- Energy Load and Power Forecasting
- MXene and MAX Phase Materials
- Grey System Theory Applications
- 2D Materials and Applications
- Energy and Environment Impacts
- GABA and Rice Research
- Advanced Nanomaterials in Catalysis
- Ferroelectric and Negative Capacitance Devices
- Boron Compounds in Chemistry
- Forecasting Techniques and Applications
- Climate Change, Adaptation, Migration
- Image and Signal Denoising Methods
- Fungal and yeast genetics research
- Nanoparticle-Based Drug Delivery
- Folate and B Vitamins Research
- Energy, Environment, and Transportation Policies
- Protease and Inhibitor Mechanisms
- Climate Change Policy and Economics
- Cancer Research and Treatment
- EEG and Brain-Computer Interfaces
- Sustainability and Climate Change Governance
- Biological Research and Disease Studies
- Genetics, Aging, and Longevity in Model Organisms
Swiss Federal Laboratories for Materials Science and Technology
2023-2024
ETH Zurich
2023-2024
ICLEI - Local Governments for Sustainability
2022
University of Cologne
1980
Abstract Engineering of catalytically active inorganic nanomaterials holds promising prospects for biomedicine. Catalytically metal oxides show applications in enhancing wound healing but have also been employed to induce cell death photodynamic or radiation therapy. Upon introduction into a biological system, are exposed complex fluids, causing interaction and adsorption ions proteins. While protein corona formation on is acknowledged, its modulation nanomaterial catalytic efficacy less...
Ti 3 C 2 T x MXenes, introduced in tumor tissues, amplify X-ray interactions to increase reactive oxygen species production, leading higher cancer cell death and potentially improved radiotherapy results.
Accurate mid-term (weeks to one year) hourly electricity load forecasts are essential for strategic decision-making in power plant operation, ensuring supply security and grid stability, energy trading. While numerous models effectively predict short-term (hours a few days) load, forecasting solutions remain scarce. In forecasting, besides daily, weekly, annual seasonal autoregressive effects, capturing weather holiday as well socio-economic non-stationarities the data, poses significant...
Accurate forecasts of the impact spatial weather and pan-European socio-economic political risks on hourly electricity demand for mid-term horizon are crucial strategic decision-making amidst inherent uncertainty. Most importantly, these essential operational management power plants, ensuring supply security grid stability, in guiding energy trading investment decisions. The primary challenge this forecasting task lies disentangling multifaceted drivers load, which include national...
Accurate mid-term (weeks to one year) hourly electricity load forecasts are essential for strategic decision-making in power plant operation, ensuring supply security and grid stability, energy trading. While numerous models effectively predict short-term (hours a few days) load, forecasting solutions remain scarce. In forecasting, besides daily, weekly, annual seasonal autoregressive effects, capturing weather holiday as well socio-economic non-stationarities the data, poses significant...
Radiotherapy is an integral part of cancer therapy. Due to the low tissue specificity radiation, damage tumor-surrounding healthy remains a major concern. Radio-enhancers based on inorganic nanomaterials have attracted considerable attention in recent years. In addition widely exploited metal and oxides nanoparticles, 2D materials may offer potential advantages due their intrinsically high specific surface area. Here, we report promising radio-enhancement properties Ti3C2Tx MXenes. We show...
EEG based sleep staging is commonly conducted at clinical setting, which may disturb patients' habits and thus impair study results. A non-invasive method of through cardiorespiratory signals body movement allow us to classify the stages <i>awake</i>, <i>light</i>, <i>deep</i> <i>REM</i> using random forest (RF) with good accuracy. The aim improve the latter by tuning RF hyperparameters. Statistical features size <i>p</i>=63 extracted from vital 13 nights healthy subjects were used as...