Reviewerly/exHarmony huggingface dataset:
THE ROLE OF E GOVERNANCE IN IMPROVING THE WORK ENVIRONMENT WITHIN GOVERNMENT SERVICE SECTORS - APPLIED STUDY ON THE MINISTRY OF YOUTH AND SPORTS

The study aims to identify role of governance in improving the work environment within the service government sectors by applying to the Egyptian Ministry of Youth and Sports, as well as studying the extent of benefiting from the application of governance in improving the regulatory environment and the physical environment within the Ministry of Youth and Sports as one of the most important service sectors that provide services to more categories In Egypt, they are the youth category, the nucleus of society, where the ministry is able to apply the principles of governance to eliminate administrative, organizational and environmental obstacles and achieve the goals that it aspires to. The study was conducted on (125) individual officials in the higher management of the various sectors of the ministry, and the central, public and subordinate departments of the ministry on Republic level. The researchers used the inductive and deductive approach, and the descriptive and analytical approach to complete the study. A questionnaire was designed for the study sample officials to measure the impact and role of governance in improving the organizational and material environment and reducing corruption.The researchers reached the following results: There is a statistically significant relationship between governance and improving the physical work environment.
THE EFFECTIVENESS OF USING FOUR CORNERS STRATEGY TOWARDS STUDENTS’ WRITING ABILITY IN HORTATORY EXPOSITION TEXT AT MA AL-MUSLIMUN LAMONGAN IN ACADEMIC YEAR 2018/2019

ABSTRACT Izza, Aprilia Nur Afidatul: Student Registered Number: 17203153053, 2019. The Effectiveness of Four Corners Strategy toward Students’ Writing Ability in Hortatory Exposition Text at MA Al-Muslimun Lamongan in Academic year 2018/2019. Sarjana Thesis. English Education Department. Faculty of Tarbiyah and Teacher Training. State Islamic Institute (IAIN) of Tulungagung. Advisor: Muh. Basuni, M.Pd Keywords: Writing Skill, Four Corners, Hortatory Exposition. To make writing activity more enjoyable and exited, teacher should use appropriate strategies. By using appropriate strategies, may decrease students anxiousness and increase students’ achievement in writing. This research offers a strategy which can be an alternative to improve students’ writing ability especially in writing hortatory exposition text. The researcher uses four corners strategies as writing strategy. Four corners strategy is an approach that asks students to make decision about problem or question. The problem of the research are; (1) Is Four Corners Strategy Effective or not for teaching writing hortatory exposition text at Senior High School? (2) Is there any significant difference between students’ writing hortatory exposition text before and after being taught using four corners strategy at Senior High School? This research is aimed to; (1) To know whether four corners strategy effective or not to teaching writing hortatory exposition text at Senior High School. (2) To find out whether there is any significant different on the students’ writing hortatory exposition text before and after being taught using four corners strategy at Senior High School. In this study, the researcher used quantitative research with pre-experimental design one group pre-test post-test. It was conducted, 16th February 2019-24th February 2019. The population of this research is all of second grade of MIA at MA Al-Muslimun Lamongan consist of 35 students. The sample of this research is XI MIA 2 class within 15 students. The sampling technique was purposive sampling technique. The analysis of the data showed whether the data includes in non-parametric by testing normality and homogeneity. The researcher used SPSS 16.0 to calculate the data. The result of this research the T-test is -21.529, with the df = 14, and the p-value (two-tailed) is 0.000. Given that the present test is one-tailed test, so the p-value (0.000) is divide to: 0.000 /2= 0.000. Since 0.000 is smaller than significance level (α) 5% or 0.05, so the null hypothesis is rejected. It automatically accepts alternative hypothesis. It means that there is significance differences before and after being taught using four corners strategy in teaching writing hortatory exposition text.
Age Classification Based on Relative-Features Derived on Circular and Elliptical Neighborhoods using Machine Learning Classifiers

Age classification based on human faces plays a significant role in the real world, such as business intelligence, human-computer communication (HCI), and visual observation. The locally-based approaches of age classification attained significant results; however, the researchers mainly considered circular neighborhoods only. A little work is reported based on elliptical patterns, mainly due to the complexity and high dimensional features. The circular, elliptical LBP(CE-LBP) addressed this issue by summing the vertical and horizontal elliptical pixel values with the corresponding circular neighborhood pixel value. The CE-LBP has not derived any relationship between circular and vertical or horizontal elliptical LBPs. This paper computed two frameworks, namely circular and vertical elliptical uniform matrix (CVE-UM) and circular and horizontal elliptical uniform matrix (CHE-UM). These two matrices derive the relative frequencies of isotropic and vertical or horizontal anisotropic patterns. To reduce the dimensionality, uniform patterns are derived. The grey level Co-occurrence matrix features are derived from the proposed frameworks. Machine Learning classifiers are used for classification purposes. The experimental results indicate the efficacy of the proposed method with machine learning classifiers for age classification.
Social-Kandinskills: Mejorando habilidades sociales con Kandinsky

