Digital Commons Network^™

Amazon Alexa + Linked Open Data: Theorizing Concerning Relationships Between (Surveillant) Smart-Home Voice Assistants And Linked Open Data, Michelle Nitto

Publications and Research

No abstract provided.

Association Of Fish Oil And Physical Activity On Mobility Disability In Older Adults, Anoop T. Balachandran

Publications and Research

Purpose: This study aimed to examine whether long-term fish oil (FO) supplementation is associated with a lower risk of mobility disability and enhances benefits of physical activity (PA). Methods: A total of 1635 sedentary adults age 70 to 89 yr from the Lifestyle Interventions and Independence for Elders single-blinded randomized,multicenter clinical trial, which compared a structured PA program to a health education program. Primary outcome was incident major mobility disability (MMD), defined by loss of ability to walk 400 m, measured every 6 months for an average of 2.6 yr. Secondary outcomes included persistent mobility disability, Short Physical Performance Battery, …

Multi-Scale Predictors Of Parasite Risk In Wild Male Savanna Baboons (Papio Cynocephalus), Bobby Habig, David A.W.A.M. Jansen, Mercy Y. Akinyi, Laurence R. Gesquiere, Susan C. Alberts, Elizabeth A. Archie

Publications and Research

Several factors are thought to shape male parasite risk in polygynous and polygynandrous mammals, including male-male competition, investment in potentially immunosuppressive hormones, and dispersal. Parasitism is also driven by processes occurring at larger scales, including host social groups and populations. To date, studies that test parasite-related costs of male behavior at all three scales—individual hosts, social groups, and the host population—remain rare. To fill this gap, we investigated multi-scale predictors of helminth parasitism in 97 male savanna baboons (Papio cynocephalus) living in the Amboseli ecosystem in Kenya over a 5-year span. Controlling for multi-scale processes, we found that many of …

Development And Sensory Experience Dependent Regulation Of Microglia In Barrel Cortex, Joshua C. Brumberg, John Kalambogias, Chia-Chien Chen, Safraz Khan, Titus Son, Carolyn Headlam, Cindy Lin

Publications and Research

The barrel cortex is within the primary somatosensory cortex of the rodent, and processes signals from the vibrissae. Much focus has been devoted to the function of neurons, more recently, the role of glial cells in the processing of sensory input has gained increasing interest. Microglia are the principal immune cells of the nervous system that survey and regulate the cellular constituents of the dynamic nervous system. We investigated the normal and disrupted development of microglia in barrel cortex by chronically depriving sensory signals via whisker trimming for the animals’ first postnatal month. Using immunohistochemistry to label microglia, we performed …

Makin’ Bots: Using Hands-On Workshops To Teach Essential Coding Skills, Mark E. Eaton

Publications and Research

No abstract provided.

Editor’S Introduction For Nano Special Issue 14: Captivity Narratives Then And Now: Gender, Race, And The Captive In Twentieth- And Twenty-First-Century American Literature And Culture, Megan Behrent

Publications and Research

In 2018, forty-five years after the high-profile abduction of Patricia Hearst by the Symbionese Liberation Army, CNN returned her captivity narrative to mass media in the documentary series The Radical Story of Patty Hearst. A year later, Netflix brought to a close the narrative of Kimmy Schmidt, the ever optimistic and resilient survivor of childhood abduction and fifteen years of captivity in a bunker. Tales of captivity have dominated the digital streaming universe in recent years even as the captivity narrative has proven to be a malleable genre: from the dark dystopia of The Handmaid’s Tale which powerfully depicts …

An Interview With Nancy Armstrong, Coauthor Of The Imaginary Puritan: Literature, Intellectual Labor, And The Origins Of Personal Life, Megan Behrent

Publications and Research

Nancy Armstrong is Gilbert, Louis, and Edward Lehrman Professor of Trinity College, Duke University; editor of Novel: A Forum on Fiction; author of Desire and Domestic Fiction (1987), Fiction in the Age of Photography (1999), How Novels Think: The Limits of Individualism, 1719-1900 (2005); and with Leonard Tennenhouse, coauthor of The Imaginary Puritan (1992) and Novels in the Time of Democratic Writing (2017).

