Reviewerly/exHarmony huggingface dataset:
دراسة مقارنة لمستوى التمکین الإداری بین مشرفی التربیة الریاضیة (الاختصاص والفنی) لمدیریات التربیة فی محافظة بغداد A Comparative Study of the Level of Administrative Empowerment between the Physical Education Supervisors (Specialization and Technical) of Education Directorate in Baghdad Governorate

تضمنت مقدمة البحث الحديث عن التمکين الإداري والعملية التربوية وتطورها لتطوير المؤسسة التربوية والتعليمية من خلال العملية الإشرافية والتمکين الإداري مجالا ونظرية تربوية ناضجة قابلة للتحقيق, وتلخصت المشکلة في أن الإدارات لا تزال تفتقر إلى ﺭﺅﻴﺔ ﻭﺍﻀﺤﺔ ﻟﻬﺫﺍ ﺍﻟﻤﻔﻬﻭﻡ ﻭﻻ ﺘﺩﺭﻙ فوائدها الإيجابية ﺍﻟﺘﻲ ﺘﻨﻌﻜﺱ ﻋﻠﻰ العملية التربوية، واستخدمت الباحثة المنهج الوصفي بالأسلوب المقارن لعينتين؛ إذ بلغ عدد العينة الکلي (132) فردا وهم يمثلون عينة البحث، وقامت الباحثة ببناء مقياس التمکين الإداري، وقد عولجت النتائج بالوسائل الإحصائية (الحقيبة الإحصائية SPSS)، وقد تم عرض النتائج ضمن جداول ونقاط ومناقشتها. وتوصلت الدراسة إلى أن مشرفي التربية الرياضية التربويين في مديريات تربية بغداد يمتلکون مستوى أعلى للتمکين الإداري من المشرفين الفنيين.الکلمات المفتاحية:(دراسة مقارنة , تمکين إداري , مشرفو تربية رياضية).Abstract:          The introduction to the research included the administrative empowerment and the educational process and its development to develop the educational institution through the supervision process, and the administrative empowerment and the field of educational theory mature achievable. The problem is summarized in that departments still lack a clear vision of this concept and do not realize the positive benefits that are reflected on the educational process The researcher used the descriptive approach in the comparative method of two samples, with a total sample number of (132) individuals representing the sample of the research, The researcher has built the scale of administrative empowerment. The results were processed by statistical means (SPSS). The results were presented in tables and points and discussed. The study found that the supervisors of Physical Education, Education in the directorates of Baghdad education have a higher level of administrative empowerment of technical supervisors.Keywords: (A comparative study, administrative empowerment, sports education supervisors).
To Do or Not to Do: Game Theory and Literature

Game theory, a method of applied mathematics, has been used to study a wide range of topics. Literature is also a fertile ground for the application of Game theory. If one models literary texts as a series of decisions in which each character's decision or choice is dependent on the previous ones of others, it looks like a game, according to the formal game-theory definition. Thus irrational decisions or actions are rational in the context of a game. The current study aims to revisit Shakespeare's tragedies, Hamlet, Othello, and Antony and Cleopatra, in light of the game theory and model them in trees and matrices. These tragedies are nonzero-sum Games and there are no winners at the end. Moreover the characters' dominant strategies are associated with Nash Equilibrium.
Time-optimal Control of independent Spin-1/2 Systems under Simultaneous Control

We derive the explicit solution of the problem of time-optimal control (TOC) by a common magnetic fields for two independent spin-1/2 particles. Our approach is based on the Pontryagin Maximum Princple (PMP) and a novel symmetry reduction technique. We experimentally implement the optimal control via a home-built zero and ultralow filed NMR spectrometer. This is the first analytical solution and experimental demonstration of time-optimal control in such a system and it provides a route to achieve time optimal control in more general quantum systems.
Fake Review Detection

This paper is about revealing the truth of fake reviews posted by users to manipulate the audience about the product. In the era of e-commerce, reviews posted by the users are one of the sources for customers to make opinion and buy products online. Fake review detection is necessary to validate the truth of such reviews. For this, using various algorithms of machine learning and neural network techniques we will detect reviews and check accuracy of these algorithms. We will discuss the fake review detection procedure and the algorithms Support Vector Machine (SVM), Decision tree, Naive Bayes, and Iterative Computation Framework, compare them with product data set of Yelp and Amazon Reviews. Based on the results we see Support Vector Machine SVM has highest accuracy rate. We will discuss the methods and modification possible to increase this accuracy rate.Keywords- Fake review, Review Detection, Review Rating mismatch, Review Classifier, Detection Algorithms, Algorithm Comparisons, Naive Bayes, Support Vector Machine (SVM), Decision Tree.
Hindi to English Translation using NLTK

