Cassava Waste Management and Biogas Generation Potential in Selected Local Government Areas in Ogun State, Nigeria

Agricultural products such as cassava produce huge amounts of waste when processed into consumable goods. The waste generated is generally considered to contribute largely to environmental pollution. This study therefore investigates the waste management practice that is adopted by cassava processors in Ogun State, Nigeria. Five local government areas (LGAs) dominant in processing cassava were selected for the study on the basis of spatial location distribution, landmass, and population. The survey involved the use of structured questionnaires administered to cassava processors of the selected LGAs. The Statistical Package for Social Sciences (SPSS) software application and descriptive statistics were used for data analysis. Results of the analysis show that the majority (70%) of the cassava processors are females. Cassava peel constitutes 10% of the waste produced, of which 91% is heaped at refuse dumps in most communities. Results also reveal that 86.3% of cassava residues are used for animal feeds. Other findings show that the peels, when dried, are used as biofuel for cooking and there is a significant potential for biogas production. From the data captured from respondents during the study, most processors are willing to pay for an improved waste management system. The study therefore recommends the proper waste management of cassava waste to minimize environmental pollution

The Influence of Type a Behaviour and Locus of Control of Conflict Resolution Strategies Among SME Employees in Ondo State

The ability of employees to resolve conflicts is as important as making profit for the organization. Conflict within and outside an organization takes an enormous toll in the growth, development and sustenance of the organization. The study examined the influence of Type A behaviour and locus of control on conflict resolution among employees in SME’s in Ondo State. The study made use of Pearson Product Moment Correction (PPMC) to measure the extent of relatedness of the predictor variables on conflict resolution among SME employees in Ondo State. A total of 210 SME employees participated in the study. Convenient sampling technique was used to select the participants. The result of the study show that Type A had a significant relationship with conflict resolution strategies [r (210) = .31; p > 0.05]. This implies that as Type A behaviour significantly predicted conflict resolution strategies.  Similarly, openness to experience had significant relationship with conflict resolution strategies [r (210) = .44; p < 0.05].based on the findings of the study, the result of the analysis revealed that An all-inclusive, effective and functional conflict resolution support system should be established by SME organizations to replace the existing system. Also, employees should be vested with reliable information through conferences, seminars, consultations and workshops on current conflict resolution practices systems as obtainable in developed societies. Keywords: Type A behaviour, locus of control and conflict resolution strategie

Computational Numerical Solution for Traveling Salesman Problem

This paper examined and analysed the desire of Traveling Salesman Problem (TSP) to find the cheapest way of visiting all given set of cities and returning to the starting point.     We presented a unique decomposition approach model for TSP in which the requirements and features of practical application in communication network, road transportation and supply chains are put into consideration.  We used a Mathematical Modeling solution with the application of Ant Colony Search Algorithm (ACSA) approach for result computation. In our approach, different Agents were created for difference purposes.   Information agent gathered information about best tour and detected the solution agent that arrived at a given point with information message containing details of where the solution agent has come from as well as best tour cost.  The place ant performs local pheromone decay on the relevant links.   This help to avoid random visit to irrelevant edges and allows the place ant to calculate the cost of tour of all place ants including the latest pheromone level on the links to each of the place ants. The solution agent uses available information to decide  which node to visit next and informs the place ant of  its decision to move to a given destination and update better tour  previously sampled while information about where to go next also obtained.       The place ant updates its pheromone value for that link using the equivalent of the algorithm for local pheromone update.    The cycle continues until solution agent arrives at its destination. The main advantage of our approach is that it permits the use of mixed integer programming and combinatorial optimization techniques to compute real optimal routing path, solving the problem in practice by returning actual shortest route with its numerical value and not the best effort result as provided by some previous models and analytical methods. The implementation was carried out using C# programming language.  Data used were generated and the performance evaluation of the model was carried out through simulation using Matlab 7.0.  The result shows that by considering all possible paths between a node as the source and another as the destination, all possible routes for a particular journey with shortest route in each case were generated. Keywords: Ant Colony, Combinatorial Optimization, Mixed Integer Programming, Pheromone, Search Algorithm and Traveling Salesman

