Digital Commons Network^™

The Role Of Semaphorins In Response To Injury In C. Elegans Neurons, Maria Belen Harreguy Alfonso

Dissertations

When neural tissue is injured by trauma, delicate neuronal processes such as axons and dendrites are prone to lesion damage and often disconnect. The molecular, cellular, and circuit mechanisms that underlie the regrowth and reconnection of these processes and the recovery of behavior are major challenges in the fields of neuroscience, regeneration, and resilience. At the molecular and cellular levels, signaling pathways that mediate neuronal growth cone guidance during development can play a role in neuronal regeneration and recovery from injury. One family of signaling proteins involved in this process comprises the highly conserved semaphorins and their receptors, the plexins. …

Consequences Of Spatial Structure In Soil–Geomorphic Data On The Results Of Machine Learning Models, Daehyun Kim, Insang Song, Lorrayne Miralha, Daniel R. Hirmas, Ryan W. Mcewan, Tom G. Mueller, Pavel Samonil

Biology Faculty Publications

In this paper, we examined the degree to which inherent spatial structure in soil properties influences the outcomes of machine learning (ML) approaches to predicting soil spatial variability. We compared the performances of four ML algorithms (support vector machine, artificial neural network, random forest, and random forest for spatial data) against two non-ML algorithms (ordinary least squares regression and spatial filtering regression). None of the ML algorithms produced residuals that had lower mean values or were less autocorrelated over space compared with the non-ML approaches. We recommend the use of random forest when a soil variable of interest is weakly …

Konsep Diagnosis Dan Penatalaksanaan Fraktur Osteoporosis Terkini, I Gusti Ngurah Wien Aryana, Febyan Febyan

Jurnal Penyakit Dalam Indonesia

Osteoporosis is a metabolic bone disease that is caused by a decreased amount of bone mass, and microarchitectural damage to bone tissue that affects the bone to break easily. Osteoporosis can be divided into primary and secondary etiologies. Vertebral, hip, distal radius, and proximal humerus are the most common predilection of fracture complication due to osteoporosis. The diagnosis of osteoporotic fractures is established based on the identification of risk factors, general clinical manifestations, specific manifestation from each fracture predilection, and advanced examinations, including radiology imaging and dual-energy x-ray absorptiometry. The purpose of osteoporotic fractures management in elderly is a stable …

Optimization Of The Bio-Synthesis Of Magnesium Nanoparticles From Staphylococcus Haemolyticus: A Pilot Study, Mariam Bassam, Malak Mezher, Mahmoud Khalil

BAU Journal - Science and Technology

Nanotechnology is developing rapidly. This field has many influences in humans’ life. Nanoparticles (NPs) have many unique properties including the size, shape, morphology, and surface area. The synthesis of NPs could be achieved by three ways: physical, chemical, and biological. However, the biological synthesis of NPs has a priority on the other domains due to its safety and environmental friendship. In this regard, the main objective of this study was to synthesize magnesium (Mg) NPs from the bacterium S. haemolyticus which was isolated from the Lebanese wastewater. Different parameters were applied to detect the best conditions to produce the highest …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer

Turkish Journal of Biology

Deep learning is a powerful machine learning technique that can learn from large amounts of data using multiple layers of artificial neural networks. This paper reviews some applications of deep learning in bioinformatics, a field that deals with analyzing and interpreting biological data. We first introduce the basic concepts of deep learning and then survey the recent advances and challenges of applying deep learning to various bioinformatics problems, such as genome sequencing, gene expression analysis, protein structure prediction, drug discovery, and disease diagnosis. We also discuss future directions and opportunities for deep learning in bioinformatics. We aim to provide an …

Svm-Do: Identification Of Tumor-Discriminating Mrna Signatures Via Support Vectormachines Supported By Disease Ontology, Mustafa Erhan Özer, Pemra Özbek Sarica, Kazim Yalçin Arğa

