Reviewerly/exHarmony huggingface dataset:
CRITICAL READING SKILLS, ACADEMIC VOCABULARY MASTERY, AND ARGUMENTATION WRITING SKILLS

The purpose of this study was to investigate argumentation writing skills in terms of critical reading and student academic vocabulary mastery. This research was conducted at the Department of English Education, Semester VII, STKIP Kusuma Negara Cijantung. The research method used is a correlation survey with technical regression analysis. Collecting data from research variables using test instruments. The results of this study reveal that: (1) critical reading has a positive effect on students' argumentation writing skills; (2) academic vocabulary mastery has a positive influence on students' argumentative writing skills; and (3) critical reading and mastery of academic vocabulary have a positive influence on students' argumentative writing skills. Therefore, it can be concluded that the improvement of critical reading skills, mastery of academic vocabulary supports the improvement of students' argumentation writing
Impulse Noise Removal Using Soft-computing

Image restoration has become a powerful domain now a days. In numerous real life applications Image restoration is important field because where image quality matters it existed like astronomical imaging, defense application, medical imaging and security systems. In real life applications normally image quality disturbed due to image acquisition problems like satellite system images cannot get statically as source and object both moving so noise occurring. Image restoration process involves to deal with that corrupted image. Degradation model used to train filtering techniques for both detection and removal of noise phase. This degeneration is usually the result of excess scar or noise. Standard impulse noise injection techniques are used for standard images. Early noise removal techniques perform better for simple kind of noise but have some deficiencies somewhere in sense of detection or removal process, so our focus is on soft computing techniques non classic algorithmic approach and using (ANN) artificial neural networks. These Fuzzy rules-based techniques performs better than traditional filtering techniques in sense of edge preservation.
Expressing the Adaptation Intent as a Sustainability Goal

Adaptation and sustainability are two key challenges leading the development of software-systems nowadays. Adaptation denotes the capacity of a system to cope with variations and uncertainties at runtime in order to continue providing its functionalities with certain quality levels, notwithstanding change. But how can adaptation and its intent be expressed at design time so that to analyze its possible impact at runtime over a long period of time? To answer this question we look at adaptation from the sustainability point of view. Sustainability denotes the capacity of a system to both endure and preserve its function over time. We propose an approach which uses decision maps to make sustainability-driven decisions for adaptation in a systematic way. The proposed approach is illustrated through two self-adaptive exemplars as illustrative cases.
Stabilizing Student Engagement in Teaching English at SDIT At-Taqwa Surabaya

Abstract: The COVID-19 pandemic situation that occurred over a long period of time had quite an impact on student learning methods. These emerging learning innovations greatly impact the involvement of students, especially elementary school children. This study aims to identify the relationship between engagement strategies and student's involvement in a hybrid-based English class at SDIT AT-Taqwa Surabaya. This research is a descriptive qualitative study. Data were collected through a process of observation and questionnaires that focused on the types of engagement strategies used, as well as the responses shown by grade 1A and 1B students at SDIT AT-Taqwa Surabaya. The results show that the students' engagement strategies used by grade one English teachers at SDIT AT-Taqwa are varied. These strategies are socio-affective, design, and organization engagement. Teachers strongly emphasize the use of socio-affective engagement strategies, especially in order to increase students' emotional involvement. The teacher understands that to create an active, collaborative and conducive hybrid class, the teacher must build a sense of comfort among the students in the classroom. In other words, the teachers realize that emotional involvement is the foundation in triggering cognitive and behavioral engagement. It can be stated that the hybrid-based English classes at SDIT AT-Taqwa are being conducted successfully and wisely in a very balanced online and offline approach using the available resources.
PENINGKATAN PENGELOLAAN KEUANGAN YAYASAN MELALUI PENGEMBANGAN SISTEM INFORMASI AKUNTANSI PADA YAYASAN AS-SHOFI DI DESA MONTONG ARE KECAMATAN KEDIRI LOMBOK BARAT

Foundation is a non-governmental organization that operates outside the institutionalized political structure and is a volunteer service entity that aims to help others in reducing social problems. The financial statements of this foundation are needed as accounting information for users, both internal and external parties, such as donors, foundations, creditors, organizational members, and other parties for decision making (Anand, 2018). This community service activity will develop an accounting information system at a Foundation. Asshofi Raehan Lombok Foundation is a non-profit organization engaged in education. The method used in carrying out this activity is the design of an accounting information system in the form of a Foundation financial reporting application, training on the use of the application accompanied by ongoing assistance in the form of consultation if problems occur in the use of the application. Based on the results of community service, it can be concluded that the daily administrators and implementers at the Asshofi Raehan Lombok Foundation do not know about the existence of accounting standards that should be used to account for their financial management by making or compiling financial reports with applicable standards, namely using PSAK No. 45, Statement of Financial Accounting Standards concerning Financial Reporting of Non-Profit Entities.
MUSICAL WORK AS A SUBJECT OF AESTHETIC ANALYSIS IN THE WORKS OF R. INGARDEN

