bluuebunny/crossref_metadata_2025 huggingface dataset:
Short-Term Traffic Prediction
Authors: Jothishwar S. , S. Visnu Dharsini , Dinesh S. , Jayasurya K.
Published: October 2024

Traffic prediction accuracy is pivotal for fruitful urban transportation management. Existing methodologies often struggle to record complex spatio-temporal features of traffic patterns, which results in sub-optimal congestion management. This approach integrates Bayesian inference with a graph attention network (GAN) and a SARIMA model to comprehensively record complex traffic dynamics. The GAN focuses on spatial-dependencies in data, whereas SARIMA considers temporal patterns. Bayesian inference facilitates seamless integration of predictions from both models, enhancing overall forecasting accuracy. To further enhance the accuracy and efficiency of traffic prediction and management, quantum networking is integrated with the Bayesian fusion of GAN and SARIMA. To evaluate, metrics like mean absolute error, root mean squared error, and mean absolute percentage error are calculated. The research contributes to advancing traffic forecasting methodologies and holds promise for enhancing short-term traffic management strategies.
Utilizing Quantum Computing for Reactive Molecular Dynamics With Quantum Network Applications in Biochemical Methods
Authors: Jagan S. , Babu S. B. G. Tilak , Bhavanam Satya Nagakishore , Suresh J.
Published: October 2024

The end of this work is to explore the implicit operation of amount computing ways to reactive molecular dynamics simulations. Enhancing the perfection and effectiveness of simulations in the process of understanding molecular relations and responses is possible because of computing's capacity to handle complex amount circumstances. With a thorough analysis of the current literature and ways, this study clarifies the possible uses of amount computing in reactive molecular dynamics simulations. It demonstrates how quantum computing may be used to break computationally demanding problems including determining response pathways, describing transition countries, and making extraordinarily accurate prognostications about response dynamics. Also, by examining the advantages and disadvantages of applying amount computing ways in this specific field, the study provides perceptivity into possible unborn directions for exploration and development.
Harnessing Smart Digital Business Models Through Advanced Business Analytics
Authors: Krishnamoorthy V. , Marishkumar P. , Parmar Dhara Vinod , Trivedi Nishant Bhuvanesh , Chinnusamy Somu
Published: October 2024

Intelligent digital business models are becoming increasingly important to drive innovation and efficiency in the digital age. This chapter explores the integration of advanced business analytics by formulating these models. By leveraging data-driven insights, companies can improve decision-making, improve efficiency, and deliver customer-centric experiences. The chapter examines various analytical tools and techniques, such as predictive analytics, machine learning, and artificial intelligence, and focuses on their role in business process transformation Through case studies and real-world examples so the chapter shows how businesses can use these technologies to gain a competitive edge, encourage innovation and achieve sustainable growth. The discussion discusses the challenges and considerations in implementing comprehensive business analytics, providing recommendations for successful validation strategies.
Beyond the Horizon
Authors: Sayginer Can , Yurtsever Mustafa
Published: October 2024

The chapter of this book explores the role of cloud computing in business management and emphasizes synergies with artificial intelligence technologies. It covers the basics of cloud computing, practical applications, scalability and security challenges. Benefits such as cost efficiency and improved decision-making are discussed, as well as data privacy and legal concerns. It also includes future trends and recommendations for optimizing artificial intelligence workloads using cloud infrastructure. This section provides information for business managers to effectively apply cloud computing in different sectors.
Determining the Best Machine Learning Model by Predicting the Participation Index of the Borsa Istanbul Stock Exchange With Artificial Intelligence
Authors: Özdemir Enes , Uluyol Burhan
Published: October 2024

Forcasting the future direction of stock indinces has been received significant attention by researchers and investors. Due to the complexcity of information, it is very difficult to predict future stock market price behavior. In this paper, we determine the best machine learning model by forecasting the Borsa Istanbul Stock Exchange participation index with Artificial Intelligence (AI). Six different machine learning algorithms are used to predict the prices of a participation index such as Linear Regression, LSTM, KNN, Auto-ARIMA, Gradient Boosting and Random Forest. Models were built by using the closing rates of the Participation Index between November 2015 and June 2020, and the last 30 days' rate was forecasted. As a main finding, the best model was determined according to accuracy results based on the various models. It is seen that, of the six different machine learning models, the LSTM model provides the most accurate result. This is kind of first study on the prediction of participation index by application of six different machine learning models of AI.
The Role of Sound on the Future of E-Commerce Applications Using Metaverse Technologies
Authors: Ciaburro Giuseppe , Kumcu Elif Hasret
Published: October 2024

