Results 271 to 280 of about 5,474,085 (350)

Assessment of Vegetation Habitat Types and Characteristics of Potential Nesting Trees for White-Backed Vultures (<i>Gyps africanus</i>) in Kempiana and Manyeleti Nature Reserves, Mpumalanga Province, South Africa. [PDF]

Ecol Evol
Hounnouvi FEK, Gandaho SM, Bain F, Hamming P, Thompson LJ.   +4 more
europepmc   +1 more source

Bioactive siRNA‐Based Liposomes Promoted Tendon‐Bone Healing in Osteoporotic Mice by Recovering the Stemness of CD248+ TSPCs

Advanced Science, EarlyView.
In this study, it is found that osteoporosis leads to disturbances in the Extracellular Matrix (ECM)of tendons and thus causes a decrease in TSPC stemness, resulting in a rotator cuff that is easily damaged and prone to retearing after repair. Targeted intervention with si‐CD248‐loaded liposomes can restore TSPC stemness, promote tendon‐bone healing ...
Yinhua Qian, Jinguo Zhu, Yanwei He, Haocheng Qin, Pingkang Qian, Bingfeng Sun, Haoqiang Huang, Chen Kuang, Quan Yang, Yuxi Ou, Rong Sun, Feng Xu, Xianwen Wang, Zhiwen Luo, Qing Wang   +14 more
wiley   +1 more source

Predicting ICU Mortality Among Septic Patients Using Machine Learning Technique. [PDF]

J Clin Med
Al-Ansari AA, Nejad FAB, Al-Nasr RJ, Prithula J, Rahman T, Hasan A, Chowdhury MEH, Alam MF.   +7 more
europepmc   +1 more source

Critical RWRE on trees and tree-indexed random walks

, 2004
Robin Pemantle, Yuval Peres
openalex   +2 more sources

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

Advanced Electronic Materials, EarlyView.
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster, Prashant Sankaran, Eloise Bihar   +2 more
wiley   +1 more source

AI-driven educational transformation in ICT: Improving adaptability, sentiment, and academic performance with advanced machine learning. [PDF]

PLoS One
Imran A, Li J, Alshammari A.
europepmc   +1 more source

The Random Buffer Tree : A Randomized Technique for I/O-efficient Algorithms

, 2004
Saju Jude Dominic, G. Sajith
openalex   +2 more sources

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source

Phylo2Vec: A Vector Representation for Binary Trees. [PDF]

Syst Biol
Penn MJ, Scheidwasser N, Khurana MP, Duchêne DA, Donnelly CA, Bhatt S.   +5 more
europepmc   +1 more source

Electronic Nanomaterials for Plants: A Review on Current Advances and Future Prospects

Advanced Electronic Materials, EarlyView.
Global food security faces mounting challenges from climate change and rapid population growth. This review highlights the pivotal role of electronic nanomaterials–including metals, metal oxides, and carbon‐based structures–in enhancing plant photosynthesis, nutrient uptake, and stress resilience. Furthermore, it explores how emerging platforms such as
Ciro Allará, Giuseppe Ciccone, Manuela Ciocca, Sahira Vasquez, Pietro Ibba, Mauro Maver, Tanja Mimmo, Paolo Lugli, Luisa Petti   +8 more
wiley   +1 more source