Digital Commons Network^™

Nanoscale Hybrid Electrolytes With Viscosity Controlled Using Ionic Stimulus For Electrochemical Energy Conversion And Storage, Sara T. Hamilton, Tony G. Feric, Sahana Bhattacharyya, Nelly M. Cantillo, Steven G. Greenbaum, Thomas A. Zawodzinski, Ah-Hyung Alissa Park

Publications and Research

As renewable energy is rapidly integrated into the grid, the challenge has become storing intermittent renewable electricity. Technologies including flow batteries and CO 2 conversion to dense energy carriers are promising storage options for renewable electricity. To achieve this technological advancement, the development of next generation electrolyte materials that can increase the energy density of flow batteries and combine CO 2 capture and conversion is desired. Liquid-like nanoparticle organic hybrid materials (NOHMs) composed of an inorganic core with a tethered polymeric canopy (e.g., polyetheramine (HPE)) have a capability to bind chemical species of interest including CO 2 and redox-active species. …

Dominicans In The United States: A Socioeconomic Profile 2022, Ramona Hernandez, Francisco L. Rivera-Batiz, Sidie S. Sisay

Publications and Research

This research report presents the first detailed study of the socioeconomic status of the Dominican population of the United States as we enter the second decade of the 2000s, including a discussion of the impact of the COVID-19 pandemic.

Human Services Remote Internships: What Have We Learned And Where We Are Headed, Nicole Kras

Publications and Research

The rapid onset of the COVID-19 pandemic prompted human services education programs to rapidly rethink the structure of their fieldwork offerings. Mandated social restrictions led to the creation of alternative options to in-person internships. Some of these options included assignment-based tasks, online workshops and trainings, work-based experiences, limited in-person contact at fieldwork sites, and remote internships. For many programs, remote internships were a novel idea that needed to be quickly developed and implemented. The rise of tele-health services and the unknowns of a post-COVID world leaves open the possibility of an increase in remote human services internships for the future. …

Sensing Brownness: On Racialization, Perception, And Method, Amber Jamilla Musser

Publications and Research

Maureen Catbagan’s Dark Matter (2020) photography series invites us into sensing brownness. In these images of museum passages and stairwells, silhouettes of museum guards, and evocative shadows, Catbagan presents the landscape of the museum. However, this may not be immediately recognizable because the photographs draw focus to the parts of museums to which we rarely pay attention. In particular, Catbagan’s attention to the presence of guards allows us to perceive dynamics of racialized and gendered labor and laborers who, in an echo of their architectural focus on minor, peripheral spaces and shadows, hover between the underrecognized and oft-neglected, thereby allowing …

Library Wayfinding And Esol Students: Communication Challenges And Empathy-Based Intervention, Nora Almeida, Junior R. Tidal

Publications and Research

This article describes a wayfinding study conducted in an urban, academic library to better understand the experiences of multilingual student populations. The study, which incorporated traditional user experience methods and video ethnography, exposed communication obstacles and spatial challenges encountered by students of English for speakers of other languages (ESOL) when attempting information retrieval tasks. After outlining the methodology and examining qualitative findings, the authors discuss how study findings prompted a reevaluation of local practices, service models, and staff training protocols. Finally, the authors explore the potential for qualitative, empathy-based wayfinding studies to transform library practices and spaces.

Diversity And Multiculturalism In The 21st Century, Oluremi "Remi" Alapo

Publications and Research

This is a presentation on Diversity and Multi-Culturalism in the 21st Century related to the individual and society based on responses from in-class assignments during various semester course sessions [from 2019 to 2021] taught by the presenter at the York College [CUNY]. In the course in addition to culture, students learned about norms, values, systems of beliefs, social interaction, verbal and non-verbal communication, race and ethnicity, sex, sexual orientation and gender, technology and culture, cultural universalism and relativism, and how these affect our shared or distinct day to day cultural practices and social interaction in our various communities.

