Digital Commons Network^™

Birds And Birders In Westport, Massachusetts, Then And Now, Betty F. Slade, David C. Cole

Bird Observer

No abstract provided.

The Importance Of Naturalists In Identifying Global Warming In Our Backyards, Abraham J. Miller-Rushing, Richard B. Primack

Bird Observer

No abstract provided.

About Books: Follow That Bird! Magnificent Feathered Obsessions, Mark Lynch

Bird Observer

No abstract provided.

About Books: Some Natural History History, Mark Lynch

Bird Observer

No abstract provided.

Alexander Skutch Remembered, Elissa Landre

Bird Observer

No abstract provided.

J. A. Allen: The Shy And Retiring Giant, William E. Davis Jr.

Bird Observer

No abstract provided.

Making The Rounds, 1996, V1 N15, April 8, Advocate Aurora Health

Historical Documents - Combined

The Park Ridge Center, Chicago, IL: Issue of "Making the Rounds in Health, Faith, & Ethics", a publication from The Park Ridge Center for the Study of Health, Faith and Ethics, associated with Lutheran General Hospital. This issue has a feature on narrative ethics, and an interview with Martha Holstein about societal responsibility and children.

Making The Rounds, 1996, V1 N19, June 3, Advocate Aurora Health

Historical Documents - Combined

The Park Ridge Center, Chicago, IL: Issue of "Making the Rounds in Health, Faith, & Ethics", a publication from The Park Ridge Center for the Study of Health, Faith and Ethics, associated with Lutheran General Hospital. This issue features an interview with a administrator at Lutheran General Hospital and the current changes in nursing, as well as commentary about a ethics and clinical trials.

Making The Rounds, 1996, V2 N2, September 23, Advocate Aurora Health

Historical Documents - Combined

The Park Ridge Center, Chicago, IL: Issue of "Making the Rounds in Health, Faith, & Ethics", a publication from The Park Ridge Center for the Study of Health, Faith and Ethics, associated with Lutheran General Hospital. This issue features a case study from a patient with chronic atopic eczema with a responding commentary, an epilogue to the "Case Stories" series in this publication, and a follow up essay on xenotransplantation from a prior issue.

This is the final issue of this publication.

Deep Learning Image Analysis To Isolate And Characterize Different Stages Of S-Phase In Human Cells, Kevin A. Boyd, Rudranil Mitra, John Santerre, Christopher L. Sansam

SMU Data Science Review

Abstract. This research used deep learning for image analysis by isolating and characterizing distinct DNA replication patterns in human cells. By leveraging high-resolution microscopy images of multiple cells stained with 5-Ethynyl-2′-deoxyuridine (EdU), a replication marker, this analysis utilized Convolutional Neural Networks (CNNs) to perform image segmentation and to provide robust and reliable classification results. First multiple cells in a field of focus were identified using a pretrained CNN called Cellpose. After identifying the location of each cell in the image a python script was created to crop out each cell into individual .tif files. After careful annotation, a CNN was …

Differentiation Of Human, Dog, And Cat Hair Fibers Using Dart Tofms And Machine Learning, Laura Ahumada, Erin R. Mcclure-Price, Chad Kwong, Edgard O. Espinoza, John Santerre

SMU Data Science Review

Hair is found in over 90% of crime scenes and has long been analyzed as trace evidence. However, recent reviews of traditional hair fiber analysis techniques, primarily morphological examination, have cast doubt on its reliability. To address these concerns, this study employed machine learning algorithms, specifically Linear Discriminant Analysis (LDA) and Random Forest, on Direct Analysis in Real Time time-of-flight mass spectra collected from human, cat, and dog hair samples. The objective was to develop a chemistry- and statistics-based classification method for unbiased taxonomic identification of hair. The results of the study showed that LDA and Random Forest were highly …

The Impact Of The Covid-19 Pandemic On Faculty Productivity And Gender Inequalities In Stem Disciplines, Monnie Mcgee, Raag Patel, Roslyn Smith, Satvik Ajmera

