Aggressive Behaviour and Mental Illness: A Study of in-patients at Aro Neuropsychiatric Hospital, Abeokuta

To determine the magnitude and pattern of aggressive behaviour among psychiatric in-patients and identity associated socio-demographic and clinical factors. The studywas cross-sectional in design. Among patients admitted to theNeuro-psychiatricHospital, Aro (and its Lantoro annex), Abeokuta between January 1 to December 31, 2005, those who manifested aggressive behaviour were identified. Each was evaluated by the medical team, and a questionnaire detailing socio-demographic and clinic variableswas administered on them. Atotal of 305 patients comprising 213 (69.8%) males and 92(30.2%) females were managed as inpatients during the period of the survey. Out of these, 43 patients manifested aggressive behaviour representing a rate of 13.8%. The aggressive patients consisted of 26males and 17 females, representing rates of 12.2 and 18.5 percent for the sexes respectively. Of the 11 diagnoses entered for all the patients, only 3 were associated with aggressive behaviour. These included schizophrenia, 21 patients (48.8%); bipolar manic illness, 12 patients (27.9%) and co-morbid substance use (mainly cannabis) and mental disorder, 10 patients (22.3%). Nursing personnel constituted the majority of target of aggression. Unemployment was the only socio demographic variable observed with significant positive relationship with aggressive behaviour. In addition, the commonest probable precipitants of aggressive behaviour included hallucinations, clamouring for discharge and attempting to abscond, reaction to confrontational interview, impulsivity and reaction to unmet demands. Mental health practitioners (especially nurses) should be equipped with necessary skills in managing aggressive and potentially aggressive patients.The present observationsmay be useful in raising the suspicion of care providers on potentially aggressive patients for preventive purpose.Keywords: Aggressive Behaviour,Mental Illness, South-WesternNigeria

Optimal economie dispatch for the nigerian grid system considering voltage and line flow constraints

The electric power industries worldwide have undergone considerable changes especially from vertical structure to full deregulated entities. These changes are now introducing new problems in terms of operations, controls and planning of the entire grid systems. This calls for a more reliable analytical tool ever than before. One feasible solution is to perform the Optimal Economic Dispatch (OED) paradigm on this restructured power system so as to provide fairness to all operators. In this paper, the economic dispatch problem with voltage and line flow constraints has been formulated for the hydro-thermal generating units feeding the Nigerian power system. In order to solve the arising power flow problem a MATLAB based simulation package, MATPOWER version 3.0 has been suitably modified to obtain feasible solutions for different loading system scenarios. The results obtained showed that the OED offered a better optimal power schedules, power loss minimization and reduced total fuel cost than earlier work based on Micro-Genetic Algorithm, (MGA) and Conventional Genetic Algorithm (CGA)

Profile of clinically-diagnosed dementias in a neuropsychiatric practice in Abeokuta, South-Western Nigeria

Objective: Many subjects with dementia present primarily to neuropsychiatric practices because of behavioural and psychological symptoms (BPSD). This study reviewed the profile of clinically-diagnosed dementias and BPSD seen in a pioneer neuropsychiatric practice in Abeokuta, southwestern Nigeria over a ten year period (January1998 – December 2007). Methods: A review of hospital records of all patients with diagnoses of dementia or dementing illness using the ICD-10 criteria as well as specific diagnostic criteria for different dementia phenotypes. Associated BPSD, co-morbidities and treatments were also reviewed. Results: Out of a total of 240,294 patients seen over the study period, 108 subjects met clinical diagnostic criteria for probable dementia giving a hospital frequency of 45 per 100,000. Alzheimer’s disease (AD) and Vascular dementia (VaD) were the predominant phenotypes seen in 62 (57.4%) and 18 (16.7%) subjects respectively. Others include mixed dementia (4 cases), frontotemporal dementia (4 cases), Lewy body dementia (3 cases), alcohol-related dementia (3 cases), PD dementia (1 case) and unclassifiable (13 cases). Apathy, night time behaviour, aberrant motor behaviour, agitation and irritability were the most common BPSD features, while hypertension was the most common co-morbidity. Neuroleptics, anticholinergics and anti-hypertensives were most commonly prescribed. Anticholinesterase inhibitors were sparingly used. Conclusion: Probable AD was the most prevalent dementia phenotype seen in this practice. Increased awareness of dementia and better utilization of specific treatments are needed among psychiatrists and primary care practitioners in Nigeria.Keywords: Dementia phenotypes; BPSD; Neuropsychiatric practice; Nigeria; Afric