At the …

Designing Respectful Tech: What Is Your Relationship With Technology?, Noreen Y. Whysel

Publications and Research

According to research at the Me2B Alliance, people feel they have a relationship with technology. It’s emotional. It’s embodied. And it’s very personal. We are studying digital relationships to answer questions like “Do people have a relationship with technology?” “What does that relationship feel like?” And “Do people understand the commitments that they are making when they explore, enter into and dissolve these relationships?” There are parallels between messy human relationships and the kinds of relationships that people develop with technology. As with human relationships, we move through states of discovery, commitment and breakup with digital applications as well. Technology …

Sleep And Economic Status Are Linked To Daily Life Stress In African-Born Blacks Living In America., Zoe C. Waldman, Blayne R. Schenk, Marie Grace Duhuze Karera, Arielle C. Patterson, Thomas Hormenu, Lilian S. Mabundo, Christopher W. Dubose, Ram Jagannathan, Peter L. Whitesell, Annemarie Wentzel, Margrethe F. Horlyck-Romanovsky, Anne E. Sumner

Publications and Research

To identify determinants of daily life stress in Africans in America, 156 African-born Blacks (Age: 40 ± 10 years (mean ± SD), range 22-65 years) who came to the United States as adults (age ≥ 18 years) were asked about stress, sleep, behavior and socioeconomic status. Daily life stress and sleep quality were assessed with the Perceived Stress Scale (PSS) and Pittsburgh Sleep Quality Index (PSQI), respectively. High-stress was defined by the threshold of the upper quartile of population distribution of PSS (≥16) and low-stress as PSS < 16. Poor sleep quality required PSQI > 5. Low income was defined as groups, PSS were: 21 ± 4 versus …

Pathological Human Tau Induces Alterations In The Brain Insulin Signaling Cascade, Abdeslem El Idrissi, Alejandra Del Carmen Alonso

Publications and Research

The process of neurodegeneration in Alzheimer’s disease has been associated with a disruption of insulin signaling cascade in neurons, and to insulin resistance. T2DM correlates with Alzheimer’s disease, but mechanisms of interaction are unknown. We have developed a mouse model of tau induced neurodegeneration expressing pseudo-phosphorylated tau [Pathological Human Tau (PH-Tau)] in neurons. This model (PH-Tau-Tg) recapitulated cognitive decline and neurodegeneration observed in AD. In this study we examined if expression of PH-Tau could affect neuronal excitability and insulin receptor signaling. Neuronal excitability was investigated using intracerebral recordings of extracellular field potentials from prefrontal cortex after insulin and kainic acid …

Faculty’S Perception On Student Performance Using Vsim For Nursing® As A Teaching Strategy, Leighsa Sharoff

Publications and Research

During the COVID-19 pandemic, clinical nurse educators within pre-licensure baccalaureate educational programs had to quickly adapt to new ways of teaching. Hospital-based clinicals no longer permitted students to attend and some schools of nursing (SON) transitioned to virtual simulation learning environments. These alternative learning strategies were imperative for students continued progression. The first purpose of this pilot study explored nursing faculty’s perceived effectiveness of using vSim for Nursing® to replace clinical practice. A second purpose examined the effectiveness of faculty preparation. Effectiveness was evaluated using an adapted version of the Simulation Effectiveness Tool – Modified (SET-M). Mean scores indicated that …

Spatial Downscaling Of Goes-R Land Surface Temperature Over Urban Regions: A Case Study For New York City, Abdou Bah, Hamidreza Norouzi, Satya Prakash, Reginald Blake, Reza Khanbilvardi, Cynthia Rosenzweig

Publications and Research

The surface urban heat island (SUHI) effect is among the major environmental issues encountered in urban regions. To better predict the dynamics of the SUHI and its impacts on extreme heat events, an accurate characterization of the surface energy balance in urban regions is needed. However, the ability to improve understanding of the surface energy balance is limited by the heterogeneity of surfaces in urban areas. This study aims to enhance the understanding of the urban surface energy budget through an innovation in the use of land surface temperature (LST) observations from remote sensing satellites. A LST database with 5–min …

Integrating Natural Language Processing And Interpretive Thematic Analyses To Gain Human-Centered Design Insights On Hiv Mobile Health: Proof-Of-Concept Analysis, Simone J. Skeen, Stephen Scott Jones, Carolyn Marie Cruse, Keith J. Horvath

