Reviewerly/exHarmony huggingface dataset:
Nursing Educational Program for Improving Older Persons' Hydration Status

Background: Dehydration is a serious public health concern occurred due to the imbalancebetween water intake and loss which increased in the climate change and Egypt's hot weather, leadto the morbidity and mortality rate raise among the older persons. Aim: To evaluate the effect ofnursing educational program for improving older persons' hydration status. Subjects and Method:One group pre-post intervention research design. Setting: The study conducted at the (internalmedicine and urology) clinics at the Assuit University hospitals. Sample: Total number of 130older persons was included. Study tools: Contained four tools; Tool (I): Consisted of four parts;personal data, El-Gilany scale for measurement of socioeconomic status, health condition andknowledge of older persons regarding dehydration. Tool (II): Dehydration screening. Tool (III):Hydration knowledge scale and Tool (IV): Hydration facilitators and barriers attitude. Results:Mean ± SD and (range) of participant age: 69.28±7.65 (60-91). It was found that, more than half(56.9% &53.1% respectively) of them were male and had very low socioeconomic status. Therewas statistically significant effect of the educational program on the older persons' dehydrationstatus; also there was improvement of older person's hydration & dehydration knowledge andattitude of older persons about hydration facilitators and barriers after the application of theeducational program. Conclusion and recommendations: These results support that the nursingeducational program improved the hydration status, hydration & dehydration knowledge andattitude toward hydration facilitators and barriers among older persons. Continuous educationalprograms about hydration status of older persons are recommended
Technological tools for training by competencies in distance education in the university environment

In recent years, distance education has become a very useful educational practice in the university environment, motivated by the development achieved by technologies. The objective of this study was to analyze the technological tools available to improve training by competencies in distance education of the Faculty of Business Sciences at the Domingo Savio Private University, Bolivia. The research was descriptiveexploratory and propositional, with a non-experimental design. The sample was made up of 370 students. A questionnaire was used with multiple choice and dichotomous questions. The results indicated insufficiencies in the use of the Virtual Learning Environment by teachers and students and technologies are not used appropriately in teaching activities. It is concluded that (49%) of the students affirm that there is a lack of adaptability, (67%) of the teachers acknowledged having good management of the educational platforms used in the distance modality. A lack of interest and demotivation of the students is confirmed (76%), 64% of students recognized that they appropriately use the technological tools used in teaching. The need for continuous training of teachers is highlighted, since 66% did not receive adequate training from the university that allows them to strengthen digital knowledge and skills to develop innovative teaching activities in the distance modality.
Linguistic Support of Information Systems and Processes

The article examines the process of dictionary data design, which are sets of lexical units with specific information about them. The methods for creating indexing and search dictionaries are described, which enable efficient organization of search in textual data using specialized indexes.
The Effect of Coaching Leadership on Employee Voice Behavior: The Mediating Role of Thriving at Work and the Moderating Role of Person-Supervisor Fit

This study has two purposes. First, it aims to verify the mediating role of thriving at work in the relationship between coaching leadership and employee voice behavior. Second, it looks at the moderating role of person-supervisor fit in terms of the influence of coaching leadership. Data collected from 174 supervisor-subordinate pairs was used for the analysis. The results show that coaching leadership was positively related to thriving at work, and thriving at work was positively related to voice behavior. In particular, thriving at work mediated coaching leadership and voice behavior. The positive relationship between coaching leadership and thriving at work was weaker with a better person-supervisor fit, and the moderated mediation effect was also weaker in this scenario. Based on the results, the limitations of this study are acknowledged, and theoretical and empirical implications are suggested, as well as a fruitful future direction of research.
PhishScanner : A Web-Based Tool for Detection of Phishing Websites Using Machine Learning

Phishing is a common attack that tricks an individual to reveal personal information through fake websites. The main goal is to steal important data, including logins for social media accounts, bank account numbers, passwords, and usernames. The attacker uses his/her website that is visually and semantically similar to the actual website. Over the years there have been multiple attacks of phishing and many people have lost huge sums of money by becoming victims of these attacks. Attackers frequently employ fake emails or websites to trick victims into clicking hazardous links or downloading malicious attachments. The victim's login details and account information may be accessible to the attacker, thanks to these acts. The complexity of phishing attacks has increased, making it more challenging for the typical user to tell whether a link in an email or a message is authentic or not. To detect these types of websites there are different methods such as blacklist approach, content based approach etc. Detecting attacks through traditional methods such as blacklists can be unreliable as it has become simpler to register new domains, and maintaining a comprehensive and current database is difficult. An internet user can interact with a web application through a graphical user interface by running it on a web server and accessing it through a web browser. Therefore, we developed a web application whose primary objective is to detect Phishing URLs by utilizing advanced machine learning models that analyze features extracted from the website. After reviewing various classification algorithms, we decided on adopting the Random Forest Algorithm because of its high accuracy of 0.965. Random Forest Algorithm is a well-known algorithm for Machine Learning that predicts using an ensemble of decision trees. It has proven to be effective in a wide range of classification tasks.
Information Literacy in the Artificial Intelligence Sphere

