Results 111 to 120 of about 13,505 (283)

Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation

Advanced Science, EarlyView.
Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li, Yongqiang Chen, Dong Ding, Xuehai Zhang, Xuxiang Jia, Zhanhui Zhang, Yafei Wang, Weihua Li, Hui Zhang, Jihua Tang   +9 more
wiley   +1 more source

Precision Lignocellulosic Biorefinery: Process Regulation From Corn Stover to Products

Advanced Science, EarlyView.
This study presents a precision biorefinery framework that transforms corn stover into high‐value bioproducts through whole‐process regulation. Mechanical fractionation separates feedstock into parenchyma‐rich short fibers and vascular‐bundle‐dominant long fibers.
Xue‐Cheng Lin, Lan Wang, Tai‐Ran Pang, Ming‐Yuan Yin, Hong‐Zhang Chen   +4 more
wiley   +1 more source

AI-Driven Resilient Reverse Logistics Network for Electric Vehicle Battery Circular Economy: A Deep Reinforcement Learning Approach with Multi-Objective Optimization Under Disruption Uncertainty

Energies
The rapid growth of electric vehicles (EVs) has created an urgent need for sustainable end-of-life battery management systems. This paper presents a novel AI-driven framework for designing resilient reverse logistics networks that optimize the collection, testing, repurposing, and recycling of EV batteries within a circular economy context.
openaire   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Models for industry differentiation in decision-making systems with an application to the Ukrainian economy

Радіоелектронні і комп'ютерні системи
This article is devoted to the study of the problem of using adaptive models of differentiation of sectors of the real sector of the economy as a key component of modern decision support systems (DSS).
Alina Hlushko, Oleksandr Laktionov, Alina Yanko, Oleksandr Isaiev   +3 more
doaj   +1 more source

National economy

, 2012
Навчальний посібник розроблено відповідно до програми нормативної навчальної дисципліни «Національна економіка». Він призначений для ефективного засвоєння студентами програмного матеріалу та їх самостійної роботи.
Сментына, Н.В., Сментина, Н.В., Smentyna, N.   +2 more
core  

The Political Economy of Latin America

, 2004
Components: “The Political Economy of Latin America” (Course Description and Bibliography; Post-Secondary)Latin American ...
Daneshyar, Arifeen
core   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

KEEFEKTIFAN PAUD INKLUSI PADA KESIAPAN ANAK MEMASUKI SEKOLAH DASAR

Jurnal Pendidikan dan Pemberdayaan Masyarakat, 2015
This research aims to reveal the effectiveness of the inclusive ECCD on the level of child readiness to enter primary school. This research was conducted qualitive approach.
Yuni Dhamayanti, Suparno Suparno
doaj