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June 06, 2016
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Date:16SundayDecember 2018Lecture
Soft Matter and Biomaterials Seminar
More information Time 11:00 - 12:00Title Assembly of Supported Lipid Bilayers and the Effect of Nano-PatternsLocation Perlman Chemical Sciences BuildingLecturer Dr. Yair Kaufman
Zuckerberg Institute for Water Research, Ben-Gurion University of the NegevOrganizer Department of Molecular Chemistry and Materials ScienceContact -
Date:16SundayDecember 2018Lecture
Molecular Genetics Departmental Seminars 2018-2019
More information Time 13:00 - 13:00Title A repressor-decay timer for robust temporal patterning of Drosophila neurogenesisLocation Arthur and Rochelle Belfer Building for Biomedical ResearchLecturer Inna Averbukh Organizer Department of Molecular GeneticsContact -
Date:16SundayDecember 2018Lecture
Economic Implications of Irrigation-Water Salinity
More information Time 13:00 - 14:00Title SAERI - Sustainability and Energy Research InitiativeLocation Benoziyo Building for Biological Sciences, room 690CLecturer Dr. Iddo Kan
Department of Environmental Economics and Management and The Center for Agricultural Economics Research, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of JerusalemOrganizer Weizmann School of ScienceContact -
Date:16SundayDecember 2018Lecture
Data-driven study of complex systems: from nonlinear PDEs to crumpled papers
More information Time 13:00 - 13:00Location Edna and K.B. Weissman Building of Physical SciencesLecturer Yohai Bar-Sinai, Harvard University Organizer Clore Center for Biological PhysicsContact Abstract Show full text abstract about Data-driven methods, and Machine-Learning in particular, bec...» Data-driven methods, and Machine-Learning in particular, became very popular in many diverse fields due to their unprecedented ability to identify recurring features, causal relations and complex correlation structures. For the same reasons, the application of these methods to the physical sciences has also attracted much attention, though the field is still very much in its infancy. In this talk I will discuss two applications of Machine-Learning to the study of complex systems: First, I will show how data-driven discretization of nonlinear PDEs can produce accurate low-resolution models, effectively providing a coarse-grained equation which accounts for sub-gridscale physics. Second, I will discuss crumpling of thin sheets and how Machine-Learning can be insightful in studying the emergent patterns, by augmenting the dataset with in-silico calculations of a related system - rigid origami. This also suggests a general strategy of applying data-driven methods to experimental systems where data is scarce or expensive. -
Date:16SundayDecember 2018Lecture
Remodelling of the vasculature in cardiovascular disease
More information Time 13:00 - 14:00Location Max and Lillian Candiotty BuildingLecturer Prof. Andrew Baker Organizer Department of Immunology and Regenerative BiologyContact -
Date:17MondayDecember 2018Colloquia
Life Science Colloquium
More information Time All dayTitle TBDLocation Dolfi and Lola Ebner AuditoriumLecturer Prof. Andrew J. Pollard
Dept. of Paediatrics, University of Oxford, UKContact -
Date:17MondayDecember 201818TuesdayDecember 2018Conference
Genealogy and the Sciences
More information Time 08:00 - 08:00Location The David Lopatie Conference CentreChairperson Daniel Hanoch WagnerHomepage -
Date:17MondayDecember 2018Lecture
Weizmann – Princeton – CNRS – HIT Plasma Workshop
More information Time 09:00 - 17:45Location Edna and K.B. Weissman Building of Physical SciencesLecturer Dimitry Mikichuk
magnetic field structure in a converging magnetized-plasmaOrganizer Department of Particle Physics and AstrophysicsContact -
Date:17MondayDecember 2018Lecture
Halide Exchange in Single Crystal Halide Perovskites
More information Time 14:00 - 15:00Location Perlman Chemical Sciences BuildingLecturer Aya Osherov Organizer Department of Molecular Chemistry and Materials ScienceContact Abstract Show full text abstract about Halide Perovskites (HaPs) have remarkable electronic and opt...» Halide Perovskites (HaPs) have remarkable electronic and optical characteristics, but much is still unknown regarding the connection between their physical and chemical properties. Cation or anion substitution can change the optical absorption edge, with or without change of structure. In this work I explored the halide exchange reaction in methylammonium lead tri-halides single crystals (SCs) in order to understand the process of exchange and the stability of the product(s). I demonstrate halide exchange in mm-sized SCs, achieved by diffusion. Using the Boltzmann-Matano method and diffusion profiles obtained by electron dispersive spectroscopy it is possible to evaluate the halide diffusion coefficients, which are not constant and depend on the mixture of halides. For all permutations, the change in composition as result of the diffusion, strongly affects the optical and electrical properties and especially the band gap of the semiconducting crystals, as seen in cathodoluminescence measurements in the scanning electron microscope. While these gradients cause a lattice parameter change and may cause a symmetry change, X-ray diffraction measurements show that if the interchanged halide pair is such that their sizes are relatively similar (e.g., and , and but not and ) the resulting material remains surprisingly single crystalline. These findings are valid, no matter which one of the two halides is being exchanged. These results suggest that for these similar-sized halide pairs, this exchange occurs through a solid-state chemical reaction such that the resulting crystal orientation is determined by that of the initial crystal. -
