Results 151 to 160 of about 292,252 (254)

Surface Diffusion in SnTe‐PbTe Monolayer Lateral Heterostructures

Advanced Functional Materials, EarlyView.
The lateral heterostructures between 2D materials often suffer from the interdiffusion at the interfaces. Here, a surface diffusion mechanism is found to be dominating at the interfaces between semiconducting SnTe and PbTe monolayers. Atomically sharp interfaces can be achieved by suppressing this diffusion process. ABSTRACT The construction of complex
Jing‐Rong Ji, Zi'Ang Gao, Shiva Prasad Poudel, Rui‐Qi Cao, Tianzhe Chen, Luxin Li, Chong Liu, Salvador Barraza‐Lopez, Stuart S. P. Parkin, Kai Chang   +9 more
wiley   +1 more source

Population Structure and Genetic Diversity of Tibetan Sheep Revealed by Whole-Genome Resequencing: Implications for Conservation and Breeding. [PDF]

Genes (Basel)
Zhang J, Zhang L, Zhang Y, Deng Y, Wen X.   +4 more
europepmc   +1 more source

Engineering a Sonotherapeutic RBC Membrane‐Derived Nanoparticle Platform for the Treatment of Liver Cancer

Advanced Functional Materials, EarlyView.
Herein, an RBC membrane‐derived nanoparticle (CMN‐ICG) is engineered to efficiently deliver a sonosensitizing agent, indocyanine green (ICG), for sonotherapy of hepatocellular carcinoma (HCC). CMN‐ICG exhibits excellent cytocompatibility, significantly enhances hepatocyte uptake, and produces excessive reactive oxygen species (ROS) upon ultrasound ...
Alap Ali Zahid, Aishik Chakraborty, Wei Luo, Juhi Bora, John Joseph Kelly, John Andrew Ronald, Arghya Paul   +6 more
wiley   +1 more source

Prediction of body weight in indigenous sheep using random forest regression, support vector regression, and classification and regression trees algorithms. [PDF]

Vet Anim Sci
Megersa AG, Negash F, Hailu A, Melak A, Assefa A, Aseged T, Sinkie S.   +6 more
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Engineering T3 and T7 host range to target protein receptors and guide bacterial evolution. [PDF]

iScience
Ogari C, Yehl K.
europepmc   +1 more source

An Ultrafast Self‐Gelling Versatile Hydrogel for Rapid Infected Burn Wound Repair in Military Medicine

Advanced Functional Materials, EarlyView.
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang, Zhangrui Wu, Xiansheng Zhao, Geng Wang, Quyang Yang, Minxia zhang, Xiaowei Wang, Xiujun Cheng, Changyue Wu, Dan Wu, Yutian Yang, Canbin Dong, Tao Zhang, Weiqiang Tan, Ningwen Zhu   +14 more
wiley   +1 more source

Flight performance of great cormorants Phalacrocorax carbo sinensis suggests sufficient muscle capacity for adaptive speed adjustment. [PDF]

J Exp Biol
Hedenström A, KleinHeerenbrink M, Åkesson S.   +2 more
europepmc   +1 more source

From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics

Advanced Functional Materials, EarlyView.
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou, Bokeon Kwak, Dario Floreano, Esther Amstad   +3 more
wiley   +1 more source

Machine learning-based framework for wall-perching prediction of flying robot. [PDF]

Nat Commun
Shen Y, Mao C, Qi Z, Liu K, Zhang W, Cao A.   +5 more
europepmc   +1 more source