Polycyclic aromatic hydrocarbons in some Nigerian rasted plant foods

Thirteen polycyclic aromatic hydrocarbons (PAHs) were identified and quantified in three different roasted plant foods (Zea mays, Dioscorea rotundata and Musa paradisiaca) using a rapid method involving microwave assisted saponification and simultaneous extraction followed by solid-phase extraction (SPE), high-performance liquid chromatography (HPLC) separation and spectrofluorometric detection. The method applied had good recovery and repeatability characteristcs. With respect to raw samples, roasted samples had higher contamination levels with a maximum benzo[a]pyrene (BaP) content of 0.6 \u3bcg kg-1 dry weight. Roasted Zea mays had the highest low molecular weight- polycyclic aromatic hydrocarbons (LMW-PAH) load of 31.2 \u3bcg kg-1 dry weight, which may be due to the fact that the charred portions after roasting are not usually subjected to scrapping, an exercise which is usually carried out on other roasted plant foods. Anyways, PAHs exposure due to the consumption of roasted plant foods may not pose serious concerns for human health, especially as they are low in heavy molecular weight polycyclic aromatic hydrocarbons (HMW-PAHs)

A comparative study of EEG abnormalities among subjects with inter-ictal psychosis and those with schizophrenia

Background: Electrophysiological investigation is an integral part in the management of neuropsychiatric disorders; but this is rare in developing countries including Nigeria.Objectives: The study aims to determine EEG abnormalities among subjects with inter-ictal psychosis in comparison to those with schizophrenia.Methods: A cross-sectional study of subjects with inter-ictal psychosis and those with schizophrenia. Each of the subjects that met the inclusion criteria had an awake EEG recording that lasted 45 minutes.Results: For PWEIP, the mean age was 23.9 (±13.8) years; and made up of 53 (53.0%) males; and for PWS, the mean age was 24.2 (±13.5) years; and there were 51 (51.0%) males. The EEG was normal in 53 (53.0%) of PWEIP and in 83 (83.0%) of PWS. EEG was abnormal in 47 (47.0%) of PWEIP, and 17 (17.0%) in those with PWS, and these were all ‘epileptiform’ activities, and the difference was statistically significant with X2 =20.7 (Fisher’s exact test), df=1 and p=0.00**. Conclusion: A number of subjects in our sample with inter-ictal psychosis and PWS had EEG epileptiform activities reflecting cerebral insults in early life. Thus, preventive measures such as good antenatal care are advocated to minimize the occurrence of these neuro-psychiatric disorders.Keywords: EEG abnormalities, inter-ictal psychosis, schizophreni

An ethnobotanical survey of medicinal plants used by traditional healers for the treatment of cancer in Hammanskraal and Winterveld, Tshwane Metropolitan Municipality, South Africa

Background: Knowledge of medicinal plants used by the traditional healers are mostly confined among the locals and the adherents, hence, proper enquiry and documentation can help the ever dynamic scientific world to find permanent cure to the menace of such deadly diseases such as cancer. This study aimed at (1) specifically recording medicinal plants traditionally used for the treatment of cancer in Hammanskraal and Winterveld, South Africa, and (2) documenting the different methods of preparation and administration of those medicinal plants as recorded during the study. Method: An open-ended semi-structured questionnaire was administered to 90 willing traditional healers in Hammanskraal and Winterveld area, Tshwane Municipality, South Africa to document plants used for cancer treatments. The study was conducted over a period of six months (July – December, 2018). Descriptive statistics was used to present the obtained data. Results: The study recorded twenty-eight plant species belonging to 18 families for the treatment of different types of cancer. Plant species in the Fabaceae family particularly Lessertia frutescens (L.) Goldblatt and J.C. Manning, Senna italica Mill and Trifolium pratense L. were the most prominently mentioned (highest citation frequency) by the traditional healers for lung, and skin cancer treatment. Based on the citation frequency, the most treated cancer by the traditional healers is in the order: skin cancer > lung cancer > breast cancer > prostate cancer > cervical cancer. The method of preparation included decoction(32.3%), infusion (29%), paste (16.1%) and maceration (22.6%). Conclusion: In addition to the documentation of indigenous knowledge related to the use of medicinal plants in the traditional management of cancer in South Africa, this study opens a vista for investigations into the phytochemical and pharmacological properties of the documented plants. Keywords: Cancer; Indigenous plants; Medicinal plants; South Africa; Traditional practitioners

Prevalence and Determinants of Hearing Loss Among Primary School Children in Selected Schools in the Central Region of Ghana

Hearing loss in children often inhibits speech and language development, thus affecting academic performance, social and emotional well-being. Thus a comparative cross-sectional study was conducted in three primary schools in Ghana to assess hearing of the children attending those schools and also compare differences between these schools based on the pupils’ socioeconomic backgrounds. The data was used to determine prevalence of hearing loss in the schools. A comparison was then made between the results obtained among children attending the more affluent school and the less affluent schools. A total of 773 pupils were included in this study even though 839 pupils were screened as some pupils failed to adequately complete the questionnaires. The average age was 10 years with a standard deviation of 2.65. Significant hearing loss was identified in 4 children (0.5%). Abnormal tympanometry was identified in 86 (10.2%). Abnormal otologic findings identified included cerumen impaction in 73 children (36.5%), acute otitis externa in 7, acute otitis media in 6 and foreign bodies in 10. Schools with lower socioeconomic pupils had a higher prevalence of abnormal tympanometry but there was no difference in hearing loss prevalence. In conclusion, unidentified hearing loss in the three basic schools in Ghana was uncommon and prevalence was not impacted by the school’s socioeconomic background. However, a significant portion had abnormal middle ear function or external auditory canal occlusion from cerumen impaction and thus required further management