Megan Behrent is Assistant Professor of English at New York City College of Technology, CUNY. Her research focuses on literature and social movements and the intersection among race, gender, sexuality, and class in twentieth and …

Frontal Alpha Asymmetry And Inhibitory Control Among Individuals With Cannabis Use Disorders, Alina Shevorykin, Lesia M. Ruglass, Robert D. Melara

Publications and Research

To better understand the biopsychosocial mechanisms associated with development and maintenance of cannabis use disorder (CUD), we examined frontal alpha asymmetry (FAA) as a measure of approach bias and inhibitory control in cannabis users versus healthy nonusers. We investigated: (1) whether FAA could distinguish cannabis users from healthy controls; (2) whether there are cue-specific FAA effects in cannabis users versus controls; and (3) the time course of cue-specific approach motivation and inhibitory control processes. EEG data were analyzed from forty participants (CUD (n = 20) and controls (n = 20)) who completed a modified visual attention task. Results showed controls …

Activation Of Lxrβ Inhibits Tumor Respiration And Is Synthetically Lethal With Bcl-Xl Inhibition, Trang Thi Thu Nguyen, Chiaki Tsuge Ishida, Enyuan Shang, Chang Shu, Consuelo Torrini, Yiru Zhang, Elena Bianchetti, Maria J. Sanchez-Quintero, Giulio Kleiner, Catarina M. Quinzii, Mike-Andrew Westhoff, Georg Karpel-Massler, Peter Canoll, Markus D. Siegelin

Publications and Research

Liver-X-receptor (LXR) agonists are known to bear anti-tumor activity. However, their efficacy is limited and additional insights regarding the underlying mechanism are necessary. By performing transcriptome analysis coupled with global polar metabolite screening, we show that LXR agonists, LXR623 and GW3965, enhance synergistically the anti-proliferative effect of BH3 mimetics in solid tumor malignancies, which is predominantly mediated by cell death with features of apoptosis and is rescued by exogenous cholesterol. Extracellular flux analysis and carbon tracing experiments (U-¹³C-glucose and U-¹³C-glutamine) reveal that within 5 h, activation of LXRβ results in reprogramming of tumor cell metabolism, leading …

Deep Machine Learning Techniques For The Detection And Classification Of Sperm Whale Bioacoustics, Peter C. Bermant, Michael M. Bronstein, Robert J. Wood, Shane Gero, David F. Gruber

Publications and Research

We implemented Machine Learning (ML) techniques to advance the study of sperm whale (Physeter macrocephalus) bioacoustics. This entailed employing Convolutional Neural Networks (CNNs) to construct an echolocation click detector designed to classify spectrograms generated from sperm whale acoustic data according to the presence or absence of a click. The click detector achieved 99.5% accuracy in classifying 650 spectrograms. The successful application of CNNs to clicks reveals the potential of future studies to train CNN-based architectures to extract finer-scale details from cetacean spectrograms. Long short-term memory and gated recurrent unit recurrent neural networks were trained to perform classification tasks, including (1) …

Modeling Interval Timing By Recurrent Neural Nets, Theodore Raphan, Eugene Dorokhin, Andrew R. Delamater

Publications and Research

The purpose of this study was to take a new approach in showing how the central nervous system might encode time at the supra-second level using recurrent neural nets (RNNs). This approach utilizes units with a delayed feedback, whose feedback weight determines the temporal properties of specific neurons in the network architecture. When these feedback neurons are coupled, they form a multilayered dynamical system that can be used to model temporal responses to steps of input in multidimensional systems. The timing network was implemented using separate recurrent “Go” and “NoGo” neural processing units to process an individual stimulus indicating the …

Inhibition Of Mitochondrial Permeability Transition By Deletion Of The Ant Family And Cypd, Jason Karch, Michael J. Bround, Hadi Khalil, Michelle A. Sargent, Nadina Latchman, Naohiro Terada, Pablo M. Peixoto, Jeffery D. Molkentin

