Results 171 to 180 of about 20,715 (264)

Ethical and Frugal Approaches to Animal Experimentation in Bioelectronics and Neural Engineering—An Invertebrate Renaissance?

Advanced Electronic Materials, EarlyView.
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley   +1 more source

Identification of therapeutic targets for insomnia through genetic and plasma proteomic approaches. [PDF]

Medicine (Baltimore)
Wang X, Lu J, Lin F, Li G, Zhao W.
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Short-Packet Communications in Multi-Antenna Cooperative NOMA Networks with Hardware Impairments. [PDF]

Sensors (Basel)
Zhang X, Chen D, Hu J, Sun X, Wang B, Zhang D.   +5 more
europepmc   +1 more source

Decoding Interfacial Charge‐Carrier Dynamics in Integrated Perovskite/Organic Solar Cells via Numerical Modeling

Advanced Energy Materials, EarlyView.
A physical framework is developed based on drift‐diffusion simulations to elucidate the operation of integrated perovskite/organic solar cells (I‐POSCs) through the lens of interfacial charge‐carrier dynamics. A stepwise analysis establishes key links between carrier transport/recombination phenomena and device performance metrics, offering valuable ...
Jingjing Tian, Chao Liu, Karen Forberich, Rong Wang, Larry Lüer, Christoph J. Brabec   +5 more
wiley   +1 more source

IRS-Assisted Dual-Mode Relay-Based Adaptive Transmission. [PDF]

Sensors (Basel)
Wang D, Xu Y, Gao Z, Ding H, Zhu S, Li Z.   +5 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

DECODE VRL Report No. 1: Lymphocyte Survival After Diagnostic Vitrectomy - Does Size Matter? [PDF]

Transl Vis Sci Technol
Kowalski M, Kakkassery V, Merle DA, Heubach F, Athanasiou A, Dimopoulos S, Paigin S, Fend F, Bartz-Schmidt KU, Kortuem FC.   +9 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Identification and validation of plasma protein biomarkers as therapeutic targets in acute myeloid leukemia: an integrative multi-omics study. [PDF]

Front Immunol
Hu L, Luo Q, Liao Y, Zhai Z, Ding Y, Fei Y.   +5 more
europepmc   +1 more source