Results 91 to 100 of about 121,428 (266)

Xenogeneic Mitochondrial Transplantation Improves Selected Age‐Associated Phenotypes in Mice

Advanced Science, EarlyView.
Yak‐derived xenogeneic mitochondrial transplantation improves selected age‐associated phenotypes in mice, enhances mitochondrial functional readouts, and engages host mitochondrial quality‐control pathways. Broad tissue biodistribution, increased ATP production and mtDNA copy number, reduced ROS levels and dysfunctional mitochondria, improved motility ...
Wenpeng Li, Xijia Wang, Yaning Hu, Zhen Yang, Tian Niu, Xingbo Zhao   +5 more
wiley   +1 more source

An approach to the integral optimization of investment portfolios

Journal of Open Innovation: Technology, Market and Complexity
A comprehensive approach to the optimization of financial portfolios is provided by the Integral Analysis Method (IAM), which comprises four steps: The description of the problem is followed by three mathematical steps, namely, cardinal analysis, ordinal
Rafael Guillermo García-Cáceres, Franklin Ignacio Páez-Rivera, Bernarda Aldana-Gómez, Ernesto Acosta-Gempeler, John Wilmer Escobar-Velásquez   +4 more
doaj   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source

Estimating the Minimum Sample Size for Neural Network Model Fitting—A Monte Carlo Simulation Study

Behavioral Sciences
In the era of machine learning, many psychological studies use machine learning methods. Specifically, neural networks, a set of machine learning methods that exhibit exceptional performance in various tasks, have been used on psychometric datasets for ...
Yongtian Cheng, Konstantinos Vassilis Petrides, Johnson Li   +2 more
doaj   +1 more source

Kenyan Farmers' Policy Priorities During Economic Crisis and Stability: Insights From a Best‐Worst Scaling Experiment

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia, John Olwande, Jacob Ricker‐Gilbert, David L. Mather, Nicole M. Mason   +4 more
wiley   +1 more source

A causal inference method for athletic injuries based on quantile threshold functions and latent Gaussian DAG models

Frontiers in Public Health
IntroductionCausal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) has established itself as an indispensable tool in the ...
Tao Xie, Yaxian Hao, Fen Xie
doaj   +1 more source

Variable Selection and Basis Learning for Ordinal Classification

Journal of Computational and Graphical Statistics
We propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discriminant analysis, with the aim of identifying not only the variables relevant to discrimination but also the variables that are order-concordant with the responses.
Minwoo Kim, Sangil Han, Jeongyoun Ahn, Sungkyu Jung   +3 more
openaire   +2 more sources

Labeling Quality or Quantity? The Differential Impact of Geographical Indications on Export Performance in Turkish Agri‐Food Products

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley   +1 more source

Drivers of Precision Agriculture Adoption in Italian Viticulture

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the main drivers influencing the adoption of two types of precision farming technologies in the viticultural sector: Decision Support Systems (DSSs) and Variable Rate Technologies (VRTs). We apply a partial proportional odds model and find that socio‐demographic characteristics are not significant determinants of adoption ...
Olimpia Fontana, Linda Arata, Margherita Muzzillo, Paolo Sckokai   +3 more
wiley   +1 more source

Farmers' Financial Literacy—Scale Development and Linkages to Accounting Practices and Financial Outcomes

Agribusiness, EarlyView.
ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley   +1 more source