Theresearcherinvestigatedonthe"InfluenceofArtificiallntelligencetoolson theacademicperformance of UndergraduatesinuniversityofBenin"Itaimed atfindingouttheextent undergraduatesbeenexposedtoArtificial,The positiveroles AltoolplayinenhancingtheacademicperformanceofUNIBEN studentandtowhatextent Artificialintellttyyourligencetoolshavenegatively affectedundergraduateofuniversityofbenin.Theresearcheradoptedthe Technologicalacceptancemodel(TAM).Thefindingsofthestudyrevealthat Artificiallntelligenceaffectsstudentsthinkingcapacitypositivelyand negatively.Findingsalsorevealthatstudentswhouseartificialintelligence performverywellitheiracademics.Findingsalsorevealthatstudentswill ratherallowartificialintelligencetothinkandmakethingseasierforthem ratherthanthanthinkforthemselves.Theresearcheralsoconcludedthat educationalinstitutions shouldenlightenStudentsbygivingthemproper orientationonhowtheycanuseAImoreproductively,sothattheproblemof weaponisingthetoolforcheatingandotherincessantactivitieswillbe addressed.

Background/Purpose of the study: Football-related injuries remain prevalent among professional players, particularly in the lower limbs, where inappropriate footwear and lack of orthotic use contribute significantly to performance decline and increased injury risk. This study investigated the influence of footwear and orthotics usage on sports engagement among male professional footballers in Benin City, Edo State, Nigeria. It addressed the gap in empirical data regarding equipment choices and their biomechanical implications for injury prevention and sustained performance in low-resource football settings. Methods: A cross-sectional analytic design was adopted, involving 91 male professional footballers from clubs registered with the Nigerian Professional Football League and National Nationwide League. Data were collected using standardized instruments, including the Footwear Assessment Tool, Orthotic Satisfaction Survey, and the Sport Engagement Scale. Descriptive statistics summarized participant characteristics, while chi-square was used to determine associations between footwear and orthotic usage, players’ demographics, and sports engagement, with significance set at p < 0.05. Results: Findings revealed that most participants (63%) used firm-ground football boots designed for natural grass surfaces, with 68% reporting limited access to high-quality footwear due to cost and availability constraints. Among 91 male footballers, 59.3% wore shoes with 0–2.5 cm heels and 64.8% semi-curved lasts. Good shoe fit was reported by 67%, and 30.8% used orthoses, 80% of which reduced pain. Significant associations (p < 0.05) existed between shoe age, upper/outsole materials, and training persistence; lateral midsole hardness affected enthusiasm and immersion. Conclusion: The study concluded that appropriate footwear and orthotic usage positively influenced performance, comfort, and injury prevention among male professional footballers in Benin City. It recommended increased awareness, access to affordable orthotic devices, and inclusion of podiatric assessments in sports medicine programs to enhance player safety and career longevity in Nigeria’s professional football landscape.

This paper examine the level of application of information and communication technology for academic activities by the undergraduate of the university of Benin. Survey method was adopted to carefully collect data from 402 respondents in the University of Benin through three stages using the simple random, stratified and simple sampling procedure. The study anchored on the technological determinism and diffusion of innovation theories. The rationale behind the study is to find out whether students have access to ICT tools and the impact it have on students, ascertaining the most commonly use ICT gadgets and the challenges encountered in utilising such tools and to determine the usage expertises. Findings show that undergraduate students of UNIBEN have access to ICTs gadgets especially smart phones which remains the most commonly accessible ICTs, however data subscription, and poor Internet connection remain the highest hindrances to the operation of ICT as it was discovered that many could not access or possess the necessary ICT of their choices such as laptops due to financial hindrances and this have a negative effect on the academic performance of undergraduate students of UNIBEN academically and socially. Findings also reveal that Internet remains the most visited students zoom when preparing for exams whereas ARTIFICIAL INTELLIGENCE (AI) also gained momentum through the Internet as few or average percentage still leverage on textbooks and handouts materials. However, it was discovered that the university lacks proper infrastructure specifically loaded with ICTs gadget. Those that answers the availability of ICTs in their department express clear responses of it ineffectiveness. Findings also show that students, though have good operational intelligence, expertise of ICTs tools, yet, lacks good and balanced managerial intelligence as students spent much time on social media, gratifying self for pleasure. This affects the academic performance in no little measures. To this end, the study recommend that institutions should pay more attention to the development of ICT and flow with ICT trends. Also, free WiFi should be made available to aid Internet connectivity and more ICTs infrastructure should be considered with urgent response and attention. In conclusion, ICT user must take precautions measure to guide against addition to social media and the internet as this will have negative influence in their academics.