SMU Data Science Review

Women and minorities within STEM disciplines historically encounter obstacles in academic advancement, a situation compounded by the COVID-19 pandemic due to the imposition of additional responsibilities like caregiving. This study meticulously probes into the pandemic's influence on traditional academic productivity metrics – specifically publication and submission frequency, citation volume, and leadership in scholarly entities, by employing Natural Language Processing to extract and analyze data from key journals within various scientific domains. A critical revelation from the research indicates a notable downturn in publication activity during 2021, potentially attributed to pandemic-induced disruptions, with a compensatory surge observed in 2022. Although a …

Predicting Land Reclamation Of Bond Released Surface Mines, Kendall Scott, Austin Webb, Tadd Backus, Robert Slater

SMU Data Science Review

Accurately measuring the recovery of released surface mines in the UnitedStates poses crucial challenges. This study aims to develop a prediction of land classification, that considers various environmental and coal mine variables. By utilizing this prediction, the researchers and environmentalists (specifically Appalachian Voices, the group heading this research) can better understand the relevant factors for successful reclamation. Efficient management of mine recovery is essential for environmental sustainability, regulatory compliance, and resource utilization. This study focuses on the Appalachian Forest area, which risks becoming a net carbon source (a place that emits more carbon than it absorbs) due to mine recovery. …

Utilizing Computer Vision For Automated Cellular Microscopy, Ahmed Awadallah, Ryan Bass, James Burke, Robert Price, John Santerre

SMU Data Science Review

Abstract. Post-acquisition data analysis of microscopy images is a vital yet time-consuming process for researchers. Quantitative fields such as biology and microbiology often require using images as primary data sources. Finding methods to automate this process would increase the throughput, quality, and reproducibility. This research aims to provide a novel end-to-end pipeline that reduces the workload on researchers in identifying cell cytoplasm and nuclei while creating a process that can scale to the researcher's needs. The proposed methodology utilizes various image-processing techniques to rapidly identify the boundaries of cells and nuclei, including filtering, thresholding, and deep learning. The results …

The Overture! Then Is Here-And-Now: Hindsight Is Twenty, Twenty?, Elena Kydd

Music Therapy Theses

My existence and presence as a Black woman and graduate scholar in music therapy have allowed me to share my experience of racial trauma and oppression in the hallways of GCSU’s music therapy program. Autoethnography is the method I use to write my thesis on the relationships between Blackness, pedagogy, and music therapy. Thus, I perform an evocative autoethnographic study that allows me to share my personal experience of racial trauma and oppression within the culture of music therapy and to critique the larger social structures of whiteness that disenfranchise and dominate me and other Black student music therapists (SMTs). …

Medical School Watercooler Newsletter - December 12, 2023, Lindsey Lyle

Watercooler Newsletter

This is the December 12, 2023 edition of the Frederick P. Whiddon College of Medicine's newsletter - Watercooler.

Contents Include:

• Audia receives NIH grant to study antibiotic-resistant bacteria
• Reconstructive urologist joins USA Health and Whiddon COM
• Perkins awarded $16 million grant to help address national physician shortage
• Alumni, faculty participate in medical mission trip
• Doctoral students receive inaugural Godwin Emerging Scholars Endowed Awards
• USA Student-Run Free Clinic receives grant from CeraVe

Soybean Genetics, Genomics, And Breeding For Improving Nutritional Value And Reducing Antinutritional Traits In Food And Feed, William M. Singer, Yi-Chen Lee, Zachary Shea, Caio Canella Vieira, Dongho Lee, Xiaoying Li, Mia Cunicelli, Shaila S. Kadam, Mohammad Amir Waseem Khan, Grover Shannon, M. A. Rouf Mian, Henry T. Nguyen, Bo Zhang

Agriculture Faculty Publications

Soybean [Glycine max(L.) Merr.] is a globally important crop due to its valuable seed composition, versatile feed, food, and industrial end-uses, and consistent genetic gain. Successful genetic gain in soybean has led to widespread adaptation and increased value for producers, processors, and consumers. Specific focus on the nutritional quality of soybean seed composition for food and feed has further elucidated genetic knowledge and bolstered breeding progress. Seed components are historical and current targets for soybean breeders seeking to improve nutritional quality of soybean. This article reviews genetic and genomic foundations for improvement of nutritionally important traits, such as protein and …

