Results 71 to 80 of about 1,430,072 (322)

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

open access: yesAdvanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia   +4 more
wiley   +1 more source

Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches

open access: yesHeliyon
This paper introduces a type 2 fuzzy logic (T2FL)-based controller for maximum power point tracking (MPPT) in a high-gain three-level quadratic DC-DC boost converter (TLQDC-DCBC) designed for photovoltaic (PV) systems. High-gain DC-DC converters like the
Souheyb Mohammed Belhadj   +5 more
semanticscholar   +1 more source

Enabling Quantum‐Compatible Nonvolatile Memory: Cryogenic Evaluation of 1T1R HfO2‐Based RRAM From 300 to 1.5 K

open access: yesAdvanced Electronic Materials, EarlyView.
Resistive memory devices are explored for operation at extremely low temperatures relevant to quantum computing. The study reveals how transistor behavior strongly influences memory performance under cryogenic conditions and introduces an optimized programming strategy.
Emilio Pérez‐Bosch Quesada   +11 more
wiley   +1 more source

A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao   +9 more
wiley   +1 more source

Implementation and control of a new quadratic boost converter

open access: yes, 2023
This report presents the design, implementation, and control of the New Quadratic Boost Converter, which is an extension to the traditional DC-DC boost converter and Quadratic Boost Converter. The three controllers implemented are the sliding-mode
Lim, Yan Zuo
core  

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

open access: yesAgribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa   +1 more
wiley   +1 more source

Design of discrete time controllers for the DC-DC boost converter

open access: yesSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2016
In this paper, a small signal model for the boost converter is obtained. Two digital controllers using pole placement technique and Linear Quadratic Optimal Regulator (LQR) methods are designed and applied to the boost converter. The compensated system’
Mohammed Alkrunz , Irfan Yazıcı
doaj   +1 more source

Embedded-Based Quadratic Boost Converter With Sliding-Mode Controller for the Integration of Solar Photo-Voltaic Source With Microgrid

open access: yesIEEE Journal of the Electron Devices Society
A microgrid is a free-standing electrical network consisting of several energy sources and loads meant for specific applications or localized areas of operation.
S. Selvi   +4 more
semanticscholar   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Boosting Charge Storage in Ferri/Ferrocyanide‐Based Alkaline Redox Flow Batteries

open access: yesAngewandte Chemie, EarlyView.
By modifying the solvation environment, cation engineering through Li+ substitution of traditional K+ or Na+ boosts the alkaline solubility of the ferri/ferrocyanide catholyte redox couple, providing a viable pathway to overcome the long‐standing challenge of energy density limitations for aqueous redox flow batteries (RBFs).
Mahla Sarfaraz Khabbaz   +6 more
wiley   +2 more sources

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