This article focuses on improving the social skills of infants from 3 to 4 years old in their in-corporation to the second cycle of early childhood education, especially in those areas where prior schooling is scarce, with the aim of developing social skills and improve the atmosphere of coexistence, within the classroom and also with different agents of the educational community. Cooperative learning, gamification and the works of the artist Kandinsky are used to achieve this objective, designing different activities of expression, cooperation, group cohesion and reflec-tion. Along these lines, the project proposes three axes: (1) Proposals for artistic expression and the promotion of creativity, (2) Cooperative games and group dynamics, and (3) Reflection and debate activities. Previous studies link the improvement of social and emotional skills with art-based programs; art, in addition to being a language in itself, is a key tool in the early childhood education, where it is considered a way of expression, creativity, respect, the strengthening of self-esteem and self-knowledge. The design of art-based programs can also enhance cooperation, improve quality interactions between infants and other agents, as well as the acquisition and improvement of skills, in this case, social ones.
Online Exam Application Study Using the Pieces Framework Method

To find out the level of success in web-based or online implementation and have to do an evaluation. Evaluation is in the form of a reference or benchmark used in relation to the audit of the information system analysis method itself, by looking at the performance of a system quantitatively and qualitatively. The purpose of this study was to evaluate the level of success, efficiency, effectiveness, and company profits in implementing an online-based exam system conducted at the AMIK Tunas Bangsa Pematangsiantar campus. In providing analysis or evaluation of a system, it can be done with several analytical models. In this study, a model analysis framework will be used, namely by using the Pieces Framework method.
A Hierarchical Multi-label Classification of Multi-resident Activities

In this paper, we tackle the problem of daily activities recognition in a multi-resident e-health smart-home using a semi-supervised learning approach based on neural networks. We aim to optimize the recognition task in order to efficiently model the interaction between inhabitants who generally need assistance. Our hierarchical multi-label classification (HMC) approach provides reasoning based on real-world scenarios and a hierarchical representation of the smart space. The performance results prove the efficiency of our proposed model compared with a basic classification task of activities. Mainly, HMC highly improves the classification of interactive activities and increases the overall classification accuracy approximately from 0.627 to 0.831.
Augmented Reality based Mobile Application for Energy Monitoring and IoT Device Control

IoT has become an integrated part of our lives changing ways in which we operate our everyday appliances. In addition to making our home appliances smart, it has become a common trend for companies to adopt industry 4.0, which uses various sensors to monitor the equipment, machinery, and the work environment. We often come across multiple brands which make smart appliances but each brand comes with its separate mobile application for the appliance's operation. This requires us to switch between Apps to control these appliances if we at all remember which App controls which appliance. We intend to solve these two major inconveniences by creating a single mobile application that can control all these appliances using Augmented Reality technology. All we have to do is point our camera at the appliance that we need to operate and the App will display control options in real-time AR. This paper produces five important contributions: 1) An AR-based mobile application to control IoT devices and monitor the environment. 2) Implementing the mobile application using Unity 3D engine and Vuforia SDK. 3) Integrating a commercially available IoT device with the mobile application. 4) Integrating custom-made hardware IoT device with mobile application. 5) Integrating this combination to make our industries and homes smarter Keywords:
PENINGKATAN KETERAMPILAN MENULIS TEKS CERITA FABEL DENGAN METODE DISCOVERY LEARNING MELALUI MEDIA GAMBAR BERSERI

Abstract This study aims to determine the improvement in the quality of the process and the quality of writing fable story text using discovery learning methods through serial media in class VII A students of Islamic Middle School Nurul Ulum Kemiri, Malo District, Bojonegoro Regency. This type of research is Classroom Action Research (CAR) with the subjects of class VII A as many as 28 students. This research was conducted in two cycles, each cycle consisting of four components, namely planning, implementation, observation and reflection. The data collection method uses the method of tests, observations, interviews and photo documentation. Data analysis techniques using comparative descriptive techniques. The results showed that the use of discovery learning method through serial media can improve the quality of the learning process of writing fable story texts as seen from changes in student attitudes on several aspects. Improving the quality of writing results can be seen from the acquisition of the average value in the pre-cycle, cycle I, and cycle II. In pre-cycle only reached 70.93 with less categories. In cycle I it increased to 75 in the good category and in cycle II it again increased to 81 in the excellent category. The increase that occurred from cycle I to cycle II reached 93% completeness.Keywords : writing skills, fable story texts, discovery learning methods, serial media images
Beta Survival Models

