Results 241 to 250 of about 139,660 (338)

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

open access: yesAdvanced 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   +14 more
wiley   +1 more source

Moisture Harvesting by the Structure Regulation of Hygroscopic Hydrogel for Energy and Water Sustainability

open access: yesAdvanced Electronic Materials, EarlyView.
Hygroscopic hydrogels are capable of utilizing the moisture from air, which can transfer the gaseous water to liquid by a surface phase transition. Taking advantage of this water, sustainable water production, thermal management, and electricity generation can be realized.
Yujie Du   +5 more
wiley   +1 more source

Can the gut-brain axis provide insight into psilocybin's therapeutic value in reducing stress? [PDF]

open access: yesNeurobiol Stress
Kit A   +7 more
europepmc   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

open access: yesAdvanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The Comprehensive Roadmap Toward Malaria Elimination Using Graphene and its Promising 2D Analogs

open access: yesAdvanced NanoBiomed Research, EarlyView.
Material based on a diversity of graphene with chemical properties of strong strength, high mobility, high transparency, good heat conductivity, biocompatibility, and chemical stability, advanced devices demonstrating antimalarial characteristics can be used for malaria treatment at different stages of malaria development from the injection of ...
Fangzhou He   +11 more
wiley   +1 more source

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