Results 51 to 60 of about 9,405 (123)

The Locus Coeruleus‐Periaqueductal Gray GABAergic Projection Regulates Comorbid Pain and Depression

Advanced Science, EarlyView.
LC‐GABA neurons exhibit elevated activity to noxious and aversive stimuli in chronic pain, and their activation alleviates pain‐ and depression‐like behaviors. While LC‐GABA neurons target LC‐NA neurons and GABA and Glu neurons in the vlPAG, they modulate the pain responses of LC‐NA neurons but regulate pain‐ and depression‐like behaviors through their
Yuan Gao, Xue Zhang, Xiao‐Juan Liu, Yi‐Ling Sun, Cui Yin, Dong‐Liang Tang, Cheng Xiao, Chunyi Zhou   +7 more
wiley   +1 more source

Highly Robust Double Memristive Device Based on Perovskite/Molybdenum Oxide‐Sulfide Compound Heterojunction System

Advanced Electronic Materials, EarlyView.
A highly robust double memristor based on a molybdenum oxide‐molybdenum sulfide/perovskite heterojunction is demonstrated. Good resistive switching behavior with an endurance of 100 cycles, high retention of 2·× 104 s, and ON/OFF ratio of ≈102 is reported to emulate successfully the biosynapse's behavior.
Gion Kalemai, Apostolos Verykios, Georgios Chatzigiannakis, Polychronis Tsipas, Athanasios Dimoulas, Vassilis Psycharis, Elias Sakellis, Nikos Boukos, Vlassis Likodimos, Ioannis Karatasios, Michael‐Alexandros Kourtis, Konstantinos Aidinis, Alexander Chroneos, Abd Rashid bin Mohd Yusoff, Panagiotis Argitis, Dimitris Davazoglou, Maria Vasilopoulou, Anastasia Soultati   +17 more
wiley   +1 more source

Ferroelectric Hafnium Oxide: A Potential Game‐Changer for Nanoelectronic Devices and Systems

Advanced Electronic Materials, EarlyView.
Devices based on ferroelectric hafnium oxide have spurred interest in a wide range of nanoelectronic applications. This review focuses on the advantages and challenges of these devices, including non‐volatile memories, neuromorphic devices, sensors, actuators, and RF devices.
David Lehninger, Franz Müller, Yannick Raffel, Shouzhuo Yang, Markus Neuber, Sukhrob Abdulazhanov, Thomas Kämpfe, Konrad Seidel, Maximilian Lederer   +8 more
wiley   +1 more source

Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles

Aggregate, EarlyView.
Pathogen‐derived extracellular vesicle detection: theoretical insights and advanced methodologies: This review explores the theoretical foundations and practical applications of pEV detection, emphasizing the challenges and innovative strategies involving novel aggregate materials and machine learning for enhanced diagnostic accuracy.
Lihan Lai, Yun Su, Cong Hu, Zehong Peng, Wei Xue, Liang Dong, Tony Y. Hu   +6 more
wiley   +1 more source

Designed Biomaterial‐Enhanced Cell Transplantation for Neural Tissue Engineering

Aggregate, EarlyView.
Biomaterials offer a promising solution for cell transplantation in the central nervous system by creating a protective environment that enhances cell survival, integration, and functional recovery in preclinical models of neurological disorders. ABSTRACT Cell transplantation therapy in the central nervous system is hindered by limited survival and ...
Yun Tang, Alice Le Friec, Menglin Chen, Di Sun   +3 more
wiley   +1 more source

A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs [PDF]

arXiv, 2018
We present a fully automated system for sizing nasal Positive Airway Pressure (PAP) masks. The system is comprised of a mix of HOG object detectors as well as multiple convolutional neural network stages for facial landmark detection. The models were trained using samples from the publicly available PUT and MUCT datasets while transfer learning was ...
arxiv  

Synthesis of heat‐integrated thermally coupled nonsharp distillation using self‐adaptive spherical search

AIChE Journal, EarlyView.
Abstract Although thermally coupled distillation (TCD) exhibits strong energy efficiency, the possibility of utility cost savings remains debatable. TCD designs that do not consider vapor transport can underestimate costs, making section rearrangement crucial to find more operable configurations.
Anqing Wang, Ruixuan Ying, Yasuhiro Fukushima   +2 more
wiley   +1 more source

Deep Learning Methods in Soft Robotics: Architectures and Applications

Advanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský   +3 more
wiley   +1 more source

Clinical Insights Into Nabais Sá‐De Vries Syndrome due to a Novel SPOP Mutation: Neuromotor, Cognitive, Adaptive, Behavioral, and Neurovisual Features

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Nabais Sá‐De Vries syndrome (NSDVS) is an extremely rare autosomal dominant disorder caused by SPOP mutations. To date, only 10 cases have been described presenting with intellectual disability, neurological signs and symptoms, and a variable association of dysmorphic features.
Jessica Galli, Erika Loi, Federica Zanardini, Giovanna Baldoni, Francesca Novara, Serena Panigada, Roberto Ciccone, Maria Rosa Cutrì, Alice Bertoletti, Lorenzo Pinelli, Elisa Fazzi   +10 more
wiley   +1 more source

Reflections on Bayesian inference and Markov chain Monte Carlo

Canadian Journal of Statistics, Volume 50, Issue 4, Page 1213-1227, December 2022., 2022
Abstract Bayesian inference and Markov chain Monte Carlo methods are vigorous areas of statistical research. Here we reflect on some recent developments and future directions in these fields. Résumé L'inférence bayésienne et les méthodes de Monte‐Carlo par chaîne de Markov sont des domaines dynamiques de la recherche statistique.
Radu V. Craiu, Paul Gustafson, Jeffrey S. Rosenthal   +2 more
wiley   +1 more source