Digital Commons Network^™

Developing Eastern Gamagrass On A Conserved Forage, John A. Dickerson, Paul R. Salon

IGC Proceedings (1977-2023)

Bastern gamagrass (Tripsacum dactyloides L.) is highly regarded as a native forage resource in the prairie region of North America. Recent discovery of a gynomonoecious plant in Kansas has raised expectations that efficient seed production will be possible with the species. A possible use for eastern gamagrass is as a perennial haylage crop for dairy farms, replacing erosion-prone silage corn. Compared with corn silage, eastern gamagrass forage has higher crude protein, slightly lower energy, and higher neutral detergent fibre and acid detergent fibre. Breeding work is underway to develop hardy, high volume forage-producing strains with good seed production capability. …

Rangelands In Dry Mountain Areas, T Boyadgiev

IGC Proceedings (1977-2023)

The extent and characteristics of temperate and mountainous climatic zones, steeply dissected and mountainous areas, permanent meadows and pasture lands, and the trend of land use evolution and aspects of land degradation are presented and discussed. The rangelands improvement strategy in Bulgaria is based on mineral fertilisation of mountainous grasslands leading to an increase in production of dry material, protein, phosphorus and cereals, This reduces sheet erosion. Overgrazing and prolonged dry periods, causing a decrease in the number of species, are also discussed, Measures to improve grassland practices are proposed.

Improvement Strategies In Winter Cold Temperate Rangeland Ecosystems With Particular Reference To Extensive Grazing Lands Of Iran, A Koocheki

IGC Proceedings (1977-2023)

Traditional land use systems in Iran have been divided between crop production and livestock grazing. Grazing land management in most parts is based on pastoral nomadism which operates between plains as winter grazing lands and mountains as summer grazing lands. Mountainous areas are an important source of food and feed production for nomads and their herds. In Iran two main ranges of mountains, Elburz and Zagros, are the summer territory of nomadic pastoralists. At present 1.5% of total population of the country are nomads. They contribute as much as 27% of value added in the animal industry of the country. …

Winter Cold Temperate Rangelands: Improvement Strategies For Intensive Rangeland Ecosystems, B E. Allan, D Scott

IGC Proceedings (1977-2023)

Transfer of developed grassland technologies to rangelands is discussed in terms of environmental gradients and the options and constraints they impose. Winier feed limitation can be overcome through conserved feeds and various in situ systems involving special purpose pastures and feed banks. General animal nutrition can be improved through intensive development, low input systems, better control of range utilisation and, where appropriate, correction of mineral deficiencies. The emphasis in seeking quick and easy solutions to rangeland management problems is questioned, A more informed, environmentally sound and sustainable approach to rangeland fanning atlitudes and management is proposed. A stepwise process to …

Editorial: Leveraging Multi-Omics Approaches To Understand And Manage Gastrointestinal And Hepatic Diseases, Isis Trujillo-Gonzalez, Paul G. Thomes, Isin Tuna Sakallioglu, Kusum K. Kharbanda

Department of Chemistry: Faculty Publications

The Research Topic “Leveraging multi-omics approaches to understand and manage gastrointestinal and hepatic diseases” proposed by the Frontiers in Pharmacology has attracted a total of four articles on preclinical studies that were covered in three original research manuscripts and one review article. Two research articles were on metabolic dysfunction-associated steatotic liver disease (MASLD), previously named non-alcoholic fatty liver disease (NAFLD), which is now recognized as a predominant cause of chronic liver disease worldwide, affecting over 30% of the adult population (Teng et al., 2023; Miao et al., 2024). Current pharmacological treatments for MASLD are limited and, until a recent FDA-approved …

Video Label Refinement And Temporal Localization Using Motion Signal Patterns, Jennifer Piane

College of Computing and Digital Media Dissertations

Performing video analysis for activity recognition presents challenges beyond classification, including obtaining class labels and performing temporal localization. One such challenge is precisely labeling a video with class labels having the exact start and end frames of an activity - a difficult task for a human to perform. Moreover, the task of annotating a video at any level of precision can quickly become tedious, impacting the attentiveness of the annotator and resulting in class label errors. Temporally localizing an activity within a video presents a second challenge. This dissertation investigates novel signal and image processing methods for motion features extracted …

Analyzing And Extending Machine Learning Frameworks On High Risk Domains, Chengbin Hu

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) has become a transformative force in high-risk domains such as genomics and cybersecurity, where accurate predictions and robust defenses are essential. This dissertation advances ML frameworks in these areas by developing methods to enhance predictive power in health applications and assess vulnerabilities in machine learning systems.

