Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Wright State University (119)
- Himmelfarb Health Sciences Library, The George Washington University (26)
- The Texas Medical Center Library (11)
- Illinois State University (8)
- City University of New York (CUNY) (4)
-
- Thomas Jefferson University (4)
- Virginia Commonwealth University (4)
- Montclair State University (3)
- Providence (3)
- University of Connecticut (3)
- University of New Mexico (3)
- Clemson University (2)
- Colby College (2)
- College of Saint Benedict and Saint John's University (2)
- Linfield University (2)
- Nova Southeastern University (2)
- University of Arkansas, Fayetteville (2)
- University of Kentucky (2)
- University of Louisville (2)
- American University in Cairo (1)
- California Polytechnic State University, San Luis Obispo (1)
- Case Western Reserve University (1)
- Claremont Colleges (1)
- Dartmouth College (1)
- DePaul University (1)
- Fordham University (1)
- Liberty University (1)
- Marshall University (1)
- Old Dominion University (1)
- Rochester Regional Health (1)
- Keyword
-
- Systems biology (7)
- Genomics (6)
- Humans (6)
- Cancer (4)
- Computational biology (4)
-
- Animals (3)
- Bioinformatics (3)
- Female (3)
- Gene expression (3)
- Machine learning (3)
- Metabolomics (3)
- Network analysis (3)
- Precision medicine (3)
- Algae (2)
- Asthma (2)
- Big brown bat (2)
- Biology (2)
- CRISPR (2)
- Caenorhabditis (2)
- Chromatoid Bodies (2)
- Computational modeling (2)
- Diet (2)
- Disease Models, Animal (2)
- Emerging infectious disease (2)
- Evolution (2)
- Functional genomics (2)
- Gene Expression Profiling (2)
- Genetics (2)
- Inflammation (2)
- Lakes (2)
- Publication Year
- Publication
-
- Biological Sciences Faculty Publications (119)
- Genomics and Precision Medicine Faculty Publications (24)
- Dissertations and Theses (Open Access) (11)
- Annual Symposium on Biomathematics and Ecology Education and Research (8)
- Theses and Dissertations (4)
-
- Articles, Abstracts, and Reports (3)
- Biomedical Sciences ETDs (3)
- Department of Pathology, Anatomy, and Cell Biology Faculty Papers (3)
- Dissertations, Theses, and Capstone Projects (3)
- Honors Scholar Theses (3)
- All Dissertations (2)
- Electronic Theses and Dissertations (2)
- Mako: NSU Undergraduate Student Journal (2)
- Post-Grant Reports (2)
- Advanced Science Research Center (1)
- Advances in Clinical Medical Research and Healthcare Delivery (1)
- Annual Research Symposium (1)
- Biological Sciences Undergraduate Honors Theses (1)
- Biology and Medicine Through Mathematics Conference (1)
- Biostatistics Faculty Publications (1)
- Chemistry Student Work (1)
- Colby College Watershed Study: Great Pond (2012, 2010, 1998) (1)
- Colby College Watershed Study: Pattee Pond (2008, 1992) (1)
- Conference Proceedings (1)
- Dartmouth College Ph.D Dissertations (1)
- DePaul Discoveries (1)
- Department of Biochemistry and Molecular Biology Faculty Papers (1)
- Department of Biology Faculty Scholarship and Creative Works (1)
- Department of Justice Studies Faculty Scholarship and Creative Works (1)
- Electrical & Computer Engineering Faculty Publications (1)
- Publication Type
Articles 1 - 30 of 224
Full-Text Articles in Systems Biology
Ai×Life 2026: Advances In Computational Biology Across Scales For Life & Health Sciences, Suma Mohan S., Devika N. T., Pranavathiyani G.
Ai×Life 2026: Advances In Computational Biology Across Scales For Life & Health Sciences, Suma Mohan S., Devika N. T., Pranavathiyani G.
