Reviewerly/exHarmony huggingface dataset:
The Relationship among Physical Self-concept, Cognitive Flexibility and Wellness for Elderly Participate in Physical Activity

Purpose: The purpose of this study is to investigate the relationships among physical self-concept, cognitive flexibility, and wellness in elderly individuals who participate in physical activity.BRMethod: To achieve this goal, a total of 220 questionnaires were distributed, and 220 completed questionnaires were analyzed for this study. The data were analyzed using various statistical methods, including frequency analysis, reliability analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling. SPSS Version 21.0 nad Amos 21.0 software were used for dat a analysis.BRResults: The main findings of this study are as follows: First, physaicl self-concept was found to have a positive effect on cognitive flexibility. Second, cognitive flxeibility had a positive effect on wellness. Third, physical self-concept had a positive effect on wellness. Fourth, cognitive flexibility mediated the relationship between physical self-concept and wellness.BRConclusion: Based on the findings, it is recommended to develop and impmleent physical activity programs that target improving physical self-concept. Additionally, an integrated system that monitors and supports physical activities in the elderly should be established. Furthermore, it is important to develop diverse counseling programs aimed at enhancing cognitive flexibility to promote overall wellness in the elderly population.
MEMILIH KANAL CITRA SENTINEL 2 TERBAIK UNTUK DETEKSI INTRUSI AIR LAUT DI KELURAHAN WAY URANG

The phenomenon of sea water intrusion almost occurs in all coastal areas. This phenomenon occurs scientifically and non-scientific which can lead to reduced groundwater quality. Utilization of remote sensing images, such as Sentinel 2 can be used to map the distribution of seawater intrusion in Way Urang Urban Village, South Lampung Regency. It just needs to be preceded by choosing the right band. Therefore, the statistical test process in the form of regression needs to be considered. The data needed include seawater intrusion in the field in the form of 18 sample points and Sentinel 2 Satellite Imagery. Based on the results of the regression test, bands 9, 10, 11, and 12 are bad bands with an R 2 value of 0.0032-0.0624, bands 1, 6, 7, 8, 8A with an average value of R 2 0.1171-0.0624 is a poor band, and bands 2, 3, 4, especially band 5 with R 2 0.2099-0.3483 are the best bands in mapping the distribution of seawater intrusion. However, the Root Mean Square Error (RMSE) value of band 8A is 0.2570 which is smaller than band 5 which is 0.4335. So it can be said that band 5 is the best in mapping seawater intrusion with the highest R 2 value. But if we look at the RMSE value, band 8A has better accuracy than band 5.
Developing an English Text book for Students of Computer Science

The purpose of this research is to develop an English textbook for students of computer science. This research used ADDIE (Analyze, Design, Develop, Implement, Evaluate). The researchers followed the five steps of the research procedure to produce an English textbook. Students and lecturers were involved in this research. The materials in the book were based on students' needs and have been validated by the computer science lecturers. The product has also accommodated the four basic skills and can be used as a self-study book. &#x0D;
Assessing the Quality of Machine Translation from Kurmanji Kurdish into English

The assessment of quality by the current most widely used on-line machine translation systems such as Google Translate and Bing Translator has always been a hotly debated and controversial topic. This research endeavors to assess the translation quality of the already referred to on-line machine translation systems so as to highlight the level of their inadequate quality, if any. Yet, due to the nonexistence of a unique quality assessment method as far as the translation by the two systems is concerned, the current research sets out to utilize an error analysis method for assessing the quality of the translation of two specialized texts from Kurdish into English by Google Translate and Bing Translator systems. The error analysis of the chosen texts reveals that both systems achieved excellent results in the orthography category, with 100 and 98.7 percent accuracy for Google and Bing, respectively. Additionally, results of 98.8% for Google and 97.5% for Bing concerning lexis reflected positive outcomes for both systems. Because both systems recently adopted NMT (neural machine translation), which simulates the way human brain functions to produce translation and learns from texts formerly translated by human translators, the two systems performed very well in these areas. The analysis also shows that the two selected systems were successful in the translation of the selected texts with reference to English rules of grammar achieving outstanding results that are 99.6 accuracy for Google and 99.4 for Bing. For further research, this study recommends doing more assessment on translation of more types of Kurdish texts through conducting the linguistic error analysis.
PERANCANGAN APLIKASI BIMBINGAN BELAJAR ONLINE

