Results 191 to 200 of about 9,629,107 (280)

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Physical Training Protocols for Improving Dyspnea and Fatigue in Long COVID: A Systematic Review with Meta-Analysis. [PDF]

Healthcare (Basel)
Mazzonetto LF, Cordeiro JFC, Correia IM, Oliveira AS, Moraes C, Brilhadori J, Gomide EBG, Kudlacek M, Machado DRL, Anjos JRCD, Santos APD.   +10 more
europepmc   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Physical training of wheelchair users with neuromuscular disorders: A systematic review. [PDF]

J Neuromuscul Dis
Poulsen NS, Kraglund LR, Vissing J.
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Effects of moderate physical training program in post-myocardial infarction patients with arterial hypertension. [PDF]

Eur J Transl Myol
Aronov DM, Bubnova MG, Lyamina NP, Downey HF, Manukhina EB, Lyamina S.   +5 more
europepmc   +1 more source

Physical Training [PDF]

The Elementary School Teacher and Course of Study, 1902
openaire   +2 more sources

Balancing Hydrophobicity and Hydrophilicity: Dual Filler‐Engineered Proton Exchange Membranes for Durable, High‐Power Fuel Cells

Advanced Functional Materials, EarlyView.
Polarity‐matched Zr–MOFs program Nafion's nanoscale morphology during solution casting. Hydrophilic UiO‐66 preserves hydrated pathways, while hydrophobic UiO‐67 increases the proton hopping sites by densifying ionic clusters. Combining both fillers yields a membrane that delivers 176 mS cm−1 conductivity, reaches 1.46 W cm−2 under 200 kPa, and triples ...
Yonghwi Cho, Yunseong Ji, Minkyu Choi, Junsu Kim, Yejin Kim, Su Jeong Lee, Wooyoung Choi, Choong Hoo Lee, Ju Yeon Kim, Ohchan Kwon, Hanim Kim, Du Yeol Ryu, Ki Chul Kim, Dae Woo Kim   +13 more
wiley   +1 more source

Effects of Physical Training on Heart Rate Variability in Patients with Metabolic Syndrome: A Systematic Review and Meta-Analysis. [PDF]

J Clin Med
Ortiz-Guzmán JE, Sánchez-Soler M, Prieto-Mondragón L, Arias-Mutis ÓJ, Bizy A, Calvo CJ, Alberola A, Zarzoso M.   +7 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source