NSPS is a learned academic society promoting research, conferences, peer-reviewed publications, professional membership, prizes, and scientific recognition across the physical sciences.
NSPS is the main national body incorporated by the Corporate Affairs Commission of Nigeria to promote the study and research of Physical Sciences in Nigeria.
Supporting research, education, publication, and collaboration in physics, chemistry, mathematics, earth sciences, computer science, and related fields.
Eligible applicants can check requirements, make payment, upload CV and passport, generate an e-certificate, and request a hard copy certificate.
Members, fellows, reviewers, and award recipients can access modern verification and recognition services.
Explore NSPS journals, proceedings, and archival platforms designed to support scholarly communication across the physical and applied sciences.
Scientific news reports, society updates, and weekly membership spotlight features from NSPS.
Caltech scientists have brought fiber-optic-like performance onto silicon chips, paving the way for sharper lasers, quantum technologies, ultra-precise sensors, and more energy-efficient data centers.
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A recent systematic review published in African Scientific Reports examined the growing use of machine learning and deep learning for crop recommendation in precision agriculture. From 183 identified studies, 129 publications from 2020 to 2026 were selected using a PRISMA-based screening process. Random Forest and XGBoost emerged as leading approaches, while Support Vector Machines, Decision Trees, k-Nearest Neighbours, CNNs, and LSTMs were also widely applied. Common inputs included nitrogen, phosphorus, potassium, soil pH, weather conditions, and vegetation indices such as NDVI and EVI. Despite high reported predictive accuracy, the review identified important limitations involving static datasets, limited real-time deployment, poor cross-regional validation, weak multi-source data integration, and model interpretability. The authors recommend more scalable, explainable, and real-world-ready crop recommendation systems.
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A recent study published in African Scientific Reports examined ABO and Rhesus blood-group patterns among 6,933 clients of Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria. Blood group O was the most common ABO phenotype at 59.1%, followed by A at 19.6%, B at 18.7%, and AB at 2.7%, while 93.2% of clients were Rh-positive. O-positive was the most frequent combined phenotype at 54.9%, whereas AB-negative was the rarest at 0.2%. ABO distribution showed statistically significant but small differences by age and sex, while Rhesus status showed no significant association with either. The findings provide useful local baseline data for blood-inventory planning and donor recruitment, although the authors caution that the results should not be generalised beyond the hospital population.
Read reportNSPS provides a reviewer credit system and automatic certificate generation for qualified reviewers who support journals published or co-published by the Society.
Visit Reviewer CenterVisit the Reviewer Center and select the journal certificate you want to download.
Enter your journal username and registered email address to retrieve completed reviews.
Eligible reviewers can generate certificates and reviewer credit tokens according to NSPS conditions.