Multilingual Machine Translation is a computerized system that is designed to translate source text from various natural languages into target text of another natural languages. Due to increased need of global communication, multilingual machine translation is the propel for researchers. With the advancement in technology, now we have computerized systems that can replace the human experts in particular domains. One such popularly adopted domain by researchers is artificial intelligence (AI) and NLP .Natural language processing(NLP) is a field of computer science concerned with the interaction between computer and human (natural) languages. It is becoming one of the most active area in the interaction between human and computer. These includes text system that integrate text and natural language. Machine translation (MT) system is available mostly for a specific language pair. Recently many MT systems are being designed for bilingual pairs. And the research is heading towards developing MT systems that are capable of handling more than two language pairs i.e. multilingual.MT systems still has so many issues to deal with.Recently developed multilingual systems are laden with the enormous size corpus .In this proposed system we are analyzing machine translation system using NLTK.
Design of RIVAL (Cari Travel Malang) Application as One Stop App Solution for Travel Reservation in Malang

Reservations can be interpreted as order transaction for place, ticket, or goods between business owners or service providers with consumers. In travel reservation, especially in Malang, people do some travel reservations manually. They reserve the travel by phone to the travel customer service or came to the travel office. Based on the problem, the author made an application called RIVAL (Cari Travel Malang) as one-stop app solution for travel reservation in Malang that runs on mobile platform with android operating system. In this design phase, application is still local or runs on the developer local server and runs online for application testing to several people. With this application it is expected that travel reservation that are initially carried out manually by coming to service provider, now it can be done anywhere. The results of the implementation and testing were given to eight respondents with several different versions of the Android operating system namely Android Lollipop, Marshmallow, Oreo, and Pie. It was found that the application runs well without any UI constraints or main functions in the application with additional data response obtained from the test questionnaire form that the application is easy to understand from the user interface, provided information, and easy to use. With this application, it is expected travel reservation in Malang can be done easily and efficiently.Keywords: Mobile application, reservation, travel application.
KEEFEKTIFAN PENDEKATAN COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) DALAM PEMBELAJARAN MEMBACA SASTRA

(Title: Effectiveness of Cooperative Integrated Reading and Composition (CIRC) Approaches in Literature Reading Learning) Learning to read literature based on the CIRC approach is an active and integrated learning activity that involves students and instructors as principals of learning. The ability to read is one of the abilities that requires ongoing learning. Applying the CIRC approach in learning to read literature becomes one of the solutions for teachers when learning activites begin. This study aims to (11) test the effectiveness of the CIRC approach in learning to read literature in PBSI Universitas Muhadi Setiabudi Brebes Students in semester 1 of the 2018/2019 school year in reading subjects. This research is a quasi experimental research by comparing two approaches in learning, namely the conventional approach and the CIRC approach. The subject of the trial was PBSI UMUS students in semester 1 of the 2018/2019 school year. The research procedure had three stages, namely (1) the testing phase of the instrument of assessment and normally testing, (2) the learning phase, (3) the final test stage. Data collection using test techniques. The CIRC approach is more effective than the conventional approach, it is based on the resulting different test scores.Keywords: cooperative integrated reading and composition, reading, literature.
Pathological Voice Detection from Speech Signal using SVM

Speech processing (Discourse preparing) is one of the hotly debated issues for the specialist as it is utilized in the Identification and Classification of voice pathology. Discourse is unquestionably the most normal correspondence mode which people use to interface with one another. The nonappearance or disintegration of such a media will represent an extraordinary risk to appropriate comprehension between people. Identifying the variation from the norm from voice signals is as yet a difficult territory of research. Efforts are being made to plan a programmed, fast, practical and non-obtrusive acknowledgment framework which will separate such pathologic examples from those of the ordinary ones. This paper gives the various endeavors made by the scientists to recognize acoustic highlights of discourse principally to segregate typical voices from obsessive voices.
Statistical and Geometrical Methods: A Comparative Study on Color Transfer to Dark Image

Color transfer is a technical means of changing the appearance of an image (source image) such that the image has characteristics similar to those of a specified image (target image). There exist first-order statistics-based and geometry-based color transfer methods. These color transfer methods can be applied in different color spaces via space transformation. In this report, we review the fundamental principles of two color transfer methods in different color spaces and present a comprehensive comparative study on color transfer using statistical and geometrical methods in different color spaces. We assess the quality of color transfer by computing the consistency between the normalized histograms of the source image and target image and discuss the performance of each method for different color spaces. Our experiments show that the best color space is the RLAB color space while the geometrical method is quantitatively better than the statistical method for most of a large number of images.
Introduction for 35:2

The articles in this issue scrutinize the ethical justifications for media claims, practices and structures. Regarding the topic of sponsored content, the predominant ethics question tends to be on...
LibGuides: Seed Library at MSU Libraries: Welcome