In this article the analysis of musical work its peculiarities of performance and perception in R. Ingard’s monography (polish philosopher) is considered.
THE PEDAGOGICAL CONDITIONS OF EFFECTIVE LEARNING ACTIVITY OF THE APPLICANTS FOR THE SECOND (MASTER’S) LEVEL OF HIGHER EDUCATION

The article analyzes the basic concepts of "condition", "pedagogical condition", "condition-reason", "condition-circumstance", "condition-factor", "efficiency", "pedagogical conditions", "activity", "educational activity", "higher education seeker (applicant for higher education)" and the relationship and interdependence of these concepts.&#x0D; The main pedagogical conditions that affect the educational activities of applicants for higher education of the second (master's) level are identified and characterized.&#x0D; The results of theoretical and empirical research of each pedagogical condition are presented (positive motivation to study; rapid adaptation in higher education environment; availability of pedagogical abilities; propensity for future professional activity (to the chosen profession); level of preparation for higher education; efficiency, purposefulness, availability of individual and creative opportunities, social activity, interaction with the team and others.&#x0D; Different points of view of scientists are considered in order to determine the pedagogical conditions: the first one identifies pedagogical conditions as a set of any measures of pedagogical influence and opportunities of the material and spatial environment; as a set of activities, content, methods and organizational forms of teaching and education; the second position is occupied by researchers who link pedagogical conditions with the construction of a pedagogical system that reflects a set of internal (which ensure the personal development of educational subjects) and external (contributing to the procedural aspect of the system) elements that ensure its effective functioning and further development.&#x0D; Methods of research of pedagogical conditions are characterized and results of research, their quantitative and qualitative analysis are given.
HOW TO IMPROVE OUR FLUENCY//Social Sciences: Achievements and Prospects Journal 1(14), 2022 (ISSN 2733-3825)/ Chief Editor Vitalii Vl. Klevtsov /OEAPS OU - Tallinn, Estonia (Open European Academy of Public Sciences): Berlin, Germany, 30.04.2022: OEAPS OU., 2022 - P. 63-67.

English being the universal language has 20% of the world population as its speakers. Whether you are studying in a university, talking to customer care executive, delivering a speech in a seminar, or giving a business presentation, the English language is a primary requirement in the age of information. Mastering a second language is always an arduous journey to embark on. Owing to the benefits of learning a new language as well as grasping a widely spoken language like English, spending a month understanding its basics will surely benefit you immensely.
Some Thoughts on Official Statistics and its Future (with discussion)

Abstract In this article, we share some reflections on the state of statistical science and its evolution in the production systems of official statistics. We first try to make a synthesis of the evolution of statistical thinking. We then examine the evolution of practices in official statistics, which had to face very early on a diversification of sou rces: first with the use of censuses, then sample surveys and finally administrative files. At each stage, a profound revision of methods was necessary. We show that since the middle of the 20th century, one of the major challenges of statistics has been to produce estimates from a variety of sources. To do this, a large number of methods have been proposed which are based on very different f oundations. The term “big data” encompasses a set of sources and new statistical methods. We first examine the potential of valorization of big data in official statistics. Some applications such as image analysis for agricultural prediction are very old and will be further developed. However, we report our skepticism towards web-scrapping methods. Then we examine the use of new deep learning methods. With access to more and more sources, the great challenge will remain the valorization and harmonization of these sources.
Supporting program comprehension by generating abstract code summary tree

Reading through code, finding relevant methods, classes and files takes a significant portion of software development time. Having good tool support for this code browsing activity can reduce human effort and increase overall developer productivity. To help with program comprehension activities, building an abstract code summary of a software system from its call graph is an active research area. A call graph is a visual representation of the caller-callee relationships between different methods of a software system. Call graphs can be difficult to comprehend for a large code-base. Previous work by Gharibi et al. on abstract code summarizing suggested using the Agglomerative Hierarchical Clustering (AHC) tree for understanding the codebase. Each node in the tree is associated with the top five method names. When we replicated the previous approach, we observed that the number of nodes in the AHC tree is burdensome for developers to explore. We also noticed only five method names for each node is not sufficient to comprehend an abstract node. We propose a technique to transform the AHC tree using cluster flattening for natural grouping and reduced nodes. We also generate a natural text summary for each abstract node derived from method comments. In order to evaluate our proposed approach, we collected developers’ opinions about the abstract code summary tree based on their codebase. The evaluation results confirm that our approach can not only help developers get an overview of their codebases but also could assist them in doing specific software maintenance tasks.
Alternative Pathways to Caring for Limits:The Case of Ecospirituality