Publications and Research

The mitochondrial permeability transition pore (MPTP) has resisted molecular identification. The original model of the MPTP that proposed the adenine nucleotide translocator (ANT) as the inner membrane pore-forming component was challenged when mitochondria from Ant1/2 double null mouse liver still had MPTP activity. Because mice express three Ant genes, we reinvestigated whether the ANTs comprise the MPTP. Liver mitochondria from Ant1, Ant2, and Ant4 deficient mice were highly refractory to Ca2+-induced MPTP formation, and when also given cyclosporine A (CsA), the MPTP was completely inhibited. Moreover, liver mitochondria from mice with quadruple deletion of Ant1, Ant2, Ant4, and Ppif (cyclophilin …

Examination Of Human Health Impacts Due To Adverse Climate Events Through The Use Of Vulnerability Mapping: A Scoping Review, Michael T. Schmeltz, Peter J. Marcotullio

Publications and Research

Government officials, health professionals, and other decision makers are tasked with characterizing vulnerability and understanding how populations experience risks associated with exposure to climate-related hazards. Spatial analyses of vulnerable locations have given rise to climate change vulnerability mapping. While not a new concept, the spatial analyses of specific health outcomes remain limited. This review explores different methodologies and data that are used to assess vulnerability and map population health impacts to climate hazards. The review retrieved scholarly articles and governmental reports concerning vulnerability mapping of human health to the impacts of climate change in the United States, published in the …

Going Big: A Large-Scale Study On What Big Data Developers Ask, Mehdi Bagherzadeh, Raffi Khatchadourian

Publications and Research

Software developers are increasingly required to write big data code. However, they find big data software development challenging. To help these developers it is necessary to understand big data topics that they are interested in and the difficulty of finding answers for questions in these topics. In this work, we conduct a large-scale study on Stackoverflow to understand the interest and difficulties of big data developers. To conduct the study, we develop a set of big data tags to extract big data posts from Stackoverflow; use topic modeling to group these posts into big data topics; group similar topics into …

'When You're A Star, They Let You Do It' To Trump: Or, President Vagina T. Fireball's Executive Order, Marleen S. Barr

Publications and Research

This is a humorous short story about how a star holds Trump accountable for his misogyny.

The Dilemma Of Black Citizenship: Perpetual Partiality And Patriotism, Kristopher B. Burrell

Publications and Research

No abstract provided.

Yields Of Weakly Bound Light Nuclei As A Probe Of The Statistical Hadronization Model, Yiming Cai, Thomas D. Cohen, Boris A. Gelman, Yukari Yamauchi

Publications and Research

The statistical hadronization model successfully describes the yields of hadrons and light nuclei from central heavy-ion collisions over a wide range of energies. It is a simple and efficient phenomenological framework in which the relative yields for very high energy collisions are essentially determined by a single model parameter—the chemical freeze-out temperature. Recent measurements of yields of hadrons and light nuclei covering over nine orders of magnitudes from the ALICE collaboration at the Large Hadron Collider were described by the model with remarkable accuracy with a chemical freeze-out temperature of 156.5 ± 1.5 MeV. A key physical question is whether …

Phylogenetic Trees And Networks Can Serve As Powerful And Complementary Approaches For Analysis Of Genomic Data, Christopher Blair, Cécile Ané

Publications and Research

Genomic data have had a profound impact on nearly every biological discipline. In systematics and phylogenetics, the thousands of loci that are now being sequenced can be analyzed under the multispecies coalescent model (MSC) to explicitly account for gene tree discordance due to incomplete lineage sorting (ILS). However, the MSC assumes no gene flow post divergence, calling for additional methods that can accommodate this limitation. Explicit phylogenetic network methods have emerged, which can simultaneously account for ILS and gene flow by representing evolutionary history as a directed acyclic graph. In this point-of-view we highlight some of the strengths and limitations …

Hidden Bias In The Dud-E Dataset Leads To Misleading Performance Of Deep Learning In Structure-Based Virtual Screening, Lieyang Chen, Anthony Cruz, Steven Ramsey, Callum J. Dickson, Jose S. Duca, Viktor Hornak, David R. Koes, Tom Kurtzman

