bluuebunny/crossref_metadata_2025 huggingface dataset:
Sleep Habits and Academic Performance, A Study Amongst Medical Students In University of Cyberjaya, Malaysia
Authors: - Daniel Hakim Bin Muhammad Hafiz , - Nur Arina Najwa Binti Mohammed Sabri , - Crishele Pock Xue Qing , - Devhesh Varrnan .S
Published: August 2024

Humans are, as a rule, diurnal species. However, there are interindividual differences where people have different perspectives and preferences on their time of day to be most productive and effective, or to sleep which is closely related to a concept called “Chronotype”. Chronotype is divided into two groups: morningness and eveningness. Hence, this study aims to explore how morningness and eveningness are associated with medical students’ GPA, thus providing valuable insights regarding chronotype-specific academic interventions for medical students. This cross-sectional study involved 253 medical students among University Of Cyberjaya from Year 1 to Year 5 (aged 19-35). The morningness-eveningness questionnaire (MEQ), the sociodemographic background questionnaire (NHMS), and the supplementary GPA requirement were all included in the online questionnaire that was used to collect the data. Among the 253 participants, the majority were females (59.3%), predominantly aged between 21-22 years old (39.5%) with most from the ethnic group of Malay (55%). Based on the result, the majority of the medical students were characterized as intermediate chronotype (64.4%), followed by evening type (23.3%) and morning type (12.3%). Moreover, the findings indicate that sleep habits and academic achievement are correlated, with a p-value of less than 0.001, a chi-square value of 47.73, and a degree of freedom (df) of 4. Therefore, these findings have significant ramifications for initiatives aimed at enhancing students’ sleep patterns in order to improve their academic performance.
Community Needs Assessment of Barangay 694 Towards an Extension Services Program
Authors: - Mylene G. Dinglasan , - Agnes Macalipay , - Marie Ann Benette Clavio , - RoseAnn Claire Roxas , - Julie Ann Balbis , - Jennieva Gabarda , - Marie Faye Fuertes
Published: August 2024

Community extension is a university's fourth purpose, and it is addressed in how extension services are conducted in partner communities. The institution must offer learning and support opportunities to community members, particularly to those who lack access
to education or employment prospects. Partner communities should benefit from the knowledge and abilities of instructors and non-teaching personnel as well as the teachings that students gain in the classroom. The purpose of this study was to evaluate the community's needs and create a program for community extension services that would benefit implementers as well as the adopted Barangay. Data required for the creation of the extension service was gathered using a mixed approach. A focus group discussion was held for the qualitative component and a survey questionnaire was used for the quantitative component. The selection of participants was done using convenience sampling. The College of Arts and Sciences will base the design of its outreach and community extension initiatives on the perceived needs discovered during the survey's administration. Faculty and students from the College of Arts and Sciences facilitated the focus group discussions. The research revealed the necessity of the following categories: recreation, disaster and preparedness, livelihood, values formation, education, environment, health, and sanitation. Thus, the study led to the development of the Community Extension Services Program.
A Study of Components of a Development of Emerging New Businesses Along with Start-up Ecosystem & Different Challenges Faced by Startup during the Development Process
Authors: - Saurabh Pachkhede , - Mahesh Gaikwad
Published: August 2024

Abstract
India has gained global attention as a leading country that has seen significant development in the establishment of new businesses, positioning itself as a prominent center for start-ups. The birth and growth of a new businesses are impacted by several components, such as the demand for a new firm, the fundamental concept, location & events, finance sources, education & skills, employees & others. The Indian economy is widely recognized as the fifth biggest in the world when measured by gross domestic product, or the third largest when measured by purchasing power parity. The significance of start-ups in fostering this economy cannot be neglected since they contribute to the upward path of the nation’s economy. This study paper explores the various components involved in the creation of new businesses & their requirement in the process of the development of a start-up ecosystem. It also focus on the many obstacles & challenges that start-ups encounter throughout the development phase.
Mineral Nutrition In The Leaves of Cocculus hirsutus (L) Under Pathogenesis
Authors: - Dr. T. G. Nagaraja , - Prashant S. Nile , - Harsh Kumar S. Thakur , - Vaishnavi V. Jadhav , - Vrushali R. Patil
Published: August 2024

The present research paper deals with mineral content in the leaves of Cocculus hirsutus(L) affected by powdery mildew fungus Oidium Sp. (Imperfect stage). The healthy and infected leaves were digested by tri-acid, prescribed by Toth et al., (1948) method. The digested sample was further subjected to Inductive Coupled Plasma Optical Emission spectroscopy. ICP-OES (Agilent 5800ICP-OES FEQ’S), MY 1523001 software version: 7.3.0.8799. Firm ware version: 3354 for analysis of mineral element. The infected leaf shows enhanced content in potassium, iron, manganese, copper, nickel, chromium, and aluminium element. On the Contrary, elements such as magnesium, sodium, calcium, lead, zinc, boron, strontium and thallium were reduced in their contents reflect a high metabolic activity during pathogenesis.
SolarBot: A Dual-Mode, Bluetooth-Enabled Two-Wheel Robot Powered by Renewable Energy
Authors: - Atharva Rajendra Joshi
Published: August 2024

