Assimilation of 3D printing, Artificial Intelligence (AI) and Internet of Things (IoT) for the construction of eco-friendly intelligent homes: An explorative review.

The construction industry is witnessing a transformative shift towards sustainable and intelligent housing solutions driven by advancements in 3D printing, Artificial Intelligence (AI), and the Internet of Things (IoT). Several architectural and construction firms have adopted innovative technologies to make construction easier, sustainable, efficient, cheap, fast, low generation of waste etc. This explorative review critically examines the integration of these technologies in the construction of eco-friendly intelligent homes.

Knowledge and Perception of Paediatric Drug Dosing: Impact of Paediatric Drug Dosing Workshop.

Background: Paediatric patients frequently encounter medication errors caused by the requirement for individualised drug dose estimates based on weight, age variance, and drug pharmacokinetics. One thing contributing to drug dosing errors is the lack of healthcare personnel's knowledge of paediatric drug dosing. The present study aimed to evaluate the knowledge and perception regarding the workshop on paediatric drug dosing among undergraduate pharmacy students.

Experiment and Analysis of Variance for Stabilizing Fine-Grained Soils with Cement and Sawdust Ash as Liner Materials.

Due to volume change and low strength, fine-grained soils are problematic in construction. Stabilization with cement and sawdust ash (SDA) by-products can improve engineering properties. This study aimed to investigate the effectiveness of cement and sawdust ash (SDA) in stabilizing fine-grained soils for liner applications.

Metals in vegetables from markets in Zaria, Nigeria and risk assessment.

This study, investigated the concentrations of cadmium, lead and arsenic in vegetables grown with irrigation and sold in Sabon gari and Samaru markets in Zaria, Nigeria. Cadmium was absent in amaranthus, pepper and tomatoes purchased from Samaru market. Nevertheless, amaranthus and lettuce had higher concentrations of these toxic metals than pepper.

Marble Powder as a Soil Stabilizer: An Experimental Investigation of the Geotechnical Properties and Unconfined Compressive Strength Analysis.

Fine-grained soils present engineering challenges. Stabilization with marble powder has shown promise for improving engineering properties. Understanding the temporal evolution of Unconfined Compressive Strength (UCS) and geotechnical properties in stabilized soils could aid strength assessment.

Role of the IL8 rs4073 polymorphism in central nervous system toxicity in patients receiving multidrug-resistant tuberculosis treatment.

Objective: To determine the role of the IL8 rs4073 polymorphism in predicting the risk of central nervous system (CNS) toxicity in patients receiving standard pharmacological treatment for multidrug-resistant tuberculosis (MDR-TB).

Methods: A cohort of 85 consenting MDR-TB patients receiving treatment with second-line antituberculosis drugs had their blood samples amplified for the IL8 (rs4073) gene and genotyped. All patients were clinically screened for evidence of treatment toxicity and categorized accordingly.

Effect of Audio-Visual-Based Art and Music Therapy in Reducing Adolescents Post Traumatic Stress Disorder.

Purpose: Post-traumatic stress disorder (PTSD) is a severe anxiety disorder that can develop due to exposure to any event that may result in psychological trauma. This study compared the effect of interactive audio-visual-based art and music therapy in reducing post-traumatic stress disorder in adolescents who survived abduction in Nigeria.

Methods: A quasiexperiment was carried out in two selected secondary schools in Northern Nigeria.

CRISPR/Cas12-based electrochemical biosensors for clinical diagnostic and food monitoring.

Each organism has a unique sequence of nitrogenous bases in in the form of DNA or RNA which distinguish them from other organisms. This characteristic makes nucleic acid-based detection extremely selective and compare to other molecular techniques. In recent years, several nucleic acid-based detection technology methods have been developed, one of which is the electrochemical biosensor.

Knowledge of Medical Students Towards the Re-emergence of Human Monkeypox Virus.

