ABSTRACT Alpine sandy land on the Tibetan Plateau is fragile, with poorly developed soils, low nutrient availability, and weak biological resilience. Vegetation restoration is widely used to improve soil functioning, yet how microbial nutrient limitation and life‐history strategies vary among restoration modes remains unclear.
Linna Jiang +9 more
wiley +1 more source
AI-Aquatica-RS: A Modular Python Framework for Reproducible Fusion of Remote-Sensing-Derived Spectral Indices and In Situ Water-Quality Observations. [PDF]
Miller T, Durlik I.
europepmc +1 more source
ABSTRACT Previous studies often overlooked the dynamic effects of karst vegetation restoration on soil multi‐trophic biodiversity and the underlying community‐assembly mechanisms. To fill this gap, we performed a seasonal comparative analysis of soil biodiversity, co‐occurrence network architecture, and assembly processes across three representative ...
Xiang Zhang +8 more
wiley +1 more source
Ecological theory sheds light on plasmid diversity and dynamics. [PDF]
Tuffet R +5 more
europepmc +1 more source
Are Start‐Up Acquisitions by Dominant Firms Driving Innovation or Killing Competition?
ABSTRACT This paper develops a sequential model to examine start‐up acquisitions in markets with network externalities, incorporating a pre‐entry strategic buyout option that allows the incumbent to integrate the start‐up's innovation, followed by post‐entry expenditure on coordination advertising, and defensive pricing strategies.
Adele Whelan, Kate Hynes
wiley +1 more source
Machine learning driven reservoir property modeling of the AEB-3E reservoir in the Berenice field Egypt. [PDF]
Eid AM, Mabrouk WM, Amer M, Metwally A.
europepmc +1 more source
We developed a multimodal large language model‐enabled framework for the early detection, self‐screening, and personalized management of major musculoskeletal disorders, including osteoarthritis (OA), rheumatoid arthritis (RA), and osteoporosis (OP).
Pengyuan Xu +32 more
wiley +1 more source
A methodological analysis of systematic reviews of cost-effectiveness in screening, diagnosis, and treatment of colorectal cancer. [PDF]
Velásquez MA, Bachelet VC.
europepmc +1 more source
Machine Learning‐Guided Design of Cu–Ni–Sn Alloys With Tailored Ni3Sn/Ni3Sn2 Precipitates
To address the trade‐off between strength and conductivity in Cu–Ni–Sn alloys, this study proposes a new closed‐loop design strategy that integrates machine learning, thermodynamic calculations, and experimental verification from the perspective of “phase selectivity”, providing a new approach for multiphase control and synergistic improvement of multi‐
Fei Tan +10 more
wiley +1 more source
Comparative Evaluation of Machine Learning Algorithms for Fault Diagnosis in Automotive Press Lines. [PDF]
Oner AE, Bayraktar M.
europepmc +1 more source

