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Functional characterization of the p53 "mutome"

Eran Kotler, Eran Segal, Moshe Oren
2018 Molecular & Cellular Oncology  
Oren) and the European Research Council (to E. Segal). http://orcid.org/0000-0003-4311-7172 MOLECULAR & CELLULAR ONCOLOGY e1511207-3  ... 
doi:10.1080/23723556.2018.1511207 pmid:30525089 pmcid:PMC6276857 fatcat:qfrw235qonay5alxeloq6mowg4

Emergency Teams in Cascading Disasters

Patrizia I. Duda, Eran Oren
2017 Prehospital and Disaster Medicine  
doi:10.1017/s1049023x1700351x fatcat:2qyk7fm47zdgrgmweymzlh75he

Effective Learning of a GMRF Mixture Model

Shahaf E. Finder, Eran Treister, Oren Freifeld
2022 IEEE Access  
Learning a Gaussian Mixture Model (GMM) is hard when the number of parameters is too large given the amount of available data. As a remedy, we propose restricting the GMM to a Gaussian Markov Random Field Mixture Model (GMRF-MM), as well as a new method for estimating the latter's sparse precision (i.e., inverse covariance) matrices. When the sparsity pattern of each matrix is known, we propose an efficient optimization method for the Maximum Likelihood Estimate (MLE) of that matrix. When it is
more » ... unknown, we utilize the popular Graphical Least Absolute Shrinkage and Selection Operator (GLASSO) to estimate that pattern. However, we show that even for a single Gaussian, when GLASSO is tuned to successfully estimate the sparsity pattern, it does so at the price of a substantial bias of the values of the nonzero entries of the matrix, and we show that this problem only worsens in a mixture setting. To overcome this, we discard the nonzero values estimated by GLASSO, keep only its pattern estimate and use it within the proposed MLE method. This yields an effective two-step procedure that removes the bias. We show that our "debiasing" approach outperforms GLASSO in both the single-GMRF and the GMRF-MM cases. We also show that when learning priors for image patches, our method outperforms GLASSO even if we merely use an educated guess about the sparsity pattern, and that our GMRF-MM outperforms the baseline GMM on real and synthetic high-dimensional datasets.
doi:10.1109/access.2022.3141911 fatcat:3ehswa5p7rfldeithglangpqca

Hysteresis and intermittency in a nano-bridge based suspended DC-SQUID [article]

Eran Segev, Oren Suchoi, Oleg Shtempluck, Fei Xue, Eyal Buks
2010 arXiv   pre-print
We study voltage response of nano-bridge based DC-SQUID fabricated on a Si_3N_4 membrane. Such a configuration may help in reducing 1/f noise, which originates from substrate fluctuating defects. We find that the poor thermal coupling between the DC-SQUID and the substrate leads to strong hysteretic response of the SQUID, even though it is biased by an alternating current. In addition, when the DC-SQUID is biased near a threshold of spontaneous oscillations, the measured voltage has an
more » ... ent pattern, which depends on the applied magnetic flux through the SQUID.
arXiv:1010.4391v1 fatcat:7b6pojemozgfjoxxrqzfig3msi

Self-oscillations in a superconducting stripline resonator integrated with a DC-SQUID [article]

Eran Segev, Oren Suchoi, Oleg Shtempluck, Eyal Buks
2009 arXiv   pre-print
We study self-sustained oscillations (SO) in a Nb superconducting stripline resonators (SSR) integrated with a DC superconducting quantum interface devices (SQUID). We find that both the power threshold where these oscillations start and the oscillations frequency are periodic in the applied magnetic flux threading the SQUID loop. A theoretical model which attributes the SO to a thermal instability in the DC-SQUID yields a good agreement with the experimental results. This flux dependant
more » ... arity may be used for quantum state reading of a qubit-SSR integrated device.
arXiv:0907.3267v1 fatcat:bnni6vteubac7nekkfkj6mgpcy

2d duality for orthogonal gauge theories with 8 supersymmetries [article]

Eran Avraham, Oren Bergman
2019 arXiv   pre-print
We recently conjectured a set of dualities relating two-dimensional orthogonal gauge theories with N=(4,4) supersymmetry, analogous to Hori's dualities with N=(2,2) supersymmetry. Here we provide a quantitative test of this conjecture by computing the elliptic genera of the dual pairs and showing that they agree. The elliptic genus of orthogonal gauge theories has multiple topological sectors that depend on the global structure of the group and on the value of a discrete θ parameter. We derive
more » ... he dependence on the θ parameter by determining whether a given sector has (S)Pin structure or not.
arXiv:1904.00422v2 fatcat:zn4zvjd5ozaylkgrbjl4qrw2te

