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Science News and Member Spotlight

Scientific news reports, society updates, and weekly membership spotlight features from NSPS.

All Scientific News Reports Weekly Membership Spotlight Announcements

Scientific News Report

𝗔 𝗖𝗼𝗺𝗽𝗮𝗿𝗮𝘁𝗶𝘃𝗲 𝗦𝘁𝘂𝗱𝘆 𝗼𝗳 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 𝗳𝗼𝗿 𝗣𝗮𝗿𝘁𝗶𝗰𝘂𝗹𝗮𝘁𝗲 𝗠𝗮𝘁𝘁𝗲𝗿 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗟𝘂𝗴𝗯𝗲, 𝗙𝗖𝗧 𝗔𝗯𝘂𝗷𝗮, 𝗡𝗶𝗴𝗲𝗿𝗶𝗮

November 10, 2026 • Mr. E. O. Adamu

A recent study published in African Scientific Reports compared RNN, LSTM, and CNN–BiLSTM architectures for predicting PM₂.₅ and PM₁₀ concentrations in Lugbe, FCT Abuja, Nigeria. The models were trained using more than 1.2 million air-quality and meteorological data entries and used two-hour sliding windows to generate short-term forecasts. All three models performed strongly for PM₂.₅, achieving R² values above 0.90, while Model 2, based on LSTM, produced the most balanced results with an MAE of 2.898 µg/m³, RMSE of 6.453 µg/m³, MAPE of 7.7013%, and R² of 0.9166. PM₁₀ prediction was more difficult, with R² values ranging from 0.7037 to 0.7348, although Model 2 again achieved the best overall generalization with the lowest RMSE and highest R². The findings show that deep learning is effective for particulate-matter forecasting in Lugbe, particularly for PM₂.₅, while the greater variability of PM₁₀ remains a challenge for accurate prediction.

Scientific News Report

𝐀𝐈 𝐇𝐞𝐥𝐩𝐬 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐁𝐢𝐨𝐧𝐢𝐜 𝐕𝐢𝐬𝐢𝐨𝐧 𝐛𝐲 𝐃𝐞𝐜𝐨𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐁𝐫𝐚𝐢𝐧’𝐬 𝐕𝐢𝐬𝐮𝐚𝐥 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞𝐬

November 10, 2026 • V. Dansuleiman

An international team of researchers from the University of California, Santa Barbara (UCSB), ETH Zurich and Miguel Hernández University in Spain has demonstrated how artificial intelligence can improve the precision of electrical stimulation delivered to the human visual cortex. The researchers used deep learning to predict and control neural responses in a blind participant, achieving more accurate stimulation of targeted brain activity while requiring less electrical current than comparison approaches.

Scientific News Report

𝗣𝗲𝘀𝘁𝗶𝗰𝗶𝗱𝗲𝘀 𝗞𝗶𝗻𝗲𝗺𝗮𝘁𝗶𝗰 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝗶𝗲𝘀 𝗡𝗲𝘅𝘂𝘀 𝘁𝗼 𝗔𝗾𝘂𝗲𝗼𝘂𝘀 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝗘𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝗙𝗼𝗼𝗱𝘀𝘁𝘂𝗳𝗳𝘀 𝗕𝗲𝗳𝗼𝗿𝗲 𝗙𝗼𝗼𝗱

November 9, 2026 • Mr. E. O. Adamu

A recent study published in African Scientific Reports investigated whether the physical and chemical behaviour of common grain-storage pesticides could be used to reduce pesticide residues in foodstuffs through simple aqueous treatment. The researchers studied white beans, red guinea corn, and white maize treated with aluminium phosphide, dichlorvos with chlorpyrifos, and permethrin, focusing on properties such as solubility, density, thermal volatility, and sorption. Dichlorvos with chlorpyrifos showed low aqueous solubility, low density, and high volatility, allowing it to be mobilized and removed through hot-water treatment and decantation, while permethrin and aluminium phosphide required repeated washing and sieving because of their different density and solubility behaviour. Market samples analysed before and after treatment showed substantial reductions in pesticide residues, with many concentrations falling below detection limits or to very low levels. The findings suggest that hot aqueous treatment, decantation, and repeated washing can exploit pesticide kinematic properties to reduce residues in stored grains before cooking.

