Reviewerly/exHarmony huggingface dataset:
The Effect of Principal Support on Group-Level Teacher Expectations through Mediation of Professional Learning Community and Collective Responsibility

학교에서 교사의 교육적 기대는 학생의 교육적 성공이나 학업성취에 중요한 역할을 하는 것으로알려져 왔다. 하지만, 최근까지 우리나라의 경우 학교조직 수준 변인들이 집단차원의 교사기대 형성과 어떠한 구조적 관계를 가지고 영향을 미치는지에 대한 실증연구는 없었다. 이러한 맥락에서 본 연구는 국내 174개 일반계 고등학교에 근무하는 1,747명의 교사 서베이를 활용하여 교장지원, 전문적학습공동체 및 집단책무성 변인이 집단차원의 교사기대와 어떠한 구조적 관계를 가지는지를 검증하였다. 분석 결과에 따르면, 우리나라 고등학교 교사들의 학생들에 대한 교사기대는 교장지원에 의해 직접적인 영향을 받기보다는 전문학습공동체나 집단책무성이라는 학교조직풍토를 통해서 간접적 영향을 받는다는 사실을 확인하였다. 즉, 교장지원은 전문학습공동체 풍토 또는 집단책무성 풍토를 통해서 간접적으로만 교사기대에 영향을 미치는 것으로 나타났다. 본 연구결과는 교사의 학생에 대한 교육적 기대를 형성하고 촉진하기 위해서는 학교장이 긍정적인 학교조직풍토 조성과 같은 간접적 개입과 지원에 초점을 두는 것이 보다 더 중요하다는 점을 제언한다.Teacher expectations are important for students academic achievement or success in schooling. However, there is a paucity of empirical research to examine how school-level variables have a structural influence on teacher expectations, particularly group-level teacher expectations. In this vein, this study examined how principal support, professional learning community, and collective responsibility have a structural relationship with group-level teacher expectations by using a structural equation modeling. The participation of this study was 1,747 subject(Korean, English, and Math) teachers working in 174 general high schools. Based on the result of the study, we found that principal support had only indirect positive effects on shaping group-level teacher expectations through professional learning community and collective responsibility. Namely, the direct effect between principal support and group-level teacher expectations was not statistically significant. As a policy implication, we suggest that school principals should make an effort to create a positive school climate or an indirect intervention in order to effectively promote and shape the educational expectations of teachers.
Web Services Tagging Method Based on Weighted Textual Matrix Factorization

Web services are important technique basis of the Service-oriented Architecture. Services discovery is the prior to use the services which are published on the internet accurately. Tagging technique is widely used to assist the searching of service currently. To solve the time-consuming and error-prone problem in manual tagging, we propose a novel automatic approach to tag web services in this paper. There are two steps consisting of WSDL (Web Services Description Language) documents extracting and tag recommendation using the weighted textual matrix factorization. Experiments on real dataset are conducted and the results prove that our approach is effective.
The Implication of Statistical Analysis and Feature Engineering for Model Building Using Machine Learning Algorithms

Scrutiny for presage is the era of advance statistics where accuracy matter the most.Commensurate between algorithms with statistical implementation provides better consequence in terms of accurate prediction by using data sets.Prolific usage of algorithms lead towards the simplification of mathematical models, which provide less manual calculations.Presage is the essence of data science and machine learning requisitions that impart control over situations.Implementation of any dogmas require proper feature extraction which helps in the proper model building that assist in precision.This paper is predominantly based on different statistical analysis which includes correlation significance and proper categorical data distribution using feature engineering technique that unravel accuracy of different models of machine learning algorithms.
ECONOMIC EVOLUTIONS IN ROMANIA AND THE RELATIONSHIP WITH THE WORLD BANK

The World Bank is known as being a reliable partner for Romania’s sustainable economic development. The World Bank supports the public authorities in prioritizing and implementation of investment projects focusing on education, health and other important areas for the human resources. In order to maximize the efficiency of using financial resources, the World Bank demands Romania to prove that it builds essential institutional capacity or deepens private markets and in this paper we aim to emphasize this conditions, the main economic evolutions in Romania, the objectives of  the last partnership between Romania and the Wolrd Bank and the ways of fulfillment along with the importance of the relationship between the two partners through the prism of the confidence it gives the foreign investors
An Urban Transportation Sustainable Development Evaluation Method Based on Multidimensional Cloud Model

