Results 91 to 100 of about 15,675 (200)

Local Quadrupole Ellipticity as Predictor of Anion‐Affinity in Nanographenes

Journal of Computational Chemistry, Volume 47, Issue 13, 15 May 2026.
Anion affinity in nanographenes arises from anion–π interactions in electron‐deficient regions and CH‐‐‐anion hydrogen bonds in electron‐rich domains. Quadrupole moments help describe these interactions but have limitations in polycyclic systems. A regression model based on local quadrupole ellipticity predicts binding energies, highlighting local ...
Omkar Charapale, Sergio Posada‐Pérez, Albert Poater, Miquel Solà   +3 more
wiley   +1 more source

Boron Neutron Capture Therapy at a Crossroads: Translational Gap and Emerging Delivery Agents

Chemistry – A European Journal, Volume 32, Issue 17, 5 May 2026.
This review surveys recent advances in boron delivery agents for BNCT, emphasizing the shift from classical small molecules to multifunctional nanocarriers and theranostic systems. By integrating targeting, imaging, and therapy, next‐generation boron compounds aim to bridge the gap between (bio)chemical innovation and clinical translation.
Christoph Selg, Evamarie Hey‐Hawkins
wiley   +1 more source

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain, Li Xiuting, Randall Ang Jie, Keertana Vinod Ram, Mark Teo Ju Teng, Valerie Xinhui Teo, Malini Olivo, U. S. Dinish   +7 more
wiley   +1 more source

Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems

Energies
This paper demonstrates how artificial intelligence can be implemented in order to predict the energy needs of daily households using both multilinear regression (MLR) and single linear regression (SLR) methods.
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi, Jeong Hwan Bae   +3 more
doaj   +1 more source

Monitoring of haematopoietic stem cell mobilization by targeted DNA methylation analysis for the British Journal of Haematology

British Journal of Haematology, EarlyView.
Wouter H. G. Hubens, Anke Diehlmann, Patrick Wuchter, Wolfgang Wagner   +3 more
wiley   +1 more source

Maize responses to planting date and seasonal weather factors in central Texas

Agronomy Journal, Volume 118, Issue 3, May/June 2026.
Abstract Maize (Zea mays L.) productivity in Central Texas is highly vulnerable to erratic rainfall and high temperatures during the growing season. Optimizing planting date is therefore essential for maximizing grain yield under these challenging climatic conditions.
Bala Ram Sapkota, Gurjinder S. Baath, Kabindra Adhikari, Chad Hajda, K. Colton Flynn, Douglas R. Smith, Ronnie W. Schnell, Seth C. Murray   +7 more
wiley   +1 more source

Urban Traumatic Moving Injuries Before and During SARS-CoV-2: A Multilinear Regression Analysis. [PDF]

Cureus, 2023
Jung G, Giordano V, Harrington T, Jung L.   +3 more
europepmc   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

The Canadian Journal of Chemical Engineering, Volume 104, Issue 5, Page 2401-2415, May 2026.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

Prediction of Cell Migration in MDA-MB 231 and MCF-7 Human Breast Cancer Cells Treated with Albizia Lebbeck Methanolic Extract Using Multilinear Regression and Artificial Intelligence-Based Models. [PDF]

Pharmaceuticals (Basel), 2023
Umar H, Rizaner N, Usman AG, Aliyu MR, Adun H, Ghali UM, Uzun Ozsahin D, Abba SI.   +7 more
europepmc   +1 more source

Association Between Hydration Status, Nutrition, and Cognitive Performance in School‐Age Children in Kumasi, Ghana: A Cross‐Sectional Study

Health Science Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background Adequate hydration is essential for maintaining good health and optimal cognition in school‐age children. Adequate water intake enhances metabolic and physiological processes, yet school‐age children are vulnerable to dehydration.
Nathaniel A. Commey, Janice O. Anum, Boniface Daayi, Naab Justine T‐Baliana Martha, Andrews Baah, Marina A. Tandoh   +5 more
wiley   +1 more source