This article analyzes the problem of estimating the time until an event occurs, also known as survival modeling. We observe through substantial experiments on large real-world datasets and use-cases that populations are largely heterogeneous. Sub-populations have different mean and variance in their survival rates requiring flexible models that capture heterogeneity. We leverage a classical extension of the logistic function into the survival setting to characterize unobserved heterogeneity using the beta distribution. This yields insights into the geometry of the problem as well as efficient estimation methods for linear, tree and neural network models that adjust the beta distribution based on observed covariates. We also show that the additional information captured by the beta distribution leads to interesting ranking implications as we determine who is most-at-risk. We show theoretically that the ranking is variable as we forecast forward in time and prove that pairwise comparisons of survival remain transitive. Empirical results using large-scale datasets across two use-cases (online conversions and retention modeling), demonstrate the competitiveness of the method. The simplicity of the method and its ability to capture skew in the data makes it a viable alternative to standard techniques particularly when we are interested in the time to event and when the underlying probabilities are heterogeneous.
The opportunities and challenges for ICT in science education

The article examines the opportunities and challenges for the use of ICT in science education in the light of science teachers’ Technological Pedagogical Content Knowledge (TPACK). Some of the variables that have been studied with regard to TPACK framework in science classrooms (such as teachers' self-efficacy, gender, teaching experience, teachers’ believes, etc.) are reviewed, also variations of TPACK framework specific for science education are elaborated. In conclusion some of the aspects of TPACK in science education that need to be addressed in future are indicated, e.g. the development of subject specific ICT-based resources and e-learning platforms; training to develop science teachers’ integrated skills for the implementation of ICT in their subject teaching; the importance of continuous encouraging of science teachers’ for their participation in in-service training related to the use of ICT; and the examination of the role of science teachers’ TPACK in developing of students’ 21st century trans-disciplinary skills.Article detailsArticle: Ferk Savec, V. (2017). The opportunities and challenges for ICT in science education. LUMAT: International Journal on Math, Science and Technology Education, 5(1), 12–22. https://doi.org/10.31129/LUMAT.5.1.256Citations: Google ScholarLicense: CC BY-NCFull text: https://doi.org/10.31129/LUMAT.5.1.256
Delta Lenses as Coalgebras for a Comonad.

Delta lenses are a kind of morphism between categories which are used to model bidirectional transformations between systems. Classical state-based lenses, also known as very well-behaved lenses, are both algebras for a monad and coalgebras for a comonad. Delta lenses generalise state-based lenses, and while delta lenses have been characterised as certain algebras for a semi-monad, it is natural to ask if they also arise as coalgebras. This short paper establishes that delta lenses are coalgebras for a comonad, through showing that the forgetful functor from the category of delta lenses over a base, to the category of cofunctors over a base, is comonadic. The proof utilises a diagrammatic approach to delta lenses, and clarifies several results in the literature concerning the relationship between delta lenses and cofunctors. Interestingly, while this work does not generalise the corresponding result for state-based lenses, it does provide new avenues for exploring lenses as coalgebras.
Smart Surveillance Security Systems 4s for Detection using SIFT and SURF in Image Processing

Surveillance video is used for security purpose in our daily life in various places. It is used to observe the unusual activity that is taking place around us. Today in most of the shop owners have CCTV cameras to record, the uncertain activities and even it is used in houses in remote places. A system must be smart enough to detect. This paper uses SIFT and SURF algorithm for detection. Image registration is a development in which more than two images from various imaging equipment are reserved at various angles and at various times from the identical prospect and geometrically aligned for further exploration. Data may be from different sensors, CCTV taken at different times, depths, or perspective. Feature-DetectorDescriptor plays a vital role in feature matching application for selection of feature; this paper presents a comparative analysis of SIFT, SURF, algorithms. Experiments have been conducted on a wide range of images taken from datasets. A quantitative comparison is presented. This paper gives an useful ideas for making important decisions and it also helps in providing a smart security system.
Verification of the Incremental Merkle Tree Algorithm with Dafny.