Research in Computing Within Limits and the broader Sustainable Human-Computer Interaction community has shown the need to understand the values beyond the scientific rationality that motivates people to care for ecological limits.This paper looks at the role of religion in orienting people towards a limits-aware perspective and a more sustainable living.We conducted interviews with individuals at various Catholic organizations working on promoting environmental sustainability within their respective contexts.We examined how a limits-aware perspective is embedded in the faith of our interviewees, which plays out practically in their everyday work and decision-making.We discuss digital technology's role in advancing care for limits by nurturing values embedded in religion supporting sustainability.
IMPORTANCE OF UPDATING FOR MONTHLY RAINFALL PREDICTION BASED ON ECMWFs4

&lt;em&gt;There is uniqueness in climate services in East Java. Rainfall information is delivered as N-1 analysis for ongoing months N+1, N+2, and N+3 for monthly prediction. This study aims to investigate whether updating monthly predictions improves prediction accuracy. The verification method for this study is based on the percentage accuracy of the rain class category according to SNI 8196: 2015. The data used for this study is ECMWF's monthly rainfall prediction that has three lags system (1, 2, and 3). Rasters of monthly rainfall interpolation from the main rainfall observation (197 locations) in East Java from April 2015 to May 2020 (62 months) are used for the verification process. The temporal and spatial analysis then conducted using R (+ package raster). Studies based on the local governmental zone are also used. In general, the result shows that almost all months need updating, except April-September-October. Verification of ECMWFs4 shows a better verification result (0,56) in the past five years (2016-2020) for March. The regions that need monthly updating are Bawean island, the coast of Gresik, Pasuruan, and Banyuwangi&lt;/em&gt;
Determination of Optimal Elevation of Silicon Bifacial Solar Panel

In this paper, bifacial PV module was characterized to investigate the optimum height and tilt angle of bifacial solar cells in Baghdad location. The module elevation is a key factor in bifacial PVs because of the effect of self-shading on the amount of diffuse and albedo that can hit the rear side of the panel. This elevation is a function of latitude, daylight time, and season, which is never been determined before in Baghdad location up to our knowledge. Various heights above the ground were used (100, 120, 140, and 160cm), and for each height several tilt angles were taken (0°, 12°, 30°, 49°, and 70°). Data were collected in several days of November, 2020. PV parameters were characterized at each condition. Rated power of the panel showed an increase when elevation increases from 100cm to 120cm then tends to level off at 140cm and 160cm heights. This result suggests that the optimal elevation of a bifacial PV panel in Baghdad city location is 120cm. The results also showed that 49° gives the best photovoltaic performance. This can be elucidated by the seasonal effect. Since the measurements were done in winter, the optimal tilt angle should be 49° according to Baghdad latitude.
Research on the Application of Computer Big Data Technology in the Visual Communication of Sports Tennis Live Broadcast

This article introduces the realization of visual communication of sports tennis live broadcast system based on video splicing technology. First, the image is pre-processed, and then the SURF algorithm is used for image registration and splicing of the video image and the spliced image is merged. This article proposes a method for determining hot spots in panoramic videos based on motion foreground extraction. This method can smoothly track hot spots for extraction to achieve real-time sports tennis live broadcast. The implementation of this system saves manpower and financial resources in the process of live video streaming.
Underwater fish image enhancement method based on color correction

Due to the absorption and scattering of light propagation underwater, the captured underwater images often have problems such as color bias, low contrast and poor clarity, resulting in low accuracy of underwater fish identification. To address this problem, this paper proposes an underwater fish image enhancement method based on color correction to enhance the acquired fish images and improve the accuracy of fish target recognition. Firstly, color correction is achieved by stretching the L component and changing the a and b components of the CIE-Lab color space to improve image sharpness. Then the colors of the R-G-B channels of the image are equalized to reduce the color bias. Finally, the histograms of the three R-G-B channels are redistributed. Comparison experiments were conducted with existing methods on a self-built fish image dataset, and the enhanced images were analyzed from both subjective and objective evaluations. The results showed that the enhancement effect of the method in this paper is better than other methods. Finally, the comparison experiments of target recognition before and after image enhancement were conducted on YOLOv5, and the results showed that the enhanced image target recognition accuracy was 99.8%, which was 1.2 percentage points higher than that before enhancement; the average accuracy mAP was 94.5%, which was 5.6 percentage points higher than that before image enhancement. The method in this paper can effectively improve the problems of underwater images and provide technical support for underwater target recognition.
Replication of Newport and Aslin (2004) ‘Learning at a distance I. Statistical learning of non-adjacent dependencies.’ Experiment 3