The study examined From the data collected and analyzed from the field, the study concludes amongst others that, the study discovered that there exists a relationship between relationship between Local government administration and economic development in Egor local government area. Also, it was revealed that Relationship between local government administration and economic development programmes and policies in Egor local government area. The study also discovered that there exists a relationship between Local government administration challenges and economic development in Egor local government area. The findings of the study have provided vital information about the the effect of local government administration in economic development taking Egor local government area as a focus. It is based on the findings of this study that the following recommendations were made: The local government administration in Ndokwa local government should engage deliberately in plans and programs targeted at economic development and also harness the natural resources available. The local administration should engage in rigorous staff training and development aimed at equipping its staff with the necessary training needed for them to be more productive and achieve economic development.

The overuse of antibiotics in poultry production has heightened resistance concerns, prompting the search for eco-friendly and plant-based antimicrobial alternatives. Both Chromolaena odorata and Vernonia amygdalina are rich in bioactive phytochemicals, including alkaloids, flavonoids, tannins, terpenoids, and saponins, known to exhibit strong antibacterial and antioxidant properties. Eight (8) poultry droppings samples were aseptically collected from four poultry farms in Ekpoma, Edo State, Nigeria, using sterile universal bottles. Standard microbiological procedures were employed for the isolation and identification of enteric bacteria, including serial dilution, culturing on MacConkey agar, and biochemical characterization based on Standard microbiological techniques. Fresh leaves of C. odorata and V. amygdalina were collected, washed, blended, and filtered to obtain aqueous crude extracts. Antibacterial activity was assessed using the agar well diffusion method, while the Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) were determined by broth dilution and sub-culturing methods respectively. Five bacterial isolates—Escherichia coli, Bacillus sp., Proteus sp., Pseudomonas aeruginosa, and Staphylococcus aureus—were identified from the poultry droppings. Both extracts showed varying degrees of antibacterial activity against all isolates, with V. amygdalina producing larger zones of inhibition than C. odorata. The MIC and MBC results confirmed that higher extract concentrations corresponded with greater bacterial inhibition and killing effects, indicating concentration-dependent antibacterial efficacy. The findings demonstrate that Chromolaena odorata and Vernonia amygdalina possess significant antibacterial activity against enteric bacteria isolated from poultry droppings, suggesting their potential as natural, plant-based alternatives to synthetic antibiotics for controlling bacterial infections in poultry and mitigating antimicrobial resistance

Antibiotic resistance is one of the global health concern, as commensal bacteria such as Escherichia coli could serves as an important reservoirs of the spread of resistance genes. This study evaluated the relationship between Body Mass Index (BMI) and antibiotic resistance of commensal Escherichia coli isolated from the stool samples of apparently healthy students at the University of Benin (UNIBEN). A total of 70 stool samples were collected and processed using standard microbiological methods. The isolates were identified by biochemical tests, and antibiotic susceptibility testing was performed using the Kirby– Bauer disc diffusion method in line with CLSI guidelines. The Extended Spectrum β- Lactamase (ESBL) production was screened phenotypically. The overall prevalence of Escherichia coli detected across all BMI categories was 85.7%. The ESBL-producing Escherichia coli accounted for 16.7% of isolates, with a higher proportion among underweight participants (26.1%) compared to those of normal weight (11.8%), though this difference was not statistically significant (p = 0.2984). Antibiotic susceptibility testing revealed that Ofloxacin was the most effective antibiotic, while Cefotaxime showed the highest resistance rates. Statistical analysis demonstrated no significant association between BMI and antibiotic resistance patterns (p > 0.05), although a borderline association was observed with Cefotaxime (p = 0.0523). The findings indicate that while BMI may not be a major determinant of Escherichia coli resistance carriage, healthy students can harbor resistant and ESBL-producing strains that pose a potential public health risk. Regular surveillance and strict antibiotic stewardship are therefore recommended.

