Results 91 to 100 of about 3,947,290 (367)

ANOMALOUS GEOCHEMICAL FIELD OF THE CHERTOVO KORYTO GOLD DEPOSIT (LENSKY ORE DISTRICT)

open access: yesИзвестия Томского политехнического университета: Инжиниринг георесурсов, 2019
The relevance of the study is caused by the need to improve the efficiency of forecasting and prospecting for ore gold based on geochemical data. The aim of the research is to develop a model of the anomalous structure of the geochemical field of the ...
Roman Yu. Gavrilov
doaj   +1 more source

Thermally Induced Gelling Systems Based on Patchy Polymeric Micelles

open access: yesAdvanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
A novel strategy to design thermally induced gelling systems with tunable material properties is reported. Polymeric mixed‐shell micelles displaying multiple thermosensitive patchy domains formed hydrogels by assembling into well‐entangled worm‐like network structures upon heating to body temperature. The patchy micelle design significantly affects the
Binru Han   +9 more
wiley   +1 more source

Biologically‐Inspired Melt Electrowriting for the Generation of Highly Biomimetic Functional Myocardium

open access: yesAdvanced Functional Materials, EarlyView.
In this work, melt electrowriting is used to fabricate a 3D printed scaffold design that generates engineered cardiac tissues with in‐plane contraction, mimicking natural myocardium. It is shown that these tissues display advanced maturation and functionality.
Olalla Iglesias‐García   +23 more
wiley   +1 more source

Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii

open access: yes, 2006
Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii [arXiv:0708.0083]Comment: Published at http://dx.doi.org/10.1214/009053606000001037 in the Annals of Statistics (
Blanchard, Gilles, Massart, Pascal
core   +7 more sources

Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective

open access: yesApplied Computational Intelligence and Soft Computing
Heart disease stands as a leading cause of morbidity and mortality globally, presenting a significant public health challenge. Therefore, early prediction and detection are critical, leading to timely and appropriate interventions at early stages.
Enoch Sakyi-Yeboah   +7 more
doaj   +1 more source

Interpretable Parkinson’s Disease Detection Using Group-Wise Scaling

open access: yesIEEE Access
This study is aimed at detecting Parkinson’s disease by analyzing voice measurements made using a mobile phone. The key objectives include creating a model that ensures accurate predictions while maintaining interpretability, consistent with the ...
Niloofar Momeni   +2 more
doaj   +1 more source

Estimates of serial interval for COVID-19: A systematic review and meta-analysis

open access: yesClinical Epidemiology and Global Health, 2021
Background: On 11th March 2020, the World Health Organization declared COVID-19 as Pandemic. The estimation of transmission dynamics in the initial days of the outbreak of any infectious disease is crucial to control its spread in a new area.
Balram Rai   +2 more
doaj  

Interfacial Contact Engineering Enables Giant‐Performance Semiconductor Nanomembrane Optoelectronic Devices

open access: yesAdvanced Functional Materials, EarlyView.
This work investigates modifying interfacial contacts in realizing giant‐performance semiconductor nanomembrane optoelectronics. Strategies, including surface reaction and buffer layer work‐function modulation, are explored to boost the Schottky barrier. An emerging material of YbOx is utilized for near‐ideal Ohmic contact.
Yibo Zhang   +5 more
wiley   +1 more source

A Conversation with George G. Roussas

open access: yes, 2011
George G. Roussas was born in the city of Marmara in central Greece, on June 29, 1933. He received a B.A. with high honors in Mathematics from the University of Athens in 1956, and a Ph.D.
Bhattacharya, Debasis   +1 more
core   +1 more source

De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods

open access: yesJournal of Big Data
Increasingly, automatic face recognition algorithms have become necessary with the development and extensive use of face recognition technology, particularly in the era of machine learning and artificial intelligence.
Joseph Agyapong Mensah   +4 more
doaj   +1 more source

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