Reviewerly/exHarmony huggingface dataset:
Brain System Influences on Teaching-learning Process

This research shows how the brain system influences the teaching-learning process and the stimuli, that must has applied in the classroom to generate significant learning in the students, the methodology used was the bibliographic review in which some criteria have referenced. The contributions of authors, the inductive and deductive since the criteria of the cited authors have analyzed, the objective of the work was to demonstrate the incidence of the correct functioning of the brain in the educational process.
Indigenous Student’s Perception on Multimedia Learning as an Approach in Enhancing Reading Comprehension Skills

Reading comprehension is one of the language skills needed in processing the language, especially in comprehending information. Despite its importance, many of the students failed to perform comprehension skills well. Some of the reason was their lack of language proficiency and unsuitable approaches used by the teachers. Technology has been in favours among teachers and students in teaching practices, especially the use of multimedia because it has proven to help them in learning the language. Thus, this study aimed to find out indigenous students’ perception of multimedia learning as an approach to enhancing their reading comprehension skills. Besides that, the alluring features of multimedia learning have ignited the need to explore its potential in helping indigenous students learn comprehension skills better. This study relied heavily on the questionnaire to obtain comprehensive data from the students. The surveys employed four sections that covered attention, motivation, relevance, and satisfaction. The findings showed the students agreed that multimedia learning is the right approach in enhancing their reading comprehension skills. Despite that, some of the students disagree with the use of audio elements in multimedia learning as it hinders the learning process.
LibGuides: Knowledge Organization and Metadata Services: Home

Outlines the mission and responsibilities of the department and provides access to the tools used to accomplish this work.
Toward automatic web service composition based on multilevel workflow orchestration and semantic web service discovery

Revolutionary development of service oriented architecture (SOA) fosters the integration of software components from different distributed platforms and facilitates modelling of web service composition. However, the existing four-stage framework used for automatic web service composition (AWSC), which has drawbacks and incompleteness in terms of dynamic change of user goals, adopting the functional properties for describing the behaviour of candidate services and implementing unified composition framework. To overcome these drawbacks, we propose a framework for automatic and dynamic service composition that requires adding advances of semantics to web services and modifying the existing four-stage framework. We provide a multilevel workflow orchestration using an enhanced five stage composition framework for achieving the dynamic change of user requests and scalability for automatic composition. This proposed framework can able to handle both functional and non-functional requirements through transformation techniques for providing a feasible composition solution. Furthermore, it provides a solution for the problem of discovering and selecting the most suitable service candidates using semantic web service discovery (SWSD) mechanism.
Estimating Learner’s Confidence Level for Multiple choice Questions Using the Penalized Regression Method

E-learning has been adopted by several companies for qualification acquisition.In e-learning, multiple choice questions are often used, and learners are required to choose answers that seem correct to them.Reviews are indispensable to address inconsistencies and shortcomings in knowledge; therefore, questions that are incorrectly answered are mainly extracted for review.However, among correctly answered questions, there may be some that the learner chose without confidence; these questions should also be extracted for review.In this study, we propose a method that can estimate the confidence level when a learner chooses answers for multiple choice questions by applying penalized regression to the learner's biosignals.In the proposed method, the following biosignals are measured from the learner for each problem: thinking time, operation time, transition distance of the gaze, maximum inclination angle and movement distance of the head, appearance rate of four brain waves, standard deviation of the RR interval, and root mean square of the difference between adjacent RR intervals.Feature values are calculated by the biosignals, and the confidence level is estimated by applying the feature values to the penalized regression.We conducted an experiment with six subjects to evaluate the method.They answered 29 multiple choice questions and a questionnaire about the confidence level for each answer.In the experiment, we compared the correct rate for estimation among ridge regression, lasso regression, and elastic net.Results show that the values of the average of correct rates are 56.90%,67.24%, and 64.95% for ridge, lasso, and elastic net, respectively.
Eye-Tracking Based L2 Detection: Universal and Specific Eye Movement Patterns in L1 and L2 Reading

The native (L1) and foreign (L2) languages a person speaks are an important constituent part of their individual profile. This study explores the potential of eye tracking as a diagnostic tool that allows to reliably identify reader non-nativeness in L1 and L2 text reading. The eye movements of native Russian-speaking students with above-average proficiency in both the languages were tracked while they were reading L1 and L2 texts. For selected measurement types such as average fixation duration, some general distributional patterns were confirmed. However, L2 reading also evidenced some distinct features compared to L1 performance, despite the readers’ high proficiency in both the languages. The distributional patterns for fixations and saccades in L1 and L2 reading can be informative to optimize adaptive thresholding algorithms of eye tracking based non-nativeness detection.
Efficacy of Panoramic Radiography Versus Clinical Evaluation as a Diagnostic Tool - A Cross Sectional Study

