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See detailSOCS2: physiological and pathological functions.
Letellier, Elisabeth UL; Haan, Serge UL

in Frontiers in bioscience (Elite edition) (2016), 8

Suppressors of cytokine signalling (SOCS) proteins are modulators of cytokine and growth factor signalling whose aberrant regulation has been linked to a variety of inflammatory and neoplastic diseases ... [more ▼]

Suppressors of cytokine signalling (SOCS) proteins are modulators of cytokine and growth factor signalling whose aberrant regulation has been linked to a variety of inflammatory and neoplastic diseases. SOCS proteins are able to act as substrate-recruiting component of E3-ubiquitin ligase complexes and target interacting proteins for degradation. At least some of the family members can also directly inhibit tyrosine kinases such as Janus Kinases (JAK). The most studied family members, CIS, SOCS1, SOCS2 and SOCS3 are important regulators of the JAK-STAT pathway. Here, we focus on SOCS2 and review its biological function as well as its implication in pathological processes. Furthermore, we take advantage of the known crystal structures of SOCS2 to discuss the potential effects of a selection of SOCS2 mutations that were identified in tumour tissues. [less ▲]

Detailed reference viewed: 230 (20 UL)
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See detailSOCS3 exerts its inhibitory function on interleukin-6 signal transduction through the SHP2 recruitment site of gp130.
Schmitz, J.; Weissenbach, M.; Haan, Serge UL et al

in Journal of Biological Chemistry (2000), 275(17), 12848-56

Interleukin-6 is involved in the regulation of many biological activities such as gene expression, cell proliferation, and differentiation. The control of the termination of cytokine signaling is as ... [more ▼]

Interleukin-6 is involved in the regulation of many biological activities such as gene expression, cell proliferation, and differentiation. The control of the termination of cytokine signaling is as important as the regulation of initiation of signal transduction pathways. Three families of proteins involved in the down-regulation of cytokine signaling have been described recently: (i) SH2 domain-containing protein-tyrosine phosphatases (SHP), (ii) suppressors of cytokine signaling (SOCS), and (iii) protein inhibitors of activated STATs (PIAS). We have analyzed the interplay of two inhibitors in the signal transduction pathway of interleukin-6 and demonstrate that the tyrosine phosphatase SHP2 and SOCS3 do not act independently but are functionally linked. The activation of one inhibitor modulates the activity of the other; Inhibition of SHP2 activation leads to increased SOCS3-mRNA levels, whereas increased expression of SOCS3 results in a reduction of SHP2 phosphorylation after activation of the interleukin-6 signal transduction pathway. Furthermore, we show that tyrosine 759 in gp130 is essential for both SHP2 and SOCS3 but not for SOCS1 to exert their inhibitory activities on interleukin-6 signal transduction. Besides SHP2, SOCS3 also interacts with the Tyr(P)-759 peptide of gp130. Taken together, our results suggest differences in the function of SOCS1 and SOCS3 and a link between SHP2 and SOCS3. [less ▲]

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See detailSodium butyrate improves memory function in an Alzheimer's disease mouse model when administered at an advanced stage of disease progression
Govindarajan, Nambirajan; Agis-Balboa, Roberto Carlos; Walter, Jonas UL et al

in Journal of Alzheimer's Disease [=JAD] (2011), 26(1), 187-197

Dysregulation of histone acetylation has been implicated in the onset of age-associated memory impairment and the pathogenesis of neurodegenerative diseases. Elevation of histone acetylation via ... [more ▼]

Dysregulation of histone acetylation has been implicated in the onset of age-associated memory impairment and the pathogenesis of neurodegenerative diseases. Elevation of histone acetylation via administration of histone deacetylase (HDAC) inhibitors is currently being pursued as a novel therapeutic avenue to treat memory impairment linked to Alzheimer's disease (AD). Here we show that severe amyloid pathology correlates with a pronounced dysregulation of histone acetylation in the forebrain of APPPS1-21 mice. Importantly, prolonged treatment with the pan-HDAC inhibitor sodium butyrate improved associative memory in APPPS1-21 mice even when administered at a very advanced stage of pathology. The recovery of memory function correlated with elevated hippocampal histone acetylation and increased expression of genes implicated in associative learning. These data advance our understanding of the potential applicability of HDAC inhibitors for the treatment of AD and suggest that HDAC inhibitors may have beneficial effects even when administered long after the onset of disease-associated symptoms. [less ▲]