Publications and Research

Background: HIV mobile health (mHealth) interventions often incorporate interactive peer-to-peer features. The user-generated content (UGC) created by these features can offer valuable design insights by revealing what topics and life events are most salient for participants, which can serve as targets for subsequent interventions. However, unstructured, textual UGC can be difficult to analyze. Interpretive thematic analyses can preserve rich narratives and latent themes but are labor-intensive and therefore scale poorly. Natural language processing (NLP) methods scale more readily but often produce only coarse descriptive results. Recent calls to advance the field have emphasized the untapped potential of combined NLP …

Spontaneous Eye Blink Rate During The Working Memory Delay Period Predicts Task Accuracy, Jefferson Ortega, Chelsea Reichert Plaska, Bernard Gomes, Timothy M. Ellmore

Publications and Research

Spontaneous eye blink rate (sEBR) has been linked to attention and memory, specifically working memory (WM). sEBR is also related to striatal dopamine (DA) activity with schizophrenia and Parkinson’s disease showing increases and decreases, respectively, in sEBR. A weakness of past studies of sEBR and WM is that correlations have been reported using blink rates taken at baseline either before or after performance of the tasks used to assess WM. The goal of the present study was to understand how fluctuations in sEBR during different phases of a visual WM task predict task accuracy. In two experiments, with recordings of …

A Novel Non‑Selective Atypical Pkc Agonist Could Protect Neuronal Cell Line From A Β ‑Oligomer Induced Toxicity By Suppressing A Β Generation, Dongmei Zou, Qian Li, Wenyang Pan, Peng Chen, Miao Sun, Xiaofeng Bao

Publications and Research

Atypical protein kinase C (aPKCs) serve key functions in embryonic development by regulating apical-basal polarity. Previous studies have shed light on their roles during adulthood, especially in the development of Alzheimer's disease (AD). Although the crystal structure of PKCι has been resolved, an agonist of aPKCs remains to be discovered. In the present study, by using the Discovery Studio program and LibDock methodology, a small molecule library (K66-X4436 KINA Set) of compounds were screened for potential binding to PKCι. Subsequently, the computational docking results were validated using affinity selection-mass spectrometry, before in vitro kinase activity was used to determine the …

Ontogenetic Drivers Of Morphological Evolution In Monitor Lizards And Allies (Squamata: Paleoanguimorpha), A Clade With Extreme Body Size Disparity, Carlos J. Pavón-Vázquez, Damien Esquerré, J. Scott Keogh

Publications and Research

Background

Heterochrony, change in the rate or timing of development, is thought to be one of the main drivers of morphological evolution, and allometry, trait scaling patterns imposed by size, is traditionally thought to represent an evolutionary constraint. However, recent studies suggest that the ontogenetic allometric trajectories describing how organisms change as they grow may be labile and adaptive. Here we investigated the role of postnatal ontogenetic development in the morphological diversification of Paleoanguimorpha, the monitor lizards and allies, a clade with extreme body size disparity. We obtained linear and geometric morphometric data for more than 1,600 specimens belonging to …

The G Protein-Coupled Serotonin 1a Receptor Augments Protein Kinase C Ε -Mediated Neurogenesis In Neonatal Mouse Hippocampus—Pkc Ε -Mediated Signaling In The Early Hippocampus, Sreyashi Samaddar, Sudarshana Purkayastha, Souleymane Diallo, Subramanyam J. Tantry, Ryan Schroder, Pranavan Chanthrakumar, Michael J. Flory, Probal Banerjee

Publications and Research

The neurotransmitter serotonin (5-HT) plays an important role in mood disorders. It has been demonstrated that 5-HT signaling through 5-HT1A receptors (5-HT1A-R) is crucial for early postnatal hippocampal development and later-life behavior. Although this suggests that 5-HT1A-R signaling regulates early brain development, the mechanistic underpinnings of this process have remained unclear. Here we show that stimulation of the 5-HT1A-R at postnatal day 6 (P6) by intrahippocampal infusion of the agonist 8-OH-DPAT (D) causes signaling through protein kinase Cε (PKCε) and extracellular receptor activated kinase ½ (ERK1/2) to boost neuroblast proliferation in the dentate gyrus (DG), as displayed by an increase …

Factors Associated With Hepatitis B Medication Adherence And Persistence Among Underserved Chinese And Vietnamese Americans, Aisha Bhimla, Lin Zhu, Wenyue Lu, Sarit Golub, Chibuzo Enemchukwu, Elizabeth Handorf, Yin Tan, Ming-Chin Yeh, Minhhuyen T. Nguyen, Min Qi Wang, Grace X. Ma

