Reviewerly/exHarmony huggingface dataset:
Factors Related To Learning Achievements In School Children In Sdn 11 Kampung Jua Padang 2019

Indonesian Midwifery Research, that primarily focuses on midwives, midwifery practices and education, is trying to make a tremendous effort to reveal the consequences of industrial development which influences midwifery practice and midwifery educational. The 1st Annual Conference of Midwifery has proven its commitment to promote the spirit of the scientist which provides insight, innovation, and creativity to resolve the problems in the midwifery field which occurred in this industrial development era. Hundreds of scientists, professionals, and students have gathered to discuss, analyse, and express their opinions about the current issues today. We are proud because we can bridge their efforts in a prestigious scientific gathering in Indonesia at The 1st ACM 2019. Aims & Scope This event will bring together midwifery experts, midwifery researcher, midwifery lecturer, and students worldwide. We expect it to be a great opportunity and an inspiring occasion for research development learning, especially to the disseminating of new findings in midwifery and to bridge the networking of midwifery professional, midwifery researcher and midwifery educator. Scopes: Pregnancy Childbirth Postpartum New born care Women's health Reproductive health Techniques of teaching and learning Literacy and skill development
ENGLISH TEACHERS’ OF VOCATIONAL HIGH SCHOOL’S RESPONSE ON LITERACY STRATEGY IN 2013 CURRICULUM REVISION

This research aims to describe the teachers’ understanding about literacy strategy in 2013 curriculum revision in Palengaan district This research design of this study is qualitative. This study focus on literacy strategy. The literacy can be defined as a set of cultivated skills and knowledge that serve as a basis for learning, communication, language use and social interaction. Literacy strategy (Directorate of guidance on vocational high school) is inseparable from education. Literacy becomes a means of learners in knowing, understanding, and applying the knowledge that is in school. Object of this study was that focus on response English teacher about literacy strategy, and took six samples of English teacher using interview and questionnaire. Based on the result of research it can conclude that from six subject of English teachers in vocational high school in Palengaan district has poor understanding, they ever heard about literacy strategy but they only said literacy strategy is one strategy from 2013 without knowing its essence. English teachers of vocational high school response in Palengaan district for literacy strategy in 2013 curriculum revision only two teachers give positive response because according to them the literacy strategy in 2013 curriculum is better than the previous curriculum, and four teachers give negative response because according to them literacy strategy is not effective and conducive in teaching-learning process.
Forecasting total population in Yemen using Box-Jenkins ARIMA models

Using annual time series data on total population in Yemen from 1960 to 2017, we model and forecast total population over the next 3 decades using the Box – Jenkins ARIMA technique. Diagnostic tests such as the ADF tests show that Yemen annual total population is neither I (1) nor I (2) but for simplicity purposes, the researcher has assumed it is I (2). Based on the AIC, the study presents the ARIMA (10, 2, 0) model as the best model. The diagnostic tests further indicate that the presented model is indeed stable and its residuals are stationary in levels. The results of the study reveal that total population in Yemen will continue to rise sharply in the next three decades and in 2050 Yemen’s total population will be approximately 52 million people. In order to benefit from an increase in total population in Yemen, 4 policy recommendations have been suggested for consideration by policy makers in Yemen.
Empirical Model for the Culture of Research in Basic Education

This study developed an empirical model that will build the culture of research in thebasic education. The study was mainly quantitative involving the collection of primary datafrom 400 basic education teachers intended to determine the dimensions of organizationalcharacteristics and culture of research using principal component analysis of exploratoryfactor analysis (EFA). After this, the impact of the organizational characteristics on theculture of research was identified using the multiple linear regression analysis (MLR).Exploratory factor analysis revealed that there were three dimensions of organizationalcharacteristics which included institutional support and reward system, strategy, andstructure. The culture of research was also revealed to have three dimensions including theallocation of knowledge and skills training and development and resources, maximizationof incentives and personal and professional opportunities, and integration of researchinto the school routine. Given that these dimensions are adopted and well implemented,the culture of research is highly likely to be built. The regression analysis disclosed thatthe three dimensions of the organizational characteristics were significant predictors ofthe culture of research in basic education with their linear combination for a very highvariation in the culture of research.
Justice in Pedagogical Interactions as a Factor of Mental Health of Participants in Educational Process of Participants in Educational Process

