Reviewerly/exHarmony huggingface dataset:
Identification of hidden mineralized and non-mineralized zones using spectral analysis of geochemical data

Detection of dispersed and blind mineral deposits is an important aim in the mineral exploration. Detailed exploratory operations such as drilled boreholes which are performed for exploration of mineral deposits in the depth caused high cost and risk. In this research, a new scenario based on spectral analysis of geochemical data has been utilized for prediction of mineralized zones in the depth without any additional cost. The variations of mineralized elements from the surface to the depth are predicted and delineated by using this approach based on surface geochemical data. This proposed approach is the state-of the-art application of two-dimensional Fourier transformation (2DFT) for geochemical image processing. This approach which is named frequency coefficient method (FCM) has been defined based on the behavior of elements in the frequency domain. In this study, the FCM shows two Pb and Zn mineralized zones at the surface and moderate depth and a non-mineralized zone at the profound depth in Chichakloo Pb–Zn mineralization. Finally, the results of FCM have been validated and confirmed by the results of drilled boreholes and geophysical surveys.
Evaluating and Predicting the Quality of Answers Factors in the Research Gate’s Question and Answer System: a Case Study of the Thematic Domain of Knowledge Management

Evaluating and Predicting the Quality of Answers Factors in the Research Gate’s Question and Answer System: a Case Study of the Thematic Domain of Knowledge Management
Anomaly Detection in Video Sequences using Multiple Object Tracking and Autoencoder

Identifying anomaly in video sequences is a major topic in computer vision community. Therefore, it is important to automate the camera system for understanding video activities. We used a semi-supervised learning method by extracting features such as the pixel value of the video frame and the coordinates of the bounding boxes of objects which further uses multiple object tracking systems along with an autoencoder model. While tracking, the stationary object pixels which are treated as fixed pixels start crossing the boundary of video frame then those points are considered as an anomaly. We use the autoencoder model which gives a score of reconstruction error automatically through the difference between the input value and previously constructed value. The experiments are performed on real-time video covering the objects having normal and abnormal activities. The observed results have shown that the reconstruction error of static object moving abruptly and touching boundary is higher than that of expected motion of instance and are considered to be anomalous. This shows the effectiveness of the proposed method.
NLP@NISER: Classification of COVID19 tweets containing symptoms

In this paper, we describe our approaches for task six of Social Media Mining for Health Applications (SMM4H) shared task in 2021.The task is to classify twitter tweets containing COVID-19 symptoms in three classes (selfreports, non-personal reports & literature/news mentions).We implemented BERT and XL-Net for this text classification task.Best result was achieved by XLNet approach, which is F1 score 0.94, precision 0.9448 and recall 0.94448.This is slightly better than the average score, i.e.F1 score 0.93, precision 0.93235 and recall 0.93235.* Equal contribution.Deepak implemented BERT while
A Way Out for EFL Education at the Tertiary Level under the Context of Internet Plus

The application of modern information technology in College English teaching not only makes the teaching methods modernized, diversified and convenient, but also transform its teaching ideas, teaching modes and learning conditions. This paper analyzes the major challenges in teaching and learning faced by EFL education at the tertiary level under the background of internet plus foreign language education, including decline of college students’ motivation and engagement in English learning, transition problems from online learning to offline learning, and teachers’ lack of information technology competence. To address the above listed challenges, this paper puts forward corresponding solutions to better meet the requirements of the “Internet plus” era.
Code Mixing on SMS: Emerging Allay Language

Communication can be done by various ways. One of them is by sending message on cellular phone called SMS. The limitation of character is the caused for having short writing system on it. The character of it is various due to the users. It is Alay who present the new system of writing SMS by shortening, mixing, and giving any codes of symbols to represent the message. The research on it has lead of figuring out the relationship of life style to it; the possibility by doing it; and how it develops. The data are taken from ten students about Alay technical writing system and it is analyzed by using descriptive analysis. The finding will lead to discover this emerging new style of language.
PongClone Project Setup

In this chapter, I will walk you through setting up a new game development project in Java or C#. You can use this chapter as a reference for both versions of the game engine. We’ll also prepare the game’s resources including images, sounds, and class config files used by the game screens for data-driven customization.
Penerapan Algoritma C4.5 Data Mining Dalam Mengukur Tingkat Kepuasaan Masyarakat Kecamatan Siantar Terhadap Perbaikan Jalan 2019

