Reviewerly/exHarmony huggingface dataset:
A Study on the Vocabulary of Haenyeo Settled in Wando-gun

This study was conducted on a lexical analysis of the vocabulary of Haenyeo settled in Wando-gun. Wando’s settlement Haenyeo used ‘Haenyeo, Jamsu, Jeomnyeo’ like the Jeju Haenyeo, but they also used ‘Bojaegi’, which reveals a negative perception of Haenyeo. And although the names of Haenyeo are ranked as upper, middle, and lower, the hierarchy is not as strict as that of Jeju Haenyeo because there are not many active Haenyeo and they are older. Unlike Jeju Haenyeo, Wando’s settlement Haeyeo used the standard language to name the sea. The vocabulary related to the sea space is named as the name or space of the island that works, unlike Jeju Haenyeo. Wando’s settlement Haeyeo called the work they did in the morning ‘Achim-mule, Achim-mulji’. The vocabulary related to the distance of work was not as subdivided like Jeju Haenyeo and in relation to the space, Wando’s settlement Haeyeo did not use the vocabulary of Jeju Haenyeo when referring to the space. Regarding the act, Wando’s settlement Haenyeo used the ‘Hombes-soli, Sonbi-soli’, which is associated with the ‘Sumbi-soli’ of Jeju Haenyeo. As a collection tool, Wando’s settlement Haenyeo used ‘Mangsali, Mang-ali’ like Jeju Haenyeo and Wando’s settlement Haenyeo used ‘Galgoli, Kkakkuli, Homeng-i’ as a tool for catching octopu and sea urchin, but there was no difference from Jeju Haenyeo’s term. Haenyeo uses ‘Dasdol, Dasjul’ as a secondary tool, but Shinji-myeon and Yaksan-myeon Haenyeo did not use ‘Dasdol, Dasjul’ by changing the method of collecting seafood. Haenyeo also uses ‘Tewag, Duleumbag’ as a secondary tool, and Wando’s settlement Haenyeo said ‘Duleumbag, Duleongbag and Duleombag.’ Wando’s settlement Haenyeo collected ‘Miyeog, Dasima, Mojaban, Tos’ among brown algae. However, unlike Jeju Haenyeo, they used standard language a lot. Shinji-myeon Haenyeo, used ‘Boli-miyeog’ regarding the time of seaweed harvesting. There are also ‘Cheong-gag, Palae’ among green algae, but they did not collect much. Among the red algae were ‘Umu, Cheoncho and Cheonchu.’ Among the mollusks, ‘Sola, Godung, Gunbeos, Gunso, Mun-eo, Jeonbog’ were collected, and among echinoderms, ‘sea urchin and sea cucumber’ were collected. However, unlike Jeju Haenyeo, Wando’s settlement Haenyeo used the standard language. Wando’s settlement Haenyeo were influenced by Jeju Haenyeo and used Jeju Haenyeo’s vocabulary, but also used the Jeonnam dialect in relation to space. However, standard language was used more when talking about the marine environment or harvested products. The reason seems that they used standard language rather than the Jeonnam dialect due to the negative perception of the Haenyeo’s job or the difficulty of settling in the local area. In addition, it seems that standard language has been used more due to various factors such as the influence of broadcasting media, changes in collection methods, and changes in sales methods.
Evaluation of Suitability of Retroreflective Material Locations by Motion Analysis of the Wearer of Safety Clothing

Since ISO 20471 regulations(2013) were enacted, high-visibility clothing made of fluorescent fabric and retro-reflective materials has been standardized to distinguish the wearers from the surrounding background in a dark place and to protect them. Accordingly, we made high-visibility safety clothing based on the international standards, and examined the positions of the retro-reflective materials on the attached sites to evaluate the suitability of the positions, by 3 types of safety clothing and the body regions when the wearers work or move. Two retro-reflective films of 5cm-horizontal lines were attached to the front/back of the upper-wear, and the lower-wear. Vertical lines were attached from the shoulder to the horizontal waistline. To analyze the motion in 3-dimension, we took pictured infrared-reflective markers on the retro-reflective film covered with yellow-tape on the front-side when 6 subjects wearing experimental garments performed 6 types of motions. According to the metronome tempo, the motions were performed for 30 seconds and repeated 6 motions ①∼⑥ by 3 experimental clothing. Among the 6 motions, significant differences in the appearance rate of the markers by body region during the motions were found in 5 types except for motion ③. Significant differences by the post-hoc test were shown in motions ④ and ⑥ as well. Therefore, for high-visibility safety clothing, it is necessary to anticipate the worker's motion and consider the attaching position of the retro-reflective material. It is considered desirable to attach the retro-reflective materials to several places where the clothing is hard to wrinkle.
SISTEM PAKAR UNTUK DIAGNOSA KERUSAKAN PADA SMARTPHONE ANDROID MENGGUNAKAN METODE FORWARD CHAINING