This research paper explores the development and deployment of a two-wheel drive robot car that leverages renewable solar energy stored in lithium-ion batteries. The system is designed with an L298N motor driver, an Arduino microcontroller, and an HC-05 Bluetooth module, providing the robot with both autonomous and manual control capabilities. The solar panel, integrated with a charging module and voltage regulator, is mounted on a zero PCB, ensuring a sustainable and uninterrupted power supply. The robot is equipped with ultrasonic sensors, enabling it to detect and navigate around obstacles automatically, ensuring a safe and efficient operation.
In its autonomous mode, the robot can navigate predefined paths, making real-time adjustments based on sensor input to avoid collisions. This feature is particularly useful for applications such as automated plant watering, where the robot can move through a garden and irrigate plants while avoiding obstacles. Additionally, the robot can be utilized as a floor cleaning device, capable of maneuvering around furniture and other objects. The RC Bluetooth app facilitates manual control, allowing users to operate the robot remotely for various tasks.
The project demonstrates a practical application of renewable energy in robotics, emphasizing the benefits of sustainable energy solutions and versatile operational modes. The use of a wooden platform provides a sturdy base for the robot's components, ensuring durability and reliability. This work contributes to the field of robotics by showcasing how solar power can be effectively harnessed to create energy-efficient, multifunctional robotic systems.
Utilisation of Coir Fiber as Reinforcement in M20 Concrete Mix
Authors: - Adil Hussain Rather
Published: August 2024

Sustainability is a wide accepted concept in modern construction scenario. Even though the construction industry is revolutionizing in a significant manner in terms of both equipment and materials used, the cost of construction has skyrocketed along with the deteriorative impact on environment. This resulted in the adoption of a more balanced approach with the environment as its nerve centre to create a better world to live in. This has led to the adoption of a natural fiber like Coconut for the strength enhancement in concrete. Concrete needs to be reinforced in order to improve its engineering qualities. Coconut fibers were employed for this study since they are widely accessible and come in big numbers. The study includes a comparison of the qualities of regular concrete and concrete reinforced with coconut fiber based on laboratory experimentation. Concrete with different fiber contents was evaluated with conventional concrete or prestressed concrete and different strengths parameters such as bending, compression and tensile strength of coconut fiber of length 25, 50, and 75 mm were added with proportions (0.5%, 1%, 1.5% and 2%) of total weight of the volume of concrete coconut fibre is carried out. The various strength aspects analysed are the flexural, compressive and tensile strength of the coconut fibre reinforced concrete.
The Public Service Digitalization in the Philippines Towards a National Program to Capacitate Digital Frontliners
Authors: - Reyner Aaron M. Villaseñor
Published: August 2024

The rapid advancement of technology has driven a global transformation in public service delivery. In the Philippines, efforts to digitalize public services are crucial for inclusive development and efficient governance. This study, titled "The Public Service Digitalization in the Philippines Towards a National Program to Capacitate Digital Frontliners," examines this transformation through the experiences of government employees, known as digital frontliners. These individuals are key to implementing and managing digital technologies across public sectors.

Using a mixed-method research design, the study integrates descriptive, correlative-comparative, and phenomenological approaches to gather quantitative and qualitative data. A total of 400 digital frontliners participated in a survey, while 10 key informants were interviewed. This approach provides a comprehensive analysis of the digitalization process, focusing on demographic profiles, challenges, job satisfaction, and service effectiveness.

The theoretical framework includes the Theory of Digital Government Transformation, the Unified Theory of Acceptance and Use of Technology (UTAUT), and Capacity Building and Development Theory. These frameworks help understand the dynamics of public service digitalization, technology acceptance, and the importance of capacity building.

Key findings reveal a diverse workforce among digital frontliners, significant challenges such as infrastructure limitations and digital literacy disparities, and varying levels of job satisfaction. The research underscores the need for robust digital infrastructure, tailored training programs, and streamlined administrative processes. It also highlights the importance of public-private collaboration.