Course Correction: Navigating Equity In Ninth-Grade Advanced Placement, Sarah R. Morris, Sarah C. Mckenzie, Miranda Vernon

Education Reform Faculty and Graduate Students Publications

This robust mixed-methods study examines ninth-grade advanced course placement in Arkansas, revealing disparities rooted in race and socioeconomic status. Utilizing a logit analysis for a five-year pooled sample (n=163,616), we find persistent enrollment gaps for Black ninth-grade students after controlling for prior academic achievement, highlighting systemic barriers to access to advanced courses. Socioeconomic divides are also evident in our analysis. Qualitative findings from counselor interviews highlight the importance of parental involvement in course placement decisions, particularly for students from lower socioeconomic backgrounds. Overall, we find through these interviews that districts consider a myriad of factors when considering course placement for …

Beyond The Basics: Unraveling The Complexity Of Coronary Artery Calcification, Satwat Hashmi, Pashmina Wiqar Shah, Zouhair Aherrahrou, Elena Aikawa, Rédouane Aherrahrou

Department of Biological & Biomedical Sciences

Coronary artery calcification (CAC) is mainly associated with coronary atherosclerosis, which is an indicator of coronary artery disease (CAD). CAC refers to the accumulation of calcium phosphate deposits, classified as micro- or macrocalcifications, that lead to the hardening and narrowing of the coronary arteries. CAC is a strong predictor of future cardiovascular events, such as myocardial infarction and sudden death. Our narrative review focuses on the pathophysiology of CAC, exploring its link to plaque vulnerability, genetic factors, and how race and sex can affect the condition. We also examined the connection between the gut microbiome and CAC, and the impact …

The ‘Surplus’ Of Siem Reap: A Comparative Study Of Cambodia’S Urban Recyclers, Karin Schroeder

Student Theses 2015-Present

The modern influx of consumer goods and waste from Western, capitalistic economies to Southeast Asian countries has amassed unprecedented amounts of solid waste. With no pre-existing, formal recycling infrastructure, managing recyclables fell to the informal sector. Driven to informal work by slow job growth, limitations to educational attainment, no pre-existing capital, disability, landlessness, or gender norms, a surplus of urban recyclers have emerged to uphold a waste commodity chain that returns value to discarded material while cleaning up urban environments. Despite providing an invaluable service, these waste pickers, buyers, and depot workers are rarely treated with respect by their communities …

The Mayfly Newsletter, Donna Giberson

The Mayfly Newsletter

The Mayfly Newsletter is the official newsletter of the Permanent Committee of the International Conferences on Ephemeroptera.

Coastal Wetland Restoration Through The Lens Of Odum's Theory Of Ecosystem Development, Friedrich W. Keppeler, Annette S. Engel, Linda M. Hooper-Bùi, Paola C. López-Duarte, Charles W. Martin, Jill A. Olin, Katelyn J. Lamb, Michael J. Polito, Nancy N. Rabalais, Brian J. Roberts, Erick M. Swenson, Olaf P. Jensen

Michigan Tech Publications

Advancing ecological restoration assessments requires a more detailed consideration of species interactions and ecosystem processes. Most restoration projects rely on a few metrics not always directly linked with ecological theory. Here, we used Odum's theory of ecosystem development to assess and compare the ecosystem structure and services of created marshes (4–6 years old) with preexisting, reference marshes in a brackish water region of the Mississippi River Delta. We built ecosystem models for created and reference marshes that integrated large datasets of stomach contents, stable isotopes, and taxa abundances. Despite strong resemblance in community structure, created marshes were at an earlier …

Self-Care Practices For Common Acute Conditions In The Philippines: A Scoping Review, Arianna Maever Loreche, Veincent Christian F. Pepito, Manuel M. Dayrit

Ateneo School of Medicine and Public Health Publications

Purpose

This review aimed to identify and map published studies on self-care practices to manage common acute health conditions in the Philippines.