Date:18TuesdayDecember 2018Lecture
Weizmann – Princeton – CNRS – HIT Plasma Workshop
More information Time 09:45 - 17:15Location Edna and K.B. Weissman Building of Physical SciencesLecturer Seth Davidovits
Preventing or exploiting turbulence during plasma compressionOrganizer Department of Particle Physics and AstrophysicsContact -
Date:18TuesdayDecember 2018Lecture
Global outbreaks: Interferons as 1st responders
More information Time 10:00 - 11:00Location Nella and Leon Benoziyo Building for Biological SciencesLecturer Prof. Eleanor N. Fish
Dept. Immunology, University of Toronto, CanadaOrganizer Department of Biomolecular SciencesContact Abstract Show full text abstract about Emerging and re-emerging virus infections pose a threat to g...» Emerging and re-emerging virus infections pose a threat to global health. Viruses mutate to inevitably evade the effects of pathogen-specific antivirals, and the time required to develop a vaccine specific for an outbreak virus leaves populations unprotected for months. Our strategy is to focus on broad spectrum antivirals for diverse acute virus infections: interferons (IFNs)-. IFNs- exert both direct antiviral effects in infected cells and modulate host immune responses to clear virus. Data will be presented providing evidence for the antiviral effects of IFNs-against influenza A viruses H5N1 and pandemic H1N1, the SARS coronavirus and ebola virus, in vitro and in clinical studies during outbreaks. The mechanisms whereby IFNs-exert their antiviral effects and override the inhibitory effects of viruses will be described. -
Date:18TuesdayDecember 2018Lecture
Who Wants my Half Eaten Artisanal Sandwich?: Food in The Sharing Economy
More information Time 11:30 - 11:30Title UPDATED UPON CHANGE OF LECTURERLocation Nella and Leon Benoziyo Building for Biological SciencesLecturer Tamar Makov
Center for Industrial Ecology, School of Forestry and Environmental Studies, Yale UniversityOrganizer Department of Plant and Environmental SciencesHomepage Contact Abstract Show full text abstract about It is often claimed that the “sharing economy,” as implement...» It is often claimed that the “sharing economy,” as implemented via networks of mobile apps and users, yields environmental benefits through the efficient redistribution of already-existing assets and resources. Yet, little is known about how these networks actually function and, indeed, whether they deliver on their promises. In this research, we aim to reveal insights into the nature and dynamics of the sharing economy through a deep dive into a real-world food sharing network. Relying on a comprehensive dataset provided by a global peer-to-peer (P2P) food-sharing platform, we analyze roughly 200,000 cases of food sharing to examine the nature and evolution of free sharing networks, and calculate the environmental costs and benefits of food sharing via the platform. Our result shed light on the role the sharing economy can play in addressing sustainability challenges such as food waste. In addition, our findings can help guide the future development of the broad universe of sharing economy platforms toward maximizing environmental and social benefits. -
Date:18TuesdayDecember 2018Lecture
Functional stability in a dynamic network – the role of inhibition
More information Time 12:30 - 12:30Location Nella and Leon Benoziyo Building for Brain ResearchLecturer Prof. Yonatan Loewenstein
Department of Neurobiology – ELSC Hebrew University of JerusalemOrganizer Department of Brain SciencesContact Abstract Show full text abstract about According to the synaptic trace theory of memory, activity-i...» According to the synaptic trace theory of memory, activity-induced changes in the pattern of synaptic connections underlie the storage of information for long periods. In this framework, the stability of memory critically depends on the stability of the underlying synaptic connections. Surprisingly however, the excitatory synaptic connections, which constitute most of the synapses in the cortex, are highly volatile in the living brain, which poses a fundamental challenge to the synaptic trace theory. We show that in the balanced cortex, patterns of neural activity are primarily determined by the inhibitory connectivity, despite the fact that most synapses and neurons are excitatory. Similarly, we show that the inhibitory network is more effective in storing memory patterns than the excitatory one. As a result, network activity is robust to ongoing volatility of excitatory synapses, as long as this volatility does not disrupt the balance between excitation and inhibition. We thus hypothesize that inhibitory connectivity, rather than excitatory, controls the maintenance and loss of information over long periods of time in the volatile cortex.
