Life Sciences Commons^™

Invertivore Fish Predation Is An Overlooked Source Of Carbonate Sediment On A Turbid Coral Reef, Jake L. Nilsen, Nicola K. Browne, Kyle M. Morgan, Joshua L. Bonesso, Dylan Benson, Shannon Dee, Michael J. O’Leary, Lisa A. Kirkendale, Peter U. Middelfart, Michael V.W. Cuttler, Jennifer L. Mcilwain

Research outputs 2022 to 2026

The geomorphic stability of coral reef islands depends on a continued supply of biologically derived sediment from reefs. However, the ecological processes that produce detrital sediment remain poorly resolved. The role of fishes as sediment producers has largely focused on coral sand generated by parrotfishes (Labridae: Scarinae) in clear-water settings, while the contribution of other groups, such as durophagous invertivores, remains poorly understood. Here, we quantify the contribution of invertivores to carbonate sediments at an inshore reef in the Exmouth Gulf, Western Australia, by combining fish census data and dietary analysis, coupled with taphonomic and compositional analysis of benthic sediments. …

Wattage- And Composition-Dependent Ocular Surface Toxicity: An In Vitro Study On E-Cigarette Aerosol Exposure In Human Corneal Epithelial Cells, Tzu-Ling Lin

Masters Theses

As electronic cigarette consumption continues to escalate globally, its impact on non-respiratory mucosal surfaces, particularly the ocular surface, remains largely understudied. This study investigated the toxicological effects of e-cigarette aerosols using a human corneal epithelial cell (HCE-2) model. Our findings reveal that aerosol exposure induces a significant, dose-dependent reduction in cell viability, exacerbated by higher device wattage and specific flavor agents such as watermelon. Exposure was found to trigger intracellular oxidative stress and the activation of apoptotic pathways, leading to programmed cell death. Furthermore, the upregulation of proinflammatory cytokines suggests that vaping may predispose users to chronic inflammatory conditions of …

Breaking Down Seagrass Fragmentation In A Marine Heatwave Impacted World Heritage Area, Michael D. Taylor, Simone Strydom, Matthew W. Fraser, Ana M.M. Sequeira, Gary A. Kendrick

Research outputs 2022 to 2026

Marine heatwaves, and other extreme climatic events, are driving mass mortality of habitat-forming species and substantial ecological change worldwide. However, habitat fragmentation is rarely considered despite its role in structuring seascapes and potential to exacerbate the negative impacts of habitat loss. Here, we quantify fragmentation of globally significant seagrass meadows within the Shark Bay World Heritage Area before and after an unprecedented marine heatwave impacting the Western Australian coastline over the austral summer of 2010/11. We use a spatial pattern index to quantify seagrass fragmentation from satellite-derived habitat maps (2002, 2010, 2014 and 2016), assess potential predictors of fragmentation and …

The Role Of Agricultural Biomass In Supply Chain Decarbonization, Ruxia Lyu, Sobhan Arisian, Zhitang Li, Mohammad S. Taskhiri, Reza Kiani Mavi

Research outputs 2022 to 2026

To achieve supply chain decarbonization, environmentally conscious manufacturers are transforming their energy infrastructure. While certain manufacturers are adopting a pure bioenergy strategy in their production processes, others are opting for a hybrid energy approach that combines traditional energy with bioenergy. This choice is often influenced by limitations in land capacity and the developmental stage of biomass conversion technologies. This paper introduces a game-theoretic model that explores the optimal approach to achieving supply chain decarbonization by strategically selecting energy portfolios. Our findings reveal that in scenarios where the market size is small, manufacturers tend to adopt a hybrid energy strategy, particularly …

Roles Of Transcription Factors In Mediating Abiotic Stress Responses In Cereals, Shikha Bharti, Joshwa A. Gandy, Ishita Bajaj Hengge, Javier Ramos, Bradley O. Christoffersen, Michael W. Persans, Manohar Chakrabarti