In recent years, the rapid development of Metaverse technologies has revolution-ized the e-commerce landscape, introducing immersive and interactive experienc-es once considered futuristic. This article explores the role of sound in supporting e-commerce applications in the Metaverse. Often an overlooked component in virtual environments, sound plays a crucial role in creating a multi-sensory shop-ping experience that engages users on a deeper level. This research explores the various ways in which sound can be integrated into Metaverse-based e-commerce applications, including spatial audio, ambient soundscapes, and interactive audito-ry feedback. It examines how these auditory elements can have a significant im-pact on user engagement, emotional connection, and overall satisfaction with the virtual shopping experience. Finally, the paper analyses potential challenges and considerations related to the implementation of sound in Metaverse e-commerce applications, such as privacy and accessibility issues.
Evolving Dynamics
Authors: Tripathy Soha , Swaminathan Karunya , Bhadoriya Sheetal , Sapre Abhilash Arun , Singh Shalini
Published: October 2024

The use of Artificial Intelligence (AI) in contracts is changing traditional legal structures introducing new elements in how contracts are created carried out and enforced. This research study delves into the effects of AI on contracts looking at legal, technological and practical consequences. Through examining survey data from experts, businesses and consumers as well as conducting detailed interviews and case studies the study uncovers how AI improves efficiency and precision in contract procedures while presenting challenges related to transparency, responsibility and legal adherence. The results emphasize the necessity for updated structures and recommended practices to handle AI related matters effectively ensuring strong and fair contract administration in todays digital era. Policy suggestions are given to enhance transparency, responsibility and legal compliance to contribute to the conversation, on AI and contract law. This study offers perspectives with the goal of bridging existing gaps in current research and guiding future advancements in AI driven online contracts.
EchoCareer
Authors: Ertuğrul Duygu Çelik , Bitirim Selin
Published: October 2024

Job seekers navigate the job market by submitting resumes directly or using online platforms. However, recruitment for individuals with disabilities presents unique challenges, demanding sensitivity to both employer and candidate needs. EchoCareer, a career ontology knowledge base, is proposed to offer tailored job recommendations for hearing-impaired individuals. Utilizing Semantic Web technology, EchoCareer provides machine-understandable information. While currently focusing on hearing impairment, ongoing development aims to address various disabilities, ensuring inclusivity. Quality assessment via the OntoMetric tool ensures compliance with standards, emphasizing consistency, accuracy, and completeness. EchoCareer, a rare ontology in its field, holds promise for integration into job recommendation software, particularly in Human Resources departments of large companies. It serves as a crucial tool for unbiased recruitment, supporting inclusive practices and facilitating efficient and fair hiring processes.
The Future of Machine Learning and Robotics in Digital Technology for Hospitality
Authors: Ravichandra Thangjam , Murugeswari P. , Revathi M. , Senthilkumar S. , Rathore Devendra Singh , Sudhakar M.
Published: October 2024

The hospitality sector is undergoing a significant transformation due to the integration of machine learning and robotics into digital technology. This chapter delves into the potential future impacts of these advancements, highlighting their potential to improve guest experiences, streamline operations, and boost efficiency. Machine learning algorithms are revolutionizing personalization by providing tailored services and predictive analytics that anticipate customer needs. Robotics, including automated check-ins and concierge services, are revolutionizing service delivery, reducing human error, and improving speed, while streamlining backend processes like inventory management and predictive maintenance. The chapter discusses the future of hospitality, emphasizing the importance of machine learning and robotics in driving digital transformation, while also addressing challenges like data privacy, ethical considerations, and the need for skilled workforce adaptation.
Augmented Reality and IoT in Education to Enhance Learning Outcomes of the Students
Authors: Yadav Seema
Published: October 2024

The fourth industrial revolution, known as Industry 4.0, is having a positive effect on business digital transformation as well as manufacturing and educational processes. Technology that represents fresh and important advances in the area, such as the Internet of Things (IoT) and Education 4.0, which uses blended learning, augmented reality, and virtual reality, are referred to as emerging technology trends in education. Flipped classrooms, MOOCs, and chat rooms are still essential for excelling the learning and developing the necessary skills to sustain learning in this advanced age. The convergence of augmented reality and the Internet of Things is essential for the advancement of future technologies. A technological breakthrough known as the Internet of Things (IoT) makes it possible for environments, people, and items to interact everywhere. Embedded sensors and actuators will collect data, which will subsequently be transferred to specialized applications to produce usable information.
Bibliometric study of scientific productivity in intervention programs that improve cognitive impairment in older adults
Authors: Abarca-Fernandez Denices , Vidal-Espinoza Rubén , Aguilar-Portugal Tania Roxana , Gonzalo-Gomez Henry , Cossio-Bolaños Marco , Gomez Campos Rossana
Published: October 2024