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Date:18TuesdayDecember 2018Lecture
Translational control of cancer and neurological disease via eIF4E
More information Time 14:00 - 15:00Location Arthur and Rochelle Belfer Building for Biomedical ResearchLecturer Prof. Nahum Sonenberg
Department of Biochemistry McGill University, Montreal CANADAOrganizer Department of Chemical and Structural BiologyContact -
Date:19WednesdayDecember 2018Lecture
Weizmann – Princeton – CNRS – HIT Plasma Workshop
More information Time 09:45 - 16:00Location Edna and K.B. Weissman Building of Physical SciencesLecturer Christine Stollberg
Evolution of the current distribution in a small-scale self-compressing plasmaOrganizer Department of Particle Physics and AstrophysicsContact -
Date:19WednesdayDecember 2018Lecture
“Anharmonicity and Electron-Phonon Interaction in Dielectrically-Confined 2D Materials”
More information Time 14:00 - 15:30Location Perlman Chemical Sciences BuildingLecturer Dr. Matan Menahem
Dept. Materials and InterfacesOrganizer Department of Molecular Chemistry and Materials ScienceContact Abstract Show full text abstract about Electron-phonon interaction (EPI) is the influence of struct...» Electron-phonon interaction (EPI) is the influence of structural dynamics on charge-carrier’s band structure, by changes in the potential acting on a charge carrier due to atomic displacements. When the atomic displacements are anharmonic, and the quasi-harmonic approximation is no longer sufficient, the existing theory fails to explain or predict the macroscopic properties of the material. In quantum confined systems with dielectric mismatch between well and barrier, the effect of atomic displacements on the dielectric environment of charge carriers is greater due to dielectric confinement. 2D hybrid halide perovskites (HHPs) are easy to synthesize, easily tunable dielectric confined materials with pronounced optical response, even at room temperature. Recent studies show the effect of anharmonicity on the optical properties of 3D perovskites and strong EPI in 2D HHPs, affected by temperature. I aim to investigate the effect of anharmonicity on the dielectric environment of charge carriers in prototypical dielectric confined 2D HHPs, using various methods of optical spectroscopy. I hypothesize that anharmonicity would decrease the excitonic binding energy and electron-phonon scattering, due to more efficient charge screening and phonon-phonon scattering. -
Date:20ThursdayDecember 2018Lecture
Imm Special Guest Seminar:Dr. Moshe Biton ,will lecture about "Exploring epithelial-immune cell interactions of mucosal surfaces in health and disease”
More information Time All dayLocation Max and Lillian Candiotty BuildingLecturer Dr. Moshe Biton
The Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA. Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.Organizer Department of Systems ImmunologyContact -
Date:20ThursdayDecember 2018Conference
Annual meeting of the ISBMB
More information Time 08:00 - 17:30Location The David Lopatie Conference CentreChairperson Yifat MerblHomepage -
Date:20ThursdayDecember 2018Lecture
Weizmann – Princeton – CNRS – HIT Plasma Workshop
More information Time 09:45 - 16:00Location Edna and K.B. Weissman Building of Physical SciencesLecturer Mikhail Mlodok
Stratification effects in magnetized multi-ion plasma” + DiscussionOrganizer Department of Particle Physics and AstrophysicsContact -
Date:20ThursdayDecember 2018Lecture
Effects of electron spin dynamics on DNP at 7 Tesla
More information Time 10:00 - 11:00Location Perlman Chemical Sciences BuildingLecturer Dr. Ilya Kaminker
School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, TAUOrganizer Department of Molecular Chemistry and Materials ScienceContact Abstract Show full text abstract about Dynamic Nuclear Polarization (DNP) is the most widespread an...» Dynamic Nuclear Polarization (DNP) is the most widespread and ubiquitous technique for signal enhancement in Nuclear Magnetic Resonance (NMR). The gain in signal intensity is achieved by polarization transfer from the highly-polarized electron spins to the nuclear spins of interest. The home-build DNP/EPR spectrometer in the laboratory of Prof. Songi Han at UCSB allowed for the first time direct observation of the electron spin dynamics in the course of DNP experiment at NMR-relevant magnetic field (≥ 7 Tesla); measurement of electron relaxation times T1 and T2 and electron-electron spin diffusion rate by Electron-Electron DOuble resonance (ELDOR) under DNP conditions. I will present how the addition of 200 GHz arbitrary pulse shaping extended the ability to manipulate the electron spins in both EPR and DNP experiments. Specifically, up to a factor of five improvement in DNP performance was observed when a train of chirp pulses (chirp-DNP) was substituted for conventional, continuous wave microwave irradiation. The combination of shaped-pulse ELDOR together with DNP profile lineshape analysis allowed us to conclude that the gain in performance in chirp-DNP is due to recruitment of additional electron spins that participate in DNP via cross effect (CE) mechanism as opposed to the indirect CE (iCE) mechanism that dominates in the conventional CW DNP experiments under similar conditions.
In addition to serving as the source of the polarization, the electron spins can have other, sometimes detrimental, effects on the NMR spectra such as shifting the position of the peaks (Paramagnetic Shift) and decreasing resolution by linewidth increase (Paramagnetic relaxation) collectively known as paramagnetic effects (PE). We have recently observed the reversal of PE upon microwave irradiation in DNP experiments at liquid helium temperatures. WE suggest that the the origin of the observed effect stems from the REversal of PRE by electron Spin SaturatION (REPRESSION) effect which was traced to the shortening of the electron phase memory time, Tm, with electron spin bath saturation by microwave irradiation.