Results 141 to 150 of about 16,616 (239)

Data-driven fuzzy information granulation for predicting freight volume trends. [PDF]

PLoS One
Gao Y, Wang X, Niu M, Li J, Cai L, Li R.
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jean‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Evolution of species' range and niche in changing environments. [PDF]

Proc Natl Acad Sci U S A
Polechová J.
europepmc   +1 more source

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

Advanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi, Pedram Khalili Amiri, Stefano Chiappini, Anna Giordano, Mario Carpentieri, Hyunsoo Yang, Massimo Chiappini, Giovanni Finocchio   +9 more
wiley   +1 more source

Enhancing grape disease detection: A comparative analysis of hybrid CNN-LSTM and CNN methods. [PDF]

MethodsX
Mulik V, Patil V.
europepmc   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

Over the edge: Empirical evidence for the cliff‐edge model of obstetric selection

The Anatomical Record, EarlyView.
Abstract The cliff‐edge model of obstetric selection maintains that larger neonates and smaller birth canals confer a positive selective advantage until labor becomes obstructed and vaginal delivery is no longer possible, eliciting an abrupt reduction in fitness.
Laura M. Watson, Pierre Frémondière, Kaspar Staub, Philipp Mitteroecker, Barbara Fischer, Martin Haeusler, Nicole M. Webb   +6 more
wiley   +1 more source

Historical birth records from 1896 to 1944 from the Basel maternity hospital, Switzerland, reveal significant obstetric selection pressures

The Anatomical Record, EarlyView.
Abstract Maternal and neonatal morbidity and mortality have declined dramatically during the last century. Historical data are therefore important sources to study the evolutionary selection pressures related to childbirth and how they have fluctuated over time.
Mirella Woodert, Guillermo Bravo Morante, Viktoria A. Krenn, Cédric Cordey, Nicole Torres‐Tamayo, Kaspar Staub, Nicole M. Webb, Martin Haeusler   +7 more
wiley   +1 more source

Fasting and Refeeding Mediated Phospholipid Remodeling Plays an Important Role in Improving Meat Quality of Aged Laying Hens

Animal Research and One Health, EarlyView.
ABSTRACT This study explored fasting‐induced physiological remodeling effects on meat quality in aged laying hens. Fasting for 15 days (F15) significantly reduced abdominal fat, intermuscular fat width, subcutaneous fat thickness, and liver index versus pre‐fasting (F0) (p < 0.05), which recovered post‐refeeding.
Xiaoran Zhang, Jun Zhang, Yadong Tian, Donghua Li, Yanhua Zhang, Lujie Zhang, Yujie Gong, Xiangtao Kang, Ruirui Jiang   +8 more
wiley   +1 more source

Effect of Cyclic Heat Exposure on the Growth Performance and Metabolism of Broilers Fed Palm Kernel Meal

Animal Research and One Health, EarlyView.
The aim of our study is to evaluate the interaction between HS and the incorporation of PKM in broiler chicken diets, as well as its effect on growth performance and metabolism. Based on the results obtained, PKM supplementation failed to mitigate the adverse effects of heat stress in broiler chickens. ABSTRACT The aim of this study was to evaluate the
Ahmed Mijiyawa, Elham Ghashghaei, Okasha Hamada, Huimin Wang, Lijing Sun, Yendouhamtchié Nadiedjoa, Dan Wang, Zhengkai Yue, Clarice Maa Maa Temhoul, Maxwell Ansong Okai, Muhammad Faisal Riaz, Felix Kwame Amevor, Wéré Pitala, Hai Lin   +13 more
wiley   +1 more source