… Specifically, we avoid the log N overhead per memory access present in all prior work, and
achieve constant-overhead (interactive) ZK proofs, ie, ZK proofs in which the communication …

… Each internal node n in a decision tree is represented as a tuple (attr, val), which respectively
encode the attribute and threshold value by which n splits the data. The decision tree DT of …

Cell-based therapy is a promising therapy for myocardial infarction. Endogenous repair of the
heart muscle after myocardial infarction is a challenge because adult cardiomyocytes have …

In this study, a novel solar-based system, consisting of photovoltaic panels, photoelectrochemical
water splitting reactor along with the fuel cell system, is proposed and analyzed …

Collaborative machine learning (ML) is widely used to enable institutions to learn better
models from distributed data. While collaborative approaches to learning intuitively protect user …

Characterizing cellular responses to different extrinsic signals is an active area of research,
and curated pathway databases describe these complex signaling reactions. Here, we revisit …

Introduction Chemo-immunotherapy combinations have revolutionized our treatment algorithm
with respect to naïve advanced NSCLC; however, given the great number of developed …

Our understanding of biological mechanisms and treatment options for traumatic brain
injury (TBI) is limited. Here, we employed quantitative real-time PCR (QRT-PCR) and …

In this study, we investigated the dog placenta as a viable source of stem cells for stroke
therapy. Immunocytochemical evaluation of phenotypic markers of dog placenta cells (DPCs) …

The pathophysiological changes that occur during ischemic stroke can have a profound
effect on the surrounding nerve tissue. To this end, we advance the hypothesis that retinal …