Results 151 to 160 of about 1,211,173 (298)

Geographic Information Systems. Chapter 2. Where we are today [PDF]

open access: yes, 2018
Coppens D'Eeckenbrugge, Geo   +2 more
core  

The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

open access: yesAdvanced Science, EarlyView.
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans   +8 more
wiley   +1 more source

Enhancing physician scientists' skills in Geographic Information Systems: insights from an interactive workshop. [PDF]

open access: yesAnn GIS
Aliyu MH   +9 more
europepmc   +1 more source

Geographic Information Systems (GIS) to Assess Dental Caries, Overweight and Obesity in Schoolchildren in the City of Alfenas, Brazil. [PDF]

open access: yesInt J Environ Res Public Health, 2023
Ramirez I   +10 more
europepmc   +1 more source

Study of Free‐Space Optical Quantum Network: Review and Prospectives

open access: yesAdvanced Science, EarlyView.
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley   +1 more source

Emergency Medicine at the Frontline of Climate Change: The Role of Geographic Information Systems. [PDF]

open access: yesWest J Emerg Med
Surapaneni T   +6 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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