The study proposes a national program to enhance the capabilities of digital frontliners through continuous professional development and innovation support. This program aims to improve digital public services, making them more efficient, transparent, and accessible. The findings provide a foundation for evidence-based policymaking and strategic planning, contributing to the Philippines' digital transformation and inclusive growth.
Abdominal Massage to Reduce Constipation in Stroke Patients: Literature Review
Authors: - Aprita Ningseh , - Emil Huriani , - Holines Berti
Published: August 2024

Background: Constipation is the dominant gastrointestinal problem post-stroke. This problem is always treated with the use of laxatives and fiber. Abdominal massage can be one of the treatments. Objective: To determine the effect of giving abdominal massage to reduce constipation in stroke patients.
Methods: This article is a literature review of research articles conducted by summarizing and analyzing related articles. The search method used three electronic databases, namely Science Direct, Willey, and Pubmed with the keywords abdominal massage, constipation, and stroke. The inclusion criteria for writing were free English articles for the last 5 years, research samples in stroke patients, quantitative research, full text articles, relevant related articles, and original articles. Results: There were four articles that met the inclusion criteria. The findings showed that there was an effect of abdominal massage on the constipation of stroke patients. Conclusion: This study found that abdominal massage can reduce constipation in stroke patients and can be used as one of the interventions for constipation management.
A Study on Measuring Spiritual Intelligence among the College Teachers
Authors: - Krishna Dipakbhai Doctor , - Vatsal B. Patel
Published: August 2024

The purpose of this investigation is to study the Spirituality among the college teachers in Surat district of Gujarat. The present study consisted of 51 college teachers from management, commerce and computer application field. This was measured on a five-point Likert's scale commencing from strongly disagree to strongly agree.
Organizational Politics: How Internal Power Struggles Undermine Employee Productivity and Efficiency
Authors: - Pallavi Devi
Published: August 2024

This study examines the detrimental effects of organizational politics on employee performance and workplace dynamics. Through a qualitative case study approach and theoretical framework analysis, I investigate how power conflicts and political maneuvering within organizations can create a negative work environment, akin to a "cold war zone." My findings suggest that organizational politics can significantly decrease employee efficiency, stifle creativity, and hinder productivity. The paper provides insights into the mechanisms by which political dynamics can lead to a toxic work environment and offers implications for managers and organizations seeking to mitigate these effects and foster a more positive and productive workplace culture.
Impact of Income, Gender and Age of the Tourist on Spiritual Tourism in Varanasi
Authors: - Anshuman Pathak
Published: August 2024

Varanasi is the oldest city of the world. It is also known as Kashi. It is famous for spiritual tourism for all religions. Hindus visit here to see the temple of Lord Shiva and Ganga Aarti, Buddhist visit here for the Sarnath. This study highlights the impact of income, gender and age of tourists on spiritual tourism in Varanasi. Spirituality means belief and religion has been since and in future will be one of the major factors for tourism. Using the correct stimuli called spirituality the tourism industry can excel. The search for spirituality has always been and will remain a major motivator for tourist for exploring religious and spiritual destination. There were the main objective of this study to analyze the impact of income, gender and age of tourist on spiritual tourism in Varanasi. There were three hypothesis were formulated. 50 respondents were selected for data collection. In analysis part correlation test has been used. All three null hypotheses were rejected and all three alternative hypotheses were accepted. Therefore we can say that there is a strong impact of income, gender and age of tourist on spiritual tourism in Varanasi. This study will further help to others researchers who can do research on this topic with different variables and timeframe.
Effect of Small Private Online Course + Presentation, Assimilation, Discussion (SPOC+PAD) on Student Achievement in a Computer Course
Authors: - Liu Fengyuan , - Jarrent R. Tayag
Published: August 2024

This paper aims to document the implementation of the Small Private Online Course (SPOC) + Presentation, Assimilation, Discussion (PAD) teaching strategy to a computer course in a Chinese higher vocational college and assess its effect on student achievement. Through a quasi-experimental design, pre- and posttests will be used to assess student achievement in two lessons in a computer course. The study aims to enlist 160 first-year college students from four Stomatology classes in Gansu Health Vocational College. N-gain scores and tests of significant difference will be used to analyze the data.
The Effect of Motor Dual -Task Balance Training on Balance and Gait of Elderly Women
Authors: - Shilpi Pal , - Pooja N , - Aparna Jha , - Falguni Paul
Published: August 2024

BACKGROUND:
Aging in its broadest sense is the continuous and irreversible decline in the efficiency of various physiological processes. India has second largest number of elderly (60+) in the world. One of the most common problems of elderly is fall. They are the cause of accidental death among people over 65 years of age and account for significant mortality and morbidity, including fractures, impaired mobility and decreased quality of life due to fear of falling and death. Balance is dynamic phenomenon that requires stability and mobility to be a good harmony and in order to properly maintain body balance, the ability to integrate the neurological and musculoskeletal system is important. Balance control is a necessary component of stable walking. Dual-task training is defined as the ability to perform two or more cognitive and motor activities simultaneously while maintaining postural control.

AIMS AND OBJECTIVES:
To study the effect of motor dual-task balance training on balance and gait of elderly women.

METHODOLOGY:
Thirty females were randomly selected according to inclusion and exclusion criteria and was divided into two groups – Group 1: Experimental group and Group 2: Control group. Both the groups were assessed for the berg balance scale and dynamic gait index. These parameters were assessed before the start of the program as pre-test values and at the end of 6 week as post-test values. Group 1 received motor dual task balance training and Group 2 conventional balance and gait training.