Intermode Dephasing in a Superconducting Stripline Resonator [article]

Oren Suchoi, Baleegh Abdo, Eran Segev, Oleg Shtempluck, M. P. Blencowe, Eyal Buks
2009 arXiv   pre-print
We study superconducting stripline resonator (SSR) made of Niobium, which is integrated with a superconducting interference device (SQUID). The large nonlinear inductance of the SQUID gives rise to strong Kerr nonlinearity in the response of the SSR, which in turn results in strong coupling between different modes of the SSR. We experimentally demonstrate that such intermode coupling gives rise to dephasing of microwave photons. The dephasing rate depends periodically on the external magnetic
more » ... ux applied to the SQUID, where the largest rate is obtained at half integer values (in units of the flux quantum). To account for our result we compare our findings with theory and find good agreement. Supplementary info at arXiv:0901.3133 .
arXiv:0901.3110v2 fatcat:ughop2mebbgc7l4sae542wpdru

Non-alcoholic fatty liver and the gut microbiota

Stavros Bashiardes, Hagit Shapiro, Shachar Rozin, Oren Shibolet, Eran Elinav
2016 Molecular Metabolism  
Non-alcoholic fatty liver (NAFLD) is a common, multi-factorial, and poorly understood liver disease whose incidence is globally rising. NAFLD is generally asymptomatic and associated with other manifestations of the metabolic syndrome. Yet, up to 25% of NAFLD patients develop a progressive inflammatory liver disease termed non-alcoholic steatohepatitis (NASH) that may progress towards cirrhosis, hepatocellular carcinoma, and the need for liver transplantation. In recent years, several lines of
more » ... vidence suggest that the gut microbiome represents a significant environmental factor contributing to NAFLD development and its progression into NASH. Suggested microbiome-associated mechanisms contributing to NAFLD and NASH include dysbiosisinduced deregulation of the gut endothelial barrier function, which facilitates systemic bacterial translocation, and intestinal and hepatic inflammation. Furthermore, increased microbiome-modulated metabolites such as lipopolysaccharides, short chain fatty acids (SCFAs), bile acids, and ethanol, may affect liver pathology through multiple direct and indirect mechanisms. Scope of review: Herein, we discuss the associations, mechanisms, and clinical implications of the microbiome's contribution to NAFLD and NASH. Understanding these contributions to the development of fatty liver pathogenesis and its clinical course may serve as a basis for development of therapeutic microbiome-targeting approaches for treatment and prevention of NAFLD and NASH. Major conclusions: Intestinal hostemicrobiome interactions play diverse roles in the pathogenesis and progression of NAFLD and NASH. Elucidation of the mechanisms driving these microbial effects on the pathogenesis of NAFLD and NASH may enable to identify new diagnostic and therapeutic targets of these common metabolic liver diseases. This article is part of a special issue on microbiota.
doi:10.1016/j.molmet.2016.06.003 pmid:27617201 pmcid:PMC5004228 fatcat:tbm7gsfuvfglzke4f36qfdiecq

2d duality for orthogonal gauge theories with 8 supersymmetries

Eran Avraham, Oren Bergman
2019 Journal of High Energy Physics  
We recently conjectured a set of dualities relating two-dimensional orthogonal gauge theories with N = (4, 4) supersymmetry, analogous to Hori's dualities with N = (2, 2) supersymmetry. Here we provide a quantitative test of this conjecture by computing the elliptic genera of the dual pairs and showing that they agree. The elliptic genus of orthogonal gauge theories has multiple topological sectors that depend on the global structure of the group and on the value of a discrete θ parameter. We
more » ... rive the dependence on the θ parameter by determining whether a given sector has (S)P in structure or not.
doi:10.1007/jhep06(2019)074 fatcat:xswdvlcglbhlpbikpd6bef7nfi