Turkish Journal of Biology

Background/aim: The complicated nature of tumor formation makes it difficult to identify discriminatory genes. Recently, transcriptome-based supervised classification methods using support vector machines (SVMs) have become popular in this field. However, the inclusion of less significant variables in the construction of classification models can lead to misclassification. To improve model performance, feature selection methods such as enrichment analysis can be used to extract useful variable sets. The detection of genes that can discriminate between normal and tumor samples in the association of cancer and disease remains an area of limited information. We therefore aimed to discover novel and practical sets …

Compcorona: A Web Application For Comparative Transcriptome Analyses Ofcoronaviruses Reveals Sars-Cov-2-Specific Host Response, Rana Sali̇hoğlu, Fati̇h Saraçoğlu, Mustafa Si̇bai̇, Tali̇p Zengi̇n, Başak Abak Masud, Onur Karasoy, Tuğba Önal Süzek

Turkish Journal of Biology

Background/aim: Understanding the mechanism of host transcriptomic response to infection by the SARS-CoV-2 virus is crucial, especially for patients suffering from long-term effects of COVID-19, such as long COVID or pericarditis inflammation, potentially linked to side effects of the SARS-CoV-2 spike proteins. We conducted comprehensive transcriptome and enrichment analyses on lung and peripheral blood mononuclear cells (PBMCs) infected with SARS-CoV-2, as well as on SARS-CoV and MERS-CoV, to uncover shared pathways and elucidate their common disease progression and viral replication mechanisms. Materials and methods: We developed CompCorona, the first interactive online tool for visualizing gene response variance among the family …

Stemnesscore: An R Package To Estimate The Stemness Of Glioma Cancer Cells At Single-Cell Resolution, Necla Koçhan, Yavuz Oktay, Gökhan Karakülah

Turkish Journal of Biology

Background/aim: Glioblastoma is the most heterogeneous and the most difficult-to-treat type of brain tumor and one of the deadliest among all cancers. The high plasticity of glioma cancer stem cells and the resistance they develop against multiple modalities of therapy, along with their high heterogeneity, are the main challenges faced during treatment of glioblastoma. Therefore, a better understanding of the stemness characteristics of glioblastoma cells is needed. With the development of various single-cell technologies and increasing applications of machine learning, indices based on transcriptomic and/or epigenomic data have been developed to quantitatively measure cellular states and stemness. In this study, …

Suma: A Lightweight Machine Learning Model Powered Shared Nearest Neighbour Based Clustering Application Interface Of Scrna-Seq, Hamza Umut Karakurt, Pınar Pir

Turkish Journal of Biology

Background/aim: Single-cell transcriptomics (scRNA-Seq) explores cellular diversity at the gene expression level. Due to the inherent sparsity and noise in scRNA-Seq data and the uncertainty on the types of sequenced cells, effective clustering and cell type annotation are essential. The graph-based clustering of scRNA-Seq data is a simple yet powerful approach which presents data as a “shared nearest neighbour” graph and clusters the cells using graph clustering algorithms. These algorithms are dependent on several user-defined parameters. Here we present SUMA, a lightweight tool that uses a random forest model to predict the optimum number of neighbours to have the optimum …

Classification Of Colon Cancer Patients Into Consensus Molecular Subtypes Using Support Vector Machines, Necla Koçhan, Baris Emre Dayanc

Turkish Journal of Biology

Background/aim: The molecular heterogeneity of colon cancer has made classification of tumors a requirement for effective treatment. One of the approaches for molecular subtyping of colon cancer patients is the Consensus Molecular Subtypes (CMS) developed by the Colorectal Cancer Subtyping Consortium (CRCSC). CMS-specific RNA-Seq dependent classification approaches are recent with relatively low sensitivity and specificity. In this study, we aimed to classify patients into CMS groups using RNA-seq profiles. Materials and methods: We first identified subtype specific and survival associated genes using Fuzzy C-Means (FCM) algorithm and log-rank test. Then we classified patients using Support Vector Machines with Backward Elimination …

Physicochemical Differences Between Camelid Single-Domain Antibodies And Mammalian Antibodies, Nazli Eda Eski̇er, Doğa Eski̇er, Esi̇n Fi̇ruzan, Si̇bel Kalyoncu