RESULT:
The mean age of group 1 was 67.4 years and group 2 was 67.07 years. The statistical analysis correlates the study by proposing that groups taken for study either group1 treated motor dual task balance training and Group 2 conventional balance and gait training.and also showed that group 1 treated with motor dual task balance training had higher significance when compared to group 2 treated with conventional balance and gait training. The mean improvement in BBS was 13.74 in group 1 and 10.66 in group 2. The mean improvement in DGI scores was 6.47 in group 1 and 3.73 in group 2. It was resulted that group 1 received motor dual task balance training had a superior effect over group 2 received conventional balance and gait training.

CONCLUSION:
This study concluded that motor dual task balance training had effective tool in improving balance and gait control and decreases tendency of falls in elderly women.

KEY WORDS: Fall, Elderly, Balance, gait, BBS, DGI, motor dual task balance training, conventional balance and gait training.
Explanation of Numerical Changes in Energy by New Algebra
Authors: - Souravlal Singha
Published: August 2024

New algebra will explain energy change here 1=false 0=true
Hydrobiological Study of Tighra Reservoir, Gwalior M.P (India)
Authors: - Nidhi Tiwari , - R.K Mahor
Published: August 2024

The present paper deal study of Physico- chemical parameter in water of Tighra reservoir of Gwalior (M.P) the water of Tighra reservoir is life line of Gwalior city. Water is more useful of animal and plant as well as provided natural habitat of them. The biota of surface water is governed by various environmental Condition. The water of this reservoir is used for fish culture, irrigation, in industries, domestic and drinking purpose. The present study was carried out one year from July -2023 to June -2024. During investigation period physico-chemical parameter of water in Tighra reservoir like temperature, Ph, Transparency, Turbidity, sodium (Na+), potassium(k+), alkalinity, TDS, TSS, SS , nitrogen, phosphate, chloride , Conductivity, CO₂, Dissolved Oxygen, Total Hardness, Hardness Ca, Hardness Mg, BOD, COD, Nitrate, Chloride, were analysed. Most of the physico-chemical parameter are under permissible limit of NEERI.
Exploring the Ecological Imagination:The Intersection of Environment and Literature in Contemporary Discourse
Authors: - Amita Jaiswal
Published: August 2024

This paper investigates the intersection of environment and literature by focusing on ecological imagination in contemporary discourse. By examining the ways in which the literary texts engage with ecological themes, landscapes and narratives. This study contributes to a deeper appreciation of the complex relationship between literature and environment, highlighting the transformative potential of storytelling in envisioning sustainable futures.
Individual Factors Related to Compliance with Standard Wisdom Implementation in Nurses at Rsud Dr. Rasidin Padang
Authors: - Yulia Roza , - Nelwati , - Dewi Murni
Published: August 2024

Background: It is difficult to control the behavior of health workers implementing standard precautions when providing services to patients which results in infection rates in hospitals being difficult to make zero percent. This can be detrimental to the hospital and the client. Reducing this problem requires efforts
by the hospital to increase the compliance of health workers, especially nurses in implementing standard precautions.
Objective: This study is to identify individual factors associated with standard precautions in nurses at RSUD dr. Rasidin Padang.
Method: This type of research is descriptive analytic with a cross sectional approach. The sample amounted to 45 nurses in the ICU, CVCU, NICU who were taken by total sampling. Data were collected using a questionnaire, data were analyzed univariate and bivariate.
Results: The results showed that almost all nurses were compliant in implementing standard precautions, almost all nurses aged 20-35 were female, had a Ners education and had training. There is a significant relationship between attitude factors, nurse motivation with compliance with the implementation of standard precautions (p <0.05) while there is no significant relationship between factors of education level, age, gender, training with compliance with the implementation of standard precautions in nurses
with (p <0.05).
Conclusion: It is necessary to supervise the obligation to implement standard precautions by nurses and there is an agenda for training on standard precautions on an ongoing basis.
Learned Helplessness of the Faculties of Higher Education
Authors: - Biswajit Saha , - Prodip Karmakar , - Samirranjan Adhikari
Published: August 2024

Learned helplessness is a psychological condition in which, after further stress or depression, a person begins to believe that they have no control over their situation. Therefore, they gave up trying to change and accepted their fate. The purpose of the present study was to ascertain the present status of learned helplessness among the faculties of higher education of Purulia district. The present study was carried out through the Descriptive Survey method by administering the Learned Helplessness Scale (Quinless & Nelson, 1988) on a random sample of 521 sample. The result of the study reflected that on an average both the male and female faculties of higher education expressed Low Learned Helplessness in their life. So, it might be concluded that, the faculties of higher education may be able to take proper decisions, maintain positive attitude towards self and society, continuously facing challenges, tolerate frustration, be effortful, highly motivated, active participation in everything, high self-esteem, having punctuality and accept tasks.
Cross-sectional Study on the Awareness of Hiv among University of Cyberjaya Students
Authors: - Umi Humairah Binti Mohamad Khairi , - Sundaram Jayaseelan Jemima Hannah Joyce , - Syakir Asyraf Bin Sarjuddin , - Thisenth Varmma AL Marimuthu , - Hairel Anuar Selamat
Published: August 2024

