Results 201 to 210 of about 6,146,051 (311)

A critical review of porous adsorbents for air separation: From fundamental insights to rational adsorbent design

AIChE Journal, EarlyView.
Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang, Daisong Chen, Tianyi Zhang, Boyu Zhang, Ruiqiang Wang, Zhengdong Liu, Mei Hong, Youssef Belmabkhout, Qinfen Gu, Jin Shang   +9 more
wiley   +1 more source

Dental Undergraduate Students' Perceptions of Blended Learning in the COVID-19 and Post-COVID-19 Years: Survey Study. [PDF]

JMIR Form Res
Li X, Peng L, Tu H, Liu L, Han X, Ye L, Yang J.   +6 more
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Assessment of blended learning palliative care educational programme in cancer treatment centres in India. [PDF]

BMJ Support Palliat Care
Bhatnagar S, Mittal A, Ho S, Leong GC, Gupta R, Salins N.   +5 more
europepmc   +1 more source

Sociological insights: Designing pedagogically sound blended learning programs in enabling contexts

, 2023
Michelle Mansfield, Joel McGregor, Kate C. Mellor   +2 more
openalex   +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

Unlocking the potential of artificial intelligence in improving learning achievement in blended learning: a meta-analysis. [PDF]

Front Psychol
Wu J, Tlili A, Salha S, Mizza D, Saqr M, López-Pernas S, Huang R.   +6 more
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

The application of blended learning in obstetrics teaching: a comprehensive teaching model integrating an intelligent, interactive induction platform. [PDF]

Front Med (Lausanne)
Gu K, Pan H, Dong M, Chen X, Yuan H.
europepmc   +1 more source

Peculiarities of the application of blended learning at the dental faculty in the extreme conditions of modern times

, 2023
Bohdan Melnyk, Alexander Kaniura, T. Kostiuk   +2 more
openalex   +1 more source