Background and Objectives:The commitment of the dental profession in delivering the highest quality of care to each of its individual patients and applying advancements in technology and science has been continually improving the oral health status of the population globally.Radiographs can help the dental practitioner evaluate and definitively diagnose many oral diseases, disorders and conditions.Hence the present study aims to compare the clinical features and findings with the panoramic radiographic features and the frequency to detect various occult findings which were undetected clinically.Methodology: A total of 130 patients above 10 years of age inclusive of both genders were taken as sample size.After an informed consent from all the study subjects and institutional ethical committee clearance, a thorough clinical examination was carried out under optimal illumination and recorded on a pre designed Performa.This was followed by a panoramic radiographic screening.The pathologies which were taken into consideration, clinically (C) and radiologically (R) to check for their association in the study included: •Dental caries (C 1 and R 1 )• Periodontal bone loss (C 2 and R 2 )• Condylar changes (C 3 and R 3 )• Any occult/incidental findings (C 4 and R 4 )The data was analyzed using Chi-Square test.Results: The association in above mentioned 4 groups was found to be 99% (significant p < 0.05), 94% (significant p = 0.44), 84%(significant p = 0.32) and 11% (p > 0.05 -statistically insignificant) respectively. Conclusion:Radiographs have been an important aid in guiding the dental practitioner evaluate and definitively diagnose many oral diseases and conditions.The use of panoramic radiography as an additive tool to the clinical examination in oral evaluation would enhance the global oral health thereby proving to be an essential diagnostic tool.
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Research Guides: Music Resources for Online Learning and Teaching: Home

A central guide for students and instructors featuring resources for music-specific online teaching and learning, including a compendium of streaming audio and video sites.
Application of the General Method to the Railway Domain

What knowledge of Formal Methods in the railway domain is already ‘mature’? To answer this question we must consider the most suitable sources of knowledge in our chosen domain, as well as a suitable definition of the notion of ‘settledness‘; see chapter 3.
Klasifikasi pada Tempat Tinggal Menurut Provinsi dan Jenis Kepemilikan Berdasarkan Algoritma K-Means

&lt;p&gt;&lt;em&gt;H&lt;/em&gt;&lt;em&gt;ousing is derived from the word house&lt;/em&gt;&lt;em&gt; which means&lt;/em&gt;&lt;em&gt; a place that has a place to live which will stay or stop in a certain time. Housing is a residence that has been grouped into a place that has facilities and infrastructure. The problem in this study focuses on the type of residential ownership in the form of SHM ART, SHM Non ART, NON SHM and others. &lt;/em&gt;&lt;em&gt;T&lt;/em&gt;&lt;em&gt;hese four types&lt;/em&gt;&lt;em&gt; can be used&lt;/em&gt;&lt;em&gt; to know the percentage of ownership in all provinces in Indonesia. Due to the fact that there is still a lot of information about the type of certificate ownership, there is still not much ownership. Therefore, the use of the k-Means algorithm as a data mining concept in the form of clusters, where the data already has parameters or values that fall into the category of unsupervised learning. That data produced the best. The data was obtained from published sources of the Republic of Indonesia government agency, namely the Central Statistics Agency data with the category of household processing with self-owned residential buildings purchased from developers or non-developers by province and type of ownership in 2016 throughout Indonesia. In conducting the dataset, researchers used the RapidMiner application as a clustering process application. This research &lt;/em&gt;&lt;em&gt;shows that&lt;/em&gt;&lt;em&gt; there are more types of ownership in the SHM ART, but for other values it is still smaller than the value in other types of ownership which is the second largest value. So&lt;/em&gt;&lt;em&gt;,&lt;/em&gt;&lt;em&gt; in this case, the role of government in providing assistance in the process of ownership in order to become SHM ART&lt;/em&gt;&lt;em&gt; is very important&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
Recognition and Detection of Objects from Images: An Approach using CSLBP Feature Extractor and CNN

Recognition and identification for groups are two aspects of object recognition.Class recognition aims at classifying an object into one of many predefined categories.The detection goal is to distinguish objects from the background.There are growing difficulties in identifying objects including background removal and object detection etc.In this paper, a new approach is proposed for object recognition using the CNN.For feature extraction of the input data CSLBP and LPQ were used and then concatenated.These features were then used to train the convolutional neural network.Fifteen categories from Caltech101 dataset that contains 101 categories of images are considered in this research.The results states that the model achieved higher accuracy of 99% for almost all the 15 categories of the images that were considered.Thus, it can be said that the proposed model shows the efficiency of network in recognizing the objects correctly.
LibGuides: Government Publications: News, resources, fun materials to know about

