Results 191 to 200 of about 15,648,464 (247)

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification

Advanced Intelligent Systems, EarlyView.
We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson, Mengtao Sun, Xinchao Wu, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

American Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich, Valerio Giuffrida, Bruno Martorano, Georg Schmerzeck, Marco Tiberti   +4 more
wiley   +1 more source

Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source

Farm labor scarcity and its uneven impacts on crop producers in the United States

American Journal of Agricultural Economics, EarlyView.
Abstract This study is the first to evaluate the impacts of farm labor scarcity on producers in the United States across different crop production systems. Between 2002 and 2017, we disentangle the effects of labor scarcity from the impacts of rising commodity demand, technological change, and supply of other inputs on labor market outcomes.
Srabashi Ray, Alexandra E. Hill, Iman Haqiqi, J. Edward Taylor, Thomas W. Hertel   +4 more
wiley   +1 more source

Using pre‐ and post‐entry data to identify the effect of ethanol plant entry on the spatial pattern of corn prices: A study in Indiana

American Journal of Agricultural Economics, EarlyView.
Abstract We estimate the long‐run effect of ethanol plant entry on local corn prices using a long‐horizon difference‐in‐differences framework that combines matching with fixed effects while explicitly accounting for treatment intensity and spatial heterogeneity.
Jinho Jung, Juan P. Sesmero, Ralph Siebert   +2 more
wiley   +1 more source

Placing very long branch taxa in the plant tree of life: A case study with Dioscoreales mycoheterotrophs

American Journal of Botany, EarlyView.
Abstract Premise The inclusion of heterotrophic plants in broader systematic studies is challenging due to substantial morphological modification, gene loss, and accelerated substitution rates following photosynthesis loss. In particular, inclusion of very long branch (VLB) taxa with highly elevated rates may lead to phylogenomic misinference.
Marybel Soto Gomez, Qianshi Lin, Nathaniel J. Klimpert, Vivienne K. Y. Lam, Juan Viruel, Vincent S. F. T. Merckx, Paula J. Rudall, Sean W. Graham   +7 more
wiley   +1 more source

Species with U‐shaped geographic ranges as an opportunity to study early stages of divergence: The case of Ipomoea microsepala

American Journal of Botany, EarlyView.
Abstract Premise The study of the early stages of divergence between populations is crucial to understanding how species and biodiversity originate. Geographic distributions that capture some aspects of the process of divergence, such as those that are markedly U‐shaped, could offer a window to identify systems undergoing incipient speciation, which ...
Itzel A. Piña‐de la Rosa, N. Ivalú Cacho   +1 more
wiley   +1 more source