Artificial intelligence (AI) is a disruptive technology that has the potential to revolutionise how information is accessed, processed, and utilised. AI has the capability to personalise learning experiences, provide tailored recommendations, and enhance information retrieval processes, thereby contributing to the development of critical information literacy (IL) skills among library users. This study aims to examine the impact of AI on teaching and improving IL in higher education by determining the use and approaches used for IL provisioning in academic libraries. It also examines how IL pedagogy and librarian roles have evolved in response to new learning settings and AI technologies.
KEY ASSESSMENT TEST MODIFICATION PROJECT PRINCIPLES AND PRACTICES OF LANGUAGE TESTING

This article presents data collection about the key features, principles and practices of language testing by modifying an available test to be valid, reliable, and practical for the target learner, including both theoretical and practical pictures of the process. Starting with studies on the target research, this work contains the learner assessment profile, the critique of an existing test, modified version of the chosen test together with appendix (material).
ORGANIZATION OF INDEPENDENT EDUCATION IN HIGHER EDUCATIONAL INSTITUTIONS USING MOBILE LEARNING SYSTEMS

This article discusses the possibilities, types, methods and possibilities of using mobile educational systems in organizing independent learning for students of higher educational institutions. Today's foreign experience in using mobile educational systems has been studied.
Agency Banking and Poverty Reduction in Plateau State

This study delves into the potential of agency banking to alleviate poverty in Plateau State, a region primarily reliant on agriculture and grappling with a high poverty rate, along with a sizable unbanked population. The research aims to investigate the correlation between agency banking and poverty reduction in Plateau State. Employing a descriptive survey design, the Taro Yamane formula was used to select a sample of 360 participants who were First Bank Plc agents. Quantitative analysis techniques, including descriptive statistics (percentages, mean, and standard deviation) and multiple linear regressions with SPSS 25.0, were employed to test the study's hypotheses. The results of the statistical analysis revealed that the income of agents has a significant impact on poverty reduction. Furthermore, the study found that the transaction volume of agents also significantly contributes to poverty reduction in Plateau State. However, it is important to note that the educational level of agents did not show a significant effect on poverty reduction in the state. As a result, the study recommends that banks operating in Plateau State should seize the opportunity presented by agency banking to reach the rural population, aligning with the Central Bank of Nigeria's (CBN) National Financial Inclusion Strategy (NFIS). This strategy emphasizes targeting women, rural areas, youth, Northern Nigeria, and micro, small, and medium-sized enterprises (MSMEs) to achieve a high level of financial inclusion, ideally reaching a 99% financial inclusion rate by 2030. In addition to promoting agency banking, the study suggests creating awareness of financial literacy in rural areas. This awareness campaign aims to educate the long-standing unbanked population on the benefits of banking services facilitated through agent banking, thereby fostering a more inclusive financial landscape.
Mediating Effect of Access to Electronic Payment System on Currency Redesign Policy and SMEs Performance in Northeast-Nigeria

This paper investigated the mediating role of access to electronic payment system (APS) on the relationship between currency redesign policy (CRP) and the performance of SMEs (PERF) in selected states (Adamawa, Bauchi, Gombe, and Yobe) in north-eastern Nigeria. The study used quantitative research approach and a multi-stage sampling technique was used to generate 300 responses using a research questionnaire. The partial least square structural equation modeling (PLS-SEM) technique was used to analyze data while the research model was examined using the disjointed two-stages approach. The study found a positive and significant mediating effect between CRP and PERF through APS. Equally, the direct paths were all found to be positive and significantly related. Meaning that not only does CRP affect PERF directly, but it also has an indirect effect on PERF through APS. This provided support for linking CRP and PERF through APS, and CRP and PERF, which doubles for validating the research model on the reflective-formative basis. Therefore, businesses are encouraged to utilize the usefulness of APS for doing transactions, which will double for achieving better PERF under the current CRP regime. This will have implication as the government is reintroducing the CRP as one of the measures of addressing inflation in Nigeria. On this note, the study concluded that APS is the most crucial factor in the implementation of CRP. Although, this cannot be generalized due to the concentration of the study in one region of the country, but future studies are encouraged to extend the scope of research to establish a basis of generalization.
The Role of Government Policy Programme in the Growth and Development of MSMEs in Nigeria