Roads are land transportation infrastructures that are used every day by humans both on the surface of the land, below the surface of the land or above the surface of the water. This means that the road is a very important supporting factor in carrying out daily human life, both roads in village and roads in the city. But not all people of Kabupaten Simalungun , especially Kec. Siantar feel that their roads are worth using, but not a few also feel happy that their roads are being repaired. For this reason, the writer would like to know the level of satisfaction of the people of Kabupaten Simalungun, especially Kec. Siantar towards road improvement in their respective areas that has been carried out by the Dinas Pekerjaan Umum Kabupaten Simalungun. The method that I use is the C4.5 algorithm, also called a decision tree, which uses a tree structure representation, the concept of this decision tree is to collect data, then a decision tree is created which will then produce rules for problem solutions, so that this method can know effectively the level of community satisfaction specifically Kabupaten Simalungun.
Deploying WSL at Scale

Deploying WSL at scale requires you to be aware of some important things for the best experience.
Effective Secure Mobile Profile Creation Using Virtualization

Smartphones allow end users to perform several tasks while being on the move. As a consequence, end users require their personal smartphones to be connected to their work IT infrastructure.  In the smartphone domain, the Android OS is by far the most popular platform with major market share. More and more companies nowadays provide mobile versions of their desktop applications. As a consequence, end users require their personal smartphones to be connected to their work IT infrastructure.  In the smartphone domain, the Android OS is by far the most popular platform with major market share. More and more companies nowadays provide mobile versions of their desktop applications. Company confidential data should be stored in a separated space of the mobile storage. Due to Improper maintenance of location and activity manager the data there are data sharing, data leakage and data loss between different user profiles. In proposed work each profile details can be stored externally. The External Storage makes the directory for the each profile which can be used to store the information of the profiles which outperforms all the issues in all Existing technologies
Making File Names for Digital Exhibits [Data]

Lesson handout and worksheet in pdf and Word formats comprise accompanying files for chapter, Making File Names for Digital Exhibits,” Data Literacy Cookbook, published by ACRL.
A Novel Dehazing Technique for Underwater Image Using Nakagami Distribution

Due to light absorption and scattering most of the underwater images suffers from poor visibility, lack of contrast and color casting, foggy appearance etc. As a result, important information from the image is also lost. There are many approaches to enhance the underwater image quality using different methodologies. The aim of this paper is restoring the color, contrast and lost information from underwater images with the help a new methodology using contrast stretching. The stretching process is applied to the images using Nakagami distribution. The proposed methodology has been tested on about 100 underwater images. The qualitative and quantitative comparison with Histogram Equalization Method (HE), Integrated Color Model(ICM) and Unsupervised Color Correction Method (UCM) has been done. In most of the cases we have found our result is better than the others.
Digitalization of educational content in the context of distance learning: the readiness of students and teachers

Digitalization of all sectors of the economy, the implementation of digital technologies in all spheres of life open up unsurpassed opportunities for economic development and, as a result, improve the quality of citizens’ life. Digital technologies provide an opportunity to intensify the educational process, improve the level and quality of perception, understanding, and assimilation of knowledge. The article provides a theoretical analysis of the problems and prospects of the digitalization of educational content in the context of distance learning. Based on an expert survey, the main types of digital educational content used in distance learning were identified. In the course of empirical research, the authors performed diagnostics of readiness of students to distance learning using digital learning resources, as well as the teachers' readiness for professional self-improvement in the implementation of digital educational content (DEC) in the learning process.
Introductions, titles and abstracts

In this chapter I explore how to effectively attract readers’ attention and set the hook so that they read the rest of your article. I first discuss what comprises an effective introduction, then discuss how to grab readers’ attention with interesting titles, and lure them in with succinct, informative abstracts.
코로나19 시대의 보육: 어린이집의 운영 실태와 과제

Objective: Covid-19 is changing many aspects of child care programs. The objective of this study was to explore how the pandemic and mitigation efforts affected the experiences and practices at child care centers in the summer of 2020.Methods: Focus group interviews and mobile surveys were conducted with principals and teachers of child care centers in August and September 2020. Descriptive statistics including frequency distributions, means and standard deviations and mean differences were used to analyze the survey data with SPSS 22.0.Results: It was found that each sector of child care settings experienced different difficulties and had various needs. Young children s lack of energy, child care teachers workload and stress, and principles’ efforts to interrupt transmission of the infectious disease based on insufficient government guideline and supports wererevealed as the main experiences.Conclusion/Implications: The Covid-19 pandemic has had a tandem of influences on daily life at child care centers. As policy makers consider additional guidelines or supports measures to prevent the infection and spread of Covid-19 at child care centers, long-term as well as short-term plans at various levels should be considered to meet the unique needs of child care programs.
Typological features of students’ learning ability in the study of mathematics in higher education