The MSU Library Seed Library is a publicly accessible place to pick-up some seeds for vegetable, herb and flower growing.
Algorithms for Nonconvex Optimization Problems in Machine Learning and Statistics

The purpose of this thesis is the design of algorithms that can be used to determine optimal solutions to nonconvex data approximation problems.In Part I of this thesis, we consider a very general class of nonconvex and large-scale data approximation problems and devise an algorithm that efficiently computes locally optimal solutions to these problems. As a type of trust-region Newton-CG method, the algorithm can make use of directions of negative curvature to escape saddle points, which otherwise might slow down the optimization process when solving nonconvex problems. We present results of numerical experiments on convex and nonconvex problems which support our claim that our algorithm has significant advantages compared to methods like stochastic gradient descent and its variance-reduced versions.In Part II we consider the univariate least-squares spline approximation problem with free knots, which is known to possess a large number of locally minimal points far from the globally optimal solution. Since in typical applications, neither the dimension of the decision variable nor the number of data points is particularly large, it is possible to make use of the specific problem structure in order to devise algorithmic approaches to approximate the globally optimal solution of problem instances of relevant sizes. We propose to approximate the continuous original problem with a combinatorial optimization problem, and investigate two algorithmic approaches for the computation of the optimal solution of the latter.
Heuristic Based on Dynamic Weighting to Support Diagnosis with Two Minimization Focus in Alignment Incoherence Repair

Ontology alignment is a collection of correspondences or mappings between entities from two ontologies being matched.Alignment is an essential data resource that used as a reference to build interlinking on Linked Data.Since it is produced by an ontology matching system, the good quality of alignment determines the good performance of the ontology matching system.The coherence of alignment is one of the success criteria of the ontology matching system so that some systems implement the alignment repair feature in it.This feature restores the incoherent to coherent by removing some mappings in alignment.Research of alignment incoherence stated that the repair process should have a minimum impact on alignment by minimizing the number of removed mappings and/or minimizing the confidence value of removed mappings.The study discussed in this paper is alignment repair to restore coherent conditions with two minimization focus of diagnosis.In a repair system, the process of finding and removing a mapping to produce conflict-free alignment is called the diagnosis.We have been proven that conflict-free alignment is coherent alignment.The proposed repair system implements a dynamic weighting heuristic to guide the search for minimum removed mapping with two minimization focus, in order to produce conflict-free alignment.Experiment on 8 alignments shows that the current system which removes more mapping will produce conflictfree alignment, but does not support minimal impact.Conversely, the current system that removes minimal mapping does not support conflict-free alignment.The proposed system excels at producing conflict-free alignment with minimal impact.
Implementing artificial intelligence agent within connect 4 using unity3d and machine learning concepts

Nowadays, we come across games that have unbelievably realistic graphics that it usually becomes hard to distinguish between reality and the virtual world when we are exposed to a virtual reality gaming console. Implementing the concepts of Artificial Intelligence (AI) and Machine-Learning (ML) makes the game self-sustainable and way too intelligent on its own, by making use of self-learning methodologies which can give the user a better gaming experience. The use of AI and ML in games can give a better dimension to the gaming experience in general as the virtual world can behave unpredictably, thus improving the overall stigma of the game. In this paper, we have implemented ‘Connect-4’, a multiplayer game, using ML concepts in Unity3D. The machine learning toolkit ‘ML-Agents’, which depends on Reinforcement Learning (RL) technique, is provided using Unity3D. This toolkit is used for training the game agent which can distinguish its good moves and mistakes while training, so that the agent will not go for same mistakes over and over during actual game with human player. With this paper, authors have increased intelligence of game agent of Connect 4 using Reinforcement Learning, Unity3D and ML-Agents toolkit.
미래 고령화 사회의 평생교육을 위한 사회철학적 분석에 관한 연구

The purpose of this study was to present roles and visions for lifelong education in the future aging society through social-philosophical analysis methods. Social philosophy is a tool of thought for establishing a relationship between man and society, and a good relationship among men in the society. Socio-philosophical analysis revealed that the existing study of an aging society was narrow and superficial, enabling an analysis of an aging society from a fundamental point of view. As a result, the dominant discourse and power of non-aged people were raised as problems through the signifier of the old. It also found that the older people who were assumed to be the subjects of an aging society were not. Eventually, it explained that the subjects should be the deconstruction of the power that oppressed the elderly through the discourse of control that made them inferior hitters, and that those who would become old people and those who became old people should be the main subjects. Deconstruct discourse reconstructs a legitimate society and calls for a lifelong education. The role was the possession, accumulation, and utilization of erudition assets. Erudition assets that enable tangible and intangible assets needed in a future aging society are key to recognizing human beings’ instinct for erudition, gaining meaningfulness and significance knowledge, and having reformatting, inter-experience, and healing capacities for the integrity of the society. The study also revealed that lifelong education in the future aging society should be conducted on the basis, such as lifelong, life-wide, and life-deep, and a basis for the quality, grain, and color of life.
Use Of Web Technologies In Creating Parallax Effect

