Results 191 to 200 of about 171,409 (281)

Integrated Assessment of Neurobehavioral and Cardiotoxic Effects of Pyrrolidine-Containing Cathinones in Zebrafish: Structural Determinants of Functional Safety Profiles. [PDF]

Int J Mol Sci
Aljabasini O, Tagkalidou N, Pazos MD, García-Díez G, Prats E, Seco R, Berzosa X, López-Arnau R, Raldua D.   +8 more
europepmc   +1 more source

Logarithmic derivative estimates for subharmonic functions

Matematychni Studii, 2008
I. E. Chyzhykov, L. I. Kolyasa
openaire   +1 more source

Tunable 3D‐Printed Static Mixers for Gradient Bioprinting With High Cell Viability

Advanced Materials Technologies, EarlyView.
ABSTRACT The fabrication of native tissue‐like structures with gradual transitions in material properties, cell types, and growth factors remains a major challenge in biofabrication due to the lack of suitable methods. Mimicking the hierarchical organization of living tissues is essential for functional models, yet creating gradient, multimaterial ...
Florian Hofmann, Jessica Faber, Franz Moser, Alessandro Cianciosi, Nicoletta Murenu, Joachim Schenk, Katrin G. Heinze, Natascha Schaefer, Silvia Budday, Tomasz Jungst   +9 more
wiley   +1 more source

3D-QSAR study for the development of chalcone-based inhibitors targeting ovarian cancer cells with experimental validation. [PDF]

Front Pharmacol
Valenzuela-Valderrama M, Varas A, Rubilar M, Lorca M, Mella J, Espinosa-Bustos C, Mellado M, Echeverría J.   +7 more
europepmc   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Lipidomic and Metabolomic Profiling on Low-Count Human Spermatozoa: A Robust and Reproducible Method for Untargeted HPLC-ESI-MS/MS-Based Approach. [PDF]

Cells
Calzado I, Araolaza M, Albizuri M, Odriozola A, Muñoa-Hoyos I, Ajuria-Morentin I, Subirán N.   +6 more
europepmc   +1 more source

Controlling Film Formation in Inkjet‐printed MAPbBr3 Through Graphene Incorporation for Enhanced Photodetection

Advanced Materials Technologies, EarlyView.
This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo, Javier Bartolomé, María Vila, Giovanni Vescio, Raúl I. Sánchez‐Alarcón, Junaid Khan, Júlia Marí Guaita, Francisco Palacio Bonet, Juan P. Martínez‐Pastor, Sergi Hernández, Blas Garrido, Carmen Coya, Albert Cirera   +12 more
wiley   +1 more source

Enhancing Small Molecule Sensing With Aptameric Functionalized Nano Devices

Advanced Materials Technologies, EarlyView.
Unveiling an ultra‐sensitive, non‐invasive neurotransmitter sensor. For the first time, a nanoscale sensor for detecting an important neurotransmitter was demonstrated using micro‐electromechanical systems (MEMS) technology. Our approach utilized field‐effect transistor (FET)‐based readout to enable pico‐molar detection of biomarkers in sweat.
Thi Thanh Ha Nguyen, Cong Minh Nguyen, Quang Thang Trinh, Minh Anh Huynh, Khanh Vinh Ho, Dang Co Pham, Dzung Dao, Sven Ingebrandt, Sina Jamali, Xuan Thang Vu, Nam‐Trung Nguyen, Tuan‐Khoa Nguyen   +11 more
wiley   +1 more source

Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning. [PDF]

Sci Rep
Song T, Guo L, Sun Q, Gao G, Chen J, Zhang Q.   +5 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source