quantitative design an exploration plan.The number of learners in the study included concentrating at the University.As of the supposed inhabitants, 200 learners.The information was assembled through nearby completed survey.The gathered information was subsequently broken down employing the help of SPSS.Outcomes draw round that the Pakistani learner has shown a positive tendency toward (MALL).The concentration likewise features one more element of Mobile learning that it upholds learning easily as well as persuades learners to learn in a cooperative mood.
The Effect of HR Practices on Job Satisfaction in the Banking Sector of Pakistan. The Practical Implication from Long-term and Short-term Perspectives – COVID-19

This empirical investigation identifies the effect of organizational culture on the job satisfaction of bank employees in KPK Pakistan. Data were collected from the banking sector on employees’ job satisfaction. The sample consisted of over 165 employees from 30 national and international banks in Pakistan. Data were analyzed using correlation and regression analysis. The results of the study highlight that job satisfaction is closely connected with the variables of organizational satisfaction such as reward, organizational support, work environment, leadership, and communication. Culture and the variable of culture pay play a significant in job satisfaction. Many other organizational factors variables have a deep and positive relationship with job satisfaction.
PENGARUH TINGKAT KECERDASAN DAN PERILAKU BELAJAR TERHADAP TINGKAT PEMAHAMAN AKUNTANSI MAHASISWA PROGRAM STUDI AKUNTANSI DI UNIVERSITAS TRIATMA MULYA

The level of intelligence and good learning behavior is very important to the level of understanding of accounting. This study aims to examine the effect of the level of intelligence and learning behavior on the level of accounting understanding of students in the accounting study program at Triatma Mulya University. This study uses primary data, where data collection is carried out using questionnaires distributed by researchers to respondents who have predetermined criteria. The sample was carried out by purposive sampling method. The number of respondents used in this study were 41 people. The research method used is quantitative research and for data analysis using multiple linear regression analysis with the help of SPSS (Statistical Product and Service Solutions). The results of this study state that the level of intelligence and learning behavior has a positive effect on the level of accounting understanding.
Information system to determine study programs for prospective students based on Android

The development of information technology, especially the technology that exists on smartphones is very large, so many people have smartphones, with the existing smartphones at this time it can be used for various things, one of which is the determination of study programs for prospective new students. The selection of study programs that are permanent and in accordance with their abilities is one way for students to be able to complete their studies at universities. Many students are confused and careless in choosing a study program. There are also those who choose a study program only to go along with their friends so that during the lecture process there are many obstacles to achieve a bachelor's degree, even having to take education until the end of the study period. Multi Criteria Decision Making is one of the ways that can be used to help prospective students based on their own abilities, especially since the program is made specifically for Android-based Smartphones. Thus, prospective students can try to choose the best based on the values that match the criteria determined by the desired study program without being embarrassed to know whether to be accepted in the chosen study program or not. The use of the Android platform is because almost everyone now has an Android-based smartphone so that applications can be downloaded for free on the Play Store.
FOREIGN DIRECT INVESTMENT AND EDUCATION IN NIGERIA: A QUANTILE ANALYSIS

This study examines the impact of education on foreign direct investment inflow to Nigeria. The study used time series data from Nigeria from 1999–2020 on ordinary least square and quantile analysis techniques. The results obtained show that education enhances FDI inflow in Nigeria both within the mean and outside the mean of data. The study recommends that policymakers coordinate their FDI and education policies to maximize economic benefits. KEYWORDS: foreign direct investment, Education, Quantile analysis and Nigeria.
Adaptation and Validation of Cyber Incivility Scale in Indonesian Language and Culture with Confirmatory Factor Analysis

This research, divided into two studies, aimed to modify and adapt the cyber incivility scale compiled by Lim and Teo (2009) in the Indonesian language and culture. Study 1, namely the process of translating the items and testing their suitability, involved six translators, three expert reviewers, and 10 participants for cognitive debriefing purposes. Meanwhile, Study 2 involved 232 workers in Indonesia who occupied structural leadership positions. At this stage, a trial of the cyber incivility scale was carried out. The scale was adapted with confirmatory factor analysis using AMOS version 22. The entire adaptation process referred to the procedures of the 2016 International Test Commission (ITC) Guidelines for Test Adaptation. The CFA results showed that the cyber incivility scale measurement model fitted with Lim and Teo's (2009) cyber incivility construct. Overall, this research showed that the Indonesian version of the cyber incivility scale is valid and reliable, thus applicable to measure the cyber incivility in the context of the perpetrator in Indonesia.
Modeling of Additional Professional Educational Programs to Overcome Subject Deficits of Mathematics Teachers

