Life Sciences Commons^™

Treating Ground Water For Agricultural And Individual Consumption, Gabby Miller, Bronson Scott, Michael Clawson

Biomedical Engineering

This project, conducted in collaboration with Cal Poly seniors and Da Vinci High School students, aims to develop a solar-powered groundwater purification system. This system is designed to provide clean water for agricultural use and individual consumption, addressing the growing concerns of groundwater contamination and accessibility needs. The final prototype integrates a gravity filtration system combined with chemical purification, utilizing aluminum sulfate and chlorine to remove particulates, bacteria, and organic compounds.

The research phase involved an extensive review of groundwater contamination issues, existing filtration technologies, and market analysis. Key design constraints included cost-effectiveness, ease of maintenance, and minimal energy consumption, …

Experimental Approaches To Investigate Biophysical Interactions Between Homeodomain Transcription Factors And Dna, Fadwa Mekkaoui, Robert A. Drewell, Jacqueline M. Dresch, Donald E. Spratt

Chemistry

Homeodomain transcription factors (TFs) bind to specific DNA sequences to regulate the expression of target genes. Structural work has provided insight into molecular identities and aided in unraveling structural features of these TFs. However, the detailed affinity and specificity by which these TFs bind to DNA sequences is still largely unknown. Qualitative methods, such as DNA footprinting, Electrophoretic Mobility Shift Assays (EMSAs), Systematic Evolution of Ligands by Exponential Enrichment (SELEX), Bacterial One Hybrid (B1H) systems, Surface Plasmon Resonance (SPR), and Protein Binding Microarrays (PBMs) have been widely used to investigate the biochemical characteristics of TF-DNA binding events. In addition to …

Critical Evaluation Of Falsehoods In Physiology Using Ai, Jean-Philippe Berteau, Michael Mcgee

Open Educational Resources

The document outlines a structured approach for general health sciences students, including both undergraduates and graduates, to critically evaluate falsehoods in physiology using AI tools. Applicable to biology and other life sciences, the exercises are divided into three parts, each designed to enhance critical thinking and evidence-based decision-making. Part 1 focuses on debunking biological myths, such as the idea that muscle turns into fat if you stop exercising, by generating and refining AI responses. Part 2 involves using AI to gather and verify evidence-based information on health science myths, like homeopathy's efficacy in treating low back pain, emphasizing the importance …

The Influence Of Historical Climate Cycles On The Diversification And Demography Of Species From The Neotropical Lizard Group Anolis Chrysolepis, Tony Gamble

Biological Sciences Faculty Research and Publications

Historical shifts in climate have significantly influenced the establishment of ecosystems and the evolution of species. Phylogeographical studies integrated with niche modelling can provide insights into divergence events and demography. This study explores the evolutionary history, demographic patterns, and spatiotemporal dynamics of seven South American lizard species of the Anolis chrysolepis species group, which has been proposed to be strongly impacted by Pleistocene climatic fluctuations under the Refugia Hypothesis. We utilized mitochondrial and nuclear DNA sequences to delineate lineages, estimate divergence times, and examine demographic dynamics. Ecological niche models were employed to assess historical range shifts and identify climatic stability …

A System Dynamics Model For Predicting African Armyworm Occurrence And Population Dynamics, Bonoukpoè Mawuko Sokame, Brian Kipkorir, Komi Mensah Agboka, Saliou Niassy, Yeneneh Belayneh, Maged Elkahky, Henri E.Z. Tonnang

All Peer-Reviewed Publications

This study develops a comprehensive system dynamics model to predict and manage African armyworm (Spodoptera exempta) outbreaks, a major threat to cereal crops across Africa. We applied system dynamics approache with its archetypes (causal loop diagram (CLD), reinforcing (R) and balancing (B)) to analyse the population dynamics of the pest. The VENSIM modelling platform (Ventana Systems Inc., DSS 8.2) was used to implement the models and carry out the simulations. The research integrates extensive data from 1980 to 2023, encompassing the African armyworm's life cycle stages, climatic variables, and intervention strategies, to simulate potential outbreak scenarios and evaluate the impacts …

Arkansas Soybean Research Studies 2023, Jeremy Ross

Arkansas Agricultural Experiment Station Research Series

The 2023 Arkansas Soybean Research Studies includes research reports on topics pertaining to soybean across several disciplines from breeding to post-harvest processing. Research reports contained in this publication may represent preliminary or only data from a single year or limited results; therefore, these results should not be used as a basis for long-term recommendations.