Background: Malaysia is currently confronting a significant Human Immunodeficiency Virus (HIV) epidemic, particularly among men who have sex with men (MSM) and the transgender community despite ongoing efforts to raise awareness about HIV. Objective: This study aims to assess knowledge and awareness level about HIV among University of Cyberjaya (UOC) students. Methods: A cross-sectional study done among students of University of Cyberjaya who fulfill the inclusion and exclusion requirement. Data collected via online questionnaires distributed to various faculty and were analyzed by using JASP. This study used a mean scoring system to check the awareness level and Pearsons’s correlation to find the relationship between their awareness level and socio-demographic status. Results: In this study, out of 200 respondent, majority of the participants were Female (64.0%), aged between 20-29 years old (88.0%), Malay (46.0%), Single (96.0%), MBBS students (79.5%) from Faculty of Medicine (79.5%), currently in their 4th year of studies (39.0%). Conclusion: Overall, our findings show most of the participants have a high level of awareness and knowledge on HIV as more than 90% of them are able to identify the correct mode of transmission for HIV. However, there was no significant correlation between their level of awareness and socio-demographic status. In this study, participants show a lack of knowledge on PrEP as 56.5% of them have heard of PrEP. Although the number reached more than half percent, they had never discussed PrEP with family, friends or healthcare workers.
Augmented Reality (AR) and Virtual Reality (VR) in Online Shopping: A Review of Current Research
Authors: - Prabhjot Singh , - Pratibha Khullar , - Sodagar Singh , - Arashdeep Kaur
Published: August 2024

Online shopping platforms are progressively incorporating Augmented Reality (AR) and Virtual Reality (VR) technologies to improve customer experience and decision-making. This study examines the body of research from journals that are indexed by Scopus to investigate the significance, advantages, difficulties, and potential applications of Augmented Reality and virtual reality in online retail settings. The report provides insights into how these technologies are changing the e-commerce scene by synthesizing findings from other investigations.
Significance of ESG in Farmer Producing Organizations
Authors: - Pratheep.C , - Nishad Narayan
Published: August 2024

Farmer Producer Organizations (FPOs) hold immense potential to transform Indian agriculture. However, challenges like low farmer income, climate change, and FPO sustainability persist. This paper explores how integrating Environmental, Social, and Governance (ESG) principles can address these concerns and contribute to a more sustainable and equitable agricultural ecosystem. Despite significant growth, a large portion of FPOs fail within a few years due to factors like inadequate resources and poor leadership. ESG principles offer a solution by promoting sustainable practices, fair labor conditions, and responsible governance. This not only benefits farmers through improved livelihoods and resource efficiency but also attracts socially responsible investors and strengthens stakeholder relationships. Implementing ESG requires a multi-pronged approach. Raising awareness among board members and farmers is essential, followed by developing tailored ESG policies and building capacity in sustainable practices. Collaboration with government agencies and NGOs can provide crucial resources and expertise. By embracing ESG, FPOs can overcome sustainability challenges, enhance profitability, and contribute to a healthier planet. This integration can be a game-changer for Indian agriculture, ensuring food security for future generations. By integrating ESG, FPOs can increase their market competitiveness, attract responsible investments, and contribute to a more equitable agricultural landscape. Implementing ESG requires a comprehensive approach, including awareness building, policy development, capacity building, and strategic partnerships. Ultimately, the adoption of ESG principles can transform FPOs into sustainable and resilient entities, driving positive change in the agricultural sector
Understanding Depression in the Elderly: A Research Review
Authors: - Nisarg Patel , - Vaidehi Shilpi , - Diya Sathvara , - Mayur Savaliya , - Hirava Sevak
Published: August 2024

Introduction: This study, Dr. Robert L. Spitzer's PHQ-9 scale is a reliable tool to measure the severity of depression. Recognizing the importance of mental health among the elderly in Ahmedabad, Gujarat.
Aim: To determine the prevalence and risk factors of depression in the elderly.
Materials and Methods: To identify the prevalence and factors associated with depression in elderly population by using PHQ-9 Scale of 400 Cases.
Conclusion: Data show the burden of depressive symptoms among seniors and underscore the urgent need for mental health care. fatigue, self-criticism and mental illness.
Advancements In Machine Learning Algorithms for Enhanced Fault Analysis and Categorization in Power Systems
Authors: - Eena Agrawal , - Shoyab Ali
Published: August 2024