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See detailSodium enhances indium-gallium interdiffusion in copper indium gallium diselenide photovoltaic absorbers
Colombara, Diego UL; Werner, Florian UL; Schwarz, Torsten et al

in Nature Communications (2018)

Detailed reference viewed: 362 (13 UL)
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See detailSofia University GNSS Analysis Center (SUGAC)
Simeonov, Tzvetan; Sidorov, Dmitry UL; Teferle, Felix Norman UL et al

Scientific Conference (2015, May 20)

The Sofia University GNSS Analysis Centre (SUGAC, suada.phys.uni-sofia.bg) is a new analysis centre established via collaboration between the Department of Meteorology and Geophysics of Sofia University ... [more ▼]

The Sofia University GNSS Analysis Centre (SUGAC, suada.phys.uni-sofia.bg) is a new analysis centre established via collaboration between the Department of Meteorology and Geophysics of Sofia University, the IPOS - BuliPOS GNSS network in Bulgaria, the University of Luxembourg and the Space Research and Technology Institute at the Bulgarian Academy of Sciences. In April 2014, the first processing campaign took place. One year of GNSS data from 7 stations of the BuliPOS network were processed in collaboration with the University of Luxembourg. Tropospheric products (Zenith Total Delay and gradients) with 5 min temporal resolution were obtained using the NAPEOS software, developed by ESA. The tropospheric products from this campaign were then used for validation of the Weather Research and Forecasting (WRF) model as well as for case studies during intense precipitation events and fog. In this work the WRF model validation for Bulgaria will be presented. Future work will be the establishment of autonomous near real- time processing of the regional ground-based GNSS network in Southeast Europe in support of the EUMETNET E-GVAP and COST ES1206 ”Advanced Global Navigation Satellite Systems for Severe Weather Events and Climate” projects. [less ▲]

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See detailSOFIA: An Automated Security Oracle for Black-Box Testing of SQL-Injection Vulnerabilities
Ceccato, Mariano; Nguyen, Duy Cu UL; Appelt, Dennis UL et al

in Proceedings of the 31th IEEE/ACM International Conference on Automated Software Engineering (2016)

Security testing is a pivotal activity in engineering secure software. It consists of two phases: generating attack inputs to test the system, and assessing whether test executions expose any ... [more ▼]

Security testing is a pivotal activity in engineering secure software. It consists of two phases: generating attack inputs to test the system, and assessing whether test executions expose any vulnerabilities. The latter phase is known as the security oracle problem. In this work, we present SOFIA, a Security Oracle for SQL-Injection Vulnerabilities. SOFIA is programming-language and source-code independent, and can be used with various attack generation tools. Moreover, because it does not rely on known attacks for learning, SOFIA is meant to also detect types of \sqli attacks that might be unknown at learning time. The oracle challenge is recast as a one-class classification problem where we learn to characterise legitimate SQL statements to accurately distinguish them from \sqli attack statements. We have carried out an experimental validation on six applications, among which two are large and widely-used. SOFIA was used to detect real \sqli vulnerabilities with inputs generated by three attack generation tools. The obtained results show that SOFIA is computationally fast and achieves a recall rate of 100\% (i.e., missing no attacks) with a low false positive rate (0.6\%). [less ▲]

Detailed reference viewed: 269 (28 UL)
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See detailSoft compartmentalization: Combining droplet-based microfluidics with freely accessible cells
Eicher, Dominic; Ramanathan, Nirupama UL; Merten, Christoph

in Engineering in Life Sciences (2015)

Detailed reference viewed: 89 (2 UL)
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See detailA soft k-segments algorithm for principal curves
Verbeek, J. J.; Vlassis, Nikos UL; Krose, B.

in ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS (2001)

We propose a new method to find principal curves for data sets. The method repeats three steps until a stopping criterion is met. In the first step, k (unconnected) line segments are fitted on the data ... [more ▼]

We propose a new method to find principal curves for data sets. The method repeats three steps until a stopping criterion is met. In the first step, k (unconnected) line segments are fitted on the data. The second step connects the segments to form a polygonal line, and evaluates the quality of the resulting polygonal line. The third step inserts a new line segment. We compare the performance of our new method with other existing methods to find principal curves. [less ▲]

