Results 41 to 50 of about 399,123 (289)

ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework

open access: yesAdvanced Science, EarlyView.
DSBs are the most critical genomic lesions. Using the ChromInSight framework, It is revealed that 3D chromatin structure, rather than linear distance, shapes cluster‐scene between hub‐Nodes and DSB loci. The “spatial isolation–damage containment” hypothesis is proposed to illustrate how the genome responds to genomic damage and offer a powerful tool ...
Kang Xu   +9 more
wiley   +1 more source

Convex Hull Pricing for Unit Commitment: Survey, Insights, and Discussions

open access: yesEnergies
Energy prices are usually determined by the marginal costs obtained by solving economic dispatch problems without considering commitment costs. Hence, generating units are compensated through uplift payments. However, uplift payments may undermine market
Farhan Hyder   +3 more
doaj   +1 more source

A Concave Hull Methodology for Calculating the Crown Volume of Individual Trees Based on Vehicle-Borne LiDAR Data

open access: yesRemote Sensing, 2019
Crown volume is an important tree factor used in forest surveys as a prerequisite for estimating biomass and carbon stocks. This study developed a method for accurately calculating the crown volume of individual trees from vehicle-borne laser scanning ...
Zhaojin Yan   +5 more
doaj   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam   +3 more
wiley   +1 more source

Convex-Hull Algorithms: Implementation, Testing, and Experimentation

open access: yesAlgorithms, 2018
From a broad perspective, we study issues related to implementation, testing, and experimentation in the context of geometric algorithms. Our focus is on the effect of quality of implementation on experimental results. More concisely, we study algorithms
A. N. Gamby, J. Katajainen
semanticscholar   +1 more source

Effect of Propagating Dopant Reactivity on Lattice Oxygen Loss in LLZO Solid Electrolyte Contacted with Lithium Metal

open access: yesAdvanced Energy Materials, EarlyView.
The decomposition of Nb‐substituted LLZO solid electrolytes is reported through a propagating reaction between Nb5+ dopants and the Li metal electrode. This work suggests dopants that segregate to interfaces/grain boundaries in LLZO will exhibit reactivity that can propagate into bulk and shed light on new mechanisms for the problematic role of oxygen ...
Michael J. Counihan   +17 more
wiley   +1 more source

Technological change, capital deepening, and agricultural total factor productivity (TFP) growth: Cross‐country comparison of 18 OECD countries

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs the data envelope analysis (DEA) to assess technological progress and its impact on agricultural total factor productivity (TFP) across 18 the Organization for Economic Cooperation and Development (OECD) countries from 1973 to 2015.
Yu Sheng
wiley   +1 more source

A categorical approach to abstract convex spaces and interval spaces

open access: yesOpen Mathematics, 2019
In this paper, we establish the axiomatic conditions of hull operators and introduce the category of interval spaces. We also investigate their relations with convex spaces from a categorical sense.
Wang Bing, Li Qing-Hua, Xiu Zhen-Yu
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

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