Realizar un análisis bibliométrico integral de la productividad científica relacionada con programas de intervención que buscan mejorar la función cognitiva en adultos mayores, según revista, país y tema de intervención en la base de datos pubmed. Se realizó un estudio bibliométrico durante el periodo 2018 al 2023. La búsqueda bibliográfica se realizó en la base de datos PubMed. Los términos de búsqueda fueron: cognitivecayden, cognitivecayden, exercise program, intervention program, physical exercise,older adult, elderly. Cada artículo identificó: año de publicación, idioma de publicación, país de publicación, nombre de la revista y tema del estudio. Se utilizaron los lineamientos establecidos por PRISMA. Se incluyeron 51 publicaciones científicas, analizadas en 34 revistas. China lidera con 14 estudios (27,5%), seguido de Estados Unidos con 5 artículos (9,8%). Corea y Singapur están en tercer lugar con 4 estudios cada uno (7,8%), seguido de Japón con 3 estudios (5,9%). En cuanto al idioma de publicación, el 96,1% (n=49) fueron publicados en inglés. Solo el 3,9% (n=2) fueron publicados en español. La revista con mayor frecuencia de publicaciones fue Nutrients, con 6 artículos publicados, lo que representa el 11,8% del total y destaca como líder en este campo. Le siguió BMC Geriatrics con 3 artículos publicados, lo que representa el 5,9% del total. Destaca el aumento de las investigaciones sobre intervenciones para el deterioro cognitivo en OA, concentradas principalmente en los años 2020 y 2023. China lidera la producción de estudios seguida de Estados Unidos, Corea y Singapur. Los programas de intervención más estudiados incluyen el ejercicio y el deporte, seguido de la nutrición y el entrenamiento computarizado. Destaca la revista “Nutrients” con mayor número de artículos, seguida de “BMC Geriatrics”.
Prescription criteria and effects of explosive strength training in indoor soccer players: a systematic review
Authors: Guzmán Ana Belén , Vidal-Espinoza Rubén , Urzua-Alul Luis , Castelli Correia de Campos Luis Felipe , Fuentes-López José , Urra-Albornoz Camilo , Cossio-Bolaños Marco , Gomez-Campos Rossana
Published: October 2024

Explosive strength is fundamental in the performance of athletes. The objective is to identify the criteria used for the prescription of Explosive Strength Training (EST) and to verify the changes it produces in futsal players. A systematic review of studies analyzing the criteria used for the prescription of explosive strength training was conducted in PubMed/MEDLINE and Scielo, considering the period between 2017 and 2023. The search strategy used the terms: players, Futsal, Futsal training, strength, physical exercise, explosive strength, intervention, experimental study. Data extraction included: year of publication, country, sample, protocol performed (content and activity developed, duration, intensity, frequency, total weeks). A total of six studies were identified. Fifty percent of the studies were developed in Brazil, the others in Italy, Spain and Portugal. Five studies applied a training of 2 sessions per week and one indicated 2-3 sessions. Three studies describe the training sessions (study 1: 15-30 minutes, study 2: 20-25 minutes, study 3: 1 hour). Five studies used 1RM and one study used subjective perception of exertion (PSE). The contents of the interventions were varied, from squats with weights, accelerations and decelerations, leg press, leg extension, plyometrics. The training criteria for explosive strength were: intensity controlled by a 1RM, frequency of 2 to 3 sessions per week, duration of 15 to 30 minutes per session and the training contents were varied. These results suggest positive changes in CMJ, increasing explosive strength from ∼2.0 to 4.6 cm (5.8 to 13.7%). These findings highlight the need to develop a more standardized protocol to optimize the benefits of explosive strength training in this athletic population.
Biopreservation strategies using bacteriocins to control meat spoilage and foodborne outbreaks
Authors: Fernandes Nathália , Achemchem Fouad , Gonzales-Barron Ursula , Cadavez Vasco
Published: October 2024

Fresh meat is highly perishable, presenting challenges in spoilage mitigation and waste reduction globally. Despite the efforts, foodborne outbreaks from meat consumption persist. Biopreservation offers a natural solution to extend shelf life by managing microbial communities. However, challenges include the effective diffusion of bacteriocins through the meat matrix and the potential inhibition of starter cultures by bacteriocins targeting closely related lactic acid bacteria (LAB). LAB, predominant in meat, produce bacteriocins – small, stable peptides with broad antimicrobial properties effective across varying pH and temperature conditions. This review highlights the recent advances in the optimization of bacteriocin use, considering its structure and mode of action. Moreover, the strengths and weaknesses of different techniques for bacteriocin screening, including novel bioengineering methods, are described. Finally, we discuss the advantages and limitations of the modes of application of bacteriocins toward the preservation of fresh, cured, and novel meat products.
The handicapped: medical, psychological, social problems
Authors: Iacontino Michele
Published: October 2024

Following the indication of the proposed theme, and on the basis of certain experiences gained by the ANPH (National Association for the Promotion of the Handicapped) in recent years, it seems to me useful to emphasise certain general considerations, in order to allow each person to place them in the experience or field of work closest to them and verify them.
New York Medical Code of Ethics of 1823: a critical historical and topical commentary
Authors: Bazzi Franco
Published: October 2024

