Reviewerly/exHarmony huggingface dataset:
Penguatan Literasi Keuangan Terhadap Orang Tua Dan Siswa SD Di Kampung Kukuk Sumpung Melalui Penguatan Budaya Menabung

Saving is an activity of setting aside some of the money or income you have to be saved for the purpose of managing the money. Seeing a lack of behavioral awareness saving students in Kukuk Sumpung Village, Gobang Village, Rumpin District, Bogor Regency, UPNVJ Lecturers and Students have the desire to provide guidance on how important it is to save and have a frugal lifestyle. for elementary school students and their parents by doing strengthening financial literacy and conducting outreach to students by involving students to help the school carry out fun teaching and learning activities and bring out innovations. Research with using this qualitative method was carried out in one of the villages at the top of Mount Eusing by giving lectures, in-depth observation and observations, socialization and practical teaching. Research result shows that the counseling carried out has helped the implementation of teaching and learning activities. By using Qualitative methods, in this case are used to measure the extent of students' awareness about saving, and students' knowledge in carrying out practices which are the result of socialization This was done to find out whether students can apply a frugal lifestyle in their daily lives.
Improving customer retention in the UAE

This article aims to explore the importance of customer retention in businesses in the UAE. The article provides evidence for a clear and distinct relationship between customer satisfaction, customer retention and the success of the company. The main focus is to enlist and evaluate the success of the techniques used to improve customer retention in the company. This includes building trust with the company, increasing empathy, creating loyalty programs, ensuring sufficient measures to combat customer dissatisfaction and being open to feedback from the customers. The article is based on primary and secondary research conducted by the author wherein journal articles, research papers and financial newsletters were consulted to conclude. The paper also focuses on how the tourism industry of the United Arab Emirates largely affects customer retention in the country. From the research conducted, it can be claimed that no one technique of customer retention is fully applicable in the country due to the unique circumstances under which it runs its businesses. However, a combination of techniques can prove to be successful for the country owing to the income of its tourists, patronage and referrals of its locals, the demand for tourism in the country and the shopping capital of the country
Optimising Routes Scheduling of Garbage Truck for Waste Collection using Artificial Bee Colony Algorithm

The issue of waste generation has attracted significant public attention in today’s societies, not only because waste production is increasing quantitatively but also because some products and components are becoming more complex. The growing problem of municipal solid waste management has become the most serious environmental issue. Population growth has resulted in the increase in the generation of solid waste, which has become a serious issue that must be resolved. Optimised route planning is one of the most important components of a smart waste management system. Route planning is a technological approach to determining the shortest routes through optimisation. The route optimisation problem commonly referred to as the vehicle routing problem (VRP), has been thoroughly studied to find the best possible route for a vehicle. This study aims to find the optimal routes and reduce the distance travelled by the garbage truck when collecting waste using Artificial Bee Colony algorithm. ABC algorithm is an optimization method based on the clever behaviour of honey bee swarms. The artificial bee colony in the ABC algorithm is divided into three groups which are employed bees, onlookers and scouts. To provide neighbouring solutions that are guaranteed to be possible, swap operator is used. Results show that by using 10 trucks in total as the vehicle, the optimal solution produced a total of optimal distance for 94.9542 km. The findings of this study fulfilled the intended objectives which are to find the optimal route and shortest distance for the vehicles.
A global user profile framework for effective recommender systems

Abstract Modern Recommender Systems (RSs) compete to maintain rich user profiles that can accurately reflect user behavior, interests, and service contexts. While benefiting from an online service supported by an RS, user preferences and interests may rapidly change over time. To keep up with the changes from the user perspective, an RS should maintain the making of effective personalization as supported by robust profile construction methods. Building an effective user profile database requires exhaustive data and behavior analysis over extended periods. In this paper, we delve into traditional RS architectures to identify limitations, gaps, and opportunities for improvements in existing user profile mechanisms. To that end, a Global User Profile Framework (GUPF) is proposed towards achieving increased effectiveness. Furthermore, the adoption of the developed framework is exemplified by presenting different potential scenarios. The presented work concludes with the identification of important venues and research directions that are enabled by the proposed GUPF.
A Study of Organizational Changes that Occur to the Adoption of Cloud Computing Technologies in Organizations: Ministry of Communication and Information Technology in Afghanistan