Detailed reference viewed: 78 (0 UL)
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See detailSoft law, effectiveness of fundamental rights and migration: how effective are migrants’ fundamental rights in an era of European governance
Mavrouli, Roila UL

in Current Challenges in Migration Policy and Law, Edited by Emília Lana de Freitas Castro and Sergio Maia Tavares, Published in London, England, ISBN: 978-1-910781-77-7 (2020)

Detailed reference viewed: 20 (4 UL)
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See detailSoft Soil Creep Modelling of large settlements
Van Baars, Stefan UL

in 2nd International Conference on Advances in Soft Soil Engineering and Technology (2003)

The most commonly used model in The Netherlands to predict settlements is the Koppejan Model. This model gives reasonable predictions, but sometimes there are large discrepancies with reality. This is ... [more ▼]

The most commonly used model in The Netherlands to predict settlements is the Koppejan Model. This model gives reasonable predictions, but sometimes there are large discrepancies with reality. This is caused (among others) by: 1) The inaccurate calculation of the degree of consolidation, 2) The omission of the consolidation process for creep, which causes superposition errors for (temporarily) surcharge calculations, and 3) The omission of the waterpressures caused by creep. The problems disappear when the settlement process is solved with an incremental calculation. The results of the incremental calculations are compared with several 1-D compression tests and show good results. The Incremental Koppejan Model can easily be implemented in finite element models. In this paper also an example for a 3-D Elasto-Plastic Soft-Soil-Creep Model is presented. [less ▲]

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See detailSOFTENING AND MELTING MODELING OF IRON ORE PARTICLES USING A CFD-DEM COUPLING METHOD
Baniasadi, Mehdi UL; Peters, Bernhard UL

Scientific Conference (2018, September 25)

The iron-bearing particles start softening and melting because of the weight of burden above and the high temperature in the middle of the blast furnace so-called cohesive zone. In this region, as ... [more ▼]

The iron-bearing particles start softening and melting because of the weight of burden above and the high temperature in the middle of the blast furnace so-called cohesive zone. In this region, as particles are softened, the void space between particles decreases. As the temperature increases further, the softened particles start melting and generate two different liquids: molten iron and slag. Then the generated liquids trickle down to the lower part of the blast furnace. The softening and melting process forms the impermeable ferrous layers forcing gas to flow horizontally through the permeable coke windows. These phenomena have a big effect on the operation of the blast furnace, and since it is not possible to interrupt the blast furnace to investigate details of the phenomena occurring inside, the numerical simulation becomes more practical. In this contribution, the eXtended Discrete Element Method (XDEM) as an advanced numerical tool based on the discrete-continuous framework, is used. Within this model, the gas and liquid phases are described by computational fluid dynamics (CFD) and the soft-sphere discrete element approach (DEM) is used for the coke and iron ore particles. Continuous phases are coupled to the discrete entities through mass, momentum, and energy exchange. Moreover, the internal temperature distribution of the particles is described. The particle’s deformation, temperature, melting, and shrinking along with the saturation of molten iron and slag are examined using the XDEM method. [less ▲]

Detailed reference viewed: 135 (6 UL)
See detailSoftening and melting modeling of iron ore particles using a discrete - continuous coupling method
Baniasadi, Mehdi UL; Baniasadi, Maryam; Peters, Bernhard UL

Scientific Conference (2018, June 13)

The blast furnace iron making is the main method to produce liquid iron. A blast furnace is charged with ore and coke from the top along with a preheated gas introduced to the furnace through the tuyeres ... [more ▼]