This study examined lexical sense relations in Nigerian Pidgin. The study identified and classified the lexical sense relations in Nigerian Pidgin, including synonymy, antonymy, hyponymy, and polysemy. It also examined the linguistic sources contributing to these sense relations. It analyzed the socio-cultural factors influencing the development and usage of lexical sense relations. Lastly, it explored variations in lexical sense relations across different contexts of Nigerian Pidgin use. The motivation behind this study stems from the growing recognition of Nigerian Pidgin as a major tool of communication in Nigeria and across West Africa, juxtaposed with its persistent marginalization in formal linguistic research. This study employed both primary and secondary methods of data collection. Primary data were gathered through interviews and casual conversations with 10 Nigerian Pidgin speakers from different regions and backgrounds, while secondary data were sourced from newspapers, songs, comedy skits, and online content in Nigerian Pidgin. The theoretical framework used for the research was structural semantics by Trier (1931). The findings revealed that Nigerian Pidgin is rich in lexical sense relations such as synonymy, antonymy, hyponymy, and polysemy. These word relationships help speakers express different meanings in creative and flexible ways. The language draws from English, local Nigerian languages, slang, and sound-based expressions to build its unique vocabulary. Social and cultural factors like class, youth lifestyle, and media also shape how words are formed and used. Meanings often depend on context, region, and the speaker’s background, making Pidgin highly adaptable. This means one word can have many meanings based on how and where it is used.The researcher recommend further study on this research work and other lexical sense relations in Nigerian Pidgin not touched in this research work be carried out by scholars, linguists and any other person interested in the sense relations of Nigerian Pidgin.

Background / Purpose of the Study Caring for a child with Cerebral Palsy (CP) imposes substantial emotional and physical strain on caregivers, often leading to mental health issues like chronic stress, anxiety, and depression. In resource-limited settings such as the South-South region of Nigeria, these vulnerabilities are exacerbated by inadequate social support and financial constraints. This descriptive cross- sectional study investigated the specific factors influencing the mental well-being of caregivers of children with CP receiving care at the University of Benin Teaching Hospital (UBTH), with a focus on assessing mental health status, caregiving burden, and coping mechanisms. Methods A descriptive cross-sectional design was employed, involving a purposive non-probability sample of 30 caregivers of children with CP at the UBTH Physiotherapy pediatric clinic. Data was collected using a structured questionnaire that included the Zarit Burden Interview (ZBI), the Depression, Anxiety, and Stress Scale (DASS-42), and the Social Support Questionnaire for Caregivers of Children with Cerebral Palsy (SSQ-CP). Data analysis involved descriptive statistics, Pearson’s correlation coefficient, and Multiple Regression Analysis to test the relationship between caregiving factors and mental health. Result A total of 30 caregivers participated in the study, of whom 22 were women and mothers, and the sample showed a clear skew toward lower income groups. Findings revealed a moderate to strong positive correlation between caregiving burden measured by the Zarit Burden Interview (ZBI) and all indicators of psychological distress—depression, anxiety, and stress—with the overall relationship between ZBI and Mental Health Total being r = 0.712, p = 0.000, indicating a statistically significant association. Perceived social support measured by the Social Support Questionnaire (SSQ) demonstrated a significant negative correlation with mental health symptoms (r = −0.456, p = 0.011), suggesting that higher support functions as a protective or mitigating factor against psychological distress. Furthermore, multiple regression analysis confirmed that caregiving-related variables collectively and significantly predicted variations in mental health outcomes (F = 5.605, p = 0.001; Adjusted R² = 0.588). However, the severity of the child’s condition, represented by mobility status, did not show a statistically significant effect on caregivers’ mental health in this sample (F = 0.475, p = 0.627). Conclusion The study concluded that caregiving burden and the availability of emotional/social support are significant factors influencing caregiver mental health. Interventions should prioritize reducing the caregiving burden, enhancing formal and informal support systems, and addressing socioeconomic barriers to improve the overall well-being of these vulnerable caregivers in lowresource settings.

