Results 101 to 110 of about 73,813 (288)

U.S. Agriculture, Biofuel Markets, and Trade: Challenges and Opportunities

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Using an enhanced Computable General Equilibrium (CGE) model (GTAP‐BIO), this study assesses how the expansion in demand for Electric Vehicles (EVs) and the reduction in exports of agricultural products induced by trade disputes negatively affect US agriculture.
Rayan Wolf, Farzad Taheripour
wiley   +1 more source

Experimental Study of the Effect of Exhaust Gas Recirculation (EGR) and Injection Timing on Emitted Emissions at Idle Period

open access: yesAl-Khawarizmi Engineering Journal, 2017
Heavy-duty diesel vehicle idling consumes fossil fuel and reduces atmospheric quality at idle period, but its restriction cannot simply be proscribed. A comprehensive tailpipe emissions database to describe idling impacts is not yet available. This paper
Miqdam Tariq Chaichan
doaj  

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani   +2 more
wiley   +1 more source

Improving CPU Energy Efficiency for Low Latency Use Cases With Software-Defined Core Labeling

open access: yesIEEE Access
In this paper, we address the energy efficiency problems in general-purpose servers used for low-latency use cases. In use cases with strict latency requirements, power-saving features of Central Processing Unit (CPU) such as CPU idle are typically ...
Ko Natori, Ikuo Otani, Kei Fujimoto
doaj   +1 more source

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

open access: yesAIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang   +3 more
wiley   +1 more source

Distribution and Moments of the Idle Period and Interarrival Time in the G/M/1 Queueing System

open access: yesIEEE Access
The Idle period is relevant in a wide variety of systems and has been extensively studied in the literature. This paper derives the distribution and moments of the idle period for different interrarrival time distributions in the G/M/1 queueing system ...
Felipe A. Cruz-Perez   +3 more
doaj   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

open access: yesAIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh   +3 more
wiley   +1 more source

AI vs. human touch: Comparing non-AI and AI-mediated informal digital learning of English (IDLE) and their associations with affective variables and L2 willingness to communicate

open access: yesActa Psychologica
The advancement of digital technologies has spurred a surge in research on informal digital learning of English (IDLE) in second language (L2) acquisition.
Ali Soyoof   +2 more
doaj   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

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