Not available.
A situational review of national Digital Health strategy implementation in sub-Saharan Africa
Authors: Ogundaini Oluwamayowa O. , Mlitwa Nhlanhla B.W.
Published: October 2024

As the global communities approach 2030, towards achieving the United Nations (UN) Sustainable Development Goal (SDG) 3 (Good health and well-being), there are commendable technology-driven efforts in sub-Saharan Africa (SSA) to address health care system-related challenges, including the development of national Digital Health strategies. While these strategies are supposed to drive health care systems strengthening for health security, the extent to which they are being operationalised, implemented and impact measurement is scarcely reported. The Digital Health strategies have expiry timelines and do not consider the integration or implications of Industry 4.0 technology advancements on the health sector. The authors make a probable claim that national Digital Health strategies may not achieve their objectives without adequate re-assessments and that the scarce reporting constitutes a transdisciplinary gap between government-led health authorities, health care practitioners and academic research collaboration. Hence, the objective of this article was to conduct a review of existing peer-reviewed literature that have somewhat investigated implementation of Digital Health strategies in SSA. The findings suggest that inadequate capacity to monitor and report progress, limited available resources and the lack of Digital Health leadership are three of the critical factors that contribute to the uncoordinated and slow pace at which national Digital Health strategies are being operationalised in SSA.Transdisciplinary contribution: The article advocates for a transdisciplinary approach through strategic stakeholder engagement between relevant health authorities, academia, industry and non-scientific stakeholders to coordinate, monitor, assess and in reporting extent of national Digital Health strategies implementation, towards UN SDG 3.
The Return of the Worker in Contemporary Slovene Drama
Authors: Pezdirc Bartol Mateja
Published: October 2024

The title of this contribution stems from an observation made while reading contemporary Slovene plays, which have been reflecting contemporary social issues more and more intensely since the 2008 financial crisis. In order to get or keep a job, many people – both the unemployed, often young and from a vulnerable group, as well as precarious workers and even some workers with regular employment – are subjected to exploitation by their superiors and are unable to make a decent living despite strenuous overtime work. In a comparative context and against a backdrop of sociological findings, the article analyzes three plays with a thematic focus on workers, their rights, social protection, and working conditions: Hlapec Jernej in njegova pravica (The Bailiff Jernej and His Rights) by Žiga Divjak, Romeo in Julija sta bila begunca (Romeo and Juliet Were Refugees) by Vinko Möderndorfer, and Naše skladišče (Our Warehouse) by Tjaša Mislej. These works portray a new type of worker, one who does not rebel or struggle for change, does not have new ideas or opposes the system, but rather wishes to work, earn a decent wage, bring up their children, and be happy. The plays in question are based on documentary materials and research, such as media stories, workers’ testimonies, or autobiographical experiences; in all three plays, the real intrudes on the fictional. By raising the question of worker exploitation, the authors give voice to a workforce that is often overlooked and nearly invisible in public debate, and they call attention to how the world is becoming increasingly dehumanized.
Metamorphosis of Otherness and the Contemporary Slovenian Novel
Authors: Rakovec Ana
Published: October 2024

The metamorphosis of otherness occurs under the influence of postmodern ethics and the changed perspective of the world even in contemporary novels. Therefore, I analyzed and interpreted this phenomenon in three contemporary novels: in the Slovenian novels Starec in jaz (TheOld Man and Me) (2017) by Sarival Sosič and Po celi ravnini pod nebom (Across the Whole Plain Under the Sky) (2022) by Jana Putrle Srdić, and in the Cuban novel Silencios (Tišine) (1999) by Karla Suarez. When explaining and connecting the concept of the Other and otherness, I relied on the understanding of the binary structure Absolute/Other, building on Nietzsche’s theory about the Apollonian and Dionysian poles of the once harmonious binary union. In the analyzed contemporary (Slovenian) novels, a new multi-perspective emerges, which, influenced by postmodern dynamics, bends and relativizes any binary entities. The analysis of the metamorphosis of otherness revealed that observed building blocks of binary motives (harmony/disharmony, Apollonian/Dionysian, culture/nature, heterosexuality/homosexuality) shake off established value signs by exposing their variability. The evolving attitude towards the entity of the Other, which no longer sees the world as a hierarchically arranged monolith, brings a multi-layeredness to contemporary novels both in terms of narrative and content. In the analyzed narratives, this is reflected in: the need for deeper literary empathy and tender narration; fusing of narrative perspectives and voices; the feeling of otherness towards both extreme spectral poles; longing for existential harmony or lost integrity; the representation of art as the last solid entity; constantly oscillating between the desire to withdraw and actively deal with the world, and the feeling of loneliness and the desire for solitude; the extension of binaries into modern triads. In the two Slovenian novels, the fluidity of sexual identity also comes to the fore, giving voice to forms of sexuality still unarticulated in Slovenian literature.
I Am Reading the Poems of Kristina Hočevar
Authors: Zupan Sosič Alojzija
Published: October 2024