Design/methodology/approach

The authors conducted a scoping review in PubMed, Scopus, Cumulative Index of Nursing and Allied Health Literature (CINAHL), ProQuest Central, Journal Storage (JSTOR) and the Philippine Council for Health Research and Development – Health Research and Development Information Network (HERDIN). The authors included all studies on self-care practices to manage common acute conditions, namely low back pain, allergic rhinitis, general acute pain, cough, cold, diarrhea, constipation and stress, published up to 2021 in the Philippines. Information on …

Survey Of Transfer Learning Approaches In The Machine Learning Of Digital Health Sensing Data, Lina Chato, Emma Regentova

Electrical & Computer Engineering Faculty Research

Machine learning and digital health sensing data have led to numerous research achievements aimed at improving digital health technology. However, using machine learning in digital health poses challenges related to data availability, such as incomplete, unstructured, and fragmented data, as well as issues related to data privacy, security, and data format standardization. Furthermore, there is a risk of bias and discrimination in machine learning models. Thus, developing an accurate prediction model from scratch can be an expensive and complicated task that often requires extensive experiments and complex computations. Transfer learning methods have emerged as a feasible solution to address these …

Illuminating Type Iv Secretion-Mediated Dna Trafficking Through Long Filaments, Peter J Christie

Faculty, Staff and Student Publications

No abstract provided.

Kids For A Happy Marriage? A Preliminary Study On Marriage Satisfaction And Presence Or Absence Of Children Among Married Individuals In Indonesia, Alftisya Victory Hutabarat, Karel Karsten Himawan

Makara Human Behavior Studies in Asia

Having children after marriage tends to be seen as a normative practice in Indonesia. As a result, individuals who do not have children could be at risk of experiencing a set of social stigmas. The study aims to explore whether having children is associated with one’s marital satisfaction. In particular, the present study aims to explore the differences in marital satisfaction among married individuals who have biological children, who are childfree (voluntarily childless), and who are childless (involuntarily childless). A cross-sectional survey was conducted to 210 married individuals (M age = 34.3; SD = 7.9). The result shows that …

Status Survey Of Eight Rare Aquatic Macroinvertebrates In East Texas, Alexandra Randall

Biology Theses

Freshwater is essential to human existence. The health of each freshwater source is connected to the survival of pollution intolerant species of aquatic macroinvertebrates in the orders Ephemeroptera, Plecoptera, and Trichoptera (EPT taxa). A higher presence of EPT taxa equates to better water quality because their water bound larvae assist in maintaining clean freshwater environments and will not survive in highly polluted water. Human disruption to natural environments is causing increases in polluted freshwater, leading to decreases in the presence of EPT taxa. Texas Parks and Wildlife Department documentation shows major concern for the populations of eight EPT species of …

December 12, 2023 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Oral Small Molecule Agents In Management Of Ulcerative Colitis: Fact Or Fancy, Benan Kasapoğlu, Ati̇lla Ertan

Turkish Journal of Medical Sciences

Ulcerative colitis is a chronic, immune-mediated disease characterized by recurring episodes of mucosal inflammation in the colon and rectum. The primary pathogenic mechanism of ulcerative colitis is the dysregulation of the mucosal immune response. The disease follows a relapsing-remitting course, and the goal of management is to successfully induce and then maintain remission. Effectively managing this chronic disease requires addressing all aspects of it. Currently, we have various antitumor necrosis factor agents and novel biologics available for treating ulcerative colitis patients with moderate-to-severe disease. However, none of the existing treatments are considered entirely satisfactory or ideal in these cases. After …

Long Noncoding Rnas In Pancreas Cancer: From Biomarkers To Therapeutic Targets, Esra Güzel Tanoğlu, Seyfure Adigüzel, Alpaslan Tanoğlu, Zehra Betül Aydin, Güli̇zar Hocaoğlu, Samet Ebi̇nç

Turkish Journal of Medical Sciences

Long noncoding RNAs (lncRNAs) are noncoding RNA molecules with a heterogeneous structure consisting of 200 or more nucleotides. Because these noncoding RNAs are transcribed by RNA polymerase II, they have properties similar to messenger RNA (mRNA). Contrary to popular belief, the term "ncRNA" originated before the discovery of microRNAs. LncRNA genes are more numerous than protein-coding genes. They are the focus of current molecular research because of their pivotal roles in cancer-related processes such as cell proliferation, differentiation, and migration. The incidence of pancreatic cancer (PC) is increasing around the world and research on the molecular aspects of PC are …