Inadequate Antibody Response to Rabies Vaccine in Immunocompromised Patient

Eran Kopel, Gal Oren, Yechezkel Sidi, Dan David
2012 Emerging Infectious Diseases  
Oren, Y. Sidi); Ministry of Health, Tel Aviv, Israel (E. Kopel); Sackler School of Medicine, Tel Aviv University, Tel Aviv (Y. Sidi); and Kimron Veterinary Institute, Bet Dagan, Israel (D.  ... 
doi:10.3201/eid1809.111833 pmid:22932226 pmcid:PMC3437714 fatcat:c4vt4vmk2vhfjn4z6i6fxv4iya

Combinatorial growth of multinary nanostructured thin functional films

Hannah-Noa Barad, Mariana Alarcón-Correa, Gerardo Salinas, Eran Oren, Florian Peter, Alexander Kuhn, Peer Fischer
2021 Materials Today  
The rapid generation of material libraries with multidimensional gradients is important for the discovery of new functional materials. Here we report an integrated fabrication scheme, based on glancing angle physical vapor deposition, to form a thin-film materials library with controlled variations in nanoshape, multinary composition, and oxidation state on a single large area substrate. We demonstrate the versatility of the method by growing an octonary materials system, which we characterize
more » ... ith high-throughput methods, and reveal variations in several physico-chemical properties. Among others, we examine the materials library in the frame of the oxygen evolution reaction and show that nanostructuring leads to NiO clusters that are active towards such a reaction. Our scheme can be readily extended to include more starting elements, and can be transferred to other deposition methods, making this an adaptable and versatile platform for combinatorial materials science.
doi:10.1016/j.mattod.2021.06.001 fatcat:43daft47yrbu7bz27m43aqysiy

Respiratory syncytial virus tracking using internet search engine data

Eyal Oren, Justin Frere, Eran Yom-Tov, Elad Yom-Tov
2018 BMC Public Health  
Eran Yom-Tov collected Google Trends data. EO and JF collected epidemiological data. EYT processed the data and developed the models. EYT and EO analyzed the results and wrote the paper.  ... 
doi:10.1186/s12889-018-5367-z pmid:29615018 pmcid:PMC5883276 fatcat:yoqlhwiabfgj3dpqtud5uzkzci

The role of the microbiome in NAFLD and NASH

Aleksandra A Kolodziejczyk, Danping Zheng, Oren Shibolet, Eran Elinav
2018 EMBO Molecular Medicine  
Conflict of interest Eran Elinav is a payed consultant to BiomX and DayTwo.  ... 
doi:10.15252/emmm.201809302 pmid:30591521 pmcid:PMC6365925 fatcat:outsjsfssbgzrh2ny6vttbidhm

Effective Learning of a GMRF Mixture Model [article]

Shahaf E. Finder, Eran Treister, Oren Freifeld
2020 arXiv   pre-print
Learning a Gaussian Mixture Model (GMM) is hard when the number of parameters is too large given the amount of available data. As a remedy, we propose restricting the GMM to a Gaussian Markov Random Field Mixture Model (GMRF-MM), as well as a new method for estimating the latter's sparse precision (i.e., inverse covariance) matrices. When the sparsity pattern of each matrix is known, we propose an efficient optimization method for the Maximum Likelihood Estimate (MLE) of that matrix. When it is
more » ... unknown, we utilize the popular Graphical LASSO (GLASSO) to estimate that pattern. However, we show that even for a single Gaussian, when GLASSO is tuned to successfully estimate the sparsity pattern, it does so at the price of a substantial bias of the values of the nonzero entries of the matrix, and we show that this problem only worsens in a mixture setting. To overcome this, we discard the non-zero values estimated by GLASSO, keep only its pattern estimate and use it within the proposed MLE method. This yields an effective two-step procedure that removes the bias. We show that our "debiasing" approach outperforms GLASSO in both the single-GMRF and the GMRF-MM cases. We also show that when learning priors for image patches, our method outperforms GLASSO even if we merely use an educated guess about the sparsity pattern, and that our GMRF-MM outperforms the baseline GMM on real and synthetic high-dimensional datasets. Our code is available at .
arXiv:2005.09030v2 fatcat:pfwiarazdrechn4naia5nnsany

A note on D0-branes and instantons in 5d supersymmetric gauge theories [article]

Eran Avraham, Oren Bergman
2018 arXiv   pre-print
We refine a previous proposal for obtaining the multi-instanton partition function from the supersymmetric index of the 1d supersymmetric gauge theory on the worldline of D0-branes. We provide examples where the refinements are crucial for obtaining the correct result.
arXiv:1808.05648v1 fatcat:dy6hszb3cracvapgpqk5ho4jay
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