Establishing a sound evaluation model is the key to guiding the sustainable development of urban transportation systems. Considering the diversity of the evaluation indicators and the ambiguity of the evaluation process, a new comprehensive evaluation method based on a multi-dimensional cloud model is proposed. First, a four-layer tower index system is established based on the TISP framework. Then, combining the numerical characteristics of cloud models related to the index system with the weights determined by AHP, multi-dimensional cloud models corresponding to each evaluation level are generated. The comprehensive determination degree belonging to each level can be obtained by inputting the actual data, and the assessment level is determined according to the principle of maximum certainty. Finally, an example of an urban transportation system sustainable development of Nanjing is given to verify the effectiveness and rationality of the method.
A Healthcare Decision Support System to Overcome Therapeutic Centres Challenges

The well-being of a person has been increasingly valued in the present, whether this is related to motor, physical or even psychological development. To help the correct evolution of these main areas there are clinics or therapeutic centres that offer interventions in several areas such as speech therapy, occupational therapy, psychology, psychomotricity, among others. This type of intervention may be performed during a short period of life or even permanently. In both cases it may be important a constant communication between the different professionals in order to provide a harmonious development of the person. This article aims to develop a decision support system for dealing with the time scheduling problem. In addiction, it allows the sharing of information of a patient by the different professionals that are involved. Indeed, there is a promotion of a save sharing environment which leads to global positive results. Due to this type of data, ethical issues and data safety are also considered.
IMPLEMENTASI JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI FREKUENSI RESONANSI ANTENA MIKROSTRIP

The resonant frequency of an antenna is determined by the dimensional parameters and permittivity of the antenna substrate. Generally, to get the resonant frequency, a complex mathematical formula is needed to solve. For this reason, an intelligent method is offered to determine the resonant frequency more easily. In this study, an artificial neural network method with Backpropagation algorithm is used to overcome the problem. The data used were consisting of 80 training data and 15 testing data. The results have shown that the artificial neural network learning method with the backpropagation algorithm was successfully utilized to calculate the resonant frequency of microstrip antennas, where the precision of the resonant frequency obtained of 93.33% at an error of = 1%, and 100% at an error of = 2%.
THE MASS MEDIA INFLUENCE ON THE RECIPIENT`S DECISION-MAKING

The article is about peculiarities of people`s perception of mass information, broadcasted by modern media sources. Certain issues of the transformation of the modern system of mass communication were considered. Features of mass information traffic through the network were described. Peculiarities of the submission and perception of the mass media are also grounded in terms of the mass communicative process itself, - through probabilistic synergy of various models of mass communication. Particular attention is paid to the two-step flow of communication model, introduced by Paul Lazarsfeld. His inferences regarding the fact that the information received through personal channels is different compared to the information, received through mass communication sources, are relevant in the terms of social media impact issues.
Adapting God Class thresholds for software defect prediction: A case study

In software engineering there is an active research field of defect prediction using software metrics. While the research shows that the prediction of defects using software metrics performs well, prediction using metrics alone lacks clear refactoring capabilities. On the other hand, code smells have the ability to describe the code anomalies precisely, and suggest their refactoring. Therefore, code smells can be a much better starting position for software fault prediction.In this paper, we present the results of preliminary research on the ability to predict software defects with the code smell God Class. The aim of our research was to test the definition of God Class, as defined by Lanza and Marinescu in 2006, in the ability to predict defects in a case study of the open source projects JDT and PDE within the Eclipse framework. The definition of the God Class was adapted using the grid search technique, with the goal of maximizing the fault prediction ability while keeping the base of the original definition. The results show that adaption of the definition in the specific project resulted in improved fault prediction ability.
Introduction to Bayesian Statistics, Third Edition. By William M.Bolstad and James M.CurranHoboken, New Jersey: John Wiley and Sons. 2017. 601+xvi pages. AUD $219.95 (hardback). ISBN 9781118091562

We review techniques from computer science, exploiting the graph structure for exact and approximate inference in graphical models.
KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances.

This paper describes our approach to solve Semeval task 3: EmoContext; where, given a textual dialogue, i.e., a user utterance along with two turns of context, we have to classify the emotion associated with the utterance as one of the following emotion classes: Happy, Sad, Angry or Others.To solve this problem, we experiment with different deep learning models ranging from simple LSTM to relatively more complex attention with Bi-LSTM model.We also experiment with word embeddings such as ConceptNet along with word embeddings generated from bi-directional LSTM taking input characters.We fine tune different parameters and hyper-parameters associated with each of our model and report the micro precision, micro recall and micro F1-score for each model.We identify the Bi-LSTM model, along with the input word embedding taken as the concatenation of the embeddings generated from the bidirectional character LSTM and ConceptNet embedding, as the best performing model with a highest micro-F1 score over the test set as 0.7261.
Aplikasi Absensi Siswa Berbasiskan Android