With the growing number of sources, complexity, and dynamic elements of power systems that are prone to disturbance and electrical faults, conventional methods of fault detection are lagging in power system protection. Major faults are exposed to transmission lines due to several factors, such as climate change, heat, lightning strokes, sudden spikes of current and voltage etc. Protecting these lines from faults is cumbersome using traditional methods. However, with the increasing complexity of transmission lines in power systems, advanced technologies such as machine learning come into play for prior fault detection and identification. ML is becoming a popular and intelligent technique for monitoring and predicting health and diagnosing faults in transmission lines of power systems. Since ML is evolving at a faster pace and given the need for and growth of advanced technologies like ML and artificial intelligence, this paper emphasizes comparative analysis of various ML algorithms for transmission line fault analysis. Comparisons for various line faults (LL, LLG, LG, LLL, LLLG, no fault) in power systems using machine learning techniques have been done in terms of accuracy, precision, and other performance measures. The results of the accuracy of various algorithms are represented as tabulated facts in this paper. The Python programming language has been utilized over a dataset to calculate results. For each algorithm, the confusion matrix shows the accuracy of predicting faults over the testing data after training the model or algorithm on the training data. Upon completion of analysis and comparison of MLT's like LR, SVM, DT, RF, K-NN, and gradient descent for analysis of transmission line fault detection, RF and DT machine learning algorithms provided the best accuracy and results. Finally, this paper gives a brief overview of various line faults, ML algorithms accuracy for each transmission fault in a confusion matrix and tabular format and concluded the best machine learning algorithms for power system transmission line fault identification.
Financial Management and Resource Allocation Practices in the Schools Division of Surigao Del Norte, Philippines
Authors: - Lorraine Shirai Jacob-Dedumo , - Liza L. Chua , - Melvin M. Niňal , - Nikko T. Ederio
Published: August 2024

The purpose of this study is to investigate the financial management and resource allocation practices of schools in the Schools Division of Surigao del Norte. Specifically, the researcher aims to identify the obstacles encountered by these school heads in allocating the Maintenance and Other Operating Expenses (MOOE) budget provided by the government, as well as the strategies they employ to address these challenges. Specifically, it described the profile of the school such as school type, school category, school classification in MOOE and school head’s appointment status. It made use of a descriptive research design employing survey technique to find the extent of financial management and resource allocation practices of school heads. The participants were the selected 56 school heads and 711 teachers of the entire schools’ division. A researcher made questionnaire was used to gather the data needed in this study. The statistical tools used included: frequency count and percentage computation, mean and standard deviation, T-test and Chi-square test. This study found out that schools Slightly practiced accounting on managing their finances. Least prioritize by the school heads is the student-support activities. Majority of the school heads overlooked the student-support activities and tend to allocate so much on infrastructure development. There is a significant difference of responses of school heads and teachers when it comes to assessing the financial management and resource allocation of their school. School administrators lack the necessary financial management abilities and as a result they fail to effectively and efficiently oversee spending through the budget. Teachers were not involved in the budgetary process and as a result, they tend to assess not so good scores on the financial management and resource allocation practices of their respective school.
Hybrid approach for Recurrence of Cardiovascular Disease Prediction Using Machine Learning Techniques
Authors: - A Manjesh gowda , - Anish H G , - Dr. Lakshmi K
Published: August 2024

Cardiovascular disease remains a global health concern, being a leading cause of mortality. In response to the critical nature of heart-related conditions, this research focuses on the development of smart systems leveraging machine learning algorithms for accurate and timely diagnosis. The study explores various machine learning approaches to predict recurrence of heart diseases based on patient data encompassing key health factors. With heart disease being a prevalent cause of death worldwide, real-time forecasting methods from medical data sources have become crucial.
The implementation of machine learning in healthcare demonstrates its potential for early and precise recurrence of disease detection. Despite the abundance of health information generated by medical institutions, there is an underutilization of this data, leading to a healthcare system that is "data rich" but "knowledge poor." This work aims to address this gap by presenting a reliable recurrence heart disease prediction system. The research highlights the necessity for effective analysis methods to uncover connections and patterns within healthcare data.
The proposed prediction system utilizes a diverse set of health factors, contributing to a comprehensive understanding of heart disease. By leveraging machine learning algorithms, the system aims to enhance the accuracy and efficiency of diagnosis. The findings of this research not only contribute to the advancement of predictive healthcare but also underscore the significance of unlocking valuable insights from the vast pool of medical data. Ultimately, the implementation of such intelligent systems holds promise for improving patient outcomes and reducing the burden of cardiovascular diseases on global healthcare systems.
The paper demonstrated Hybrid methods: Support Vector Machine (SVM), Random Forest (RF), and Naïve Bayes (NB), to build the prediction models. Data preprocessing and feature selection steps were done before building the models. The models were evaluated based on the accuracy, precision, recall, and F1-score. The Random Forest model performed best with 94.27% accuracy.
A Comparative Study on Seismic Analysis of Multistory Buildings of LGSS and Other Conventional Structure
Authors: - Satyam Agrawal , - Deepti Hazari
Published: August 2024

