Results 151 to 160 of about 507,719 (274)

Insight‐Guided Optimization of the Individual Steps in Ambient Slot‐Die‐Coated Perovskite Solar Cells

Advanced Energy and Sustainability Research, EarlyView.
This graphical abstract presents an integrated workflow for optimizing perovskite thin film fabrication by tuning ink rheology, refining processing parameters, and controlling crystallization. Viscosity control and process optimization precisely regulate wet film thickness and drying time, while crystallization directed by solvent additives yields ...
Alejandra Flórez, Jhoan Ruiz, Juan Felipe Montoya, Rafael Betancur, Michael Götte, Edgar Nandayapa, Eva Unger, Daniel Ramírez, Franklin Jaramillo   +8 more
wiley   +1 more source

Electric vehicles charging stations load forecasting based on hybrid XGBoost-BiLSTM model. [PDF]

Sci Rep
Mansour HSE, Mohamed AS, Abdel-Aziz M.
europepmc   +1 more source

Development, Nutritional Evaluation, and Shelf‐Life Study of a Jackfruit‐Based Meat Analogue Enriched With Legumes and Spirulina

AgriFood: Journal of Agricultural Products for Food, EarlyView.
A jackfruit‐based meat analog enriched with legumes and spirulina was developed, optimized, and evaluated for sensory, nutritional, and shelf‐life qualities. The best formulation offered superior taste, texture, nutrient density, and maintained safety and quality for up to 60 days under frozen storage. ABSTRACT This study focuses on the development and
Hannah Mary Thomas, Kanicheril Ambikalekshmi Anju   +1 more
wiley   +1 more source

Evaluating a ballistocardiography derived respiratory rate algorithm through comprehensive clinical validation across multiple settings. [PDF]

Sci Rep
Chokalingam K, Saravanan M, Kaushal A, Bhavana S, Rahman IU, Nambiar A, Dandwate M, Mahajan R, Sarkar K, Kothari Y, Parchani G.   +10 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Deep learning-based lung volume estimation with dynamic chest radiography. [PDF]

J Appl Clin Med Phys
Ishihara N, Tanaka R, Kikuno H, Ohkura N, Matsumoto I.   +4 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Long-term fate of long QT syndrome patients diagnosed in childhood and differential effects of beta-blockers. [PDF]

Front Cardiovasc Med
Tavačová T, Kubuš P, Peldová P, Pavlíková M, Macek M, Krebsová A, Janoušek J.   +6 more
europepmc   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

A developmental stage-aware graph transformer framework for automated bone-age assessment. [PDF]

Quant Imaging Med Surg
Cao K, Liu C, Du J, Duan L, Li L, Ma Y, Jung H.   +6 more
europepmc   +1 more source