Results 31 to 40 of about 7,472 (207)

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Efecto de la emulsificación sobre la actividad antimicrobiana del carvacrol [PDF]

, 2015
Este trabajo se basa en la emulsificación del carvacrol para su incorporación a jugos con el objetivo de retener su actividad antimicrobiana y mejorar la estabilidad del aceite en sistemas acuosos.
Char, Cielo Dolores, Cisternas, Lorena, Guerrero, Sandra N., Perez, Francisco   +3 more
core   +2 more sources

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang, Hyeok Yun, Kyeongrae Cho, Seungjoon Eom, Soomin Kim, Seongsoo Jeong, Rockhyun Baek   +6 more
wiley   +1 more source

A critical reappraisal of the carotid sinus and carotid bulb: Distinguishing neurohistological function from vascular geometry

The Anatomical Record, EarlyView.
This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose, Nicolae Radu, Mugurel Constantin Rusu   +2 more
wiley   +1 more source

Intravenous lanadelumab for the treatment of moderately ill COVID‐19 patients

British Journal of Clinical Pharmacology, EarlyView.
Aims Kallikrein‐kinin system (KKS) dysregulation is hypothesized to play a pathogenetic role in COVID‐19‐associated pulmonary oedema. To investigate the efficacy and safety of intravenous lanadelumab, a monoclonal antibody that inhibits plasma kallikrein, in COVID‐19, we conducted a phase 2, open‐label, randomized‐controlled, proof‐of‐concept ...
Job J. Engel, Christine van Linge, W. Joost Wiersinga, Ilse J. E. Kouijzer, Quirijn de Mast, Robert‐Jan Hassing, Danique J. H. Huijbens, Helen L. Leavis, Roger Schutgens, Coen Maas, Kit C. B. Roes, Frank L. van de Veerdonk, Roger Brüggemann   +12 more
wiley   +1 more source

How well do third-order aperture mass statistics separate E- and B-modes?

, 2014
With 3rd-order statistics of gravitational shear it will be possible to extract valuable cosmological information from ongoing and future weak lensing surveys which is not contained in standard 2nd-order statistics, due to the non-Gaussianity of the ...
Joachimi, Benjamin, Schneider, Peter, Shi, Xun   +2 more
core   +1 more source

The influence of rivers on seabird foraging ecology

Biological Reviews, EarlyView.
ABSTRACT Rivers act as vital arteries to the world's oceans, delivering fresh water and nutrients that sustain marine ecosystems. Globally, river flow increasingly is being altered by climate change and anthropogenic pressures; yet the significance of rivers to predatory marine species, such as seabirds, and the extent to which river‐related changes ...
Julia B. Morais, Andre Chiaradia, Richard D. Reina   +2 more
wiley   +1 more source

Innovating for Net‐Zero: Collaborative and Digital Decarbonisation Strategies in Sunset Industries' Global Value Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal, Narain Gupta, Ashem Emmanuel Egila, Jianwen Zheng, Attique ur Rehman, Justin Zuopeng Zhang, Remsei Sándor   +6 more
wiley   +1 more source

PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data

, 2018
Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However, misdiagnoses are common.
Karlen, Walter, Schwab, Patrick
core   +1 more source