Reviewerly/exHarmony huggingface dataset:
Impact of student Trust, and Positive Word of Mouth, as Mediator variables, between the dimensions of the Quality of E-learning and Student Satisfaction at King Khalid University: أثر ثقة الطلاب وكلمة الفم الإيجابية كمتغيرات وسيطة بين أبعاد جودة التعلم الإلكتروني ورضا الطلاب بجامعة الملك خالد

This study aims to test the overall satisfaction of the beneficiary students with the quality of e-learning service at King Khalid University in the Kingdom of Saudi Arabia. More specifically, this study investigates "the effect of the variables of an e-learning service quality dimensions, which include six dimensions on an overall students' satisfaction variable as a dependent variable, in addition to the two variables of student trust, and Positive Word of Mouth, which were used as mediator variables. The descriptive and analytical approach was used in this study, and a total of 729 copies of a questionnaire were obtained for the analyses which was representing the study population that consisted of all students at King Khalid University. So, this study tested the relationships between the variables, in purpose of testing the quality of measurements, as well as the study hypotheses testing. The results obtained from the analysis provided support for the theoretical model of the study, and confirmed the existence of a statistically significant impact relationship between the most variables, as well as The results showed that the positive word of mouth variable also mediates the relationship between students' trust and their overall satisfaction with the e-learning service at King Khalid University. Based on the results of the study, the theoretical and practical implications of the results of the study were discussed, in addition to providing recommendations and suggestions for future studies.
A Discrete Formulation of a Unified Data Mining Model

A race is going on to process the complex and huge amount of data. To achieve this, data analytics are proposing different models and methods. Parallel to this, rich research work has been done to simplify different mathematical models for the validation and for the acceptance level of calculated knowledge. In this paper, we propose a discrete formulation of a unified data mining model. It envisages that knowledge extraction is a multi-step process where different data mining processes such as clustering, classification and visualization are unified in a cascade way; that is, an output of a process is the input to another process which helps to achieve scalability and flexibility on a larger scale. Simultaneously, to prove whether our proposed model is valid or invalid, it is evaluated by discrete structure. For this, different mathematical formulations are formed to support the cause and then these mathematical formulations are evaluated to achieve the required target. Each mathematical formulation is examined in detail by using a simple technique called Truth Table and its Truth Values. Truth Table shows that evaluated mathematical formulations are valid and correct.
A new optimization-simulation model considering sustainability factors in the product design

This study aims at understanding factors of an industrial product driving the sustainability and long-term survival. On the whole, sustainability in product design is an important issue for attracting and retaining customers around the world. Based on a printer case, this study attempted to determine sustainability factors in the product design based on a hybrid method of the conjoint analysis (CA), the fuzzy cognitive mapping (FCM) and the system dynamics (SD). In this approach, first, the optimal values of initial data are determined by CA. These values are entered into a FCM-SD model to evaluate the cause-and-effect relationships between factors of sustainability and long term scenarios. The results provide insights into which factors most strongly influence sustainability, namely, environmental, social, and economical factors. Hence, diverse scenarios at inter and intra-cluster levels were created to clarify the effects of variable changes on the model described.
Factors Associated with students’ Intention to use E-Learning System: A Study from Public Universities of Lahore

The study's primary purpose is to explore the factors affecting the students' intention to use e-learning systems in the COVID pandemic. The model of the “Unified theory of acceptance and use of technology” (UTAUT) was used as a theoretical underpinning. The Independent variables include “performance expectancy, effort expectancy, social influence, facilitating condition,” and the dependent variable is the intention to use e-learning systems. The quantitative data were collected from the postgraduate and undergraduate students of the public universities of Lahore. A total of n=411 students were approached, out of which the responses of only 399 were considered valid and were used for Multiple linear regression through SPSS 25. It was a cross-sectional study. It was found that almost all constructs of the model have a significant positive impact on intention to use e-learning systems. The study's main contribution is exposing the factors that affect the acceptance and use of e-learning systems. This study has several policy implications for policy experts of higher education”.
Keyword-centered Collocating Topic Analysis

The rapid flow of information and the abundance of text data on the Internet have brought about the urgent demand for the construction of monitoring resources and techniques used for various purposes. To extract facets of information useful for particular domains from such large and dynamically growing corpora requires an unsupervised yet transparent ways of analyzing the textual data. This paper proposed a hybrid collocation analysis as a potential method to retrieve and summarize Taiwan-related topics posted on Weibo and PTT. By grouping collocates of 臺灣 ‘Taiwan’ into clusters of topics via either word embeddings clustering or Latent Dirichlet allocation, lists of collocates can be converted to probability distributions such that distances and similarities can be defined and computed. With this method, we conduct a diachronic analysis of the similarity between Weibo and PTT, providing a way to pinpoint when and how the topic similarity between the two rises or falls. A fine-grained view on the grammatical behavior and political implications is attempted, too. This study thus sheds light on alternative explainable routes for future social media listening method on the understanding of cross-strait relationship.
Scaling knowledge based virtual worlds: An efficiency gain through multi-core architectures