АBSTRACTThe article under consideration is devoted to psychological and pedagogical study of the factor of mental health of participants of educational process, precisely, the establishment of pedagogical interaction between them on the basis of equity and objectivity.Mental health has been defined as a state of psychological stability and emotional well-being of an individual, which had been caused by equity of social interactions and appreciative attitude of its participants to one another.It has been testified that mental health of pupils is established and improved in the process of pedagogical interaction due to fair, impartial, respectful attitude of a teacher towards them.It has been clarified, that justified actions of a teacher affect psycho-emotional state of pupils, increase the productivity of their activities and development of subjectivity.On the other hand, unjustified actions cause negative feelings and are accompanied with emotions of rejection, anger, indignation.It has been clarified that in the process of pedagogical interactions pupils are harmonized with a fair teacher, achieve social and psychological balance, emotional comfort, which has a positive effect on their mental health.
Pembuatan Alat Permainan untuk Pembelajaran English for Young Learners di Yayasan Al-Kahfi Cabang Palembang

This is the second year of the community service team to assist a private institution, Yayasan Al-Kahfi of Palembang, which provides teaching assistance to the orphan and disadvantage children as one of its mission. English was one of the subjects taught there once in a week. The obstacles faced were the educational background of the instructors which were not linear with the English subject, the lack of experience on how to teach English for young learners, the lack of teaching media, the limited time of teaching English which was only about 50 minutes, and the range of age in the same group that varied from kindergarten to first until third elementary class. Therefore, an effective and efficient teaching and learning strategy was extremely important to be implemented. Since teaching English for young learners should be in a kind of fun and pleasing atmosphere, therefore enjoyable and entertaining activities as one of the strategy can be used for this issue. These kinds of activities made the students unconsciously as if they were playing not studying. Therefore, the team made and modified games rules as the learning media to ease the students in learning English in terms of memorizing the vocabularies and making simple sentences in a fun and pleasing activities. The games proved that the teaching and learning activities can be done extremely effective and efficient.
RANCANG BANGUN PENGAMAN MATA DENGAN LAYAR TV BERBASIS ARDUINO UNO

Television is an electronic device which now the majority is owned by all Indonesians. Besides the use of this electronic device, there is a negative impact or thing that is contained in this electronic device. When watching television, eyes often experience tired and dry eyes, this is caused by television monitors that emit radiation rays and cause several eye problems. radiation beam emitted from each television differs depending on the size of the monitor. This has been proven by tests that have been carried out by related institutions that the distance to watch television for each monitor is different. The eye has the most important role for the development of human intelligence. Therefore a tool was designed from the problems that arise which will set the ideal distance for watching television using the PIR sensor to determine the distance of the audience from the television which will be forwarded to Arduino UNO as data processing, the output of the tool is in the form of LED, Buzzer and executed by Rellay as Automatic shutdown where the television will be turned off automatically when the audience enters a distance of less than 3 meters and within 1 minute with the LCD indicator displaying text data in the form of Danger and the television will not be turned off automatically if the viewing distance is more than 3 meters and the LCD will display text data in the form of SAFE.
Disease Prediction and Topic Phrase Extraction from Clinical Reports by Attention-based LSTM model

In this thesis, we focus on how to predict a certain disease from a given pathology report without the pathologist's diagnosis paragraph. Moreover, we aim to identify relevant diagnostic features within reports' paragraphs and get the determined clinical phrases that serve as clinical interpretations for the prediction model. We use the attention-based LSTM model for binary prediction of a given disease. Next, the attention weights learned from the model are extracted to generate attention terms. These attention terms are grouped under different MeSH terms defined by the United States National Library of Medicine. Moreover, the topic phrases are generated by using the frequency pattern method as representations of each group. The extracted topic phrases could provide as the determined clinical interpretation for the prediction.
Behavioral Mereology: A Modal Logic for Passing Constraints.

Mereology is the study of parts and the relationships that hold between them. We introduce a behavioral approach to mereology, in which systems and their parts are known only by the types of behavior they can exhibit. Our discussion is formally topos-theoretic, and agnostic to the topos, providing maximal generality; however, by using only its internal logic we can hide the details and readers may assume a completely elementary set-theoretic discussion. We consider the relationship between various parts of a whole in terms of how behavioral constraints are passed between them, and give an inter-modal logic that generalizes the usual alethic modalities in the setting of symmetric accessibility.
Implement Artificial Intelligence AddIn to execute Digital ForensicsInvestigation Software.

