Job Satisfaction and Motivation in Enhancing Performance
Kosovare Mustafa-Sadiku
Abstract: Aim: The purpose of this research was to look at the link between work satisfaction, motivation, and employee performance in a variety of enterprises in Kosovo. The research sought to examine how workplace dynamics affected employee outcomes, with an emphasis on critical aspects such as performance goals, training opportunities, and career development.
Unintended Pregnancies among University Students: Sources and Implications for Health Education Programs
Butto Amarch
Abstract: Unintended pregnancies among university students are a pressing public health issue with far-reaching consequences for individual well-being, academic achievement, and broader societal development. These pregnancies are often associated with early childbearing, which increases vulnerability to HIV/AIDS, particularly in sub-Saharan Africa. In 2017, young people accounted for 34% of new HIV infections globally, underscoring the prevalence of unprotected sexual activity in this demographic. Additionally, while two-thirds of unintended pregnancies result in childbirth, one-third end in unsafe abortions, contributing to maternal morbidity and mortality.
Leveraging AI and Machine Learning Tools for Predictive Threat Detection and Anomaly Identification
Jayasudha Yedalla
Abstract: In this paper, it is, therefore, argued that in order to manage new threat risks and protect complex systems that are developed from day to day, there is the need to incorporate artificial intelligence and machine learning in the identification of threats and anomalies. Most of the time, conventional techniques are ineffective with addressing emerging and emerging threats. AI development stands as an impossible-to-avoid technology. Artificial Intelligence finds potential threats and detects differences faster than our current real-world security responses. By combining artificial intelligence and machine learning with automated detection and response tools systems are now more advanced than standard threat finding technologies. Machine learning algorithms are very useful in finding patterns and deviations from them, showing threats. Big data analytics through data science helps fight threats with Artificial Intelligence and Machine Learning additions to its tools for better detecting unusual activities.
Simultaneous Analytical View of Frequency Modulation (FM) Radio Signal Strength and Climatological Parameters in Radio Communication
Familusi, T. O.
Abstract: The research work has adopted a multiparametric device capable of measuring frequency modulated radio signal strength; climatological parameters and radiorefractivity concurrently, to access data for FM radio signal strength and weather parameters for the research analyses.
Spontaneous Potential Field Survey of the Earth Due to Geologic, Hydrologic and Geochemical Interactions to Detect Mineral Deposits in Our Environment
Familusi, T. O
Abstract: Spontaneous potential field survey was conducted at specific locations on the university campus of The Federal University of Technology Akure, Ondo State, Nigeria using a spontaneous potential meter, locally fabricated, calibrated and tested to be in compliance with the available standard type of the university. Two sites were located within FUTA campus for the field survey, one around the Post Graduate School building block, Obanla (north location of the campus), and the second location around Physics Observatory Ground at Obakekere (south location) where the field work for the research was conducted.
Reforming Public Financial Management: Lessons from Libya’s Experience in a Fragile State
Abdalslam Ali Benabdalla
Abstract: Until today, the interactions between stability, the nature of the political regimes, and economic growth have been enigmatic. According to Rostow (1990), an economic takeoff would require the existence of a strong regime or political stability, which is a prerequisite for economic growth.
To study the academic achievement of adolescent student’s in Govt. and private school
Amrita Jain Research, prof. DR. Jamal Akhtar
Abstract: This study was undertaken to measure the academic achievements of adolescents of government and private higher secondary school. A total sample of 100 [50 male+50 females] higher secondary school students were selected through random sampling technique.
Adamantinomatous Craniopharyngioma In A Young Child: A Case Report
Ahmed El Heiba Mamina, ZEIN EkhtElbenina, Mouna Mohamed Yaya Elkherchy , Mohamed Abdellahi Deddah, Cheikh Sid’ Ahmed Tolba , El Hadj Menny
Abstract: Adamantinomatous craniopharyngioma (ACP) is a rare, benign, but locally aggressive brain tumor derived from the embryonic remnants of Rathke’s pouch. Although its incidence is bimodal, primarily affecting children and adults, the adamantinomatous variant predominates in children and poses significant diagnostic and therapeutic challenges due to its proximity to critical structures, such as the optic chiasm and hypothalamus. These tumors are characterized by mutations in the CTNNB1 gene, leading to activation of the WNT/β-catenin pathway, and clinically present with visual disturbances, signs of intracranial hypertension, and endocrine dysfunction. Typical MRI findings include lobulated, predominantly cystic masses with calcifications and gadolinium enhancement.