Modern challenges of the system of mathematical training of schoolchildren cause the growth of subject professional deficits of a mathematics teacher. However, the question of how to identify and level these deficits remains open. This makes it possible to state the problem of research, which consists in finding effective methods for overcoming the subject deficits of a mathematics teacher. The purpose of the article is to determine a modern approach to modeling additional professional educational programs for overcoming subject deficits of mathematics teachers and to develop a structural-meaningful model of an additional professional educational program “Subject deficits of a mathematics teacher”. Methodology. The methodological basis of the study was a competency approach as the basis for structuring the professional competencies of a mathematics teacher; a variable-modular approach as a constructive basis for structuring the model of an additional professional educational program; a systematic approach as the basis for diagnosing the professional deficits of a mathematics teacher; professional standard of a teacher (Module “Subject training. Mathematics”), the requirements of the federal state educational standard for the mathematical training of students in a comprehensive school. Methods of analysis of special literature and regulatory documents, pedagogical modeling and design were used. Study results. The conceptual foundations of modeling an additional professional educational program to overcome the subject deficits of a mathematics teacher have been identified. A structural model of the additional educational program “Subject deficits of a mathematics teacher” is presented. Conclusion. A distinctive feature of the additional educational program presented in the article “Subject deficits of a mathematics teacher” is that it consists of modules that design the continuous process of professional growth of a mathematics teacher in the context of targeted, personalized assistance to practicing teachers, through the selection of variable program modules.
Context Sensitive Verb Similarity Dataset for Legal Information Extraction

Existing literature demonstrates that verbs are pivotal in legal information extraction tasks due to their semantic and argumentative properties. However, granting computers the ability to interpret the meaning of a verb and its semantic properties in relation to a given context can be considered as a challenging task, mainly due to the polysemic and domain specific behaviours of verbs. Therefore, developing mechanisms to identify behaviors of verbs and evaluate how artificial models detect the domain specific and polysemic behaviours of verbs can be considered as tasks with significant importance. In this regard, a comprehensive dataset that can be used as an evaluation resource, as well as a training data set, can be considered as a major requirement. In this paper, we introduce LeCoVe, which is a verb similarity dataset intended towards facilitating the process of identifying verbs with similar meanings in a legal domain specific context. Using the dataset, we evaluated both domain specific and domain generic embedding models, which were developed using state-of-the-art word representation and language modelling techniques. As a part of the experiments carried out using the announced dataset, Sense2Vec and BERT models were trained using a corpus of legal opinion texts in order to capture domain specific behaviours. In addition to LeCoVe, we demonstrate that a neural network model, which was developed by combining semantic, syntactic, and contextual features that can be obtained from the outputs of embedding models, can perform comparatively well, even in a low resource scenario.
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation

The ever-increasing data scale of user-item interactions makes it challenging for an effective and efficient recommender system. Recently, hash-based collaborative filtering (Hash-CF) approaches employ efficient Hamming distance of learned binary representations of users and items to accelerate recommendations. However, Hash-CF often faces two challenging problems, i.e., optimization on discrete representations and preserving semantic information in learned representations. To address the above two challenges, we propose HCFRec, a novel Hash-CF approach for effective and efficient recommendations. Specifically, HCFRec not only innovatively introduces normalized flow to learn the optimal hash code by efficiently fitting a proposed approximate mixture multivariate normal distribution, a continuous but approximately discrete distribution, but also deploys a cluster consistency preserving mechanism to preserve the semantic structure in representations for more accurate recommendations. Extensive experiments conducted on six real-world datasets demonstrate the superiority of our HCFRec compared to the state-of-art methods in terms of effectiveness and efficiency.
Virtual Information Services During the Covid-19 Pandemic in Makerere University Library, Uganda

The unprecedented outbreak of Covid-19 led to disruptions in all aspects of life and the economy. Total and partial closures have characterised the pandemic period to contain the spread of the epidemic. Higher education institutions have devised new forms of existence. With the increasing mutations of the virus, coupled with slow vaccination rollouts in Uganda, e-learning remains the practical pedagogy, while electronic information resources are the vital support for learning and research in these circumstances. During the first lockdown, in April 2020, the library carried out a qualitative study on both frontline library staff and academic users. The aim of the study was to understand the experiences of use of electronic resources during the pandemic period. Among the observations of the study was a total decline in downloads from institutional subscriptions of up to about 20% in the year 2020. This finding was troubling, given prior assumptions that lockdowns would boost e-resources’ uptake. Furthermore, while the library website and its aggregator tools had traditionally been assumed to be key access points for institutional resources, the study showed that most respondents preferred Google Scholar and not the library discovery tool, as their preferred key search interface. While Google Scholar worked perfectly on campus within permissible IP ranges, off campus access, as determined by the pandemic period, required a remote access tool. As such, respondents who utilised Google Scholar, experienced marked differences in the levels of access while outside the university network. Thus, the findings revealed that the library website was not the first point of recourse for most users and that this particularly affected the utilisation of e-resources. This chapter, therefore, highlights efforts to improve the use of e-resources through augmenting the website with interactive and other applications. It includes, but are not limited to, a subscription to another remote access system (MyLOFT – My Library on Finger Tips), which enables users to remotely access the library’s electronic resources, using their personal accounts and internet from anywhere with more flexibility.
Classifying Mechanical Vibrations using Artificial Neural Networks and Quantum Angle Encoding

