Reviewerly/exHarmony huggingface dataset:
Analysis of an Economic Coupling Relationship Model of the Coastal Ecological Fragile Zone Based on a Machine Learning Model

This study is based on a decision tree learning model and integrated system. In order to improve the classification accuracy of the base learner, the diversity of the results is analyzed. Accuracy and diversity are the focus of decision tree classifier research. The balance between decision tree classifiers is a key issue in creating a good ensemble classifier. By reducing the redundant features and training the model with the optimal feature subset, the accuracy of the model can be improved and the running time can be reduced. Normal distribution and generalized error distribution are better. The clustering algorithm based on the <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>K</mi> </math> -means partition is a number of compact and independent classification clusters based on the <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>K</mi> </math> -means partition algorithm. In order to objectively and accurately treat the machine learning model, an analysis model and economic coupling relationship model were used to evaluate the coastal ecological fragile zone. The error of the result of the classifier after training is smaller.
Probing language identity encoded in pre-trained multilingual models: a typological view

Pre-trained multilingual models have been extensively used in cross-lingual information processing tasks. Existing work focuses on improving the transferring performance of pre-trained multilingual models but ignores the linguistic properties that models preserve at encoding time-"language identity". We investigated the capability of state-of-the-art pre-trained multilingual models (mBERT, XLM, XLM-R) to preserve language identity through language typology. We explored model differences and variations in terms of languages, typological features, and internal hidden layers. We found the order of ability in preserving language identity of whole model and each of its hidden layers is: mBERT > XLM-R > XLM. Furthermore, all three models capture morphological, lexical, word order and syntactic features well, but perform poorly on nominal and verbal features. Finally, our results show that the ability of XLM-R and XLM remains stable across layers, but the ability of mBERT fluctuates severely. Our findings summarize the ability of each pre-trained multilingual model and its hidden layer to store language identity and typological features. It provides insights for later researchers in processing cross-lingual information.
COVID-19 Digital Contact Tracing between Privacy Issues and Co-Production – Why Some Have Worked and Some Haven’t

With the first outbreak of COVID-19, governments in the world adopted various policies to contain its spread. Major policies are: social distancing; identify and isolate who diagnosed with COVID-19; contact tracing and quarantine them; mass testing and quarantine those who are positive; and lockdown. Among these methods, contact tracing is used for contagious diseases and was used during the Ebola virus outbreak, as well as in the SARS outbreak. As COVID-19 has gone global, some countries have aggressively used digital contact tracing in an attempt to control outbreaks and they have been successful.&#x0D; When contact tracing is performed manually, it needs staff interviewing people who have been diagnosed with the disease to figure out who they may have recently been in contact with. Then, they have to contact and tell those people they may have been exposed. This procedure needs well trained staff and is time-consuming. Thus, with the outbreak of COVID-19, this method became unrealistic to perform, opening the way to develop digital contact tracing methods.&#x0D; This paper analyses various types of digital contact tracing developed and used in different countries and tries to understand why some worked, while others haven’t, focusing on the issue of privacy and co-production, which are important issues in using new digital technology.
Evaluation of Online Student Learning During the Covid-19 Pandemic (Case Study in Development Economics Study Program, Faculty of Economics, UNNES)

Restrictions on activities to minimize the spread of the virus have a huge impact on community activities, including teaching and learning activities.There are many obstacles, such as the difficulty in finding good internet signals by students in remote villages, boredom of learning at home, lecturers who only gave PPT without explaining again and others.These obstacles certainly have an impact on student achievement and somewhat shift the conventional learning process.In addition, most of student's achievement has also decreased due to the lack of convenience in virtual learning.The objectives of this research were to identify the obstacles learning experienced in the Development Economics Major during the COVID-19 pandemic, and evaluate learning activities in the Development Economics Study Program during the COVID-19 pandemic.The research method used was descriptive qualitative analysis, while the data were taken from primary data.The primary data were obtained by conducting interviews using questionnaires with students, and lecturers as the respondents.The results showed that the majority of obstacles faced by students and lecturers in online learning was mainly due to the weak signal or inadequate internet.This was because some students live in areas with poor signal, and the limited internet quota they had.Hence, it is necessary to provide interesting learning techniques so as not to cause boredom for both students and teaching staffs.
Intensifying Employees' Job Performance in Palestine Banking Sector: How Personal Attributes Tell Us?