The article takes into account the defining characteristics of contemporary poetry and in this sense introduces innovative approaches to reading Kristina Hočevar’s poetry collection Na zobeh aluminij, na ustnicah kreda (Aluminium on Teeth, Chalk on Lips): a cogmotive and holistic approach that also considers the interpretive focus and lyrical dominant. -At the same time, it also introduces two ways of selecting poems for interpretation, i.e. a very short poem (“give me marbles”) without placing it in a wider context, and a longer poem (“only these walls are your walls”) within the context of the entire collection, the author’s poetics, and lesbian poetry. While the cogmotive approach connects the emotional and rational areas, the holistic approach assumes the impossibility of finding the only meaningful core of the text. When I consider the interpretive focus and the lyrical dominant within the framework of the latter, I am constantly aware that it is more important to reflect the point of interpretation, which is significantly more intense and thus more successful when one tries to focus on the interpretive center and on the dominant poetic qualities separately, rather than both simultaneously. The intertwining of the interpretive focus and the lyrical dominant, i.e. the juxtaposition of the reception and production aspects, enabled the interpretation to be diverse and elastic. If the interpretative center in Kristina Hočevar’s two poems is non-verbal, in the shorter one an allusion to children’s play and in the longer one the feeling of being outcast and at the same time at home in a safe environment, the lyrical dominant in the shorter poem (“give me marbles”) is the metaphorical equation of eyes and marbles, in the longer the action of symbols such as walls, a black sun, crimson, shackles, iron bars, a dancing body. Both poems prove the quality of the poet’s poetics, recognizable in the dynamism of the images, non-naive and non-pathetic sincerity, the depth of the dialogic view, the ironic and grotesque fluidity of the self and the collective, or the transience of identities, in which lesbian determinacy is important.
Urban Greenspaces and Patterns of Common Mental Disorders in Ibadan City, Nigeria
Authors: Gbadegesin Adeniyi Sunday , Ikwuyatum Godwin , Knight Sarah , Cinderby Steve
Published: October 2024

The restorative roles that greenspaces have on human health are well established in the literature. However, few studies have examined the mental health impact of greenspaces in developing countries and particularly in Sub-Saharan countries where there have been predictions of likely escalated cases of common mental disorders (CMD). This present study examined the location of greenspaces, whether and how residents of Ibadan city, Nigeria connect with the green environments, and the effect of this access on CMD. The concept of human ecology of disease provided the framework for the study. The SRQ-20 was adopted for CMD screening in a cross-sectional survey method of 1200 respondents., The results showed that the availability, visits and time spent at greenspaces were related to lower levels of CMD (mean CMD score was 8.6, R=67% and R2 =56%). There is a higher prevalence of CMD amongst residents with no greenspaces surrounding their house (35.4% compared to 28.4%). There was also a negative relationship between CMD and participating in recreational activities in greenspaces (β = -0.054, p = 0.021). This study advocates for adequate planning and conservation of greenspaces in designated areas of the city and frequent visit to greenspaces. There is a need for government policies in favour of greenery. Residents are also encouraged to maintain greenspaces around the home.
Effects of Industrial Effluents on Catfish Ecosystem In Ilorin Metropolis, Nigeria
Authors: Agaja Toluwalope Mubo , Jibreel Moshoodat Adeola
Published: October 2024

The ecological balance of aquatic ecosystems, particularly those supporting vital species like catfish, is increasingly threatened by industrial effluents. This study assessed the toxicological effects of industrial effluents on the catfish ecosystem in Ilorin metropolis. The objectives were to determine the physico-chemical properties of water from a natural fish pond on industrial land-use; compare the physicochemical properties of the water with the standards of WHO and FEPA; examine the growth indicator of catfish in the study area; and assess the relationship between the physico-chemical properties of the water and the growth of the catfish in the study area. Primary and secondary data were gathered and the sampling involved taking 1% of catfish from three natural ponds on industrial land, each with earthen ponds of 50 by 70 meters with a capacity of up to 5000. Water samples were collected from the river and the natural fish pond over a six-week period, divided into three phases corresponding to different developmental stages of the fish. These water and fish samples were subjected to laboratory analysis. Descriptive and inferential methods used in the study were percentages, graphs, charts, the chi-squared test, and a correlation matrix for data analysis. This study revealed that industrial effluents raised the level of parameters such as iron, copper, lead, and electrical conductivity in the water sampled beyond the recommended levels of WHO and FEPA Standard’s guidelines, with mean values of 7.843, 0.23, 1.01, and 260.667 mg/l, respectively. Chemical parameters such as Fe, Mn, Cu, Co, Pb, and I in the water had no significant effect on fish growth as their p-values (0.472, 0.493, 0.180, 0.672, 0.328, and 0.511, respectively) were higher than the 0.05 level of significance. The physical parameters such as pH (0.918), temperature (0.367), nitrate level (0.292), total solids (0.495), and total soluble solids (0.502) did not show any impact on the growth of catfish. The study concluded that fish growth is affected by the availability of zinc in the fish pond, the increase in electrical conductivity, dissolved oxygen, and total dissolved solids in the water. It is recommended that water quality monitoring be conducted to ensure the good functioning of the aquatic ecosystem for increased fish productivity.
Temperature and Rainfall Trends as Indicators of Climate Change in a Rainforest Region of Nigeria
Authors: Odiana Sylvester , Ochulor ThankGod Gospel
Published: October 2024