Introduction: Declaration of human monkeypox(HMPX) virus as Public Health Emergency of International Concern (PHEIC) by World Health Organisation (WHO) has raised concerns among the public andlack of knowledge is a prominent challenge in curbing this outbreak. Therefore, assessment ofknowledge level on this outbreak among the medical students is also necessary due to the fact that they are the future healthcare practitioners who will be directly involved in the disease management as well as a major source of knowledge dissemination to the public.

Aim: The main objective of this study is to assess the knowledge level of medical students at Universiti Sultan Zainal Abidin (UniSZA) regarding the emergence of HMPX.

Assessment of head CT protocol to reduce the radiation dose in eye lens in some selected hospital in Kaduna State, Nigeria.

The lens of the eye are very sensitive to radiation and mostly exposed to scattered radiation during the Computed Tomography (CT) procedure. The study measures the absorbed doses to the lens of the eye and proposed a diagnostic reference level for head examination by comparing the current research result with the international standard. The incurred doses of 62 patients who undergone head and neck CT procedure were measure using thermoluminescent dosimeters (TLD-100), the protocols adopted in the study were brain (sequential and spiral), sinus (sequential and spiral), and neck-brain (spiral).

Computer aided detection of tuberculosis using two classifiers.

Tuberculosis caused by Mycobacterium tuberculosis have been a major challenge for medical and healthcare sectors in many underdeveloped countries with limited diagnosis tools. Tuberculosis can be detected from microscopic slides and chest X-ray but as a result of the high cases of tuberculosis, this method can be tedious for both microbiologist and Radiologist and can lead to miss-diagnosis. The main objective of this study is to addressed these challenges by employing Computer Aided Detection (CAD) using Artificial Intelligence-driven models which learn features based on convolution and result in an output with high accuracy.

Development of Hausa dataset a baseline for speech recognition.

The Hausa language read-speech dataset was created by recording native Hausa speakers. The recording took place at Nile university of Nigeria audio studio and radio broadcasting studio. The recorded dataset was segmented into unigram and bigram.

Prevalence and Impacts of Psychoactive Substance Abuse amongst Undergraduate University Students in Katsina State, Nigeria.

Background: Drug and substance abuse among university students is of public health concern and is becoming a global threat to the education system. This is more devastating to the academic performance of the addicts. The present study aims to assess the prevalence and impacts of psychoactive substance abuse among the university undergraduate students in Katsina State, Nigeria, and to determine the effects of such abuses on the students' academic performance.

Microbial contamination of packaged drinking water in Nigeria.

Objectives: About 18% of urban households in Nigeria depend on packaged sachet water as the primary source of drinking water. This review assessed microbial contamination of these products with an emphasis on total coliforms and the faecal indicator bacteria (FIB) - Escherichia coli (E. coli) and thermotolerant coliforms (TTC).

Clinical pharmacy services provided in public sector hospitals in Nigeria: a national survey.

Objectives: Studies show that clinical pharmacy services are effective in optimizing medicines use and patients' outcomes. This study aimed to determine the clinical pharmacy services provided in public sector hospitals in Nigeria.

Methods: This was an online survey of 296 primary, secondary and tertiary care hospitals sampled purposively across the 36 States and Federal Capital Territory in Nigeria.

Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases.

Reverse-Transcription Polymerase Chain Reaction (RT-PCR) method is currently the gold standard method for detection of viral strains in human samples, but this technique is very expensive, take time and often leads to misdiagnosis. The recent outbreak of COVID-19 has led scientists to explore other options such as the use of artificial intelligence driven tools as an alternative or a confirmatory approach for detection of viral pneumonia. In this paper, we utilized a Convolutional Neural Network (CNN) approach to detect viral pneumonia in x-ray images using a pretrained AlexNet model thereby adopting a transfer learning approach.

A novel multi-model data-driven ensemble approach for the prediction of particulate matter concentration.

