Reviewerly/exHarmony huggingface dataset:
Pengembangan Modul Sistem Sirkulasi Berdasarkan Penelitian Hematologi Tikus DMT2

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;pre&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This study aims to develop a circulation system module based on hematological studies of T2DM rats. The module is developed based on the adaptation of the ADDIE developmental model. A module that has been developed then went through validation which is material aspect and teaching materials aspect. Practical tests were carried out by an expert in education practitioners and 10 students who had taken Animal Physiology and Humanities courses at the State University of Malang. The average results obtained from the validation of material experts is 95.8% and teaching material experts 91.4%. While the results of field practitioner expert trials amounted to 97, 9% and based on student responses an average of 90.3% are obtained. Based on these results the module can be said to be very valid and very practical to use in the teaching and learning process.&lt;/pre&gt;&lt;p class="Abstract"&gt;&lt;strong&gt; Abstrak:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Penelitian ini bertujuan untuk mengembangkan modul sistem sirkulasi berdasarkan penelitian hematologi tikus DMT2. Modul dikembangkan berdasarkan adaptasi model pengembangan ADDIE. Modul yang telah dikembangkan kemudian melalui tahap validasi materi dan bahan ajar. Uji kepraktisan dilakukan oleh ahli praktisi pendidikan dan 10 mahasiswa yang telah menempuh matakuliah Fisiologi Hewan dan Manusia Universitas Negeri Malang. Rata-rata yang diperoleh dari hasil validasi ahli materi 95,8%, ahli bahan ajar 91,4%, uji coba ahli praktisi lapangan 97,9% dan respon mahasiswa rata-rata 90, 3%. Berdasarkan hasil tersebut, modul dapat dikatakan sangat valid dan praktis untuk digunakan dalam proses belajar mengajar.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
Penggunaan Sistem Pendukung Keputusan Seleksi Atlet Silat Sekotawaringin Timur Menggunakan Metode Simple Additive Weighting

This study discusses a case that wants to be completed using the SAW (Simple Additive Weighting) method. Some people are often confused and confused, how to solve the problem of a case using methods that have been applied. Basically all the problems and all the cases that we want to solve or want to find the decision-making system are enough with some methods that we want to do. Here the method used is the SAW method, the SAW method is very easy to understand and to be used in various cases. One of the examples discussed here is the case of searching for a selection of silat athletes from East Sekotawaringin East from 1 to 100 people will be tested and judged from the determined alternatives, until in the end searching and finding which champion 1 of 100 people who get the best rank.
Regret Bounds for Reinforcement Learning via Markov Chain Concentration

We give a simple optimistic algorithm for which it is easy to derive regret bounds of $\tilde{O}(\sqrt{t_{\rm mix} SAT})$ after $T$ steps in uniformly ergodic Markov decision processes with $S$ states, $A$ actions, and mixing time parameter $t_{\rm mix}$. These bounds are the first regret bounds in the general, non-episodic setting with an optimal dependence on all given parameters. They could only be improved by using an alternative mixing time parameter.
漢文敎育學 學位論文의 成果와 課題

The purpose of this study is to analyze the contents of 'Doctoral Degree in Chinese Education'. The total number of doctoral dissertations in Chinese education submitted to universities as doctoral dissertations is 28. This study focused on analyzing the content of the doctoral dissertation. In particular, the paper was analyzed based on research areas, research topics, content and objectives, and research methods and data. Through this process, the paper on the doctoral dissertation in Chinese education was compiled and several proposals were made.Over the past 20 years, a total of 28 doctoral dissertations in Chinese education have been reported. The Classical Chinese Language Teacher as a Researcher of Chinese solidified its status as the subject of the study. There are two types of degrees: Doctor of Education and Doctor of Literature. He used literature research as a basic method of research, and selected and utilized quantitative and qualitative research. In particular, papers that carried out the integration of quantitative and qualitative research were also submitted. Quantitative and qualitative research data were collected and generated according to the research method, and in the case of classroom class study, observation and interview, and transcription data were generated. Chinese textbooks before and after modern times and Chinese language textbooks according to post-modern curriculum were widely used as research materials for research.This paper has no purpose in determining or carrying out the 是非 of individual doctoral dissertations. Checking 成果 and 課題 through review of research contents, research methods and data of individual papers is judged to be 羅針盤 and 礎石 in the future, the selection and analysis of Chinese-language education research topics by writers and alumni.
Second Environmental Linked Features Interoperability Experiment (SELFIE) Project Updatee