Turkish Journal of Biology

Background/aim: In recent years, single-domain antibodies, also known as nanobodies, have emerged as an alternative to full immunoglobulin Gs (IgGs), due to their various advantages including increased solubility, faster clearance, and cheaper production. Nanobodies are generally derived from the variable domain of the camelid heavy-chain-only immunoglobulin Gs (hcIgGs). Due to the high sequence homology between variable heavy chains of camelids (VHHs) and humans (VHs), hcIgGs are ideal candidates for nanobody development. However, further examination is needed to understand the structural differences between VHs and VHHs. This analysis is essential for nanobody engineering to mitigate potential immunogenicity while preserving stability, functionality, …

Lead In Paint-Contaminated Residential Soils With Varying Physicochemical Properties From Three Large Us Cities: Assessment Of Geochemical Forms And Recommendations On Amendments For Immobilization, Hadeer Saleh, Dibyendu Sarkar, Washington Braida, Steve Larson, Rupali Datta

Michigan Tech Publications, Part 2

Lead in yard soils has been recognized as the principal source of excess lead absorption among young children. The hazard imposed by soil lead is dependent on the geochemical forms of lead in soils. Soil properties such as pH, soil organic matter, clay, and carbonate content influence the geochemical forms of lead in soil. This study was conducted to investigate the correlation between soil properties and the geochemical speciation of lead in lead paint-contaminated residential soils from three major US cities. A comprehensive field survey was conducted, involving the collection of soils from ten houses in each of the cities: …

An Investigation Into Dietary Fibre Intake, Bowel Function And Mood Among A Sample Of Irish Adults, Sophie Mulligan, Ellen Lynch, Suzanne Doyle

SURE Journal: Science Undergraduate Research Experience Journal

Background

Previous studies have examined the relationship between dietary fibre intake and mood and bowel function separately, however, no cross-sectional study has yet explored the relationship between all three variables. This study examines the association between dietary fibre intake, bowel function and mood in a cohort of Irish adults at a university campus.

Methods

A cross-sectional study was conducted. An online questionnaire was distributed to staff and students of TU Dublin through email and publicised using posters. Three validated surveys were used in the design of the questionnaire, to assess dietary fibre intake, mood and bowel function. All staff and …

The Potential Of Stem Cell Therapy In Multiple Sclerosis Treatment: A Review, Sorina Amarculesei, Ava O'Meara Cushen, Cathy Brougham

SURE Journal: Science Undergraduate Research Experience Journal

Multiple Sclerosis is an autoimmune and neurodegenerative disease of the central nervous system. There are currently 2.8 million people living with Multiple Sclerosis worldwide, including 9000 people in Ireland, with a prevalence of 193 per 100,000 people. Symptoms of Multiple Sclerosis include sensory loss, fatigue, cognitive dysfunction, spasticity, depression, optic neuritis, gait ataxia, diplopia, and loss of bladder control. Currently, there is no standardised treatment or cure for Multiple Sclerosis with many strategies focusing on symptoms. Stem cells have emerged as promising approaches for Multiple Sclerosis therapeutics. Clinical trials primarily focus on mesenchymal stem cell-based therapies for Multiple Sclerosis. Furthermore, …

Ungrading: Reflections Through A Feminist Pedagogical Lens, Erin M. Eggleston, Shelby Kimmel

Feminist Pedagogy

Ungrading is a pedagogical approach in which no grades are given on any assignments. Instead, students are provided with many opportunities to submit work and gain feedback. The goal is to shift student focus from achieving a grade to growth as a learner and a person. As instructors, our ungrading approach utilized personalized learning plans, checkpoint reflections, and student-professor learning conferences to put agency in the hands of our students. We employed this method in upper-level biology and computer science courses and provide critical reflections here regarding our experiences and the connections between this approach and feminist STEM pedagogy tenets. …

Feminist Biology: Towards Gender Equity In The Biology Curriculum, Nicole Danos, Carla Y. Bonilla, Sofia Leung