This study sought to examine the impact of personal attributes (motivation, proactive personality, and self-esteem) on job performance among the employees of Palestinian banks, particularly the national banks in the Gaza strip. A total of 160 banks’ employees participated in the study, representing 86.25 per cent of the response rate. Empirical findings from Pearson correlation coefficient and multiple linear regression analysis demonstrated that motivation (r = .644, β = .247, p&lt;.01), proactive personality (r = .727, β =.417, p&lt;.01), and self-esteem (r = .612, β = 0.284, p&lt;.01) were all positively and significantly related to the employees’ job performance. Several recommendations were reached, the most important being that the national banks’ administrations should provide various training programs, embrace the approach of flexible working hours, and create programs that can strengthen the employees’ intrinsic motivation.
Raising awareness of the impact of climate change on coastal regions. A citizen science-based approach within the SECOSTA project

&amp;lt;p&amp;gt;Coastal regions will be highly impacted by climate change due to the rise of sea level and the impacts of warmer sea temperatures on coastal ecosystems. Moreover, for those regions whose economy is highly dependent on coastal activities, such as maritime transport or coastal tourism, the assessment of coastal vulnerability to climate change is crucial to guarantee their economic resilience. Since 2018, the SECOSTA project (https://secosta.wordpress.com/) has launched different citizen science-based programs (SOCLIMPACT, VENOM, DECIMATE) focused on monitoring the impact of climate change on coastal areas. The goal is twofold. On the one side, the SECOSTA project aims to make high school students aware of climate change and of the work developed by scientists. On the other hand, the students contribute to the acquisition of data that will be used in scientific studies afterwards. The SECOSTA project strategy is the following. First, different low cost and open source devices are designed to measure with a reasonable degree of accuracy several parameters (e.g. sea level, atmospheric pressure, beach topobathymetry, sea temperature). Second, high school teachers are trained in dedicated workshops to build those devices with their students. Third, the teachers develop educational multidisciplinary projects in their schools around a particular topic of interest (e.g. sea level rise, ocean warming...) involving the data acquisition. This phase is guided by the scientists who also provide educational resources to help in the development of the educational projects. Finally, the observations obtained by the students are processed by the scientists and incorporated in several research projects as additional datasets.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The project has been successfully implemented creating a robust synergy among researchers, the regional government and secondary schools. To date, close to 20 different secondary schools have taken part in the different initiatives, involving more than 2,000 students per year in the construction of devices, acquisition and processing of data. In light of the success of previous terms, in 2022, the SECOSTA project is going to hold a conference that will serve as a forum for the participating high schools to present the results of their scientific studies. In this presentation we will describe the different steps of the project along with some recommendations about the lessons learned during these years for a successful deployment of citizen-science based projects in secondary schools.&amp;lt;/p&amp;gt;
The frequency of the rhetorical pattern of undergraduate thesis background section in English education departments of two universities in Aceh

This research examined the rhetorical pattern of thesis background, particularly the undergraduate scripts of English education department students. The study aims to find out the frequency of the rhetorical patterns in writing thesis background. The approach used in this study is a qualitative method based on content analysis. The sample consisted of 20 English education undergraduate theses from two universities in Indonesia. The data were analyzed based on Kanoksilapatham (2005) classification by following the framework of Swales’s CARS model (2004). The results show that the undergraduate students of English departments have a similar frequency of the rhetorical pattern with the framework guidance. Although some students have reached an adequate standard in writing research background using their own way, they also should improve the language style in academic writing.
Measuring the entire degree centrality in Yokokai

Centrality is one of the most important indexes in network calculation.Based on the definition, more than 400 different centrality such as degree, betweenness have been developed.All centrality indexes are calculated using the number of connection line, and its position in a given network.In automotive industry, keiretsu is considered as one of typical networks.It is crucial to measure the centrality of transaction network in the keiretsu.It is widely wellknown that different parts play different roles in assembly line.Thus, the importance of each connect line in a transaction network should be measured based upon the importance of the parts.A new parts-importance weighted centrality model is proposed in this paper.
Arithmetic Additive Coding and Linear Reversible Equations for Text Encryption Using Prime Modules and Multiplication Inverses

Water the Elixir of Life and a precious Natural Resource found in various places depending on the Climatic and Geographic Conditions. Various activities like Domestic, Industrial with more and more Urbanized tasks leading to the pollution and deteriorating water quality. Inundation of Sewage water with various nutrients load increase the plant growth in the water body leading to the process of Eutrophication and altered Physico Chemical Parameters. Jalmahal Lake (ManSagar) surrounded by hills and specially in Rainy season surface weathering of mountains, rocks make water quality contaminated. Various Physico Chemical Parameters like pH, EC, TDS, Color orHue, Odour, Nitrates, Hardness, D. O, and Heavy Metals like Mercury, Cadmium, Chromium, Iron, Zinc lead to Chronic Poisoning in Aquatic Life and its Environment.Algal Blooms are the main reason behind the Eutrophication of Water Bodies.Analysis of Water Quality and regular monitoring of Effluent Water Discharge should be done seasonally every wear.
The Role of Distributed Leadership in Achieving Organizational Ambidexterity among Female Leaders of Public Schools in AL- Madinah Al-Munawwarah from the Point of Views of Female Teachers: دور القيادة الموزعة في تحقيق البراعة التنظيمية لدى قائدات مدارس التعليم العام بالمدينة المنورة من وجهة نظر المعلمات