Computational Numerical Solution for Traveling Salesman Problem

This paper examined and analyzed the desire of Traveling Salesman Problem (TSP) to find the cheapest way of visiting all given set of cities and returning to the starting point.     We presented a unique decomposition approach model for TSP in which the requirements and features of practical application in communication network, road transportation and supply chains are put into consideration.  We used a Mathematical Modeling solution with the application of Ant Colony Search Algorithm (ACSA) approach for result computation.  In our approach, different Agents were created for difference purposes.   Information agent gathered information about best tour and detected the solution agent that arrived at a given point with information message containing details of where the solution agent has come from as well as best tour cost.  The place ant performs local pheromone decay on the relevant links.   This help to avoid random visit to irrelevant edges and allows the place ant to calculate the cost of tour of all place ants including the latest pheromone level on the links to each of the place ants. The solution agent uses available information to decide  which node to visit next and informs the place ant of  its decision to move to a given destination and update better tour  previously sampled while information about where to go next also obtained.  The place ant updates its pheromone value for that link using the equivalent of the algorithm for local pheromone update.  The cycle continues until solution agent arrives at its destination. The main advantage of our approach is that it permits the use of mixed integer programming and combinatorial optimization techniques to compute real optimal routing path, solving the problem in practice by returning actual shortest route with its numerical value and not the best effort result as provided by some previous models and analytical methods. The implementation was carried out using C# programming language.  Data used were generated and the performance evaluation of the model was carried out through simulation using Matlab 7.0.  The result shows that by considering all possible paths between a node as the source and another as the destination, all possible routes for a particular journey with shortest route in each case were generated. Keywords: Ant Colony, Combinatorial Optimization, Mixed Integer Programming, Pheromone, Search Algorithm and Traveling Salesman

Bioaccumulation of Heavy Metals by Moringa Oleifera in Automobile Workshops from three Selected Local Governments Area, Ibadan, Nigeria

Plants accumulate minerals essential for their growth from the environment alongside with heavy metals from contaminated areas.This study investigated bioaccumulation of heavy metals by Moringa oleifera in automobile workshops in three selected local government areas in Ibadan. This was done with a view to determining the concentration and type of heavy metals accumulated in the tissues of Moringa oleifera grown around automobile workshops. Barks, leaves and seeds of M. oleifera were collected from three automobile workshops in each of the local government area and from a control site. The samples were dried, ground and analyzed for heavy metals content (Cu, As, Pb, Cd, Cr, Mn and Zn) using ICP-MS. The mean level of heavy metals obtained ranged from 0.018 ± 0.001 to 0.356 ± 0.021 in the leaves, 0.012 ± 0.001 to 0.255 ± 0.016 in the seed and 0.048 ± 0.003 to 0.989 ± 0.003 in the bark. The concentration of heavy metals recorded followed the trend of Cu > Zn > Mn > Pb > Cr > As > in the leaves; Zn > Cu > Pb > Cr = Mn > As in the seeds and Zn > Cu > Mn > Pb > Cr > As> in the barks. The overall concentration of heavy metals bioaccumulated by this plant follows the trend; bark > leaves > seeds. The increase in the concentrations of heavy metals observed in the barks, leaves and seeds of M. oleifera collected from automobile workshops to that of control site indicated the impact of mechanical activities in introducing trace metals to the environment.The study further suggested that Moringa olifera in polluted sites may accumulate trace metals in any of its parts; hence care should be taken when harvesting the plant for medicinal purpose

Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects

Using Artificial intelligence technologies in cardiology has witnessed rapid advancements across various domains, fostering innovation and reshaping clinical practices. The study aims to provide a comprehensive overview of these AI-driven advancements and their implications for enhancing cardiovascular healthcare. A systematic approach was adopted to conduct an extensive review of scholarly articles and peer-reviewed literature focusing on the application of AI in cardiology. Databases including PubMed/MEDLINE, ScienceDirect, IEEE Xplore, and Web of Science were systematically searched. Articles were screened following a defined selection criteria. These articles' synthesis highlighted AI's diverse applications in cardiology, including but not limited to diagnostic innovations, precision medicine, remote monitoring technologies, drug discovery, and clinical decision support systems. The review shows the significant role of AI in reshaping cardiovascular medicine by revolutionising diagnostics, treatment strategies, and patient care. The diverse applications of AI in cardiology showcased in this study reflect the transformative potential of these technologies. However, challenges such as algorithm accuracy, interoperability, and integration into clinical workflows persist. AI's continued advancements and strategic integration in cardiology promise to deliver more personalised, efficient, and effective cardiovascular care, ultimately improving patient outcomes and shaping the future of cardiology practice

Safety and effectiveness of primary transscleral diode laser cyclophotoablation for glaucoma in Nigeria.

