Covid-19 mobility restrictions: impacts on urban air quality and health

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Metabolic changes precede malignant histology. However, it remains unclear whether detectable characteristic metabolome exists in esophageal squamous cell carcinoma (ESCC) tissues and biofluids for early diagnosis. Here, we conduct NMR- and MS-based metabo ...

Atmospheric Black Carbon (BC) is one of the absorbing components of solar radiation which potentially affects human health and regional climate. In the current study, BC mass concentrations were regularly observed for pre-monsoon and monsoon seasons using ...

Cross-field transport of particles in the boundary region of magnetically confined fusion plasmas is dominated by turbulence. Blobs, intermittent turbulent structures with large amplitude and a filamentary shape appearing in the scrape-off layer (SOL), are ...

Learning how to reach a reward over long series of actions is a remarkable capability of humans, and potentially guided by multiple parallel learning modules. Current brain imaging of learning modules is limited by (i) simple experimental paradigms, (ii) e ...

To monitor local and global COVID-19 outbreaks, and to plan containment measures, accessible and comprehensible decision-making tools need to be based on the growth rates of new confirmed infections, hospitalization or case fatality rates. Growth rates of ...

Air pollutant accumulations during wintertime persistent cold air pool (PCAP) events in mountain valleys are of great concern for public health worldwide. Uncertainties associated with the simulated meteorology under stable conditions over complex terrain ...

Entre mai et juin 2020, des citoyen.ne.s scientifiques de toute la Suisse ont répondu à cette question dans des groupes de réflexion : les Citizen Think Tanks. Avec des chercheuses et chercheurs de l’EPFL, ils ont élaboré des scénarios pour l’avenir après ...

Learning-based algorithms have gained great popularity in communications since they often outperform even carefully engineered solutions by learning from training samples. In this paper, we show that the selection of appropriate training examples can be im ...

For more than two decades since the rise of the World Wide Web, the "Notice and Choice" framework has been the governing practice for the disclosure of online privacy practices. The emergence of new forms of user interactions, such as voice, and the enforc ...

Covid-19 mobility restrictions: impacts on urban air quality and health

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NMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection

High concentration of black carbon in northern Pakistan: Characteristics, source apportionment and emission source regions

Estimating cross-field particle transport at the outer midplane of TCV by tracking filaments with machine learning

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Range of reproduction number estimates for COVID-19 spread

Confronting Uncertainties of Simulated Air Pollution Concentrations during Persistent Cold Air Pool Events in the Salt Lake Valley, Utah

Mon logement à l’épreuve du confinement : Quelles orientations pour l’après ?

Training Channel Selection for Learning-based 1-bit Precoding in Massive MU-MIMO

Invited Paper: The Applications of Machine Learning in Privacy Notice and Choice