The enthusiasm of students to join online tuition centers is rising from time to time. It affects the number of tutors who have the important roles as the instructors. In the meantime, the students usually get information regarding the tuition centers from their colleagues or relatives. This affects the number of the students which is still minor. This indicates that the information about the existence of online tuition centers among societies has not been spread out widely. Mirroring on the lack, there is an idea appears. It is necessary to design a specific website for the online tuition centers. Besides its function as the promotion media, the website also provides access to learning materials. The learning materials which will be offered include theories, academic data manager and tabulation, and exercises with the tricks of how to finish them easily. This aims to help the students improve their achievements at school. The design of the application of these online tuition centers was constructed by the language program of PHP, MySQL basis data, and the methodology of waterfall. All stages of waterfall were started from analysis systems with business process, system design with DFD which includes diagram context, DFD Level 1, and DFD Level 2, ERD, and Data Dictionary. The process of managing and tabulating data which are in the system includes administrators, instructors, applicants and parents, where everyone has the access to the specific features. Through the Blackbox testing, it is concluded that all the features ran well, so they met the plan
STRATEGI GURU DALAM MENINGKATKAN PEMBELAJARAN KEMAMPUAN MEMBACA PESERTA DIDIK KELAS II SEKOLAH DASAR NEGERI 238/VI TANJUNG PUTUS II

This study aims to improve students' reading skills because there are obstacles in reading at the beginning of grade 2 students. Therefore the teacher applies strategies that can make students more easily and actively participate in learning to read so that students can learn easily and have fun. This study uses a qualitative descriptive research approach with a phenomenological research type. This research was conducted at SDN 238/VI Tanjung Putus II, Tanjung Putus Village, West Tabir District, Merangin Regency, Jambi Province. The data in this study uses primary and secondary data. Data collection techniques used in the form of observation techniques Interview Methods (interviews) and documentation. The data validation technique in this study went through three stages, including the preliminary stage, the filtering stage and the incomplete data completion stage. The data analysis technique used was analysis during data collection and analysis after the data was collected. The results of this study showed that the beginning reading ability of grade 2 students at SD Negeri 238/VI Tanjung Putus II was still low and there were several students who needed guidance and assistance from the teacher in reading. . 2) The strategy used in the process of implementing improving students' reading skills is the bottom-up strategy. Implementation of the strategy using the basal readers method is a series of reading activities carried out after students know and understand various forms of letters and various series of variations of combining letters into various words. Then proceed with using the distar method, the teacher also applies a peer tutor approach by asking students who are already fluent in reading to help their friends who can't yet. 3) The impact of using the early reading learning strategy in grade 2 is an increase in reading ability which is marked by students being able to read and write independently, only constrained in reading consonants. After the process of reading activities, students also dare to retell what they have read.
An Analysis on Ecological Communication of Positive Network Language

The ecological communication of positive network language is an information dissemination activity that affects the interaction between human beings and network ecology. The ecological communication of positive network language is carried out through media and culture, and follows ecological principles and strategies to realize its value of ecological communication.
A Framework for an artificial intelligence controlled seismic structural design system using ontologies and SysML

The assessment and design of structure resilience under earthquakes have been a major concern for structural experts, and researchers have made improvements in terms of analytical methods, theoretical models, failure criteria, seismic reliability, and damage assessment.However, with increased knowledge sharing and collaborative work within the civil engineering industry, there is a growing interest in cross-disciplinary, multi-objective and holistic approaches to resilience design over single effort to improve structural resilience previously.Ontologies and the semantic web belonging to symbolic artificial intelligence are currently advantageous in organising multi-source information and automated data exchange, while the graphical system modelling language SysML is a state-of-the-art system tool for designing interdisciplinary tasks.However, civil engineering professionals have little exposure to knowledge engineering and systems engineering and lack the foundation to build joint work.This study therefore proposes a framework based on ontologies and SysML for a fully machine-controlled structural seismic system.Through ontologies, SysML graphical workflows, AI code and artifacts, we can construct command streaming that understands semantics, actively searches and bridges different disciplinary contexts, giving computers a simulated sense of autonomy to understand and perform cross-domain tasks without human intervention.The proposed architecture, when applied to multidisciplinary involvement in structural resilience design, allows the AI to control and integrate isolated seismic components
An Empirical Study on the Application of Multi-modal Teaching Model on English Writing Teaching in China Senior High School

