Results 151 to 160 of about 94,377 (266)

Retraction Note: Mathematical analysis of isothermal study of reverse roll coating using Micropolar fluid. [PDF]

Sci Rep
Zaman SU, Hussain A, Ashraf K, Sarwar L, Hussain F, Altalbe A, Bekir A, Muhammad T.   +7 more
europepmc   +1 more source

SERS Facemask for Rapid and Portable Sensing Mycobacterium Tuberculosis Antigens for TB Screening

Advanced Science, EarlyView.
Our study introduced an Au─Ag embedded covalent organic framework (U@COF) ‐mediated facemask for sensing TB antigen ESAT‐6/CFP‐10 complex in clinical droplet samples toward TB screening. Practical analysis of clinical samples demonstrated the availability of our facemask, which is capable of identifying the TB subjects (N = 17) from healthy candidates (
Lingzhi Chen, Jiaqi Yu, Jing Xu, Lingqi Chen, Ninghao Zhang, Wenrui Li, Runmin Zeng, Xiaomin Luo, Yiqun Chang, Jiayin Lai, Wenshi Huang, Xiaochen Liang, Ting Zhao, Shanze Chen, Huaihong Cai, Yanguang Cong, Pinghua Sun, Jiang Pi, Xueqin Huang, Haibo Zhou, Junxia Zheng   +20 more
wiley   +1 more source

Experimental Determination of Isothermal Sections in the Ni-Al-Cr-Ru Quaternary System: Implications for Ni-Based Superalloys and High-Entropy Alloys. [PDF]

Materials (Basel)
Huang J, Ma D, Li Z, Liu Y, Wang R, Xiao H, Zhang Q.   +6 more
europepmc   +1 more source

A Fentanyl‐Responsive Microneedle Patch for Harm Reduction

Advanced Science, EarlyView.
A fentanyl‐responsive microneedle patch is developed as a self‐regulating overdose intervention that releases naloxone upon detecting fentanyl. The system employs aptamer‐functionalized nanoparticles embedded in a swellable polymer matrix to enable rapid, on‐demand drug delivery through the skin.
Penghui Zhao, Zerui Zhou, Tyler Wolter, Huanqing Niu, Yuanzhi Bian, Chixia Tian, Chun Xu, Chenming Zhang, Juhong Chen, Matthew W. Buczynski, Wujin Sun   +10 more
wiley   +1 more source

LAMP-Based Detection of <i>Candida albicans</i>: A Potential Tool for Candidemia Diagnosis. [PDF]

Can J Infect Dis Med Microbiol
Prompunt E, Jamnai K, Marome N, Phutthawong N, Sumphanapai T, Kamseng P, Kloypan C, Saoin S, Khamchun S, Nangola S.   +9 more
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Recognition, Signal Transduction, and Amplification of Nucleic Acids Under Isothermal Condition. [PDF]

Adv Genet (Hoboken)
Qin Z, Li J, Su X, Liu H.
europepmc   +1 more source

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

Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM. [PDF]

Polymers (Basel)
Speranza V, Volpe V, Salomone R, Pantani R.   +3 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source