This study examined temperature and rainfall trends as indicators of climate change in a rainforest region of Benin City in Nigeria. To achieve this, temperature and rainfall data spanning 32 years (1991 - 2022) were collected from the archives of the Nigerian Meteorological Agency (NIMET) in Benin City for the study. The data collected were analysed using linear regression and the result revealed an increasing trend in annual temperature (R2= 0.439, p <0.000).   The mean temperature over the study period in the study area was 27.7 °C. Rainfall, on the other hand, showed no trends at (R2=0.005, p < 0.697). The mean rainfall over the study period in the study area was 2284.5mm. The pattern of temperature and rainfall observed in this study could be attributed to climate change. As such, we recommend that efforts should be intensified toward mitigating climate change in the study area.
Plantation Forest Management among Local Farmers in Offinso North District of Ghana
Authors: Acheampong Rhoda Dedaa , Danso-Wiredu Esther Yeboah
Published: October 2024

Deforestation has been on the rise from the world’s tropical forest since the late 20th century. Africa has reportedly lost more than 19 million ha of its original forest. The government of Ghana in the 20th century, got alarmed with the accelerating rate of degradation, its effect on the environment, and the failure of centralized forest management system. This led to the introduction of forest decentralization which brought forth local peoples’ participation in the restoration of the lost forest. Plantation forest unlike the Modified Taungya System has not been thoroughly explored in the Ghanaian literature, hence the justification for this study. This study is based on local farmers in the Offinso area in Ghana who are into reforestation and their contribution to increase in forested land cover in the country. The study adopted a mixed method approach to select 135 local farmers for the study. Data collected were analysed using descriptive statistics and thematic discussions. The study revealed that farmers into forest plantation farming benefit from their activities, and that the economic benefit of wood has helped in increasing the forest cover of the area through afforestation.
Factors Influencing Personal Car Ownership Among Households in Benin Metropolis, Nigeria
Authors: Atewe Festus Amasikomwan , Egharevba Osagie Joseph
Published: October 2024

This study was conducted to identify the socioeconomic and demographic factors influencing personal car ownership in the Benin metropolis, Nigeria. Using a cross-sectional research design, a metropolitan-wide survey data from 630 households collected through questionnaire responses were analysed. The study area was first stratified into three zones (inner, intermediate and outer zones) to facilitate adequate data collection. Thereafter, five communities were randomly selected from each zone for questionnaire administration. Binary logistic regression was used to analyse the hypothesis on the influence of each indicator on personal car ownership. The result revealed that gender, household size, average monthly income and distance to place of work were the leading factors influencing car ownership among households in the study area, and thus presented in their respective order the highest Beta values (1.799, 1.346, 1.210, and 1.101). The study thus, offers support by suggesting policy process for either the strengthening or weakening indicator when the respective desire to encourage or discourage car ownership in planning is a priority. Consequently, the formulation of an appropriate policy that will be useful for strengthening or weakening key parameters is germane for predicting vehicle ownership in the study area.
Assessment of the use of remittances as a community development tool in Abia State, Nigeria
Authors: Chukwu Nma-Njoku Alexandra
Published: October 2024

Sustainability in community development is a community development strategy that calls for the involvement of thecommunity people to bring development to their locality using their ideas, resources, creativity, culture, natural beauty andinitiatives. This helps to reduce waste and crime, prevent pollution through promoting efficiency and empowering localresources. Sustainability in community development could be achieved using remittances from international migrants tosupport development activities within the local communities. This study explores the use of remittances as a communitydevelopment strategy in Abia State, Nigeria. The study adopted a multi-staged method of sampling technique, whichincludes cluster, simple random and purposive sampling technique to select 112 study participants from the three senatorialzones that makes up Abia State. In-depth interviews (IDIs) and focused group discussions (FGDs) were the instruments ofdata collections. Findings revealed that study participants were of the view that remittances especially money remittancehas been a major sustainable community development strategy explored in the study area. Further findings shows thatmigrant-friendly legislation, effective mobilization and inclusion in addition to effective communication are ways toenhance remittances as a sustainable community development strategy.
How to cite this article using ASWDNet style
Chukwu N. A. (2024). Assessment of the use of remittances as a community development tool in Abia State, Nigeria. People centred – The Journal of Development Administration (JDA), 9(1), 25-34. https://dx.doi.org/10.4314/jda.v9i1.4
Visit journal website: https://jda.africasocialwork.net
Assessment of knowledge, attitude, and practices (KAP) among rural residents bordering Mairua Reservoir and its implications on fish parasites and water quality in Funtua, Katsina State, Nigeria
Authors: Sadauki M.A. , Bichi A.H. , Umaru J. , Dauda A.B. , Auta T.
Published: October 2024