School of Integrative Biological & Chemical Sciences Faculty Publications

Cereals are staple crops for the majority of the global population, making their sustained productivity essential for food security. However, abiotic stresses significantly threaten their growth and overall yield by disrupting essential physiological, cellular, and biochemical processes. Enhancing stress resilience in cereals is therefore a critical objective for agricultural improvement under changing climatic conditions. A fundamental step toward this goal involves understanding the roles of transcription factors (TFs), which are primary regulators of changes in gene expression in response to stresses. TFs regulate complex signaling networks that enable plants to adjust their biochemical and physiological functions under abiotic stress conditions. …

Missing Planktivore Functions Drive Global Variation In Reef Fish Productivity, James Gahan, Helen F. Yan, David R. Bellwood, Graham J. Edgar, Leo T. Nankervis, Alexandre C. Siqueira, Rick D. Stuart-Smith, Sterling B. Tebbett

Research outputs 2022 to 2026

The functioning of high-diversity ecosystems, such as coral reefs, is intrinsically tied to the integrity and efficiency of the trophic pathways within these systems. Coral reef productivity depends, in part, on the input of external nutrients, primarily zooplankton, that is assimilated by extraordinarily diverse fish communities. The plankton–planktivore trophic pathway is thus crucial for sustaining the productivity that exemplifies coral reef ecosystems; however, it remains poorly understood at large spatial scales. Here we explore global patterns in reef fish community structure, revealing a major discrepancy between the Indo-Pacific and Caribbean in the productivity and fisheries potential of planktivorous reef fishes. …

Success Criteria: Sustainable Efficacy In Australian Farmer Groups, David K. Mckenzie, Janine Joyce, Kerstin K. Zander, Penelope A.S. Wurm, Kim M. Caudwell

Research outputs 2022 to 2026

Purpose: To examine the factors and processes that sustain the efficacy of farmer groups as extension intermediaries for influencing collective innovation, and knowledge co-creation and exchange. Design/Methodology/Approach: Data was collected from farmer interviews, focus groups, and the published digital documents of five farmer groups across SE Australia. A grounded theory mixed-methods approach was used for data collection and analysis, aided by Atlas software in constructing concepts and a concept map representing group processes. Findings: The ability of groups to influence farm innovation, and farmer learning and knowledge co-creation, depends on the group efficacy. Group identity in advancing farmer interests and …

Increasing Body Size Unlocks Gelatinous Planktivory In A Key Coral Reef Fish Species, James Gahan, David R. Bellwood, Renato A. Morais, Leo Nankervis, Isabelle Ng, Alexandre C. Siqueira, Cecilia Villacorta-Rath, Sterling B. Tebbett

Research outputs 2022 to 2026

Coral reefs depend on the assimilation of off-reef nutrients, particularly from zooplankton, to fuel on-reef productivity. Planktivorous reef fishes thus play a critical role in sustaining a key ecosystem function as the major consumers of plankton. The importance of gelatinous zooplankton to the nutritional ecology of larger-bodied planktivorous fishes is becoming increasingly apparent. Yet, the extent to which feeding on gelatinous plankton within these taxa is a product of ontogeny has not yet been addressed. It has been hypothesised that Caesio cuning, a key planktivorous species that contributes substantially to reef fish biomass on Australia’s Great Barrier Reef, undergoes an …

Peptidomic Profiling Of In Vitro Digesta From Diverse Microalgae Species, Sara Hamzelou, Damien Belobrajdic, Henri Brook, Wei Chen, Fletcher Hiten, Kim Lee Chang, Diane Purcell, Utpal Bose, Simone Osborne, Cassandra Pegg, Michelle L. Colgrave