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐚 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥 𝐒𝐩𝐚𝐜𝐞–𝐓𝐢𝐦𝐞 𝐋𝐢𝐦𝐢𝐭 𝐓𝐡𝐚𝐭 𝐂𝐨𝐮𝐥𝐝 𝐄𝐧𝐚𝐛𝐥𝐞 𝐄𝐥𝐞𝐜𝐭𝐫𝐨𝐧𝐢𝐜𝐬 𝟏𝟎𝟎,𝟎𝟎𝟎 𝐓𝐢𝐦𝐞𝐬 𝐅𝐚𝐬𝐭𝐞𝐫

November 9, 2026 • V. Dansuleiman

An international team of researchers led by scientists at the University of Regensburg in Germany has experimentally demonstrated a fundamental relationship between how precisely electrons can be controlled in space and how accurately their motion can be resolved in time. The discovery reveals a quantum-mechanical trade-off: as researchers increase the precision with which they control the timing of an electron's motion, its quantum wave packet becomes more widely distributed in space. This relationship, described as a space–time limit, provides new insight into the fundamental constraints governing electron behaviour at extremely small distances and short timescales.

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚 𝐍𝐞𝐰 𝐌𝐞𝐭𝐡𝐨𝐝 𝐭𝐨 𝐑𝐞𝐚𝐝 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐖𝐢𝐭𝐡 𝟗𝟗.𝟖𝟓% 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲

November 9, 2026 • V. Dansuleiman

Researchers from the University of São Paulo in Brazil and the Beijing Institute of Technology in China have proposed a new technique for reading quantum information while minimising disturbances to the quantum states being measured. The approach uses an electrical signal generated by a specialised quantum bit, known as an Andreev qubit, to reconstruct its quantum state without directly measuring it. In computer simulations, the proposed technique achieved state-reconstruction accuracies of up to 99.85%, suggesting that it could provide a highly accurate method for retrieving quantum information while reducing the need for auxiliary qubits.

Scientific News Report

𝗡𝗲𝘂𝘁𝗿𝗼𝘀𝗼𝗽𝗵𝗶𝗰 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝗶𝘇𝗲𝗱 𝗧𝗶𝗺𝗲-𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗦𝗼𝗳𝘁 𝗦𝗲𝘁𝘀: 𝗧𝗵𝗲𝗼𝗿𝘆, 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝗶𝗲𝘀, 𝗮𝗻𝗱 𝗮 𝗧𝗢𝗣𝗦𝗜𝗦-𝗕𝗮𝘀𝗲𝗱 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻

November 6, 2026 • Mr. E. O. Adamu

A recent study published in the Journal of the Nigerian Society of Physical Sciences introduced the neutrosophic parameterized time-effective soft set, N-PTEFSS, for decision problems involving time-dependent uncertainty and post-assessment confirmatory evidence. The framework introduces a Λ-adjustment that operates directly on truth, indeterminacy, and falsity values, increasing truth while reducing indeterminacy and falsity as stronger external evidence becomes available. The researchers proved that the adjustment preserves the neutrosophic bound T + I + F ≤ 3 and satisfies important properties including monotonicity, continuity, and order preservation. A neutrosophic TOPSIS procedure was then applied to a medical-diagnosis ranking problem. While time-weighting alone left the leading alternative unchanged, incorporating confirmatory evidence reversed the top two rankings, demonstrating that evidence arriving after the initial assessment can materially affect the final decision. The findings show that N-PTEFSS extends earlier fuzzy time-effective models while providing a more suitable framework for decisions in which indeterminacy cannot be ignored.

Weekly Membership Spotlight

🌟 𝐒𝐏𝐎𝐓𝐋𝐈𝐆𝐇𝐓 𝐌𝐄𝐌𝐁𝐄𝐑 𝐎𝐅 𝐓𝐇𝐄 𝐖𝐄𝐄𝐊: 𝐃𝐑. 𝐃𝐀𝐕𝐈𝐃𝐒𝐎𝐍 𝐎𝐃𝐀𝐅𝐄 𝐀𝐊𝐏𝐎𝐎𝐓𝐔

November 6, 2026 • NSPS Secretariat

The Nigerian Society of Physical Sciences (NSPS) is pleased to celebrate 𝐃𝐫. 𝐃𝐚𝐯𝐢𝐝𝐬𝐨𝐧 𝐎𝐝𝐚𝐟𝐞 𝐀𝐤𝐩𝐨𝐨𝐭𝐮, our Spotlight Member of the Week, an Associate Professor of Atmospheric Physics at Usmanu Danfodiyo University, Sokoto, Nigeria, whose research explores how atmospheric processes influence solar energy availability, environmental conditions, and technological development.