Slides for presentation on the Second Environmental Linked Features Interoperability Experiment at ESIP Winter 2020.This presentation was given at the Earth Science Information Partners (ESIP) Winter Meeting held in Bethesda, MD in January 2020.
Assessment Task–Based Language Needs of Sport Management Students (Case study: University of Mazandaran)

Purpose: The purpose of this research was to identify specialized language needs of MA students in University of Mazandaran. Method: This study was mix method instruments which would deeply explore the perspectives of English for specific purpose teachers and students about task–based language needs of teaching ESP. Semi-structured interview was carried out with a number of teachers and students in the field of sport management. The statistical population of the stage includes some teachers and students in the field of sport management. The sampling method was Purposive sampling and Sampling continue until theoretical saturation. Three ESP teachers who have been teaching ESP to the students for at least four years participated in this study. They were all selected through purposive sampling. Also, MA and Ph.D. (twelve persons) students who had passed this course were selected in qualitative stage. In quantitative stage and based on the results of the first stage, the questionnaire was designed. This questionnaire was broadly distributed amongst students and teachers (33 persons) in the field of sport management. Descriptive and Inferential statistics, were used to analyze the demographic information of the participants and their responses. Results: The results of the study showed that the main real tasks which were most frequently used in the English sport management classes include Participating in daily conversations, giving lectures at conferences, Conversation with foreign experts, Understanding daily conversations. The method of working with and using English to English dictionary to take advantage of all the capabilities contained in it. Conclusions: The information obtained about the target tasks and their frequency can be employed when taking decisions about which tasks should be part of a curriculum.
Add Retention to RPD Using Endodontic Post

Currently, the RA government is undertaking a number of measures in order to draw the agriculture in the republic out of unfavorable conditions, and to provide its future development which in its turn will help to increase the population.
LibGuides: UBorrow Guide: Renewals

This guide is the beginnings of comprehensive information about UBorrow and the AlephILL client.
Relationship Between Transactional Leadership and Employee Lifelong Learning with Prove Orientation as a Mediator

The objective of this study was to investigate prove orientation mediate the relationship between transactional leadership and employee lifelong learning. For this, we distributed questionnaires to 800 employees, of which 512 valid questionnaires were received effectivity response rate of 64%. Confirmatory factor analysis and hierarchical regression analysis were employed to test our hypotheses. Our results suggested that transactional leadership positively influences employee lifelong learning, and that prove orientation has a mediating effect on this relationship. This manuscript provides a better understanding of employee lifelong learning can generate financial benefits for organizations. We conclude by proposing recommendations for management practices and future research.
A Tighter Correlation Lower Bound for Quasi-Complementary Sequence Sets with Low Correlation Zone

Inspired by Levenshtein’s idea, we introduce the low correlation zone to the weighted mean square aperiodic correlation. Then we derive a lower bound for quasi-complementary sequence sets with low correlation zone (LCZ-QCSS). We discuss the conditions of tightness for the proposed bound. It turns out that the proposed bound is tighter than Liu-Guan-Ng-Chen bound for LCZ-QCSS under some conditions.
E-Concordance: A Blended Learning Practice for Teaching Oriental Languages &amp; Literature

Concordance is a search tool giving list of all the words along with text in which they are used by an author in a published work Both printed and electric concordances of certain holy books such as Bible, Quran, or renowned literary works like that of Shakespeare’s in English, or of Rumi’s in Persian and Iqbal in Urdu etc. are prepared. Concordance is usually used to get comparatively quicker access to a certain published content to study the literary style of that very author. It is experienced that this tool can be effectively useful to teach language as well. This study is made to assess the effectiveness and challenges of using e-concordance as a research tool to teach oriental languages and literature. This study is limited to the concordances of Allama Iqbal’s poetic works in Persian and Urdu languages only. Both electronic and printed concordances of both the Persian and Urdu poetic works of Allama Iqbal are available. It has been observed that printed concordances are found comparatively more effective in terms of accuracy of results than that of e-concordance. A serious focus is recommended to develop both printed and e-concordances of more and more published classical and modern work.
MINANGKABAU AND MALAY PROVERBS: CULTURAL HERITAGE OF MALAY WORLD