Conference Proceedings
Book of Abstracts of the International Conference, AIxLife 2026: Advances in Computational Biology Across Scales for Life & Health Sciences, held on 17–18 April 2026, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, INDIA
About the Conference
Conventional computational biology laid the foundation for biological data analysis through statistical models, algorithms, and curated databases, enabling insights into genes, proteins, and pathways. Today, the integration of artificial intelligence, spanning machine learning, deep learning, and large language models (LLMs) is driving a transformative shift across biological scales, from atomic and molecular interactions to pathways, cellular systems, organisms, and populations.
AI-powered approaches …
Differing Circulating Microrna Profiles Of Long-Lived Polish Populations, Fabrizzio Lijeron-Herrera
Differing Circulating Microrna Profiles Of Long-Lived Polish Populations, Fabrizzio Lijeron-Herrera
Honors Undergraduate Theses
Exceptional longevity, defined as a lower biological age relative to chronological age and maintenance of functional capacity or a slowing of functional decline, is a phenotype most readily observed in centenarians and nonagenarians. These individuals exhibit a phenomenon known as compressed morbidity, spending substantially less time in poor health compared to younger elderly populations, thus representing a unique human model of delayed aging. Circulating microRNAs (miRNAs), potent post-transcriptional regulators of molecular pathways, have emerged as important modulators of aging-related pathways; however, no study has comprehensively profiled miRNAs from serum in long-lived individuals from Central Europe. In particular, Polish populations present …
The Science Of Sound: Studying The Cognitive, Emotional, And Physiological Effects Of Frequency, Genre, And Music, Jett Yarborough
The Science Of Sound: Studying The Cognitive, Emotional, And Physiological Effects Of Frequency, Genre, And Music, Jett Yarborough
Senior Honors Theses
Music influences emotion, physiology, and cognition, yet little is known about how the frequency it is tuned to affects these influences. Prior research has shown that music tuned to 432 Hz can reduce stress, lower blood pressure, and improve sleep. My colleagues and I conducted two studies to investigate this. Our research found that music tuned to 432 Hz promotes a significant increase in memory retention and induces a state of focus and relaxation. These results suggest that shifting from the standard tuning frequency of 440 Hz to 432 Hz could have a profoundly positive impact on our daily lives. …
Ai-Powered Multi-Omics Integration For Predictive Modeling Of Genotype-Environment-Phenotype Relationships, You Wu
Dissertations, Theses, and Capstone Projects
This dissertation presents a series of machine learning frameworks for modeling genotype–environment–phenotype relationships through integrative predictive modeling of multi-omics data. The work addresses three major axes of biological complexity: modeling biological information transmission cross-levels from genes to proteins to phenotypes, predicting molecular features cross-scale from cells to tissues to organisms, and translating phenotypes cross-species from model systems to humans. Each proposed method also tackles key machine learning (ML) challenges in the biomedical domain, including data scarcity, domain shift, out-of-distribution (OOD) generalization, and hierarchical modeling. Specifically, this dissertation introduces five novel deep learning algorithms: MultiDCP predicts drug-induced transcriptomic and viability responses …
Enhancing Cataract Surgery Outcomes: Optimal Use Of Pre- And Post-Operative Eye Drops, Keith Skolnick M.D., Anu Valiaveedu
Enhancing Cataract Surgery Outcomes: Optimal Use Of Pre- And Post-Operative Eye Drops, Keith Skolnick M.D., Anu Valiaveedu
Mako: NSU Undergraduate Student Journal