Several research reports in this publication will appear in other University of Arkansas System Division of Agriculture’s Arkansas Agricultural Experiment Station publications. This duplication is the result of the overlap in research coverage between disciplines and our effort to inform Arkansas soybean producers of the research …

A High-Lipid Diet Leads To Greater Pathology And Lower Tolerance During Infection, Weston Gerald Perrine, Erin Sauer, Ashley C. Love, Ashley Morris, Johnathan Novotny, Sarah Durant

Biological Sciences Faculty Publications and Presentations

Altered food landscapes contribute importantly to wildlife disease dynamics and may play a critical role in host heterogeneity in disease outcomes through changes in host diet composition. We explored the effects of dietary macronutrient composition on disease pathology and feeding behavior of canaries (Serinus canaria domestica) infected with Mycoplasma gallisepticum (MG). In the first experiment, we provided canaries with isocaloric diets composed of identical ingredients that varied in macronutrient content (high protein or high lipid) then MG- or sham-inoculated birds. In the second experiment, we offered both diets to canaries before and after MG or sham inoculation. In experiment one, …

Assessment Of Physiological & Biochemical Changes In Tomato Plants Treated With Plant Growth Promoting Rhizobacteria (Pgpr) Under Salinity Stress Conditions, Mohammed Sharif Alhosani

Theses

Plant growth-promoting rhizobacteria (PGPRs) can effectively mitigate the negative impacts of salt stress on plants. The present study reports the isolation of PGPRs from a high-saline mangrove ecosystem in Abu Dhabi, with isolates exhibiting ACC deaminase (ACCD) activity to reduce stress-induced ethylene, along with additional plant growth-promoting (PGP) characteristics, including phosphate solubilization (P+). A total of 57 salt-tolerant bacterial isolates from the mangrove rhizosphere were initially screened for ACCD and P+ activities. Of these, 24 isolates tested positive for PGP characteristics and were further evaluated for their ability to enhance salt stress tolerance in tomato seedlings. In addition, seedlings inoculated …

House Flies (Musca Domestica) In Abu Dhabi Emirate: Assessing Deltamethrin Insecticide Resistance And Associated Microbial Communities, Mohamad Abdelrahim Hamdan

Theses

This study investigates the common house fly (Musca domestica), a globally important insect that serves as both a decomposer and a mechanical vector for pathogens. The emergence of insecticide resistance, particularly knockdown resistance (kdr) mutations, has been reported in house fly populations, raising concerns for pest control. Additionally, house flies exhibit diverse bacterial communities, influencing pathogen transmission and environmental microbial dynamics. The primary objective of this study was to assess the prevalence of kdr mutations associated with insecticide resistance in house flies collected from the Abu Dhabi Emirate and to analyze their microbial composition using metagenomic approaches. House flies were …

Exploring Italian Consumers’ Willingness To Pay For Sustainable Fashion: The Roles Of Eco-Consciousness And Vintage Preference, Minh Hoang Nguyen, Minh Phuong Thi Duong, Thien Vu Tran, Hong Hue Thi Nguyen, Tran Thi Mai Anh, Quan Hoang Vuong

Michigan Tech Publications

The former study suggests that Italian consumers are willing to pay premiums for new bio-based products but expect discounts on second-hand clothing, revealing a sustainability bias. This study adds more insights into such a bias by examining factors influencing consumers’ willingness to pay a premium for bio-based clothing and their expected discounts for second-hand items. Using Bayesian Mindsponge Framework (BMF) analytics on a dataset of 402 Italian consumers, the findings reveal that environmental concerns are positively associated with premiums for bio-based clothing, while higher income and education levels are also associated with the higher premium that consumers are willing to …