Minangkabau and Malay are two allied nations having much in common besides their differences. One of the way to trace the similarities and differences between Minangkabau and Malay can be through proverbs they have in their culture. This study is an attempt to explore and observe Minangkabau and Malay proverbs as cultural heritage in order to see the similarities and differences between them. The data for this study are taken from Minangkabau and Malay proverbs both from written and spoken language. The study is focused on lexical configuration, syntactic structure, their meanings, and cultural values of the proverbs in the two cultures. The analysis of meanings, cultural values, dictions and variation will be done from the perspective of both anthropological linguistics (Duranti 1997; Foley, 1997) and from the concept of the relationship between language and culture as proposed by Kramsch (1998) stating that language reflects the culture. The results of the research indicate that in terms of lexical configuration, proverbs in Minangkabau and Malay language are constructed using synonymy. Syntactic structures of the proverbs in the two languages are categorised as frozen style. The meaning of the proverbs in the two languages are configurated literally and metaphorically. Minangkabau and Malay proverbs contained cultural values that are very essential for character building.Keywords: Minangkabau, Malay, proverbs, meaning, culture, values
A digitalização da força de trabalho: desafios para a profissão de assistente administrativo

The changes brought by the 4th Industrial Revolution and by the digital transformation have been resetting organizations and working methods.  Besides the visible alterations in business models, communication, cooperation, relationship between private and professional life and the organizations’ hierarchies, technology has been impacting jobs and employability.  Organizations and investigators have been reporting a high and vast number of job positions that are currently at risk of being replaced by technology and automation, as the work becomes more and more digital, virtual and remote.  In fact, there is a global tendency of growing and pressing needs and demands converging towards the inevitable redefinition of skills, tasks and responsibilities of a broad number of professionals and careers.
S 2 OMGAN: Shortcut from Remote Sensing Images to Online Maps.

Traditional online maps, widely used on Internet such as Google map and Baidu map, are rendered from vector data. Timely updating online maps from vector data, of which the generating is time-consuming, is a difficult mission. It is a shortcut to generate online maps in time from remote sensing images, which can be acquired timely without vector data. However, this mission used to be challenging or even impossible. Inspired by image-to-image translation (img2img) techniques based on generative adversarial network (GAN), we propose a semi-supervised structure-augmented online map GAN (S$^{2}$OMGAN) model to generate online maps directly from remote sensing images. In this model, we designed a semi-supervised learning strategy to pre-train S$^{2}$OMGAN on rich unpaired samples and finetune it on limited paired samples in reality. We also designed image gradient L1 loss and image gradient structure loss to generate an online map with global topological relationship and detailed edge curves of objects, which are important in cartography. Moreover, we propose edge structural similarity index (ESSI) as a metric to evaluate the quality of topological consistency between generated online maps and ground truths. Experimental results present that S$^{2}$OMGAN outperforms state-of-the-art (SOTA) works according to mean squared error, structural similarity index and ESSI. Also, S$^{2}$OMGAN wins more approval than SOTA in the human perceptual test on visual realism of cartography. Our work shows that S$^{2}$OMGAN is potentially a new paradigm to produce online maps. Our implementation of the S$^{2}$OMGAN is available at \url{this https URL}.
Recognising human-object interactions using attention-based LSTMs.

Recognising Human-object interactions (HOIs) in videos is a challenge task especially when a human can interact with multiple objects. This paper attempts to solve the problem of HOIs by proposing a hierarchical framework that analyzes human-object interactions from a video sequence. The framework consists of LSTMs that firstly capture both human motion and temporal object information independently, followed by fusing these information through a bilinear layer to aggregate human-object features, which are then fed to a global deep LSTM to learn high-level information of HOIs. The proposed approach applies an attention mechanism to LSTMs in order to focus on important parts of human and object temporal information.
A NEW PARADIGM OF SECURITY MODEL FOR TREASURY INFORMATION SYSTEM -- E-GOVERNANCE

The world of Computing has been completing 80 years in applying scientific methodologies to understand basic principles of Emerging Technologies.In recent times, IT has great influence on how different Indian Government Departments operate.Security is one of the most important issues in E-governance projects.Egovernance applications will be increasingly used by the citizens of many countries to access a set of government services.Currently, the use of the E-government applications arises many challenges; one of these challenges is the security issues.E-government applications security is a very important characteristic that should be taken into account.This paper analyses about new secured model developed for Treasury Information System by using Quantum Key Distribution based verifiable and traceable cipher text attributes based encryption (QKD-VTCP ABE) algorithm that support an integrated internet-based E-governance applications.
Sistem Pakar Mendiagnosa Penyakit Itp (Idiopathic Thormbocytopenict Purpura) Mengunakan Metode Variable Centered Intelligent Rule System (VCIRS)

