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Flood is the outcome of complex processes interacting at a range of scales. Flood generation and its magnitude depend on different precipitation and surface properties. As the climate becomes warmer globally, precipitation patterns are changing and, consequently, altering flood regimes. Resolving the expected changes in flood properties requires examining projections of precipitation features most correlated with floods. While the redistribution of mean annual precipitation amounts is generally known, the trends in many other essential factors controlling floods are yet to be resolved. For example, flash flood magnitude is sensitive to space-time rainstorm properties such as areal coverage or storm speed. Still, knowledge of how these properties are affected by global warming is lacking. Maximal rain rates for duration relevant to the watershed’s response time are also crucial parameters controlling the flood discharge. There is some understanding of how extreme rain rates change, but the magnitude and sign depend on the rain duration considered. Changes in frequency and the intra-seasonal distribution of precipitation events also affect flood regimes. Finally, watersheds of different properties are sensitive to different precipitation features, and thus, different watersheds may respond differently to global warming. In this talk, we will present the complexity of flood response under global warming and then focus on two questions: 1) how does global warming affect heavy precipitation events (HPEs) in the eastern Mediterranean, and 2) how these effects are imprinted in the resulting floods in small-medium Mediterranean watersheds.
We simulated 41 eastern Mediterranean HPEs with the high-resolution weather research and forecasting (WRF) model. Each event was simulated twice: under historical conditions and at the end of the 21st-century conditions (RCP8.5 scenario) using the “pseudo global warming” approach. Comparison of precipitation patterns from the paired simulations revealed that heavy precipitation events in our region are expected to become drier and more spatiotemporally concentrated, i.e., we expect higher rain rates on smaller coverage areas and shorter storm durations that, in total, yield lower amounts of rainfall.
These effects have some contradicting signs, and their full hydrological impact on streamflow peak discharge and volume was further explored. Ensembles of spatially-shifted rainfall data from the simulated HPEs were input to a high-resolution distributed hydrological model (GB-HYDRA) representing four small-medium-size watersheds (18–69 km2) in the eastern Mediterranean (Ramot Menashe). Flow volume is significantly reduced in future HPEs, while the change in flood peak is more complicated due to the combined effect of precipitation amount (decreasing) and precipitation rate (increasing). For the watersheds examined in this research, which are mostly agricultural, flood peaks at the watershed outlets are mostly reduced. The dynamics of flood generation at sub-watersheds of different sizes and properties are further examined in this research to understand scenarios for lowering or increasing flood peaks. This study emphasizes that detecting and quantifying global warming impact on space-time precipitation patterns is essential for flood regime projection.

The use of nanoparticles in diagnostics, therapeutics and imaging has revolutionized these fields with new properties not available with small molecules. Nanoparticle interface provide possibilities for polyvalent and independent attachment of different molecules serving as recognition/targeting structures, optical probes, spin probes or catalysts. However, nanoparticles operating in biological environments require precise control of multiple factors related to surface chemistry and their composition. To avoid for example aggregation, off-target interactions, and protein corona formation, appropriate interface design is essential. This talk will present general nanoparticle design strategies and specific examples including nanodiamonds and lipid nanoparticles.

Quantum dots (QDs) are conducting regions which can localize few charge carriers, and where the energy spectrum is dominated by Coulomb repulsion. QDs can be as large as few hundreds of nanometers, or as small as a single molecule, their sizes depending on their physical realization – whether in two-dimensional materials, nanowires, molecular systems.
In my talk I will describe our work on a new type of an atomically-sized QD, realized in defects residing in ultrathin two-dimensional insulators. These defect-dots are found in layered materials such as hexagonal Boron Nitride (hBN), which we study by their assembly into stacked devices. By using graphene electrodes, we are able to electronically couple to the QD, while allowing the QD energy to be externally tuned exploiting the penetration of electric field through graphene.
A consequence of the structure of our devices is that the defect QDs are placed at atomic distance to the conductors on both sides. I will show how the presence of such energy-tunable, atomically sized QDs at nanometer proximity to other conducting systems opens new opportunities for sensitive measurements, including use of QDs as highly sensitive spectrometers [1], or as single electron transistors, unique in their sensitivity to local electric fields at the nanometer scale [2]. I will discuss our future prospects of using defect QDs as quantum sensors.

References

1. Devidas, T.R., I. Keren, and H. Steinberg, Spectroscopy of NbSe2 Using Energy-Tunable Defect-Embedded Quantum Dots. Nano Letters, 2021. 21(16): p. 6931-6937.
2. Keren, I., et al., Quantum-dot assisted spectroscopy of degeneracy-lifted Landau levels in graphene. Nature Communications, 2020. 11(1): p. 3408.

The warfare between bacteria and phages - viruses that infect bacteria - has been raging for billions of years. During this time both sides have evolved various attack and defense systems. In this talk I will describe 3 related projects: 1. Is there an optimal number of such defense or anti-defense systems? 2. How can different phages which prey on the same bacteria co-exist, in contradiction with the expected competitive exclusion? 3. Some phages have developed the ability to garner environmental information, enabling them to make more "intelligent" decisions. How much is such intelligence worth, in terms of other resources?
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Promiscuous binding of Janus kinases (JAKs) to class I/II cytokine receptors has been
reported, yet its role in signaling is unclear. To systematically explore JAK pairing in type
I interferon (IFN-I) signaling, we generated an artificial IFN-I receptor (AIR) by replacing
the extracellular domains of IFNAR1 and IFNAR2 with anti-mEGFP and mCherry
nanobodies. The heterodimeric AIR restored near-native IFN-I activity, while the
homomeric variant of IFNAR2 (AIR-dR2) initiated much weaker signaling despite
harboring docking sites for STAT proteins. To further investigate the roles of JAKs on the
receptors, knockout (KO) JAK1, JAK2, TYK2, and JAK2/TYK2 were generated. JAK1
KO led to a complete loss of IFN-I signaling, partially restored by TYK2 overexpression.
TYK2 KO cells retained partial activity, which was elevated by JAK1 overexpression,
suggesting both JAKs partially substitute each other.
Conversely, JAK2 KO only moderately impacted the biological activity of IFN-Is, even in
JAK2/TYK2 KO cells. Live cell micropatterning confirmed promiscuous binding of JAK1,
JAK2, and TYK2 to IFNAR1 and IFNAR2. Moreover, the identities of recruitment of
different JAKs on the ICDs were related to their respective concentrations in the cell, which
varies between cell lines. Yet, the efficiency of JAK cross-phosphorylation and
downstream signaling also depend on their identity. Promiscuity of JAK binding was also
observed for IFNL1, IL-10-Rbβ, TPOR, and GHR but not for EPOR, accompanied by
different downstream signaling activities. The competitive binding of JAKs to cytokine
receptors and the highly diverse absolute and relative JAK expression levels in different
cell types can account for cell type-dependent signaling pleiotropy observed for cytokine
receptors.