Feminist Pedagogy

The current curriculum in STEM is a product of historically unequal representation of genders in the science community. As a result, most attention has been given to male biology, creating a knowledge gap that has affected our social and political perspectives, such as an underinvestment in women’s health research. Feminist biology seeks to provide equal time and weight to the impact of sex as a biological factor, using inclusive definitions of biological sex that go beyond the male/female binary. Feminist pedagogy is a method of teaching that involves engaged learning and reflection in order to create a community of learners …

Characterizing The Ecology Of Plains (Spilogale Interrupta) And Eastern (Spilogale Putorius) Spotted Skunks: A Systematic Literature Review And Population Assessment In Kansas, Jenell De La Peña

Electronic Theses & Dissertations

The plains spotted skunk (Spilogale interrupta) has recently been recognized as a distinct species from the eastern spotted skunk (Spilogale putorius). While once abundant across the central and eastern United States, both species have experienced population declines, resulting in their review for listing under the Endangered Species Act (1973). In Kansas, the plains spotted skunk has suffered a particularly dramatic decline, the last detection in the state having occurred in 2020. Additionally, due to the recent taxonomic split, many past studies reporting on S. putorius ecology actually describe findings of two species, potentially complicating our understanding …

Isolation And Characterization Of Bacteriophages From Fish Tank Samples, Oluwaseyi Oluwagbeminiyi Oladele-Ajose

Electronic Theses and Dissertations

Bacteriophages (phages) are viral obligate intracellular parasites that infect bacteria. Research has been carried out on alternative treatment plans for bacterial infections due to the increase in antibiotic resistance. Phages have been proposed as an alternative to antibiotics. This research focused on the isolation and characterization of bacteria from small aquariums. A total of 42 bacterial isolates were isolated from seven different fish tank water samples and were tested to determine if they possessed phages. Spot plaque assay revealed presence of lytic phage for only one of the isolated bacterial strains, which was determined to belong to Enterobacteriaceae family based …

Protocol For An Agent-Based Model Of Recombination In Bacteria Playing A Public Goods Game, Isaiah Paolo A. Lee, Omar T. Eldakar, J. Peter Gogarten, Cheryl P. Andam

Biology Faculty Articles

Agent-based models are composed of individual agents coded for traits, such as cooperation and cheating, that interact in a virtual world based on defined rules. Here, we describe the use of an agent-based model of homologous recombination in bacteria playing a public goods game. We describe steps for software installation, setting model parameters, running and testing models, and visualization and statistical analysis. This protocol is useful in analyses of horizontal gene transfer, bacterial sociobiology, and game theory.

For complete details on the use and execution of this protocol, please refer to Lee et al.¹

Habitat And Demography Of The Ozark Chinquapin (Castanea Ozarkensis) At Roaring River State Park In Barry County, Missouri, Danielle Evilsizor

Electronic Theses & Dissertations

The Ozark chinquapin, Castanea ozarkensis Ashe, is a chestnut tree with a range concentrated in the Interior Highlands of North America. Like other North American members of Castanea, it was reduced from an overstory tree to an understory shrub by the invasive chestnut blight fungus (Cryphonectria parasitica [Murrill] M.E. Barr) during the early 20^th century. However, relatively little is known about the habitat of this species or its health and reproductive capability post chestnut blight. Chapter one of this study analyzed the habitat of this species through a random forest species distribution model (SDM) to predict where …

Monitoring Time Domain Characteristics Of Parkinson's Disease Using 3d Memristive Neuromorphic System, Md Abu Bakr Siddique, Yan Zhang, Hongyu An

Michigan Tech Publications, Part 2

INTRODUCTION: Parkinson's disease (PD) is a neurodegenerative disorder affecting millions of patients. Closed-Loop Deep Brain Stimulation (CL-DBS) is a therapy that can alleviate the symptoms of PD. The CL-DBS system consists of an electrode sending electrical stimulation signals to a specific region of the brain and a battery-powered stimulator implanted in the chest. The electrical stimuli in CL-DBS systems need to be adjusted in real-time in accordance with the state of PD symptoms. Therefore, fast and precise monitoring of PD symptoms is a critical function for CL-DBS systems. However, the current CL-DBS techniques suffer from high computational demands for real-time …