Scientific News Report

𝐀𝐫𝐜𝐡𝐚𝐞𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐢𝐧 𝐎𝐫𝐞𝐠𝐨𝐧

November 5, 2026 • Dr. O. O. Efemena

A remarkable archaeological discovery in Oregon, United States, is providing new insights into the technological skills and survival strategies of ancient humans. Researchers have...

Scientific News Report

𝐀 𝐫𝐞𝐦𝐚𝐫𝐤𝐚𝐛𝐥𝐞 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐢𝐬 𝐨𝐩𝐞𝐧𝐢𝐧𝐠 𝐚 𝐧𝐞𝐰 𝐰𝐢𝐧𝐝𝐨𝐰 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐞𝐧𝐞𝐫𝐠𝐞𝐭𝐢𝐜 𝐚𝐧𝐝 𝐦𝐲𝐬𝐭𝐞𝐫𝐢𝐨𝐮𝐬 𝐞𝐯𝐞𝐧𝐭𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐮𝐧𝐢𝐯𝐞𝐫𝐬𝐞

November 5, 2026 • Dr. O. O. Efemena

Scientists using the IceCube Neutrino Observatory in Antarctica are studying high-energy neutrinos, often called “ghost particles,” some of which carry approximately 10 billion...

Scientific News Report

𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐚 𝐍𝐞𝐰 𝐖𝐚𝐲 𝐭𝐨 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐌𝐚𝐠𝐧𝐞𝐭𝐢𝐬𝐦 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐚 𝐌𝐚𝐭𝐞𝐫𝐢𝐚𝐥’𝐬 𝐂𝐡𝐞𝐦𝐢𝐬𝐭𝐫𝐲

November 5, 2026 • V. Dansuleiman

Researchers at the U.S. Department of Energy's Oak Ridge National Laboratory (ORNL) and collaborating institutions have demonstrated that applying mechanical strain to certain magnetic crystals can change their magnetic organisation and influence their electrical behaviour without altering their chemical composition. The discovery focuses on altermagnets, an emerging class of magnetic materials being investigated for advanced electronic technologies. By applying pressure to small crystals of manganese telluride and iron sulfide, the researchers observed changes in magnetic domain populations and an associated electrical response.

Scientific News Report

𝗦𝗺𝗮𝗿𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗜𝗺𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: 𝗔 𝗦𝘆𝘀𝘁𝗲𝗺𝗮𝘁𝗶𝗰 𝗟𝗶𝘁𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗥𝗲𝘃𝗶𝗲𝘄

November 5, 2026 • Mr. E. O. Adamu

A recent study published in African Scientific Reports systematically reviewed the use of computer vision and image processing in smart automation across manufacturing, healthcare, agriculture, infrastructure, and edge-computing applications. Using OpenAlex, the researchers identified eight empirical studies published between 2013 and 2025 that reported quantitative outcomes such as classification accuracy, average precision, throughput, defect rate, and processing speed. The reviewed studies showed promising results, including up to 99% classification accuracy in agricultural pest detection, 93.73% recognition in truck auditing, increased manufacturing throughput, and more than 95% surgical-tool identification in a simulated healthcare setting. However, the studies differed substantially in their datasets, metrics, hardware, and operating environments, preventing the results from being combined into a single overall performance estimate. The review concludes that computer vision can support specific forms of automated decision-making, but broader deployment still requires stronger external validation, real-world performance testing, robustness assessment, and clearer evaluation of the complete sensing-to-decision process.

