Reviewerly/exHarmony huggingface dataset:
Increasing Social Skill Children Aged 4-5 With the Chaterpillar Game

This research is a collaborative classroom action research using the Kemmis and McTaggart models. The research subjects were children aged 4-5 years, totaling 6 children. The object of this research social skills. The data collection method used was observation. The instrument used is an observation guide. Data analysis techniques were carried out descriptively, qualitatively and quantitatively. The success indicator set is that at least 80% of 6 children have social skills with the criteria for developing as expected. At the time of pre-action observation, the initial condition of early childhood social skills in the Buaran area before the action research was still very low where children who could carry out, namely twenty two point five percent. In the first cycle with the achievement of the percentage of fourty seven point five percent until fifty five point five percent.
Some notes on outro in Portuguese

This paper studies the syntactic behavior of outro(s) in Brazilian and European Portuguese. Starting from the syntax of its Italian counterpart un altro/(degli) altri, we argue that outro(s)in prenominal position is neither an adjective nor a determiner, but an existential quantifier and that the presence of the indefinite article, um outro/uns outros, gives rise to a complex existential quantifier, like the corresponding Italian form. We also argue that outro(s) and um outro/uns outros do not specialize for different interpretations since they both substantially show the same ambiguity (one/some more or a/some different one(s)) and behave in the same way in relation to possible semantic interpretations typical of existential quantifiers
An Efficient Approach for Spatial Trajectory Anonymization

Spatial trajectories are being extensively collected and utilized nowadays. When publishing trajectory datasets that contain identifiable information about individuals, it is critically important to protect user privacy against linking attack. Although k-anonymity has been proven as a powerful tool to tackle trajectory re-identification, there still exists a significant gap in model efficiency, which severely impacts the feasibility of existing approaches for large-scale trajectory data. In this paper, we propose Gindex, a highly scalable solution for trajectory k-anonymization. It utilizes a hierarchical grid index and various optimization techniques to speed up k-clustering and trajectory merging. Extensive experiments on a real-life trajectory dataset verify the efficiency and scalability of Gindex which outperforms existing k-anonymity models by several orders of magnitude.
A Performance Analyst Comparison of ReactJS and AngularJS in the Front-End Website

The process of developing a website is divided into two significant parts namely the development of the Front-End and Back-End sides.However, this research focused on the Front-End side development.One of the skills that a Front-End developer must have is JavaScript skills.Javascript is a programming language that can make websites more interactive.Nowadays, Javascript allows Front-End developers to play a broader role, such as the ability to set routers on URLs.The use of Javascript has increased since the use of frameworks such as ReactJS and AngularJS became more popular.AngularJS and ReactJS are the most popular debate among JavaScript developers.The debate often ended up being biased to one of the technologies.Developed by Google and Facebook, AngularJS and ReactJS are two popular technologies for developing an interactive one-page application.It is possible to make a comprehensive comparison between AngularJS and ReactJS because there are several points where they offer different things significantly.After conducting the research obtain the result that websites developed by using AngularJS had Size of codes lower than ReactJS.While websites developed by using ReactJS had larger Size of Code.When accesed on a browser, website was built using ReactJS had better performance and faster Response Time and Page Load Time than developed with AngularJS.
New classes of few-weight ternary codes from simplicial complexes

&lt;abstract&gt;&lt;p&gt;In this article, we describe two classes of few-weight ternary codes, compute their minimum weight and weight distribution from mathematical objects called simplicial complexes. One class of codes described here has the same parameters with the binary first-order Reed-Muller codes. A class of (optimal) minimal linear codes is also obtained in this correspondence.&lt;/p&gt;&lt;/abstract&gt;
Exploring the performance of feature selection method using breast cancer dataset

Breast cancer is the most common type of cancer occurring mostly in females. In recent years, many researchers have devoted to automate diagnosis of breast cancer by developing different machine learning model. However, the quality and quantity of feature in breast cancer diagnostic dataset have significant effect on the accuracy and efficiency of predictive model. Feature selection is effective method for reducing the dimensionality and improving the accuracy of predictive model. The use of feature selection is to determine feature required for training model and to remove irrelevant and duplicate feature. Duplicate feature is a feature that is highly correlated to another feature. The objective of this study is to conduct experimental research on three different feature selection methods for breast cancer prediction. Sequential, embedded and chi-square feature selection are implemented using breast cancer diagnostic dataset. The study compares the performance of sequential embedded and chi-square feature selection on test set. The experimental result evidently shows that sequential feature selection outperforms as compared to chi-square (X&lt;sup&gt;2&lt;/sup&gt;) statistics and embedded feature selection. Overall, sequential feature selection achieves better accuracy of 98.3% as compared to chi-square (X&lt;sup&gt;2&lt;/sup&gt;) statistics and embedded feature selection.
Prospects Of University Education In The Context Of Public Life Digitalization

