Characterization of the complete mitochondrial genome of <i>Hierococcyx sparverioides</i> and phylogenetic implications. [PDF]
Zhao G, Wu H, Zheng D, Ding Z.
europepmc +1 more source
ABSTRACT This study examines food price inflation rate convergence among EU27 Member States from 2005 to 2024, focusing on structural breaks, external shocks, and regional disparities. Using panel unit root tests and club convergence analysis, the findings reveal no overall convergence but identify multiple convergence clubs.
Tibor Bareith, Imre Fertő
wiley +1 more source
Mitochondrial Genome Sequencing and Phylogenetic Analysis of <i>Myotis pequinius</i> and <i>M. chinensis</i>. [PDF]
Wang X, Cao X, Guan H, Feng H, Liu S.
europepmc +1 more source
Food Security Strategy, Macroeconomic Dynamics and Food Import Sensitivity in Qatar
ABSTRACT Qatar has limited agricultural land and water resources and therefore remains highly dependent on food imports. This structural dependency makes Qatar vulnerable to external shocks such as the recent Gulf crisis, threatening food security and disrupting global supply chains. In response to previous shocks, Qatar started implementing a National
Hansini Ranjan +5 more
wiley +1 more source
Phylogeny and Selection Pressure of Genus <i>Chimarrogale</i> in China Based on Mitochondrial Genomes. [PDF]
Jiang J, Li X, Jian G, Li F.
europepmc +1 more source
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
A Novel Metal Forming Process Based on Upsetting with Two Movable Deformation Zones Demonstrated on Railway Axle Forming. [PDF]
Winiarski G.
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Lorentz skew scattering and giant nonreciprocal magneto-transport. [PDF]
Xiao C, Huang YX, Yang SA.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source