Many preoperative and postoperative cataract patients struggle with comprehending the use of prescription medication as directed. Language barriers and low health literacy levels are major factors contributing to improper use of prescriptions. To increase patients comprehension, the Fort Lauderdale Eye Institute employed an educational intervention consisting of a live presentation and an instructional video. Results found that 44% of patients were hesitant to ask questions to clinical staff, 32% felt overwhelmed, and nearly 70% lacked confidence in using their prescribed eye drops. Following the intervention, 91% of patients reported increased confidence in their medications, and most indicated that the video …
Identifying Novel Molecular Targets To Induce Ferroptosis In Drug-Tolerant Cancer Cells Through Computational Modeling, Haris J. Rana
Identifying Novel Molecular Targets To Induce Ferroptosis In Drug-Tolerant Cancer Cells Through Computational Modeling, Haris J. Rana
Biological Sciences Undergraduate Honors Theses
Ferroptosis is an iron-dependent, reactive oxygen species (ROS)-driven form of regulated cell death in which the cell membrane is degraded by lipid peroxidation. It is regulated by multiple enzymes, such as glutathione peroxidase 4 (GPX4), which prevents membrane degradation by reducing lipid peroxides and protecting cells from oxidative damage. When inhibitors like RSL3 target GPX4, lipid peroxides build up, and toxic ROS compromises membrane integrity. Traditional anticancer treatments, such as most chemotherapies, aim to eliminate tumor cells by damaging DNA and triggering apoptosis. However, resistance to apoptosis is a “hallmark of cancer,” often resulting in treatment failure. As a distinct …
Hierarchical Lineage Tracing To Unravel Mechanisms Of Cancer Treatment Resistance, Rachel Danielle Saxe
Hierarchical Lineage Tracing To Unravel Mechanisms Of Cancer Treatment Resistance, Rachel Danielle Saxe
Dartmouth College Ph.D Dissertations
Cancer cells adapt to treatment, leading to the emergence of clones that are more aggressive and resistant to anti-cancer therapies. We have a limited understanding of the development of treatment resistance as we lack technologies to map the evolution of cancer under the selective pressure of treatment. To address this, we developed a hierarchical, dynamic lineage tracing method called FLARE (Following Lineage Adaptation and Resistance Evolution). We use this technique to track the progression of acute myeloid leukemia (AML) cell lines through exposure to Cytarabine (AraC), a front-line treatment in AML, in vitro and in vivo. We map distinct cellular …
Trpv1 And Its Co‑Expressed Genes Are Associated With The Progression Of Hepatocellular Carcinoma, Bhuvnesh P. Sharma, Himanshu N. Singh, Sanjay Kumar, Deepak Verma, Deepak Parashar, Murali M. Yallapu, Everardo Cobos, Subhash C. Chauhan, Vivek K. Kashyap
Trpv1 And Its Co‑Expressed Genes Are Associated With The Progression Of Hepatocellular Carcinoma, Bhuvnesh P. Sharma, Himanshu N. Singh, Sanjay Kumar, Deepak Verma, Deepak Parashar, Murali M. Yallapu, Everardo Cobos, Subhash C. Chauhan, Vivek K. Kashyap
Research Symposium
Background: Hepatocellular carcinoma (HCC) is the most common type of liver cancer. Transient receptor potential vanilloid 1 (TRPV1) is a nonselective Ca2+ channel protein widely expressed and plays a significant role in cancer initiation and progression. However, the biological significance of TRPV1 in HCC has not been systematically and comprehensively investigated. This study used deep data mining and transcriptomics analyses to describe the significance of TRPV1 expression and its association with HCC prognosis.
Methods: Download the RNA expression of TRPV1 from the Cancer Genome Atlas (TCGA), Genotype Tissue Expression Atlas (GTEx), Tumor Immune Estimation Resource (TIMER), and the UALCAN …
The Correlation Between Temporomandibular Disorder (Tmd) And Vitamin D Deficiency, Iris Kim, Claudia Freitas
The Correlation Between Temporomandibular Disorder (Tmd) And Vitamin D Deficiency, Iris Kim, Claudia Freitas
Annual Research Symposium
No abstract provided.