Accuracy in the prediction of the particulate matter (PM and PM) concentration in the atmosphere is essential for both its monitoring and control. In this study, a novel neuro fuzzy ensemble (NF-E) model was proposed for prediction of hourly PM and PM concentration. The NF-E involves careful selection of relevant input parameters for base modelling and using an adaptive neuro fuzzy inference system (ANFIS) model as a nonlinear kernel for obtaining ensemble output.

Esophageal Scab Mimicking a Parasite: A Case Report.

BACKGROUND Parasitic helminths in the esophagus are rare. Here, we report a case of esophageal scab mimicking a parasite. CASE REPORT A 65-year-old man was admitted to our hospital because after choking on food.

Medication safety practices in healthcare facilities in Kaduna State, Nigeria: a study protocol.

Background: In recent years, there has been growing concern about patient safety and this is becoming a global problem. Medication safety can be used to describe systematic assessments of healthcare professionals' practices as related to safe use of medicines. Identification and prevention of medication errors is the key component of medication safety.

An emotional artificial neural network for prediction of vehicular traffic noise.

Road traffic is a leading source of environmental noise pollution in large cities, which greatly affects the health and well-being of people. A reliable method for the prediction of road traffic noise is required for monitoring and assessment of traffic noise exposure. This study presents the first application of the Emotional Artificial Neural Network (EANN), as a new generation of neural network method for modeling the road traffic noise in Nicosia, North Cyprus.

Artificial intelligence based ensemble model for prediction of vehicular traffic noise.

Vehicular traffic noise is the main source of noise pollution in major cities around the globe. A reliable and accurate method for the estimation of vehicular traffic noise is therefore essential for creating a healthy noise-free environment. In this study, 2 linear (simple average and weighted average) and 2-nonlinear (neural network and neuro-fuzzy) ensemble models were developed by combining the outputs of three Artificial Intelligence (AI) based non-linear models; Adaptive Neuro Fuzzy Inference System (ANFIS), Feed Forward Neural Network (FFNN), Support Vector Regression (SVR) and one Multilinear regression (MLR) model to enhance the performance of the single black box models in predicting vehicular traffic noise of Nicosia city, North Cyprus.

Awareness and perception of preconception care among women in Usmanu Danfodiyo University Teaching Hospital Sokoto, North-Western Nigeria.

Background: Preconception care is an interventions aim to identify and modify biomedical, behavioral and social risks to pregnancy through prevention and management, emphasizing factors that must be acted upon before conception or in early pregnancy to have maximal impact.

Objective: The aim of the study is to assess awareness and perception of preconception care among women.

Method: A cross-sectional study conducted at UDUTH Sokoto, Nigeria, from 5 February to 1 March, 2018.

An overview of civil society organizations' roles in health project sustainability in Bauchi State, Nigeria.

Introduction: This study sets out to assess the roles of Civil Society Organizations (CSOs) in post donor health project sustainability in Low and Middle Income Countries (LMICs), the case of the Bauchi State, Nigeria. This study equally investigated the CSOs strategies and roles in health project sustainability.

Methods: For quantitative data collection, the random, purposive, and convenient sampling techniques were used and 156 respondents selected from relevant organizations operating in Bauchi state, Nigeria, and 15 respondents for Key Informant Interviews (KIIs).

Prevalence of coccidiosis among village and exotic breed of chickens in Maiduguri, Nigeria.

Aim: Coccidiosis is an important enteric parasitic disease of poultry associated with significant economic losses to poultry farmers worldwide. This survey was conducted from June 2014 through July 2015 with the main goal of investigating the prevalence and associated risk factors of coccidiosis among village and exotic breeds of chickens in Maiduguri, Northeastern Nigeria.

Materials And Methods: A total of 600 fecal samples from live and slaughtered birds comprising 284 young, 141, growers and 175 adult birds; 379 male and 221 female birds; 450 exotic and 150 local breeds of birds were randomly collected either as bird's fresh droppings or cutting open an eviscerated intestine of slaughtered birds, while noting their age, sex, and breeds.