Results 121 to 130 of about 363,421 (243)

An efficient real-time model of a five level modular multilevel converter with modified pulse width modulation technique for reduced switching frequency

open access: yesMeasurement + Control
Modular multilevel converters are widely used voltage source converters in a variety of applications, such as power transmission, renewable energy, and motor drives.
Bhavik Brahmbhatt   +5 more
doaj   +1 more source

Conversor CC-CC modular isolado para elevadas tensões de entrada e de saída [PDF]

open access: yes, 2014
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2014.Este trabalho apresenta uma nova estrutura de conversor CC-CC (Corrente Contínua para Corrente ...
Piontkewicz, Rodrigo José
core  

Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia

open access: yesAdvanced Science, EarlyView.
The interactive CCAtlas platform delineates cross‐species, spatiotemporal, and sex‐specific molecular dynamics and metabolic rewiring across organs during cancer cachexia. Hepatic Gamt downregulation curtails hepatic creatine synthesis to trigger systemic creatine insufficiency and consequent skeletal muscle atrophy in LLC tumour‐bearing mice ...
Zihan Tian   +12 more
wiley   +1 more source

Modeling and Control of the Modular Multilevel Converter connected to an inductive DC source using Energetic Macroscopic Representation [PDF]

open access: yes, 2018
The use of DC transmission is particularly advantageous for long-distance transmission and interconnection of asynchronous AC networks. Several converter topologies can be used for HVDC.
COLAS, Frédéric   +5 more
core  

Gate Metal‐Driven Sensing and Memory Bifunctionality in Intrinsically Stretchable Organic Electrochemical Transistors for Soft Neuromorphic Systems

open access: yesAdvanced Science, EarlyView.
Intrinsically stretchable OECTs enable bifunctional operations via gate engineering. Polarizable Ag/AgCl gates provide volatile sensing, while Au gates enable non‐volatile memory. The SEBS‐blended channel maintains performance under strain, supporting reliable signal transduction.
Jiyong Yoon   +8 more
wiley   +1 more source

Force‐Electric Nanotentacles of Tantalum Implant Accelerate Cellular Energy Metabolism/Crosstalk for Immunomodulation‐Vascularized Bone Integration

open access: yesAdvanced Science, EarlyView.
A biomimetic force‐electric nanotentacle‐enabled tantalum (Ta) implant with surface‐nanostructured LiTaO3 (n‐LiTaO3) was first developed via laser nanofabrication combined with Li+‐induced in situ reaction, enabling the transduction of ultrasound into bioelectrical cues.
Taixing Zhang   +15 more
wiley   +1 more source

Multi‐Modal Low‐Power Adaptive Braille Recognition System Based on Hf0.3Zr0.7O2 Memristor

open access: yesAdvanced Science, EarlyView.
A multimodal adaptive perception system based on HZO ferroelectric memristor realizes efficient Braille digit recognition via reservoir computing. It delivers high recognition accuracy with ultralow‑energy analog computation, offering a promising hardware solution for environment‑robust neuromorphic assistive devices for visually impaired users ...
Jikang Xu   +9 more
wiley   +1 more source

Ammonification Process Is Limited by Transformation of Medium Molecular Weight Nitrogenous Organics but Not Hydrolysis of Proteins

open access: yesAdvanced Science, EarlyView.
A multi‐level analytical framework, integrating protein‐level persistence analysis, nontargeted HRMS formula tracking, peptide‐level proteomics, and targeted monomer quantification under varying redox conditions, together with FMO calculations reveal that ammonification is limited by medium molecular weight nitrogenous multimers.
Jing Li   +4 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

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