The blast furnace iron making is the main method to produce liquid iron. A blast furnace is charged with ore and coke from the top along with a preheated gas introduced to the furnace through the tuyeres in the lower part. The combustion of coke generates reducing gas ascending through the blast furnace to reduce iron-bearing materials. The reduced iron-bearing particles start softening and melting because of the weight of burden above and the high temperature in the middle of the blast furnace so-called cohesive zone. In this region, as particles are softened, the void space between particles decreases. As the temperature increases further, the softened particles start melting and generate two different liquids: molten iron and slag. Then the generated liquids trickle down to the lower part of the blast furnace. The softening and melting process forms the impermeable ferrous layers forcing gas to flow horizontally through the permeable coke windows. This causes a high-pressure drop. Softening and melting has a big effect on the operation of the blast furnace and since it is not possible to interrupt the blast furnace to investigate details of the phenomena occurring inside, the numerical simulation becomes more practical. In this contribution, the eXtended Discrete Element Method (XDEM) [1] as an advanced numerical tool based on the Eulerian-Lagrangian framework, is used. Within this platform, the gas and liquid phases are described by computational fluid dynamics (CFD) and the soft-sphere discrete element approach (DEM) is used for the coke and iron ore particles. Continuous phases are coupled to the discrete entities through mass, momentum, and energy exchange. Moreover, the internal temperature distribution of the particles is described. Therefore, the XDEM is able to model multiphase and multiscale phenomena as can occur in the cohesive zone. The particle's deformation, temperature, melting, and shrinking along with gas and liquids pressure, temperature and velocity patterns are examined using the XDEM method. [less ▲]

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See detailSoftware Aging Analysis of the Android Mobile OS
Cotroneo, D.; Fucci, F.; Iannillo, Antonio Ken UL et al

in 2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE) (2016)

Detailed reference viewed: 33 (1 UL)
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See detailThe software aging and rejuvenation repository: Http://openscience.us/repo/software-aging/
Cotroneo, D.; Iannillo, Antonio Ken UL; Natella, R. et al

in 2015 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) (2015)

Detailed reference viewed: 35 (0 UL)
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See detailSoftware Engineering and Modeling Education: Problems and Solutions
Guelfi, Nicolas UL

in Proceedings of the International Workshop on Petri Nets and Software Engineering (PNSE'15), including the International Workshop on Petri Nets for Adaptive Discrete Event Control Systems (ADECS 2015) A satellite event of the conferences: 36th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2015 and 15th International Conference on Application of Concurrency to System Design ACSD 2015, Brussels, Belgium, June 22-23, 2015. (2015)

Detailed reference viewed: 125 (2 UL)
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See detailSoftware Engineering for Dataset Augmentation using Generative Adversarial Networks
Jahic, Benjamin UL; Guelfi, Nicolas UL; Ries, Benoît UL

Scientific Conference (2019, October 19)

Software engineers require a large amount of data for building neural network-based software systems. The engineering of these data is often neglected, though, it is a critical and time-consuming activity ... [more ▼]

Software engineers require a large amount of data for building neural network-based software systems. The engineering of these data is often neglected, though, it is a critical and time-consuming activity. In this work, we present a novel software engineering approach for dataset augmentation using neural networks. We propose a rigorous process for generating synthetic data to improve the training of neural networks. Also, we demonstrate our approach to successfully improve the recognition of handwritten digits using conditional generative adversarial networks (cGAN). Finally, we shortly discuss selected important issues of our process, presenting related work and proposing some improvements. [less ▲]

Detailed reference viewed: 196 (130 UL)
See detailSoftware Engineering of Fault Tolerant Systems
Guelfi, Nicolas UL; Pelliccione, Patrizio; Muccini, Henry et al

Book published by Springer (n.d.)

Detailed reference viewed: 24 (0 UL)
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See detailSoftware Engineering Research and Industry: A Symbiotic Relationship to Foster Impact
Basili, Victor; Briand, Lionel UL; Bianculli, Domenico UL et al

in IEEE Software (2018), 35(5), 44-49

Software engineering is not only an increasingly challenging endeavor that goes beyond the intellectual capabilities of any single individual engineer, but is also an intensely human one. Tools and ... [more ▼]

Software engineering is not only an increasingly challenging endeavor that goes beyond the intellectual capabilities of any single individual engineer, but is also an intensely human one. Tools and methods to develop software are employed by engineers of varied backgrounds within a large variety of organizations and application domains. As a result, the variation in challenges and practices in system requirements, architecture, and quality assurance is staggering. Human, domain and organizational factors define the context within which software engineering methodologies and technologies are to be applied and therefore the context that research needs to account for, if it is to be impactful. This paper provides an assessment of the current challenges faced by software engineering research in achieving its potential, a description of the root causes of such challenges, and a proposal for the field to move forward and become more impactful through collaborative research and innovation between public research and industry. [less ▲]

Detailed reference viewed: 223 (39 UL)