Implement Artificial Intelligence Machine Learning Add-In to execute Digital Forensics investigations. Searching the evidence from a database feeder with the objective needs to be learned by reinforcement learning. The programmed Add-In programmed with an algorithm aiming and expect the Machine through trial-and-error to achieve that goal attempting to climb over the most object recognition until it finds with different percentages. The Add-In will utilize the searching in the evidence copy any related pictures or photos which will be uploaded in the internal migrated database. Artificial Intelligence Add-In will help in protecting the suspect's privacy from being seen by the digital forensic examiner/investigator. Moreover, it will illustrate related compared images to the investigator with the compared percentage and permit the digital examiner/investigator to search in a specific time frame, which usually will be in the time frame of the incidents. The Add-In will assist superiorly in achieving detailed results and achieving the adjuster and fair conclusion without any judgmental and human error. Likewise, the fast scanning to match time speed which will solve more cases in a shorter time. (178 words)
Outlier Detection Transilience-Probabilistic Model for Wind Tunnels Based on Sensor Data

Anomaly Detection research is focused on the development and application of methods that allow for the identification of data that are different enough—compared with the rest of the data set that is being analyzed—and considered anomalies (or, as they are more commonly called, outliers). These values mainly originate from two sources: they may be errors introduced during the collection or handling of the data, or they can be correct, but very different from the rest of the values. It is essential to correctly identify each type as, in the first case, they must be removed from the data set but, in the second case, they must be carefully analyzed and taken into account. The correct selection and use of the model to be applied to a specific problem is fundamental for the success of the anomaly detection study and, in many cases, the use of only one model cannot provide sufficient results, which can be only reached by using a mixture model resulting from the integration of existing and/or ad hoc-developed models. This is the kind of model that is developed and applied to solve the problem presented in this paper. This study deals with the definition and application of an anomaly detection model that combines statistical models and a new method defined by the authors, the Local Transilience Outlier Identification Method, in order to improve the identification of outliers in the sensor-obtained values of variables that affect the operations of wind tunnels. The correct detection of outliers for the variables involved in wind tunnel operations is very important for the industrial ventilation systems industry, especially for vertical wind tunnels, which are used as training facilities for indoor skydiving, as the incorrect performance of such devices may put human lives at risk. In consequence, the use of the presented model for outlier detection may have a high impact in this industrial sector. In this research work, a proof-of-concept is carried out using data from a real installation, in order to test the proposed anomaly analysis method and its application to control the correct performance of wind tunnels.
The Advancement in Information and Communication Technologies (ICT) and Economic Development: A Panel Analysis

This study analyses the impact of advancement in information and communication technologies (ICT) on economic development over the period of 2000 to 2017 in the case of 87 developed and developing countries. The developed and developing countries are selected following the ranking of International Monetary Fund's World Economic Outlook Database, October 2018. This article uses three types of analysis: the first is based on the whole sample, and for comparative analysis developed and developing countries’ analysis are done separately. The results of panel least squares reveal that advancement in information and communication technologies has an insignificant relationship with economic development, whereas the advancement in information and communication technologies is playing a positive and significant role in the economic development of developing countries. This shows that developed countries are getting more benefits from advancement in information and communication technologies in comparison with developing countries in the process of economic development. The developed countries have a more stable macroeconomic environment in comparison with developing countries, so macroeconomic stability is playing more significant role in the case of developed countries. If developing countries want to achieve higher economic development, they must increase trade and physical capital with stable macroeconomic environment. Moreover, developing countries should adopt advancement in information and communication technologies (ICT) to compete with developed countries in the process of economic development.
Performance Improvement in Diffie–Hellman Algorithm