This study investigated the knowledge attitude and practices, KAPs among rural residents bordering Mairua reservoir and its implications  on fish parasites and water quality. Cross sectional questionnaire studies were carried out among 120 respondents inhabiting at Mairua communities between June and August 2024, using questionnaire. Simple random sampling was used to select study  respondents. The collected data was entered into Microsoft excel and transferred to SPSS version20 for analysis. Descriptive statistics was used to analysed collected data. Of the total 120 survey respondents, (94.2%) of the respondents were males, while (5.8%)  of the respondents were females. while more than half of the respondents were married (60.8). In term of level of education majority of  the respondents having Quranic education only (31.7%) as the highest level education attained. More than half of the roles of the  respondent’s in house hold revealed 64.2% respondents were father’s role in house hold. A greater proportion of the respondents 75  (62.5%) stated that the primary purpose of the Mairua reservoir is Drinking. Regarding types of manure/chemical used in the farmland,  60.0% of the respondents had used fertilizer in their farmland. 74.2% of the respondents known that fish parasites reduce fish growth,  yield, aesthetic value, marketability and palatability. Almost half of the respondents (36.7%) can consume smoked/undercooked fish.  Majority of the respondents 36.7% had buy fish from fish market regularly. 40.0% of the respondents had washed their clothes in/near  the reservoir regularly. Almost half of the respondents (49.2%) had use chemical in their farmland regularly. These discoveries discovered knowledge, attitude and practice of the communal in the region to water quality management and fish parasites was not okay. Consequently, more development of water quality management methods will be vital.
Agricultural raw materials, information and communications technology and service exports on economic growth in twenty Sub-Saharan countries: A panel vector error correction model approach
Authors: Juliet Akobundu Nkem , Adenomon M.O. , Bilkisu Maijama'a , Obin Nweze
Published: October 2024

The economies of Sub-Saharan Africa are experiencing significant growth due to increasing populations, rising incomes, and urbanization. However, these factors also bring challenges to trade stability. This study analyses the impact and causality of agricultural  raw materials, information and communications technology, and service exports on economic growth in twenty selected countries in the  region. The research utilised the Panel Vector Error Correction Model approach and the Canning and Pedroni causality test. The analysis  focused on stationarity, longrun and short-term dynamics, and the impact of export variables on economic growth. The results of panel  unit root and cointegration tests revealed that all variables are non-stationary at level but became stationary after the first differencing,  indicating a long-run relationship. The study conclude and recommend that governments in the region develop and promote efficient  policies and institutional frameworks to facilitate technological transformation, which could drive non-oil exports, fuel economic growth,  and enhance expertise within Sub-Saharan African economies for greater efficiency.
Socioeconomic factors responsible for heart disease among obese-hypertensive adults
Authors: Mustafa Zainol , Bhuyan K.C. , Belal Amina A.
Published: October 2024

For this analysis data were collected from 995 Bangladeshi adults of ages 18 years and above. Data were recorded by some medical staffs  working in diabetic centres, when the respondents were visiting the centres, located in urban and semi-urban areas. There were  50.1% males; 30.2% obese; 5.9% hypertensive adults; and 3.2% were obese and hypertensive. Among obese-hypertensive adults 50.0%  were patients of heart. The overall percentage of patients of heart including obesity and hypertension was 1.6%. The prevalence of these  three diseases were noted in 3.6% elderly people; in 4.0% adults of higher economic condition; in 3.6% smokers, in 2.9% adults involved in  sedentary activity and in 8.5% diabetic patients suffering for 15 years and above. The last three variables had significant impacts on  simultaneous prevalence of three non-communicable diseases. Elderly people and people of higher economic condition had more than  200% risk of prevalence. The prevalence risk was 6.07 times in smoker adults; 5.42 times in adults involved in sedentary activity and 7.81  times among diabetic patients suffering 80 for 15 years and more. Discriminant analysis showed that body mass index, diabetes duration,  smoking habit, sedentary activity, and age were important in discriminating patients from others.
Soil pollution effects on the germination, growth, root growth and biomass of Emilia praetermisa (MilneRedh) Asteraceaewith cow dung enrichment
Authors: Ifediora N.H. , Onyebuchi C.O. , Otenyi E.N.
Published: October 2024