This article is devoted to the study of the typological features of students’ learning ability in the study of mathematics. Proficiency is a comprehensive criterion, which gives us a definitive picture of the availability of the necessary knowledge, skills and abilities of the student, but at the same time, this criterion does not contain information on the cause of deficiencies in LP. And the more variety of content and form of educational material passes through his perception and practice in changing situations of activity, the more this ability will be richer in skills, stronger, more consolidated and more mobile in his activity.
Implementing the Principle of Legality in Improving Educational Organizations Territories

Issues of legality of using students’, their legal representatives and teachers’ labor on the territory of schools from the point of view of Russian and international legislation are considered. The article analyzes the issues related to involving students (and their parents) in the activities aimed at improving the territory and premises of an educational institutions from the point of view of the federal law “On Environmental Protection” and bylaws and instilling socially significant qualities in the younger generation.
PEMBUATAN ANIMASI DALAM MENJALANKAN RUKUN ISLAM MENGGUNAKAN APLIKASI 3DS MAX

In Islam, there are five pillars that become general guidelines for Muslims. These five pillars are called the Five Pillars of Islam. The Five Pillars of Islam are an important basis that must be known by all Muslims. In delivering this information, technology's role is needed because the development of information technology is currently developing very rapidly. Information is one of the needs that are needed by many people. Animation is one of the media in the delivery of information. With animation, the information conveyed can attract attention and increase motivation because it provides an easier understanding of the information provided. This research aimed to make an animation as an information media in carrying out the Five Pillars of Islam. By utilizing the application from 3DS Max, the information will be packaged in the form of 3D animation.
Factors Causing Student Learning Difficulties in Following Online Learning and Teacher Guidance and Counseling Efforts to Overcome Them

This research is motivated by the phenomenon of students experiencing a decline in grades in certain subjects, not understanding the use of learning applications and having difficulty concentrating on learning. This is due to changes in learning situations that were previously face-to-face turned into online learning. This study aims to describe the factors that cause student learning difficulties in participating in online learning and the efforts of counseling teachers to overcome them. This type of research is descriptive using quantitative methods. The study population consisted of 408 students of SMA Negeri 13 Padang who were registered in the odd semester of the 2020/2021 school year, with a sample of 202. The sample selection used a proportional random sampling technique. The data collection technique used a questionnaire with a Likert scale model. Data were analyzed using descriptive statistical techniques. The results showed that the factors causing student learning difficulties in participating in online learning were generally in the high enough category. And based on indicators (1) the low factor of technology use is in the high enough category with a percentage of 33.17%, (2) the limited factor of facilities and infrastructure is in the very low category with a percentage of 37.13%, (3) the limited internet network factor is in the very high category with a percentage of 28.71% (4) the limited cost factor of many students was in the quite high category, with a percentage of 38.12%. Furthermore, the counseling teacher's efforts in overcoming are in the high enough category and based on the indicators (1) the increase in learning motivation is in the loe category with a percentage of 58.91% (b) the development of attitudes and good learning habits is in the  sufficient category high with a percentage  of 32.67%.
Semântica denotacional para o lambda cálculo computacional em Agda.

New features for programming languages require solid foundations before implementation. These features are often modeled by smaller systems—the λ-calculi—that capture the language’s core and separate them from the syntatic sugars. The denotational semantics of those systems are a very helpful tool in reasoning about programs and their properties. This work formalizes, in Agda, the standard model for the computational λ-calculus, a system that extends the simply typed λ-calculus with a modal operator used to define computations involving different side effects.
Το ζήτημα της ποιότητας της καταλογογράφησης και οι απόψεις των καταλογογράφων στις ακαδημαϊκές βιβλιοθήκες

This study explores the concept of quality in library cataloging and examines the perception of quality cataloging among the professionals in academic libraries. The examination of the concept of “cataloging quality” is aimed at understanding its basic characteristics despite the fact that there isn’t an objective definition. The aim is to clarify to professionals the modern cataloging environment pointing out the appropriate tools and opportunities that are offered in order to make libraries’ services more effective for both professional catalogers and users who consist of the final recipient of the information. As far as methodology is concerned, for the demands of this thesis, sample research has been preferred as the most appropriate. The collection and processing of the questionnaire results was fulfilled through the Google Forms application. The results of the research underline the fact that the quality of cataloging depends on a combination of factors such as technical details of the record, adherence to standards, cataloging process, impact of cataloging on users and finally the acquisition of culture of quality.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI ABSENSI MAHASISWA DI UNIVERSITAS BATAM DENGAN PEMODELAN UML