Combining Radioembolization And Immune Checkpoint Inhibitors For The Treatment Of Hepatocellular Carcinoma: The Quest For Synergy, Christopher D Malone, Suryansh Bajaj, Aiwu He, Kabir Mody, Ryan M Hickey, Ammar Sarwar, Sunil Krishnan, Tushar C Patel, Beau B Toskich

Faculty, Staff and Student Publications

Hepatocellular carcinoma is a leading and increasing contributor to cancer-related death worldwide. Recent advancements in both liver-directed therapies in the form of yttrium-90 (90Y) radioembolization (RE) and systemic therapy in the form of immune checkpoint inhibitors (ICI) have expanded treatment options for patients with an otherwise poor prognosis. Despite these gains, ICIs and 90Y-RE each have key limitations with low objective response rates and persistent hazard of out-of-field recurrence, respectively, and overall survival remains low. However, each therapy's strength may mitigate the other's weakness, making them potentially ideal partners for combination treatment strategies. This review discusses the scientific and clinical …

Outcomes Of Standard-Risk Multiple Myeloma Patients Who Undergo Upfront Autologous Hematopoietic Stem Cell Transplantation, Oren Pasvolsky, Curtis Marcoux, Zhongya Wang, Denái R Milton, Babar Pal, Mark R Tanner, Qaiser Bashir, Samer Srour, Neeraj Saini, Paul Lin, Jeremy Ramdial, Yago Nieto, Guilin Tang, Naureen Syed, Yosra Aljawai, Hans C Lee, Krina K Patel, Melody R Becnel, Christine Ye, Partow Kebriaei, Sheeba K Thomas, Robert Z Orlowski, Richard E Champlin, Elizabeth J Shpall, Muzaffar H Qazilbash

Faculty, Staff and Student Publications

Patients with multiple myeloma (MM) without high-risk cytogenetic abnormalities are classified as having standard-risk MM (SRMM), and data focusing on their outcomes after autologous hematopoietic stem cell transplantation (autoHCT) are limited. We sought to evaluate survival outcomes for patients with SRMM receiving autoHCT, and to elucidate factors that impact these outcomes. This was a single-center retrospective analysis that included consecutive MM patients who received upfront autoHCT between 2013 and 2021, had available cytogenetic information and had no high-risk chromosomal abnormalities on fluorescence in situ hybridization, defined as t(4;14), t(14;16), del(17p) or 1q21 gain or amplification. A total of 1000 SRMM …

In Pursuit Of Ki-Rads: Toward A Single, Evidence-Based Imaging Classification Of Renal Masses, Stuart G Silverman, Ivan Pedrosa, Nicola Schieda, Vitaly Margulis, Payal Kapur, Matthew S Davenport

Faculty, Staff and Student Publications

Despite the successful application of Imaging Reporting and Data Systems to improve the radiologic description and management of disease in many organs, one does not yet exist for the kidney. Instead, the radiologic approach to the kidney has focused on the Bosniak classification system, which is based on imaging characteristics for cystic renal masses, and detecting macroscopic fat within solid renal masses. Radiologically, cystic and solid renal masses are categorized and evaluated separately because of historical precedent, differences in appearance at imaging, and differences in biologic behavior. However, the World Health Organization classification of renal neoplasms does not support such …

Proteasome Augmentation Mitigates Age-Related Cognitive Decline In Mice, Danitra Parker, Kanisa Davidson, Pawel A Osmulski, Maria Gaczynska, Andrew M Pickering

Faculty, Staff and Student Publications

The aging brain experiences a significant decline in proteasome function. The proteasome is critical for many key neuronal functions including neuronal plasticity, and memory formation/retention. Treatment with proteasome inhibitors impairs these processes. Our study reveals a marked reduction in 20S and 26S proteasome activities in aged mice brains, including in the hippocampus, this is driven by reduced functionality of aged proteasome. The decline in proteasome activity is matched by a decline in 20S proteasome assembly. In contrast, 26S proteasome assembly was found to increase with age, though 26S proteasome activity was still found to decline. Our data suggests that age-related …