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐀𝐈 𝐀𝐭𝐦𝐨𝐬𝐩𝐡𝐞𝐫𝐢𝐜 𝐌𝐨𝐝𝐞𝐥𝐬 𝐭𝐨 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞 𝐚𝐧𝐝 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐖𝐞𝐚𝐭𝐡𝐞𝐫 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐬

November 5, 2026 • V. Dansuleiman

Researchers at Lawrence Livermore National Laboratory (LLNL) are developing machine-learning-based atmospheric emulators designed to accelerate Earth system simulations and improve predictions of weather patterns over periods ranging from months to years. The research focuses on replacing some of the computationally intensive calculations used in conventional atmospheric models with artificial intelligence systems trained to reproduce the behaviour of high-resolution physics simulations.

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚 𝐏𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐍𝐞𝐰 𝐌𝐞𝐭𝐡𝐨𝐝 𝐭𝐨 𝐃𝐞𝐬𝐭𝐫𝐨𝐲 𝐓𝐨𝐱𝐢𝐜 “𝐅𝐨𝐫𝐞𝐯𝐞𝐫 𝐂𝐡𝐞𝐦𝐢𝐜𝐚𝐥𝐬”

November 4, 2026 • V. Dansuleiman

Researchers at Arizona State University and collaborating institutions have developed a water-treatment technology capable of chemically breaking down persistent pollutants known as per- and polyfluoroalkyl substances (PFAS), commonly called “forever chemicals.” Unlike conventional treatment methods that primarily capture these contaminants, the new system uses palladium-coated membrane fibres and hydrogen to attack the strong chemical bonds responsible for their environmental persistence.

Scientific News Report

𝗥𝗶𝗰𝗲 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝗖𝗼𝗻𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗮𝗹 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

November 4, 2026 • Mr. E. O. Adamu

A recent study published in the Journal of the Nigerian Society of Physical Sciences compared three custom convolutional neural network architectures with four transfer-learning models for classifying 20 rice varieties. Using the Bangladesh rice dataset, the researchers examined both the original image set and an enlarged training dataset created through data augmentation. Custom Architecture 1 achieved the highest overall accuracy of 98.51% on the combined dataset, improving substantially from 87.94% on the original dataset. Among the transfer-learning models, ResNet50 performed best on the original dataset, while VGG16 achieved the highest transfer-learning accuracy of 97.87% on the combined dataset. The study also found that larger training data combined with high-resolution images produced the strongest performance, showing that classification accuracy depends not only on model design but also on the interaction between dataset size and image resolution. Overall, the findings support deep learning as a promising approach for automated rice-variety identification and quality-control applications.

Scientific News Report

𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗦𝗮𝗳𝗲𝘁𝘆: 𝗔𝗻 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗱 𝗧𝗼𝗺𝗼𝗴𝗿𝗮𝗽𝗵𝘆 𝗗𝗼𝘀𝗲-𝗟𝗲𝗻𝗴𝘁𝗵 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗩𝗮𝗿𝗶𝗮𝘁𝗶𝗼𝗻𝘀 𝗔𝗰𝗿𝗼𝘀𝘀 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹𝘀 𝗶𝗻 𝗔𝗯𝘂𝗷𝗮, 𝗡𝗶𝗴𝗲𝗿𝗶𝗮

November 3, 2026 • Mr. E. O. Adamu

A recent study published in Recent Advances in Natural Sciences evaluated computed tomography dose-length product across ten hospitals in Abuja, Nigeria, to assess variation in patient radiation exposure. Using standard chest and head phantoms, a pencil ionization chamber, an electrometer, and a CT probe, the researchers found substantial differences in measured dose between facilities. Chest DLP values ranged from 79.36 ± 0.001 mGy·cm to 677.40 ± 0.01 mGy·cm, while head values ranged from 230.14 ± 0.004 mGy·cm to 1165.73 ± 0.3 mGy·cm. Most facilities remained below the European diagnostic reference levels used for comparison, but Hospital D exceeded the chest limit, while Hospitals E and I exceeded the head limit. The findings indicate considerable variation in scanning protocols and support the need for routine quality control, equipment calibration, standardized CT protocols, operator training, and stronger application of the ALARA principle to reduce unnecessary radiation exposure.