Influence Of Intellectual Stimulation On Performance Of The Nyandarua County Assembly, Kenya
Leah Wanjiru Wanderi and Dr. Videlis Njeri Njuguna
Abstract: The county assemblies in Kenya have been experiencing some challenges in the course of executing their mandate. The problem was shown as delays in formulation of legislature, representation of the needs of the general public and ineffectiveness in overseeing the county executive members. For the case of Nyandarua county assembly, the absence of county clerk, frequent impeachment of county assembly speaker and infighting amongst leaders; has had a negative impact on performance outcomes.
The effects of training on improving employee performance
Kosovare Mustafa-Sadiku
Abstract: This research investigates how ongoing employee training influences workplace performance, focusing on job satisfaction, productivity, and organizational success. In today competitive world, businesses engage in organized training programs to improve individual skills and build a learning culture.
The study purpose is to look at the relationship between employee training frequency and its impact on performance metrics, especially how continuous training improves job satisfaction and productivity.
A Comprehensive Literature Review of Machine Learning Algorithms for Stress Detection
Mrs. Mohini Mukund Mohod, Dr. P. M. Jawandhiya
Abstract: Stress is a major factor causing many diseases in today society. In this survey, the paper explore recent research that focuses on detecting stress in everyday life using various techniques. While there are studies on stress detection in controlled lab settings, there is a shortage of research specifically looking at how stress is identified in real-life, day- to-day circumstances. A thorough review of machine learning-based stress detection is given in this research study. Various algorithms, ranging from traditional statistical methods to advanced deep learning models, are scrutinized for their effectiveness. By examining detection techniques, conducting a thorough literature survey, and evaluating the advantages and disadvantages of machine learning algorithms, the paper contributes to the evolving landscape of technology-assisted mental health interventions. The findings aim to guide future research endeavors, fostering responsible and impactful applications of machine learning in the domain of stress detection and mitigation.
Semiotic Analysis Personal Branding @Vinamuliana on Social Media
Abdul Rahman HI, Vania Utamie Subiakto, Farid Hamid Umarela, Mamun Murod Al-Barbasy
Abstract: Personal branding is a person personal brand that can be remembered by everyone. People might forget someone face. However, the personal brand or branding that is created will always be remembered by other people. The problem in this research is the large number of Vina Muliana followers on the Instagram account @vinamuliana, what kind of personal branding characteristics are being built. This research aims to find out the meaning and signs of Vina Muliana personal branding through the Instagram account @vinamuliana as a medium for forming personal branding. The research method uses a qualitative approach with a semiotic analysis method, Charles Sanders Peirce semiotics has the concept of trichotomy The triangle of meaning consists of three main elements which are closely related to each other, namely sign, object and interpretant.
The Health Impacts of Unsafe Tap Water: A Short Review
Amir Farukh Bahaduri
Abstract: Unsafe tap water remains a critical public health challenge, particularly in regions with inadequate infrastructure and poor water treatment systems. This review explores the health risks associated with common contaminants in tap water, including arsenic, lead, fluoride, nitrates, and pathogens. Chronic exposure to these pollutants contributes to severe health outcomes such as cancers, neurological disorders, developmental delays, and cardiovascular diseases. The findings underscore the urgent need for improved water quality management, regulatory interventions, and public awareness to mitigate these risks and promote equitable access to safe drinking water.
The Evolving Symphony: The Role of a Customer Success Manager in the Age of AI
Kartheek Alladi
Abstract: The advent of Artificial Intelligence (AI) is fundamentally reshaping the business landscape, impacting roles across various departments. One such role undergoing a significant transformation is that of the Customer Success Manager (CSM).