Identification Of Novel Genetic Biomarkers Linked To The Prodromal Stage Of Parkinson’S Disease (Pd) Patients, Marwa Tawfik Badawy
Identification Of Novel Genetic Biomarkers Linked To The Prodromal Stage Of Parkinson’S Disease (Pd) Patients, Marwa Tawfik Badawy
Theses and Dissertations
Background and Objective: The early diagnosis of neurodegenerative diseases, such as Parkinson's disease (PD), is particularly challenging because symptoms appear only after significant neuronal damage has already occurred. This study is utilizing variant call format (VCF) analysis to identify genetic variants and novel genes that could serve as early prognostic markers for prodromal PD. Materials and Methods: Data were sourced from the Parkinson's Progression Markers Initiative (PPMI), focusing on prodromal patients with gVCF data from the 2021 cohort. The study included 304 participants, comprising 100 healthy controls, 146 individuals with prodromal genetic indicators, 21 individuals with prodromal hyposmia, and 37 …
Genome-Wide Profiling Of Trna Modifications By Induro-Trnaseq Reveals Coordinated Changes, Yuko Nakano, Howard Gamper, Henri Mcguigan, Sunita Maharjan, Jiatong Li, Zhiyi Sun, Erbay Yigit, Sebastian Grünberg, Keerthana Krishnan, Nan-Sheng Li, Joseph Piccirilli, Ralph Kleiner, Nicole Nichols, Brian Gregory, Ya-Ming Hou
Genome-Wide Profiling Of Trna Modifications By Induro-Trnaseq Reveals Coordinated Changes, Yuko Nakano, Howard Gamper, Henri Mcguigan, Sunita Maharjan, Jiatong Li, Zhiyi Sun, Erbay Yigit, Sebastian Grünberg, Keerthana Krishnan, Nan-Sheng Li, Joseph Piccirilli, Ralph Kleiner, Nicole Nichols, Brian Gregory, Ya-Ming Hou
Department of Biochemistry and Molecular Biology Faculty Papers
While all native tRNAs undergo extensive post-transcriptional modifications as a mechanism to regulate gene expression, mapping these modifications remains challenging. The critical barrier is the difficulty of readthrough of modifications by reverse transcriptases (RTs). Here we use Induro-a new group-II intron-encoded RT-to map and quantify genome-wide tRNA modifications in Induro-tRNAseq. We show that Induro progressively increases readthrough over time by selectively overcoming RT stops without altering the misincorporation frequency. In a parallel analysis of Induro vs. a related RT, we provide comparative datasets to facilitate the prediction of each modification. We assess tRNA modifications across five human cell lines and …
Leveraging Quantitative Systems Pharmacology For Dose Optimization In Oncology Drug Development, Blerta Shtylla
Leveraging Quantitative Systems Pharmacology For Dose Optimization In Oncology Drug Development, Blerta Shtylla
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Study Of Different Treatment Strategies In Epidemic Models Using Nonlinear Model Predictive Control, Hector Puebla, Luis A. Ricardez-Sandoval, Priti Kumar Roy
Study Of Different Treatment Strategies In Epidemic Models Using Nonlinear Model Predictive Control, Hector Puebla, Luis A. Ricardez-Sandoval, Priti Kumar Roy
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Interpretable Mechanistic And Machine Learning Models For Pre-Dicting Cardiac Remodeling From Biochemical And Biomechanical Features, Anamul Haque
All Dissertations
Biochemical and biomechanical signals drive cardiac remodeling, resulting in altered heart physiology and the precursor for several cardiac diseases, the leading cause of death for most racial groups in the USA. Reversing cardiac remodeling requires medication and device-assisted treatment such as Cardiac Resynchronization Therapy (CRT), but current interventions produce highly variable responses from patient to patient. Mechanistic modeling and Machine learning (ML) approaches have the functionality to aid diagnosis and therapy selection using various input features. Moreover, 'Interpretable' machine learning methods have helped make machine learning models fairer and more suited for clinical application. The overarching objective of this doctoral …
The Persistence Of Blue Ash In The Aftermath Of Emerald Ash Borer May Be Due To Adult Oviposition Preferences And Reduced Larval Performance, Don Cipollini, Emily Morton
The Persistence Of Blue Ash In The Aftermath Of Emerald Ash Borer May Be Due To Adult Oviposition Preferences And Reduced Larval Performance, Don Cipollini, Emily Morton
Biological Sciences Faculty Publications
- We examined the health of mature blue ash, Fraxinus quadrangulata, in two forests in southwestern Ohio in relation to that of mature white ash, F. americana, and examined the potential importance of oviposition preferences and larval resistance in the persistence of blue ash.