Artificial Neural Networks are computing models that have been leading the progress in Machine Learning applications. In parallel, the first quantum computing devices have become available, paving the way for a new paradigm in information processing. Data representation is important for machine learning models. High-dimensional data can be converted to low dimensional codes efficiently by an artificial neural network. Due to quantum properties, a quantum algorithm can also perform this task, leaving only the neural network to perform the classification. In this paper, a quantum angle encoding algorithm is used to encode the vibration data into a binary representation, leaving the artificial neural networks for the classification. The vibration data in converted by applying a rotation on each of the Bloch sphere axes (X, Y and Z). After the rotation is performed, a measurement is made, collapsing the state into a single binary representation (0 or 1). Using the original and the converted data, multiple artificial neural networks topologies were trained to classify the data.
PERANCANGAN SISTEM APLIKASI DESKTOP PRODUKTIVITAS TIM VALIDASI PADA PERUSAHAAN MARKETING RESEARCH INDONESIA

Work productivity is the ability of employees to produce compared to the input used, an employee can be said to be productive if he is able to produce services in accordance with the expected time. The purpose of this study is to analyze the system that is running on the Validation Team. The research method used is the waterfall method to describe the running system and the design to be built. The method of analysis that the researcher uses is by conducting direct observations at the company, conducting research on problems, documentation by studying existing documents, and interviews with several parties involved in the Validation Team. Researchers get research results that the productivity management system is beneficial for companies, especially in the Validation Team. As for the benefits of increasing the performance of the Validation Team, the results of the information work produced will be more structured, accurate, and processing time becomes more effective. The conclusion of this research is the implementation of a productivity application system on the Validation Team, providing convenience in the work system, solving problems in recapitulating team work productivity data, and providing convenience in making the final productivity report..
PENGARUH MODEL EXAMPLE NON EXAMPLE TERHADAP HASIL BELAJAR MATEMATIKA SISWA DI SEKOLAH DASAR

Distance learning that lasts a long time makes mathematics learning outcomes less than optimal so a strategy is needed to overcome this. One way that can be used is to apply the example non example model. This study aims to determine the effect of the non-example model on students' mathematics learning outcomes in elementary schools. This research method is a quasi-experimental research that contains two variables, namely the independent variable in the form of a non-example model and the dependent variable, namely learning outcomes. The population in this study was 67 students from the fifth grade students of SD Muhammadiyah 1 Kudus. Samples were taken randomly and was selected as the experimental class and the control class each with a total of 25 students. Data collection techniques using test. Data analysis was performed using t-test. The average value of the experimental class was 83.4 while the control class was 76.16. while the results of the hypothesis test showed that the value of sig(2-tailed) was 0.000 so that Ha was accepted. So it can be concluded that there is an effect of using a non-example model on students' mathematics learning outcomes.
Formation of Research Competencies Among Students in the Process of Studying the Discipline “Technology of Organizing Independent Work”

Research skills are essential for both students and teachers. For its success, it is necessary to develop the skills of independent work. The purpose of the article. Present a system of classes for the formation of students’ research competencies. Methodology. The methodological basis of the work is the praxeological approach and its particular case – pedagogical praxeology. Research results. In the process of teaching the discipline “Technology of organizing independent work”, a system of classes was developed, the main purpose of which is to form research competencies among 1st year students. Tasks for students are designed to develop skills in working with scientific texts, to form an understanding of the need for systematic research throughout the years of study, to participate in conferences and to publish. The received materials can become the basis of term papers and theses. Conclusion. A clearly structured system of classes and tasks aimed at developing research competencies gives good results. Senior students claim that the developed skills of preparing a bibliographic list helped them in their work on abstracts, term papers, and publications. Most of them conduct research activities, participate in conferences, have published abstracts, about half have left or clarified the topic chosen in the 1st course. The rest of the students completely changed the direction of their research activities.