Recently, Multi-modal teaching has attracted much attention in the field of second-language writing. Previous studies paid great attention to the pedagogical effects of this teaching model on the writing competence of college students in China. Less investigation focused on the writing performance of Chinese senior high school students. This study aims to investigate the influence of Multi-modal teaching model on English writing competence in terms of writing score, language performance, and students&amp;rsquo; writing attitudes. The research instruments consist of two English writing tests, questionnaires and an interview. The research results showed that Multi-modal teaching model can significantly improve learners&amp;rsquo; writing competence. Meanwhile, the attitudinal survey indicated that Multi-modal teaching model has a positive influence on senior high school English learners&amp;rsquo; writing competence and writing interest.
ANALYSIS OF MAPPING OF THE LEVEL OF FLOOD PRONECTION IN BOJONEGORO REGENCY BASED ON GEOGRAPHIC INFORMATION SYSTEM

Floods are natural disasters that often occur in various parts of the world, especially in flood-prone areas. Floods occur when water from rivers, lakes or seas overflows beyond its holding capacity. Floods can cause great damage to infrastructure, plants, animals and people. To overcome floods that occur frequently every year, it is necessary to map areas prone to flooding accurately and quickly using GIS which can be used to accurately monitor the location and area of ​​the area that is experiencing flooding. This study aims to analyze flood-prone areas and compile maps of flood-prone areas and describe the conditions of flood-prone areas in Bojonegoro Regency based on Geographic Information Systems (GIS). Data processed using GIS include: RBI Map of Bojonegoro Regency, River Map, Soil Type Map, Rainfall Data, Landsat Imagery Data, Flood incident data in Bojonegoro Regency. From the results of data processing, the results of the analysis are as follows: The level of flood-prone areas in Bojonegoro Regency is divided into 3 classes, namely: very vulnerable class of 49,963.671 Ha or around 21.66% of the sub-districts in Bojonegoro including the District: Margomulyo , Ngraho, Padangan, Kasiman, Malo, Purwosari, Trucuk, Kalitidu, Ngasem, Bojonegoro, Kapas, Dander, Balen, Kanor, Baureno, Sumberrejo, Kepohbaru and Gondang. The vulnerable class of 173,162.171 Ha or around 75.05% is in sub-districts including: Margomulyo, Ngraho, Tambakrejo, Kedewan District, Malo, Trucuk, Sekar, Ngambon, Ngasem, Gondang, Bubulan, Dander, Temayang, Sugihwaras and Kedungadem. The non-prone class is 7,580.157 ha or 3.29% in the sub-districts including: Margomulyo, Ngraho, Tambakrejo, Kedewan, Malo, Trucuk, Sekar, Ngambon, Gondang, Temayang, Sugihwaras and Kedungadem. Areas that have a high level of vulnerability are around the Bengawan Solo River which crosses Bojonegoro Regency. This can be caused because the area around the Bengawan Solo River has a height of &lt;25 m and frequent flooding from the upstream and tributaries of the Bengawan Solo River.
Seismic images and subsurface structures of northeastern Edwards Air Force Base, Kern County, California

First posted August 22, 2023 For additional information, contact: Earthquake Science CenterU.S. Geological Survey350 N. Akron RoadMoffett Field, CA 94035 We used multi-component seismic data (including two-dimensional images of compressional-wave velocity [vP], shear-wave velocity [vS], the ratio of compressional-wave velocity to shear-wave velocity [vP/vS ratio], Poisson's ratio [μ], and seismic reflections) along a transect across northeastern Edwards Air Force Base to investigate the upper few hundred meters of the subsurface. The shallow subsurface there is characterized by unconsolidated sediments (vP of less than 2,500 meters per second [m/s]; vS of less than 1,500 m/s) in the upper 40 meters (m), underlain by weathered granitic basement rock (vP of 2,500–4,000 m/s; vS of 1,500–2,700 m/s) to about 100 m depth and unweathered granitic basement rock (vP of 4,000–6,000 m/s; vS of 2,700–4,000 m/s). The depth to basement rock varies laterally along the transect by as many as tens of meters. The top of groundwater, as indicated by both the 1,500-m/s vP contour and measurements in five wells along the transect, is located 8–30 m below the surface. In places, the top of groundwater is vertically offset over short lateral distances, likely the result of fault barriers. Faults mapped at the surface along the northeastern part of the transect correlate with multiple seismic indicators of faulting at the same locations. These same indicators show evidence for faulting in several other places along the transect beneath the alluvium. A major zone of faulting is apparent near the center of the seismic profile and is characterized by offsets in the top of groundwater; diffractions on the reflection image; a near-vertical zone of low vS; a corresponding near-vertical, shallow-depth zone of high vP relative to adjacent rocks (indicating high saturation); a near-vertical zone of high vP/vS ratios; and a near-vertical zone of high Poisson's ratios (also indicating saturation). Many of these anomalies extend at least 400 m deep, reaching into granitic basement rock and indicating that the fault zone is water-saturated to those depths. There is likely vertical flow of contaminants along these fault zones, which are apparently barriers to the lateral flow of groundwater. The major central fault zone marks a boundary beyond which contaminant flow is apparently impeded. Along the southwestern part of the transect, there are also areas with similar indicators of faulting, but these appear to be smaller fault zones.
Implementasi Plts 50 Wp Untuk Penerangan Jalan Di Kelurahan Manggar Kota Balikpapan