System Simulation of a Bayesian Network-Based Performance Prediction Model for Data Communication Networks

In this paper, a paradigm of a Bayesian Network–based performance prediction model for computer networks security risk management was emulated. Model simulation was carried out for the prediction model formulated. Java programming language tools were used to simulate, validate and verify the model. The core of simulation program was written in Java programming language. Some jar files were created in the code logic for all the modules in the prediction model. MS-DOS or command prompt was used to compile and run java and jar files. Batch scripts i.e. .bat files were written to compile the jar files. The output of the execution is shown using Java API files. Simulation technology was used in this study to evaluate network performance since it is very costly to deploy a complete test bed containing multiple networked computers, routers and data links to validate and verify the prediction model. The resulting risk impact on network confidentiality, Integrity and availability determine the criticality of the overall network performance which will aid in the effective application of countermeasures to mitigate the effect of network security risks

Equilibrium, kinetic and thermodynamic studies of biosorption of zinc ions from industrial wastewater using derived composite biosorbents from walnut shell

The biosorption process of Zn (II) ions in industrial wastewater was investigated using derived composite biosorbents from walnut and snail shells. Composite adsorbents were produced by activating walnut shell carbon (WSC) with phosphoric acid to obtain acid-treated walnut shell carbon (AWSC) and WSC and AWSC were independently impregnated on chitosan to produce walnut shell carbon impregnated on chitosan (WSCC) and acid-treated walnut shell carbon impregnated on chitosan (AWSCC) respectively. The removal efficiencies of Zn (II) ions from synthetic wastewater using the prepared adsorbents were determined. The effects of operational parameters on Zn (II) ions adsorption were investigated. The adsorption data of Zn (II) ions were analysed using Langmuir, Freundlich and Temkin isotherms. The Langmuir isotherm fitted the adsorption data excellently for the derived composite biosorbents, giving an indication of monolayer coverage on the derived composite biosorbents and the determination coefficients were close to unity. Also, the maximum adsorption capacities of 3.1104, 3.8052, 16.4474 and 17.6991 mg/g were obtained for WSC, AWSC, WSCC and AWSCC at pH=5, 1 g of adsorbent dosage, Zn (II) ions initial concentration of 30 mg/L, contact time of 2 h, agitation speed of 150 rpm, particle size of 60 BSS and temperature of 30°C. The kinetic modelling of Zn (II) ions adsorption showed that pseudo second-order kinetic model gave the best fit amongst the investigated kinetic models. The adsorption of Zn (II) ions on the prepared adsorbents was filmdiffusion controlled. The experimental results of this study showed that acid-treated walnut shell carbon impregnated on chitosan has the potential to be applied as alternative efficient low-cost biosorbent in the remediation of heavy metal contamination in wastewater. The thermodynamic parameters indicated that the adsorption of Zn (II) ions on the derived composite biosorbents was exothermic, endogonic, favourable, non-spontaneous with changes in enthalpy ( H , negative), entropy [ S , nearly zero (though negative)], and Gibbs free energy (G, positive), for all the prepared adsorbents

Comparison of Sentiment Analysis and User Ratings in Venue Recommendation

Venue recommendation aims to provide users with venues to visit, taking into account historical visits to venues. Many venue recommendation approaches make use of the provided users’ ratings to elicit the users’ preferences on the venues when making recommendations. In fact, many also consider the users’ ratings as the ground truth for assessing their recommendation performance. However, users are often reported to exhibit inconsistent rating behaviour, leading to less accurate preferences information being collected for the recommendation task. To alleviate this problem, we consider instead the use of the sentiment information collected from comments posted by the users on the venues as a surrogate to the users’ ratings. We experiment with various sentiment analysis classifiers, including the recent neural networks-based sentiment analysers, to examine the effectiveness of replacing users’ ratings with sentiment information. We integrate the sentiment information into the widely used matrix factorization and GeoSoCa multi feature-based venue recommendation models, thereby replacing the users’ ratings with the obtained sentiment scores. Our results, using three Yelp Challenge-based datasets, show that it is indeed possible to effectively replace users’ ratings with sentiment scores when state-of-the-art sentiment classifiers are used. Our findings show that the sentiment scores can provide accurate user preferences information, thereby increasing the prediction accuracy. In addition, our results suggest that a simple binary rating with ‘like’ and ‘dislike’ is a sufficient substitute of the current used multi-rating scales for venue recommendation in location-based social networks