Results 301 to 310 of about 13,629,588 (389)

Individuals Infected with SARS-CoV-2 Prior to COVID-19 Vaccination Maintain Vaccine-Induced RBD-Specific Antibody Levels and Viral Neutralization Activity for One Year. [PDF]

Viruses
Mcconney CS, Kenney D, Ennis CS, Smith-Mahoney EL, Ayuso MJ, Zhong J, Douam F, Sagar M, Snyder-Cappione JE.   +8 more
europepmc   +1 more source

Aramid Nanofiber Aerogels: Versatile High Complexity Components for Multifunctional Composites

Advanced Materials, EarlyView.
Different forms of aramid nanofibers (ANFs) and especially aerogels from them, offer a sustainable route to high‐performance biomimetic nanocomposites. Due to the cartilage‐like architecture, ANF‐based materials enable breakthroughs in energy, electromagnetic, biomedical, and water purification technologies.
Mingqiang Wang, Shuhan Hu, Sangwok Bae, Volkan Cecen, Ahmet E. Emre, Zhengxiang Zhong, Li Liu, Carl Heltzel, Yudong Huang, Nicholas A. Kotov   +9 more
wiley   +1 more source

Defining criteria for broadly neutralizing HIV antibodies. [PDF]

Front Immunol
David-Fung ES, Belobrajdic KA, Macke JP, Quackenbush CR, Ganguly K, Mamrosh JL.   +5 more
europepmc   +1 more source

Artesunate Nanoplatform Targets the Serine–MAPK Axis in Cancer‐Associated Fibroblasts to Reverse Photothermal Resistance in Triple‐Negative Breast Cancer

Advanced Materials, EarlyView.
The artesunate nanoplatform selectively targets ECM CAF, functioning as a GTPase inhibitor through disruption of intracellular serine homeostasis. This metabolic intervention effectively suppresses MAPK cascade activity, which consequently inhibits PTT‐induced CAF to ECM CAF differentiation.
Dongdong Zheng, Jiaqi Yan, Xuejiao Liu, Zhiming Zhang, Anqi Jin, Yue Zhao, Lu Bai, Mengyao Quan, Xiuzhu Qi, Bin Fu, Zhigang Wu, Jin Zhou, Han Han, Ziqi Wang, Shiyu Wang, Chaoqiang Deng, Weijian Sun, Cai Chang, Shichong Zhou, Hongbo Zhang   +19 more
wiley   +1 more source

Immune imprinting and vaccine interval determine antibody responses to monovalent XBB.1.5 COVID-19 vaccination. [PDF]

Commun Med (Lond)
Wrynla XH, Bates TA, Trank-Greene M, Wahedi M, Hinchliff A, Curlin ME, Tafesse FG.   +6 more
europepmc   +1 more source

Advanced Electrode Materials for Efficient Hydrogen Production in Protonic Ceramic Electrolysis Cells

Advanced Materials, EarlyView.
Protonic ceramic electrolysis cells (PCECs) are a promising intermediate‐temperature hydrogen production technology, leveraging high proton conductivity in electrolytes yet constrained by insufficient catalytic activity and interfacial instability in fuel/air electrodes. This review systematically categorizes advanced electrode materials and critically
Zhipeng Liu, Lilin Zhang, Chunyue Joey Zheng, Yuan Zhang, Bin Chen, Zongping Shao, Jingjie Ge   +6 more
wiley   +1 more source

Prevalence of chikungunya virus infection in Sabah, Malaysia during 2017-2020. [PDF]

Trop Med Health
Ngwe Tun MM, John JL, Nguyen TV, Mutua MM, Manah AM, Takamatsu Y, Urano T, Morita K, Ahmed K.   +8 more
europepmc   +1 more source

Dual‐Selective Terahertz‐Nanodisc Metasurfaces for Exploring Neurotransmitter Dynamics beyond Spectral Limitations

Advanced Materials, EarlyView.
Observation and detection of neurotransmitter dynamics in aqueous system has been hurdle for analytical fields due to its weak and reversible nature. A terahertz‐nanodisc metasurface which implements comprehensive detection over conformational change and selective sensing is introduced. Utilizing the THz regime photonics and biomimetic environment with
Taeyeon Kim, Yeon Kyung Lee, Yeeun Roh, Jaehun Park, Yong‐Sang Ryu, Hyun Seok Song, Minah Seo   +6 more
wiley   +1 more source

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat. [PDF]

ACS Chem Biol
Filsinger Interrante MV, Tang S, Kim S, Shanker VR, Hie BL, Bruun TUJ, Wu W, Pak JE, Fernandez D, Kim PS.   +9 more
europepmc   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source