Results 111 to 120 of about 9,370 (287)

Integrating Perennial Groundcover in Corn and Soybean Acres: Impacts on U.S. Agriculture

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Sustainable agricultural practices such as cover cropping can improve soil health, water quality, and carbon sequestration, yet U.S. adoption remains limited due to economic and operational barriers. We evaluate market and economic impacts of integrating perennial groundcover into U.S.
Sagar Dahal, Amani Elobeid, John Crespi
wiley   +1 more source

Challenges for enhanced network self-manageability in the scope of future internet development [PDF]

, 2011
The work examines perspectives from the inclusion of the autonomicity and self-manageability features in the scope of Future Internet's (FI) deployment.
Spiliopoulou, A.S., Chochliouros, I.P., Alonistioti, N.   +2 more
core  

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

Annals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya, Koichi Yagi, Yoshifumi Baba   +2 more
wiley   +1 more source

Taxonomy for the assessment of the subjective experience of curly hair manageability [PDF]

Objectives This paper aims to develop and validate a taxonomy for the assessment of the subjective experience of curly hair manageability. It represents the latter of two iterative stages of a mixed-method design interdisciplinary project.
Daniels, Gabriela, Heitmayer, Maxi
core   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Functionality, Availability, Agility, Manageability, Scalability -- The new priorities of application design [PDF]

, 2001
Introduction Traditionally, enterprise systems have worried a great deal about scalability, availability, and manageability. There have been heated debates and competition in the scalability arena, with proponents of ScaleUp and ScaleOut each making ...
Jim Gray Microsoft, Jim Gray
core  

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Ambiguity, manageability and orchestration: implementing and coping with complex organisational change in elite soccer [PDF]

, 2018
Within elite football in England, an ‘academy’ is an organisational context operated by a football club, in which the coaching and the education of youth football players aged from under 9 to under 21 is organised in accordance with the rules and ...
Groom, R., Gibson, L., Potrac, P., Nelson, L.   +3 more
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