Government Publications is a collection of materials put on deposit by the federal and state government for all citizens use free of charge and located on the Third Floor of the James E. Brooks Library. We encourage you to browse our collection whenever
A Time Series Forecasting of the Philippine Unemployment Rate Using Feed-Forward Artificial Neural Network

Unemployment is considered as one of the major sources of social problems and it remains to be a significant challenge to every country. Hence, forecasting the trend of unemployment rate contributes to alleviating a countryâ€™s unemployment problem. This study focuses on forecasting the trend of the Philippine unemployment rate using one of the types of architecture of neural network which is the Feed-forward Artificial Neural Network. Neural networks are modern statistical tools. Nowadays these are widely used in different researches because of its ability to process complex and nonlinear data sets. To generate the Philippine unemployment rate forecast, this study used twelve variables namely, Unemployment Rates, Population, Labor Force, Gross Domestic Product (GDP), Gross National Income (GNI), Gross Domestic Investment (GDI), Inflation Rate, Elementary Level Cohort Survival Rate, High School Level Cohort Survival Rate, Higher Education Graduates, Index of value of production of key manufacturing enterprises by Industry and Foreign Trade covering the year 1991-2014 obtained from Philippine Statistics Authority (PSA) Region X. Results show that the model obtained in this study for forecasting the trend of Â the unemployment rate in the Philippines is .875 or 87.5% accurate. A mathematical model for forecasting the unemployment rate was also formulated which can be used to generate future estimated values of unemployment rates. Keywords : Time series forecasting, unemployment rate, feed-forward artificial neural network
Relationship between press freedom and human development: Evidence from Eastern African countries

The objective of the study was to establish a nexus between the three dimensions of press freedom (economic, political and legal environments) and human development by taking five-year longitudinal data pertaining to six Eastern African countries: Eritrea, Ethiopia, Djibouti, Kenya, Sudan, and Uganda.The interrogation is theoretically informed by Amartya Sen's Capability Approach which forms the conceptual foundation for the operationalization of the Human Development Index.The empirical examination of the association among the variables of interest employed both correlation and multiple panel linear regression analysis methods.Prior to the analysis, a protocol was followed that included preliminary tests of statistical assumptions underlying the use of the methods to ensure that the statistical chemistry of the data was suitable to the methods selected.The preliminary tests provided evidence that the data was indeed appropriate for the methods selected.Subsequent multiple regression tests indicated that both the political (p = .000)and economic (p = .008)dimensions of press freedom are important predictors of human development in the Eastern Africa region, lending support to the extant literature.However, the legal environment investigation of the role of press legislation failed to qualify as an explanatory variable (p=.071).Recommendations for further research are presented based on the limitations noted.
Innovations in Quantum Optics and Quantum computing

Longdom conferences welcome you to join Conference on “Innovations in Quantum Optics & Quantum computing” during March 23-24, 2020, London, UK. We heartily demand every one of the members who are keen on sharing their insight in Current Trends in Quantum optics, Quantum Computing and Quantum Photonics.
Factors Effecting the Performance Management System: A Comparative Analysis among Men and Women with Reference to Information Technology Sector

This positivist research outcome reports the factors effecting the performance management system (PMS) in information technology sector using a comparative with reference men and women employees. A comparative analysis of an empirical survey involving men and women employees using the factors that effect the PMS in information technology sector carried out. The primary data generated carrying out a survey with Nine hundred and twenty-four employees consisting of 379 women, and 545 men working in information technology sector in and around the Metro of Hyderabad. A structured and undisguised questionnaire, was employed on the respondents for this research study. The questionnaire prepared and published on Google form and link for the questionnaire was provided to the respondents. The six independent factors that are effecting the PMS – employee performance, working environment, personal competencies, knowledge-level, job-knowledge, interpersonal and communication competencies and a dependent factor PMS measured. The reliability and in the internal consistency of the research instrument, the survey questionnaire assessed using reliability statistic Cronbach Alpha. The C-alpha values ranged between 0.67 to 0.86 for men, and 0.63 to 0.84 for women employees for the factors assessed indicating, a strong internal consistency and reliability of the survey instrument. The factors that effect the PMS reported in the manuscript.
INNOVATIVE TECHNOLOGIES IN THE PROFESSIONAL DEVELOPMENT OF THE TEACHERS OF THE FRENCH IN UKRAINE

