Reviewerly/exHarmony huggingface dataset:
IDENTIFYING FACTORS INFLUENCING SCHOOL LEADERSHIP PRACTICES: CASE STUDY OF LATVIA

Based on the analysis of research literature and empirical data, the study aims to identify significant factors affecting school leadership practices in Latvia. In addition to studies of scientific literature, the authors used qualitative research methods – in-depth interviews with 7 school leadership teams of the same municipality and expert focus group discussion to describe the influencing factors that are relevenat in the context of Latvia. As a result of the study, the authors identified that school leaders’ work experience, beliefs and mental models, social skills and impact of the external parties have an influence on their practices.
Decentralized Autonomous Organizations (DAOs) as Subjects of Law – the Recognition of DAOs in the Swiss Legal Order

Building on the architecture of smart contracts, new forms of entities similar to companies are now emerging from the blockchain environment, called Decentralized Autonomous Organizations (DAOs). DAOs let participants manage resources in a decentralized manner through predefined governance rules inscribed on a series of smart contracts deployed on a blockchain.Taking the Swiss legal order as a framework, the author has attempted to determine whether the activities of a DAO have legal effects in Switzerland. The answer to this question depends on their recognition in the Swiss legal order. While the recognition of foreign DAOs governed by the laws of a State does not raise particular legal issues, DAOs that live on the Internet independently from any jurisdiction upset existing legal principles, which generates legal uncertainty.Legal scholars have traditionally dealt with the issue of the recognition of DAOs by attempting to transform them into known legal concepts, either as a form of company of Swiss substantive law, or as a set of contractual relationships. The author suggests that DAOs should instead be recognized as foreign companies through private international law. This preferred pathway could possibly let DAOs exist in their present construct, while recognizing their legal effects within the Swiss legal order.However, a strict interpretation of the private international law Act (PILA) leads to a dead-end for a majority of DAOs as, under the law, a company must be validly constituted under the law of the State it is governed by in order to exist in Switzerland. Building on the functional equivalence theory, the author introduces the concept of an online jurisdiction ruled by its code as a means to grant legal existence to DAOs living exclusively on the Internet. This new legal construct recognizes the code of a DAO as its governing law and the online space as its jurisdiction. As such, DAOs could be recognized in Switzerland as foreign companies and be subjects of rights and obligations.
LibGuides: How to Request Materials Through Interlibrary Loan: Interlibrary Loan

This guide will walk you through how to request materials, free to you, through Interlibrary Loan!
Deteksi Objek Nomor Kendaraan Pada Citra Kendaraan Bermotor

Motor vehicle police numbers recognation is one of the most important topics in the processof building a smart transportation system. Also this concept and introduction system will bevery useful in various combinations of applications, including in monitoring vehicles when acrime occurs. In this research an object recognition model will be developed by reviewing thesize of the object vertically. Image processing stages starting from the stages of image sizechange, image grayscale, edge detection, morphological operations to the segmentation stage.Based on tests conducted, it was found that the implemented model can be used in the processof recognizing vehicle numbers in the image of motorized vehicles
Learning to Write Poetry Based on Social Environment for High School Students

Writing Poetry is one of the basic competencies that must be mastered by students in high school. Writing poetry is also an effort to encourage literacy movements, especially literacy program in schools. To increase students’ interest in writing poetry, innovation is needed in the learning process. One of them is by using an interesting learning method by utilizing the social environment. This writing is an idea that discusses the learning method of case study based on the social environment as an alternative for students in writing poetry. The discussion in this paper includes (1) steps to implement a case study method based on social environment in learning to write poetry and (2) steps to write poetry based on the social environment by applying case study method.&#x0D; Keywords: Learning to Write Poetry, Case Study, Social Environment
HUMAN POSTURE DETECTION SYSTEM USING REAL TIME SELF CALIBRATING ALGORITHM

In order to detect and correct the posture we developed a wearable garment integrated device to sense the posture of the user and analyze the posture within the device to alert the user remotely. Further the posture data are sends to the server to analyze the data in detail. Device contains the accelerometer sensor to detect the angle of the user. From the angle the posture is calculated using the microcontroller in the device. The posture is analyzed and if bad posture is detected then the buzzer sensor present in the device alert the user to correct the posture. The bad posture data are sends to server through the wifi module present in the device. The data are stored in the database along with time, date and device id. The month wise statistical graph is developed from the data in the database. Daily analyzes of the posture data is done to provide the average posture of the user and worst posture of the user. The report of the analyzed data can be generated in the website through user authentication.
Valoración de los Alumnos sobre la Utilidad de YouTube en el Campo Educativo por Medio de la Ciencia de Datos y el Aprendizaje Automático