This paper investigates the impact of sequential content load algorithm on regional transfer in OpenSimulator framework. It, then, presents an abstract parallel content load algorithm, which is implemented using the basic parallel for and chunk partitioning constructs to exploit the parallelism of multi-core architectures. This work used a set of five example virtual worlds content to investigate the effectiveness of the proposed work and its impact on the reallocation process of regions in OpenSimulator. Simulation results revealed that the implementation using parallel for reduced the timings by 47% to 57% while the implementation using chunk partitioning minimized it by 63% to 72%. Time impact on regional transfer was reduced by 39% to 51% using parallel for while 52% to 66% using chunk partitioning.
Efektivitas Pembelajaran Daring Terhadap Mata Pelajaran Matematika Pada Siswa SD Kelas IV

Corona pandemic virus disease 2019 ( covid-19 ). conventional has disrupted the learning processThen required analysis of how this pandemic have a direct impact on the outcome of. student learningAlthough online learning can be implemented as a substitute for conventional, is learning but the changes have the direct effect on the outcome which has not known. student learningThe study aimed to identify the effectiveness of online learning during the pandemic and change the overall student learning in one class.This research to discovering whether online learning mathematics work for primary school student.Methods used aadalah qualitative compare in value all students in the first half with the odd in the same lessons, where in the first half of normal 1 learning to be carried out , while in the first half of the even online to be carried out .Data collection technique using interviews and documentation .The interviews and the purpose of comparing the students to study analyzed the results of the quantitative uses the technique .The research results show that of the 38 fourth grade students , about 97 % 37 students has experienced a fall in the value of the end of the semester .An example of this was caused by loss of learning activities face to face between teachers and their students , reduced review teacher supervision in the teaching process long distance learning students at the time , so that the thing is hinder the implementation of explanation and a dialogue between students and teachers.
Enhancing the Speed of Response in Digital Money Transactions using Distributed Blockchain System

Waiting for anything is undesirable by most of the human beings. Especially in the case of digital money transactions, most of the people may have doubtful thoughts on their mind about the success rate of their transactions while taking a longer processing time. The Unified Payment Interface (UPI) system was developed in India for minimizing the typographic works during the digital money transaction process. The UPI system has a separate UPI identification number of each individual consisting of their name, bank name, branch name, and account number. Therefore, sharing of account information has become easier and it reduces the chances of typographic errors in digital transaction applications. Sharing of UPI details are also made easy and secure with Quick Response (QR) code scanning methods. However, a digital transaction like UPI requires a lot of servers to be operated for a single transaction same as in National Electronic Fund Transfer (NEFT) and Immediate Payment Services (IMPS) in India. This increases the waiting time of digital transactions due to poor server communication and higher volume of payment requests on a particular server. The motive of the proposed work is to minimize the server communications by employing a distributed blockchain system. The performance is verified with a simulation experiment on BlockSim simulator in terms of transaction success rate and processing time over the traditional systems.
Speaking Performance and the Types of Code-switching of Senior High School Students

English proficiency is considered a frontline skill especially among Humanities and Social Sciences students in the locality. This study was conducted to explore what particular types of code-switching affect the speaking performance among HUMSS. It determined the students’ demographic profile, types of English reading materials, time spent in reading, types of media, time spent in viewing and length exposure to English conversations, frequency of code-switching, and their level of speaking performance. The study used the Spearman rank correlation coefficient to determine the relationships between the demographic profile and the types of code-switching used in the conversation and the relationship of the types of code-switching and the level of speaking performance. The findings revealed that the speaking performance of the respondents is not generally affected by their exposure to English conversation. Nonetheless, it was found out that exposure to English reading materials and media corresponds to students’ fluency in speaking. In addition, using intra-sentential and tag code-switching make students speak fluently in the conversation. With this, it is concluded that intra-sentential and tag code-switching are communicative pedagogical approaches that can be adopted to meet classroom language needs. Likewise, the availability of learning materials either English reading materials and media or multimedia sources at home and in the classroom are crucial factors to foster students speaking performance. Thus, the study highly recommends that the conduct of intervention to students’ low level of speaking performance through the exposure to English reading materials and media, as well as the creation of home libraries and innovative media sources to promote students’ literacy skills.
Music, Atmos, and Sound Effects

