Search Results (49)

The increasing number of online communities has led to the significant growth in digital data in multiple languages on the Internet. Consequently, language processing and information retrieval have become important fields in the era of the Internet. Stemming, a crucial preprocessing tool in natural language processing and information retrieval, has been extensively explored for high-resource languages like English, German, and French. However, more extensive studies regarding stemming in the context of the Hausa language, an international language that is widely spoken in West Africa and one of the fastest-growing languages globally, are required. This paper presents a rule-based model for stemming Hausa words. The proposed model relies on a set of rules derived from the analysis of Hausa word morphology and the rules for extracting stem forms. The rules consider the syntactic constraints, e.g., affixation rules, and performs a morphological analysis of the properties of the Hausa language, such as word formation and distribution. The proposed model’s performance is evaluated against existing models using standard evaluation metrics. The evaluation method employed Sirstat’s approach, and a language expert assessed the system’s results. The model is evaluated using the manual annotation of a set of 5077 total words used in the algorithm, including 2630 unique words and 3766 correctly stemmed Hausa words. The model achieves an overall accuracy of 98.66%, demonstrating its suitability for use in applications such as natural language processing and information retrieval. Full article

In this study, we present a groundbreaking approach to aspect-based sentiment analysis (ABSA) using transformer-based models. ABSA is essential for understanding the intricate nuances of sentiment expressed in text, particularly across diverse linguistic and cultural contexts. Focusing on movie reviews in Hausa, a language under-represented in sentiment analysis research, we propose HauBERT, a bidirectional transformer-based approach tailored for aspect and polarity classification, by fine-tuning a pre-trained mBERT model. Our work addresses the scarcity of resources for sentiment analysis in under-represented languages by creating a comprehensive Hausa ABSA dataset. Leveraging this dataset, we preprocess the text using state-of-the-art techniques for feature extraction, enhancing the model’s ability to capture nuanced aspects of sentiment. Furthermore, we manually annotate aspect-level feature ontology words and sentiment polarity assignments within the reviewed text, enriching the dataset with valuable semantic information. Our proposed transformer-based model utilizes self-attention mechanisms to capture long-range dependencies and contextual information, enabling it to effectively analyze sentiment in Hausa movie reviews. The proposed model achieves significant accuracy in aspect term extraction and sentiment polarity classification, with scores of 99% and 92% respectively, outperforming traditional machine models. This demonstrates the transformer’s ability to capture complex linguistic patterns and nuances of sentiment. Our study advances ABSA research and contributes to a more inclusive sentiment analysis landscape by providing resources and models tailored for under-represented languages. Full article

Diphtheria is a severely infectious and deadly bacterial disease with Corynebacterium diphtheriae as the causative agent. Since the COVID-19 pandemic, contagious diseases such as diphtheria have re-emerged due to disruptions in routine childhood immunization programs worldwide. Nigeria is witnessing a significant increase in diphtheria outbreaks likely due to an inadequate health care system and insufficient public enlightenment campaign. This paper presents a mathematical epidemic diphtheria model in Nigeria, which includes a public enlightenment campaign to assess its positive impact on the prevalence of the disease. The mathematical analysis of the model reveals two equilibrium points: the diphtheria infection-free equilibrium and the endemic equilibrium. These equilibrium points are shown to be stable globally asymptotically if ${\mathcal{R}}_c<1$ and ${\mathcal{R}}_c>1$, respectively. The model was fit using the confirmed diphtheria cases data of Kano State from January to December 2023. Sensitivity analysis indicates that the transmission rate and recovery rate of asymptomatic peopleare crucial parameters to be considered in developing effective strategies for diphtheria control and prevention. This analysis also reveals that the implementation of a high-level public enlightenment campaign and its high efficacy effectively reduce the prevalence of diphtheria. Finally, numerical simulations show that combining the public enlightenment campaign and isolating infected individuals is the best strategy to contain the spread of diphtheria. Full article

This study investigated agricultural radio programmes in specific indigenous languages (Hausa and Tiv) and their role in supporting agricultural development in North-Central Nigeria. Data were collected through interviews with the programme producers. Qualitative data were analysed using Systematic content analysis (SCA). The results showed the programme format, the topics treated per season, the availability of discussants, the feedback mechanism of previous programmes, and the programme’s influence on the audience. The study concluded that radio programmes in indigenous languages play a crucial role in agricultural development. However, the study also highlighted the urgent need for more support for these programmes, particularly in partnerships with agricultural sector organisations for technical and financial support. The study drives a crucial political debate on the role of media in rural development, the promotion of indigenous languages, support for agricultural policy, and political influence, including creating more inclusive and community-focused policies and increased engagement between government, media organisations, and agricultural stakeholders. Full article