At this time the use of computer peripheral technology has grown rapidly and is popular in the community. Most people use it not only for commercial purposes, but also to obtain information on the detection of disease quickly and efficiently with computer-based applications that can help the general public to find out the causes and symptoms of these diseases. For this reason, we need a system designed to be able to mimic the expertise of an expert in answering questions and solving a problem in accordance with the knowledge of an expert entered into a computer system. The development of Artificial Intelligence technology that has occurred has enabled the Expert System to be applied in detecting diseases using the programming language. One of them is in providing information about various problems, especially ITP (Idiopathic Thrombocytopenic Purpura) disease. The expert system method used is the Variable Centered Intelligent Rule System (VCIRS) used to deal with diagnosing ITP disease. With the facilities provided for users and administrators, it allows both users and administrators to use this system according to their individual needs. Users are given the ease of knowing information about ITP disease, its causes and prevention. This Expert System was created using the Microsoft Visual Basic 2008 Programming Language.
Toward ML-Centric Cloud Platforms: Opportunities, Designs, and Experience with Microsoft Azure

Services that rely heavily on machine learning (ML), such as speech understanding and image recognition, have been receiving significant attention. ML can also be used to optimize the cloud platforms underlying these services. The challenge is defining exactly how we should integrate ML into these platforms. In this paper, we motivate this integration, discuss multiple dimensions associated with it and the architectural tradeoffs in each dimension, and describe our first approach to building ML-centric cloud platforms. Specifically, as one point in the multi-dimensional space, we overview the Resource Central ML and prediction-serving system, its integration into the Microsoft Azure Compute fabric, and the lessons we learned. We conclude with a discussion of future research avenues.
Library: Finding and reusing research datasets: Using and citing data

Guide on finding secondary data for reserach and identifying suitable data archives for research dataset deposits.
LINGKUNGAN TEMPAT TINGGAL DAN HUBUNGANNYA DENGAN MOTIVASI BELAJAR PESERTA DIDIK DI SEKOLAH DASAR NEGERI 03 LANGKI KECAMATAN TANJUNG GADANG KABUPATEN SIJUNJUNG

This research is motivated by observations made at SD Negeri 03 Langki, Tanjung Gadang District, Sijunjung Regency. The purpose of this study was to study the description of the environment where students live as well as to learn how to study students in SD Negeri 03 Langki Subdistrict of Tanjung Gadang, Sijunjung District, to find out the relationship between the environment of educators' residence and learning participants at SD Negeri 03 Langki Subdistrict of Tanjung Gadang, Sijunjung District . This study uses quantitative methods with correlational types, 144 study populations and 38 samples of this study are research samples because of more than 100 people. The technique of collecting data in this research uses a questionnaire, after the data is obtained the researcher analyzes the data with the formula of percentage and moment of production.The results in this study are: (1) The environment of residence in SD 03 Langki Subdistrict of Tanjung Gadang Sijunjung Regency is classified as good (2) the learning motivation of students at SD Negeri 03 Langki Subdistrict of Tanjung Gadang Sijunjung Regency is classified as low (3) between the Neighborhood of residence with learning motivation of students in SD Negeri 03 Langki, Tanjung Gadang District, Sijunjung Regency. Researchers suggest after conducting research on equal participation between schools and the community in increasing students' learning motivation.Keywords: Living Environment, Student's Learning Motivation
Comparison of modern methods for detecting objects in the image

In today's world, video surveillance systems are becoming an important part of the infrastructure of cities and enterprises.A video surveillance system is understood as a complex of software and hardware for receiving and analyzing video to help a person make a decision.Currently, in most cases, video surveillance systems are used for video recording of events for the purpose of subsequent analysis and analysis by a human operator, for example, after the occurrence of an emergency situation.The current level of development of computer vision algorithms allows you to automate the receipt of answers to these questions for a number of important practical scenarios.Achievements in solving problems of distinguishing cars on the road and identifying them by license plate made it possible to create a system for automatically recording violations of traffic rules, forcing drivers to follow them.In the past few years, effective algorithms have been developed for highlighting people's faces in a video and for identifying a person by facial image.
PPML: Metric Learning with Prior Probability for Video Object Segmentation

Video object segmentation plays an important role in computer vision and has attracted much attention. Although many recent works have removed the fine-tuning process in pursuit of fast inference speed, while achieving high segmentation accuracy, they are still far from being real-time. In this paper, we regard this task as a feature matching problem and propose a prior probability based metric learning (PPML) method for faster inference speed and higher segmentation accuracy. The proposed method consists of two ingredients: a novel template space updating strategy that improves the efficiency of segmentation by avoiding the explosion of data in template space, and a novel feature matching method which applies more potential probability information through integrating the prior of the first frame and the predicted score of previous frames. Experimental results on DAVIS datasets demonstrate that the proposed method reaches the state-of-the-art competitive performance and is more efficient in time consumption.