Publications and Research

Background: Hepatitis B virus (HBV) infection disproportionately affects Asian Amer- icans in the United States, while this population faces low adherence to HBV treatment. Using the information–motivation–behavioral skills model (IMB), the study aims to examine medication adherence and persistence among Chinese and Vietnamese people with HBV. Methodology: Study participants were recruited between March 2019 and March 2020 and were enrolled through multiple recruitment approaches in the Greater Philadelphia Area and New York City. The study is an assess- ment of the baseline data on medication adherence, HBV-related knowledge, motivation of HBV med- ication treatment, self-efficacy about HBV medication treatment, and …

Diagnosis Of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning, Yu-Yeh Tsai, Wei-Yang Ling, Shih-Jen Chen, Paisan Ruamviboonsuk, Cheng-Ho King, Chia-Ling Tsai

Publications and Research

Purpose: To differentiate polypoidal choroidal vasculopathy (PCV) from choroidal neovascularization (CNV) and to determine the extent of PCV from fluorescein angiography (FA) using attention-based deep learning networks.

Methods: We build two deep learning networks for diagnosis of PCV using FA, one for detection and one for segmentation. Attention-gated convolutional neural network (AG-CNN) differentiates PCV from other types of wet age-related macular degeneration. Gradient-weighted class activation map (Grad-CAM) is generated to highlight important regions in the image for making the prediction, which offers explainability of the network. Attention-gated recurrent neural network (AG-PCVNet) for spatiotemporal prediction is applied for segmentation …

Possibilities For Using Visual Drawing With Student-Teachers: Linking Childhood Memories To Future Teaching Selves, Debbie Sonu

Publications and Research

Drawing from memory-work, this study examines the relationship between childhood and the peda- gogical perspectives and practices of 16 pre-service student-teachers enrolled at one large university in the United States. In an analysis of their visual drawings and written narratives of childhood memories, student-teachers link childhood pasts with teaching futures in three distinct ways: 1) intimate con- nections with former teachers, 2) difficult life circumstances involving loss or trauma, and 3) the primacy of family and culture. Each set of memories is tied to a range of responsibilities that student-teachers vow to uphold, leading towards more re!exive practices in teacher …

Maintain The Sharp Cutting Edge Of Periodontal Instruments, Khrystyna Vyprynyuk, Annie Chitlall

Publications and Research

No abstract provided.

From Abortion Rights To Reproductive Justice: A Call To Action, Erica Goldblatt Hyatt, Judith L.M. Mccoyd, Mery Diaz

Publications and Research

As aggressive cultural and legislative attacks on abortion rights and access continue, we call upon social workers to pursue the liberatory aims of the reproductive justice (RJ) movement. We argue that the RJ framework, rooted in feminist theory, aligns with social work’s social justice ethos and goals, appropriately guiding advocacy and intervention. After outlining the central aims and tenets of the RJ movement, we consider policies that impair RJ and those that could promote RJ, focusing on enhancing body sovereignty, childbearing, and parenting. We conclude with concrete recommendations for how social workers can pursue RJ professionally and personally.

Diagnosis Of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning, Yu-Yeh Tsai, Wei-Yang Lin, Shih-Jen Chen, Paisan Ruamviboonsuk, Cheng-Ho King, Chia-Ling Tsai

Publications and Research

Purpose: To differentiate polypoidal choroidal vasculopathy (PCV) from choroidal neovascularization (CNV) and to determine the extent of PCV from fluorescein angiography (FA) using attention-based deep learning networks.

Methods: We build two deep learning networks for diagnosis of PCV using FA, one for detection and one for segmentation. Attention-gated convolutional neural network (AG-CNN) differentiates PCV from other types of wet age-related macular degeneration. Gradient-weighted class activation map (Grad-CAM) is generated to highlight important regions in the image for making the prediction, which offers explainability of the network. Attention-gated recurrent neural network (AG-PCVNet) for spatiotemporal prediction is applied for segmentation of PCV. …

Community Resilience: Stories About Chinatowns In Nyc During The Covid-19 Pandemic, Wendy W. Tan

Publications and Research

After two years of the COVID-19 pandemic, the sentiment that future is still insecure, and fluid has been widely shared by all the American communities. However, for this essay, I touched upon the effects and their measures of staying strong in a few Chinese American communities in New York City.