The recording of student attendance aims to monitor the student attendance quantity and educate students to be disciplined. Student attendance records that are currently done manually on the paper can be improved to increase the quality of the attendance data processing, service quality and system in the School. This study aims to build an Attendance application based on Android platform that can be used on the teacher's mobile device. Waterfall is the method which is used to develop the attendance application in this study. Then, to ensure the application performance, the attendance application will be tested by the blackbox testing method. The test results using the blackbox testing show that the features in the attendance application perform according to its purpose. This attendance application can facilitate the homeroom teacher to carry out the student attendance recording process daily and to create the student attendance data recapitulation.
Results analysis of the regional research competition for secondary school students using information and communications technology

The article deals with specific issues relating to the implementation of one of the priority directions of state policy of Russia is to work with gifted young people. The highly structured system of activities helped identify and develop gifted young people in science, engineering and technology and innovation development of the Samara region and allowed to define tasks and directions of the contests of students research projects in the competition "Vzlet".The article analyzes the results of the regional research competition held for the past 3 years in the Samara region for gifted secondary school students. The key quantitative indicators which may lead to further qualitative analysis were presented, specifically, the total number of participants, the number of submitted projects in different research areas, project advisors, participating educational organizations, and winning projects. In addition, the rates of those who started the competition and those who successfully completed it were analyzed. The articles offers conclusions and discusses future directions for the competition.
LibGuides: NHLI FUTURE LEARNING PATHWAYS: Schools in Network

FUTURE LEARNING PATHWAY DEVELOPMENT: PLACING STUDENTS AT THE CENTER AND INSPIRING HOPE FOR THE FUTURE.
Accurate prediction of liquid-solid fluidized bed porosity in drinking water treatment processes using empirical data-driven genetic programming models

For an accurate prediction of the porosity of a liquid-solid homogenous fluidized bed, various empirical prediction models have been developed. Symbolic regression machine learning techniques are suitable for analyzing experimental fluidization data to produce empirical expressions for porosity as a function not only of fluid velocity and viscosity but also of particle size and shape. On the basis of this porosity, it becomes possible to calculate the specific surface area for reactions for seeded crystallization in a fluidized bed.
GSU Library Research Guides: Network Analysis: Summary Statistics

This guide provides information about ego and full network analysis and houses Network Analysis Workshop 1 and Network Analysis Workshop 2 materials. Point and click as well as code to generate summary statistics
Virtual Information Services in Academic Libraries in Kuwait

The purpose of this study is to examine the status and prospect of virtual information services in academic libraries in Kuwait.The study conducted open-ended interviews of managers or heads of information services in 12 academic libraries about management and conduct of virtual information service and the possibilities about the future of these services.Also observed the functioning of services in 9 libraries.It was found that email was the common method for virtual communication in academic libraries in Kuwait.These libraries lacked in services using live chat and mobile application.Social media was mostly used for announcements and marketing of library services.In addition, private academic libraries provided advanced virtual services as compared to public academic libraries.Eight interviews were conducted by phone due to unavoidable circumstances related to both participants and researcher.One private academic institution did not allow access to its library, denying opportunities for observation.This paper provides insights on the way virtual information services were managed and conducted in these libraries.No similar study was noted in this regional context.The findings may help academic library management a better understanding of the issues and challenges they faced and the opportunities they might benefit in future.
The Design , Construction of An Audiometer with Built-in Assistive Diagnostics

A low-cost Audiometer was designed and constructed for carrying out primarily, Pure Tone and Speech Audiometry. The Audiometer also included other standard subjective behavioural tests: Tone Decay, SISI (Small Increment Sensitivity Index), ABLB (Alternate Binaural Loudness Balance) Test and Stenger's. Other standard features offered were: output transducer options: Air Conduction Headphones, Bone Vibrator, and Free Field output, Contralateral Masking, Audiogram (during Pure Tone test) on instrument's LCD display, battery operation. In addition to the standard features, the Audiometer introduced two features: One, Assisted Diagnostics. It interpreted the tests conducted on a patient, based on information in the public domain, to point out which part of the auditory system may be malfunctioning ("site of lesion"). The diagnosis was suggestive rather than prescriptive, with the aim of assisting the audiologist or clinician conducting the tests. For example, in a simplest test inference, audiometer classified type of hearing loss: Mild, moderate, severe, profound or total, based on generally accepted criteria.Two, Automatic Calibration to correct for output transducer's acoustic characteristics. It was suggested that this built-in diagnostics could be made more exhaustive and reliable, using Artificial Intelligence tools.Except for PCBs designed by the authors, all components used in the project were standard, low-cost, available in the market.
Administrative leadership styles and their role in improving job satisfaction: An analytical research in Al-Sadr Medical City in Najaf, Iraq

