Computational Photochemistry has made great strides in recent decades, but the investigation of larger molecules remains a challenge due to the inherent dilemma between the increasing computational accuracy required as the molecule size increases and the inevitable explosion in computational effort.
Andreas Dreuw
wiley +1 more source
Optical soliton wave profiles for the (2 + 1)-dimensional complex modified Korteweg-de Vries system with the impact of fractional derivative via analytical approach. [PDF]
Khan MI +6 more
europepmc +1 more source
Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu +5 more
wiley +1 more source
Correction: Randomization in the age of platform trials: unexplored challenges and some potential solutions. [PDF]
Kuznetsova O +13 more
europepmc +1 more source
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou +4 more
wiley +1 more source
Abundant different types of soliton solutions for fractional modified KdV equation using auxiliary equation method. [PDF]
Hussain A +5 more
europepmc +1 more source
Rapid Steam‐Assisted Temperature Swing Adsorption for Direct Air Capture Using a Rotary Adsorber
This study presents a direct air capture (DAC) device based on a steam‐regeneration rotary adsorber for high‐purity CO2. Testing of the prototype demonstrates its capability for continuous and stable carbon capture with the potential to achieve ton‐scale.
Junye Wu +6 more
wiley +1 more source
Data-driven p-norms for estimating transmission loss coefficients in power systems. [PDF]
Montoya OD +2 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Sampled-data fuzzy [Formula: see text] estimators for control of nonlinear parabolic partial differential equations. [PDF]
Sivakumar M, Dharani S, Cao J.
europepmc +1 more source