A deterministic model for controlling the neglected tropical filariasis disease known as elephantiasis, caused by a filarial worm, is developed. The model incorporates drug resistance in human and insecticide-resistant vector populations. An investigation into whether the model is of biological importance reveals that it is positively invariant, mathematically well posed, and tractable for epidemiological studies. The filariasis-free and filariasis-present equilibrium points were obtained. The next-generation matrix technique is used to derive the basic reproduction number $R_0$, which is then used to determine the local stability analysis of the model. It is established that the system is locally asymptotically stable when $R_0<1$. The technique by Castillo-Chavez and a Lyapunov function were employed to prove the global stability of the model’s fixed points. The results of this analysis of filariasis-free equilibrium show that the system is globally asymptotically stable when $R_0<1$ and unstable when $R_0>1$. Similarly, the filariasis-present equilibrium point is proved to be globally asymptotically stable when $R_0>1$ and unstable otherwise. This indicates that the fight against the spread of the disease is achievable. It is observed that increasing human-infected mosquito contacts or mosquito-infected human contacts raises the value of $R_0$, whereas decreasing the progression of micro-filaria into infective larva and killing more mosquitoes will decrease the $R_0$ value according to the sensitivity analysis of the model. The variable precision arithmetic technique executed in MATLAB R2014a was used to determine the elasticity indices of the parameters of $R_0$, which showed that the value of $R_0=0.94639$. Further investigations revealed that ${\omega }_2$ has a significant influence on the reproduction number, suggesting that treatment of acute infections is crucial in the control of the disease. Pontryagin’s Maximum Principle (PMP) is used for optimal control analysis. The numerical result revealed that strategy D is the most effective based on the infection averted ratio (IAR) value. Full article

This article presents an introductory historical, sociolinguistic, and ethnographic study of “Wazobia gospel music”, a twenty-first-century Nigerian congregational musical genre. The term ‘Wazobia’ signifies a fusion of the three regionally recognized local languages in Nigeria: Wa (Yorùbá), Zo (Hausa), and Bia (Igbo)—words that mean ‘come’ in the respective languages. In the Nigerian context, the Wazobia concept could also symbolize the inclusion of more than one ethnicity or language. By dissecting three multilingual Nigerian congregational songs, I unveil the diverse perceptions of Wazobia gospel music and the associations of the musical genre in line with the influencing agencies, text, and performance practices. Furthermore, I provide a detailed description and analysis of the textual and sonic contents of Wazobia gospel music, emphasizing its roles, meanings, and functions in the Lagos congregations context. I argue that Wazobia gospel music—multilingual singing in Nigerian churches—embodies multilayered roles in negotiating identity and creating hospitality. The complexity of studying congregational singing in cosmopolitan cities (like Lagos, Nigeria) due to multiple ethnolinguistic and musical expressions within local and transnational links is also addressed. To tackle this complexity, this article adopts an interdisciplinary approach, combining historical research, oral history, and hybrid ethnography. This approach ensures a thorough and in-depth understanding of Wazobia gospel music, a topic of significant importance in the study of Nigerian music, linguistics, and cultural studies. By employing frameworks of musical localization and signification, I incorporate the results of my ethnographic studies of three Protestant churches in Lagos, Nigeria, to illustrate Wazobia gospel music’s continued importance. The article conceptualizes multilingual singing and offers fresh perspectives on studying Nigerian Christian congregational music in the twenty-first century. Full article