Salamander Modeling: Bridging The Gaps In Environmental Science Accessibility, Grace Leopold

Honors Program Theses and Projects

In the realm of science education, ensuring inclusivity and accessibility for all students, especially those with Individualized Education Programs (IEPs), is an imperative goal. IEPs are customized plans designed to support students with diverse learning needs, which can encompass a broad spectrum of disabilities and learning differences (Shaw, 2021). Providing learners with an IEP is an integral part of Special Education, however, there are a host of overarching challenges faced by students with IEPs in science education, especially in environmental science classes. In this thesis, the development and application of clay salamander models are evaluated for their potential to provide …

Investigating The Soil Mycobiome Of American Ginseng, Rachel Amelia Rajsp

Electronic Thesis and Dissertation Repository

American ginseng (Panax quinquefolius L.) is a perennial herbaceous plant cultivated for its medicinal properties. Growers report that when ginseng is replanted in a field previously used to cultivate ginseng, it soon succumbs to disease, known as ginseng replant disease. I examined changes in composition in the ginseng mycobiome throughout cultivation in a newly planted garden and beyond (i.e., 3–14 years post-harvest) with a third-generation metabarcoding approach (Pacific Biosciences, single-molecule real-time sequencing). Amplicons of about 600 nucleotides from the nuclear ribosomal internal transcribed spacer (ITS) region and translation elongation factor 1-α gene were chosen to help discriminate between closely …

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.

Investigating Telomere Lengths In Chestnut-Crowned Babblers, Gabriella Rose Beberg

Honors Thesis

Telomeres are chromosomal elements that protect and maintain genes as DNA replicates in many organisms. As individuals age and DNA replicates, telomeres often shorten; thus, telomere length often corresponds with an individual’s lifespan, and early-life decreases in telomere length can be predictive of longevity. Here, I investigated the relationship between telomere length and developmental environment in a cooperatively breeding species, the chestnut-crowned babbler (Pomatostomus ruficeps; CCB). Cooperative species are unique, as some individuals give up their own breeding opportunities to help rear the offspring of others; further, cooperative breeding systems generate considerably more variation in adult carers, which …

Acid Attack: How Escherichia Coli Strains Resist Acid Stress, Lindsey Miller

Honors Theses

The systems used by Escherichia coli to combat heightened levels of acidity within their environment are varied and complex. Four distinct systems used by E. coli to resist acid-induced stress were identified in 2004 by Foster (1), though six now are known today. These systems include the glucose-repressed, glutamate-dependent, arginine-dependent, lysine-dependent, ornithine-dependent, and serine-dependent acid resistance systems. Each system is also known by its corresponding abbreviation, AR1-AR6. What is known about each system varies due to identification date, complexity of the pathway, and amount of research completed. Within this paper, each system will be identified and the pathway defined, combining …

The Potential Of Endophytic Bacteria As The Biocontrol Agents Of Fusarium Proliferatum, Rima Ernia, Nisa Rachmania Mubarik, Lisdar Idwan Sudirman

Makara Journal of Science

Fusarium proliferatum decreases the productivity of shallot (Allium cepa L.). Endophytic bacteria are potential biocontrol agents in controlling the growth of F. proliferatum. This study aimed to select and characterize endophytic bacteria producing bioactive compounds that inhibit the growth of F. proliferatum. The endophytic bacteria used were isolated from the roots, stems, leaves, and soil of shallot plants from healthy and diseased shallot farming fields. The endophytic bacteria were selected using the dual culture method and extracted using ethyl acetate solvent. The results of the 16S rRNA identification suggested that isolate ABP5.2 is similar to Pseudomonas …

Oliver Agee Catfish Neurocranium, Charlotte R. Oliver, Kristina Agee, David Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

Neurocranium from 10.7 cm total length, [Catfish], collected by [Kerstetter].

Catfish Neurocranium 3-D Scan, Pamela Gonzalez, Jarod Johnson, David Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.