Scientific News Report

𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗮𝗰𝗶𝗲𝘀 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗢𝗶𝗹 𝗮𝗻𝗱 𝗚𝗮𝘀 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻

November 3, 2026 • Mr. E. O. Adamu

A recent study published in the Journal of the Nigerian Society of Physical Sciences investigated machine-learning-based facies classification using a Hybrid Explainable Transformer Framework that combines CNN, BiLSTM, and Transformer branches with SHAP explainability and Monte Carlo Dropout uncertainty estimation. Using 830 samples from two wells in the SEG 2016 dataset, the researchers corrected data leakage caused by random splitting of overlapping windows and adopted blocked five-fold cross-validation. Under this leakage-free protocol, HETF achieved 58% mean accuracy across repeated runs, while a controlled model comparison showed that Transformer-only, XGBoost, and Random Forest all outperformed the full hybrid architecture. The findings indicate that branch fusion does not justify its additional complexity at this dataset scale and highlight the risk of inflated performance estimates when leakage is not properly controlled. Preliminary SHAP analysis identified deep resistivity, neutron porosity, and gamma ray as the most influential features, reinforcing the study’s emphasis on reproducible, interpretable, and methodologically valid machine-learning workflows for facies classification.

Scientific News Report

𝐓𝐡𝐞 𝐇𝐢𝐝𝐝𝐞𝐧 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐨𝐟 𝐀𝐥𝐳𝐡𝐞𝐢𝐦𝐞𝐫’𝐬 𝐃𝐢𝐬𝐞𝐚𝐬𝐞 𝐂𝐨𝐮𝐥𝐝 𝐇𝐞𝐥𝐩 𝐆𝐮𝐢𝐝𝐞 𝐍𝐞𝐰 𝐓𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭𝐬

November 3, 2026 • V. Dansuleiman

Mathematics is providing researchers with a new way to investigate Alzheimer's disease, particularly the role of common metals in the accumulation of proteins associated with the condition. Scientists at Mississippi State University have developed a mathematical model that examines how copper and zinc influence amyloid-beta aggregation and how potential therapeutic approaches might interfere with this process. The research, led by Dr. Shantia Yarahmadian, an associate professor in the Department of Mathematics and Statistics at Mississippi State University, was published in the Bulletin of Mathematical Biology.

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐋𝐚𝐬𝐞𝐫-𝐁𝐚𝐬𝐞𝐝 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞 𝐓𝐡𝐚𝐭 𝐂𝐨𝐮𝐥𝐝 𝐌𝐚𝐤𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐌𝐞𝐦𝐨𝐫𝐲 𝟏,𝟎𝟎𝟎 𝐓𝐢𝐦𝐞𝐬 𝐅𝐚𝐬𝐭𝐞𝐫

November 2, 2026 • V. Dansuleiman

Researchers at the University of California San Diego have developed a new technique for controlling magnetic information using precisely engineered laser light, potentially opening the way for faster, smaller and more energy-efficient digital memory devices. The study, published in Nature Communications, demonstrates how carefully reshaping and reducing the size of an ultrafast laser beam can switch magnetic states in a material without applying an external magnetic field. According to the researchers, optical switching could potentially operate more than 1,000 times faster than conventional magnetic switching methods. The findings also overcome two important limitations that previously restricted the development of light-controlled magnetic memory.

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 𝐁𝐫𝐞𝐚𝐤𝐬 𝐚 𝐃𝐞𝐜𝐚𝐝𝐞𝐬-𝐎𝐥𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐁𝐚𝐫𝐫𝐢𝐞𝐫 𝐖𝐢𝐭𝐡 𝐚 𝐅𝐚𝐬𝐭𝐞𝐫, 𝐌𝐨𝐫𝐞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐒𝐡𝐨𝐫𝐭𝐞𝐬𝐭-𝐏𝐚𝐭𝐡 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦

November 2, 2026 • V. Dansuleiman

A computer scientist at the Indian Institute of Technology Gandhinagar (IIT Gandhinagar) has developed an improved algorithm that addresses a longstanding limitation in calculating shortest distances across large networks. The breakthrough extends a mathematical accuracy guarantee to closely connected points while preserving the computational efficiency of an influential algorithm introduced in 1996. The research, led by Dr. Manoj Gupta, Associate Professor at IIT Gandhinagar, focuses on the All-Pairs Shortest Paths (APSP) problem, a fundamental challenge in computer science that involves determining the shortest distance between every possible pair of points in a network. By introducing a more sophisticated method for sampling network connections at multiple scales, Gupta improved the reliability of approximate distance calculations without increasing the algorithm's overall computational complexity.

