Scientific Sense ®

In vivo quantification of excitation and kilohertz frequency block of the rat vagus nerve, stimulation of the sensory pudendal nerve increases bladder capacity in the rat, and evoked potentials reveal neural circuits engaged by human deep brain stimulation Prof. Warren Grill is Professor of Biomedical Engineering at Duke University. His research interests are in neural engineering and neuromodulation and include design and testing of electrodes and stimulation techniques, the electrical properties of tissues and cells, and computational neuroscience.

The evolution, effects and relationships of microbes with other biological systems such as Amoeba, Termites/Pests and humans. Dr. Fredrik  Inglis is an assistant professor at the University of Missouri – St. Louis. He studies the evolution of microbial interactions. Dr. Sussane DiSalvo is an assistant professor at the Southern Illinois University, Edwardsville. Her research interests center on host-microbe interactions that span the symbiotic spectrum. Dr. Brittany Peterson is an assistant professor at the Southern Illinois University, Edwardsville.  She is interested in understanding the physiological mechanisms governing, modulating, and perpetuating symbiotic interactions and how these mechanisms lead to adaptive traits in the host organisms.

Welfare across Countries and Time, The misallocation of talent and US economic growth, Race and Economic Well-Being in the United States, and Trading Off Consumption and COVID-19 Deaths. Prof Pete Klenow is professor of Economic Policy, School of Humanities and Sciences at Stanford University. He is also Senior Fellow, Stanford Institute for Economic Policy Research.

Transient Striatal γ Local Field Potentials Signal Movement Initiation in Rats, Structural and electronic properties of dual plasma codeposited mixed-phase amorphous/nanocrystalline thin films, and Proton radiation-induced enhancement of the dark conductivity in composites. Prof. James Kakalios is Professor, School of Physics and Astronomy at the University of Minnesota. His current research ranges from the Nano to the Neuro, with active studies of the optical and electronic properties of materials to investigations of voltage fluctuations in the brain.

Capital-skill complementarity and inequality, Are Phillips Curves Useful for Forecasting Inflation?, New Deal Policies and the Persistence of the Great Depression, Long-term changes in labor supply and taxes, and Tarnishing the Golden and Empire States: Land-Use Restrictions and the U.S. Economic Slowdown Prof. Lee Ohanian is Professor of Economics, and Director of the Macroeconomic Research program at UCLA. He is also a Senior Fellow at the Hoover Institution at Stanford University, and the Associate Director of the Center for the Advanced Study in Economic Efficiency at Arizona State University. He is an adviser to the Federal Reserve Bank of Minneapolis, and previously has advised other Federal Reserve Banks, Foreign Central Banks, and the National Science Foundation.

THE Declarative/Procedural Model: A Neurobiologically Motivated Theory of First and Second Language, Child first language and adult second language are both tied to general-purpose learning systems, and the Neurocognition of Developmental Disorders of Language Prof. Michael Ullman is Professor of Neuroscience, with secondary appointments in the Departments of Psychology and Neurology at Georgetown University. He is Director of the Brain and Language Lab, and Director of the Georgetown EEG/ERP Laboratory. The Brain and Language Lab aims to elucidate how language is learned, represented, and processed in the mind and brain.

Exploring the dark genome: implications for precision medicine, Virtual and In Vitro Antiviral Screening Revive Therapeutic Drugs for COVID-19, Artificial intelligence, drug repurposing and peer review, mining the human proteome for disease biology, drug discovery and repositioning Prof. Tudor Oprea is Professor of Medicine, Pharmaceutical Sciences and Chemistry and Chemical Biology; and Division Chief, Translational Informatics, at the University of New Mexico. His current research is in the development of validated artificial intelligence models for target selection in drug discovery, by combining numerical and text-mined information to model human health via knowledge graphs.

An Experimental Comparison of Carbon Pricing Under Uncertainty in Electricity Markets, Emissions Uncertainty and Environmental Market, Wholesale Market Design, and Transmission Planning Prof. Frank Wolak is Professor of Commodity Price Studies in the Economics Department, Director of the Program on Energy and Sustainable Development and Co-Director of the Natural Gas Initiative at Stanford University. Prof. Wolak has worked on the design and regulatory oversight of the electricity markets internationally throughout Europe, Australia/Asia, Latin America, and Africa. He was also a member of the Emissions Market Advisory Committee (EMAC) that advised the California Air Resources Board on the design and monitoring of the state's cap-and-trade market for Greenhouse Gas Emissions.

Why Libet’s studies don’t pose a threat to free will,  Agency and intervention, Neurotechnologies for Mind Reading, and Neuroethics Prof. Adina Roskies who is Professor of Philosophy and chair of the Cognitive Science Program, and an affiliate of the Department of Psychological and Brain Sciences at Dartmouth College. Dr. Roskies’ research interests lie at the intersection of philosophy and neuroscience, and include philosophy of mind, philosophy of science, and ethics. She has coauthored a book with Stephen Morse, A Primer on Criminal Law and Neuroscience.

Standard model and supersymmetry of particle physics, experiments at the Large Hadron Collider and novel uses of machine learning in experimental Physics. Prof. Manfred Paulini is a Professor of Physics at Carnegie Mellon University and a member of the CMS experiment operating at the Large Hadron Collider (the LHC) at CERN. He is looking for the production of dark matter particle in collision events at the LHC. In recent years he has started to explore novel machine learning and AI based approaches for event classification in particle physics, where he is interested to use ML to go beyond the classic data analysis approaches that have been used in particle physics for many years.