The article deals with peculiarities of transformation of higher education system under the conditions of transition to the sixth technological order. Based on the data of international ratings the authors draw attention to the decline in some indicators of the level of “human capital” development in Russia. This is a significant obstacle to the innovative economy formation in the context of the increased competition between countries. The authors analyse the main measures of legislative support for the digitalization of higher education; consider the risks and problems associated with the introduction of digital technologies into the educational process of Russia. The authors describe new opportunities in the spheres of training skilled lawyers, including that of LegalTech, which allows the use of various digital products designed to optimize lawyers’ work. Special attention is paid to the prospects of interaction between educational organizations, vendors and employers, who are primarily interested in training good specialists. Attention is drawn to the fact that the widespread use of digital technologies affects the forms and practices of the educational process in Russian institutions of higher education. However, the widespread introduction of distance learning technologies causes a mixed reaction on the part of both students and teachers. While discussing the level of prevalence of digital technologies and communications in society, attention is drawn to the rare use of digital technologies in the strategies of teaching Russian students, to the insufficient dissemination of additional education practices in comparison with European trends.
Determinants of repayment behaviour of MFI clients in the context of COVID-19: a case study of Lalitpur District, Nepal

This paper investigated factors affecting repayment performance of MFI clients in the context of COVID-19. Business characteristics, borrowers’ characteristics and lenders’ behavior were identified and predictors of loan repayment. A telephone interview using a full-fledged questionnaire was conducted among randomly chosen 160 loan clients of various microfinance institutions in Mahalaxmi municipality of Lalitpur district during Covid 19 pandemic (June-July, 2020). The descriptive statistics, correlation analysis, binary logistic regression analysis analyzed the data and qualitative analysis is done to support the result of research. The finding of study reveals that age of the borrower, educational level of borrowers, types of the business and profit generated business influence the repayment of loan. However, family size, skills, age of business, work performance, transparent communication and clarity of MFI policy does not have any impact on repayment of loan. COVID-19 pandemic has affected all types of business and created poor cash flow in the market and due to lockdown, the source of income has been decreased which causes large number of delay repayment of monthly installment is decrease in profit due to decrease in revenue of the business.
Design of an Optimized Fuzzy Controller for a 3R Non-planar Robotic Manipulator

This paper investigates the control of a 3R robot using three different methods. The designed controllers are PID, Fuzzy logic controller (FLC), and particle swarm optimized Fuzzy logic controller (PSOFLC). The fuzzy controller calculates the required joint torques, based on the fuzzy rules and the given inputs. Using an intelligent optimization method allows adjusting fuzzy membership function parameters. The proposed method shows improved performance and a lower total error rate over its conventional counterpart. The comparative evaluation with respect to each controller is presented to validate the controller design for tracking problems. The robot modeling and control design has been simulated within MATLAB and Simulink software, where the achieved numerical results are the criteria for evaluation.
Project Dino

We will finish this part of the book by writing a CGI (computer-generated imagery) program using the code developed over the previous three chapters. Our program will create a picture of a dinosaur standing in Dove Lake, Tasmania, as shown in Figure 17-1. As well as implementing a really interesting algorithm, this project will demonstrate how software engineers often have to find the balance between a technically perfect implementation and one that is fit for purpose and a lot less work. We will need to solve a lot of problems to get a good image, and some of our solutions will be nontechnical. This is typical in applied programming.
Simplification of open educational resources in English

Open Educational Resources (OERs) aim to provide equal access to education to all. Yet, the language level used in OERs in English was found to require native speaker or advanced English language proficiency. There is a call to make these resources more comprehensible, yet, few previous studies have explored the effects of simplifying OERs for non-native English speakers (NNES). Chapter 7 aims to address this gap by testing whether text simplification of OER reading materials facilitates text processing. To that end, eye-tracking stimulated recall interviews were conducted with nine NNES at lower levels of English proficiency reading authentic and linguistically simplified OERs in English. Content analysis of participants’ thought processes during each eye fixation and look-back in the texts suggested that text simplification led to a reduction in cognitive load and the increase in the usage of higher-level processing. Both findings provide some emerging evidence in support of the use of simplification when adapting OERs to the global audience of NNES. These findings are further discussed in the light of their practical applications for online teaching with OERs.
The Role of Heuristics in Information Security Decision Making

