Results 41 to 50 of about 40,198 (236)

The influence of storing high moisture-content rough rice on milling quality [PDF]

open access: yes, 2002
The objective of this research was to determine the influence on drying characteristics of storing high-moisture content (MC) rough rice under various conditions and durations before drying. Two cultivars of rice, \u27Bengal\u27, a medium-grain cultivar,
Manski, Julita M., Siebenmorgen, Terry
core   +2 more sources

Singular integral operators with rough convolution kernels [PDF]

open access: yesJournal of the American Mathematical Society, 1996
The author treats singular integral operators \(T\) with convolution kernel \(K\). He introduces the two quantities \[ V(\theta)= \sup_{R>0} \int^{2R}_R |K(r\theta)|r^{n-1} dr,\quad \theta\in S^{n-1}, \] and \[ \eta(\alpha)= \sup_{R\geq as} \int_{S^{n-1}} \int^{2R}_R |K((r- s)\theta)- K(r\theta)|r^{n-1} dr d\theta. \] Assuming \(T\) is bounded on \(L^2\
openaire   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Control of corn diseases in Illinois [PDF]

open access: yes, 1931
"In cooperation with Office of Cereal Crops and Diseases, Bureau of Plant Industry, U.S. Department of Agriculture.
Holbert, James R., Koehler, Benjamin
core  

A Remark on Multilinear Singular Integrals with Rough Kernels

open access: yesJournal of Mathematical Analysis and Applications, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pan, Yibiao, Wu, Qiang, Yang, Dachun
openaire   +2 more sources

WUSCHEL Transcription Factor: From Stem Cell Maintenance to Crop Improvement

open access: yesAdvanced Science, EarlyView.
This review synthesizes emerging insights into WUSCHEL (WUS) as a central regulator of plant stem cell fate beyond Arabidopsis, highlighting its roles in regeneration, somatic embryogenesis (SE), and stress adaptation across crops. It explores how WUS‐centered regulatory networks, genome editing, and AI‐guided strategies can be leveraged for precise ...
Zishan Ahmad   +6 more
wiley   +1 more source

Fuzzy rough based regularization in Generalized Multiple Kernel Learning

open access: yes2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Prasad, Yamuna, Biswas, K. K.
openaire   +2 more sources

Unveiling a Bulk WTaV Multicomponent Alloy With Superior Thermal Properties and Manufacturability

open access: yesAdvanced Science, EarlyView.
ABSTRACT Many tungsten (W)‐based medium and high entropy alloys (HEA) demonstrate superior microstructural stability and enhanced mechanical properties as compared to pure W, effectively rendering them as viable candidate materials for extreme environments such as nuclear fusion, aerospace applications, and so on.
Ishtiaque K. Robin   +11 more
wiley   +1 more source

Mechanism of Solid Solution‐Driven Texture Induced by Ag Doping in YBCO Superconductor

open access: yesAdvanced Science, EarlyView.
Ag‐doped YBCO with a designed concentration gradient is produced by dual‐material co‐extrusion and freeze‐drying. During annealing, Ag+ ions diffuse into Y123, substituting for Cu(1) and inducing c‐axis relaxation. This leads to the formation of [001]‐oriented YBCAO, creating a coherent interface that templates the textured growth of Y123. Consequently,
Fenyan Zhao   +4 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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