This research work is focused on understudying the role of government policy programmes in the growth and development of micro small and medium enterprises with a view of highlighting its relevance in contributing to the overall economic growth of the Nigerian economy from the standpoint of both the micro and macro-economic analysis. The policy in review is the national enterprise programme which serves as a vehicle for the promotion and development of MSMEs. However, this policy agenda is challenged in view of the multifaceted needs of MSMEs. The theoretical framework used for the study is the systems theory which conceives a system as comprising of different components or parts that are interdependent, integrated and function as a whole. Methodologically the research adopts an expost-facto research design which utilizes survey method to collect relevant data. Using inferential statistical approach hypotheses were drawn and tested using Chi-square method in seeking the correlation between the variables. Conclusions were drawn on the subject matter to suggest that government policy programmes have significant effect on micro, small and medium scale enterprises as they are instrumental in increasing output and mobilizing the resources that engenders the sustainability of the sustainable of any economy. Recommendations were made based on the findings for adequate funding and support services for MSMEs in addition to the proper management and the timely release of funds for MSMEs.
Survey of Secure Data Access Control Models in Cloud computing for EHR

Today cloud computing is the first choice of many individuals and different organizations. Computing services offered by different CSP’s are available as per need and the requirement. Most of the healthcare organizations are using cloud services for transmitting, storing and processing electronic health records (EHR) of patients. Patient’s health record is sensitive and there is possibility of violation of privacy by CSP’s. Data access control is one of the best mechanisms to address security issues in cloud computing and ensure the safety, reliability of the system and privacy of the user data. Existing surveys on access control mechanisms in cloud computing focus on all traditional centralized models. However, decentralized access models like block chain with traditional access control model is also used now days for ensuring privacy of EHR. This paper takes the detailed of reviews such existing access control mechanisms in cloud computing, based both types of access control models. Also provides comparisons on each model’s advantages and limitations, and discusses the challenges of, and future research direction for access control.
Setting up classroom libraries in rural areas: The case of Mogodumo circuit in Limpopo

There is an urgent need to establish classroom libraries, especially in rural areas where learners hardly come across any reading material. The purpose of this study was to investigate how teachers set up classroom libraries in rural areas of the Mogodumo circuit in the Limpopo province of South Africa. The study was qualitative in nature. Fifteen English First Additional Language (EFAL) teachers from 12 schools participated in the study. Observation and semi-structured interviews were employed to collect data. It was found that while all participants recognised the importance of reading for their learners, only 7 of the 15 teachers managed to establish classroom libraries. The study revealed that teacher self-efficacy (TSE) played a crucial role in setting up classroom libraries, given the serious challenges of funding, resources and support experienced by rural schoolteachers. Teachers with high TSE managed to establish classroom libraries by using their own time, money, and resources, while those with low TSE failed to establish classroom libraries. We recommend that school managers should make time and resources available to rural schoolteachers to enable them to establish classroom libraries.
Unified voice analysis: speaker recognition, age group and gender estimation using spectral features and machine learning classifiers

Predicting speaker's personal traits from voice data has been a subject of attention in many fields such as forensic cases, automatic voice response systems, and biomedical applications. Within the scope of this study, gender and age group prediction was made with the voice data recorded from 24 volunteers. Mel-frequency cepstral coefficients (MFCC) were extracted from the audio data as hybrid time/frequency domain features, and fundamental frequencies and formants were extracted as frequency domain features. These obtained features were fused in a feature pool and age group and gender estimation studies were carried out with 4 different machine learning algorithms. According to the results obtained, the age groups of the participants could be classified with 93% accuracy and the genders with 99% accuracy with the Support Vector Machines algorithm. Also, speaker recognition task was successfully completed with 93% accuracy with the Support Vector Machines.
OPTIMIZATION OF RETENTION POND IN FLOOD CONTROL EFFORTS IN PEKANBARU (URBAN FLOOD SYSTEM IMPROVEMENT PROJECT)