Inadvertent human errors (e.g., clicking on phishing emails or falling for a spoofed website) have been the primary cause of security breaches in recent years.To understand the root cause of these errors and examine practical solutions for users to overcome them, we applied the theory of bounded rationality and explored the role of heuristics (i.e., short mental processes) in security decision making.Interviews with 27 participants revealed that users rely on various heuristics to simplify their decision making in the information security context.Specifically, users rely on experts' comments (i.e., expertise heuristic), information at hand, such as recent events (i.e., availability heuristic), and security-representative visual cues (i.e., representativeness heuristic).Findings also showed the use of other heuristics, including affect, brand, and anchoring, to a lesser degree.The results have practical and theoretical significance.In particular, they extend the literature by integrating bounded rationality concepts and elaborating "how" users simplify their security decision making by relying on cognitive heuristics.
k-Anonymous Query Scheme on the Internet of Things: a Zero Trust Architecture

The paper investigates query-anonymity in Internet of things (IoT) formed by a sensor cloud, where the sensor nodes provide services of sensing and are subject to user queries of sensing data. Due to the heterogeneity and multi-carrier natures of the sensor cloud, user privacy could be impaired when the queries have to go through nodes of a third party. Thus, the paper firstly introduces a novel query k-anonymity scheme that countermeasures such a privacy threat. Based on the proposed k-anonymity scheme, the trade-offs between the achieved query-anonymity and various performance measures including, communication-cost, return-on-investment metric, path-length, and location anonymity metrics, are analyzed. By adopting a hybrid approach that takes into account the average and worst-case analysis, our evaluation results show that most of the obtained bounds on various performance anonymity trade-offs can be expressed precisely in terms of the offered level-of-anonymity k and network diameter d.
Hydrogeochemical Study for sustainable development in Wadi El-Mathula, East Qift city, Eastern Desert, Egypt

Wadi El-Mathula is one of the promising basins in Upper Egypt.Rain fall, River Nile and return irrigation water represent the main recharging sources for groundwater aquifers in particular Quaternary water bearing.The hydrogeological data of the main aquifers, namely Quaternary and Nubian sandstone water bearing formations were discussed.The Quaternary aquifer occupying delta of Wadi El-Mathula, where it represented by 18 samples has a salinity ranges from fresh (6% of samples) to brackish water (55%) then saline water (39%) showing an increase due east towards the new reclaimed and desert lands, where the values vary from 1320 mg/l to 10622 mg/l with mean value 5381 mg/l.In the Nubian sandstone aquifer (represented by 6 samples) all the groundwater samples are brackish water where the salinity ranges from 1836 to 2682 mg/l with a mean value of 2072 mg/l.Chloride -Sodium water type is considered the main water type where it characterized the majority (67%) of the Quaternary groundwater samples and the majority of Nubian groundwater samples (83%).Calcite and Dolomite dissolution beside the dissolution of halite are the main hydrochemical processes affecting groundwater quality.The chemical types and hypothetical salts as well as the ion ratios indicate meteoric origin for groundwater and dissolution of terrestrial salts.Hydrogeochemical model (PHREEQC 2.8) was used to calculate saturation indices of minerals to the Quaternary and the Nubian sandstone aquifers.The results indicated that the groundwater in the two aquifers is undersaturated with respect to Gypsum and Anhydrite indicating the capacity of groundwater for more mineral dissolution.All samples of the Nubian sandstone and the most samples of the Quaternary groundwater are supersaturated with reference to Calcite, Aragonite and Dolomite.The results of the environmental stable isotopes indicated that the groundwater in study area is discriminated into two distinctive groups.Group (I) belonging to the deep flowing well in Laqita area (Nubian aquifer) and group (II) of samples is enriched in their isotopic compositions (Quaternary aquifer).The investigated groundwater is not suitable for drinking purposes.Only 28% of the Quaternary groundwater samples are considered very satisfactory for all classes of livestock and poultry.On the other hand, all the groundwater samples of the Nubian sandstone aquifer are considered very satisfactory for all classes of livestock and poultry.About 5% of the Quaternary groundwater samples are Intermediate quality for irrigation.In addition the majority of the Nubian sandstone groundwater samples (67%) are moderate water quality for irrigation and 17% of the groundwater samples in the same aquifer are Intermediate quality
Proyecto Creando Capacidades de Programación en Jóvenes y Docentes tanto en Secundaria como en Enseñanza Superior y su desafío ante el COVID-19