Substantial evidence globally confirms the benefits of physical activity (PA) interventions for the physical and mental health of overweight and obese children and adolescents. However, current research has yet to determine which behavior change techniques (BCTs) are most effective in PA interventions for this population. This systematic review aims to evaluate the application of BCTs in PA interventions for overweight and obese children and adolescents and to identify the most effective BCTs using the promise ratio. Five electronic databases (PubMed, Embase, Cochrane Central, Web of Science, and PsycINFO) were searched up to 31 May 2024, to identify intervention studies meeting the eligibility criteria for promoting PA in the target population. Thirteen studies were included (nine randomized controlled trials and four quasi-experimental studies). The quality of the included studies was assessed using a revised version of the Cochrane Risk of Bias tool and the Risk of Bias in Non-randomized Studies tool. Among the 24 BCTs implemented, the most frequently applied were goal setting (behavior), instruction on how to perform the behavior, feedback on behavior, and self-monitoring of behavior. Action planning, social support, and material incentives showed the most significant potential to promote PA. These findings provide valuable insights for designing future PA interventions for this group, with the potential to improve health outcomes and enhance PA participation among obese children and adolescents. Full article

This research paper attempts to describe the transmission dynamic of zoonotic visceral leishmaniasis with the aid of a mathematical model by considering the asymptomatic stages in humans and animals. The disease is endemic in several countries. Data used in the research are obtained from the literature while some are assumed based on the disease dynamic. The consideration of both asymptomatic and the symptomatic infected individuals is incorporated in both humans and animals (reservoir), as well as lines of treatment for the human population. It is found that the model has two fixed points; the VL-free fixed point and the VL-endemic fixed point. Stability analysis of the fixed points shows that the VL-free fixed point is globally asymptotically stable whenever the basic reproduction number is less than one and the VL-endemic fixed point is globally asymptotically stable whenever the basic reproduction number is greater than one. Sensitivity analysis is conducted for the parameters in the basic reproduction number, and the profile of each state variable is also depicted using the data obtained from the literature and those assumed. The transmission probability from infected sandflies to animals, transmission probability from infected animals to sandflies, per capita biting rate of sandflies of animals, and rate of transfer from symptomatic infected animals to the recovered class are among the most sensitive parameters that have the greatest influence on the basic reproduction number. Moreover, the value of the basic reproduction number is obtained to be 0.98951, which may require further study, as the margin between potential disease control and outbreak is thin. Full article

Currently, the viscoelastic properties of conventional asphalt cement need to be improved to meet the increasing demands caused by larger traffic loads, increased stress, and changing environmental conditions. Thus, using modifiers is suggested. Furthermore, the Sustainable Development Goals (SDGs) promote using waste materials and new technologies in asphalt pavement technology. The present study aims to fill this gap by investigating the use of pulverized oil palm industry clinker (POPIC) as an asphalt–cement modifier to improve the fatigue life of bituminous concrete using an innovative prediction approach. Thus, this study proposes an approach that integrates statistically based machine learning approaches and investigates the effects of applied stress and temperature on the fatigue life of POPIC-modified bituminous concrete. POPIC-modified bituminous concrete (POPIC-MBC) is produced from a standard Marshall mix. The interactions between POPIC concentration, stress, and temperature were optimized using response surface methodology (RSM), resulting in 7.5% POPIC, 11.7 °C, and 0.2 MPa as the optimum parameters for fatigue life. To improve the prediction accuracy and robustness of the results, RSM and ANN models were used and analyzed using MATLAB and JMP Pro, respectively. The performance of the developed model was assessed using the coefficient of determination (R2), root mean square error (RMSE), and mean relative error (MRE). The study found that using RSM, MATLAB, and JMP Pro resulted in a comprehensive analysis. MATLAB achieved an R² value of 0.9844, RMSE of 3.094, and MRE of 312.427, and JMP Pro achieved an R² value of 0.998, RMSE of 1.245, and MRE of 126.243, demonstrating higher prediction accuracy and superior performance than RSM, which had an R² value of 0.979, RMSE of 3.757, and MRE of 357.846. Further validation with parity, Taylor, and violin plots demonstrates that both models have good prediction accuracy, with the JMP Pro ANN model outperforming in terms of accuracy and alignment. This demonstrates the machine learning approach’s efficiency in analyzing the fatigue life of POPIC-MBC, revealing it to be a useful tool for future research and practical applications. Furthermore, the study reveals that the innovative approach adopted and POPIC modifier, obtained from biomass waste, meets zero-waste and circular bioeconomy goals, contributing to the UN’s SDGs 9, 11, 12, and 13. Full article

