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FACTORS INFLUENCING WOMEN’S ENTREPRENEURSHIP AND SELFRELIANCE AS PANAC...
5
FAKOREDE Olufisayo Olukemi, Dr...
Phd in Business Administration (Entrepreneurship and Human Resource Management), Division of Statistics and Records, Adeyemi Federal University of Education, Ondo, Ondo State, Nigeria
117-123
https://doi.org/10.5281/zenodo.15053088
This study investigates the factors influencing women’s entrepreneurship and selfreliance as a panacea to combating unemployment in Nigeria, focusing on selected entrepreneurs
in Ondo State. Through a qualitative research design, the study utilizes interviews and surveys to
gather insights from a diverse range of women-led businesses, from small-scale enterprises to
larger ventures. Findings reveal that women entrepreneurs encounter significant challenges, such
as limited access to finance, inadequate training, and societal barriers. Despite these obstacles,
their contributions to job creation and economic development are considerable, with many
women entrepreneurs achieving self-reliance and creating employment opportunities within their
communities. The study underscores the need for supportive government policies that improve
access to funding, training, and resources tailored for women entrepreneurs. Recommendations
include establishing microfinance institutions, implementing targeted training programs, and
fostering networking opportunities to promote collaboration among women entrepreneurs.
Ultimately, this research highlights that empowering woman through entrepreneurship addresses
unemployment while promoting economic growth and social development in Nigeria. By
presenting successful case studies, the study demonstrates the transformative potential of
women’s entrepreneurship in combating unemployment in the region.
Social Dynamics: Exploring the Structural Barriers to Education for Go...
Africa’s monumental challenges in its quest to reform education systems capable of
fostering good governance on the continent appear to be rooted in social dynamics, with an
operational centre on economic, cultural and power dynamics. Though recent decades have seen
improvements in enrolment rates, issues of quality, relevance and equity are still out there.
Conceptually, social dynamics encompass multifaceted sociological elements shaping and
directing human behaviour and societal operations. In Africa, economic, cultural and power
dynamics interact in ways that minimise educational advancement. Economically, funding
shortfalls stymie infrastructure and teacher development, while volatile landscapes constrain
skills alignment. Disparities also abound, with poverty exacerbating inequities. Cultural
dynamics manifest in diverse cultural values, resistance to Western models and gender
disparities. Power dynamics manifest through patrimonial interference by political elites seeking
personal agendas, relegating meritocracy. Within educational institutions, administrators and
other officials engage in counterproductive power plays. Recommendations include unified
educational policies, increased funding, culturally relevant curricula, prioritising girls' education,
promoting indigenous languages, ensuring institutional autonomy and evidence-based
policymaking.
DEVELOPMENT AND CONSTRUCTION OF COEFFICIENT OF VARIATION CONTROL CHART...
This study introduces a novel approach to process monitoring by developing a
Coefficient of Variation (CV) control chart based on the percentiles of the Size-Biased Lomax
Distribution (SBLD). Traditional control charts, such as Shewhart charts, often assume
normality, which may not be suitable for skewed or heavy-tailed data commonly found in realworld processes. The proposed CV control chart leverages the SBLD, a distribution well-suited
for modeling skewed data, to provide more accurate and robust monitoring of process variability.
The methodology involves deriving the mathematical properties of the SBLD, constructing
control limits using percentiles, and validating the chart's performance through simulation
studies and real-world applications. Results demonstrate that the SBLD-based CV control chart
outperforms traditional methods in detecting process variations, particularly for skewed data.
This research contributes to the field of statistical process control by offering a tailored solution
for monitoring processes with non-normal data distributions, enhancing quality control practices
across various industries.
Evaluating the Potential of a Solitary Enzyme ‘α-amylase’ on Saccharif...
7
Sumit Sarkar, Preeti Kaur, Pra...
Asst. Technical Officer (Project). Chhattisgarh Biofuel Development Authority, Raipur, Chhattisgarh, India
97- 102
https://doi.org/10.5281/zenodo.15043777
Rice (Oryza sativa) is a vital staple food for over half of the global population, with
Chhattisgarh, India, being a significant producer often referred to as the 'Rice Bowl' of the
country. Despite its large-scale production, substantial quantities of rice become deteriorated and
unfit for human consumption, resulting in considerable waste. This study investigates the
conversion of deteriorated rice into bioethanol as a sustainable solution to address both
environmental and economic challenges. The process involves starch liquefaction, enzymatic
hydrolysis, fermentation, and distillation. This manuscript focuses on optimizing the use of αamylase, a key enzyme for converting rice starch into fermentable sugars. Three varieties of
deteriorated rice were evaluated, with DRS 2 showing the highest starch concentration of
73.61%. Optimal hydrolysis conditions were determined to be 8% α-amylase concentration, pH
6.5, and 90°C, which yielded 79.78% reducing sugars. Subsequent fermentation with
Saccharomyces cerevisiae and a two-stage distillation process produced an ethanol yield of 22.8
grams per 100 grams of deteriorated rice. This study demonstrates that utilizing deteriorated rice
for bioethanol production is a viable, cost-effective, and environmentally friendly alternative to
fossil fuels. It offers a means to reduce waste, lower greenhouse gas emissions, and potentially
boost local economies by providing a renewable energy source.