Results 81 to 90 of about 2,610,867 (326)
Advanced Functional Materials, EarlyView.The carbon cloth electrode with targeted pyridinic nitrogen doping, achieved via urea pyrolysis, effectively modulates the adsorption of Cr(II) species and enhances electron transfer, leading to significantly improved kinetics of the Cr(II)/Cr(III) reaction. The material demonstrates a high discharge capacity of 689.3 mAh and an energy efficiency of 72.
Jinfeng Yi +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A flexible hybrid patch integrating a robust cold atmospheric plasma (CAP) system with a high‐power, ultrathin bio‐OLED was developed to enable synergistic wound healing. This multimodal therapy, combining plasma and photodynamic treatment, enhanced angiogenesis, cell proliferation, and collagen deposition, demonstrating superior in vivo efficacy and ...
Jun‐Yeop Song +11 more
wiley +1 more source
The intrinsic value of HFO features as a biomarker of epileptic activity
, 2015 High frequency oscillations (HFOs) are a promising biomarker of epileptic brain tissue and activity. HFOs additionally serve as a prototypical example of challenges in the analysis of discrete events in high-temporal resolution, intracranial EEG data ...
Gliske, Stephen V. +3 more
core +1 more source
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
Advanced Functional Materials, EarlyView.This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source
When Can Matrix Query Languages Discern Matrices?
, 2020 We investigate when two graphs, represented by their adjacency matrices, can be distinguished by means of sentences formed in MATLANG, a matrix query language which supports a number of elementary linear algebra operators. When undirected graphs are concerned, and hence the adjacency matrices are real and symmetric, precise characterisations are in ...
openaire +3 more sources
Geographic Information Systems and Decision Processes for Urban Planning: A Case Study of Rough Set Analysis on the Residential Areas of the City of Cagliari, Italy [PDF]
In Italy, urban planning is based on the city Masterplan. This plan identifies the future urban organization and a system of zoning rules. Land-use policies are based on these rules.
Corrado Zoppi, Sabrina Lai
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Propositional Satisfiability Method in Rough Classification Modeling for Data Mining [PDF]
, 2002 The fundamental problem in data mining is whether the whole information available is always necessary to represent the information system (IS). The goal of data mining is to find rules that model the world sufficiently well.
Abu Bakar, Azuraliza
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Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films
Advanced Functional Materials, EarlyView.Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee +5 more
wiley +1 more source
Attribute Reduction Based on Rough Approximation Set in Algebra and Information Views
IEEE Access, 2016 Rough set proposed by Pawlak in 1982 is an important tool to process uncertain information. As an extended model of rough set, an approximation set model of rough set was proposed and proved to be feasible to establish an approximation target set with ...
Qinghua Zhang +2 more
doaj +1 more source
Indicator selection based on Rough Set Theory [PDF]
, 2009 A method for indicator selection is proposed in this paper.The method, which adopts the General Methodology and Design Research approach, consists of four steps: Problem Identification, Requirement Gathering, Indicator Extraction, and Evaluation.
Abu Bakar, Azuraliza +2 more
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