&lt;p&gt;&lt;em&gt;An expert system is a program that computerizes reports that try to imitate the thought processes and knowledge of experts in solving problems. Along with the development of time, expert systems make it easier for the public to diagnose a disease or damage. Reported from the statcounter.com page, Android users in Indonesia in 2020 reached 91.85%. This number can still increase considering the number of smartphone prices that are increasingly affordable and sophisticated. The number of android smartphones that are used will cause problems in the form of damage to android smartphones caused by factory errors or errors from the user himself. But in general, people do not know much about the right solution to overcome the damage and choose to buy a new cellphone. In this study, an expert system will be implemented to diagnose damage to an Android smartphone using a web-based forward chaining method to assist the public in diagnosing damage to their Android smartphone. The results of this expert system can be used as a reference in estimating the cost of damage to an android smartphone.&lt;/em&gt;&lt;/p&gt;
Development of an E-Book Based on STEM-Integrated Creative Problem Solving on Environmental Change Material to Improve Students’ Critical Thinking and Creative Thinking

Critical and creative thinking skills are very important in the 21st century. The creative problem-solving learning model and the STEM approach are suitable for training critical and creative thinking skills in learning. This study aims to: 1) analyze the need for an e-book based on creative problem solving integrated with STEM, hereinafter referred to as BOTIPOSTEM and 2) analyze the eligibility of BOTIPOSTEM. This type of research is research and development (R&amp;D) using the ADDIE model. Research data were obtained through interviews, questionnaires, validation sheets, and readability sheets. The data were analyzed descriptively quantitatively and using Aiken's V. The results showed that: 1) the development of BOTIPOSTEM is in the very needed category based on the teacher's response; 2) BOTIPOSTEM obtained an average Aiken score of 0.96 by material experts and 0.92 by media experts, the percentage of readability obtained an average score of 96% by teachers and 93% by students. Data analysis shows that BOTIPOSTEM has a high level of validity and readability. Thus it can be concluded that BOTIPOSTEM is very much needed and eligible to used in learning to train students' critical and creative thinking skills at school.
Personalized Machine Learning using Passive Sensing and Ecological Momentary Assessments for Meth Users in Hawaii: A Research Protocol (Preprint)

<sec> <title>BACKGROUND</title> Artificial intelligence (AI)-powered digital therapies which detect meth cravings delivered on consumer devices have the potential to reduce these disparities by providing remote and accessible care solutions to Native Hawaiians, Filipinos, and Pacific Islanders (NHFPI) communities with limited care solutions. However, NHFPI are fully understudied with respect to digital therapeutics and AI health sensing despite using technology at the same rates as other races. </sec> <sec> <title>OBJECTIVE</title> We seek to fulfill two research aims: (1) Understand the feasibility of continuous remote digital monitoring and ecological momentary assessments (EMAs) in NHFPI in Hawaii by curating a novel dataset of longitudinal FitBit biosignals with corresponding craving and substance use labels. (2) Develop personalized AI models which predict meth craving events in real time using wearable sensor data. </sec> <sec> <title>METHODS</title> We will develop personalized AI/ML (artificial intelligence/machine learning) models for meth use and craving prediction in 40 NHFPI individuals by curating a novel dataset of real-time FitBit biosensor readings and corresponding participant annotations (i.e., raw self-reported substance use data) of their meth use and cravings. In the process of collecting this dataset, we will glean insights about cultural and other human factors which can challenge the proper acquisition of precise annotations. With the resulting dataset, we will employ self-supervised learning (SSL) AI approaches, which are a new family of ML methods that allow a neural network to be trained without labels by being optimized to make predictions about the data itself. The inputs to the proposed AI models are FitBit biosensor readings and the outputs are predictions of meth use or craving. This paradigm is gaining increased attention in AI for healthcare. </sec> <sec> <title>RESULTS</title> This protocol was approved by the University of Hawaii Institutional Review Board (IRB) under protocol #2022-01030. Additionally, this study has received further scrutiny and approval via the University of Hawaii’s Data Governance Process under request #230410-3. </sec> <sec> <title>CONCLUSIONS</title> We expect to develop models which significantly outperform traditional supervised methods by fine-tuning to an individual subject’s data. Such methods will enable AI solutions which work with the limited data available from NHFPI populations and which are inherently unbiased due to their personalized nature. Such models can support future AI-powered digital therapeutics for substance abuse. </sec>
PENGEMBANGAN DATA RECORD PASIEN DENGAN METODE JOINT APPLICATION DEVELOPMENT (Studi kasus KLINIK ALFIZA MEDIKA UTAMA)