- Both blue ash and white ash were largely unaffected by emerald ash borer in 2012. By 2018, nearly 90% of the blue ash trees observed in these forests had full or nearly full canopies, as opposed to less than 20% of the white ash encountered in our studies. In 2021, blue ash maintained a …
Homeostatic Synaptic Plasticity Of Miniature Excitatory Postsynaptic Currents In Mouse Cortical Cultures Requires Neuronal Rab3a, Andrew G. Koesters, Mark M. Rich, Kathrin L. Engisch
Homeostatic Synaptic Plasticity Of Miniature Excitatory Postsynaptic Currents In Mouse Cortical Cultures Requires Neuronal Rab3a, Andrew G. Koesters, Mark M. Rich, Kathrin L. Engisch
Biological Sciences Faculty Publications
Following prolonged activity blockade, amplitudes of miniature excitatory postsynaptic currents (mEPSCs) increase, a form of homeostatic plasticity termed “synaptic scaling.” We previously showed that a presynaptic protein, the small GTPase Rab3A, is required for full expression of the increase in miniature endplate current amplitudes following prolonged blockade of action potential activity at the mouse neuromuscular junction in vivo (Wang et al., 2011), but it is unknown whether this form of Rab3A-dependent homeostatic plasticity shares any characteristics with central synapses. We show here that synaptic scaling of mEPSCs is impaired in mouse cortical neuron cultures prepared from Rab3A-/- and Rab3A Earlybird …
An Evolutionary Pathway For Coping With Emerging Infectious Disease, Scott Lyell Gardner, Daniel R. Brooks, Walter A. Boeger, Eric P. Hoberg
An Evolutionary Pathway For Coping With Emerging Infectious Disease, Scott Lyell Gardner, Daniel R. Brooks, Walter A. Boeger, Eric P. Hoberg
Zea E-Books Collection
Emerging infectious disease (EID) represents an existential threat to humanity. EIDs are increasing in frequency and impact because of climate change and other human activities. We are losing the battle against EIDs because of improper assessment of the risk of EID. This stems from adherence to a failed paradigm of pathogen-host associations that suggests EIDs ought to be both unpredictable and rare. That, in turn, leads to policies suggesting that crisis response is the best we can do. Real-time and phylogenetic assessments show EIDs to be neither rare nor unpredictable—this is the parasite paradox that shows the failures of the …
Attenuated Typicality Effect In Category-Based Inferences: Implications For Autism Spectrum Disorder, Janani Rajagopalan
Attenuated Typicality Effect In Category-Based Inferences: Implications For Autism Spectrum Disorder, Janani Rajagopalan
Dissertations, Theses, and Capstone Projects
Individuals diagnosed with Autism Spectrum Disorder (ASD) often encounter challenges in assimilating atypical exemplars into their categorical prototypes, a cognitive hurdle that can impact their interpretative and integrative capacities. Addressing this problem, the present research sought to develop a robust methodological approach to reduce the effect of this disparity. We examined the elements embedded within the category's internal structure, with the intention of experimentally attenuating the pronounced typicality effect, which is often exaggerated in ASD.