I've recently started listening to the ABC radio podcast called The Pineapple Project. Season one is about managing your money – an important but dull topic that they've somehow managed to make cool. After so many years of ignoring my own mother's sensible advice on this topic, I have a newfound mania for savings accounts and insurance.
A study on the item Characteristics analysis of Paper-Based Tests and Smart deviceBased Test items

AbstractThis study tried to analyze the characteristics of the items in the optician national board examinationaccording to item response theory and to find if the test items are adequate or needs to be modified forthe evaluation of learners’ ability level. Through the item analysis based on item response theory, it ispossible to estimate an error of measurement accurately according to individual learner’s ability level.Paper-based and smart device-based trial tests for the optician national board examination wereplanned to show multimedia type, data-suggestion type, and text type items to test takers. As a result,item difficulty and item discrimination were not greatly different between the paper-based and smartdevice-based trial tests for the optician national board examination. In particular, to collect opinions ofthe persons concerned for the introduction of smart device-based test and to stabilize the introductionof the smart device based national board examination perfectly, it is necessary to conduct various pilotprojects to support experiences of smart device-based test. In order to develop multimedia items toencourage the problem-solving ability of people with different kinds of occupations, it is necessary toestablish guidelines that help access object and standardized data which do not infringe an informationuse policy, among internet-sharable video.
Identification of Face Mask With YOLOv4 Based on Outdoor Video

The use of face masks in the current era is one of the special regulations in many countries including Indonesia to prevent the spread of coronavirus. However, not all people strongly agree to wear masks because they feel uncomfortable to wear even in crowded places require the use of masks such as shopping malls, hospitals, factories, stations and others by checking manually. Therefore, in the study proposed automatic detection of masks with YOLOv4 with the stage of data collection recording community activities in crowded places, labeling images of masks and non masks. The labelling results were conducted in training that resulted in 90.3% accuracy in the 2000 ierasi, the last of which was video testing in three different crowd locations: taxes, city parks and highways. Based on the test results, YOLOv4 can detect masks and non masks on videos with different obstruction conditions such as people wearing helmets, hand obstacles. However, for the detection of people with tissue obstruction conditions and improper position of wearing masks has not resulted in good detection.
Damage Types of Pests on Toona sinensis and the Prevention and Control Suggestions

Toona sinensis has high economic values, and it is widely distributed in China. The occurrence and damage of pests affected the normal growth of Toona sinensis and seriously affected the economic values The pests on Toona sinensis which had been recorded and reported were summarized, and the damage types were classified. Some prevention and control suggestions were put forward for references.
New Fluorite Index Using ASTER Data of Gabal Abu Diyab area, Central Eastern Desert, Egypt

Remote sensing represents a significant function in the exploration of minerals. Extraction and identification of mineral occurrences in semi-arid to arid regions are some of the remote sensing confirmed uses. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images have been combined with band ratio processing technique for detecting the fluorite mineral occurrences in the area around Gabal Abu Diyab, Central Eastern Desert, Egypt.  The proposed band ratio derived from ASTER images Spectra [(b8/b6) * (b5/b3)] can be considered to represent the new Fluorite Index (FI). The USGS Spectral libraries are used to extract the new index and validated it by using the field study. According to the given new Fluorite Index (FI) combined with the field observations, two occurrences of fluorite mineralization at Gabal Homrit Waggat and Gabal Ineigi have been identified. This study provides the proposed FI as a beneficial tool for fluorite exploration that could be applicable along with Arabian Nubian Shield and similar arid and semi-arid environments.
Fast Implementation of Elliptic Curve Cryptographic Algorithm on GF(3M) Based on FPGA

As quantum computing and the theory of bilinear pairings continue being studied in depth, elliptic curves on GF(3m ) are becoming of an increasing interest because they provide a higher security. What’s more, because hardware encryption is more efficient and secure than software encryption in today's IoT security environment, this article implements a scalar multiplication algorithm for the elliptic curve on GF(3m ) on the FPGA device platform. The arithmetic in finite fields is quickly implemented by bit-oriented operations, and then the computation speed of point doubling and point addition is improved by a modified Jacobia projection coordinate system. The final experimental results demonstrate that the structure consumes a total of 7518 slices, which is capable of computing approximately 3000 scalar multiplications per second at 124 Mhz. It has relative advantages in terms of performance and resource consumption, which can be applied to specific confidential communication scenarios as an IP core.
THE NEGATIVE EFFECT OF MERCURY IN COSMETICS ESPECIALLY IN BRAIN CELLS AND COLLAGEN TISSUE QUANTITY THAT RECOVERY WITH NANO-GOLD