Research outputs 2022 to 2026

Microalgae are a sustainable protein source, yet few species are used for human nutrition. This study evaluated eight species for protein quality, digestibility, and peptide profiles after simulated gastrointestinal digestion using INFOGEST. Amino acid content, and intestinal-phase peptide mixtures were analysed by mass spectrometry. The methanol precipitation method was used to separate digested (supernatant) and undigested (pellet) peptides following in vitro INFOGEST digestion. The pellet was further separated by molecular weight into 3–10 kDa and >10 kDa fractions to isolate the lower molecular weight peptides from the higher ones. This separation method enabled the identification of potential digested peptides within …

Strengthening Ocean Literacy: Marine Science Education And Training To Ensure Australia's Blue Future, Prue Francis, Rachel Kelly, Louise Swanson, Tanveer M. Adyel, Benjamin Arthur, Kirsten Benkendorff, Melanie J. Bishop, Helen Bostock, Marnie L. Campbell, Emma Church, Corrine Condie, Vaibhavi Dwivedi, Michelle Dyer, Matthew England, Liam Fullbrook, Charlie Huveneers, Malcolm Johnson, Brianna Le Busque, Rebecca R. Mcintosh, Amelie Meyer, Benjamin Mos, Jana Mrazova, Allyson O'Brien, Gretta T. Pecl, Amandine Schaeffer, Rebecca J. Shellock, Grant A. Smith, Scott Smithers, Ana Vila-Concejo, Graham Wood

Research outputs 2022 to 2026

This white paper sets out a national vision for advancing ocean literacy in Australia and outlines the role of marine science in fostering an informed, engaged society capable of addressing the challenges and opportunities of our changing oceans. As environmental pressures intensify, and marine resource demands increase, Australians’ capacity to engage with ocean issues, understand risks and opportunities, and participate in marine decision-making has never been more urgent. Marine science will play a central role in building ocean literacy by delivering credible, actionable science, and strengthening education and training systems that enhance understanding of, and connection to, the ocean. Our …

A Generalized Framework For The “Core” Thalamocortical Circuit Computation, Charles Liu

Dartmouth College Ph.D Dissertations

This thesis explores a biologically inspired computational framework based on a common excitatory-inhibitory circuit in the superficial layers of the cortex. By varying the strength of local feedback inhibition, this single circuit gives rise to distinct unsupervised learning behaviors: strong inhibition leads to clustering and hierarchical clustering, while weak inhibition produces principal component-like representations. From this principle, we develop three algorithms: Lateral Inhibition Clustering (LI-C), Lateral Inhibition Hierarchical Clustering (LI-HC), and Antipodal Iterative Mean Estimation (AIME).

LI-C performs clustering without requiring a predefined number of clusters, using a competitive learning rule to extract dominant patterns from data. LI-HC extends this …

Liver X Receptor Α (Lxrα) Regulates 5Β-Reductase (Akr1d1) Expression In Avian Embryos: Implications For Yolk Steroid Metabolism, Ryan T. Paitz, Sara E. Waters, Delaney K. Reynolds, Emily M. Drew, Emily P. Harders

Faculty Publications – Biological Sciences

Steroid-mediated maternal effects are well-studied as a source of phenotypic variation. In bird eggs, the yolk contains various steroids that can influence embryonic development. However, one complicating factor in understanding how yolk steroids affect development is that the embryo metabolizes yolk steroids to regulate exposure. The 5β-reduction of steroids by the enzyme 5β-reductase (AKR1D1) has been identified as a pathway through which yolk progesterone, testosterone, and corticosterone are all metabolized early in avian development. We set out to characterize the mechanism through which AKR1D1 expression is regulated in chickens (Gallus gallus) during embryonic development. We found …

Following The Water: Tree Water Sources In Coastal Northern California Forests, Kaitlyn Briggs