Today, HTML ( Hyper Text Markup Language) and CSS( Cascading Style Sheets) web technology codes form the basic of Internet websites. The development of web pages through these web technologies is becoming more complex. Therefore, web developers are using new technologies to create web pages. Today, websites use many fonts, buttons, sliders and various effects to attract the attention and attention of users. In addition, the creation pf three- dimensional grpahic elements on webb pages and their visualization is widely practiced. It has been satisfying the interest and attention demands of users to today’s modern sites.
Development of new models for vision-based human activity recognition

Justification The main goal of the action recognition field is to give computers the ability to recognize human actions in real life videos. The performance of applications, such as surveillance systems and human-computer interaction , mainly depend on the accuracy of human activity recognition systems.Human action recognition is still an open challenging problem in computer vision community. Several methods have been proposed to improve the performance of human action recognition in uncontrolled videos. Bag of words (BOW) based on a set of low level features, such as the histograms of optical flow (HOF), histograms of oriented gradients (HOG) and motion boundary histograms (MBH) have become very common video representations for action recognition .These models are insensitive to the position and orientation of the objects in the image. In addition, they have fixed length vectors independently of the number of objects and number of frames in each video. Moreover, they have a poor localization of the objects and actions in the videos. The use of local information can be very useful to improve the recognition rate .Constructing robust models to recognize free-form activities of the same class is still an open problem One of the sources of misclassification is the wide margin of variation inside the same class. Other sources can be the change in viewpoint, scale and background clutter. In addition, there are other high level unmeasurable factors that can play a role in human action recognition, such as human-objects interaction, human poses and scene context. Main Approaches Indeed, most of the development in the action recognition area over the last years has been related to Ł three approaches: - The first approach is the definition of local features, such as spatio-temporal features and densely sampled local visual features . We can also mention interest points, motion-based gradient descriptors and dense trajectories .- The second approach is concentrated on the exploration of encoding methods, which has a long history of success in the object recognition field. A good example is Fisher vectors .- The third approach is related to the exploration of using deep learning models. Thesis objectives The main objectives of this thesis are: 1. To address the analysis of human activities and develop suitable machine learning methods. We consider models usually applied in this research area to analyze streams of video data.2. Unfortunately, the lack of widely good data sets for activity recognition limits the possibility of comparing different machine learning models in this field.On the other hand, such a comparison is very important since it would help researchers to choose the most appropriate models in the different applications of human activity recognition. To that end, we extend the analysis of the existing models with different data sources, and we exploit the knowledge resulting from other fields such as semantic segmentation.3. To use deep learning models to perform the body part segmentation task in order to obtain a completely abstracted recognition system.
Implementation of Supply Chain Management in Managing Vehicle Spare Parts Using CodeIgniter Framework

Company Z is a business entity engaged in the distribution of motorcycle parts in partnership with local shops in the supply chain. The process of recording parts distribution services, service returns and report services is still done manually. So this process is quite vulnerable to data loss that has been recorded. Therefore, a more effective and efficient recording system is needed. The system will be designed using the concept of Supply Chain Management which includes the process of purchasing goods, selling goods, managing suppliers, returning goods and managing reports. In this study the authors used a descriptive qualitative research method with interview, observation and document collection data collection techniques. The system is designed using a codeigniter framework and uses a MySQL database. The system that has been designed can provide solutions in recording the purchase, sales, management, product returns, and report management services that have been carried out based on the website so that it becomes more effective and efficient.
The Cyber Security Challenges: A Survey of Chief Information Security Officer in Indian Context

Over the last few years, India has witnessed an exponential increase in cybercrime. In 2017, India ranked third after US and China as the most vulnerable country in terms of risk of cyber-attacks. As data thefts have increased by over 700% from 2016 to 2017, the average cost of a data breach has reached USD 1.7 million. With new regulatory compliance requirements such as GDPR, the Boards and executives are increasingly being held accountable for management of cyber security risk. The goal of this paper is to introduce cyber security and its importance, work done in this areas, cyber security technologies, and challenges. A key finding of this research is that despite significant investments in training and awareness-building, employees still end-up clicking on malicious emails and sharing sensitive information on insecure websites. Indeed, careless and malicious employees account for a vast majority of data breaches in companies. There is a critical need to focus on the “human” element of cyber-security to enhance cyber-resilience. This paper would help to understand survey result and data security challenges faced by Indian companies.