This research aims to optimize the function of retention ponds as part of the urban flood control improvement project in Pekanbaru. Evaluation was conducted on the capacity and efficiency of retention ponds, with a focus on spatial distribution, sustainability, and environmental impact. The findings of this study provide a foundation for formulating concrete and data-driven improvement recommendations. The spatial distribution of retention ponds is crucial in understanding their effectiveness in mitigating flood risks. Evaluation of the actual capacity of retention ponds provides an overview of their ability to accommodate excess rainwater, while efficiency identifies factors for enhancement and improvement. Improvement recommendations include increasing capacity, implementing advanced technology, and developing data-driven solutions. Involving stakeholders, including local government, research institutions, and the community, is a strategic step to ensure successful implementation. The application of sensors and geographic information systems (GIS) can enhance the effectiveness of retention pond operational management. Sustainability of solutions is realized through routine maintenance, performance monitoring, and multi-stakeholder collaboration. This research significantly contributes to urban flood management in Pekanbaru by providing concrete, data-driven recommendations for the retention pond system.
UTILIZATION OF THE ANDROID APPLICATION SI-RAJA BUMIL (ESTIMATED FETAL WEIGHT OF PREGNANT WOMEN) IN MONITORING FETAL GROWTH IN MIDWIFE AT INDEPENDENT PREMISES IN TANJUNGPINANG CITY

Estimated fetal weight is useful for tracking fetal growth in the womb, allowing for the early detection of aberrant fetal growth. With the advancement of technology, Android users can be used as a channel for health education information. The objective of this study was to look at how utilizing the Android application Si-RAJA Bumil (Estimated Fetal Weight of Pregnant Women) affects pregnant women’s understanding of fetal growth monitoring. This study applied a quasi-experimental design with two groups pre-testing and post-testing. Samples of 60 pregnant women were collected using the Simple Random Sampling approach and divided into two groups: the intervention group and the control group. The Midwife Independent Practice in Tanjungpinang City collected data in September 2023. Wilcoxon and Mann-Whitney tests were used to analyze data. The knowledge value of pregnant women differs significantly between groups who do not utilize the Si-RAJA Bumil android application and groups that do, with a p-value of 0.003. Pregnant mothers are expected to be able to monitor their foetus’ growth and development using technological media such as the Si-RAJA Bumil application.
EFFECTIVENESS OF E-POSYANDU HEALTH (EPOK) APPLICATION ON KNOWLEDGE AND SKILLS OF POSYANDU CADRES IN MONITORING GROWTH AND DEVELOPMENT OF TODDLERS

Posyandu cadres are community elements that play an important role in the implementation of Posyandu activities. The cadre’s role includes monitoring the growth and development of children under the age of five. To do their job effectively, they must have strong monitoring knowledge and skills in order to detect complications or problems in toddlers early on. So that appropriate intervention and counseling can begin immediately. The ePoK application is an innovative smartphone application that helps cadres monitor the growth and development of toddlers. The objective of this study was to determine the effectiveness of the ePoK application in terms of posyandu cadres’ knowledge and skills in monitoring toddler growth and development. This study was a quasi-experiment with a one-group pretest and posttest design. This study was carried out in Tanjungpinang City. A total of 60 posyandu cadres responded. Respondents were given the ePoK Application to use for one month. Knowledge was assessed using a questionnaire, and skills were assessed using a checklist. The results showed that respondents’ knowledge and skills increased both before and after using the application (11.55 and 5.78, respectively). There was also a significant difference in the knowledge and monitoring skills of respondents before and after using the ePoK Application with a p value &lt;0.05 (0.000&lt;0.05). The conclusion of this study is that the use of the ePoK application is proven to increase the knowledge and skills of posyandu cadres on monitoring the growth and development of toddlers.
A Survey on Path Planning Algorithms for Unmanned Aerial Vehicles Using Bio-Inspired Optimization Techniques

The rapid development of unmanned aerial vehicles (UAVs) and UAV-based applications has been increased in the recent past due to the advancement in software and electronics industry. Use of UAVs are considered to be a very efficient and useful platform that can deeply monitor the critical infrastructures around the geographical areas. UAVs are also useful for data collection through different wireless sensor networks. Based on the collected data, an optimal path can be formed. Bio-inspired algorithms are inspired from the principles of the biological evolution of nature. The recent trends tend to employ the bio-inspired optimization techniques that are best-suitable for handling strenuous optimization problems. In this chapter, the authors investigate different bio-inspired algorithms for the UAV path planning over the last decade. They compared the working principles, key features, advancements, and limitations of different path planning algorithms. Furthermore, the challenges and future research scopes are also discussed and summarized.