Cloud computing services such as file storage and big data analysis provide cost effective, secure, flexible and reliable services to their users; however, their advantages, the adoption of many cloud services is still limited, and many organizations are unsure of adopting cloud technologies for various reasons this study using a systematic review of the factors influencing organizational regarding the adoption of cloud computing technologies, categorize and compare these factors and show that much of the literature has highlight the technical aspects of technology adoption, such as cloud security further show that factors such as top management support, relative advantage, cloud complexity, and competitive pressure are the most important factors affecting organizational attitudes toward cloud technology adoption. Furthermore, analysis of interview data collection techniques showed that cloud computing technologies affect the structure, size, tasks and work processes of organizations. These variables change at different levels. The findings showed that IT jobs have the greatest impact on cloud computing readiness and performance. Additionally, the results showed that organizations that adopt cloud technologies integrated some departments, increased work speed, removed some duplicated steps, overcame management changes, centralized IT works and removed some traditional hierarchical parts.
Aplikasi Pengelolaan dan Pemesanan Pada Pangkalan Gas LPG 3KG Desa Purun Timur Berbasis Android

Based on observations that have been made at the Purun Timur Village 3KG LPG Gas Base, problems were found regarding the management and ordering process where the management of existing gas data has only used a simple method, namely by recording in a ledger regarding gas orders ordered by those who were purchased and Confirm back to the customer by telephone or via WhatsApp that the order has been recorded. Ordering 3KG LPG gas, the owner of the base only has 9 gas stocks available at certain hours, so he doesn't know the availability of gas stocks on a regular basis. This is certainly less effective and efficient in terms of time and effort. Therefore, an online 3KG LPG gas management and ordering application is needed that can place orders and provide information on the availability of 3KG LPG gas. The research method used is a qualitative descriptive method, while the system development method uses the RAD (Rapid application development) method.
Experience ecosystems and healthcare design

When thinking about experience design, our attention often goes to individual categories of people, such as customers, patients, users, employees, and the like. However, people do not exist outside of systems. Therefore, when considering designs, we need to consider the entire experience ecosystem and how elements of those system intersect and align. We examine this principle through the lens of medical records and EHR systems. By approaching design through a systems perspective, we can create better solutions that fit the broader needs of system stakeholders. We conclude with recommendations for how to better execute a systems design approach to foster better integrative experiences.
Effect of Work Motivation on Job Performance among Healthcare Providers in Eradah and Mental Health Complex in Jeddah Region, Saudi Arabia

Aims: This study aimed to assess work motivation levels among healthcare providers in the Eradah Complex and evaluate healthcare providers’ job performance, considering various dimensions.&#x0D; Study Design: A cross sectional study design.&#x0D; Place and Duration of Study: The target population for this research comprises healthcare providers working within the Eradah Complex in Jeddah, Saudi Arabia, including a diverse range of professionals, such as doctors, nurses, administrative staff, and other healthcare personnel, who collectively contribute to providing healthcare services within the complex, between June 2023 and September 2023.&#x0D; Methodology: A cross-sectional design with comprising healthcare providers working in Eradah Complex in Jeddah, with diverse range of professionals, such as doctors, nurses, and administrative staff, Data for this study were collected through the administration of a structured questionnaire and then the data for this study was collected from healthcare providers working within the Eradah Complex in Jeddah, Saudi Arabia. Data from the structured questionnaires had been distributed within two-week timeframe for the participants to complete the questionnaires. Data reliability and statistical analyses using appropriate tests was done using SPSS version 25.0 program.&#x0D; Results: This study involved 212 participants from different age groups with a mean age of 37.6±1.3 years old, and predominant male gender (75%), educational level, and professional status with majority (29.7%) of nurses participated in this study, that there was a significant difference in Work Motivation according to Profession (F= 2.68, P-value = 0.011), but there was no significant difference in the other demographic characteristics (age, gender, marital status, education level, and experience year, and there was a significant difference in Job Performance according to age (F= 3.655, P-value = 0.028).&#x0D; Conclusion: It was observed that there was a significant effect of work motivation on job performance, so the work motivational process may enhance the job performance among healthcare workers in some of Jeddah hospitals.
Novel prediction models of earthquake early warning for ground motion power in Taiwan

