Results 201 to 210 of about 1,107,672 (249)

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer

Advanced Science, EarlyView.
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu, Xia Ling, Xianhe Zhang, Chuanjiang Jian, Leilei Shi, Wentao Song, Xiaonan Wang, Bin Liu   +7 more
wiley   +1 more source

Two new wood-decaying fungal species on <i>Arundo donax</i> from Guangxi, southern China. [PDF]

MycoKeys
Guan QX, Zhao H, Wang L, Deng CY, Dai YC, Zeng GY.   +5 more
europepmc   +1 more source

Phase‐Resolved Dual Control of Phenol Photodissociation at the Air–Water Interface From Structure‐Resolved Statistics

Advanced Science, EarlyView.
Faster phenol photolysis at the air–water interface arises from two cooperative factors: a more favorable initial microenvironment for solvent‐side electron stabilization, which lowers CI access, and a more labile hydrogen‐bond network, which more readily reorganizes to stabilize the dark‐state intermediate.
Qiang Yin, Jialing Shi, Jinping Zhao, Chengjun Li, Yongbo Xie, Benkun Tan, Da Wang, Ziyun Wang, Yu Mao   +8 more
wiley   +1 more source

Landscape carbon trajectories after spruce budworm outbreaks in Canada's Eastern boreal forest: effects of salvage intensity and wood-use pathways. [PDF]

Landsc Ecol
Ameray A, Pureswaran DS, Laganière J, Buchkowski RW.   +3 more
europepmc   +1 more source

Recent Advances in Carbon Cathode Materials toward High‐Performing Zinc‐Ion Hybrid Supercapacitors

Advanced Science, EarlyView.
Aqueous zinc‐ion hybrid supercapacitors (ZHSCs) have emerged as promising next‐generation electrochemical energy‐storage devices. Porous carbon materials have been extensively studied as cathodes, with advances in tailoring pore structures and material properties to enhance performance.
Take Hirooka, Zhaolin Liu, Ivan P. Parkin, Guanjie He   +3 more
wiley   +1 more source

Sustained Delivery of a Shingles Subunit Vaccine Overcomes Age‐Related Declines in Humoral and Cellular Immunity Relative to Shingrix

Advanced Science, EarlyView.
Sustained delivery of a shingles subunit vaccine from an injectable polymer–nanoparticle hydrogel enhanced the potency, durability, and breadth of immune responses in aged mice while minimizing inflammatory cytokine production and reactogenicity. This strategy decouples immunogenicity from reactogenicity and offers a promising approach to improve ...
Ye Eun Song, Jerry Yan, Ben S. Ou, Olivia M. Saouaf, Noah Eckman, E. A. Appel   +5 more
wiley   +1 more source

Salt in the Wound: Assessing Pathogen Susceptibility in Amphibian Populations Across a Gradient of Salt Pollution. [PDF]

Ecol Evol
Relyea RA, Hoverman JT, Hua J, Jones DK, Lech M, Mattes B, Schermerhorn C, Tuthill B, Tuthill I.   +8 more
europepmc   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

What we (still don't) know about wood-degrading fungi: an overview of threats and utilization potentials. [PDF]

Appl Microbiol Biotechnol
Tamayo E, Bachmann F, Cheng T, Felle TK, Nussbaumer M, Benz JP.   +5 more
europepmc   +1 more source