Street lamp lighting (SLL) is a complementary element of the street that serves to illuminate the environment around the street, so that road users will feel safe and comfortable. Based on the PkM team survey, RT 100 Manggar Village does not yet have a SLL. Therefore, the PkM team has designed 1 unit of Solar Power Plant (PLTS) with a capacity of 50 wp in the RT with 5 point DC lamp loads on the main road and 1 point placed in a resident's house, as well as placing the panel boxes. The main components of PLTS 50 wp include 50 wp solar panels, 35 ampere controllers, 35 Ah VRLA batteries, fiber cables, 3 watt DC lights, and fittings. The results of the battery endurance test after the solar panel is charged for 5 hours (when the sun is hot), the PLTS is able to turn on 6 light points (3 watts) for 46 hours. This proves that the PLTS is very efficient and suitable to be implemented as a source of PJU electrical energy in Manggar Village, Balikpapan City
AUV Local Path Planning Based on Fusion of Improved DWA and RRT Algorithms

For the local path planning problem of autonomous underwater vehicle (AUV) in unknown complex obstacle environment, the traditional Dynamic Window Approach (DWA) algorithm has problems such as easy to fall into local stagnation in complex obstacles. A path planning algorithm based on the fusion of Improved DWA and Rapid-exploration Random Tree (RRT) algorithms is proposed. The improved DWA algorithm velocity space is generated according to the period of the whole dynamic window and resets the evaluation function; the improved RRT algorithm plans guide points in the local known space to help DWA out of the local stagnation state. The two algorithms are fused to achieve local path planning for AUV in unknown complex underwater environment. Simulation shows that this fusion algorithm can plan a safe and feasible navigation path for AUV in unknown complex obstacle environment.
Dynamic Transfer for Domain Adaptation in Crowd Counting

We consider the problem of domain adaptation in crowd counting. Given a pre-trained model learned from a source domain, our goal is to adapt this model to a target domain using unlabeled data. The solution to this problem has a lot of potential applications in computer vision research that require a neural network model adapted to a target dataset. In this paper, we illustrate a dynamic domain adaptation technique. Specifically, we apply dynamic transfer for solving domain adaptation problems in crowd counting. The key insight is that adapting the model for the target domain is achieved by adapting the model across the data samples. The experimental results on several benchmark datasets demonstrate the effectiveness of our approaches.
E-Waste Practices Post-Pandemic Covid-19: The Case Of Malaysian Technology and Telecommunication Companies

Malaysian government has been proactive in pursuing green growth for sustainability and resilience. The attention is now shifted to e-waste due to the surge in demand for electric and electronic devices, especially after the pandemic Covid-19 hit. Focusing on Malaysian publicly listed technology and telecommunication companies, this study aims to identify the types of e-waste generated, how e-waste is managed, and the difference in e-waste practices between the two industries. This study found that screens and monitors and small IT and telecommunication equipment are the most e-waste generated by the two industries, whilst the least e-waste generated is industrial e-waste and temperature exchange equipment for technology and telecommunication industries. Moreover, both industries managed their e-waste by showing a high level of adherence to authorities’ rules, regulations and guidelines. Lastly, there is no significant difference between the two industries in managing their e-waste.
Research on the Mode of Improving the Employment Ability of College Students by Practicing Education of Business Major in Sichuan International Studies University under the Background of New Liberal Arts

Under the goals of the new liberal arts construction, the concept and connotation of practical education should be sorted out, the path of practical education in business majors should be summarized, and a practical education model should be established to integrate practical education into professional construction, effectively increasing the depth and breadth of practical education, improving the comprehensive quality of college students, and promoting national economic development, Finally, reasonable suggestions were put forward on how to correctly treat the innovative practice education model in universities to enhance the education system of college students’ employability.
Why is the Winner the Best?

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multicenter study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and post-processing (66%). The “typical” lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work.