Abstract Studies have indicated that the power of seismic waves, rather than the acceleration and velocity, strongly correlates with the level of structural damage and the shutdown of high‐tech equipment during high‐precision process. However, current earthquake early warning (EEW) systems in Taiwan issue a warning only for a seismic wave with high acceleration or velocity but not for that with high power. To extend the application of the EEW system to high‐tech fields, conventional and novel hybrid prediction models were developed in this study to predict the ground motion power and to issue EEWs for high‐power ground motions. A conventional prediction model that relies on earthquake source parameters was first developed to determine ground motion characteristics, and a hybrid prediction model that relies not only on earthquake source parameters but also on the on‐site ground motion parameter of P‐waves was developed to improve the prediction accuracy. The two‐step maximum likelihood method was used to derive model coefficients for considering the mixed effect of the ground motion records. The source, path, and site effects on the short‐period power and the long‐period power of ground motions were illustrated by the proposed models. A method for determining a broadcast scenario of EEW systems for high‐power ground motions with a target success rate and damage threshold was also developed. These novel prediction models can be used to develop a customized EEW system to provide an early warning for high‐power seismic waves in Taiwan.
AGE ESTIMATION AND GENDER CLASSIFICATION TECHNIQUES USING CNN: A SURVEY

Now a days Researchers have given more interest in soft biometrics area to fill the communication gaps between humans and machines. Soft-biometric consists of age, gender (sex), ethnicity, height, facial measurements and etc. The real- world application of computer vision has grown in recent years. This survey paper contains a detailed discussion about the contribution of the researchers in the area of age estimation and gender classification using CNN (Convolutional Neural Network). Different neural network model features, such as datasets, methodology, discoveries, accuracy measures, and results, are presented for further research. In this survey paper, we also reviewed various age and gender recognition strategies and summarize the tasks for future research aspects. KEYWORDS— Soft Biometrics, Neural Network, CNN, Computer Vision, Gender recognition, Age estimation
Fingerspelling Recognition in Mexican Sign Language (LSM) Using Machine Learning

Sign languages allow deaf people to express their thoughts, emotions, and opinions in a complex and complete way, just like oral languages. Each sign language is unique and has its own grammar, syntax, and vocabulary. Mexican Sign Language (LSM) is characterized by rich gestural and facial expression that gives it a great communicative and linguistic capacity. In the study of LSM, two main components have been identified: (i) fingerspelling, and (ii) ideograms. The first is similar to spelling in oral languages, and is used to communicate proper names, technical terms or words for which there are no specific signs or which are little known to the deaf community. In this paper, we propose a method for recognizing the LSM alphabet by using machine learning-based techniques capable of classifying the signs made by 10 test subjects. 21-keypoints of the hands were extracted from the MediaPipe library, in order to have a better representation to feed the classification models. The results when classifying the 21 letters exceeded an F1-score of 0.98 with 3 of the 4 trained classifiers, and scoring values below 0.95 for less than 3 letters. Tools such as those proposed in this work can facilitate seamless communication by translating Spanish into LSM and vice versa, allowing both communities to engage effectively in various settings.
The application of CiteSpace software in document visual analysis and writing

With the rapid progress of information technology, the application of visualization is becoming more and more popular, and more and more learning in the future will use various visualization means. There is no doubt that visual organs will play an unprecedented role. Visualization may become the mainstream way of learning, and human learning efficiency will be greatly improved. In order to adapt to such a process, it is necessary to analyze in detail how to perform visual analysis. This paper will describe in detail the applications and functions of CiteSpace software. It is hoped that the fans of science knowledge map are able to know, master and use CiteSpace software to draw science map efficiently in the shortest time, and effectively guide the study and research practice. Therefore, we take the 2012-2022 Master's degree thesis in International Chinese Education as an example to show how to use CiteSpace software for visual analysis. In this paper, CiteSpace (visual analysis software) is used to carry out quantitative research and knowledge graph analysis on the master's thesis of CNKI (China National Knowledge Network database), revealing the evolution path and new development trend of research focus in this field in the past 13 years, and expanding the perspective of International Chinese Education research in multiple dimensions. The diachronic and synchronic analysis of the literature in this field is carried out, and the research focus in different stages and different periods is studied in multiple dimensions and perspective, which further helps us demonstrate the application and research significance of CiteSpace software.
Do the young employees perceive themselves as digitally competent and does it matter?