Safety And Efficacy Of Dtx401, An Aav8-Mediated Liver-Directed Gene Therapy, In Adults With Glycogen Storage Disease Type I A (Gsdia), David A Weinstein, Terry G Derks, David F Rodriguez-Buritica, Ayesha Ahmad, María-Luz Couce, John J Mitchell, Rebecca Riba-Wolman, Malaya Mount, Julieta Bonvin Sallago, Katalin M Ross, Melanie M Van Der Klauw, Foekje De Boer, Caroline Van Der Schaaf, Heather Saavedra, Miguel Martínez-Olmos, Elvis Atanga, Asad Hosseini, Deepali Mitragotri, Eric Crombez

Faculty, Staff and Student Publications

Glycogen storage disease type Ia (GSDIa) is a rare, life‐threatening, inherited carbohydrate metabolism disorder caused by glucose‐6‐phosphatase (G6Pase) deficiency, which is essential for glycogenolysis and gluconeogenesis. GSDIa management includes a strict medically prescribed diet that typically includes daily uncooked cornstarch doses, including overnight, to maintain euglycemia. DTX401 is an investigational adeno‐associated virus serotype 8 vector expressing the human G6PC1 gene that encodes G6Pase. This open‐label, phase 1/2, dose‐escalation, 52‐week gene therapy trial evaluated the safety and efficacy of a single DTX401 infusion in 12 adults with GSDIa (ClinicalTrials.gov Identifier: NCT03517085). Three participants in Cohort 1 received DTX401 2.0 × …

Elder Mistreatment Within Stroke Family Caregiving, Carina Katigbak, Wesley R Browning, Sean Savitz, Carolyn E Z Pickering

Faculty, Staff and Student Publications

This secondary data analysis sought to identify characteristics associated with mistreatment among chronic stroke survivors who transition to dementia. We examined baseline data from a multi-time series survey study (n = 453; where caregivers of those with stroke n = 107, and those without stroke, n = 346) on caregiving experiences influencing dementia family caregivers’ abusive or neglectful behaviors. Inferential statistical analysis indicated that baseline mistreatment rates were similar across stroke and non-stroke subgroups, though this finding was not significant. Caregiver depression was significantly associated with mistreatment. Multi-morbidity, prescription medication use, and limited mobility were more common among stroke …

Overexpression And Biophysical And Functional Characterization Of A Recombinant Fgf21, Phuc Phan, Jason Hoang, Thallapuranam Krishnaswamy Suresh Kumar

Chemistry & Biochemistry Faculty Publications and Presentations

Fibroblast growth factor 21 (FGF21) is an endocrine FGF that plays a vital role in regulating essential metabolic pathways. FGF21 increases glucose uptake by cells, promotes fatty acid oxidation, reduces blood glucose levels, and alleviates metabolic diseases. However, detailed studies on its stability and biophysical characteristics have not been reported. Herein, we present the overexpression, biophysical characterization, and metabolic activity of a soluble recombinant FGF21 (rFGF21). The far-UV circular dichroism spectra of rFGF21 show a negative trough at 215 nm, indicating that the protein’s backbone predominantly adopts a β sheet conformation. rFGF21 shows intrinsic tyrosine fluorescence at 305 nm. Thermal …

Comparison Of Deep Learning And Traditional Machine Learning Models For Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers, Kesheng Wang, Donald A. Adjeroh, Wei Fang, Suzy M. Walter, Danqing Xiao, Ubolrat Piamjariyakul, Chun Xu

Health & Biomedical Sciences Faculty Publications

Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer’s disease (AD). This study aimed to compare deep learning (DL) and traditional machine learning (ML) methods in predicting MCI using plasma proteomic biomarkers. A total of 239 adults were selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort along with a pool of 146 plasma proteomic biomarkers. We evaluated seven traditional ML models (support vector machines (SVMs), logistic regression (LR), naïve Bayes (NB), random forest (RF), k-nearest neighbor …

Predicting Chemotherapy Responsiveness In Gastric Cancer Through Machine Learning Analysis Of Genome, Immune, And Neutrophil Signatures, Shota Sasagawa, Yoshitaka Honma, Xinxin Peng, Kazuhiro Maejima, Koji Nagaoka, Yukari Kobayashi, Ayako Oosawa, Todd A Johnson, Yuki Okawa, Han Liang, Kazuhiro Kakimi, Yasuhide Yamada, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Background: Gastric cancer is a major oncological challenge, ranking highly among causes of cancer-related mortality worldwide. This study was initiated to address the variability in patient responses to combination chemotherapy, highlighting the need for personalized treatment strategies based on genomic data.