Cal Poly Humboldt theses and projects

Increasing drought intensity and declining summer water availability in Mediterranean- climate forests raise concerns about forest resilience and streamflow persistence. This study evaluated how tree water sources vary with hillslope position, season, species, and watershed context across three coastal northern California forests. Stable isotopes of hydrogen (δD) and oxygen (δ18O), soil moisture time series, linear mixed-effects models, and site-specific Bayesian mixing models (MixSIAR) were used to estimate proportional contributions of shallow soil, deep soil, stream-associated, and fog water to tree xylem water. Across sites, xylem water isotopic signatures overlapped primarily with soil water, indicating dominant reliance on subsurface sources, while …

Geographic Variation In Proteomic Responses To Ocean Acidification In A Cold-Water Coral (Balanophyllia Elegans), Keana A. Richmond

Cal Poly Humboldt theses and projects

In the face of a rapidly changing climate, assessing organismal responses to future stressors in the context of current, natural exposure to stress could provide key insights to understanding marine ecosystem resilience. I used Balanophyllia elegans, a cold-water, solitary, azooxanthellate coral as a model to better understand how varying oceanographic conditions across its geographic range have shaped its ability to tolerate and potentially adapt to current and future ocean acidification conditions. I collected B. elegans individuals from four sites across 2,500km of their range and subjected them to two pH treatments to investigate site-specific protein expression in response to …

Early Successional Response To Stream Daylighting In Redwood National And State Parks, Orick, California, Rylee Rawson

Cal Poly Humboldt theses and projects

In-channel stream restoration projects can act as both disturbance and recovery mechanisms, disrupting existing conditions to reestablish the hydrologic and ecological processes that sustain stream ecosystems. These interventions initiate successional trajectories in which channel form and biological communities reorganize over time. In Redwood National and State Parks (California, USA), the Redwoods Rising initiative restores buried headwater channels by recontouring legacy logging roads and daylighting streams buried by Humboldt crossings. Using the National Park Service Klamath Network wadable stream monitoring protocol, I evaluated nine restored reaches spanning one to five years post-restoration, alongside old-growth reference reaches and available pre-treatment data. I …

Postfire Habitat Use And Density Of Pacific Martens (Martes Caurina) In Lassen National Forest, California, Deirdre L. Replinger

Cal Poly Humboldt theses and projects

Increasing frequency, size, and severity of wildfires in western North America threatens forest-dependent wildlife species. The Pacific marten (Martes caurina) has historically been associated with mature, structurally complex forest throughout most of its range. Recently, martens have been detected in forests burned at high severity by the 2021 Dixie Fire—the largest recorded single fire in California state history. I used non-invasive remote camera traps and hair snares (n = 166 sites) to assess marten habitat use and density using spatial occupancy and spatial capture-recapture models. I detected martens across the burn severity gradient (unburned to high-severity) at …

Long-Term Relationships Between Tree Growth And Climate In The Trinity Alps Wilderness, Klamath Mountains, California, Usa, Emma R. Knepp

Cal Poly Humboldt theses and projects

The Trinity Alps Wilderness is a unique setting for evaluating late-Holocene climate variability because former glaciers occupied comparatively low elevations in a region influenced by both coastal and interior climate patterns. Tree-ring chronologies were developed from four conifer species—Shasta red fir (Abies magnifica var. shastensis), western white pine (Pinus monticola), Brewer’s spruce (Picea breweriana), and mountain hemlock (Tsuga mertensiana)—sampled at high elevations (1950 - 2300 m) near Emerald and Grizzly Lakes in the Trinity Alps Wilderness in northern California. The final chronologies included 12 Shasta red fir trees, 12 western white pine …

Species Boundaries Of The Rare Menzies’ Wallflower (Brassicaceae: Erysimum Menziesii), An Endemic Of The Northern California Coast, Cameron M. Jones