Publications and Research

Recently much effort has been invested in using convolutional neural network (CNN) models trained on 3D structural images of protein-ligand complexes to distinguish binding from non-binding ligands for virtual screening. However, the dearth of reliable protein-ligand x-ray structures and binding affinity data has required the use of constructed datasets for the training and evaluation of CNN molecular recognition models. Here, we outline various sources of bias in one such widely-used dataset, the Directory of Useful Decoys: Enhanced (DUDE). We have constructed and performed tests to investigate whether CNN models developed using DUD-E are properly learning the underlying physics of molecular …

The Internet's Invisible Cleanup Crew, Emily Drabinski

Publications and Research

Review of Behind the Screen: Content Moderation in the Shadow of Social Media by Sarah T. Roberts

Hidden Bias In The Dud-E Dataset Leads To Misleading Performance Of Deep Learning In Structure-Based Virtual Screening, Lieyang Chen, Anthony Cruz, Steven Ramsey, Callum J. Dickson, Jose S. Duca, Viktor Hornak, David R. Koes, Tom Kurtzman

Publications and Research

Recently much effort has been invested in using convolutional neural network (CNN) models trained on 3D structural images of protein-ligand complexes to distinguish binding from non-binding ligands for virtual screening. However, the dearth of reliable protein-ligand x-ray structures and binding affinity data has required the use of constructed datasets for the training and evaluation of CNN molecular recognition models. Here, we outline various sources of bias in one such widely-used dataset, the Directory of Useful Decoys: Enhanced (DUDE). We have constructed and performed tests to investigate whether CNN models developed using DUD-E are properly learning the underlying physics of molecular …

Adherence To The Street Code Predicts An Earlier Anticipated Death, Kevin T. Wolff, Jonathan Intravia, Michael T. Baglivio, Alex R. Piquero

Publications and Research

Objective: Criminologists have long been interested in the relationship between subcultural attitudes and antisocial behavior, with Anderson’s street code thesis being the most recent and often researched foray in this area. Relatedly, scholars have begun to investigate the risk factors associated with the anticipation of early death. Extant research, however, has yet to empirically test Anderson’s hypothesis that subscription to the street code is predictive of an anticipated early death. This study contributes to the literatures on the street code as well as fatalism by investigating the link between these two constructs.

Method: Using data from a sample of serious …

Evaluation Of The Uncertainty In Satellite-Based Crop State Variable Retrievals Due To Site And Growth Stage Specific Factors And Their Potential In Coupling With Crop Growth Models, Nathaniel Levitan, Yanghui Kang, Mutlu Özdogan, Vincenzo Magliulo, Paulo Castillo, Fred Moshary, Barry Gross

Publications and Research

Coupling crop growth models and remote sensing provides the potential to improve our understanding of the genotype x environment x management (G X E X M) variability of crop growth on a global scale. Unfortunately, the uncertainty in the relationship between the satellite measurements and the crop state variables across different sites and growth stages makes it diffcult to perform the coupling. In this study, we evaluate the effects of this uncertainty with MODIS data at the Mead, Nebraska Ameriflux sites (US-Ne1, US-Ne2, and US-Ne3) and accurate, collocated Hybrid-Maize (HM) simulations of leaf area index (LAI) and canopy light use …

Religion And Support For Political Violence Among Christians And Muslims In Africa, Amy Adamczyk, Gary Lafree

Publications and Research

Researchers have found consistently that religion reduces criminal behavior. Yet rising levels of political violence are frequently attributed to a new wave of religious terrorism. Our study seeks to reconcile this apparent discrepancy by studying the attitudes of people living in 34 African nations. Using data from the Afrobarometer survey and mixed modeling, we examine the influence of individual and collective religiosity for shaping civic engagement and willingness to engage in political violence. While individual religiosity decreases support for violent political action, collective religiosity increases it. The effects of religiosity are the same for Muslims and Christians and the country …

Thinking Like An Ethnographer, Kristina Baines

Publications and Research

Learning to conduct ethnographic research means more than simply learning about the different ethnographic methods and putting them into action. To gather data ethnographically, we say we need to use ourselves--our bodies and our minds--as the tool of data collection. Ethnographers use their five senses to observe human behavior and write about what they observe, however, they need to develop those senses to help them collect accurate data. Part of this process is developing what is called the “ethnographic mindset.” This chapter outline ways in which ethnographic researchers can begin to develop this mindset.

