A5001771340- Caching and Content Delivery
- COVID-19 epidemiological studies
- Advanced Data Storage Technologies
- Opportunistic and Delay-Tolerant Networks
- Cooperative Communication and Network Coding
- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Scientific Computing and Data Management
- Research Data Management Practices
- SARS-CoV-2 and COVID-19 Research
- Smart Parking Systems Research
- Cloud Computing and Resource Management
- COVID-19 Clinical Research Studies
- Trauma and Emergency Care Studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Artificial Intelligence in Healthcare
- Artificial Intelligence in Healthcare and Education
- Phytochemical Studies and Bioactivities
- Cardiac, Anesthesia and Surgical Outcomes
- Peer-to-Peer Network Technologies
- Cognitive Computing and Networks
- Evolution and Genetic Dynamics
- Synthesis and biological activity
- Digital Accessibility for Disabilities
- Sleep and Work-Related Fatigue
Glasgow Caledonian University
2025
University of Abuja
2024
Ibrahim Badamasi Babangida University
2013-2024
The Federal Polytechnic, Ado-Ekiti
2021-2024
Federal Polytechnic, Bauchi
2024
Nile University of Nigeria
2021-2022
Universiti Sains Malaysia
2021
Sokoto State University
2013-2021
Ahmadu Bello University Teaching Hospital
2020
Usmanu Danfodiyo University
2017-2019
Abstract Background Coronavirus Disease 2019 (COVID-19) Pandemic caused by SARS-CoV-2 is ongoing causing human and socioeconomic losses. Objective To know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine seroprevalence, patterns, dynamics, risk factors state. Methods A cross sectional design Clustered-Stratified-Random sampling strategy were used select 185 test participants across IgG IgM Rapid Test Kits (Colloidal gold immunochromatography...
Abstract The limited volume of COVID‐19 data from Africa raises concerns for global genome research, which requires a diversity genotypes accurate disease prediction, including on the provenance new SARS‐CoV‐2 mutations. Virus Outbreak Data Network (VODAN)‐Africa studied possibility increasing production clinical data, finding about ownership, and use health quality treatment at point care. To address this, VODAN developed an architecture to record research collected incidence COVID‐19,...
The COVID-19 pandemic caused by SARS-CoV-2 is causing ongoing human and socioeconomic losses.To know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine seroprevalence, patterns, dynamics, risk factors state.A cross-sectional design clustered, stratified random sampling strategy were used select 185 test participants across state. IgG IgM rapid kits (colloidal gold immunochromatography lateral flow system) presence or absence of antibodies blood...
As supply chains evolve toward the adoption of Industrial Internet Things (IIoT), vast amounts data are collected by different systems across manufacturing, logistics and transportation value chain. John G Russell (Transport) is a UK-based company involved in multiple lines business adopts utilization intelligence as way to collect, process utilize for insights, this presents an opportunity applying artificial (AI) approaches such reinforcement learning (RL), identify trends, offer...
Antimicrobial chemotherapeutic failure as a result of pathogenic resistance stain is great concern across the globe, there need to search for an effective antimicrobial agent from synthetic sources wipe microbial resistant in clinical practice. The phenylhydrazone derivatives were scientifically found have wide application area drug discovery due their anticancer, anti-tubercular, anti-bacterial and anti-fungal activities. Five (5) novel (E)-Substituted-N-(phenylhydrazones)...
The study looked at the effects of POS utilization by micro businesses on their sales and access to some basic financial services especially credit which is often considered as necessary for business expansion development. chosen area one rural local government areas in kano state hence there need find out whether use such a location actually promoting development enterprises. A sample 111 enterprises who utilize point sale terminal transactions was used study. data gathered were analyzed...
This study examined the association between somatotype components and risk of Type 2 diabetes mellitus (T2DM) also assessed diagnostic accuracy in predicting T2DM for Nigerian population. crosssectional comprised 170 participants aged 30-65; 28 males 62 females confirmed T2DM, 37 43 females’ control, selected using systematic random sampling from Endocrine Outpatient Clinic, Ahmadu Bello University Teaching Hospital Zaria, Kaduna State. Subjects were somatotyped Heath Carter method. Binary...
Abstract Adopting the FAIR Guidelines—that data should be Findable, Accessible, Interoperable and Reusable (FAIR)—in health system in Nigeria will help protect against use by unauthorised parties, while also making more accessible to legitimate users. However, little is known about Guidelines their compatibility with laws policies Nigeria. This study assesses governance framework for digital health/eHealth explores possibility of a policy window opening adopted implemented Nigeria's eHealth...
The consumption of suya meat is rising significantly due to the product's growing demand. Perishable foods like and products such as soya meats are susceptible deterioration by microorganisms. research was conducted ascertain microbiological quality sold in Katsina metropolis. 25 samples were purchased from five different vendors. bacteria isolated characterized using standard techniques. Results investigations revealed presence Salmonella species, Bacillus Staphylococcus Escherichia coli....
Abstract Research and development are gradually becoming data-driven the implementation of FAIR Guidelines (that data should be Findable, Accessible, Interoperable, Reusable) for scientific administration stewardship has potential to remarkably enhance framework reuse research data. In this way, is aiding digital transformation. The ‘FAIRification’ increases interoperability (re)usability data, so that new robust analytical tools, such as machine learning (ML) models, can access deduce...
In recent years, AI has made many advances in multiple fronts. One such advance is the development of Large Language Models(LLMs), a deep learning model trained with large set data on billions parameters. Many Generative Pretrained Transformer (GPT) models have been developed these LLMs. ChatGPT become most popular GPT used by people. Recently, blackhat named WormGPT launched for cybercriminals. capable launching types attacks resulting irreparable damage. Hence, Users are required to be...
Health Information Technology (HIT) is becoming popular these days because of its immense benefits such as improving quality, efficiency and healthcare delivery. HIT can be used to provide medical services patients from a distance typically via Internet or mobile phone like SMS. Similarly, remote patient monitoring form that brings together the fields information technology sciences. Remote allows suffering different diseases particularly chronic monitored, in order have constant care. With...
Information dissemination has been the practice of today’s Internet with media data overtaking ordinary textual information. A need to subscribe Information-centric network seen as an option provide better manageability future Internet. Caching is therefore assumed be most beneficial for fast delivery information, saving cost and efficient bandwidth utilization. However, in popular caching strategy, content path redundancy necessitated extension mitigating their effects. This paper provides...
Process as an individualistic entity program and a in execution requires good scheduling algorithm for its throughput latency measures.This work made study of existing process algorithms carefully examines the Longest Job First (LJF) key to minimizing overall Average Waiting Time (AWT) Turn-Around (ATAT) multiprocessing systems find ways making popularly usable field computer application life endeavors.A sample generated attributes burst-time along each were used simulate scenario, by new...
This study proposes a new method to enhance the security of transmitting national identification number via various communication channels like SMS, email, and Box office. It introduces permutation technique utilizing Gamma 1 Non-Deranged Permutation group, ensuring confidentiality information. By employing 11 factorial (11!) permutations, is transformed into mixed format for unintended recipients, yet remains easily decrypted by intended recipient. approach mitigates concerns regarding data...