Globally, effective and efficient healthcare is critical to the wellbeing and standard of living of any society. Unfortunately, several distant communities far from the national grid do not have access to reliable power supply, owing to economic, environmental, and technical challenges. Furthermore, unreliable, unavailable, and uneconomical power supply to these communities contributes significantly to the delivery of substandard or absence of qualitative healthcare services, resulting in higher mortality rates and associated difficulty in attracting qualified healthcare workers to the affected communities. Given these circumstances, this paper aims to conduct a comprehensive review of the status of renewable energy available to rural healthcare clinics around the globe, emphasizing its potential, analysis, procedures, modeling techniques, and case studies. In this light, several renewable energy modeling techniques were reviewed to examine the optimum power supply to the referenced healthcare centers in remote communities. To this end, analytical techniques and standard indices for reliable power supply to the isolated healthcare centers are suggested. Specifically, different battery storage systems that are suitable for rural healthcare systems are examined, and the most economical and realistic procedure for the maintenance of microgrid power systems for sustainable healthcare delivery is defined. Finally, this paper will serve as a valuable resource for policymakers, researchers, and experts in rural power supply to remote healthcare centers globally. Full article

Diphtheria, a potentially life-threatening infectious disease, is primarily caused by the bacterium Corynebacterium diphtheriae. This pathogen induces a range of severe symptoms, including respiratory distress, cardiac arrhythmias, and, in extreme cases, fatal outcomes. This paper aim to unravel the transmission dynamics of diphtheria infection within the Caputo fractional derivatives framework, establishing the solutions’ existence and uniqueness. Through forward normalized sensitivity analysis, we scrutinize the key parameters influencing the basic reproduction number, a pivotal metric in understanding and controlling the spread of the disease. The results indicate that reducing the values of the interaction rate, transmission rate, and birth rate plays a key role in curtailing diphtheria transmission. Furthermore, employing an effective numerical tool, we present graphical representations that delineate the influence of various crucial model parameters on infection dynamics. Full article

Background: Women and girls account for more than 50% of the global HIV population. In Nigeria, the proportion of women living with HIV on long-term antiretroviral therapy (ART) has been on the rise. Despite this, little research exists on their experiences regarding antiretroviral therapy use, especially for women living with HIV (WLHIV) in Plateau State, Nigeria. This study investigates the barriers and facilitators influencing antiretroviral therapy use among women living with HIV. Methods: This study employed a qualitative research design, using focus groups, and included women (female sex workers, pregnant and non-pregnant women living with HIV) and the male partners of serodiscordant couples. Eligibility criteria were being 18 years of age or older, on antiretroviral therapy for more than one year/on pre-exposure prophylaxis (PrEP) for more than one month, and speaking English, Hausa, or both. Data coding utilized both inductive and deductive approaches, and standard content analysis was applied to develop emerging themes. Results: Of the 106 participants, 88 were women living with HIV, and 18 were men in serodiscordant couples. The first facilitator shared by the participants was feeling healthier and stronger due to the antiretroviral therapy, which was also expressed by the male participants on PrEP as feeling good while taking the drug. Additional facilitators shared by the participants included weight gain and having a more positive outlook on life. Participants also disproportionately described barriers to using antiretroviral therapy, including experiences with emotional challenges, physical discomfort, and side effects of ART. Such barriers were linked to feelings of past regret, frustration, and disappointment. Conclusion: This study underscores the significance of maintaining a positive perspective on ART use, demonstrated by the connection between a positive outlook and weight gain, and highlights the hurdles that Plateau State’s women living with HIV face in adhering to antiretroviral therapy. Policymakers and healthcare providers can utilize these findings to formulate targeted strategies aimed at minimizing identified barriers and enhancing antiretroviral therapy utilization among this population via peer- support groups, economic empowerment, and psychosocial support. Full article

This paper investigates the linguistic interdependence of Grade 3 children studying in government primary schools in northern Nigeria who are learning to read in Hausa (L1) and English (L2) simultaneously. There are few studies in the African context that consider linguistic interdependence and the bidirectional influences of literacy skills in multilingual contexts. A total of 2328 Grade 3 children were tested on their Hausa and English letter sound knowledge (phonemes) and reading decoding skills (word) after participating in a two-year English structured reading intervention programme as part of their school day. In Grade 4, these children will become English immersion learners, with English becoming the medium of instruction. Carrying out bivariate correlations, we find a large and strongly positively significant correlation between L1 and L2 test scores. Concerning bidirectionality, a feedback path model illustrates that the L1 word score predicts the L2 word score and vice versa. Multi-level modelling is then used to consider the variation in test scores. Almost two thirds of the variation in the word score is attributable to the pupil level and one third to the school level. The Hausa word score is significantly predicted through Hausa sound and English word score. English word score is significantly predicted through Hausa word and English sound score. The findings have implications for language policy and classroom instruction, showing the importance of cross-language transfer between reading skills. The overall results support bidirectionality and linguistic interdependence. Full article