In the genomics field, the work addresses challenges in Non-Invasive Prenatal Testing (NIPT) of monogenic disorders by proposing a deep learning model that reconstructs the fetal genome using maternal plasma cell-free DNA (cfDNA) and parental whole-genome sequencing (WGS) data. This model achieves high accuracy in single nucleotide variation (SNV) prediction, surpassing …

Exploring The Journey Of Stem Faculty Into Justice-Centered Pedagogy, Desiree Forsythe, Bryan Dewsbury, Jeremy L. Hsu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In higher education and science, technology, engineering, and mathematics (STEM), interlocking oppressions can lead to inequitable environments for those who hold marginalized identities. Instructors can play key roles in either exacerbating or mitigating these inequities through their pedagogical approaches and choice of curricular material. However, it remains unclear how instructors who self-identify as committed to justice achieve higher levels of consciousness around areas of injustice and develop the self-efficacy to dismantle barriers for students over time. Here, we draw upon critical race theory and critical white studies to investigate what events or life experiences influence STEM instructors to understand the …

The Unfairness Of Fair Machine Learning: Leveling Down And Strict Egalitarianism By Default, Brent Mittelstadt, Sandra Wachter, Chris Russell

Michigan Technology Law Review

In recent years, fairness in machine learning (ML), artificial intelligence (AI), and algorithmic decision-making systems has emerged as a highly active area of research and development. To date, most measures and methods to mitigate bias and improve fairness in algorithmic systems have been built in isolation from policymaking and civil societal contexts and lack serious engagement with philosophical, political, legal, and economic theories of equality and distributive justice. Many current measures define “fairness” in simple terms to mean narrowing gaps in performance or outcomes between demographic groups while preserving as much of the original system’s accuracy as possible. This oversimplified …

Engaging Students With Pocketlab Interactive Mobile Technology In A Science Classroom: A Mixed Methods Study, Olha Ketsman, Juan A. Colon Santana

Mid-Western Educational Researcher

This mixed methods study explored the impact of PocketLab interactive mobile sensors on science content knowledge among undergraduate students in an algebra-based physics laboratory course. The study also examined students' perspectives and experiences using PocketLab to learn class concepts. While no statistically significant differences were found between the control and treatment groups for items evaluating definitions and conceptual mastery, the control group outperformed the treatment group on problem-solving items. This difference may be due to the alignment of traditional Vernier technology experiments with the analytical problem-solving approach emphasized in lectures. Despite this, students using PocketLab reported greater flexibility and …

Scholar Perspectives On The Impact Of A Scientific Community Program For Neurodivergent Undergraduate Stem Scholars, Dylan Sullivan, Fernando Zavala, Derek Hidalgo, Jacob Stolle, Rebecca Matte, Christin B. Monroe

Journal of Science Education for Students with Disabilities

Despite the adaptive strengths and unique problem-solving skills demonstrated by neurodivergent (ND) individuals, they remain underrepresented in Science, Technology, Engineering and Mathematics (STEM) fields. High unemployment rates among individuals with disabilities emphasize the need for addressing barriers to entry and persistence in the workforce. This study introduces a program designed to enhance opportunities for neurodivergent STEM scholars with financial needs, supported by the National Science Foundation (NSF). The program involves: 1) a weekly cohort course to engage in professional development, 2) use of the Birkman Method® survey to help scholars identify and communicate strengths, fostering self-awareness and growth, and 3) …

The Effects Of Sunlight On The Decomposition Rate Of Opuntia Humifusa, Paul George, Elena Amonette, Celine W. Seder, Katherine Massaro

Science University Research Symposium (SURS)

Plant decomposition plays a critical role in community and ecosystem ecology by recycling minerals and returning nutrients to the soil. The rate of plant decomposition can be impacted by a multitude of factors including chemical composition of the plant, presence of decomposing microorganisms, temperature, and more. This study sought to quantify the effects of sunlight on plant decomposition. In this project, Opuntia humifusa (prickly pear) were placed outside on the Belmont greenroof to decompose in sunny and shaded environments. The plants were collected over a period of 12 weeks, and data on the masses of the decomposing plants was used …

How Leaf Size Affects Rate Of Leaf Litter Decomposition On A Greenroof, Douglass J. Lescher I, Makenzie T. Boylston, Faith A. Jackson, Leah Abraham, Darlene Panvini

Science University Research Symposium (SURS)

Leaf litter decomposition is an essential biological phenomenon that occurs within ecosystems, as it affects factors such as nutrient cycling, plant growth, soil fertility and other processes. Understanding the mechanisms that are attributed to leaf litter decomposition can help explain the role that leaf litter plays in ecosystems. A total of eight leaf litter bags were placed in environments of similar conditions on a green roof with the purpose of understanding how leaf size affects the rate of decomposition. The two species of variable size were coneflower (Echinacea tennesseensis, larger leaf) and baptisia (Baptisia australis, smaller …

Enhancing Chemotherapy: Synergistic Action Of Cisplatin And Berberine Hydrochloride Against Osteosarcoma, Adam S. Al-Droubi, Andrea Florian

Science University Research Symposium (SURS)

Osteosarcoma, the most common type of bone cancer, is notably aggressive and prone to a rapid rate of metastasis. When the tumor is localized; the survival rate is approximately 76% and can often be treated with surgery. However, once metastasis occurs, the survival rate drops to 24% and must be treated with chemotherapy. The standard treatment for metastatic osteosarcoma typically involves combination therapeutics, with cisplatin being a key component despite its severe side effects. Unfortunately, osteosarcoma exhibits a natural resistance to chemotherapy driven by the overexpression of drug efflux pumps, DNA repair mechanisms, and apoptosis avoidance mutations. To address these …

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.