This work presents the university extension project of the Computer Science School of the National University titled Creating Programming Capacities in Young People and Teachers both in Secondary and Higher Education, its objectives, the methodology and the activities developed during the year 2020. It also describes the strategies implemented due to the challenges the project presented before the Covid-19.
Organizational Factors that Affect Job Satisfaction and Job Performance in Basic Education Teachers

The objective of this study was to evaluate organizational stressors and job satisfaction based on the categories of professional concerns, lack of professional recognition and role stress in basic education teachers of the public system in Mexico.The methodology used a quantitative, non-experimental and descriptive approach.The sample consisted of 415 teachers -263 women and 152 men -under a non-probability sampling.The Burn Out Teacher Revised Questionnaire (CBPR) with Cronbach's Alpha of 0.943 was applied as an instrument.To obtain results, an inferential analysis based on linear regression tests and bivariate correlation was performed with a p < 0.05.The results obtained, job dissatisfaction is determined by job stressors which were evaluated through the categories lack of professional recognition, professional concerns and role stress within education professionals.As can be seen in the results obtained, job dissatisfaction is determined by work-related stressors, which were evaluated through the categories lack of professional recognition, professional concerns and role stress within education professionals.Likewise, these results allow us to observe that they coincide with other studies carried out in different Latin American countries and under similar conditions, specifically in elementary and high school schools, where the results mention work stressors as triggers of work stress and consequently dissatisfaction labor.
Assessing the forecasting model ability in measuring the prevention transmission of COVID-19 pandemic: An application of visibility analysis using Inductive logic

Forecasting is an integral approach due to its ability to make informed act decisions and develop data-driven strategies. It's also used to make decisions related to current circumstances and predictions on future conditions. An integral part has been developed using visibility analysis for COVID-19 Outbreak, a lesson from Indonesia. The author identified that its topic has limited attention, especially in assessing the forecasting models. The issue comes from predicted results that are questionable or cannot be trusted without applying the visibility analysis in the forecasting model. The visibility analysis is required to assess the model's ability to forecast future events. In conjunction with the issue, this paper introduces the analysis of visibility error with the different concepts during model development for the transmission prevention measures in making the decision. This study applied a statistical approach to assess the visibility error of forecasting performance in determining how long periods of forecasting and deciding for transmission prevention measures COVID-19 pandemics. Also, we developed the visibility error of time-variant using inductive logic. The result indicated that the number of data required to perform forecasting work on the basis of forecasting model specifications. In conclusion, this study has been completed to develop the statistical formula for identifying the largest time horizon in forecasting model N = V + 2. Also, this developed model can assist the stakeholder in forecasting the number of transmission prevention and making the decision in case of COVID-19 pandemic.
A Study on Design of a Drone for Transportation in the Agricultural Sector

A drone is a fast-growing technology that has been used in many applications in the world. The drone also is a new solution for the transportation process in the agricultural sector. The primary purpose of this project is to explore the potential of drone or Unmanned Aerial Vehicle (UAV) to reduce the dependence on fossil-fueled vehicles to transport the crops within the farm and from the farm to the seller. The use of drones will create lower emission of carbon dioxide and toxic gases that are usually generated by fossil-fueled vehicles. Besides, this research is also essential to reduce the health issues that currently appear from agriculture activities. The objective of this project is to determine the parameters to design a suitable drone for transportation in the agricultural sector. In addition, the design of the drone must be able to carry a maximum of 10 kg of payload, which can be analyzed by simulation and analysis. The simulation and analysis are performed by SolidWorks software. The conceptual design of the drone is proposed by following the George E. Dieter model of the design process. In addition, a simulation on the strength of the drone components and analysis on the thrust of the motor have been conducted to verify the proposed drone design concept based on the determined parameters. The cost estimation of the drone is about RM17683.65 and the overall weight is 26.823 kg. In conclusion, the drone design concept for transportation in the agricultural sector is proposed as a preliminary study for future works.
Current State and Latest Trends in Blockchain Technology and its Usage and the Effects on Business Use Cases

This paper provides a brief overview about the latest applications in blockchain domain especially the trends and research questions giving an idea about limitations and benefits and in conclusion a perspective for future work. The goal is to develop open topics for research or business usage and discuss a basic idea of a possible future blockchain approach that can be utilized for the process of interchanging knowledge.