Methods: We analyzed whole-genome and RNA sequences from biopsy specimens of 65 advanced gastric cancer patients before their chemotherapy treatment. Using machine learning techniques, we developed a model with 123 omics features, such as immune signatures and copy number variations, to predict their chemotherapy outcomes.

Results: The model demonstrated a prediction accuracy of 70-80% in forecasting chemotherapy responses in …

A Neoantigen Vaccine Generates Antitumour Immunity In Renal Cell Carcinoma, David A Braun, Giorgia Moranzoni, Vipheaviny Chea, Bradley A Mcgregor, Eryn Blass, Chloe R Tu, Allison P Vanasse, Cleo Forman, Juliet Forman, Alexander B Afeyan, Nicholas R Schindler, Yiwen Liu, Shuqiang Li, Jackson Southard, Steven L Chang, Michelle S Hirsch, Nicole R Leboeuf, Oriol Olive, Ambica Mehndiratta, Haley Greenslade, Keerthi Shetty, Susan Klaeger, Siranush Sarkizova, Christina B Pedersen, Matthew Mossanen, Isabel Carulli, Anna Tarren, Joseph Duke-Cohan, Alexis A Howard, J Bryan Iorgulescu, Bohoon Shim, Jeremy M Simon, Sabina Signoretti, Jon C Aster, Liudmila Elagina, Steven A Carr, Ignaty Leshchiner, Gad Getz, Stacey Gabriel, Nir Hacohen, Lars R Olsen, Giacomo Oliveira, Donna S Neuberg, Kenneth J Livak, Sachet A Shukla, Edward F Fritsch, Catherine J Wu, Derin B Keskin, Patrick A Ott, Toni K Choueiri

Faculty, Staff and Student Publications

Personalized cancer vaccines (PCVs) can generate circulating immune responses against predicted neoantigens1-6. However, whether such responses can target cancer driver mutations, lead to immune recognition of a patient's tumour and result in clinical activity are largely unknown. These questions are of particular interest for patients who have tumours with a low mutational burden. Here we conducted a phase I trial (ClinicalTrials.gov identifier NCT02950766) to test a neoantigen-targeting PCV in patients with high-risk, fully resected clear cell renal cell carcinoma (RCC; stage III or IV) with or without ipilimumab administered adjacent to the vaccine. At a median follow-up of 40.2 …

Wmh Contributions To Cognitive Impairment: Rationale And Design Of The Diverse Vcid Study, Charles Decarli, Kumar B Rajan, Lee-Way Jin, Jason Hinman, David K Johnson, Danielle Harvey, Myriam Fornage

Faculty, Staff and Student Publications

As awareness of dementia increases, more individuals with minor cognitive complaints are requesting clinical assessment. Neuroimaging studies frequently identify incidental white matter hyperintensities, raising patient concerns about their brain health and future risk for dementia. Moreover, current US demographics indicate that ≈50% of these individuals will be from diverse backgrounds by 2060. Racial and ethnic minority populations bear a disproportionate burden of vascular risk factors magnifying dementia risk. Despite established associations between white matter hyperintensities and cognitive impairment, including dementia, no study has comprehensively and prospectively examined the impact of individual and combined magnetic resonance imaging measures of white matter …

Qsp Modeling Shows Pathological Synergism Between Insulin Resistance And Amyloid-Beta Exposure In Upregulating Vcam1 Expression At The Bbb Endothelium, Zengtao Wang, Vaishnavi Veerareddy, Xiaojiao Tang, Kevin J Thompson, Sunil Krishnan, Krishna R Kalari, Karunya K Kandimalla