IMPORTANCE: To investigate the safety, effectiveness and follow-up rates after transscleral diode laser cyclophotocoagulation as primary treatment for seeing eyes with primary open angle glaucoma in Bauchi, Nigeria. BACKGROUND: There is a high prevalence of primary open angle glaucoma in Africa where adherence to medical treatment and acceptance of surgery are poor. DESIGN: Prospective case series. PARTICIPANTS: New glaucoma patients where surgical intervention was recommended. METHODS: A diode 810 nm laser G-probe was used under retrobulbar anaesthesia to deliver approximately 20 shots for 2000 ms, titrating the power. If both eyes were treated the first was the study eye. Repeat treatment offered if the intraocular pressure (IOP) was >21 mmHg on two consecutive visits. MAIN OUTCOME MEASURES: IOP < 22 mmHg, change in ≥2 lines of Snellen visual acuity (VA), and complications. RESULTS: 201 out of 204 eyes with complete data analysed. Mean age 52 years, 17 (8.3%) eyes were re-treated. Mean pre-treatment IOP was 39 (SD 11) mmHg. 106 (53%) attended at 12 months when the mean IOP was 19 (7-45) mmHg; 77 (73%) had IOP < 22 mmHg. VAs were better in 13 (12.3%) and worse in 23 (21.7%) eyes. Postoperative complications included mild uveitis (5.5%), corneal oedema (2.5%), severe uveitis (0.5%) and transient hypotony (2.0%). No hypotony at 12 months. CONCLUSIONS AND RELEVANCE: Transscleral diode laser cyclophotocoagulation controlled IOP in almost three quarters of eyes at 12 months with short-term preservation of vision and minimal complications. Poor follow-up in this setting highlights the need for an effective, safe and acceptable treatment where regular follow-up is less critical

Disgust sensitivity is not associated with health in a rural Bangladeshi sample.

Disgust can be considered a psychological arm of the immune system that acts to prevent exposure to infectious agents. High disgust sensitivity is associated with greater behavioral avoidance of disease vectors and thus may reduce infection risk. A cross-sectional survey in rural Bangladesh provided no strong support for this hypothesis. In many species, the expression of pathogen- and predator-avoidance mechanisms is contingent on early life exposure to predators and pathogens. Using childhood health data collected in the 1990s, we examined if adults with more infectious diseases in childhood showed greater adult disgust sensitivity: no support for this association was found. Explanations for these null finding and possible directions for future research are discussed

Modelling Outcomes of Collaboration in Building Information Modelling Through Gaming Theory Lenses

Construction project performance is vulnerable to process fragmentation and weak frameworks for sustaining objectivity and value integration between stakeholders, including clients, involved in the project development processes. For centuries, conventional construction processes have endured the challenges associated with this phenomenon. Several industry reports have suggested this situation is responsive to effective communication, collaboration, thorough integration and a passion for objectivity in data sharing and information management between key players. While entity-based computer-aided design (CAD) lacks the framework to facilitate an effective result in this direction, Building Information Modelling (BIM) has shown the potential for major improvements over the limitations of manual and CAD design methods. Three Game Theory models (Prisoner’s dilemma, Pareto Optima and Hawk-dove) have been proposed to mirror certain implications of players’ actions in BIM environment. In all the gaming lenses used, the study suggests that stakeholders and industry will only benefit when BIM is fully adopted. It has been established that when BIM is partially adopted, the compliant party is likely to benefit more, while the non-compliant party may not necessarily gain the same benefits. The study concluded that BIM means a lot to the industry; the industry cannot afford the consequences of failing to adopt BIM potentials and allied innovations in an era where digital technology is revolutionising other industries. Recommendations are made on areas for further research

VOLTAGE MAGNITUDE IMPROVEMENT: A CASE STUDY OF NIGERIAN 330kV TRANSMISSION SYSTEM

Voltage magnitude improvement on power system is important for effective power delivery to consumers. In this study, voltage magnitudes of buses on Nigerian 330kV Transmission System were determined using the Newton-Raphson Power Flow solution method. Buses with low voltage magnitudes were identified. Appropriate shunt capacitor bank ratings in Mega-Volts Ampere (MVA) were determined and installed on the buses with voltage magnitudes that violate limits. It was discovered that the the injection of appropriate MVAr ratings on the buses improved the bus voltage magnitude to fall within acceptable range. Power system losses on the Nigerian 330kV Transmission System were also considerably reduced