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The Mediterranean region stands out among other subtropical regions in its projected drying response to
the global rise in atmospheric greenhouse gas concentrations. This drying trend has already emerged out
of the normal, random climate variability in the sensitive Eastern Mediterranean (EM) region. To better
understand the dynamical mechanisms responsible for this regional sensitivity, we turn to past protracted
EM drying states during warm geological epochs. A unique view of the historical and pre-historical
hydroclimate of the EM-Levant has been gleaned from the continued study of the sedimentary and
geochemical record left by the lakes that filled the tectonic basin of the Dead Sea. We revisit the Late
Quaternary sediment record retrieved during the 2010-2011 Dead Sea Deep Drilling Project (DSDDP). The
sediments clearly indicate that the Levant was drier during past warm interglacials than during the adjacent
glacials but nonetheless experienced large variations in the intensity of the regional aridity. During each
interglacial, extended thick deposits of salts accumulated at the Lake bottom, during millennia of
significant regional aridity and severely reduced Mediterranean rains. These dry states were interrupted
by extended wet intervals, fed by rains that were supplied by a blend of tropical and Mediterranean
moisture. To understand the underlying causes of the EM-Levant interglacial hydroclimate variations, we
put the Dead Sea record in the context of the Northern Hemisphere orbital insolation variations and their
impact on the global climate system. We show that the changes in EM hydroclimate portrayed by the
DSDDP record during the interglacials, are entirely consistent with the response of the North Atlantic
Ocean and the overlying atmosphere and surrounding land areas to the changes in the latitudinal insolation
gradient, as determined by climate models and evident by surface temperature proxies. This perspective
provides new information regarding the dynamical processes responsible for the ongoing, greenhouse
gas forced, EM drying.

Single-molecule spectroscopy, combined with fluorescence resonance energy transfer, has been intensively utilized for studying the structural dynamics of protein, DNA, and RNA. However, observation of the dynamics on the microsecond timescale is challenging due to the low efficiency of collecting photons from a single molecule. To realize quantitative investigations of structural dynamics with a sub-microsecond time resolution, we developed new single-molecule spectroscopy, i.e., two-dimensional fluorescence lifetime correlation spectroscopy (2D FLCS). In this 2D FLCS, we use a high-repetition short pulse laser for photoexcitation and analyze the correlation of the fluorescence lifetime from the donor of a FRET pair. The obtained information is represented in the form of a 2D fluorescence lifetime correlation map using the inverse Laplace transform. 2D FLCS can visualize the structural dynamics of complex molecules in the equilibrium condition with a sub-microsecond resolution at the single-molecule level.
In this presentation, I will talk about the principle of 2D FLCS and its application to the study of the structural dynamics of protein, DNA, and RNA, in particular, the most recent study on the folding/unfolding dynamics of an RNA riboswitch. Based on the observed microsecond folding dynamics, we proposed the molecular-level mechanism for transcription control by the riboswitch.

We developed an arena (called colloquially the RIFF) for jointly studying behavior and neural activity in freely-behaving rats. The RIFF operates as a state machine, allowing us to implement a large number of different behaviors as Markov Decision Processes and therefore to analyze much of the data within the theoretical framework of reinforcement learning. In the studies I will show here, we recorded neural activity from auditory cortex while rats performed auditory-guided behavior. We observed an intricate interplay between behavior and neural activity that was much richer than we expected.

The electronic properties of a material are dictated by both the composition and arrangement of its atomic lattice. Combining elemental atoms selected from the periodic table in principle provides for infinite variety of materials to be realized. However, thermodynamic constraints limit which atoms may bond into which symmetry classes; materials may or may not be air sensitive; synthesis conditions may be impractical; impurities and defects may substantially obscure intrinsic electronic properties; and the resulting electron behaviour may not be predictive owing to phenomena such as strong electron interactions, spontaneous magnetic ordering, fermi-surface reconstruction or other effects not captured by single-particle band-structure calculations. In this talk, I will explore new approaches to synthesizing quantum materials by augmenting the atomic lattice structure in 2D materials with a superimposed superlattice potential. Artificially engineering lattice potentials provide opportunities to synthesize materials beyond the periodic table, with the ultimate promise to be able to realize and manipulate arbitrary electronic states, by design. Opportunities and challenges, in this exciting new field will be reviewed, and the prospects for quantum simulation in a solid-state platform will be discussed.