The Deposit Smart Contract (DSC) is an instrumental component of the Ethereum 2.0 Phase 0 infrastructure. We have developed the first machine-checkable version of the incremental Merkle tree algorithm used in the DSC. We present our new and original correctness proof of the algorithm along with the Dafny machine-checkable version. The main results are: 1) a new proof of total correctness; 2) a software artefact with the proof in the form of the complete Dafny code base and 3) new provably correct optimisations of the algorithm.
Analysis of the Functional Space Area Configuration of a Large General Hospital in the Preliminary Planning Stage

The area configuration of different functional spaces has an important impact on the preliminary planning of large general hospitals. This paper takes a 2000-bed hospital in Zhejiang Province as an example to introduce the area configuration of hospital’s functional space in detail, including the main functional rooms on the ground and the underground buildings, and the area configuration is analyzed. The results show that the average construction area of hospital beds is 191 square meters, and the total area of buildings for seven facilities, underground garage, medical research rooms and rooms for medical equipment accounts for 92.4%. In the decision-making stage of hospital construction, the area configuration of these four functional spaces should be focused to meet the needs of the hospital’s operation and development.
ANALISA SISTEM KOORDINASI PROTEKSI RELAY ARUS LEBIH DAN RELAY GANGGUAN TANAH PADA PENYULANG ANTING DI GARDU INDUK DURI KOSAMBI

The distribution of electric power is one of the most important parts of the distribution of electric power because this is where electricity can arrive and be used by consumers. There are 2 types of electric power distribution systems, namely the Medium Voltage Network (JTM) and the Low Voltage Network (JTR). In general, the medium voltage network is used for corporate consumption and the low voltage network is used for household consumption. Distribution networks are very susceptible to disruption either in the form of sudden fluctuations in current or disconnection of channels that cause an open circuit. Based on these reasons, a protection system is needed that can protect the distribution of electric power in order to avoid and reduce the impact of all electrical problems that occur. The main requirement for a protection system is to have good sensitivity in detecting a disturbance, and have a level of reliability that meets the standards of the state electricity company.
Exploring Rationality of Self Awareness in Social Networking for Logical Modeling of Unintentional Insiders

Unawareness of privacy risks together with approval seeking motivations make humans enter too much detail into the likes of Facebook, Twitter, and Instagram. To test whether the rationality principle applies, we construct a tool that shows to a user what is known publicly on social networking sites about her. In our experiment, we check whether this revelation changes human behaviour. To extrapolate and generalize, we use the insights gained by practical experimentation. Unaware users can become targeted by attackers. They then become unintentional insiders. We demonstrate this by extending the Isabelle Insider framework to accommodate a formal model of unintentional insiders, an open problem with long standing.
The Relationship Between E-learning During Coronavirus Pandemic and Job Burnout among Faculty Members in Public and Private Universities in Jordan

This study aimed to determine whether there is a relationship between the level of e-learning during the Coronavirus pandemic and job burnout among faculty members in public and private universities in Jordan, to improve the e-learning experience and make it reach the best possible levels to avoid the increased feeling of burnout among faculty members.The study population consisted of all faculty members working in Jordanian public and private universities for the year 2021, and their number is approximately (11,400) members.The unit of analysis included all academic ranks operating within the mentioned universities (Professor, Associate Professor, Assistant Professor, Lecturer).A stratified Random Sample was calculated using the university variable at 6%, which is considered an appropriate proportion to represent the study population.The sample size reached 684 faculty members and a study tool (questionnaire) was distributed electronically among them.(580) questionnaires were retrieved from the sample members and (55) were excluded because they were not suitable for analysis.Therefore, the final number of questionnaires that are suitable for statistical analysis is (525) questionnaires.The study found that the level of elearning, as well as the level of burnout, were moderate among faculty members in public and private universities in Jordan.Also, the study found that the sample members' perspective of the e-learning level was similar in most of the variables except for the type of university variable (public or private), as well as for the job burnout variable, where it was similar towards most variables except for the variable of academic rank.The study concluded that there is a negative correlation with a statistical significance between the level of elearning and the level of job burnout among the study sample, in addition to the existence of a negative correlation between all areas of e-learning and all areas of job burnout.
Meningkatkan Hasil Belajar Materi Bercerita Dengan Kalimat Efektif Dengan Menerapkan Pendekatan Communicative Language

This study aims to determine whether nor not there is an increase in learning outcomes in storytelling material with effective sentences through the application of the Communicative Language Approach to Grade 5 students of SD Negeri Airlangga I/198 Surabaya, and to find out how much improvement in learning outcomes in storytelling materials with effective sentences through the application of this approach. Communicative Language for Grade 5 students of SD Negeri Airlangga I/198 Surabaya. Teachers are required to be able to adapt, choose and integrate various types of approaches and learning approaches in delivering material. This aims to make it easier for students to accept the material presented and avoid student boredom, so it is hoped that using the Communicative Language Approach in this thematic learning can improve understanding of Storytelling Materials with effective sentences for Class 5 students of SD Negeri Airlangga I/198 Surabaya. Action research was carried out in two learning cycles by applying the Communicative Language Approach and student learning outcomes on storytelling material with effective sentences as the object of research. Based on the explanation of the results of the research and discussion, it can be concluded that there is an increase in learning outcomes of storytelling materials with effective sentences through the application of the Communicative Language Approach to the 5th Graders of SD Negeri Airlangga I/198 Surabaya.