The construction industry is increasingly turning to innovative materials and techniques to address modern demands for efficiency, sustainability, and resilience. Among these innovations, Light Gauge Steel Structures (LGSS) have emerged as a noteworthy alternative to traditional construction methods known for their versatility, efficiency, and reduced environmental impact, LGSS provides several benefits over conventional materials like Reinforced Cement Concrete (RCC) and Hot Rolled Steel Structures . These advantages include rapid assembly, enhanced seismic performance, and a lower overall environmental footprint.
A review of phytopharmacology and formulation of sphaeranthus indicus
Authors: Selvamoorthy Hemnath , Elumalai Keerthivasan , Madhavan Midhun Karthick , Veerapathiran Vikram , Yuvan Sankar Suresh Babu , Ranganathan Srinivasan
Published: August 2024

Sphaeranthus indicus Linn., belonging to the Asteraceae family, It thrives abundantly in damp areas, including as a weed in rice fields across India. In traditional Indian medicine, many different components of the plant, including the leaves, cortex, wood, roots, flower, and seed, are used to cure a variety of illnesses. Astringent, stomachic, refreshing, and externally calming are some of the qualities associated with the herb. Sphaeranthus indicus is rich in diverse secondary metabolites, including eudesmanolides, sesquiterpenoids, sesquiterpene lactones, sesquiterpene acids, flavone glycosides, flavonoid C-glycosides, is flavone glycoside, sterols, sterol glycosides, alkaloids, peptide alkaloids, amino acids, and sugars. Essential oils extracted from its flowers and whole plants contain monoterpene hydrocarbons, oxygenated monoterpenes, sesquiterpene hydrocarbons, and oxygenated sesquiterpenes. This comprehensive review encompasses the structure, botanical compounds composition, ethnobotanical uses, and pharmacological activities reported for Sphaeranthus indicus. It underscores the vast medicinal potential of this plant and highlights its importance in traditional and modern medicinal practices.
Advancements in Assisted Reproductive Technologies: A Comprehensive Review of Recent Innovations and Their Impact
Authors: - Dr. Yosif Abdullah Sayer AlAnazi
Published: August 2024

Assisted Reproductive Technologies (ART) have revolutionized the treatment of infertility, offering hope to millions of couples worldwide. This comprehensive review examines the recent advancements in ART up to 2022, focusing on innovations in in vitro fertilization (IVF), preimplantation genetic testing (PGT), and emerging technologies. Through a systematic analysis of literature, this study investigates improvements in ovarian stimulation protocols, embryo culture techniques, and genetic screening methods. The findings reveal significant progress in enhancing success rates, reducing multiple pregnancies, and improving the overall safety and efficacy of ART procedures. Additionally, the study highlights the potential of novel technologies such as artificial intelligence and in vitro gametogenesis in reshaping the future of reproductive medicine. This research underscores the rapid evolution of ART and its implications for patient care, ethical considerations, and future directions in the field.
The Influence of Human Resource Information System Career Planning and Development on Employee Performance: A case of the Institute of Accountancy Arusha
Authors: - Caroline John Lucumay
Published: August 2024

This study sought to examine the influence of human resource information system career planning and development on employee performance: A case of the Institute of Accountancy Arusha. Descriptive survey research design and quantitative research approach were employed. Primary data were gathered through structured questionnaires and secondary data were obtained from various sources including published sources and unpublished sources such as books, research reports, journal articles, dissertations, seminars, magazines, and newspapers regarding the influence of HRIS utilization on employee performance in the Institute of Accountancy Arusha. Descriptive statistics was used to analyze data. Findings revealed that human resource information system career planning and development influenced employee performance at IAA through improving working morale, increasing productivity, performing well the work duties, increasing creativity, ability to make a productive decision in employees’ work. It was recommended that human resource information system human resource information system should be strengthened and improved as to continually influence employee’s performance at the Institute of Accountancy Arusha. This can be done by adopting up-to-date (more sophisticated) human resource information systems.
Socio-Cultural Dynamics and Women’s Identity in Post-Colonial Kenya: An Interrogation of Marjorie Oludhe Macgoye's Coming to Birth and the Present Moment
Authors: Ongere Firdous Nwanyidinma , Rutere Albert Mugambi
Published: August 2024

Published two decades after Kenya's independence, Marjorie Oludhe Macgoye's Coming to Birth and The Present Moment are post-colonial writings that explore the struggle for both national and personal identity. Through the eyes of Marjorie Oludhe Macgoye, the mentioned texts explore the construction of women's identity through social and cultural dynamics. Leaning on the Feminist Theory that seeks to provide an understanding of the women's and girls' situations, roles and responsibilities in the societies they live in, within the cultural and societal dynamics and expectations, this paper seeks to analyze the social and cultural dynamics in the post-colonial societies the two texts are set in, in relation to the individual identity of the female characters. The paper has the objective of interrogating how the social and cultural dynamics work to shape the identity of female characters. Consequently, this paper concludes that the identity of the female characters in Coming to Birth and The Present Moment is shaped by societal social and cultural dynamics and norms. The female characters, through self-autonomy and active participation in societal aspects, reassert themselves in a bid to reconstruct and accord themselves a new image, different from that which had been shaped and distorted, given the patriarchal socio-cultural dynamics. The paper concludes that the female characters in Coming to Birth and The Present Moment remain resolute to eventually egress from the subjective societal demands and dictates to attain cultural and social independence
Greed or Grievance? Linking Revenue Sharing Implementation to Unauthorised Resource Use and Conservation Support at Bwindi Impenetrable National Park
Authors: Twinamatsiko Medard , Bugabo Stephen Gumisiriza , Kagoro-Rugunda Grace
Published: August 2024