Across four experiments, the thesis investigated the cognitive and neural underpinnings that shape the access to the typicality gradient intrinsic to a category's structure. The …
Long-Term Spring Through Fall Capture Data Of Eptesicus Fuscus In The Eastern Usa Before And After White-Nose Syndrome, Molly Simonis, Lynn K. Hartzler, Joshua Campbell, Timothy C. Carter, Lisa Noelle Cooper, Katelin Cross, Katherine Etchison, Traci, R. Andrew King, Richard J. Reynolds, Yasmeen Samar, Michael Yasmeen, Sarah Stankavich, Gregory G. Turner, Megan A. Rúa
Long-Term Spring Through Fall Capture Data Of Eptesicus Fuscus In The Eastern Usa Before And After White-Nose Syndrome, Molly Simonis, Lynn K. Hartzler, Joshua Campbell, Timothy C. Carter, Lisa Noelle Cooper, Katelin Cross, Katherine Etchison, Traci, R. Andrew King, Richard J. Reynolds, Yasmeen Samar, Michael Yasmeen, Sarah Stankavich, Gregory G. Turner, Megan A. Rúa
Biological Sciences Faculty Publications
Emerging infectious diseases threaten wildlife populations. Without well monitored wildlife systems, it is challenging to determine accurate population and ecosystem losses following disease emergence. North American temperate bats present a unique opportunity for studying the broad impacts of wildlife disease emergence, as their federal monitoring programs were prioritized in the USA throughout the 20 th century and they are currently threatened by the invasive fungal pathogen, Pseudogymnoascus destructans ( Pd ), which causes white-nose syndrome. Here we provide a long-term dataset for capture records of Eptesicus fuscus (big brown bat) across the eastern USA, spanning 16 years before and 14 …
Gabaergic Synaptic Scaling Is Triggered By Changes In Spiking Activity Rather Than Transmitter Receptor Activation, Carlos Gonzalez-Islas, Zahraa Sabra, Ming-Fai Fong, Pernille Bülow, Nicholas Au Yong, Kathrin Engisch, Peter Wenner
Gabaergic Synaptic Scaling Is Triggered By Changes In Spiking Activity Rather Than Transmitter Receptor Activation, Carlos Gonzalez-Islas, Zahraa Sabra, Ming-Fai Fong, Pernille Bülow, Nicholas Au Yong, Kathrin Engisch, Peter Wenner
Biological Sciences Faculty Publications
Homeostatic plasticity represents a set of mechanisms that are thought to recover some aspect of neural function. One such mechanism called AMPAergic scaling was thought to be a likely candidate to homeostatically control spiking activity. However, recent findings have forced us to reconsider this idea as several studies suggest AMPAergic scaling is not directly triggered by changes in spiking. Moreover, studies examining homeostatic perturbations in vivo have suggested that GABAergic synapses may be more critical in terms of spiking homeostasis. Here we show results that GABAergic scaling can act to homeostatically control spiking levels. We find that increased or decreased …
Novel Natural Compounds Derived From Tcm In The Treatment Of Food Induced Anaphylaxis, Ibrahim Musa
Novel Natural Compounds Derived From Tcm In The Treatment Of Food Induced Anaphylaxis, Ibrahim Musa
NYMC Student Theses and Dissertations
Food allergy is a highly prevalent disease affecting about 30 million people in the U.S. It is managed primarily by food avoidance due to lack of promising treatment options. ASHMI (anti-asthma herbal intervention) which consists of three components, Sophorae flavescentis, Ganoderma lucidum, Glycyrrhiza uralensis has been shown to inhibit allergic lung inflammation in antigen sensitized and challenged mice. In this study we isolate and identify the active compound in Sophorae flavescentis, characterized the mechanism of IgE inhibitory effect, biomarkers and potential to prevent food anaphylaxis.
