A5103080617- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Distributed and Parallel Computing Systems
- Public Administration and Political Analysis
- Scientific Computing and Data Management
- Ecology, Conservation, and Geographical Studies
- Malaria Research and Control
- Astrophysics and Cosmic Phenomena
- Drug Transport and Resistance Mechanisms
- Quantum Information and Cryptography
- European history and politics
- thermodynamics and calorimetric analyses
- Ion Transport and Channel Regulation
- Black Holes and Theoretical Physics
- Advanced Data Storage Technologies
- Lipid Membrane Structure and Behavior
- Stochastic processes and financial applications
- Atomic and Subatomic Physics Research
- Big Data Technologies and Applications
Institute of High Energy Physics
2023-2024
University of Antwerp
2024
A. Alikhanyan National Laboratory
2023-2024
Karlsruhe Institute of Technology
2017-2024
European Organization for Nuclear Research
2020-2023
Heidelberg University
1999
University of Würzburg
1995-1998
Here we describe the identification and characterization of a physiological marker that is associated with chloroquine-resistant (CQR) phenotype in human malarial parasite Plasmodium falciparum. Single cell vivo pH measurements revealed CQR parasites consistently have an elevated cytoplasmic compared to chloroquine-sensitive (CQS) because constitutively activated Na+/H+ exchanger (NHE). Together, biochemical data suggest chloroquine activates plasmodial NHE CQS parasites, resulting...
We demonstrate that uptake of the antimalarial drug chloroquine is temperature-dependent, saturable, and inhibitable in Plasmodium falciparum. These features are indicative carrier-mediated transport suggest a P. falciparum-encoded protein facilitates import. Although both chloroquine-resistant susceptible parasite isolates exhibit facilitated uptake, kinetics differ. Chloroquine-resistant consistently have an import mechanism with lower activity reduced affinity for chloroquine. differences...
The spliced leader (SL) RNA plays a key role in mRNA maturation trypanosomatid protozoa by providing the SL sequence, which is joined to 5' end of every mRNA. As first step towards better understanding biogenesis and function RNA, we expressed tagged gene cell-free system procyclic Trypanosoma brucei cells. Transcription initiates at + 1 can be detected as early min after addition extract. vitro, well permeable cells, mediated an alpha-amanitin/tagetitoxin resistant complex, suggesting...
Abstract Applications of neural networks to data analyses in natural sciences are complicated by the fact that many inputs subject systematic uncertainties. To control dependence network function variations input space within these uncertainties, several methods have been proposed. In this work, we propose a new approach training introducing penalties on variation output directly loss function. This is achieved at cost only small number additional hyperparameters. It can also be pursued...
Plasmodium falciparum var genes encode a diverse family of proteins, located on the surfaces infected erythrocytes, which are implicated in pathology human malaria through antigenic variation and adhesion erythrocytes to microvasculature. We have constructed complete representative telomere-to-telomere yeast artificial chromosome (YAC) contig map P. 8 for studies chromosomal organization, distribution, expression genes. Three gene loci were identified 8, two close telomeres at either end...
Abstract We isolated two cell clones from the wild‐type Madin‐Darby canine kidney line (MDCK) that resembles renal collecting duct epithelium. Morphology and karyotypes of were evaluated. The MDCK‐C7 clone morphologically principal cells (polygonal shape, flat), while MDCK‐C11 intercalated (cuboidal high). diploid chromosome number is 83.1 ± 0.2 (n = 139); for 78.8 0.1 128). Culture in alkaline medium (pH 7.7) induced irreversible phenotypical genotypical alterations. transformed MDCK‐C7F...
Abstract Data analysis in science, e.g., high-energy particle physics, is often subject to an intractable likelihood if the observables and observations span a high-dimensional input space. Typically problem solved by reducing dimensionality using feature engineering histograms, whereby latter allows build Poisson statistics. However, presence of systematic uncertainties represented nuisance parameters likelihood, optimal reduction with minimal loss information about interest not known. This...