The study aimed to identify the role of distributed leadership in achieving organizational ambidexterity among Female Leaders of Public Schools in AL- Madinah Al-Munawwarah from the Perspective of Female Teachers, identify the reality of their practice of both distributed leadership and organizational ambidexterity, to reveal the relationship between distributed leadership and organizational ambidexterity ,and to reveal the differences between the Perspective of Female Teachers about the role of distributed leadership in achieving organization ambidexterity among them according to their number of years of service variable and educational qualification variable. To achieve the purpose of the study, the study used the descriptive survey method and a questionnaire as the study tool for data collection. The study sample consists of 373 teachers from Public Education Schools in AL- Madinah Al-Munawwarah. The data was analyzed by using the Statistical Package for the Social Sciences program (SPSS). The study revealed the following results: the practice of both distributed leadership and the organizational ambidexterity among leaders came to a large extent, It also showed the existence of a positive statistically significant relationship between the estimation of education school teachers for the leaders ’practice of distributed leadership and their degree of organizational ambidexterity, and there are no differences with statistical evidence between the averages of the study sample about the role of distributed leadership in achieving organizational ambidexterity among the leaders of Public Education Schools in AL- Madinah Al-Munawwarah from the teachers’ Perspective according to their number of years of service variable and educational qualification variable. Finally, the study recommends putting an Excellence award for an Effective leadership practice and establish a local digital platform for consultancies.
The effect of group work strategy in English teaching and learning in SMP Bandar Lampung

This research aims to analyze the effect of group learning strategies in teaching and learning English at the stage of junior high schools in Bandar Lampung. Moreover, this study used a descriptive qualitative research. Observation, open-ended questionnaires, and interviews were used in this study. The result of this study showed that the group work strategy had significant effect towards English learning outcomes. In addition, some teachers and students approved that the group work strategy is an active learning strategy. It was proven by teachers’ answers on open-ended questionnaires. In sum, it can be inferred that group work strategy can be used to make an active learning and improve students’ outcomes in learning English. Although in pandemic situation, group work strategy can be applied by using some application which can support teaching and learning English.
THE IMPACT OF SOCIAL NETWORKING SITES ON EMPLOYEE JOB RECRUITMENT

Job recruitment is a very important process in the building of an organisation. Recruitment is tough in the current pandemic environment. But many companies are looking into online recruitment portals to improve job recruitment. Potential Employees can apply to a vast array of these recruitment portals to improve their chances of landing a job. These Websites allow people searching for a job to display their Curriculum Vitae and past experience and achievements. With the advent of these sites, the entire job recruitment process is streamlined. Social Networking Plays a major role in the recruitment process of modern organisations and has become more widespread due to the pandemic. Keywords: Recruitment in IT Sector, Social networking sites, Recruitment through social sites, Talent acquisition, Recruitment through Linkedin, Recruitment through Face book, Recruitment through twitter
iPad Use in an Environmental Engineering Course

The purpose of this project was to introduce an upper level engineering course to iPad use for classroom instruction.The iPads granted the students access to course materials, discussion boards, blackboard journals, and many other features of electronic teaching devices.The students were required to keep an online journal, with at least one posting per week including a picture, as to the progress of an environmental project.With an iPad the students were able to take the picture, upload it, and create a journal entry all at once which added a convenience factor to the project.The surveys and discussions showed that students enjoyed having an iPad and it did help with the project.However, the students did not use the iPads for note-taking purposes so it did not reduce the amount of paper in the class by a substantial factor.
DESAIN DAN OPTIMISASI STAND ALONE PV PANEL SYSTEM UNTUK BUDIDAYA UDANG VANNAMEI PADA KOLAM BUNDAR DI KABUPATEN LOMBOK UTARA

