Results 101 to 110 of about 62,620 (213)

Advancing Clinical Research

Advanced Science, EarlyView.
wiley   +1 more source

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

Morphology, divided and conquered?

Linguistica Brunensia, 2016
Concentrating on the taxonomy of grammatical morphemes, this study shows that traditional definitions of inflectional vs. derivational morphemes do not pass more rigorous testing, although they probably reflect instinctive distinctions present in a ...
Ludmila Veselovská, Joseph Emonds
doaj  

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Superior displacement of the inflexion point does not predict proximal junctional kyphosis after fusion for adult spinal deformity. [PDF]

J Spine Surg
Evola V, Daulat SR, Dholaria N, Saleh D, Soto Rubio DT, Rostami M, Alikhani P.   +6 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Bayesian Multi-Model Comparison and Nonlinear Mixed Modelling of Growth Trajectories in Denizli Chickens. [PDF]

Animals (Basel)
Manav HR, Narinç D, Aygun A, Öksüz Narinç N, Kaya Başar E, Fırat MZ.   +5 more
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Mitigating Stress‐Induced Nonphotoactive Phase Transition Through Sodium Sulfonate Engineering for Stable and Efficient Perovskite Solar Cells

Angewandte Chemie, EarlyView.
To address the phase stability issue of α‐FAPbI3, we employed a cation doping strategy using 1‐decanesulfonate (C10H21NaO3S). This doping releases lattice strain and suppresses the formation of the δ‐phase, enabling breakthrough performance in perovskite solar cells with a power conversion efficiency of 26.67% and excellent thermal and photostability ...
Zhihuan Tang, Mingzi Sun, Jinghao Ge, Ying Wang, Yunfan Wang, Yiran Tao, Lu Zhang, Xinhui Lu, Sai‐Wing Tsang, Weizhong Tian, Rui Wang, Hao‐Chung Kuo, Bolong Huang, Shengzhong (Frank) Liu, Jiaxue You, Alex K. Y. Jen   +15 more
wiley   +2 more sources