Deeplearning Based Mobile App for Image Capture and Microplastic Analysis in Water Systems
Renju mol.A, Dr.RamMohan N.R
Abstract: The widespread presence of micro-plastics in waterbodies lead to great impact on aquatic organisms and our ecosystem. Now a days, water pollution is increasing day by day through human inference. So we need to reduce it by employing some techniques. Traditional methods to detect the micro- plastics are time consuming, labor intensive and limited in accuracy. Recent advancements in deep learning provides promising solutions to automate and enhance the detection and classification of micro- plastics. This study proposes the deep learning models (different types of CNN) such as U-Net or ResNet-50 or Faster R-CNN to recognize the micro-plastic content in different waterbodies. Here the proposed model utilizes a mobile camera to capture the images or upload any images to identify the micro-plastics based on chemical composition. These models are trained with the dataset (micro-plastic dataset for computer vision) ensures robustness in distinguishing micro-plastics from other particles. U-Net provides the best accuracy compare with other models.
The Ascendant Role of the Customer Success Manager: A Cornerstone of Sustainable Growth in the SaaS Landscape
Kartheek Alladi
Abstract: The Customer Success Manager (CSM) has evolved from a support role into a strategic partner in SaaS companies. CSMs now proactively drive customer success by onboarding, training, and maximizing product value. The role demands strong interpersonal, communication, and data analysis skills to understand customer needs and personalize the customer experience. Data-driven strategies enable CSMs to measure effectiveness and demonstrate value. As the SaaS industry grows, the demand for skilled CSMs will increase. While new technologies and automation may transform the role, the CSM focus on customer relationships and success will remain essential for SaaS company growth.
Traffic And Wellness: A Look Into The Health Habits Of Baguio City Traffic Enforcers
Dr. Juvy Carame, Dr. Warren Galas Moyao
Abstract: Traffic enforcers play an essential role in ensuring road safety and order, but their demanding work under challenging conditions can negatively impact their well-being. This study aimed to assess the degree of adherence to health habits among traffic enforcers in Baguio City, focusing on physical, mental, and social aspects. A descriptive study was conducted with 41 traffic enforcers from the PNP Traffic Management Unit selected through simple random sampling. Self-reported questionnaires assessed adherence to health habits in each domain. The overall weighted mean score for adherence to health habits was 4.23, indicating a generally high level of engagement. Traffic enforcers reported consistent adherence to practices related to physical well-being (mean = 4.27), mental well-being (mean = 4.27), and social aspects (mean = 4.16). The high mean score for social health habits suggests a prioritization of social interaction and positive relationship building. This study revealed a positive commitment to health habits among Baguio City traffic enforcers across physical, mental, and social aspects. These findings provide valuable insights for future research and potential well-being support programs for traffic enforcers.
The Exit of Sahel States from Ecowas: A Political Analysis of Regionalism in Crisis
Robert Abeku Ansah
Abstract: An important turning point in the history of regional integration in West Africa is the exit of Burkina Faso, Niger, and Mali from the Economic Community of West African States (ECOWAS). This study looks at the political reasons behind these Sahelian states decision to leave, placing it in the larger framework of military-led administration, anti-imperialist sentiment, regional security issues, and ECOWAS perceived inadequacies. The paper investigates how political unpredictability, concerns over sovereignty, and outside influences shaped the withdrawal. The ramifications of the recently established Alliance of Sahel States (AES) as a developing substitute for ECOWAS are also taken into account. Critical questions concerning the future of regional integration, governance, and security cooperation in West Africa are raised by the researcher argument that the pull-out is a reflection of deeper structural tensions within ECOWAS. To evaluate the wider effects of this regional problem, the study makes use of historical viewpoints, qualitative analysis, and current political events.
Pilkhana Massacre: The Complex Web of Foreign Interference, Institutional Collapse, and the Rise of Bangladesh’s Covert Surveillance Future
Md Tawfiqur Rahman
Abstract: The 2009 Pilkhana Massacre represents one of the gravest crises in Bangladesh’s post-independence history, marked by the ruthless killings of 57 senior officers of the Bangladesh Rifles (BDR), alongside numerous civilians. This unprecedented mutiny shattered the nation’s military command structure, sent shockwaves across the country, and exposed critical weaknesses within Bangladeshs security and intelligence infrastructure.