Faculty, Staff and Student Publications

Type 2 diabetes mellitus (T2DM), characterized by insulin resistance, is closely associated with Alzheimer's disease (AD). Cerebrovascular dysfunction is manifested in both T2DM and AD, and is often considered as a pathological link between the two diseases. Insulin signaling regulates critical functions of the blood-brain barrier (BBB), and endothelial insulin resistance could lead to BBB dysfunction, aggravating AD pathology. However, insulin signaling is intrinsically dynamic and involves interactions among numerous molecular mediators. Hence, a mechanistic systems biology model is needed to understand how insulin regulates BBB physiology and the consequences of its impairment in T2DM and AD. In this study, …

Ensartinib For Advanced Or Metastatic Non-Small-Cell Lung Cancer With Met Exon 14 Skipping Mutations (Embrace): A Multi-Center, Single-Arm, Phase 2 Trial, Yang Xia, Panwen Tian, Mo Zhou, Jun Zhao, Yang Jin, Zhiyuan Guo, Xiuzhen Li, Weina Lu, Da Miao, Yuefei Lu, Wanting Xu, Yongchang Zhang, Xiuning Le, Wen Li

Faculty, Staff and Student Publications

Background: MET exon14 skipping mutations (METex14) is an established actionable driver oncogene of non-small-cell lung cancer (NSCLC). While ensartinib is a known second-generation tyrosine kinase inhibitor with primary activity against ALK translocation, it is also classified as a type Ia MET inhibitor. We have previously shown anti-tumor activity against METex14 positive NSCLC both in vivo and in vitro. The EMBRACE trial aims to evaluate the clinical efficacy and safety of ensartinib for treatment of METex14 positive NSCLC.

Methods: This is a multicenter single arm phase II investigator-initiated study that enrolled METex14 positive lung cancer …

Safety And Antitumor Activity Of A Novel Acd25 Treg Depleter Rg6292 As A Single Agent And In Combination With Atezolizumab In Patients With Solid Tumors, Valentina Gambardella, Michael Ong, Maria E Rodriguez-Ruiz, Jean-Pascal Machiels, Miguel F Sanmamed, Vladimir Galvao, Anna Spreafico, Daniel J Renouf, Stephen J Luen, Rachel Galot, Bernard Doger De Spéville, Emiliano Calvo, Aung Naing, Samira Curdt, Theresa Maria Kolben, Eva Rossmann, Tamara Tanos, Kevin Smart, Maria Amann, Yuying Xie, Linxinyu Xu, Enrique Gomez Alcaide, Nicolas Städler, Nicole Justies, Christophe Boetsch, Vaios Karanikas, Gabriel Schnetzler, Kristoffer S Rohrberg

Faculty, Staff and Student Publications

Purpose: Therapeutic depletion of immunosuppressive regulatory T cells (Treg) may overcome resistance to cancer immunotherapies. RG6292 is an anti-CD25 antibody that preferentially depletes Tregs while preserving effector T-cell functions in preclinical models. The safety, pharmacokinetics, pharmacodynamics, and antitumor efficacy of selective Treg depletion by RG6292 administered as monotherapy or in combination with atezolizumab were evaluated in two phase I studies.

Patients and methods: Adult patients with advanced solid tumors were administered intravenous RG6292, given every 3 weeks alone (study 1: NCT04158583, n = 76) or with 1,200 mg atezolizumab every 3 weeks (study 2: NCT04642365, n = 49). …

Guidelines For Minimal Reporting Requirements, Design And Interpretation Of Experiments Involving The Use Of Eukaryotic Dual Gene Expression Reporters (Mindr), Gary Loughran, Dmitry E Andreev, Ilya M Terenin, Olivier Namy, Martin Mikl, Martina M Yordanova, C Joel Mcmanus, Andrew E Firth, John F Atkins, Christopher S Fraser, Zoya Ignatova, Shintaro Iwasaki, Joanna Kufel, Ola Larsson, Sebastian A Leidel, Alexander S Mankin, Marco Mariotti, Marvin E Tanenbaum, Ivan Topisirovic, Nora Vázquez-Laslop, Gabriela Viero, Neva Caliskan, Yiwen Chen, Patricia L Clark, Jonathan D Dinman, Philip J Farabaugh, Wendy V Gilbert, Pavel Ivanov, Jeffrey S Kieft, Oliver Mühlemann, Matthew S Sachs, Ivan N Shatsky, Nahum Sonenberg, Anna-Lena Steckelberg, Anne E Willis, Michael T Woodside, Leos Shivaya Valasek, Sergey E Dmitriev, Pavel V Baranov