Cal Poly Humboldt theses and projects

Morphological similarity among geographically isolated populations can obscure deep evolutionary divergence, especially when convergent evolution under similar environmental conditions yields comparable phenotypes across independent lineages. Such cryptic diversity is likely underestimated in hotspots like the California Floristic Province (CFP), a global biodiversity hotspot, defined by its Mediterranean-like climate and encompassing most of California, southwestern Oregon, and northwest Baja California. The CFP is home to a disproportionate number of narrow endemics whose origins and evolutionary relationships remain poorly understood. Here, I investigate the evolutionary origins of Erysimum menziesii (Brassicaceae), a federally endangered California coastal dune endemic whose fragmented distribution has led …

Assessing A Half-Century Of Change In Understory Plant Range And Frequency In The Klamath Mountains Of California, Emily Jean Jackson

Cal Poly Humboldt theses and projects

The effects of climate change have and will continue to impact plant communities, including by potentially shifting species’ ranges towards topographically sheltered, cooler locations or higher elevations. In 2024, I resampled 140 vegetation plots established in 1969 in the Klamath Mountains of Northern California to assess range shifts of 46 understory species over a 55-year period. During this time, the elevational distribution of all species has increased significantly by an average of 26.9 m, but this increase was slower than necessary to track historic temperature niches given regional warming (215-311 m). Despite this overall increase, only four species exhibited significant …

Multiple Burn And Forest Characteristics Affect Gray Fox (Urocyon Cinereoargenteus) Occurrence Following A California Megafire, Amida Zohar Verhey

Cal Poly Humboldt theses and projects

In western North American forests, predator communities are faced with changing fire regimes and increased fire severity and size, particularly with megafires (>10,000 ha). As some wildlife communities may restructure following the loss of apex consumers, understanding post-fire space use of mid-trophic carnivores may inform species composition in these forests. I compared gray fox (Urocyon cinereoargenteus) occupancy in and around the 2021 Dixie Fire, the largest single-ignition fire in California state history, to examine which spatially variable burn and forest characteristics affected the space use of a widespread generalist mesopredator. Using 210 camera traps placed in 2023, …

Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

The 3D organization of chromatin plays a fundamental role in gene regulation, cellular function, and disease mechanisms. However, current experimental techniques, such as Hi-C, remain costly and labor-intensive, limiting their application in large-scale and disease-related studies. To address this challenge, ChromNet is presented, a multi-task learning framework that integrates epigenetic signals across diverse cell types to enable high-precision prediction of chromatin architecture. By incorporating noise perturbation and auxiliary classification tasks, ChromNet improves the identification of topologically associating domains (TADs) and cell-type-specific chromatin structures, demonstrating superior generalization performance. Notably, ChromNet accurately predicts chromatin interactions in acute myeloid leukemia (AML) samples by …

A Comprehensive Overview Of Neurophysiological Correlates Of Cognitive Impairment In Amyotrophic Lateral Sclerosis, Seyyed Bahram Borgheai, Brie E. Achorn, Alyssa H. Zisk, Sarah M. Hosni, Karl E. G. Richter, Frank S. Menniti, Yalda Shahriari

Computer Science Faculty Publications

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that leads to the gradual loss of motor control, typically resulting in paralysis and death within 3 to 5 years of diagnosis. ALS shares neuropathological and genetic associations with fronto-temporal dementia (FTD), a neurodegenerative condition primarily impacting cognitive functions. These two conditions are increasingly viewed as manifestations of a single molecular disease process that affects distinct brain systems, impacting motor neuronal pathways in ALS and fronto-cortical functions in FTD. However, this simple dichotomy belies the complexity of these conditions. In particular, patients with primary motor ALS can also experience significant cognitive …

Explainable Convolutional Neural Network Model Provides An Alternative Genome-Wide Association Perspective On Mutations In Sars-Cov-2, Parisa C. Hatami, Richard Annan, Luis Miranda, Jane L. Gorman, Mengjun Xie, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Identifying informative genomic features in SARS-CoV-2 can help clarify patterns of viral evolution. In this study, we developed an explainable convolutional neural network (CNN) model to classify SARS-CoV-2 genomic sequences into the WHO-designated Variants of Concern (VOCs), Alpha, Beta, Gamma, Delta, and Omicron. Using a balanced dataset of genomes, the classification CNN achieved 99.96% accuracy on the held-out test set. To interpret the model’s predictions, we applied SHapley Additive exPlanations (SHAP) to estimate the contribution of each nucleotide position to VOC-label prediction and compared aggregated attributions with a chi-square GWAS baseline applied to the same categorical labels. SHAP prioritized several …

