Results 111 to 120 of about 4,960,323 (312)

Analytical formula for harmonic elimination problem in multilevel inverter

open access: yes
This paper presents a solution of the selective harmonic elimination problem in multilevel converters based on an analytical formula. Three phase l-level cascaded H-bridges (CHB) inverters with l = 2s + 1, s = 2n number of both dc sources and switching ...
Ghasemian A.   +9 more
core   +1 more source

Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis

open access: yesAdvanced Science, EarlyView.
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu   +7 more
wiley   +1 more source

GHRHR Deficiency Enhances Retinal Ganglion Cell Survival and Visual Functions in Experimental Glaucoma by Inhibiting Ferroptosis

open access: yesAdvanced Science, EarlyView.
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong   +24 more
wiley   +1 more source

DSPACE Implementation of A Generalized Method of Harmonic Elimination for PWM Boost Type Rectifier under Unbalanced Operating Conditions [PDF]

open access: yes, 2008
In this thesis, the implementation of a generalized method of harmonic elimination for the PWM boost type rectifier under severe fault conditions in the power system is presented.
Chen, Ke
core  

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

open access: yesAdvanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale   +6 more
wiley   +1 more source

Recursive Selective Harmonic Elimination for Multilevel Inverters: Mathematical Formulation and Experimental Validation

open access: yesIEEE Journal of Emerging and Selected Topics in Power Electronics, 2023
C. Buccella   +6 more
semanticscholar   +1 more source

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

open access: yesAdvanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang   +14 more
wiley   +1 more source

Harmonic elimination procedure for cascaded multilevel inverters having a particular even number of dc sources

open access: yes, 2018
This paper proposes an efficient analytical harmonic elimination procedure valid for cascaded multilevel converters having s dc sources and a number of level l = 2s+1 with s = 2 n n = 1, 2, 3, ... .
Cecati, C.   +13 more
core   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

open access: yesAdvanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu   +3 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy