Results 231 to 240 of about 18,801 (297)

Reprogramming tumor immune microenvironment by ultrasound‐responsive nanoplatforms for enhanced cancer immunotherapy

BMEMat, EarlyView.
Ultrasound‐responsive nanoplatforms reprogram the tumor immune microenvironment by targeting tumor cells, immune cells, and non‐immune stromal cells to enhance the efficacy of cancer immunotherapy. Abstract Cancer immunotherapy represents a significant advancement in cancer treatment by enhancing the specific recognition and elimination of cancer cells.
Shilong Zhao, Rui Qu, Zan Dai, Xiqun Jiang, Xu Zhen   +4 more
wiley   +1 more source

Acoustic emissions from spin crossover complexes.

J Mater Chem C Mater
Kamel SM, Daróczi L, Tóth LZ, Beke DL, Juárez GG, Cobo S, Salmon L, Molnár G, Bousseksou A.   +8 more
europepmc   +1 more source

A novel biomimetic liposome drug delivery system mediated by macrophage targeting for precision treatment of encephalitis

BMEMat, EarlyView.
An advanced macrophage‐mediated biomimetic liposome (AC‐LP@RAW) that can penetrate the BBB and precisely target inflammatory sites in the deep brain was established in this study based on the unique immune homing property of macrophages, and showed a significantly improved delivery of curcumin to the brain.
Mengru Wu, Baoqin Song, Zhihao Chen, Wenzhong Li, Wanjun Liang, Xiu Wang   +5 more
wiley   +1 more source

A narrow bandgap Schottky heterojunction Fe2N/CeO2 microneedle triggering sonodynamic reactive oxygen species storm for drug‐resistance‐free skin fungal infection

BMEMat, EarlyView.
Inorganic sonosensitizers suffer from inefficient electron‐hole separation, rapid recombination, and wide bandgaps in anti‐fungal applications. We propose MN@Fe2N/CeO2 to directly eliminate fungi without drug resistance. Combining semiconductor CeO2's advantages with Fe2N's high work function and activity enables efficient Schottky heterojunctions ...
Li Wang, Jiayi Yang, Ning Tang, Youbin Zheng, Yichao Hou, Chutong Liu, Lihao Guo, Yingying Liao, Gandong Zhou, Weiwei Wu, Xin Du, Shuxiang Xu, Jie Yin, Miaomiao Yuan   +13 more
wiley   +1 more source

Ecology and evolution of pyrazines in insects

Biological Reviews, EarlyView.
ABSTRACT Chemical communication is the oldest and most widespread form of signalling among and within organisms. Among the many compounds involved in such communication, pyrazines – nitrogen‐containing heterocyclic molecules – are especially intriguing due to their widespread occurrence across the tree of life, from bacteria and fungi to insects and ...
Zowi Oudendijk, Niklas Wahlberg, Johanna Mappes   +2 more
wiley   +1 more source

Acoustic emissions of Sorex unguiculatus (Mammalia: Soricidae): Assessing the echo-based orientation hypothesis. [PDF]

Ecol Evol, 2019
Sanchez L, Ohdachi SD, Kawahara A, Echenique-Diaz LM, Maruyama S, Kawata M.   +5 more
europepmc   +1 more source

Utterance evolution: the road to generative, combinatorial communicators

Biological Reviews, EarlyView.
ABSTRACT Language has long been considered uniquely complex in the animal kingdom; however, animal research over the last decade has begun to challenge some long‐standing premises about exactly which language capacities are uniquely human. The task of resolving why and how complex communication systems evolve, particularly human language, has ...
Catherine Crockford, Roman Martin Wittig, Cedric Girard‐Buttoz   +2 more
wiley   +1 more source

Acoustic Emissions in 3D Printed Parts under Mode I Delamination Test. [PDF]

Materials (Basel), 2018
Barile C, Casavola C, Cazzato A.
europepmc   +1 more source

Application of Ultrasonic Sensors for Determining the Height of Dynamic Two‐Phase Layers in Tray Columns

Chemie Ingenieur Technik, EarlyView.
Ultrasonic sensors are evaluated for their applicability in dynamic gas–liquid systems. By comparing sensor data with two independent optical reference methods, their robustness and reliability are demonstrated under varying flow conditions and tray geometries in column systems.
Niklas Breuer, Marcus Grünewald, Julia Riese   +2 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source