Privacy-Preserving Federated Learning With Optimized Ensemble Weighting And Knowledge Distillation For Covid-19 Detection From Non-Iid Medical Imaging Data, Richard Annan, Hong Qin, Robert Newman, Madhuri Siddula, Letu Qingge

Computer Science Faculty Publications

Medical imaging enables rapid and accurate diagnosis of COVID-19, with CT scans proving especially effective. However, data privacy concerns limit collaborative model development across hospitals. To address this issue, we introduce a novel federated learning framework. It is referred to as Independent Knowledge Distillation with post-Ensemble Federated Learning (IKDEFL). Differential Privacy (DP) is integrated into the framework to improve privacy guarantees. Three DP mechanisms are evaluated. These include Fixed Gaussian, Gaussian Adaptive, and Tree Adaptive. The evaluation has been conducted on heterogeneous and Non-Independent and Identically Distributed (Non-IID) datasets. These datasets reflect real-world hospital scenarios. Results show that IKDEFL significantly …

Larval Crowding In Culex Pipiens Generates Cumulative Cascading Effects Under Changing Environmental Conditions, Sengul Talay, Zafer Sakaci, Michele C. Weigle, Bugrahan Regaip Kilinc, Jenah Parman, Holly Gaff, Deniz Sirin, Bulent Alten, Dennis Bente, Sirri Kar

Computer Science Faculty Publications

Density-dependent population regulation is a fundamental driver in the population dynamics of living systems, ensuring a balanced and sustainable maintenance in nature. It has been suggested that the adverse developmental and morphological effect of high larval density in container mosquitoes represents a significant limiting factor for population density, and the need to investigate this possible importance within the framework of field-based principles has been emphasized. This semi-field study, conducted under the natural thermal regime and using a natural population in Turkish Thrace, aimed to examine the effects of non-food-limiting larval density (crowding effect) in the mosquito species, Culex pipiens ( …

Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug combination therapy in disease management gained popularity in the last few decades. Computational modeling of such combinations is an active area of research in the drug discovery domain. While earlier approaches solely emphasized on the structural features of participating drugs for designing synergistic models, they lack other crucial factors directly linked with drug administration - omics expressions. As differential omics expression is a downstream consequence of the administered drug combinations, utilizing such expressions while designing synergistic models promises robust and dynamic modeling. In this work, we propose SynergyLM that fuses multi-omics features with drug embeddings to build an omics-aware …

Perspective: Radiotherapy And Body Composition: Unmet Needs In Low- And Middle-Income Countries, Alexia J Murphy-Alford, Aaron J Grossberg, Vickie E Baracos, Maha Barbar, Judy Bauer, Jonathan P Bennett, Elena Fidarova, Clifton D Fuller, Anastassia Löser, Amy C Moreno, Anurima Patra, Deepa Puttaswamy, David I Rosenthal, Judy Schoeman, Yavuz Anacak

Faculty, Staff and Student Publications

Radiotherapy plays a vital role in cancer treatment, yet its effects on patients' nutritional status can precipitate muscle loss, with significant implications for treatment tolerance and outcomes. Evidence from high-income countries increasingly links radiation-induced muscle loss to adverse clinical outcomes. In contrast, low- and middle-income countries face a stark evidence gap, despite the heightened vulnerability of cancer patients in these settings due to delayed diagnosis, limited access to care, and high rates of co-morbidities. This paper highlights the critical gaps in nutritional care for radiotherapy patients in low- and middle-income countries.