Faculty, Staff and Student Publications

Dual reporters encoding two distinct proteins within the same mRNA have had a crucial role in identifying and characterizing unconventional mechanisms of eukaryotic translation. These mechanisms include initiation via internal ribosomal entry sites (IRESs), ribosomal frameshifting, stop codon readthrough and reinitiation. This design enables the expression of one reporter to be influenced by the specific mechanism under investigation, while the other reporter serves as an internal control. However, challenges arise when intervening test sequences are placed between these two reporters. Such sequences can inadvertently impact the expression or function of either reporter, independent of translation-related changes, potentially biasing the results. …

Diagnostic Pearls And Pitfalls In The Interpretation Of Small Biopsies And Frozen Sections Of The Pancreatobiliary Tract, Huamin Wang, Olca Basturk

Faculty, Staff and Student Publications

No abstract provided.

Global Review Of Consumer Preferences And Willingness To Pay For Edible Insects And Derived Products, Zewdu Abro, Kibrom T. Sibhatu, Gebeyehu Manie Fetene, Mohammed Hussen Alemu, Chrysantus M. Tanga, Subramanian Sevga, Menale Kassie

All Peer-Reviewed Publications

The rising global demand for protein, driven by population growth, urbanization, economic development, and climate change, underscores the need for sustainable alternative protein sources. Edible insects have emerged as a viable solution to enhance foodfeed and nutritional security while contributing to waste management. This study reviews 128 peer-reviewed publications to assess consumer preferences and willingness to pay (WTP) for edible insects and their derivatives. Findings reveal that studies predominantly focus on Europe and insect-based foods, with limited research on insect-based feeds and derived products. Consumers in Africa, Asia, and Latin America show higher acceptance of insect-based food compared to those …

Genetic Diversity Of Aedes Aegypti Populations From Kisumu And Busia Counties, Western Kenya, And Their Vector Competence For Chikungunya Virus, Victor O. Anyango, Solomon Langat, Francis Mulwa, James Mutisya, Hellen Koka, Collins Okoyo, Edith Chepkorir, Samson Konongoi, Anncarol Karanja, Glennah Kerubo, Rosemary Sang, Joel Lutomiah

All Peer-Reviewed Publications

Aedes aegypti (Ae. aegypti) is the primary vector of several arboviruses, including dengue virus (DENV), chikungunya virus (CHIKV), yellow fever virus (YFV), and Zika virus (ZIKV). This vector is widespread globally in tropical and subtropical areas but also found in temperate areas. Kenya experienced its first chikungunya outbreak in Lamu County in 2004, followed by subsequent outbreaks in Mandera in 2016 and Mombasa in 2017. Despite the presence of Ae. aegypti in Kisumu and Busia counties, no outbreaks of chikungunya fever have been reported in these two western Kenya counties. To investigate this phenomenon, we collected Ae. aegypti mosquitoes from …

Nebraska Ornithologists’ Union Treasurer’S Report, December 31, 2024, Jan Johnson

Nebraska Bird Review

No abstract provided.

Advances Towards A Robotic Management Vehicle Suited To Nurse Row Crops To More Efficient Outcomes, Adam Mk Gronewold

Dartmouth College Ph.D Dissertations

Enhancing agricultural production while reducing input costs remains a central challenge in modern row-crop management. Recent advances in computation, imagery, and sensors are enabling more efficient practices across various agricultural domains, and automation technologies are increasingly available to manage tasks central to perennial crop development. Automation in row-crop agriculture, by contrast, lags behind. This thesis explores utilizing small, unmanned ground vehicles to transform row cropping through the implementation of unconventional, in-season management strategies. The first focus of this work considers improvements to nitrogen fertilization using small, autonomous vehicles. An agronomy experiment in corn assessed the effects of gradually applying nitrogen …