Cultivating vannamei shrimp using round ponds is an alternative way of cultivation to minimize the significant investment costs. One of the obstacles in vannamei shrimp cultivation is the availability of Dissolve Oxygen (DO) in water. By utilizing solar energy which is converted into electrical energy, DO levels can be maintained with an aeration system that utilizes solar energy. North Lombok Regency has the potential for solar energy which reaches 4.91 kWh / m2 / day with a minimum clearness index of 0.446 which is very potential to be utilized. The purpose of this research is to find the optimal design for a stand alone panel PV system to serve the electrical energy needs of vannamei shrimp farming in round ponds. The method used is to calculate the most optimal design with HOMER (Hybrid Optimization Model for Electric Renewables) software to be able to serve the average energy requirement of 38.2 kWh / day. From the analysis, it was found that the most optimal designs were the PV panel brand A 16.8 kW, the PV panel brand B 1 kW and the 200 Ah battery with a total of 104 units. Keywords : cultivation, energy, optimization, pv panel, shrimp
Hubungan Peran Orang Tua Sebagai Motivator terhadap Prestasi Belajar Siswa Kelas II SD

The problem in this study relates to the description of the role of parents as a motivator to determine its relationship with the learning achievement of class II students of SD Inpres Pai 1, Biringkanaya District, Makassar City. This study aims to determine the description of the role of parents as motivators and a description of the learning achievement of second grade students at SD Inpres Pai 1, Biringkanaya District, Makassar City, and to find out whether there is a relationship between the role of parents as motivators for student achievement in class II at SD Inpres Pai 1, Biringkanaya District, Kota Makassar. This research is a descriptive correlational quantitative research. The population in this study were second grade students of SD Inpres Pai 1, Biringkanaya District, Makassar City, totaling 68 students. The research sample was class II students, totaling 34 students. The technique of data collection is done by using questionnaire and documentation technique, while the data analysis technique is using Product Moment correlation analysis technique. The results showed that (1) the role of parents as motivators was in the high category (2) student achievement was in the high category, and (3) there was a significant relationship between the role of parents as motivators and the learning achievement of grade II students at SD Inpres Pai. 1 Biringkanaya District, Makassar City.
Analysis of Personalized Recommendation System on Cloud Platform

A good recommendation system can recommend a group of movies to users based on their interests or the popularity of the films. The recommendation systems are important because they assist them in making good choices without requiring them to expend their time. It is difficult and expensive for programmers to build an on-premise recommendation system to automate this process as there is a massive increase in data volume which requires high computational capacity. This paper describes the deployment of a movie recommendation engine in a cloud storage environment that uses ALS algorithm and POST API. The advantage of such a deployment is the use of cloud factors in the generation of recommendations, the cloud and the cloud environment promises high availability and thus reduces downtime for recommendation services.
JPR volume 59 issue 1 Cover and Back matter

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Perancangan Sistem Informasi Penggajian Pada Cv Juata Jaya Teknik Bekasi

Along with the development of the times, human needs for technology are increasing along with the development of information technology that is increasingly rapid. The desire of humans to do things easily and quickly. To improve company performance, it can use information technology, especially computers, companies can manage information quickly and can be superior to other competitors. CV Juata Jaya Teknik is one of the companies engaged in contracting, this company offers contractor services with services that are fast, effective, and flexible, always trying to understand and serve wholeheartedly by realizing customer expectations for security, facilities, effectiveness and efficiency. Changes from time to time make developments in the field of technology increasingly diverse. Starting from the transportation sector, daily needs to the systems that exist in the company. One of them is the employee payroll system, in payroll some calculations are needed that refer to the SOP of the company. So that the system built can be adjusted to the needs and SOP of the company itself. With the employee payroll system application, it can simplify the data processing process quickly, accurately and efficiently so that it can avoid data delays and disharmony
Impact of Parenting Style on Children

The community, and especially the family, affects children’s academic learning. Parents influence children’s current and future learning behaviors. Numerous studies have demonstrated a relationship between parenting style and children’s behavioral problems such as antisocial behaviors and delinquency, so the modification of parenting styles could have a positive impact on the interactions between parents and children. In the literature on children’s learning, parental influence has long been recognized as an important aspect of research, but parent-related factors are mostly unknown. In particular, a factor that can affect parents’ attitudes and children’s views of learning is parenting style. Therefore, this study aims to examine children’s knowledge of learning utilizing a parenting styles’ perspective. The determining role of demographic characteristics in academic learning skills is critical and is investigated in this study. Through interviews, children’s familiarity with parenting style was assessed. Results indicated that older children and those with higher socioeconomic status had better skills in this field. The results also showed that parents could improve their children’s ability of learning by less use of inconsistent discipline and corporal punishments. Parental negligence, contradictory use of corporal punishment, and nonuse of positive behaviors are some factors which are most likely related to children’s outcome of learning. The findings of this study can guide parents and assist relevant authorities to implement policies to more effectively train young children by developing practical and targeted resources.