Attitudes Towards Wearing Masks Among Young Adults, Diana Saiki, Alyssa Dana Adomaitis, Jay Kandiah

Publications and Research

The purpose of this study was to investigate attitudes about mask characteristics among young adults. Research questions included the following: (1) How do attitudes about: Do practical characteristics of masks influence mask-wearing? and (2) Does mask style and extrinsic characteristics influence mask-wearing? A mixed-methods approach was used. In December 2020, a survey was distributed online to fashion classes in the Midwest(rural) and Northeast (urban). The questionnaire contained a demographics section, open-ended questions about participants’ attitudes about masks, questions on mask-wearing behaviour, and a list of garment characteristics. The open-ended questions were analyzed for themes. The Likert scale questions were analyzed …

Linking Critical Consciousness And Health: The Utility Of The Critical Reflection About Social Determinants Of Health Scale (Cr_Sdh), Liliane Cambraia Windsor, Alexis Jemal, Jacob Goffnett, Douglas Cary Smith, Jesus Sarol Jr.

Publications and Research

Introduction: Critical consciousness (CC) theory has been proposed as a framework to inform health interventions targeting a wide variety of health conditions. Unfortunately, methodological limitations have made it difficult to test CC as a mediator of health outcomes. Specifically, standardized and widely accepted measures of health- related CC are needed. The goal of this study was to develop and test a measure of critical reflection on social determinants of health (SDH). This measure focused on critical reflection, an essential dimension of CC.

Methods: Community-based participatory research principles and a mixed methods design were used with three samples: (1) experts in …

Does Breastfeeding Account For The Association Between Maternal Sensitivity And Infant Cognitive Development In A Large, Nationally Representative Cohort?, P. Nina Banerjee, Karen E. Mcfadden, Jacqueline D. Shannon, Leslie L. Davidson

Publications and Research

Background: Previous research has established that exposure to high maternal sensitivity is positively associated with advances in infant cognitive development. However, there are many fixed and modifiable factors that influence this association. This study investigates whether the association between maternal sensitivity and infant cognitive development in the first year of life is accounted for by other factors, such as breastfeeding, maternal depressive symptoms, maternal alcohol use, infant birth weight or demographic covariates.

Methods: Using data from the Early Childhood Longitudinal Study-Birth (ECLS-B) Cohort, a nationally representative sample of U.S. born children, multi-variable regression analyses was used to examine whether breastfeeding, …

Emotion Recognition With Audio, Video, Eeg, And Emg: A Dataset And Baseline Approaches, Jin Chen, Tony Ro, Zhigang Zhu

Publications and Research

This paper describes a new posed multimodal emotional dataset and compares human emotion classification based on four different modalities - audio, video, electromyography (EMG), and electroencephalography (EEG). The results are reported with several baseline approaches using various feature extraction techniques and machine-learning algorithms. First, we collected a dataset from 11 human subjects expressing six basic emotions and one neutral emotion. We then extracted features from each modality using principal component analysis, autoencoder, convolution network, and mel-frequency cepstral coefficient (MFCC), some unique to individual modalities. A number of baseline models have been applied to compare the classification performance in emotion recognition, …

Metric-Driven Initiative For Promoting Staff Diversity, Dewi Brown-Deveaux, Brittany R. Richards

Publications and Research

No abstract provided.

Interest Groups, Local Politics, And Police Unions, Daniel Disalvo

Publications and Research

Police unions raise issues of great importance for political scientists. Yet, the field has neglected them. This essay argues that political scientists should see police unions as important interest groups, empowered by state collective bargaining laws, that are important players in local politics and shapers of the criminal justice system in America. The organizational properties that make police unions important interest groups are described. The important political questions that arise once we consider police union as interest groups are examined. The existing research on police unions—especially their impact on government costs and police behavior—is detailed. Ultimately, the study of collective …

Democratizing Bioinformatics Through Easily Accessible Software Platforms For Non-Experts In The Field, Konstantinos Krampis

Publications and Research

No abstract provided.