Chromatography and Statistical Testing for RF Measurements (CASTFORM) Between Pigments of Celosia argentea Cultivars
Michael Gabriel A. Del Rosario
Abstract: The Celosia Argentea linn. is a versatile plant that serves various purposes, from its ornamental value with unique flowers of different inflorescences to its medicinal properties in traditional treatments of various diseases in Asian countries and tropical Africa.
Unraveling Enterprise Large Language Model platform - Cohere
Dippu Kumar Singh
Abstract: Enterprise solutions are entering a new stage in artificial intelligence advancements, with Large Language Models (LLMs) leading this technological evolution. Cohere Enterprise LLM Platform delivers businesses a powerful natural language processing solution, which integrates with existing enterprise systems, delivers advanced data analysis features along with improved customer interactions and better decision-making capabilities.
Arabesque Geometric Design influence on modern Chinese Architecture
Qurat Ul Ain
Abstract: Arabesque designs are much celebrated art form of Islamic world. The Arabesque design have influenced almost all categories of Artforms in Muslim world, from wood carving, glass, metal wares, textile, illustrations, book covers, carpets to ceramic and Architecture. The floral Arabesque designs are influenced by the Chinese blue and white porcelain. However, intricate and elaborate geometric pattern designs are developed by the Muslim Artists and designers. Chinese ceramic culture was never truly influenced by the geometric aspect of Arabesque design specially in architectural heritage until very recently. But somehow modern Architecture in China is more open and embracing towards other cultures and design aesthetics including Arabesque geometric designs.
Micro and Small Enterprises’ Encounter with Counterfeit Philippine Peso Bill in Lagawe, Ifugao
Elizabeth B. Nabanalan, Marie Joy M. Capdos
Abstract: Micro and small enterprises (MSMEs) are often at risk of becoming victims of counterfeit currency. This study aimed to assess the level of awareness among MSMEs regarding the detection of fake currencies, as well as the frequency with which they encounter counterfeit money in their business transactions. Additionally, the study sought to explore the methods used by these enterprises to dispose of suspicious counterfeit currencies. Employing a descriptive methodology, the research gathered data on awareness levels, the frequency of using counterfeit detection methods, and disposal practices.
Development and Validation of Contextualized Instructional Materials in Teaching GMRC 1
Angel Mariz T. Cosido, Maila B. Otero, Hazel Babe U. Baro, Marlou C. Tagarao
Abstract: This descriptive-developmental study aimed to create contextualized instructional materials for teaching Good Manners and Right Conduct (GMRC) 1, aligning with the first quarter learning competencies of the Department of Educations MATATAG curriculum in the Philippines124. Eight purposefully selected teachers participated in the study: eight identified an essential learning competency that required contextualized instructional material, and five validated the content1.
Leveraging Generative Adversarial Networks for Unsupervised Fraud Detection
Sunil Pradhan Sharma, Elakkiya Daivam
Abstract: This study looks into two main areas related to detecting fraud without using labeled data. The first area focuses on using evaluation methods from Generative Adversarial Networks (GANs) to spot fraud or outliers by calculating the differences between samples from normal (non-fraudulent) data and generated data. The second area explores whether the discriminator of a GAN can be used as a feature space for calculating these differences. Since fraudulent examples are not available during training, the problem is approached as finding outliers.
The effect of family support on the success of women entrepreneurs in Lesotho
Maletlatso Motsomotso
Abstract: This study set out to examine the effect of family support on the success of women entrepreneurs in three districts (Maseru, Mafeteng and Leribe) of Lesotho. The study adopted the interpretive phenomenological qualitative research design. Thirty face-to-face semi-structured interviews were used to collect data. The findings reveal that women entrepreneurs in Lesotho received the following types of family support: financial and non-financial support, emotional support, and instrumental support which helped them in achieving the success of their businesses. These findings highlight the importance of family support to women who own and run their businesses within the Basotho context and culture, which had the greatest impact on the success of their businesses. Therefore, future research should focus on male entrepreneurs to make a comparison of family support between the two genders.
