Results 141 to 150 of about 1,432,311 (298)

Spatial and Temporal Patterns of Extreme Hourly Rainfall in the Hawaiian Islands

open access: yesInternational Journal of Climatology, EarlyView.
The extreme rainfall trends in Hawaiʻi were revealed by hourly rainfall data: Across islands, Kauaʻi and Hawaiʻi Island had larger events at a return period. Annual maximum series of 15 gauges showed significant positive trends. While extreme rainfall trends show increases or decreases regionally, the trends varied with rainfall duration.
Maxime Gayte   +5 more
wiley   +1 more source

Comparing two non-compensatory composite indices to measure changes over time: a case study [PDF]

open access: yes, 2015
Composite indices are increasingly recognized as a useful tool to measure socio-economic phenomena such as quality of life, competitiveness, development, and poverty.
Pareto, A   +3 more
core  

The Impact of New Agricultural Operating Entities on Farmers' Adoption of Green Production Practices: Evidence From China

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT New agricultural operating entities (NAOEs) are the organizational core of modern agricultural systems, yet whether and how they draw smallholders into green production remains empirically unsettled. Using survey data from 803 vegetable growers in Shandong Province, China, and combining the coefficient of variation method, propensity score ...
Xiaoying Zhao, Qingzhi Liu, Zeyuan Li
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

open access: yesMedicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

Hierarchical Multi-Population Cooperative Evolutionary Approach for Constrained Multi-Objective Optimization

open access: yesMathematics
To address the complexity of multi-constraint multi-objective optimization problems (mCMOPs), this paper proposes a novel multi-population evolutionary algorithm (MOEA).
Xinyue Xiang   +3 more
doaj   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

open access: yesMaterials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo   +11 more
wiley   +1 more source

A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem

open access: yesScientific Reports
In recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, as a new research topic.
Jiale Zhao   +5 more
doaj   +1 more source

Inference for double Pareto lognormal queues with applications [PDF]

open access: yes, 2008
In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and
Lillo Rodríguez, Rosa Elvira   +3 more
core  

Improved Accuracy of Multidimensional Spatially‐Selective Saturation RF Pulses for Short‐Repetition‐Time Steady‐State Imaging

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce and evaluate a novel RF pulse design algorithm for multi‐dimensional spatially tailored excitation that is optimized for spoiled steady‐state gradient echo MRI sequences. Methods Existing multi‐dimensional RF pulse design algorithms optimize RF and gradient waveforms using a loss function based on a single RF pulse ...
Yongli He   +2 more
wiley   +1 more source

The 2‐D Orthogonal Packing Problem With Multiple Levels of Prioritization: A Spatial Optimization Perspective

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT This paper addresses two‐dimensional orthogonal packing within a confined space, integrating bin packing principles with facility layout concepts to address scenarios in which items must not only fit but also be arranged according to spatial priorities.
William K. Kirschenman   +4 more
wiley   +1 more source

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