The aim of this study was soil pollution effects on the germination, growth, root growth and biomass of Emilia praetermisa with cow dung  enrichment. Crude oil was varied in 1 %, 3 % and 5 % to the soil while the cow dung levels were constant to amount of soil needed.  By 12 weeks, the plants were harvested. Initial heavy metal properties of soil, cow dung and crude oil were analyzed for heavy metal.  Growth parameters data were collected, was subjected to descriptive statistics to obtain the means and standard deviations. Analysis of  variance analysis was used to compare the difference in the heavy metal properties of soil, cow dung and Crude oil, means of growth  data and laboratory analysis. The result showed that the heavy metal in soil, cow dung and crude oil varied significantly (P<0.05). Higher  levels of crude oil contaminated soil inhibited the growth parameter of the plant generally. Also, the heavy metal levels in the soil and  plant samples was low and mercury, non-existing. Lastly, low levels of heavy metals in the soil and in the plants, tissue indicates the  phytoremediation potentials of E. praetermisa.
Web based application for breast cancer detection using support vector machine
Authors: Dada O.S. , Nathaniel A.N. , Irunokhai E.A. , Nuhu M.A. , Jiji S.A.
Published: October 2024

Due to the life-threatening nature of breast cancer, which predominantly affects women, early detection is critical for improving patient  outcomes. Traditional screening methods, such as mammography, clinical examinations, and biopsies, are widely employed in the  healthcare sector. However, these approaches face challenges, particularly in the misclassification of tumors. In this study, we developed  a web application utilizing a Support Vector Machine (SVM) algorithm to create a predictive model for breast cancer that accurately  distinguishes between benign and malignant tumors. Feature selection was employed to identify the most informative and relevant  variables in the dataset, thereby mitigating the curse of dimensionality and enhancing model performance. To ensure accessibility, the  predictive model was integrated into a web application, allowing medical professionals to use the tool for informed decisionmaking.  Experiments were conducted using the publicly available Wisconsin Diagnostic Breast Cancer (WDBC) dataset, with results demonstrating  a notable improvement in accuracy compared to similar studies.
Development of a web-based car rental management system
Authors: Ogbiti John Temitope , Aaron William
Published: October 2024

This study presents the development and implementation of a comprehensive car rental management system, aimed at streamlining and  enhancing the rental process for users and administrators. The system was built using robust technology tools, including PHP for  server-side scripting, JavaScript for dynamic client-side interactions, and Bootstrap for responsive design. The development environment  consisted of Visual Studio 2019, Microsoft SQL Server Express for database management, and IIS as the web server. The MSUnit  framework was utilized to execute various test cases, covering key functionalities such as user registration, reservation management, role  assignment, and administrative controls. The testing results demonstrated a 100% pass rate across all test cases, confirming the  reliability and robustness of the system. The test traceability matrix linked specific requirements to corresponding test cases, providing clear documentation of the verification process. This traceability ensured comprehensive coverage of all system functionalities and  facilitated easy identification of any potential issues. A user guide was developed to assist end-users in navigating the system, detailing  all processes and functionalities in an easy-tounderstand format. This guide aimed to enhance user experience and ensure users could  efficiently accomplish their goals using the system. In conclusion, this study showcases the successful development, implementation, and  testing of a car rental management system, highlighting the effective use of modern technologies and methodologies to overcome  implementation challenges and ensure a reliable and user-friendly application. The detailed documentation of the process provides  valuable insights and serves as a reference for future projects in similar domains.
Advancing mathematics education in Africa: Challenges, strategies, and prospects
Authors: Agbata B.C. , Obeng-Denteh W , Abraham S. , Asante- Mensa F. , Kwabi P.A. , Okpako S.O. , Amoah-Mensah J. , Arivi S.S.
Published: October 2024

This study deals with an investigation into the multifaceted landscape of mathematics education in Africa, exploring its historical  development, current challenges, and promising prospects. By examining the nature of mathematics and its significance in society, the  study identifies key challenges hindering effective mathematics education across the continent. These challenges include inadequate  resources, limited access to quality education, cultural barriers, and insufficient teacher training. Through an extensive review of the  literature and analysis of existing initiatives, the study presents a range of strategies to enhance mathematics education in Africa. These  strategies encompass leveraging modern technologies, fostering collaborative learning environments, promoting culturally relevant pedagogies, and investing in teacher professional development. Furthermore, the study underscores the vital importance of mathematics education in Africa, emphasizing its role in fostering critical thinking skills, problem-solving abilities, and socio-economic development. It highlights the necessity of equipping African learners with mathematical competencies to address contemporary challenges and participate in the global knowledge economy. Drawing upon these insights, the study offers recommendations for policymakers, educators, and stakeholders to strengthen mathematics education in Africa. These recommendations include increasing  investment in educational infrastructure, expanding access to digital resources, promoting interdisciplinary approaches, and fostering  partnerships between academia, industry, and government. This study serves as a comprehensive guide for advancing mathematics  education in Africa, offering actionable insights to address challenges, harness opportunities, and cultivate a thriving mathematical  culture across the continent. By prioritizing mathematics education, Africa can unlock its full potential and contribute significantly to  global scientific and technological advancement.