Absent of course refers to the gathering of data to determine student attendance at lectures. Each activity requires a student or information. It also occurs in the process of teaching and learning on campus, the University of Batam. One of them is the presence of a student uses to determine their college student while walking on campus. Intake of attendance data itself is still done manually using paper forms containing the names of students, and the department has many shortcomings, such as invalid data when data is entered incorrectly, so as to overcome the fraud is present, the authors build Analysis and Design students presence information systems at the University of Batam with modeling Unified modeling language (UML) . The results of the analysis and design of this construction can design Fingerprint application form, which will be used to roll up the data in the form of student Fingerprint. So fingerprints can help faculty to assess student learning while doing college attendance. In order to find out students who do not attend and reduce the impact of fraud in cheating students.
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints

The theory of integral quadratic constraints (IQCs) allows the certification of exponential convergence of interconnected systems containing nonlinear or uncertain elements. In this work, we adapt the IQC theory to study first-order methods for smooth and strongly-monotone games and show how to design tailored quadratic constraints to get tight upper bounds of convergence rates. Using this framework, we recover the existing bound for the gradient method~(GD), derive sharper bounds for the proximal point method~(PPM) and optimistic gradient method~(OG), and provide \emph{for the first time} a global convergence rate for the negative momentum method~(NM) with an iteration complexity $\bigo(\kappa^{1.5})$, which matches its known lower bound. In addition, for time-varying systems, we prove that the gradient method with optimal step size achieves the fastest provable worst-case convergence rate with quadratic Lyapunov functions. Finally, we further extend our analysis to stochastic games and study the impact of multiplicative noise on different algorithms. We show that it is impossible for an algorithm with one step of memory to achieve acceleration if it only queries the gradient once per batch (in contrast with the stochastic strongly-convex optimization setting, where such acceleration has been demonstrated). However, we exhibit an algorithm which achieves acceleration with two gradient queries per batch.
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data

Methods that sparsify a network at initialization are important in practice because they greatly improve the efficiency of both learning and inference. Our work is based on a recently proposed decomposition of the Neural Tangent Kernel (NTK) that has decoupled the dynamics of the training process into a data-dependent component and an architecture-dependent kernel - the latter referred to as Path Kernel. That work has shown how to design sparse neural networks for faster convergence, without any training data, using the Synflow-L2 algorithm. We first show that even though Synflow-L2 is optimal in terms of convergence, for a given network density, it results in sub-networks with bottleneck (narrow) layers - leading to poor performance as compared to other data-agnostic methods that use the same number of parameters. Then we propose a new method to construct sparse networks, without any training data, referred to as Paths with Higher-Edge Weights (PHEW). PHEW is a probabilistic network formation method based on biased random walks that only depends on the initial weights. It has similar path kernel properties as Synflow-L2 but it generates much wider layers, resulting in better generalization and performance. PHEW achieves significant improvements over the data-independent SynFlow and SynFlow-L2 methods at a wide range of network densities.
A study on the data fusion using the national health screening data

The exact combination of data collected from different objects is difficult. Data fusion is the statistical combination process of obtaining an integrated dataset using common variable. We consider three statistical techniques for data fusion: conditional mean matching using linear regression models, gamma regression using nonlinear regression models on two independent datasets, and a distance hot deck nonparametric approach based on the distance of each variable. The National Health Insurance Corporation
Scientific and pedagogical bases of professional competence training of teachers

This article provides practical methodological recommendations on the need to improve the professional competence of teachers and the implementation of the requirements of today's state educational standards, and provides insights and comments on the example of the activity of a teacher of music education. The article also examines the best practices of the republic, which are recommended for popularization of didactic views.
Rangnathan’s Perspective on Digital Preservation: In Accordance with First Law

Ranganathan's theory of Five Laws is a back bone of all library services and to prove a mile stone of present development of Information science. This theory proposed by Rangnathan in 1928 and published in 1931 as operating principles of library science. The first law ‘Books are for use’ which is related to accessible possibilities of all reading materials, second law is ‘Every person his or her book’ related to removal of all accessing barrier of resources and obligations of access materials for users, third law Every books its reader’ is related to every reading documents which have its user or reader, forth law is correlate to save the time of user and last but not least any Library/ information centre is in a growing stage with its information storage and dissemination performances. This is an actual correlation of five laws in present development of information science.