1. The mineralocorticoid aldosterone is essential for the regulation of electrolyte homeostasis, extracellular volume and blood pressure. As a steroid hormone classical way action genomic. Previously we reported non-genomic on cytosolic Ca2+ pH in renal epithelial (MDCK) cells. In parallel, induces Zn2+-sensitive acidification when Na+ absent. 2. We now show that (EC50, 7 x 10-11 mol l-1) increase sodium MDCK membrane-impermeable aldosterone-bovine serum albumin (BSA) conjugate exerted same...
Python is nowadays one of the most widely-used languages for data science. Its rich ecosystem libraries together with its simplicity and readability are behind popularity. HEP also embracing that trend, often using as an interface language to access C++ sake performance. PyROOT, bindings ROOT software toolkit, plays a key role here, since it allows automatically dynamically invoke code from without generation any static wrappers beforehand. In sense, this paper presents efforts create new...
The relation between the input and output spaces of neural networks (NNs) is investigated to identify those characteristics space that have a large influence on for given task. For this purpose, NN function decomposed into Taylor expansion in each element space. coefficients contain information about sensitivity response inputs. A metric introduced allows identification mostly determine performance solving Finally, capability analyze evaluated based task common data analyses high-energy...
ROOT provides, through TMVA, machine learning tools for data analysis at HEP experiments and beyond. We present recently included features in TMVA the strategy future developments diversified landscape. Focus is put on fast inference, which enables analysts to deploy their models rapidly large scale datasets. The new are paired with newly designed C++ Python interfaces supporting modern paradigms full interoperability ecosystem. as well a deep implementation convolutional neural network...
Abstract In recent years, RDataFrame, ROOT’s high-level interface for data analysis and processing, has seen widespread adoption on the part of HEP physicists. Much this success is due to RDataFrame’s ergonomic programming model that enables implementation common tasks more easily than previous APIs, without compromising application performance. Nonetheless, interfaces have been further improved by addition several major HEP-oriented features: in contribution we will introduce instance a...
ROOT provides, through TMVA, machine learning tools for data analysis at HEP experiments and beyond. However, with the rapidly evolving ecosystem learning, focus of TMVA is shifting. We present new developments strategy which will allow analyst to integrate seamlessly, effectively, different workflows in diversified machine-learning landscape. Focus put on a fast inference system, enable analysts deploy their models large scale datasets. technical details system decision tree algorithms,...
Abstract The long-term sustainability of the high-energy physics (HEP) research software ecosystem is essential to field. With new facilities and upgrades coming online throughout 2020s, this will only become increasingly important. Meeting challenge requires a workforce with combination HEP domain knowledge advanced skills. required skills fall into three broad groups. first fundamental generic engineering (e.g., Unix, version control, C++, continuous integration). second domain-specific...
ROOT is a software framework for large-scale data analysis that provides basic and advanced statistical methods used by high-energy physics experiments. It includes machine learning tools from the ROOT-integrated Toolkit Multivariate Analysis (TMVA). We present several recent developments in TMVA, including new modular design, algorithms pre-processing, cross-validation, hyperparameter-tuning, deep-learning interfaces to other machine-learning packages. TMVA additionally integrated with...
The high energy physics community is discussing where investment needed to prepare software for the HL-LHC and its unprecedented challenges. ROOT project one of central players in since decades. From experience expectations, team has distilled a comprehensive set areas that should see research development context data analysis software, making best use HL-LHC's potential. This work shows what these could be, why believes investing them needed, which gains are expected, related ongoing. It...
The Toolkit for Multivariate Analysis, TMVA, the machine learning package integrated into ROOT data analysis framework, has recently seen improvements to its deep module, parallelisation of multivariate methods and cross validation. Performance benchmarks on datasets from high-energy physics are presented with a particular focus new module which contains robust fully-connected, convolutional recurrent neural networks implemented CPU GPU architectures. Both dense convo-lutional layers shown...
The CMS collaboration at the CERN LHC has made more than one petabyte of open data available to public, including large parts which formed basis for discovery Higgs boson in 2012. Apart from their scientific value, these can be used not only education and outreach, but also software development. However, original format, cannot accessed easily without experiment-specific knowledge skills. Work is presented that allows set up analyses are performed close published ones, meet minimum...