The pre-clinical research has been done to get empirical date the real of negative effect of mercury that used in cosmetics (mercury face cream). This research used 24 animals Mus Musculus divided into 6 groups; Control group; Mercury group; Nanogold 5ppm; Nanogold 10 ppm; Nanogold 15ppm and Nanogold 20 ppm. After adaptation two weeks All animal treat by mercury face cream for a week, except control group. After this treatment, 4 class continuous by recovery with nanogold 5, 10, 15, and 20 ppm for 4 weeks. One group that call mercury group killed to investigate effect of mercury face cream. Mercury had cause damages of fibroblast and reduce collagen quantity in skin tissue at previous research. This research investigated haw impact mercury in face cream at brain cells and collagen quantity of brain tissue if mercury exposure in skin area. The treatment continuous with nano-gold face cream to recovery and reduce these damages. HE staining used to analysis brain cells condition and Van Gieson staining used to analysis collagen quantity. The conclusion that a week mercury exposure caused many damage of tissues including collagen tissue, brain cells and others connecting tissue in brain. Recovery for 4 weeks with nanogold at variance concentration (5, 10, 15, and 20 ppm) reduce brain damage, especially brain cells and collagen tissue step by step near normal condition. The role of concentration of nanogold was real. The increase nanogold concentration give recovery be better. The impact of this research nanogold sweet material to substitute mercury that very dangerous material in cosmetics. Nanogold in the future as the best material in cosmetics formulation.
Usage of Social Media Tools by Library and Information Professionals (LIPs) in selected Academic Libraries in South-West, Nigeria

This study was carried out to examine the awareness and use of social media tools by Library and Information Professionals (LIPs) in selected academic libraries in South-west, Nigeria and the challenges they face in the use of social media technologies. Descriptive survey was adopted for this study. The population of the study comprised 217 library and information professionals from 10 selected academic libraries in south-west, Nigeria. A total enumeration technique was used to cover all the library and information professionals, 136 respondents filled and returned the questionnaire, given a response rate of 62.7%. The questionnaire was used as instrument for data collection. Descriptive statistics was used to analyze the data collected. The findings show that majority of LIPs possessed a high level of awareness in the use of social media tools. The study also revealed that social network tools were highly used by LIPs in the academic libraries studied and the types of social media used by LIPs was also revealed. The major challenges faced in the use of social media include inadequate power supply, lack of Internet access and time constraints. The paper recommended that to enhance the use of social media by LIPs, there is need for constant awareness of the importance of social media tools to LIPs and libraries in effective service delivery, LIPs should be ready to learn, unlearn and be learned in the use of social media and University libraries should provide enabling environment such as Internet connectivity, power supply and policy to guide LIPs in social media usage.
THE DEPTH OF LANGUAGE LABORATORY’S ROLE FROM STUDENTS’ PERCEPTION AND ITS IMPACT ON BASIC LISTENING OUTCOMES IN 2019

The need of listening skill has been undoubtedly discussed since the need of other receptive skill (reading) is drawn into the circle of language capability. As the students of English Department of IKIP Gunungsitoli are prepared to teach English, capability to “hear”, “listen” and “respond” becomes urgent and substantial. Concerning to several cases of students’ incompetence in listening skill at the previous years, the Language Laboratory of IKIP Gunungsitoli is obtaining strength to become the changing agent facility to compress the issue of such listening incompetence. This study was conducted to unveil the depth of Language Laboratory’s roles from the students’ perception and its impact on learning outcomes in Basic Listening. Through interview and comparison on documents, 35 students of class A the 1st semester were the subject to answer the focus of this research. The descriptive analysis on the result of the research concluded that the Language Laboratory gave deep and valuable role toward the students’ capability of listening competence and was substantial to elevate the positive enhancement of the teaching and learning process, particularly in Basic Listening subject.
Mineralogical and Geochemical Characterization of Rocks Belonging toMadurai Block and Associated Industrial Minerals Situated in UsilampattiTaluk, South India.

Mineral investigations and knowledge of their chemical composition are the fundamental facts in determining the deposit's economic potential. In the study field, different rock and mineral samples were collected including limestone (LS6, LS7, and LS8) and granitoids samples (S1, S2, S3, and S4). The detailed investigations reveal that the limestone samples are dominated by calcite associated with accessory minerals, the granitoid samples show high levels of silica minerals and some ultra-high metamorphism minerals of granulite facies. Based on [20] classifications of granitoid, the samples fall in the ferroan granitoid [Fe2O3 (t)/ (Fe2O3 (t) +MgO]. Modified Alkali-Lime Index (MALI) plotting [Na2O+K2O-CaO] against SiO2.