Genomic Determinants Of Response And Resistance To Pirtobrutinib In Relapsed/Refractory Chronic Lymphocytic Leukemia, Jennifer R Brown, Bastien Nguyen, Sai Prasad Desikan, Helen Won, Shady I Tantawy, Samuel C Mcneely, Narasimha Marella, Hetal S Randeria, Lauren M Hanson, Andrew Parker, Salomé Calado Botelho, Jennifer A Woyach, Krish Patel, Constantine S Tam, Toby A Eyre, Chan Y Cheah, Nirav N Shah, Paolo Ghia, Wojciech Jurczak, Minna Balbas, Binoj Nair, Paolo Abada, Chunxiao Wang, Denise Wang, Lindsey E Roeker, Varsha Gandhi, William G Wierda

Faculty, Staff and Student Publications

Pirtobrutinib, a noncovalent, reversible Bruton tyrosine kinase inhibitor (BTKi), demonstrated efficacy in patients with chronic lymphocytic leukemia (CLL), resistant to covalent BTKi (cBTKi). We analyzed genomic correlations with response and resistance to pirtobrutinib in relapsed/refractory (R/R) patients with CLL pretreated with cBTKi enrolled in the phase 1/2 BRUIN trial. DNA sequencing was performed on peripheral blood mononuclear cells at baseline, on treatment, and at progressive disease (PD). Common alterations at baseline included mutations in BTK (43%), TP53 (38%), SF3B1 (25%), NOTCH1 (23%), ATM (19%), XPO1 (11%), PLCG2 (9%), BCL2 (8%), and 17p deletion (28%). Common baseline BTK mutations included C481S …

Metastasis-Directed Radiotherapy For Oligometastatic Urothelial Carcinoma Of The Bladder And Upper Tract, Patrick Carriere, Omar Alhalabi, Jianjun Gao, Amishi Shah, Sangeeta Goswami, Matthew Campbell, Ruitao Lin, Lauren Mayo, Osama Mohamad, Karen Hoffman, Henry Mok, Charmaigne Lozano, Ashish Kamat, Neema Navai, Kelly Bree, Byron Lee, Charles Guo, Michael Rooney, Chad Tang, Seungtaek Choi, Comron Hassanzadeh

Faculty, Staff and Student Publications

Background: Metastasis-directed therapy (MDT) for oligometastatic cancer is utilized for genitourinary malignancies including prostate and kidney cancers. Clinical research on MDT for urothelial carcinoma (UC) remains sparse, especially as systemic therapy advances have improved outcomes.

Objective: We investigated the role of MDT, specifically radiotherapy, for patients with oligometastatic bladder or upper-tract UC.

Methods: Data were collated on patients with metastatic UC with 5 or fewer metastatic sites undergoing MDT with ablative radiotherapy with or without preceding systemic therapy during January 2016 to July 2024. Endpoints were progression-free survival (PFS), and overall survival (OS). Cox proportional hazards analysis was conducted to …

The Effects Of Fitness Self-Testing With Instant Feedback On Changes In Health-Related Fitness Among Chinese Male College Students, Yongshun Wang, Xiaofen D Hamilton, Rulan Shangguan, Anlu Yang, Na Xiao, Chenhao Wu, Sizhe Liu, Ren Yang, Jiren Zhang, Mark F Hamilton

Faculty, Staff and Student Publications

Background: The decline in health-related physical fitness resulting from physical inactivity remains a critical global public health concern. Technology-supported fitness self-testing has the potential not only to improve students' testing experiences but also to enhance their health-related fitness. However, the effectiveness of such approaches has not yet been systematically examined, and their validity within university populations remains largely unestablished.

Method: A quasi-experimental research design with a control group (n = 45) and an experimental group (n = 44), incorporating pre- and post-tests, was employed in this study. The experimental group completed monthly self-testing sessions accompanied by GAI-generated instant feedback over …