This quantitative survey analyzes students' perceptions of the usefulness of YouTube in Education through scientific data.The sample consists of 108 students from the Degree in Business Administration, Computer Science, Accounting, Commerce and Marketing who completed semesters 1, 2, 3 and 4 at a Mexican university during the 2017 academic year.The results of the machine learning (linear regression) indicate that YouTube as a means of communication and interaction facilitates the educational process.The decision tree technique allows to identify nine predictive models about the use of YouTube for the search, selection and storage of audiovisual content.In addition, the use of YouTube in school activities favors the active role of the student.Finally, YouTube as a means of communication and interaction improves teaching and learning conditions.
Automated Attendance Marking Using Face Recognition

This paper describes the machine learning approach for face recognition which is capable of processing images efficiently and quickly achieving high detection rates. The project is described in three stage stages of processing. The first is the introduction of new images to the machine which is called the “Integral image”, which helps the detection program to detect images quickly and efficiently. The second stage is where the captured images are made learn using the algorithm, based on Ada boost which uses and selects the visual classifiers from the data’s and yields efficient classifier. The third stage is where the image classifiers are made effective as “cascade” which helps to remove the background images which are not required .The Eigen face algorithm detects and remove unwanted pixels from the image using the HAAR method of classification. In this domain of facial recognition which provides effective detection and comparison rates than other strategies for attendance marking .The project is implemented using the raspberry-pi and their respective camera module components of raspberry-pi, which has a frame rate of fifteen frames per second.
THE FUNCTIONING OF MEMORY AS THE BASIS OF LITERARY CREATION

The aim of the study is broadening the scientific understanding and also changing the traditional research paradigm regarding role of memory in the process of literary creativity. The article attempts to summarize the main results of an experimental study of regulatory memory in the process of literary creativity of preteens. Regulatory functions are defined as a specific aspect of memory manifestation, which is the construction and regulation of activities performed, as opposed to the cognitive functions that provide for storing, transforming, preserving and updating information in the form of reproduction and recognition, which forms the traditional aspect of studying memory. It is established that the regulatory functions in the process of literary creativity is to organize the structural components of this process. The specifics of memory functioning in the structure of the author's and readers' literary creation of schoolchildren are analyzed. As the ways of activating the literary creativity are determined the formation of skills of processing verbal information with a mnemonic purpose, mastering algorithms of logical operations, enriching the active vocabulary, assimilation of the structure of texts of different types. The study provides a theoretical and methodological basis for creating of new development programs for children of all ages.
Functions and mechanisms in linguistic research —Lessons from speech prosody

Human speech, as a collection of complex phenomena, can be explored from many different angles, and interesting data can be generated with various approaches.However, if we aim to substantially improve our understanding of speech, it is advantageous to focus on the communicative functions and the mechanisms that enable these functions.This paper uses prosodic phenomena in speech as examples to illustrate the necessity as well as potential benefits of such function-and mechanism-oriented approaches.
A DEEP DIVE INTO LOAD BALANCING TOOLS FOR HADOOP APPLICATION MANAGEMENT

Hadoop has become an important tool for the researchers and scientists in order to store and analyze huge amount of data.This huge data is placed in Hadoop with the help of Hadoop Distributed File System (HDFS).Block placement policy is employed in HDFS to split a really huge file into blocks and place these block across the cluster in an exceedingly distributed manner.Basically, Hadoop and HDFS are designed to works expeditiously on the consistent cluster.However during this era of networking, we cannot think about having solely a cluster of consistent nodes.So, there's the necessity of storage policy which will work expeditiously on each consistent still because of the heterogeneous cluster.Thus, the need of applications which will be executing in a time-efficiently manner and supporting consistent still because the heterogeneous setting will be sufficient.In Hadoop data1.MapReduce is programming framework for writing Map-Reduce applications which enables them to run on the distributed platform in parallel.MapReduce permits the applications to run on Hadoop environment.Hadoop uses HDFS block placement policy to place the data blocks on nodes.Hadoop cluster gets unbalanced every now and then, because of overutilization of few nodes against the less used nodes or recently created other new nodes with no blocks hold on them.To resolve this case, Hadoop encompasses an inherent tool known as HDFS Balancer.
EMERGING REAL TIME STREAMING ANALYTICS PROCESSING USING HADOOP FRAMEWORK