Лучкевич В
Automated decision support for placing terrain observers

Access to reliable information is key for military decision-making. Reconnaissance assets are used to gather information about the Operational Environment. These assets need to be placed within the ...
DEA를 이용한 전복종자 생산업체의 경영효율성 분석

The production of abalone seed has grown and been specialized since the 2000s with the growth of the abalone farming industry. Despite the increase in the production of abalone seeds, the sales volume of abalone seeds remained flat and competition among producers increased. This paper will analyze the management efficiency of abalone seed production fishery to diagnose the management status and improve the abalone seed production efficiency. In addition, this study is the result of the basic research on the abalone seed industry and it is meaningful to prepare a platform for further research since the management status survey and the management efficiency survey of abalone seed production fishery have not been conducted until now. The data on the farmed fish prices of abalone seeds were collected from surveys of sample fish as part of the fish seed observation project conducted by the Fisheries Outlook Center (FOC) of Korea Maritime and Fisheries Development Institute (KMI). Management efficiency analysis utilizes DEA (Data Envelopment Analysis) model. The DEA model was analyzed by classifying into CCR (Super-CCR), BCC, and SBM (Super-SBM) models according to the assumptions taking into account the characteristics of the industry. The slack considered in the SBM model was judged as possible decreases in input variables and increase in output variables. The average efficiency from the CCR model was analyzed to be 69%. The BCC model was classified into input and output orientations, and the average efficiency was 79% and 75%, respectively. There were seven production fisheries with an SE value of 1 or more, which remained unchanged in terms of size and could be benchmarked. The average efficiency of the SBM model was 59% for CRS and 66% for VRS. Under the VRS assumptions, the variable increase/decrease efficiency analysis shows that labor costs can be reduced by 37.3%, facility capacity by 18.8%, and operating costs by 8.5%. In order to improve management efficiency, Wando needs to reduce labor and management costs. In Jindo region, sales increase as well as labor cost reduction is urgent. In other regions, reduced facilities and increased sales are recommended.
Breast Cancer Segmentation & Classification of Image using ResNet

Cancer is one of the deadliest disease, which leads living things to death, and there are nearly 18 million cases, which includes 9.5 million men and 8.5 million women. Breast cancer is one of the most common cancer globally in women. Considering such devastating statistics of breast cancer, early detection is needed, in past several researcher have tried to detect in the early stage, however the main disadvantage of these models were its complexity since the detection comprises many phases such as segmentation and classification. Furthermore classification plays an eminent role in early detection as it detects the cancer type i.e. benign or malignant. In this paper, we have proposed a novel classifier M-ResNet (Modified ResNet) to classify the cancer types. At first, we develop a learning framework and selects the optimal kernel. Further, we employ the M-ResNet (Modified ResNet) and classify the cancer based on its Bi-Rads score. Furthermore, our model is evaluated by considering the performance metric such as Accuracy, sensitivity and specificity. Our model achieves the accuracy of 96.43.
UPAYA MENINGKATKAN KETERAMPILAN MENULIS NARASI SISWA KELAS IV MENGGUNAKAN MEDIA FOTO PENGALAMAN PRIBADI DI SEKOLAH DASAR NEGERI UTAN KAYU UTARA 01 MATRAMAN JAKARTA TIMUR

Classroom Action Research (CAR) is aims to analyze the photo media of personal experiences to improving 4th grade student's narrative writing skills at SDN Utan Kayu Utara 01 East Jakarta. The research subject is 30 IV-C grade students. The action model used is cycle model by Kemmis and McTaggart, and as for the stage of Classroom Action Research is planning, action, observation, and reflection. The data collection technique in this research is used test, observation, field notes, and documentation. The research result shows that photo media of personal experiences can improve student's narrative writing skills. Based on the results of research in the first cycle, the narrative writting skills test results reached 50%, the second cycle reached 80%. Teacher activity in cycle 1 learning reaches 77,27%, while student activity reaches 67,04%. In the second cycle, the increase occurred in teacher activities reaches 95%, and student activity becomes 94,31%. Based on the result of this research, it can be concluded that the use of photo media personal experiences on learning Indonesian language can improve student's narrative writing skills.
IOT Based Patient Fall Prediction And Detection System

This Paper states that fall detection and fall prevention systems should require people to wear or to interact with devices. To monitor the system in 24/7 surveillance camera-based systems do not have a monitoring system as no object is attached here the sensors have to be active obstructiveness is varies from system to system as per the sensor used. Some systems need additional gadgets like a wrist band or a belt this has a data collection and robust with a more responsive system. It does not depend on wireless communication. Usually, it means bigger and more obstructive devices. We are tending to develop such a device that can alert and predict patient falls to prevent any injury due to falling.