As part of an ongoing project to replicate major findings regarding statistical word segmentation in adults, we replicated Experiment 3 in Newport and Aslin (2004) ‘Learning at a distance I. Statistical learning of non-adjacent dependencies.’ This experiment had reported successful learning of non-adjacent dependencies between segments. We replicate this finding.
Rancang Bangun Sistem Layanan Bebas Laboratorium Menggunakan Pengaya (Add-Ons) Autocrat

Laboratory-Free Services at the Biology Laboratory of Semarang State University are currently carried out online, but there are several shortcomings, including verification of data and document entries, as well as the creation of a laboratory-free certificate is still processed manually. The process of printing a laboratory-free certificate makes services inevitable from the use of paper. in addition, manual processes allow for data errors as well as taking longer. The purpose of this study was to design a laboratory-free service system using Autocrat Add-ons. The methods used in this study include interviews, observations, system design and testing of laboratory-free service systems using the blackbox method. The results of this study are in the form of a system that utilizes Autocrat Add-ons in laboratory-free services. All service processes can be done at any time online, as long as they are connected to the internet. Autocrat add-ons convert data entry into laboratory-free certificates. The results are sent directly to the student's email address so as to make it more paperless. From the results of the black box test, it shows that the laboratory free service system can run well as expected including aspects of short links, google forms, and autocrat add-ons functions. Theconclusion of this study is that the free service of the FMIPA UNNES biological laboratory was carried out online using the Autocrat add-ons (Add-ons) to be more effective, efficient and paperless
The application of bigdata for Intelligent building

Intelligent buildings have become an important development trend in the current construction industry. Compared with traditional buildings, intelligent buildings have shown obvious advantages in many aspects, especially in the embodiment of humanized value, which has attracted great attention. In the information age, any industry is inseparable from the technology of the Internet. With the continuous development and maturity of Internet technology, the construction industry will also combine Internet-related technologies to realize intelligent buildings. This paper summarizes the application of big data in smart buildings, mainly including the application of big data in smart home, smart energy, etc., and summarizes the problems existing in the application of big data in smart buildings, and proposes the future The development suggestions for the application of big data in intelligent buildings.
Factor analysis

Factor analysis was first considered by early twentieth century psychologists who were attempting to understand, define and measure intelligence. A factor matrix is obtained using an iterative process. First, some simple rule is used to generate a first attempt at a factor matrix, and this matrix is then used to reconstruct the correlation matrix. The modified factor matrix is again used to reconstruct the correlation matrix, the original and newly reconstructed correlation matrices are compared and the factor matrix is further modified to reduce the discrepancy. Factor scores have the merit of using all of the available information to provide values for scores on the factors, but they include a good deal of information that is attributable to chance. Factor means have the merit of only using the variables that contribute substantially to a factor.
Penerapan Pembelajaran Membaca, Menulis dan Berhitung (CALISTUNG) dan Literasi dalam Bimbingan Belajar Gratis di SDN 094135 Tigabolon

Community service activity (PkM) is carried out by students of the HKBP Nommensen University Medan at SD Negeri 094135 Tigabolon. The PkM participants consist of four students who are guided by a field supervisor (DPL) assigned by the Universitas HKBP Nommensen in Medan. This PkM is carried out within one month from 02 to 28 February 2022. This PkM is carried out as an implementation of the MBKM curriculum which is being implemented in various public and private campuses throughout Indonesia. Universitas HKBP Nommensen takes part in improving the quality of education in North Sumatra and Riau through this PkM program. This PkM is carried out outside of students' school hours with the aim of helping to optimize students' abilities at SDN 094135 Tigabolon and solve the difficulties faced by students. This PkM is held every Monday-Thursday at 13.00-15.00 WIB. This technical implementation is based on the instructions of the principal and the needs of students. This PkM is carried out by students evenly to students starting from grade one to grade six. Based on the sharing session activities carried out by DPL with PkM participating students, the PkM implementation can run well. The school accepts it well and can coordinate with all teachers in the school, including the education staff. The presence of this PkM has a positive impact on students at SD Negeri 094135 Tigabolon. Learning problems experienced by students can be resolved properly, especially in reading, writing, arithmetic, and understanding literacy well. This can be seen from the benchmark of the ability of students before the implementation of this PkM program. The school is willing to accept the next PkM participants because it has a positive impact on the school.