Sensors, machines, vehicles, cell phones, webbased social networking systems and other constant sources are creating persistent stream of information. This information is utilized by the organizations to get the advantage from those information. A real time streaming system should address the issues of researchers, developers and records focus activities groups without requiring complex code for incorporation of numerous outsider tools. As there is increment in measure of information that is produced and gathered, statistical analysis wants adaptable, flexible, and high performance tool to analyze and obtain only the necessary data from the large growing data in a required timely manner. Hadoop Distributed File System (HDFS) is one of the file system to store huge measure of information. HDFS can oversee and keep up information in a dispersed manner. Real Time Streaming data can be put away into noSQl databases, for example, Mongo DB and Hive. Enormous information investigation can be performed on information put away on Hadoop distributed file system utilizing Apache Hive, Tez , Storm, Flume and Apache Presto. Hive is a environment which is over Hadoop (Map Reduce), and gives more significant level language to apply to the Hadoop's fundamental part Map Reduce to process the information. The key focal points of this methodology are it can equipped for processing and saving of the enormous measure of information. It additionally can adapt to the a large number of client demands at the same time. It can give the scalability to the machine is increasingly attractive with the guide of including new nodes. Incorporating the Visualization equipment with Big Data projects will give the gigantic picture to the clients to see the bits of knowledge of the Big data. It can offer the analytical reports for giving the big view about the file system..
DT at Springfield State University Institute

This chapter looks at Digital Transformation from the point of view of a university. The current situation of the organisation is described, along with the results of a study by consultants. Weak points and opportunities for improvement are mentioned. The need for change, and the resulting digital journey are outlined. Then the Digital Transformation Strategy is addressed. The proposed four-step approach is described.
COOPERATIVE INTEGRATIF READING AND COMPOSITION (CIRC) METHOD TO INCREASE STUDENTS’ READING FOR COMPREHENSION ABILITY (Experimental study on students of Class XI IPA SMA Negeri 1 Anyer Academic Year 2018/2019

Reading for comprehension (dokkai) is important in Japanese language learning, considering that it is still  difficult  for  students  to  understand  Japanese  reading  texts.  The  purpose  of  this  study  was  to determine the effectiveness of learning using the CIRC learning method with those without using the CIRC method, the ability to read for comprehension without using the CIRC method, the difference in reading skills using the CIRC method and those who did not, and the response and quality of the CIRC method according to students' opinions in Dokkai learning . In connection with the problem that will be raised  namely  about  CIRC  Learning  Method  on  students'  reading  for  comprehension  at  SMAN  1 Anyer, the type of research used is a type of pure experimental research. To analyze the data using the pretest posttest Group Design control formula. The sample of this study was the grade XI students of SMAN 1 Anyer in the 2018/2019 Academic Year. The instruments used were test and questionnaire. Based on the results of the study, it was obtained that the final reading for comprehension ability of students who used the CIRC method was higher than students who did not use the CIRC method. Keywords: Cooperatif Integrated Reading and Composition
The Acquisition of the Linguistic Phenomenon at the Interface between Syntax and Discourse-Pragmatics/Semantics by Korean Learners of Spanish

The purpose of this study was to examine the validity of Sorace (2011)’s Interface Hypothesis by testing L1 Korean-L2 Spanish Learners over three different interface properties -the internal interface between syntax and semantics and the external interface between syntax and discourse-pragmatics. A total of 45 university students, divided into three proficiency levels, participated in a grammaticality and/or acceptability judgment test. The test questions dealt with three interface-related phenomena: a) word order variance of two types of intransitive verbs according to focus types, b) pronominal subjects according to topic/focus interpretation, and c) clitic-doubling of the utterance-initial (in)definite objects according to information structure. The SPSS statistics was used for data analysis. The findings of data analysis showed that 1) the more advanced the learners were, the fewer errors were made, and 2) in most cases, the learners seemed to acquire internally interface-related phenomena earlier than externally interface-related phenomena, but not all. The results of this study offer partially positive evidence in favor of the Interface Hypothesis proposed by Sorace and her colleagues.
Analysis of Semilogarithmic Companding Quantization

In this paper, an analysis of semilogarithmic companding quantization of amplitudes having the Laplacian probability density function is performed. Particular attention is focused on studying quantizer robustness on changes in amplitude variance. In order to achieve better robustness of the quantizer in question, a method for its design is proposed, which provides the approximately equal quality of the quantized signal at the boundaries of the predefined variance range. The presented analysis and the obtained results can be useful in digital processing of speech and other non-stationary signals having wide amplitude dynamics.
Stick-Slip Vibrations in Violin Strings

