The paradox of underdevelopment amidst oil in Nigeria: a socio-legal explanation

The trend in development discourse is to explain underdevelopment in terms of bad governance which lack of rule of law brings about. Development in this sense is understood as economic growth while rule of law is limited to an institutional version which is market-oriented. In this thesis, development is examined from a people-centred perspective. Abject poverty, dysfunctional educational and health systems sitting side by side with reasonably sufficient oil wealth is the problematic premise which the thesis seeks to explain. While acknowledging that it could be explained from a range of disciplines and perspectives, this thesis offers a socio-legal explanation in terms of public corruption spurred by absence of rule of law in practice. Corruption is high in Nigeria though national law has criminalised it and the country has ratified international law frowning at it. Among its myriad upshots is depleting resources for development. It is a dependant variable; and this thesis links it to absence of rule of law in practice. But because the orthodox rule of law privileges the market, it is inappropriate in explaining corruption in the public realm. The thesis therefore departs from it and instead proposes a rule of law version which would ensure management of resources for human development. It constitutes the following elements: supremacy of the law; equality before the law, trusts over public funds; code of conduct for public officers; and restraint on executive powers. The thesis argues that the Constitutions in Nigeria have made adequate provisions for this version of rule of law. However, the provisions have either been suspended or substantially breached over the years. For a large part of its existence, Nigeria was under military rule which is antithetical to rule of law through its subordination of the constitution, sacking of the legislature, and muzzling of the judiciary. Despite the existence of the Constitution and democratic institutions during civilian regimes, the rule of law provisions remained largely unimplemented. In both regimes, the executive arm of government, unto which public funds are entrusted, enjoyed absolute powers. This situation, the thesis argues, explains the development-impeding corruption

Peer-to-peer Approach for Distributed Privacy-preserving Deep Learning

The revolutionary advances in machine learning and Artificial Intelligence have enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making. Deep learning is the most effective, supervised, time and cost efficient machine learning approach which is becoming popular in building today’s applications such as self-driving cars, medical diagnosis systems, automatic speech recognition, machine translation, text-to-speech conversion and many others. On the other hand the success of deep learning among others depends on large volume of data available for training the model. Depending on the domain of application, the data needed for training the model may contain sensitive and private information whose privacy needs to be preserved. One of the challenges that need to be address in deep learning is how to ensure that the privacy of training data is preserved without sacrificing the accuracy of the model. In this work, we propose, design and implement a decentralized deep learning system using peer-to-peer architecture that enables multiple data owners to jointly train deep learning models without disclosing their training data to one another and at the same time benefit from each other’s dataset through exchanging model parameters during the training. We implemented our approach using two popular deep learning frameworks namely Keras and TensorFlow. We evaluated our approach on two popular datasets in deep learning community namely MNIST and Fashion-MNIST datasets. Using our approach, we were able to train models whose accuracy is relatively close to models trained under privacy-violating setting, while at the same time preserving the privacy of the training data

Multiple antimicrobial resistance of Escherichia coli and Salmonella species isolated from broilers and local chickens retailed along the roadside in Zaria, Nigeria

Pathogenic Escherichia coli and Salmonella species are the causative agents of various disease complexes in poultry such as colibacillosis, fowl typhoid, pullorum disease and salmonellosis. Some strains of E. coli and Salmonella spp. have been shown to be resistant to multiple antibiotics. We carried out a bacteriological investigation on 105 cloacal swabs from local and broiler chickens retailed along the roadside in Hanwa, Zaria for the occurrence of E. coli and Salmonella spp. by isolation through culture, and identification using biochemical and serotyping techniques. Serotyping of E. coli isolates was carried out with polyvalent E. coli O157:H7 antisera while Salmonella spp. isolates were serotyped using polyvalent antisera specific for all groups and type-factor for Salmonella spp. Presumptive isolates were subjected to antimicrobial susceptibility testing using 13 panels of antibiotics for both E. coli and Salmonella spp. Results showed that the overall isolation rate of Salmonella spp. was 12 (11.4%), broiler chickens had higher isolation rate 9 (12.0%) of Salmonella than local chickens. However, the isolation rate of E. coli from local chickens 15 (50.0%) was higher compared to broilers 6 (8.0%). Also, non-E. coli O157:H7 and E. coli O157:H7 were isolated from both broilers and local chickens at a frequency of 15 (14.3%) and 6 (5.7%) respectively. The overall isolation rate of E. coli was 21 (20.0%). Multiple antibiotic resistance was observed among local and broiler chickens. However, E. coli and Salmonella species were 100% susceptible to Enrofloxacin. We therefore concluded that E. coli and Salmonella species are prevalent in the cloacae of both broiler and local chickens retailed along the roadside in Hanwa, Zaria, Nigeria and could pose serious veterinary and public health risks.Keywords: Escherichia coli, Isolation, Salmonella, Serotype, Zari

Musculoskeletal Symptoms among Family Caregivers of Community-Dwelling Stroke Survivors in Nigeria

Introduction: Caring for stroke survivors may be burdensome with adverse consequences on caregivers’ physical health. This study examined the prevalence of musculoskeletal symptoms and associated factors among family caregivers of stroke survivors in Nigeria. Methods: A hospital-based cross-sectional study involving 90 stroke caregiver and stroke survivor dyads was conducted. Data on the participants’ demographics and post-stroke duration were obtained. Seven-day prevalence of musculoskeletal symptoms among the caregivers and level of stroke survivors’ disability were respectively assessed using the Nordic Musculoskeletal Questionnaire and Modified Rankin Scale. Prevalence of musculoskeletal symptoms was presented as percentages while participants’ characteristics associated with prevalence of musculoskeletal symptoms were examined using inferential statistics. Results: Mean (SD) age of caregivers and stroke survivors was 33.2 (10.7) years and 58.9 (9.7) years respectively. Majority of the caregivers were females (61.1%), and children of the stroke survivors (58.9%). Prevalence of musculoskeletal symptoms was 82.2%. The low back was the most affected body region (72.2%) followed by the upper back (40%) while musculoskeletal symptoms in the wrist was least prevalent (3.3%). Female caregivers, caregivers of female stroke survivors and spousal caregivers had significantly higher prevalence of musculoskeletal symptoms compared to other categories of caregivers. Only 5 (5.6%) caregivers had however received any training on safe care giving methods while only 21 (28.4%) caregivers with musculoskeletal symptoms had received treatment. Conclusion: With the high prevalence of musculoskeletal symptoms among family caregivers of stroke survivors, effective preventive strategies including training and education as well as timely access to treatment would be required