Scientific News Report

𝗖𝗼𝗺𝗽𝗮𝗿𝗮𝘁𝗶𝘃𝗲 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗥𝗜𝗠𝗔 𝗮𝗻𝗱 𝗘𝗧𝗦 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗦𝗵𝗼𝗿𝘁-𝗧𝗲𝗿𝗺 𝗪𝗶𝗻𝗱 𝗦𝗽𝗲𝗲𝗱 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗔𝗰𝗿𝗼𝘀𝘀 𝗧𝘄𝗲𝗹𝘃𝗲 𝗠𝗲𝘁𝗲𝗼𝗿𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗣𝗮𝗸𝗶𝘀𝘁𝗮𝗻 𝗨𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴-𝗪𝗶𝗻𝗱𝗼𝘄 𝗠𝗲𝘁𝗵𝗼𝗱

November 2, 2026 • Mr. E. O. Adamu

A recent study published in African Scientific Reports compared ARIMA and ETS models for seven-day-ahead wind-speed forecasting across twelve meteorological stations in Pakistan. The researchers used an expanding-window validation approach with ten successive training-test splits, allowing both models to be repeatedly updated as new observations became available. Forecast performance was evaluated using RMSE and MAPE, with a naïve model serving as a benchmark and the Diebold–Mariano test used to compare forecast errors. ARIMA performed better at seven stations, ETS at two, while both models produced similar results at three stations. The Diebold–Mariano test also generally supported the stronger performance of ARIMA. Overall, the findings suggest that ARIMA is the more consistent model for short-term wind-speed forecasting across the analysed stations, although location-specific differences indicate that model selection may still need to be tailored to individual stations.

Weekly Membership Spotlight

🌟 𝐒𝐏𝐎𝐓𝐋𝐈𝐆𝐇𝐓 𝐌𝐄𝐌𝐁𝐄𝐑 𝐎𝐅 𝐓𝐇𝐄 𝐖𝐄𝐄𝐊: 𝐃𝐑. 𝐔𝐃𝐔𝐀𝐊𝐎𝐁𝐎𝐍𝐆 𝐒𝐔𝐍𝐃𝐀𝐘 𝐎𝐊𝐎𝐑𝐈𝐄

October 30, 2026 • Goodness Nkankeya

What began in 2007 with a young physicist graduating from the University of Uyo has developed into a distinguished research career spanning quantum mechanics, molecular physics, condensed-matter physics, and computational modelling.

Scientific News Report

𝗦𝗽𝗮𝗿𝘀𝗲 𝗗𝗼𝗺𝗮𝗶𝗻-𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝗲𝗱 𝗡𝗲𝘂𝗿𝗼𝗻 𝗔𝗰𝘁𝗶𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝗖𝗿𝗼𝘀𝘀-𝗕𝗮𝗰𝗸𝗯𝗼𝗻𝗲 𝗘𝗺𝗽𝗶𝗿𝗶𝗰𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻

October 30, 2026 • Mr. E. O. Adamu

A recent study published in the Journal of the Nigerian Society of Physical Sciences introduced NEUROBALANCE, a domain-conditioned sparse-activation framework for improving the efficiency of multimodal transformer networks. The method combines per-head attention reweighting, sparse feed-forward neuron gating, and retention regularisation, all driven by a soft domain embedding derived from the input. Tested on LLaVA-NeXT-7B and InstructBLIP across PMC-VQA, PathVQA, and LingoQA, the framework reduced forward-pass FLOPs by 36.4% and 36.6%, latency by 32.4% and 36.1%, and peak memory by 18.1% and 25.8%, respectively. Benchmark accuracy was preserved, with small mean gains of 0.6 and 0.5 percentage points. Energy use also fell by at least 32.4%, rising to a 43.9% reduction when measured power was considered, with an estimated saving of 58.5 kg CO₂-equivalent per million inferences. The consistency of these gains across two different backbones suggests that the efficiency improvements arise from architectural conditioning rather than from a specific model design.