There are several uses for real-time image and audio transmission through a remote-controlled agent in telepresence, remote monitoring, surveillance, search and rescue operation, healthcare and medical applications, industrial inspection and maintenance, and education alongside research. Hence, the aim of this work is to develop a real time image and audio transmission using a remotely controlled mechatronic agent. This study describes a system that combines computer vision, audio processing, and wireless communication to provide real-time multimedia streaming via remotely operated agent. A mobile robotic platform with a camera embedded with a microphone feature that makes up the suggested system, which sends live audio and video data to a distant control center via a wireless network. In order to maximize bandwidth utilization and guarantee low latency and high-quality transmission, sophisticated compression algorithms are used. To improve the clarity of the received data, the system also includes image stabilization and noise reduction. The effectiveness of several communication technologies, including Wi-Fi and 5G, in preserving a steady connection in changing settings is assessed. The recommended system consist of an ES-Custom RC transmitter and receiver for remote control, a lithium battery as the power source, a Standalone x360 mini camera with motion sensor and flash features for real-time streaming, a TP4056 charger module for battery management alongside a mobile platform being driven by two electric motors where one motor is controlling the front wheel responsible for the forward motion of the prototype and the other electric motor that is responsible for the rotational motion of the aforementioned system, and a servo motor that is responsible for the general motion (which can either be forward, backward, or rotational motion) of the camera system. The TP4056 charger module is connected v to an AC supply power source which has a BMS (Battery Management System) in place to prevent against overcharge of the system and also over-discharge of the system when it is in use. The power being supplied by the AC source is converted to a DC power source via the TP4056 charger module which charges the two Lithium battery and stores this energy within a voltage range of 3.7 – 4.2 volts, 1 Amp. The Step-up module helps to convert the voltage being provided by the two Lithium batteries to a steady 5 volts which is required by the camera for its utilization. The RV (Remote Vehicle) System contains several chips serving different functions – One of these chips manages the power that comes into the system (the single small black chip), there is a big black chip apart from the two black chips arranged side by side which manages the control and the other black chip is responsible for the light function. The video feedback from the Camera is displayed on an Android phone device via an app known as V380pro, and this app can be connected through a HotSpot and a Wi-Fi connection alongside with the barcode on the camera system being scanned. The developed system when connected together performed satisfactorily. It will help to monitor an environment via mobile phone in which the system is placed

This study develops and applies stochastic process models to design an optimized solar-powered battery swapping hub for electric tricycles (Kekes) in Benin City, Nigeria, with the aim of reducing urban CO2 emissions. Using first-order Markov chains to model solar irradiance variability and non-homogeneous Poisson processes to capture time-varying vehicle arrival patterns, the research addresses the inherent uncertainty in both energy supply and demand. Queueing theory analysis estimates service quality metrics, while Monte Carlo simulation-based optimization determines optimal battery inventory levels balancing capital investment against system reliability. Theproposedsystemcomprises228solarpanels(91.2kWcapacity)and60lithiumiron phosphate batteries (180 kWh total storage), designed to serve approximately 95 Kekes daily during 12-hour operations (6 AM to 6 PM). Comprehensive simulations validate system performance across 100 annual cycles, projecting 96.1% service reliability and 94.4% solar energy independence. The system achieves annual CO2 emission reductions of approximately252metrictonsthroughdisplacementoffossilfuelcombustion,representing a 97% per-vehicle reduction. Economic analysis indicates a 4.3-year payback period with 22.7% internal rate of return and net present value of N11.66 million over 20 years. A small-scale prototype operated continuously for 30 days validates the theoretical framework through empirical data collection, demonstrating close agreement between predicted and observed performance across all metrics (within 3% error). Sensitivity analyses confirm system robustness under parameter variations of ±20% in arrival rates and ±10% in solar irradiance, with solar resource availability identified as the dominant performance driver. 5 The methodology presented provides a replicable framework for designing renewable energy-powered transportation infrastructure under uncertainty, applicable to similar urban contexts across developing nations. The integration of multiple stochastic processes, validatedthroughbothsimulationandempiricaltesting,demonstratesthatmathematically rigorous approaches can effectively guide sustainable infrastructure investment decisions