&lt;strong&gt;Abstrak: &lt;/strong&gt;&lt;em&gt;Patient record data or patient data recording is something that exists in every health care facility, which contains records and documents about patient identity, examination, treatment, and actions given to patients which are then stored either in the form of physical documents or computerized, but on Patient data recording often experiences a problem that arises because there is no management of patient data records, causing multiple data records. Multiple data records become a problem point so that it becomes the basis for how to do a solution to multiple patient data records at the Alfiza Medika Utama Clinic. The purpose of the study was to design the development of patient data records using the joint application development method at the Alfiza Medika Utama clinic. This research was conducted using the JAD method because the data collection process involved users, managers and information technology specialists who jointly designed and developed it. The results of which can make it easier for the main Alfiza Medika clinic to record patient data so that there is no more duplicate data and make it easier in terms of services and patients in terms of registration.&lt;/em&gt;
The Influence of the Family Environment on Student Learning Outcomes in Class IV Social Studies Content di SDN 38 Ampenan

The family environment greatly influences students' success in achieving good learning outcomes. This is reinforced by the theory in Djaali's book; Family situations (father, mother, siblings, younger siblings, older siblings, and extended family) have a significant impact on a child's success within the family. Parental education, economic status, home environment, the percentage of parental relationships, words, and parental guidance all influence a child's learning achievements. This study aims to determine the influence of the family environment on student learning outcomes in the Social Studies subject for fourth-grade students at SDN 38 Ampenan. This research falls under the category of population research and is Expost Facto in nature. The study was conducted at SDN 38 Ampenan in fourth-grade classes, consisting of parallel classes IV/A and IV/B, during the academic year 2022/2023. The data collection instrument used was a family environment questionnaire and data on student test scores in the Social Studies subject. The family environment indicators used include parenting styles, family member relationships, home atmosphere, family economic conditions, and parental understanding. The data analysis techniques employed include descriptive statistical tests, tests for homogeneity, normality, and hypothesis testing. Hypothesis testing uses simple linear regression. The research results show that the significance value obtained is less than 0.005, and the calculated t-value is greater than the tabulated t-value. This indicates that the null hypothesis (Ho) is rejected, and the alternative hypothesis (Ha) is accepted, suggesting a significant influence of the family environment on student learning outcomes in the Social Studies subject at SDN 38 Ampenan.
Analysis of the Trend and Determinants of Governance Quality in Tanzania from 1990-2021

The present study aimed to examine the factors that influenced governance quality in Tanzania and analyze their potential implications for policy formulation and socio-economic development. This study employed a time series approach to investigate the associations between multiple variables, such as gross fixed capital formation, foreign direct investment, trade openness, GDP per capita growth, and agricultural exports, and governance outcomes. The results indicated that GDP per capita and trade openness positively influenced governance quality, while gross fixed capital formation had a negative influence due to its concentration in traditional sectors, which limited new advancements that could enhance governance quality. This study offered significant insights for policymakers and stakeholders in Tanzania. It recommended the implementation of comprehensive strategies that facilitated the improvement of trade openness and diversity of capital accumulation towards higher productive sectors to promote economic development and efficient governance practices. Through the improvement of governance quality, Tanzania had the potential to promote sustainable development, enhance the delivery of services, and augment the overall well-being of its populace.
Central Bank Digital Currency (CBDC) and Its Potential Benefits and Challenges

In this study explores the potential impacts of introducing a Central Bank Digital Currency (CBDC) in the Indian economy, analysing its benefits and associated risks.CBDCs have garnered international attention as a solution to address limitations in privately-run electronic financial systems.Several countries have already launched or are planning to launch their CBDCs.Recently, the Reserve Bank of India has initiated pilot programs for CBDCs in the wholesale and retail sectors.Implementing CBDC could significantly improve financial stability, reinforce monetary policies, and foster financial inclusion in India.However, it is essential to establish a clear regulatory framework that can effectively accommodate both private virtual currencies and a sovereign digital currency, given the current uncertain regulatory landscape surrounding private virtual currencies in the country.
An Empirical Study of Artificial Intelligence Marketing - Supremacy and Weakness with Special Reference to Bangaluru

The study concentrated on Artificial Intelligence Marketing -Supremacy and Weakness .The study found that, existing artificial intelligence marketing in various shopping apps and website, which was helpful and also kind of drawback in few users (customers).This study is based on the primary and secondary data.The paper identified the usage of artificial intelligence used for collection of information and respond to the need and also used for market their products with the offers and such like.The study also found that the understanding, need of the customers or consumers based on the taste and preferences.
A Survey of the Influence of Skill Sets on the Performance of Professional Accountants

