Results 101 to 110 of about 20,183 (237)

Soft Artificial Ciliary Brush with Integrated Haptic Feedback for Efficient Airway Mucus Cleaning

Advanced Intelligent Systems, EarlyView.
A fundamental mucus cleaning mechanism is reported, which utilizes both artificial cilia mechanical sweeping and suction‐based mucus cleaning. A novel haptic feedback interface for the artificial cilia provides touch feedback on tissue contact, enhancing operator control and safety.
Zhongming Lyu, Yusheng Wang, Ruijian Ge, Darren Wang, Matthew Bacchetta, Caitlin T. Demarest, Fabien Maldonado, Xiaoguang Dong   +7 more
wiley   +1 more source

Optimizing biophysical properties of cellular niches to enhance stem cell‐derived extracellular vesicle function in musculoskeletal regeneration

BMEMat, EarlyView.
Extracellular vesicles (EVs) derived from stem cells show promise for applications in regenerative medicine, but their scalability and yield remain challenges. This review explores the approaches for biophysical modulations within cell niches on EV properties, discusses the current clinical application of EVs, and provides an outlook on the existing ...
Yang Xu, Chung Yin Matthew Cheung, Liling Liu, Hoi Pan Harry Cheung, Kam Yu Tam, Dai Fei Elmer Ker, Sarah H. Cartmell, Chuanbin Mao, Zhiyong Zhang, Dan Michelle Wang   +9 more
wiley   +1 more source

Optimization of Accuracy and Repeatability in Laser Micro-Processing Using Experimental Design

Engineering Proceedings
This study focuses on optimizing the laser micromachining process to achieve precise geometric features. The main objective is to develop a systematic approach for analyzing the process parameters that influence the repeatability of laser material ...
Todor Gavrilov, Todor T. Todorov, Yavor Sofronov, Hristiana Nikolova, Angel Todorov   +4 more
doaj   +1 more source

Formation of Multiscale Pattern Structures by Combined Patterning of Nanotransfer Printing and Laser Micromachining. [PDF]

Nanomaterials (Basel), 2023
Park TW, Kang YL, Kang EB, Kim S, Kim YN, Park WI.   +5 more
europepmc   +1 more source

Toward personalized healthcare: Advances in two‐dimensional nanomaterial‐based flexible electrochemical sensors for physiological monitoring

BMEMat, EarlyView.
This review provides an overview of the properties, composites and application of two‐dimensional (2D) nanomaterials for wearable electrochemical biosensors. Also, the challenges and future prospects of utilizing 2D nanomaterials in wearable electrochemical biosensor applications are discussed.
Kou Zhang, Lu Han, He‐Qing Cai, Xin‐Yu Xue, Yi‐Fei Song, Wu‐Lin Xin, Ying‐Ze Wang, Peng Liu, Juan Liu   +8 more
wiley   +1 more source

Femtosecond Laser Micromachining of the Mask for Acoustofluidic Device Preparation. [PDF]

ACS Omega, 2023
Wang Y, Qian J.
europepmc   +1 more source

Polycyclic aromatic hydrocarbons (PAHs) in air and vegetation: case study at three selected toll stations along North South Expressway in Johor, Malaysia [PDF]

, 2012
Polycyclic aromatic hydrocarbons (PAHs) from vehicular emission are products of the incomplete combustion of organic fuel, and are usually attached to the particulate matter from the emission and can caused pollution and hazard to human health due to
Azhari, Azliyana
core  

New phenomena in interaction of intense ultrashort light pulses with transparent materials: from 3D self-assembled nanostructures to quill writing and nonreciprocal photosensitivity

, 2010
Interaction of intense ulrashort light pulses with transparent materials reveal new ultrafast phenomena. Recent demonstrations of 3D nanoripple formation, ultrafast laser calligraphy and nonreciprocal photosensitivity are ...
Beresna, M., Hirao, K, Kazansky, P.G., Shimotsuma, Y., Svirko, Y.P.   +4 more
core   +1 more source

Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing

Carbon Energy, EarlyView.
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu, Kangyan Liu, Biao Zhang, Ziang Chen, Yi Yang, Qiang Sun, Tao Ye, Bed Poudel, Kai Wang, Congcong Wu   +9 more
wiley   +1 more source

Laser Micromachining of Bone as a Tool for Studying Bone Marrow Biology. [PDF]

Methods Mol Biol, 2023
Haase C, Richter D, Lin CP.
europepmc   +1 more source