Scientific News Report

𝗛𝗲𝗮𝘃𝘆 𝗠𝗲𝘁𝗮𝗹 𝗖𝗼𝗻𝘁𝗮𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗧𝗮𝗹𝗼𝗸𝗮 𝗮𝗻𝗱 𝗪𝘂𝗿𝗻𝗼 𝗔𝗾𝘂𝗶𝗳𝗲𝗿𝘀, 𝗦𝗼𝗸𝗼𝘁𝗼 𝗕𝗮𝘀𝗶𝗻, 𝗡𝗼𝗿𝘁𝗵𝘄𝗲𝘀𝘁𝗲𝗿𝗻 𝗡𝗶𝗴𝗲𝗿𝗶𝗮

October 30, 2026 • Mr. E.O. Adamu

A recent study published in the Journal of the Nigerian Society of Physical Sciences assessed heavy metal contamination in the Taloka and Wurno aquifers of the Sokoto Basin, northwestern Nigeria. By integrating field mapping, borehole logging, and groundwater-quality analysis, the researchers found distinct contamination patterns between the two aquifers. Elevated iron in the Taloka aquifer was linked to the possible dissolution of iron-rich lithologies, while the Wurno aquifer showed relatively higher lead and arsenic concentrations that may be influenced by redox reactions in overlying organic-rich shales and limestones. The Wurno aquifer was also considered more vulnerable to surface contamination because of its shallower stratigraphic position. Arsenic and lead exceeded WHO drinking-water limits in a substantial number of samples from both aquifers, suggesting a combination of geogenic and anthropogenic influences and highlighting the need for continuous monitoring, targeted treatment, and sustainable aquifer management.

Scientific News Report

𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗳 𝗡𝘂𝗰𝗹𝗲𝗮𝗿 𝗠𝗮𝗴𝗻𝗲𝘁𝗶𝗰 𝗥𝗲𝘀𝗼𝗻𝗮𝗻𝗰𝗲 𝗥𝗲𝗹𝗮𝘅𝗮𝘁𝗶𝗼𝗻 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀 𝗼𝗳 𝗥𝗮𝗿𝗲 𝗗𝗲𝗼𝘅𝘆𝗿𝗶𝗯𝗼𝗻𝘂𝗰𝗹𝗲𝗶𝗰 𝗔𝗰𝗶𝗱 𝗜𝗻𝘁𝗲𝗿𝗺𝗲𝗱𝗶𝗮𝘁𝗲𝘀

October 29, 2026 • Mr. E. O. Adamu

A recent study published in the Journal of the Nigerian Society of Physical Sciences examined whether nuclear magnetic resonance T₁ and T₂ relaxation parameters can help distinguish rare DNA intermediate structures. The researchers analysed five DNA structures using published experimental relaxation data, from which 500 simulated observations were generated for each structure using an R script. Non-parametric statistical analysis showed that the five structures had distinct T₁ and T₂ characteristics and that significant differences existed among them. Pairwise comparisons further indicated that some structures were more clearly differentiated by T₂ than by T₁, while several G-quadruplex structures showed more similar relaxation behaviour. Effect-size analysis also revealed substantial differences for some structure pairs. Overall, the findings suggest that NMR relaxation parameters may provide useful statistical signatures for characterizing rare DNA intermediates involved in transcription, replication, recombination, and repair, although validation with larger experimental datasets is still needed

Scientific News Report

𝐒𝐂𝐈𝐄𝐍𝐓𝐈𝐒𝐓𝐒 𝐃𝐄𝐕𝐄𝐋𝐎𝐏 𝐎𝐏𝐄𝐑𝐀𝐓𝐈𝐍𝐆 𝐍𝐔𝐂𝐋𝐄𝐀𝐑 𝐂𝐋𝐎𝐂𝐊𝐒

October 29, 2026 • Dr. O. O. Efemena

What if scientists could measure time using the nucleus of an atom rather than the movement of its electrons? In October 2026, research teams in Vienna, Austria, and Beijing, China...

Scientific News Report

𝐂𝐋𝐄𝐀𝐍 𝐄𝐋𝐄𝐂𝐓𝐑𝐈𝐂𝐈𝐓𝐘 𝐅𝐑𝐎𝐌 𝐍𝐔𝐂𝐋𝐄𝐀𝐑 𝐅𝐔𝐒𝐈𝐎𝐍

October 29, 2026 • Dr. O. O. Efemena

Imagine producing electricity using the same fundamental process that powers the Sun! Nuclear fusion is one of the most exciting frontiers in modern physics. Unlike conventional nu...

