Results 171 to 180 of about 212,411 (244)

Genetic Diversity and Spawning Patterns of Small Yellow Croaker (<i>Larimichthys polyactis</i>) in a Large-Scale Pooling System. [PDF]

Biology (Basel)
Noh ES, Dong CM, Choi S, Jung HS, Park J, Hwang IJ, Kang JH, Ryu YW.   +7 more
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.

Chem Soc Rev
Kell DB, Roberts I.
europepmc   +1 more source

Twist Fields in Many-Body Physics. [PDF]

Entropy (Basel)
Doyon B.
europepmc   +1 more source

Rocking and Rolling of Rigid Polygons Under Seismic Excitation

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present an event driven analytical framework for rigid cyclic polygons subjected to horizontal ground excitation in which uplift, impact, and successive pivot switching are treated within a unified non‐smooth dynamical description. Rolling is defined as a sequence of energetically admissible transitions between neighbouring vertices tied to
Atif Rasheed, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Soliton management in a variable-coefficient coupled dispersionless system via Darboux transformation. [PDF]

Sci Rep
Riaz HWA, Yildirim Y, Alshuhail A.
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Determinants of Protein Folding Pathways: Lessons from Metamorphic Proteins. [PDF]

Int J Mol Sci
Pennacchietti V, Di Felice M, Toso J, Caldarelli L, Ventura ES, Malagrinò F, Toto A, Gianni S.   +7 more
europepmc   +1 more source

Urban–Rural Comparative Assessment of Hybrid Energy Systems in Southern Africa: A Systematic Review and Bibliometric Analysis

Energy Science &Engineering, EarlyView.
This study synthesizes urban hybrid energy system deployments in Southern Africa, revealing dominant PV–battery configurations, strong cost and emissions benefits, and persistent research concentration in South Africa, highlighting opportunities to scale resilient, low‐carbon urban energy solutions across the region.
Kehinde A. Adeyeye, Charles Mbohwa
wiley   +1 more source

A New Vista of Opportunity in Diabetes Management: Natural Product‐Based β‐cell Preservation

Food Chemistry International, EarlyView.
Preserving functional β‐cells via natural products offers promising strategy for diabetes treatment. ABSTRACT A defining characteristic of diabetes is β‐cell failure, in which β‐cells cannot modulate insulin secretion to compensate for escalating insulin resistance, pushing forward disease development.
Yi‐San Lee, Tien‐Fen Kuo, Chun‐Yen Yang, Greta Yang, Wen‐Chin Yang   +4 more
wiley   +1 more source