The vibrations of a bowed violin string have been studied since the 19th century. The string was found to oscillate in a simple triangular pattern described by Helmholtz. Today these vibrations are known as stick and slip vibrations caused by friction and have been studied by many researchers. Stick-slip vibrations are self-sustained oscillations induced by dry friction. The theoretical analysis of stick-slip vibrations was solved by Cellular Automaton Method during prior research. However, it is not solved by Modal Analysis Method. In this research, stick-slip vibration is solved by Modal Analysis Method. At the time of slip, as a result of the simulation, it was possible to obtain results by Modal Analysis Method which is reasonable compared with Cellular Automaton Method and at the time of stick, it was possible to obtain reasonable calculation results only for displacement.
Teacher Evaluation Based on E-Teaching Portfolio—Developing Trend of Teacher Evaluation in China

in recent years, e-teaching portfolio assessment is a new mode of teacher evaluation based on computer technology and new media technology.This paper attempts to provide reference for development of Chinese teacher evaluation by analyzing global teacher evaluation practices and connotation of e-teaching portfolio assessment.
An Ontology Based Framework for Automatic Web Resources Identification

Search engines' capabilities are improved continually for enhancing the retrieved results and satisfying users' needs.Despite the great efforts in the information retrieval field, the user spends long time in changing the search keywords; though the retrieved results may be out of user's expectation.This may be due to the huge number of web resources, the lack of search keywords for specific domains, and the gap between the user and author in specific domain.This paper proposes a model for improving the search engines capabilities through adding level of awareness to the web resources.The model targets the human view about web resources in addition to author perception.This is through automatically extraction of the user's perceptions and mapping them to the resources' based on semantic aspects.The experimental studies realized 36% precision improvement compared to other search engines, and user satisfaction was up to 92%.
Cybersecurity Across All Disciplines in 2020

We need to greatly expand the number of students studying cybersecurity in order to meet the increasing demand for security professionals. As a community, we can use our expertise and alliances with other fields to create interdisciplinary courses and modules to attract diverse students into cybersecurity. For example, Liberal Arts Colleges have a strong core general education curriculum that can be enhanced with cybersecurity concepts. On one hand, students from non-CS majors are important for the cybersecurity workforce as they will be shaping the policies and business processes that affect cybersecurity decisions. On the other hand, well rounded CS students that take interdisciplinary security courses and CS1 will be able to apply the concepts and solve today's complex security problems. This BoF will explore ideas for integrating the technical content of cybersecurity with political science, business, law, psychology, philosophy, international affairs, and others. Participants from colleges, universities and K-12 will be able to co-create plans for these interdisciplinary experiences.
The Researches Detection Method of Illegal Parking Based on Convolutional Neural Network

Violation of parking is a legal term.Our country's law stipulates that there should be no-stop signs and markings, road sections with isolation facilities between motor vehicles and non-motor vehicle lanes and sidewalks, and crosswalks and construction sites.No parking; Railway crossings, sharp bends, narrow roads with widths less than 4 meters, bridges, steep slopes, tunnels, and sections within 50 meters of the above locations are not allowed to stop.In recent years, urban management is gradually developing towards information There are corresponding treatment mechanisms for illegal parking in urban management, but the method of detecting illegal parking based on machine vision is still under study.This paper takes a street in Hebei Province as the research object, and studies the illegal parking under the surveillance image.It also proposes to use the machine vision-based method to automatically detect the illegal parking.In the monitoring image, according to the street view image information detected by the computer, A status assessment of the vehicle placement can be achieved.The detection algorithm in this paper uses the multi-angle suggestion area to accurately locate the offending vehicles in the image and mark them on the detected vehicles.The experimental data shows that the algorithm has good adaptability to the detection of illegal parking in surveillance images, and effectively improves the inspection efficiency.
Study on Application Case of Scrum Methodology using Visibility

Viewed in the rate of change in the web environment, it is very difficult to remain the initial planning at the time until the time of launch, and there is a need for a method to accommodate changes and satisfy market demands during the development process. Unlike the traditional waterfall approach of maintaining initial planning, scrum is one of the agile methodologies that enables flexibility to respond to changes in the market and customers' needs and drive customer satisfaction and business success. However, to apply the scrum to a project in actual, the practice method itself is relatively simple but not easy to apply. The reason is that the members of the organization need to understand and participate in scrum's philosophy and principles and the continuous observation and change management should be carried out. Therefore, in this paper, we presented the feature dashboard and customized scrum methodology to enable continuous observation and change management using visibility, and we shared the case that periodically reflected inspection and adaptation with the explanation of the main points. Also, based on the experience with participants, the strengths and weakness of the feature dashboard and the customized scrum methodology are summarized.