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐍𝐞𝐰 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐟𝐨𝐫 𝐒𝐦𝐚𝐥𝐥𝐞𝐫, 𝐋𝐢𝐠𝐡𝐭𝐞𝐫 𝐚𝐧𝐝 𝐋𝐨𝐧𝐠𝐞𝐫-𝐋𝐚𝐬𝐭𝐢𝐧𝐠 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐁𝐚𝐭𝐭𝐞𝐫𝐢𝐞𝐬

October 28, 2026 • V. Dansuleiman

Researchers at the Korea Advanced Institute of Science and Technology (KAIST) have developed a new approach to improving the lifespan of next-generation lithium batteries, potentially enabling electric vehicles to travel longer distances using smaller and lighter battery packs. The breakthrough addresses a major limitation of anode-free lithium metal batteries, which offer the possibility of storing more energy in less space but frequently suffer from rapid deterioration during repeated charging and discharging.

Scientific News Report

𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐬𝐞 𝐑𝐚𝐫𝐞-𝐄𝐚𝐫𝐭𝐡 𝐌𝐞𝐭𝐚𝐥 𝐢𝐧 𝐚 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐂𝐚𝐠𝐞, 𝐎𝐩𝐞𝐧𝐢𝐧𝐠 𝐍𝐞𝐰 𝐏𝐨𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐟𝐨𝐫 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲

October 28, 2026 • V. Dansuleiman

Researchers at the University of Iowa have developed a method for stabilising an unusual oxidation state of terbium, a rare-earth metal widely used in modern electronic and medical technologies. By enclosing the metal within specially designed molecular cages, the scientists successfully converted terbium into its less common +4 oxidation state under ordinary laboratory conditions. The achievement addresses a longstanding challenge in rare-earth chemistry, where the chemical similarities between elements make them difficult to separate and manipulate. The findings could contribute to more efficient rare-earth separation techniques while providing opportunities to investigate materials for quantum computing and advanced sensing technologies.

Scientific News Report

𝐑𝐮𝐭𝐠𝐞𝐫𝐬 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐢𝐚𝐧 𝐇𝐞𝐥𝐩𝐬 𝐒𝐨𝐥𝐯𝐞 𝐓𝐰𝐨 𝐋𝐨𝐧𝐠𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐢𝐧 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬

October 27, 2026 • V. Dansuleiman

A mathematics professor at Rutgers University–New Brunswick has helped resolve two major problems that challenged mathematicians for decades, marking significant advances in the understanding of mathematical symmetry and representation theory. Professor Pham Huu Tiep, the Joshua Barlaz Distinguished Professor of Mathematics in the Rutgers School of Arts and Sciences, contributed to the proof of Brauer's Height Zero Conjecture, a mathematical problem proposed in 1955. In a separate achievement, he collaborated with other mathematicians to solve a difficult problem associated with Deligne–Lusztig theory, an important area of representation theory.

Scientific News Report

𝐂𝐚𝐦𝐛𝐫𝐢𝐝𝐠𝐞 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚 $𝟏𝟎 𝐎𝐩𝐭𝐢𝐜𝐚𝐥 𝐂𝐡𝐢𝐩 𝐓𝐡𝐚𝐭 𝐂𝐨𝐮𝐥𝐝 𝐁𝐫𝐢𝐧𝐠 𝐋𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐲 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐭𝐨 𝐖𝐞𝐚𝐫𝐚𝐛𝐥𝐞 𝐃𝐞𝐯𝐢𝐜𝐞𝐬

October 27, 2026 • V. Dansuleiman

Researchers at the University of Cambridge, working with GlitterinTech, a start-up established by members of the research group, have developed a compact optical spectrometer that could make sophisticated chemical measurements more accessible. The device, estimated to cost approximately $10, uses a new optical architecture to analyse light with high precision while reducing the size, complexity and computational demands associated with conventional spectrometers. Measuring only a few centimetres across, the system could eventually be integrated into wearable health monitors, portable testing equipment and industrial sensors.