Myc And Egr1 Expression In Colorectal Cancer Cells With An Oncogenic Mutation In Ctnnb1 And Normal P53, Sophia Vickers, Erick Spears, Phd

Science University Research Symposium (SURS)

Cancer is often initiated by genetic alterations that affect cellular proliferation, survival, and differentiation. Colorectal cancers are specifically initiated and driven by mutations affecting the Wnt signaling pathway and mutations in the CTNNB1 gene are the second most common of these mutations found in colorectal cancers. Among these, mutations in the CTNNB1 gene, encoding β-catenin, frequently lead to dysregulated Wnt signaling, a hallmark of colorectal cancer. The proto-oncogene MYC and the early growth response gene EGR1 are known to be critical downstream effectors of several oncogenic pathways. MYC is a known β-catenin target gene and under certain cellular contexts, EGR1 …

Teaching With Pedagogy And Empathy, Mamoona Muzammil, Muzammil Arshad, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Mental illness is common and can affect anyone. Each year the University welcomes students with Mental Health Issues. One in four adults in the US will experience a mental illness in their lifetime, however according to a NUS survey, eight out of ten students will experience a mental illness while in higher education. For some student’s mental illness can be a lifelong disability. Others can experience short term issues that emerge around difficult or stressful life events, while some students may be more at risk of experiencing mental illness in relation to their ethnicity, gender, sexuality or socio-economic background. Although …

Early Ctdna Kinetics As A Dynamic Biomarker Of Cancer Treatment Response, Aaron Li, Emil Lou, Kevin Leder, Jasmine Foo

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Kreig: Quantifying The Relationship Between Sars-Cov-2 Viral Load And Infectiousness, Aurelien Marc

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Shevtsov: Teaching Modeling To First-Year Life Science Students: The Ucsc Experience, Martin H. Weissman

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Simulating Interventions To Improve Reproducibility In Scientific Publications, Ben G. Fitzpatrick

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Kreig: Examining Affinity Maturation And Antigenic Drift With An Agent-Based Model, Jasmine Af Kreig, Jannatul Ferdous, Ruian Ke, Ruy M. Ribeiro

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modelling Saccharomyces Cerevisiae For The Production Of Fermented Beverages, Paul A. Valle Dr., Yolocuauhtli Salazar Dr., Luis N. Coria Dr., Oscar N. Soto Dr., Jesus B. Paez Dr.

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Network Analysis Of Progress In Mathematics Research, Anna Singley

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

From Ecology To Modeling Apps - Newts, Crayfish, And Slopes, Timothy Lucas

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Bodine: Exploring The Versatility Of Agent-Based Modeling In Netlogo: Lessons From Education And Research, Anne E. Yust

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Bayesian Networks And Machine Learning For Predicting Breast Cancer Growth From In Vitro Cell Count Data, Widodo Samyono

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Predicting And Monitoring Immune Checkpoint Inhibitor Therapy Using Artificial Intelligence In Pancreatic Cancer, Guangbo Yu, Zigeng Zhang, Aydin Eresen, Qiaoming Hou, Farideh Amirrad, Sha Webster, Surya M. Nauli, Vahid Yaghmai, Zhuoli Zhang

Pharmacy Faculty Articles and Research

Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and limited treatment options. This review examines the challenges and potential of using immunotherapy to treat pancreatic cancer, highlighting the role of artificial intelligence (AI) as a promising tool to enhance early detection and monitor the effectiveness of these therapies. By synthesizing recent advancements and identifying gaps in the current research, this review aims to provide a comprehensive overview of how AI and immunotherapy can be integrated to develop more personalized and effective treatment strategies. The insights from this review may guide future research efforts …

Comparison Of Efficient Deep Learning Architectures For Lactobacillus Species Identification, Dea Aisyah Rusmawati, Ishak Ariawan, Afrinal Firmanda

Karbala International Journal of Modern Science

Identifying microorganism species, such as Lactobacillus, is essential in ensuring the food products' quality and safety. Traditional laboratory practice requires expert knowledge and experience, but the method is expensive and time-consuming due to complex sample preparation. Faster, more accurate, and cheaper computational methods, such as transfer learning technology, are needed for the Lactobacillus species classification. The technique has been effective in a variety of image recognition contexts. Deep learning architecture can also be applied as an innovative strategy for digital image-based identification. Therefore, this research aims to compare several deep-learning architectures in classifying bacterial strains of Lactobacillus. The four architectures …

Mathematically Modeling How Trapping Specific Crayfish Life Stages Impacts Removal Efficacy, Relena Pattison, Courtney L. Davis

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.