Background: Adolescent girls are nutritionally vulnerable due to their rapid growth and increased nutrient requirements. Nigeria has the sixth-largest population in the world. This study qualitatively explored the food preferences, perceptions of nutritive value and factors underlying food consumption of adolescent girls in rural communities in Nigeria. Methods: The data were collected via the free listing of foods and focus group sessions conducted in the Hausa language with 48 unmarried adolescent girls. The discussions were audio-recorded, transcribed, translated into English, and analyzed using a deductive thematic framework. Results: The mean age of the respondents was 13.0 ± 2.7, and almost half (48%) had a primary school education. A total of 19 and 23 foods were identified as preferred, and perceived as nourishing, respectively. The top 10 foods present on both free lists overlapped considerably in terms of cognitive salience. The focus group themes included nutrition knowledge, food preferences, autonomy, household food allocation, courtship practices, and agricultural landscapes and economic access. The participants had minimal knowledge of nutrients and food groups, and their preferred foods were limited in diversity. The key factors in food preferences were desirable health effects, sensory attributes, and the contribution of foods to a desirable body image for marriage. Household food choices depended on parents. Thus, a desire for independence was an incentive for early marriage, mostly at 13 to 17 years. Gender inequities in household food distribution (quantity) and animal protein intake were reported. The participants believed that boys need more food for strength to impregnate girls. As part of a courtship practice, the girls received gifts of animal source foods from potential suitors. The food options were limited by financial challenges and low agricultural diversity. Conclusion: To interrupt the cycle of inadequate food consumption and undernutrition in these adolescent girls, policy makers need to promote nutrition education and address the underlying determinants of inequitable access to nutritious foods. Full article

The best possible use of natural resources and the large amounts of trash produced by industrial and human activity is necessary for sustainable development. Due to the threat of global climate change and other environmental challenges, waste management systems are changing, leading to more instances of water resource management. The waste generated must be controlled from a sustainability point of view. Typically, the conventional disposal of Agricultural Wastewater (AW) and biomass can be achieved by recycling, reusing, and converting them into a variety of green products. To improve the AW quality for the purposes of environmental sustainability, Sustainable Development Goals (SDGs) 6 and 14, dealing with clean water, sanitation, and life below water, are very important goals. Therefore, the present investigation evaluates the effectiveness of a Bench-scale Activated Sludge Reactor (BASR) system for AW treatment. The BASR was designed to focus on getting the maximum possible utilization out of a biosorbent derived from oil palm waste activated hydrochar (OPAH). This is in accordance with SDG 9, which targets inorganic and organic waste utilization for added value. An experiment was developed using the Response Surface Methodology (RSM). A Hydraulic Retention Time (HRT) of 1–3 days was used in the bioreactor’s setup and operation, and Mixed Liquor Suspended Solids (MLSS) concentrations of 4000–6000 mg/L were used. BASR was fed with AW with initial mean concentrations of 4486 ± 5.63 mg/L and 6649 ± 3.48 for the five-day Biochemical Oxygen Demand (BOD₅) and Chemical Oxygen Demand (COD) experiments, respectively. The results obtained showed that maximum reductions of 84.66% and 72.07% were recorded for BOD₅ and COD, respectively. Through RSM optimization, the greatest reductions in the amounts of organic materials were achieved with a 2-day HRT and an MLSS dosage of 5000 mg/L. Substrate elimination thresholds were assessed using the first-order, the Grau second-order, and the modified Stover–Kincannon models. The reported observations were found to be perfectly fit by the modified Stover–Kincannon model, with high R² values of 0.9908 and 0.9931 for BOD₅ and COD, respectively. As a result, the model may be used to design the BASR system and forecast how the reactor would behave. The findings from this study suggest that the developed OPAH has promising potential to be applied as eco-friendly material for the removal of BOD₅ and COD from AW. Consequently, the study findings additionally possess the ability to address SDGs 6, 9, and 14, in order to fulfil the United Nations (UN) goals through 2030. Full article