Results 211 to 220 of about 2,062,268 (276)

Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis. [PDF]

BMC Med Inform Decis Mak
Feng Y, Xu L, Shao J, Wang L, Dai H, Wang C, Li K, Shu K, Chen J, Wang Y, Xie Y, Lai Z, Liu B.   +12 more
europepmc   +1 more source

Engineered Interface and Spatial Arrangement of Inorganic Components for Dendrite‐Free Li Anodes in Carbonate‐Based Electrolyte

Advanced Functional Materials, EarlyView.
A solid‐state ion exchange strategy constructs dentrimental Li2CO3 into a high‐modulus, high‐surface‐energy interface to enable dendrite‐free deposition of Li metal anode in the harsh carbonate‐based electrolyte. Abstract The practical application of lithium metal batteries (LMBs) in carbonate‐based electrolytes is hindered by uncontrolled lithium (Li)
Qiannan Zhao, Kaiqi Zhao, Jae‐Hoon Baek, Ronghua Wang, Chaohe Xu, Jong‐Beom Baek   +5 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Dynamic flight stability of hovering droneflies with unilateral wing damage. [PDF]

Sci Rep
Xie Y, Liu X, Chen Z, Zhang Y, Meng X.
europepmc   +1 more source

Microscale Tin–Bismuth Alloy Prepared via Cooling Rate Control as Anode Material for High‐Performance Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
To investigate the mechanisms about the enhanced buffering effect and morphological retention in fully lithiated Sn–Bi alloys, this study introduces a new bulk bimetallic Sn–Bi alloy with fine grains of uniformly distributed Sn and Bi alloys (≈50 nm) via cooling rate control. This design effectively relieves internal energy buildup and suppresses crack
Hyeon Seo Park, Tae‐Hyun Kim, Anith Dzhanxinah Mohd Sarofil, Mingony Kim, Kyung Yoon Chung, Eun‐Ho Lee, Jaehoon Kim   +6 more
wiley   +1 more source

Effects of Neuromuscular Training on Stable Versus Unstable Surfaces on Unilateral Force Production and Stability in Elite Male Soccer Players. [PDF]

J Funct Morphol Kinesiol
Jiménez-Rubio S, García-Albín D, Estévez Rodríguez JL, Jiménez-Sáiz SL.   +3 more
europepmc   +1 more source

Metal‐Organic Frameworks Facilitating Complexation for Long‐Cycle Zinc‐Bromine Flow Batteries

Advanced Functional Materials, EarlyView.
The organic ligands (imidazole and benzimidazole) from the decomposed zinc ZIF‐62 is proposed to further improve the Br2 complexing ability of the mature complexing agent (i.e., N‐methyl‐N‐ethyl pyrrolidinium bromide (MEP) ionic liquid). The synergistic effect between Im/BIm of the decomposed ZIF‐62 toward bromine species and MEP toward bromine species,
Huaiyang Zheng, Junwei Ding, Jiaqi Huang, Junrui Wang, Haitao Zhang, Congwen Qin, Junping Zhang, Yingjun Cai, Xiaoyan Ji   +8 more
wiley   +1 more source

Evaluation of Combined Use of Pre-contoured Locking Distal Clavicle Plate and Tunneled Suspensory Device Fixation for Unstable Lateral End Clavicle Fracture. [PDF]

J Orthop Case Rep
Maingi S, Maingi S, Chopra RK.
europepmc   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

Machine learning integration of MRI and gait reveals mobility phenotypes in multiple sclerosis. [PDF]

Brain Commun
Inojosa H, Zhao W, Wenk J, Schriefer D, Fischer S, Heisig P, Kählig M, Schlieter H, Stölzer-Hutsch H, Voigt I, Kather A, Haase R, Akgün K, Kitzler HH, Trentzsch K, Aßmann U, Wendt K, Ziemssen T.   +17 more
europepmc   +1 more source