ABSTRACTCommunication is the important part in any type of network for making it possible to transfer data from one node to another. Communication needs quality and security for better performance and for acceptance of users and client companies. Quality is depending on length and a few different elements of community however safety could be very subject parameter in network as it is independent of community length and complexity. Safety has end up greater critical to personal laptop customers, organizations, and the military. Security became a major concern with the advent of internet and the history of security allows a better understanding of the emergence of security technology. Ensuring secure communication over internet is extremely challenging because of the dynamic nature of the network and the lack of centralized management. The internet structure itself allowed for plenty security threats to arise. The modified architecture of the internet can reduce the possible attacks that can be sent across the network. Knowing the attack methods, allows for the precise security to emerge Data integrity is quite an issue in security and to maintain that integrity we tends to improve as to provides the better encryption processes for security. For this reason, Diffie–Hellman key agreement protocol is introduced for secure communication over network, but Diffie–Hellman key agreement protocol implementations have been plagued by serious security flaws. The attacks can be very subtle and, more often than not, have not been taken into account by protocol designers. In our proposed work we provide harder encryption with enhanced public key encryption protocol for security and proposed work can be implemented into any network to provide better security. We have enhanced the hardness in security by improving the Diffie–Hellman encryption algorithm by adding some more security codes in current algorithm. In our work discuss both theoretical attacks against the Diffie–Hellman key agreement protocol and attacks based on implementation details and also we've got used a random parameter to make this algorithm more green. The random parameter generates new shared keys for each message that is exchanged between sender and receiver. So, different cipher text will be produced each time even for the same message. Thus, systems using this scheme will become more tolerant to various attacks.Keywords: Cryptography, key exchange protocol, SSL, TLSCite this Article: Varsha Kumari, Gourav Mitawa. Performance Improvement in Diffie-Hellman Algorithm. International Journal of Telecommunications & Emerging Technologies. 2019; 5(1): 20–23p.
Rhetorical Analysis of an Organizational Artifact: A University’s Response in Defense of Hate Speech

In 2017, a hate speech flier targeting the LGBTQ community was posted in the main classroom building at Cleveland State University (CSU). This article explores the rhetoric surrounding the hate speech posted at this institution. The President’s insensitive email response to this hate speech sparked outrage from students, faculty, staff, and the public. To correct his mistake, he delivered an apologia. In this study, I analyze the President’s email response to the hate crime and his apology to the university. His apologia reveals strong evidence of emotional intelligence (pathos), an appeal to the university’s credibility (ethos), and use of claims and evidence (logos) which were all lacking in his initial email to the hate speech. Keywords: Hate speech, Rhetoric, Legitimacy, Institution DOI: 10.7176/NMMC/95-07 Publication date: March 31 st 2021
Rejection Threshold Optimization using 3D ROC Curves: Novel Findings on Biomedical Datasets

Reject option is introduced in classification tasks to prevent potential misclassifications.Although optimization of error-reject trade-off has been widely investigated, it is shown that error rate itself is not an appropriate performance measure, when misclassification costs are unequal or class distributions are imbalanced.ROC analysis is proposed as an alternative approach to performance evaluation in terms of true positives (TP) and false positives (FP).Considering classification with reject option, we need to represent the tradeoff between TP, FP and rejection rates.In this paper, we propose 3D ROC analysis to determine the optimal rejection threshold as an analogy to decision threshold optimization in 2D ROC curves.We have demonstrated our proposed method with Naive Bayes classifier on Heart Disease dataset and validated the efficiency of the method on multiple datasets from UCI Machine Learning Repository.Our experiments reveal that classification with optimized rejection threshold significantly improves true positive rates in biomedical datasets.Furthermore, false positive rates remain the same with rejection rates below 10% on average.
LibGuides: OneSearch: The Library Discovery Tool: Advanced Search

This guide is here to help the Cal State LA campus become more familiar with the library discover tool and how it works.
Utilizing WhatsApp Messenger to Enhance Listening Skills of Civil Engineering Degree Students in Mandarin Courses at UiTM Penang Branch

Listening skills are important skills that need to be mastered by foreign language learners. Listening skills have, however, often been neglected in the teaching and learning process. This study aims to investigate the effectiveness of using WhatsApp messenger as an instructional tool in enhancing listening skills. This experimental research employs the two-group pre-test post-test design. Two groups of 30 students who enrolled in the Introductory Mandarin course in one of the public universities in Malaysia took part in the study. During the study, the experimental group of 30 students underwent listening drills and exercises using WhatsApp messenger as the treatment, while another 30 students in the control group were taught by another lecturer using the conventional method of teaching listening skills. Listening test scores of before and after the treatment were compared and analyzed using Independent Samples t-Test to identify the significant level of the difference between the scores of these two groups. The findings show no significant difference in the listening pre-test scores between both control and experimental groups. However, after the treatment, the listening scores of the experimental group students are significantly better than that of the control group students. These results indicate that WhatsApp messenger is a useful instructional tool to teach listening skills in foreign language. The findings of this study could be used as a reference for further development of WhatsApp messenger as an instructional tool to enhance listening skills, overcome the constraints on teaching time, and improve the pedagogy as well as the instructions of foreign language learning.