Results 161 to 170 of about 74,403 (250)

Rate-Adaptive Information Reconciliation for CV-QKD Systems at Low Signal-to-Noise Ratios. [PDF]

Entropy (Basel)
Fu H, Dai J, Feng Y, Hai H, Ge H, Huang P, Jiang XQ.   +6 more
europepmc   +1 more source

Increased Endurance of Nonvolatile Photonics Enabled by Nanostructured Phase‐Change Materials

Advanced Materials, EarlyView.
Tapered and segmented islands of the phase‐change material (PCM) antimony selenide (Sb2Se3) integrated on silicon microring resonators enable ultra‐low‐loss, high‐endurance, non‐volatile photonic tuning. The nanostructured PCM design suppresses interfacial scattering and thermal stress, achieving record endurance over 100 million electrical switching ...
Jayita Dutta, Andrew Tang, Brian Mills, Rui Chen, Arnab Manna, Gokul Nath SJ, Virat Tara, Dennis Callahan, Cosmin Constantin Popescu, Juejun Hu, Arka Majumdar   +10 more
wiley   +1 more source

Quantum interference of single photons without optical superposition: Toward high resolution imaging in spatial and spectral domains. [PDF]

Sci Adv
Zhang Y, Cui L, Guo X, Kang G, Zhao W, Deng Q, Tang X, Li X, Li C, Ou ZY.   +9 more
europepmc   +1 more source

Perfusion Bioreactor Culture Incorporating Mechanical Confinement Enhances Mesenchymal Stem Cell Extracellular Vesicle Production and Wound Healing Potential

Advanced Materials Technologies, EarlyView.
Scalable manufacturing challenges and limited potency remain two of the most intransigent issues limiting clinical translation of EV therapeutics. Mechanical cues can induce phenotypic changes and increased vesiculation in EV source cells without the use of extraneous reagents, chemicals, and/or cargo, thereby potentially drastically improving the ...
Emily H. Powsner, Raith Nowak, Stephanie M. Kronstadt, Nicholas H. Pirolli, Talia J. Solomon, Kristin Nikolov, William Pieper Holeman, Ian M. Smith, Kimberly M. Stroka, John P. Fisher, Steven M. Jay   +10 more
wiley   +1 more source

Impact of dual sensory impairment on dementia: A systematic review and meta-analysis. [PDF]

Alzheimers Dement (Amst)
Urso D, Giannoni-Luza S, Alaoui AA, Ting J, Jabbour S, Fuente A, Logroscino G.   +6 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Efficacy, Effectiveness, and Safety of Phenobarbital in the Treatment of Cholestasis and as a Premedication to Improve Diagnostic Accuracy of Hepatobiliary Scintigraphy: A Systematic Review. [PDF]

Acta Med Philipp
Gregorio GEV, Rey KLR, Tan-Lim CSC.
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

A framework for the molecular identification of CHIP for clinical research. [PDF]

HGG Adv
Harraka P, O'Reilly RL, Burke J, Yeh P, Howlett K, Behrouzfar K, Belluoccio D, Rewse A, Lynch BM, Bubb KJ, Nicholls SJ, Milne RL, Southey MC.   +12 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source