A5004665796- Inertial Sensor and Navigation
- Statistical and numerical algorithms
- Geophysics and Gravity Measurements
- Target Tracking and Data Fusion in Sensor Networks
- Innovations in Medical Education
- GNSS positioning and interference
- French Urban and Social Studies
- Sperm and Testicular Function
- Diversity and Career in Medicine
- Health, Medicine and Society
- Time Series Analysis and Forecasting
- Reproductive Biology and Fertility
- Aging, Elder Care, and Social Issues
- Medical Education and Admissions
- Statistical Methods and Inference
- Insect and Pesticide Research
- Control Systems and Identification
- Scientific Measurement and Uncertainty Evaluation
- Probabilistic and Robust Engineering Design
- Machine Learning and Data Classification
- Simulation Techniques and Applications
- Sensor Technology and Measurement Systems
- Cancer Genomics and Diagnostics
- Empathy and Medical Education
- Advanced Measurement and Metrology Techniques
University of Geneva
2020-2025
HES-SO Genève
2011
Medical students' career intentions often change between matriculation and graduation, yet little is known about the precise timing dynamics of individual decisions. This study expands on previous research by exploring stability over four years analyzing associations unstable characteristics.Medical students from two classes were recruited into a cohort during their first academic year completed yearly survey four-year period (end pre-clinical curriculum to graduation). Measures included...
Abstract Background Medical schools can contribute to the insufficient primary care physician workforce by influencing students’ career preferences. Primary choice evolves between matriculation and graduation is influenced several individual contextual factors. This study explored longitudinal dynamics of intentions association motives for becoming doctors with these in a cohort undergraduate medical students followed over four-year period. Methods The sample consisted from two classes...
We propose a new approach for designing personalized treatment colorectal cancer (CRC) patients, by combining ex vivo organoid efficacy testing with mathematical modeling of the results.The validated phenotypic called Therapeutically Guided Multidrug Optimization (TGMO) was used to identify four low-dose synergistic optimized drug combinations (ODC) in 3D human CRC models cells that are either sensitive or resistant first-line chemotherapy (FOLFOXIRI). Our findings were obtained using second...
The global navigation satellite system (GNSS) daily position time series are often described as the sum of stochastic processes and geophysical signals which allow to study local geodynamical effects such plate tectonics, earthquakes, or ground water variations. In this work, we propose extend Generalized Method Wavelet Moments (GMWM) estimate parameters linear models with correlated residuals. This statistical inferential framework is applied GNSS time-series data jointly functional...
Empathy plays a pivotal role in healthcare professions, influencing patient satisfaction and treatment outcomes. Understanding the determinants of empathy medical students is essential. However, findings from previous studies have been inconsistent. We hypothesized that part this variability may be attributed to influence geo-sociocultural context. In study, we aimed compare longitudinal four cohorts two distinct backgrounds. This study included 199 Porto Alegre, Brazil Geneva, Switzerland...
The sperm-specific channel CatSper (cation of sperm) controls the intracellular Ca2+ concentration ([Ca2+]i) and plays an essential role in sperm function. It is mainly activated by steroid progesterone (P4) but also promiscuously a wide range synthetic physiological compounds. These compounds include diverse steroids whose action on so far still controversial. To investigate effect these function, we developed high-throughput screening (HTS) assay to measure changes [Ca2+]i human screened...
In this work we address the problem of rigorously evaluating performances an inertial navigation system during its design phase in presence multiple alternative choices. We introduce a framework based on Monte-Carlo simulations which standard extended Kalman filter is coupled with realistic and user-configurable noise generation mechanisms to recover reference trajectory from noisy measurements. The evaluation several statistical metrics solution, aggregated over hundreds simulated...
The exponential growth in data sizes and storage costs has brought considerable challenges to the science community, requiring solutions run learning methods on such data. While machine scaled achieve predictive accuracy big settings, statistical inference uncertainty quantification tools are still lagging. Priority scientific fields collect vast understand phenomena typically studied with like regression. In this setting, regression parameter estimation can benefit from efficient...
The measurement of data over time and/or space is utmost importance in a wide range domains from engineering to physics. Devices that perform these measurements therefore need be extremely precise obtain correct system diagnostics and accurate predictions, consequently requiring rigorous calibration procedure which models their errors before being employed. While the deterministic components do not represent major modelling challenge, most research past years has focused on delivering...
The measurement of data over time and/or space is utmost importance in a wide range domains from engineering to physics. Devices that perform these measurements, such as inertial sensors, need be extremely precise obtain correct system diagnostics and accurate predictions, consequently requiring rigorous calibration procedure before being employed. Most the research past years has focused on delivering methods can explain estimate complex stochastic components errors. In this context,...
<p>In this work we address the problem of rigorously evaluating performances a inertial navigation system under design in presence multiple alternative choices. We introduce framework based on Monte-Carlo simulations which standard extended Kalman filter is coupled with realistic and user-configurable noise generation mechanisms attempts to recover reference trajectory from noisy measurements. The evaluation several statistical metrics solution, aggregated over hundreds realizations,...
Different inertial sensor calibration techniques have been proposed to consider the sources of measurement error from sensors. There has a significant amount literature which studies stochastic errors such devices. The recent results [1] proved that among all possible methods (Generalized Method Wavelet Moments) (GMWM) presents various optimality and is computationally reliable. However, GMWM estimators depend on weight matrix considerably impact quality estimated models. In addition, models...
Abstract The sperm-specific channel CatSper ( cat ion of sper m) controls the intracellular Ca 2+ concentration ([Ca ] i ) and plays an essential role in sperm function. It is mainly activated by steroid progesterone (P4) but also promiscuously a wide range synthetic physiological compounds. These compounds include diverse steroids whose action on so far still controversial. To investigate effect these function, we developed high-throughput-screening (HTS) assay to measure changes [Ca human...
The Global Navigation Satellite System (GNSS) daily position time series are often described as the sum of stochastic processes and geophysical signals which allow studying global local geodynamical effects such plate tectonics, earthquakes, or ground water variations. In this work we propose to extend Generalized Method Wavelet Moments (GMWM) estimate parameters linear models with correlated residuals. This statistical inferential framework is applied GNSS data jointly functional...
<p>In this work we address the problem of rigorously evaluating performances a inertial navigation system under design in presence multiple alternative choices. We introduce framework based on Monte-Carlo simulations which standard extended Kalman filter is coupled with realistic and user-configurable noise generation mechanisms attempts to recover reference trajectory from noisy measurements. The evaluation several statistical metrics solution, aggregated over hundreds realizations,...