To separate and identify the compounds we used column chromatography, high-performance liquid chromatography, mass …
Ethical Considerations Of Clinical Research In Emergency Care Settings: A Review, Adith Velavan
Ethical Considerations Of Clinical Research In Emergency Care Settings: A Review, Adith Velavan
Honors Scholar Theses
Emergency and acute care settings are some of the most volatile and high intensity areas of any healthcare operation. Better understanding of systems and treatments in these spaces are critical to improving outcomes for the high risk patients that are treated there. Clinical research serves as a cornerstone of modern medical research, and is critical to the further improvement of clinical care in these settings. This thesis serves to explore the ethicality of such research given the constraints of emergency medicine settings. Not only does this thesis provide a strong foundation regarding the history and current practices of clinical research, …
Gene Expression–Based Algorithms For The Identification Of Drug Combinations In Personalized Medicine, Lon Fong
Dissertations and Theses (Open Access)
Three of the major problems facing cancer therapeutics are 1) drug resistance, the intrinsic or acquired ability of cancer cells to evade the effect of the therapies used to treat them; 2) heterogeneity among individual patients’ disease at the molecular level and the resulting variability in therapeutic response; and 3) the limitations of genomics biomarkers in matching patients to the most effective therapy. One possible solution to drug resistance is the use of combination therapies rather than monotherapies. Use of multiple drugs, each with a different mechanism of action, lowers the chances that the cancer cells will develop or have …
Developmental Exposure To Corn Grown On Lake Erie Dredged Material: A Preliminary Analysis, Kaylyn A. S. Flanigan, Madelyn I. Czuba, Victoria R. Riesgo, Megan A. Rúa, Louise M. Stevenson, Jari Willing
Developmental Exposure To Corn Grown On Lake Erie Dredged Material: A Preliminary Analysis, Kaylyn A. S. Flanigan, Madelyn I. Czuba, Victoria R. Riesgo, Megan A. Rúa, Louise M. Stevenson, Jari Willing
Biological Sciences Faculty Publications
While corn is considered to be a healthy food option, common agricultural practices, such as the application of soil amendments, might be introducing contaminants of concern (COC) into corn plants. The use of dredged material, which contain contaminants such as heavy metals, polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs), as a soil amendment is increasing. Contaminants from these amendments can accumulate in corn kernels harvested from plants grown on these sediments and potentially biomagnify in organisms that consume them. The extent to which secondary exposure to such contaminants in corn affect the mammalian central nervous system has been virtually …
The Impact Of Study Strategies On Knowledge Growth And Summative Exam Performance In The First Year Of Medical School, Markia Black, William L. Romine, Molly Simonis, Jeffrey L. Peters, Volker Bahn, Amber Todd
The Impact Of Study Strategies On Knowledge Growth And Summative Exam Performance In The First Year Of Medical School, Markia Black, William L. Romine, Molly Simonis, Jeffrey L. Peters, Volker Bahn, Amber Todd
Biological Sciences Faculty Publications
Although the distinction between deep and surface processing strategies, their potential to differentially impact learning, and data supporting the superiority of deep processing strategies on summative exam scores are well supported by the literature, more work is needed to understand: (1) how medical students combine study strategies into learning practices, and (2) the effectiveness of these learning practices in facilitating knowledge gains as measured by standardized test scores.