Effect of Communication Channels in promoting Public Participation in the Devolved Units in Garissa County, Kenya
Abdisalam Sheikh Mohamed and Dr. Leonard Wambua
Abstract: In Kenya, the promulgation of the 2010 constitution brought a new structure of governance with a two-tier outlay consisting of the national government and the County governments. The 2010 Kenyan Constitution Chapter 7 outlines the Representation of the People as a concern for fair representation of all people.
Unveiling the Hidden Flavors of Pumpkin: A comparative Sensory Evaluation of Boiled fruit from Diverse Germplasm Collections in Southwest Nigeria
Adejoke. O. Baderinwa-adejumo and Faith E. Udoh
Abstract: The reliance on a few staple crops and the dearth of knowledge on the sensory qualities of some crops has led to underutilization of some crops, and food insecurity in many countries. To address these issues, it is essential to diversify and promote the use of underutilized crops such as pumpkin. Pumpkin, a nutrient-rich and versatile fruit, is an integral part of Nigerian cuisine, particularly in the southwestern region. With its rich cultural and culinary significance, pumpkin has been cultivated and consumed in various forms across different agro-ecological zones. This study explored the sensory characteristics of Cucurbita fruits by adopting stratified sampling approach in selecting 32 accessions from a pool of 127 freshly harvested Cucurbita fruits sourced from four distinct agro-ecological zones in Southwest Nigeria. The selection criteria included morphological characteristics such as size, shape and color uniformity. The fruits were boiled without any additive and allowed to cool at room temperature.
Community-Based Approaches to Literacy Improvement in Kasozi Village, Kagadi District: Socio-Economic Factors and Strategies
Doreen Atugonza, Maali Chrispo, Byaruhanga George William
Abstract: This study explores the socio-economic factors influencing education in Kasozi village, Kagadi District, Uganda, and identifies community-based strategies for improving literacy and educational outcomes. Using a qualitative research design, the study employed semi-structured interviews, focus group discussions (FGDs), and observational visits to collect data from key stakeholders, including community members, local leaders, teachers, parents, health professionals, and NGO representatives. A purposive sampling technique was used to select 40 participants, ensuring diverse representation across gender, age, occupation, and community roles. The participants included 10 community members, 5 local leaders, 6 teachers, 6 parents, 4 health professionals, and 3 NGO representatives.
Enhancing Primary School Completion Rates in Kagadi District, Uganda: A Participatory Action Research Approach
Nyangoma Immaculate, Maali Chrispo, Byaruhanga George William
Abstract: This study examined the barriers to primary school completion in Nyambeho Village, Kagadi District, Uganda, through a Participatory Action Research (PAR) framework involving students, parents, teachers, and community leaders. Findings reveal significant socio-economic, cultural, and infrastructural challenges. Poverty and negative parental attitudes toward education, often due to a lack of formal education, limit families ability to support school attendance, especially in low-income households. Health issues like typhoid and malaria disrupt students attendance, while cultural norms prioritize boys education, leading to higher dropout rates for girls. Poor school infrastructure, overcrowded classrooms, and inadequate sanitation further hinder learning experiences. Additionally, economic barriers such as the inability to afford exam fees and learning materials contribute to absenteeism and early dropout. Peer pressure, early pregnancies, and cultural practices devalue girls education, exacerbating gender disparities. A lack of parental and community involvement weakens support systems for education, contributing to low motivation and engagement among students. To address these challenges, the study advocates for community-led sensitization, stronger collaboration between parents, teachers, and local leaders, and targeted infrastructure improvements. Financial support mechanisms, such as scholarships and waivers for school-related costs, are crucial for easing the burden on families. Gender equality initiatives and programs tailored to girls education are essential to improving school retention rates. This research highlights the need for systemic change to ensure equitable education outcomes for all children, with a particular focus on empowering girls in Nyambeho Village.