Purpose The study aims to examine the digital competence of young employees (under 30 years of age) who graduated from the technical university. Self-assessment of selected digital competencies was examined along with the determination of a self-efficacy level in the area of using digital competencies. Design/methodology/approach Quantitative research was conducted using the computer-assisted web interview method on a sample of 4532 respondents. Findings Young employees' self-assessment of digital competencies and self-efficacy in the area of using them is high, and it can be assumed that they perceive themselves as digitally competent. Both digital self-efficacy and assessed digital competencies have a positive impact on satisfaction with the university. Research limitations/implications The research sample consisted only of employees who graduated from the technical university, but the results may provide feedback on the demand for digital competencies sought in the labor market and constitute valuable information useful in university curriculum development and in vocational education and training. Originality/value This is the first study that focuses on the Kozanoglu and Abedin approach to the concept of digital literacy in the context of research on self-assessment and self-efficacy in using digital competencies among technical university graduates, adapting the creative self-efficacy scale by Tierney and Farmer, for measuring digital self-efficacy. Highlights/value Young employees' digital competencies self-assessment is high. Young employees' self-efficacy of using digital competencies is high. Graduating from a DT-focused department has a positive impact on satisfaction. Digital self-efficacy has a positive impact on satisfaction with the university. Assessed digital competencies have a positive impact on satisfaction.
Message from the General Chair WAMCA 2023

On behalf of the organizing committee the 35th International Symposium on Computer Architecture and High-Performance Computing (SBAC-PAD 2023), we welcome you to the 13th Workshop on Applications for Multi-Core Architectures (WAMCA 2023), which will be held at the Technical School of the Pontifical Catholic University of Rio Grande do Sul (PUCRS) in Porto Alegre, Brazil.
A Literature Survey on Securing Internet of Things (IoT) Devices : AES vs Simon-Speck Encryptions

Internet based secure data transmission is an emerging area of research, where most of the data transfer infrastructure is moving to make their service and delivery more efficient. In this paper our work approach lead behind the secure data transmission data get upload over the data server and its different user due to different ownership. AES is a well-established encryption standard that has been extensively analysed and widely adopted in various industries and applications. It is considered highly secure and has withstood rigorous cryptographic scrutiny. In this survey discuss In cryptography, encryption is the process of encoding information. This process converts the original representation of the information, known as plaintext, into an alternative form known as cipher text. Only authorized parties can decipher a cipher text back to plaintext and access the original information. Also the process of decryption of an AES cipher text is similar to the encryption process in the reverse order.
Penerapan Model Pembelajaran Kooperatif Tipe STAD Untuk Meningkatkan Keterampilan Mengurutkan Pecahan pada Siswa Kelas VI SD 005 Tarakan

Application of stad type cooperative learning model to improve fraction sorting skills in grade VI students of SD 005 Tarakan. The type of research used is Classroom Action Research which consists of 4 stages, namely planning, implementation, observation, and reflection. The subjects in this study were grade VI students of SD Negeri 005 Tarakan in the second semester of the 2021/2022 academic year as many as 28 students consisting of 14 male students, and 14 female students. The instruments used for data collection are observation sheets and tests. Data analysis techniques used to analyze data obtained in the field are descriptive. The results of data analysis show that STAD cooperative learning can improve fraction sorting skills in grade VI students of SD Negeri 005 Tarakan
ANALISIS KEEFEKTIFAN MEDIA MONOPOLI BAHASA DALAM MENINGKATKAN PENGUASAAN KOSAKATA BAHASA INGGRIS KELAS 4 SEKOLAH DASAR

The problem of students' difficulties in mastering vocabulary must be addressed immediately. This is because gaining a solid understanding of proper vocabulary is very important for learning English. To achieve fun and effective learning, teachers must innovate and adapt by utilizing educational media. If the media used by a teacher is not effective, it can hinder students' ability to understand the material and result in learning failure. The purpose of this research is to evaluate the efficiency of using language monopoly media in teaching English to introduce rooms and objects in a house. Researchers used a qualitative approach with descriptive methods, using direct observation techniques and interviews with 25 students and class teachers. Data analysis in this study consisted of data reduction, presentation, and conclusion. The results showed that there was an increase in student achievement scores in learning English for the introduction of rooms and objects in the house. Furthermore, the observed differences in students' vocabulary proficiency and comprehension before and after exposure to language monopoly media. The conclusive task revealed that students achieved a significant increase in their scores, indicating that the use of monopoly language media was effective in increasing their mastery of the English lexicon.