Linking Science And Literacy Through Multimodal Text Sets: Student Perspectives, Heba Abdelnaby, William L. Romine, Delinda Van Garderen, Tracey Milarsky, Ankita Agarwal, Qingli Lei, Cassandra Smith, Amy Lannin, William Folk, Rachel Juergensen
Linking Science And Literacy Through Multimodal Text Sets: Student Perspectives, Heba Abdelnaby, William L. Romine, Delinda Van Garderen, Tracey Milarsky, Ankita Agarwal, Qingli Lei, Cassandra Smith, Amy Lannin, William Folk, Rachel Juergensen
Biological Sciences Faculty Publications
We present findings of a mixed methods study examining the perceptions of students’ (with and without disabilities) understanding and engagement with multimodal STEM text sets. Exit slip and survey data were used to identify areas for improvement in the development of the multimodal STEM text sets for middle school students. Data were collected from 434 middle school students, 86 of whom had a disability, from six teachers’ classrooms in Spring 2021. Significant differences in perceptions of understanding of argumentation were reported between students with and without disabilities. However, ratings of the lessons and the quality of learning, as well as …
Measuring Claim-Evidence-Reasoning Using Scenario-Based Assessments Grounded In Real-World Issues, William L. Romine, Amy Lannin, Ankita Agarwal, Maha Kareem, Emily Burwell
Measuring Claim-Evidence-Reasoning Using Scenario-Based Assessments Grounded In Real-World Issues, William L. Romine, Amy Lannin, Ankita Agarwal, Maha Kareem, Emily Burwell
Biological Sciences Faculty Publications
Improving students’ use of argumentation is front and center in the increasing emphasis on scientific practice in K-12 Science and STEM programs. We explore the construct validity of scenario-based assessments of claim-evidence-reasoning (CER) and the structure of the CER construct with respect to a learning progression framework. We also seek to understand how middle school students progress. Establishing the purpose of an argument is a competency that a majority of middle school students meet, whereas quantitative reasoning is the most difficult, and the Rasch model indicates that the competencies form a unidimensional hierarchy of skills. We also find no evidence …
Dredged Sediments Contain Potentially Beneficial Microorganisms For Agriculture And Little Harmful Cyanobacteria, Megan A. Rúa, Ashley N. Julian, Louise Stevenson
Dredged Sediments Contain Potentially Beneficial Microorganisms For Agriculture And Little Harmful Cyanobacteria, Megan A. Rúa, Ashley N. Julian, Louise Stevenson
Biological Sciences Faculty Publications
Abstract Introduction Soils worldwide are degrading, raising concerns about our ability to feed the growing global population. Soil amendments that can alleviate degradation are gaining attention. The application of sediments dredged from waterways to agricultural fields has increasing promise as a means for improving degraded soils. However, herbaceous plant species may have difficulty establishing on dredged material because of low nutrient availability, inhibitory levels of toxins, unsuitable moisture conditions and lack of microorganisms capable of ameliorating these characteristics. To counteract these issues, we sought to understand if the use of a cover crop would increase the abundance, diversity and function …
Getting To The Root Of Tree Soil Microbiome Sampling, Sarah Addison, Megan A. Rua, Simeon Smaill, Kaitlyn Daley, Brajesh Singh, Steve Wakelin
Getting To The Root Of Tree Soil Microbiome Sampling, Sarah Addison, Megan A. Rua, Simeon Smaill, Kaitlyn Daley, Brajesh Singh, Steve Wakelin
Biological Sciences Faculty Publications
Microbiomes play critical roles in host functioning and therefore there is increasing interest in the microbiome assembly of plants. However, sampling strategies for long-lived perennial trees need to be standardised to produce robust data that accurately represents the microbiome over time. This issue is currently unresolved because there is little evidence indicating which portion of perennial tree species (e.g., root region or surrounding soil) is the best to sample to produce the most accurate measure of microbiome communities. Our aim was to sample different compartments of a plant’s belowground microbiome to identify the optimal sampling strategy to account for the …
Modeling And Analysis Of The Intrinsic Cardiac Nervous System In Closed-Loop Cardiovascular Control, Michelle M. Gee, Abraham M. Lenhoff, James S. Schwaber, Babatunde A. Ogunnaike, Rajanikanth Vadigepalli
Modeling And Analysis Of The Intrinsic Cardiac Nervous System In Closed-Loop Cardiovascular Control, Michelle M. Gee, Abraham M. Lenhoff, James S. Schwaber, Babatunde A. Ogunnaike, Rajanikanth Vadigepalli
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
The baroreceptor reflex is a multi-input, multi-output physiological control system that regulates short-term blood pressure by modulating nerve activity between the brainstem and the heart. The computational model by Park et al. (2020) is the most recent iteration in our exploration of the system. However, the contributions of”the little brain of the heart”, the intrinsic cardiac nervous system (ICN), to local control of the heart and to the integration of sensory information is unknown and has been overlooked in previous models. We have incorporated a high-fidelity representation of the ICN into a model of the baroreceptor reflex based on anatomical, …