Results 131 to 140 of about 247,001 (308)

Modular generalized Springer correspondence: an overview [PDF]

, 2016
This is an overview of our series of papers on the modular generalized Springer correspondence. It is an expansion of a lecture given by the second author in the Fifth Conference of the Tsinghua Sanya International Mathematics Forum, Sanya, December 2014,
Achar, Pramod N., Henderson, Anthony, Juteau, Daniel, Riche, Simon   +3 more
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AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Integrated Evaluation of Contaminant Profiles, Detection Techniques, and Management Strategies for Tannery Sludge

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This review article critically examines the environmental and health hazards of tannery sludge (TS), a complex by‐product of the leather tanning industry. TS is characterized by a diverse array of contaminants, including heavy metals like chromium, organic pollutants such as polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds ...
Yashar Aryanfar, Ali Keçebaş, Soheil Hassanzadeh, Arash Nourbakhsh Sadabad, Farhan Lafta Rashid, Shabbir Ahmad, Ahmed Hendy, Hafiz M. Irfan, Shaban Mousavi Ghasemlou, Julio Blanco Fernandez, Jorge Luis Garcia Alcaraz   +10 more
wiley   +1 more source

Reduced Numerical Approximation of Reduced Fluid-Structure Interaction Problems With Applications in Hemodynamics

Frontiers in Applied Mathematics and Statistics, 2018
This paper deals with fast simulations of the hemodynamics in large arteries by considering a reduced model of the associated fluid-structure interaction problem, which in turn allows an additional reduction in terms of the numerical discretisation.
Claudia M. Colciago, Simone Deparis
doaj   +1 more source

Alloying Cu, Fe, and Co in Ni/YSZ Electrodes for High‐Temperature CO2 Electrolysis: Impact on TPB Density, Activity, and Carbon Deposition Resistance

Carbon Energy, EarlyView.
Systematic alloying of Ni with Cu, Fe, and Co in Ni/YSZ electrodes modifies active site density up to 43%, decreases activation energies by up to 44%, and reduces carbon deposition fourfold. Cu–Ni alloy is among the most promising alloy catalysts for electrochemical CO2 reduction in SOECs.
Min Jun Oh, Sooin Lee, Jeeho Hong, Kyung Joong Yoon, Ho‐Il Ji, Ji‐Won Son, Jong‐Ho Lee, Kyeounghak Kim, Jongsup Hong, Sungeun Yang   +9 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

Review of recent advances in the design, synthesis, and modification of biochar for remediation of heavy metal pollution in water

The Canadian Journal of Chemical Engineering, EarlyView.
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma, Mehedi Hasan, Sudip K. Rakshit, Janusz Kozinski, Kang Kang   +4 more
wiley   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Asymptotic properties of cross‐classified sampling designs

Canadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

Agricultural productivity growth in the European Union and transition countries [PDF]

Malmquist total factor productivity (TFP) index has been extensively applied in the literature to measure productivity growth decomposition. This study applies a parametric decomposition of a Generalized Malmquist TFP index to measure and compare the ...
Lissitsa, Alexej, Rungsuriyawiboon, Supawat   +1 more
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