A Note On Distance-Based Entropy Of Dendrimers, Modjtaba Ghorbani, Matthias Dehmer, Samaneh Zangi, Abbe Mowshowitz, Frank Emmert-Streib

Publications and Research

This paper introduces a variant of entropy measures based on vertex eccentricity and applies it to all graphs representing the isomers of octane. Taking into account the vertex degree as well (degree-ecc-entropy), we find a good correlation with the acentric factor of octane isomers. In particular, we compute the degree-ecc-entropy for three classes of dendrimer graphs.

A Mixed-Methods, Randomized Clinical Trial To Examine Feasibility Of A Mindfulness-Based Stress Management And Diabetes Risk Reduction Intervention For African Americans With Prediabetes, Cheryl L. Woods-Giscombe, Susan A. Gaylord, Yin Li, Carrie E. Brintz, Shrikant I. Bangdiwala, John B. Buse, John D. Mann, Chanee Lynch, Pamela Phillips, Sunyata Smith, Karyn Leniek, Laura Young, Saada Al-Barwani, Jeena Yoo, Keturah Faurot

Publications and Research

African Americans have disproportionately high rates of stress-related conditions, including diabetes and diabetes-related morbidity. Psychological stress may negatively influence engagement in risk-reducing lifestyle changes (physical activity and healthy eating) and stress-related physiology that increase diabetes risk. ,is study examined the feasibility of conducting a randomized trial comparing a novel mindfulness-based stress management program combined with diabetes risk-reduction education versus a conventional diabetes risk-reduction education program among African American adults with prediabetes and self-reported life stress. Participants were recruited in collaboration with community partners and randomized to the mindfulness- based diabetes risk-reduction education program for prediabetes (MPD; n = 38) or …

A Comparison Of Individual Learning And Social Learning In Zebrafish Through An Ethorobotics Approach, Yanpeng Yang, Romain J. G. Clément, Stefano Ghirlanda, Maurizio Porfiri

Publications and Research

Social learning is ubiquitous across the animal kingdom, where animals learn from group members about predators, foraging strategies, and so on. Despite its prevalence and adaptive benefits, our understanding of social learning is far from complete. Here, we study observational learning in zebrafish, a popular animal model in neuroscience. Toward fine control of experimental variables and high consistency across trials, we developed a novel robotics-based experimental test paradigm, in which a robotic replica demonstrated to live subjects the correct door to join a group of conspecifics. We performed two experimental conditions. In the individual training condition, subjects learned the correct …

Bioluminescent Flashes Drive Nighttime Schooling Behavior And Synchronized Swimming Dynamics In Flashlight Fish, David F. Gruber, Brennan T. Phillips, Rory O'Brien, Vivek Boominathan, Ashok Veeraraghavan, Ganesh Vasan, Peter O'Brien, Vincent A. Pieribone, John S. Sparks

Publications and Research

Schooling fishes, like flocking birds and swarming insects, display remarkable behavioral coordination. While over 25% of fish species exhibit schooling behavior, nighttime schooling has rarely been observed or reported. This is due to vision being the primary modality for schooling, which is corroborated by the fact that most fish schools disperse at critically low light levels. Here we report on a large aggregation of the bioluminescent flashlight fish Anomalops katoptron that exhibited nighttime schooling behavior during multiple moon phases, including the new moon. Data were recorded with a suite of low-light imaging devices, including a high-speed, high-resolution scientific complementary metal-oxide-semiconductor …

Master Integrals For The Two-Loop, Non-Planar Qcd Corrections To Top-Quark Pair Production In The Quark-Annihilation Channel, Matteo Becchetti, Roberto Bonciani, Valerio Casconi, Andrea Ferroglia, Simone Lavacca, Andreas Von Manteuffel

Publications and Research

We present the analytic calculation of the Master Integrals for the two-loop, non-planar topologies that enter the calculation of the amplitude for top-quark pair hadroproduction in the quark-annihilation channel. Using the method of differential equations, we expand the integrals in powers of the dimensional regulator ε and determine the expansion coefficients in terms of generalized harmonic polylogarithms of two dimensionless variables through to weight four.