Purpose: This study has two purposes: i) to determine which skill sets are considered the most important and necessary for today's accountants, and ii) to investigate the impact of major categories such as business skills, soft skills, technical and digital skills, and ethical skills on the performance of accountants in the workplace Methodology: Under the assumption that there is an infinite population, a sample of 315 accountants was randomly chosen from the contacts on LinkedIn. In order to categorise 22 skills into four groups—business, soft, technical, digital, and ethical skills—data was collected from 91 respondents (28.3% response rate) during the course of the month of February 2023 Findings: According to the study's results, today's accountants place a higher value on time management, problem-solving, critical thinking, knowledge of and ability to interpret accounting standards, leadership (SS), business knowledge (BS), professional behaviour, adherence to the code of conduct (ES), financial statement preparation, interpretation, and analysis (TDS), as well as other skills. The independent variables "business skills" (BS), "technical and digital skills" (TDS), and the control variable "continental location" (CL) all significantly improve the employment performance of accountants, according to the findings of the regression analysis. Originality/Value: This study advances both theory and application. It places a strong emphasis on educating professional accountants about the need to arm themselves with the newest skill sets in light of a changing environment in order to improve their performance at work. It also looks at the most important skills that affect how well professional accountants perform. The study recommends that colleges and institutions provide accounting students enough time to acquire each of the four skill sets. To enhance these skills, particularly business, technological, and digital capabilities, professional accountants should take part in CPD with their employers.
An Analysis of Effects of Forensic Auditing in Detecting Fraud in State Owned Enterprises: A Case Study of ZESA

Purpose: In order to ensure effectiveness in State Owned Enterprises, (SOE) forensic auditing significantly plays a huge role in the detection and prevention of fraud. State owned Enterprises play a big role in any country as they provide commercial services or activities to the public. Their business involves transacting huge sums of money in their day to day operations. The state has significant control through full, majority, or significant minority ownership. There are fraudulent activities occurring in these enterprises as a result of poor controls in these organizations, hence forensic auditing plays the role. The purpose of the study was to examine how forensic auditing services aid in fraud detection in State Owned Enterprises. Methodology: Quantitative research methodology was adopted and questionnaires were used to collect data. Findings: The results indicated that forensic auditing has a significant positive correlation relationship in fraud detection in SOEs. Originality/Value: Forensic auditing although used by ZESA, is not being effectively implemented to detect and prevent fraud.
Towards Africa s Agenda Aspirations: Can Kenyan commercial banks achieve financial sustainability through Economic diversification Does debt structure matter

Purpose:The aim of this study is to examine the moderating effect of debt structure on the relationship between economic diversification and financial sustainability, a lesson for Africa commercial banks as they strive to achieve Africa’s2063 Agenda Aspirations. Methodology: The panel regression approach was utilised to analyse the study data. The financial sustainability and Economic diversification was measured using the return on assets and the proportion of non-interest income to total income respectively. While the debt structure was measured using the proportion of the bank debt to equity. Findings: The findings showed that economic diversification positively and significantly influence the financial sustainability of Africa commercial bank sampled. Debt structure also presents negatively and significantly influences the financial sustainability. Finally the study found that debt structure negatively and significantly moderates the relationship between economic diversification and financial sustainability. Originality/Value: The study's findings will be helpful to diversification theorist to unlock both diversification premiums and discounts puzzle by adding knowledge on indirect relationships such as the moderating effect debt structure. The management of African commercial banks will be able to make good sound diversification decisions by considering the nature and degree of the debt levels in the balance sheet in quest to promote the financial sustainability.
A Study on Cyberbullying: The Impact on the Community, Businesses, Companies and Prevention Methods

The internet was developed to make it easier for people to share information and knowledge and to promote global communication and understanding, and it is now available everywhere in the world. Every day, more people are using social media. In 2022, more than 5 billion people are online, representing more than 63% of the world's population. The report shows that about 4.7 billion of these people use social media. As more and more people use the internet and social media, cyberbullying is one of the crimes committed online. It affects many different sectors such as business, education, health, and private life. Therefore, it is important to raise awareness about cyberbullying and its consequences. The aim of this article is therefore to raise awareness of cyberbullying and discuss the role of technology in preventing cyberbullying with various additional strategies. The information was gathered from academic articles and online sources. The findings of the research show that cyberbullying can be classified into seven categories and that it can be curbed either using laws, technology, and cyber awareness. Keywords: Awareness, Cyberbullying, Impacts, Mitigation
Seven Degrees of Screening for Generality

&lt;em&gt;(with apologies to Maimonides and Nozick)&lt;/em&gt; Screening on only one substrate before assessing the substrate scope. This is the “ordinary means” in methods development. Screening on one substrate, but choosing a substrate that worked poorly in a previous study (e.g.). This can be thought of as serial multi-substrate screening, where each substrate is a separate project, but the body of work achieves greater generality over time.