Revenue sharing is considered a major incentive to promote Community Based Approaches to conservation of protected areas. The sharing of revenue from Protected Area resources is supported by conservationists to promote strong partnerships between protected area management and local communities to address unauthorised resource use for better conservation outcomes. This is premised on the ability of the shared revenue to translate into people’s livelihood improvement and minimize their dependency on resources from protected areas. However, empirical realities indicate that the practice of the Revenue Sharing policy barely addresses the initial objectives of human livelihood improvement to gain support for conservation. This study examined the Revenue Sharing Implementation, Data was collected from 715 respondents who included Local community members (including the unauthorised resource users), staff from conservation organisations in Bwindi and local council leaders. Data was collected using household survey questionnaires, key informant interviews and Focus Group Discussion (FGD). Results showed that most beneficiaries of the Revenue Sharing policy were random community households not the unauthorized resource users. The revenue sharing projects allocated to community members were majorly livelihood projects compared to common good projects. Projects included; livestock, passion fruit growing, poultry, provision of land and water projects. Unauthorised resource use was largely motivated by the need for bush meat, minor timber forest products especially firewood, collection of basketry materials and medicinal plants. Protected area managers ought to consider greater involvement of poachers in Revenue Sharing activities. Reducing unauthorized resource use requires systematic but also a combination of factors to mitigate the most driving forces that compel community members to engage in unauthorized forest resource use
Exploring the Relationship Between Maternal Nutrition During Pregnancy and Childhood Amblyopia and Myopia Risk: Longitudinal Cohort Studies
Authors: Zhang Tianbo , Wu Jiachen
Published: August 2024

This study aimed to investigate the relationship between pregnancy and myopia onset or progression in young adult women, utilizing a longitudinal cohort design with a substantial sample size. Myopia is a prevalent refractive error with significant public health and economic implications. There are genetic and environmental risk factors for myopia; however, the role of pregnancy in the development of myopia is unknown. No longitudinal studies with extensive sample sizes have clarified the relationship between pregnancy and myopia. This study included 100 women aged 20–50 years, who were followed up biennially for up to 14 years. Pregnancy occurrences and myopia assessments were recorded. A comparison of individuals with and without pregnancies revealed differences in the incidence of myopia and amblyopia, their ages, and body mass index. Hazard ratios for myopia onset or progression were significantly lower in individuals with at least one pregnancy, particularly during the early follow-up periods. Sensitivity analyses and adjustments for confounders supported these findings. This study demonstrated that pregnancy may prevent myopia onset or progression, particularly during early adulthood. Future research should confirm these findings and investigate the underlying mechanisms, informing clinical decisions, including refractive surgery timing in women of childbearing age.
Applying the PRECEDE-PROCEED model to develop MommaConnect: a digital healthcare platform for addressing postpartum depression and improving infant well-being
Authors: Posmontier Bobbie , Horowitz June Andrews , Geller Pamela A. , Elgohail Mona , McDonough Mary , Alvares Kayla , Smoot Jaleesa , Chang Katie , Ma Tony
Published: August 2024

The PRECEDE-PROCEED model is a comprehensive planning and theoretical framework that incorporates epidemiological, environmental, behavioral, and social factors systematically to design, implement, and evaluate health promotion programs. As such, PRECEDE-PROCEED is a highly effective tool for addressing complex and significant public health concerns like postpartum depression (PPD). PPD negatively impacts mothers and their infants, with studies showing that approximately one in eight mothers experience PPD, leading to adverse effects on maternal functioning and infant development. However, access to specialized evidence-based treatment remains significantly limited due to barriers including social determinants of health. This paper explores the application of the PRECEDE-PROCEED model as a planning and theoretical framework for the design and development of MommaConnect, an innovative digital healthcare platform aimed at reducing PPD symptoms and improving maternal-infant interaction while overcoming barriers to treatment. Key components of the MommaConnect design and development process are mapped onto the steps of the PRECEDE-PROCEED model. MommaConnect features are aligned with specific stages of the model, from assessing, predisposing, enabling, and reinforcing factors to designing, implementing, and evaluating the intervention. By leveraging this model, MommaConnect represents a promising innovative approach to address PPD to improve maternal functioning and infant health in a digitally-enabled era. This paper underscores the importance of utilizing a framework like the PRECEDE-PROCEED model in the design and development of innovative healthcare solutions.