Session III

Dopamine signaling is thought to alter the excitability of the striatum’s principal neurons (D1- and D2-SPNs). We used immunohistochemistry to quantify the expression of Fos, a marker of neural activity, in mice trained in a head-fixed fear conditioning task that requires dopamine signaling in the striatum. We observed a relative increase in Fos-expressing D1- vs D2-SPNs, which may indicate how ... Read More

In the supersymmetry portal for dark photon productions, each lepton jet is associated with an underlying neutralino. To reconstruct these jets, we first gathered samples of the dilepton decay of dark photons from the Monte Carlo generator PYTHIA 8. For each event, we found leptons with the highest transverse momenta to consider additional leptons within ΔR < 0.5. After the ... Read More

Primary progressive aphasia (PPA) is a neurological syndrome in which there is a progressive decline in language processing. It results from the degeneration of brain tissue important for speech and language. Functional and structural neuroimaging techniques have discovered the major sites of atrophy (brain volume loss) and reveal patterns of language network abnormalities in each of the subtypes: PPA-G (agrammatic), ... Read More

I present a detailed high-level analysis of previous searches for doubly charged Higgs bosons at lower energies and luminosities by CMS and ATLAS. I compare these analyses with simulation results of our own for the currently higher

137 fb^-1LHC luminosity with a look at expectations from future higher-energy colliders. The four-lepton signal for doubly charged Higgs events is the chosen ... Read More

Systemic sclerosis (SSc) is a disease that causes multisystem fibrosis and has a 10-year survival of 50-84%. Death is 5-15 times more likely when the heart is affected. Myocardial fibrosis in SSc may interfere with heart muscle contraction, relaxation, and microvascular function, resulting in heart failure, ischemia, and arrhythmias. We sought to quantify the effects of SSc on the heart ... Read More

Previous research shows that diverse teams in background and skills can outperform homogeneous teams. However, people often prefer to work with others who are similar and familiar and fail to assemble teams with high diversity levels. We propose a team formation algorithm that suggests diverse teams based on individuals’ social networks, allowing them to keep high familiarity levels. Our novel ... Read More