The purpose of the research is to identify the relationship between managerial leadership styles and job satisfaction in view of the styles stipulated by the Management Network theory.These styles are Team Management style, Club Management style, Middle of the Road Management style, Authority-Compliance style and Impoverished style, using a set of criteria for measuring job satisfaction, among which are satisfaction with work, wages, promotion, the team, and the leader.The research problem is focused on identifying which type of leadership styles is dominant and their impact on improving job satisfaction.Random sample of 300 employees out of 700 employees working in the hospital, namely Al-Sadr Medical City, were involved in the questionnaire.Only 259 questionnaire forms were collected and analyzed by using (SPSS) program.The results showed a positive relationship between managerial leadership styles and job satisfaction.They showed that the prevalent style is the team management style followed by the Club style.There also appeared an inverse relationship between the Authority-Compliance style and job satisfaction.
Teachers’ Perception toward the Ministry of Religious Affairs’ English Textbook: A Case Study

This study aimed to explore how teachers perceived the use of English textbooks, including problems teachers raised about using them.The participants consisted of six teachers of English in Madrasah Aliyah Negeri Rengel, Tuban.Through classroom observations and semi-structured interviews, it was found that the pro-textbook teachers believed that without textbooks teaching could not be conducted effectively.Some of them revealed that textbooks should go hand in hand with supplementary teaching materials to serve learners' needs.On the contrary, the anti-textbook teachers believed that the use of English textbooks was wasting time.The teachers also reflected on direct and indirect problems which affected the use of English textbooks.
Adapted polarizing microscopy technique for the determination of birefringence patterns in parchments

We adapted a polarizing microscopy technique involving image processing in order to determine birefringence patterns in anisotropic biological tissues. The methodology is applied to the study of parchments’ material degradation and internal strains.
Kepuasan pemustaka Perpustakaan UIN Sunan Gunung Djati Bandung dan pengaruh word of mouth pemustaka

Library activities that are directly felt by users are services, which are considered the spearhead of libraries. Guarantee and empathy aspects of the Servqual Model and effect of service aspects on the LibQual + TM model are all closely related to one of the factors, namely librarian language skills, both verbal and non-verbal. Moreover, users who have used these services can be effective promotional tools to affect other users through Word of Mouth (WOM) promotion. WOM in an Islamic perspective can mean ‘da'wah’, an invitation to do good. This study aimed to examine perceptions of satisfaction with the librarian language skills and their relationship with WOM among UIN Sunan Gunung Djati Library users. Librarian language skills are divided into two categories, namely verbal and non-verbal. Verbal aspects consist of vocal parameters, word selection, sentence structure, and convenience aspects to be understood. Non-verbal aspects include gesture parameters, body position, tone, and intonation. The research method used survey method with a total sample of 400 users. Determination of the number of samples was performed by Slovin method and selected by accidental sampling technique. Results showed, Consumer Satisfaction Index (CSI) for verbal communication was 3.325, and non-verbal communication was 3.253. Both were in the "moderate" satisfaction range on a scale of 5. More than 22% of satisfied and very satisfied users stated that their satisfaction would continue with various WOM activities to invite others to visit the library. This shows the influence of satisfaction with WOM activities, although still on a small scale.
Coding fault-tolerant quantum computing

Quantum ComputingRecent advances in creating quantum processors comprising several tens of qubits bring the era of quantum advantage tantalizingly close. Reaching that point, however, will require quantum processors that are scalable and fault tolerant. With the underlying architectures of these processors based on superconducting qubits laid out in a two-dimensional array, so-called surface codes are being developed that enable a robust error-correction capability due to the collective behavior of several qubits. Li et al. describe compass codes, a generalized version of surface codes, that can deal various kinds of noise affecting the processor. A compass code can be engineered to correct for specific types of noise and thus provides a general route to fault-tolerant quantum processors.Phys. Rev. X 9 , 021041 (2019).
STUDENTS’ PERCEPTION ON LECTURER-STUDENT INTERACTION IN ENGLISH AS FOREIGN LANGUAGE (EFL) CLASSROOM

Interaction is communication that happens through more than two people for getting the information, and the interaction is the way for the lecturer in the teaching-learning process in the classroom. Interaction involves all participants in the classroom which are lecturer and students. This study aims to know students’ perception of lecturer-students in EFL classroom interaction at the fourth-semester students of the English department at STKIP Bina Bangsa Getsempena Banda Aceh. This study used a questionnaire to get the data and used a descriptive qualitative design to analyze data. The data were collected by giving a set of a questionnaire (20 questions). The result of this research based on the students’ perception is described the teaching-learning process in the classroom was good enough and the students feel comfortable and surely they like lecturer’s teaching method. The classroom interaction in the EFL classroom is good because the lecturer used not only English but also Indonesia to stimulate the students in understanding what the lecturer explained. Keywords: Perception, Interaction, EFL