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Foliar Diseases And Their Management In Lupins, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

This factsheet describes symptoms and management of the major fungal and viral diseases affecting lupin foliage, stems, and pods. Several of these diseases have the capacity to cause significant losses if not managed effectively.

Inoculum can be carried in soil, seed, stubble, on green regrowth, or by insect vectors, depending on the disease. Therefore, an integrated approach to disease management is required using tactics such as crop rotation, stubble management, fungicide seed dressing, variety selection, and seed testing

Artificial Intelligence In Orthopaedic Education: A Comparative Analysis Of Chatgpt And Bing Ai’S Orthopaedic In-Training Examination Performance, Clark Chen, Vivek Biololikar, Duncan Vannest, James Raphael, Gene Shaffer

Einstein Health Papers

Background: This study evaluated the performance of generative artificial intelligence (AI) models on the Orthopaedic In-Training Examination (OITE), an annual exam administered to U.S. orthopaedic residency programs. Methods: ChatGPT 3.5 and Bing AI GPT 4.0 were evaluated on standardised sets of multiple-choice questions drawn from the American Academy of Orthopaedic Surgeons OITE online question bank spanning 5 years (2018–2022). A total of 1165 questions were posed to each AI system. The performance of both systems was standardised using the latest versions of ChatGPT 3.5 and Bing AI GPT 4.0. Historical data of resident scores taken from the annual OITE technical …

Tuberculosis Prevention: Current Strategies And Future Directions, Yohhei Hamada, Tara Ness, Alexander Kay, Maryline Bonnet, Martina Sester, Stefan H E Kaufmann, Christoph Lange, Anna M Mandalakas

Faculty, Staff and Students Publications

BACKGROUND: An estimated one fourth of the world's population is infected with Mycobacterium tuberculosis, and 5-10% of those infected develop tuberculosis in their lifetime. Preventing tuberculosis is one of the most underutilized but essential components of curtailing the tuberculosis epidemic. Moreover, current evidence illustrates that tuberculosis manifestations occur along a dynamic spectrum from infection to disease rather than a binary state as historically conceptualized. Elucidating determinants of transition between these states is crucial to decreasing the tuberculosis burden and reaching the END-TB Strategy goals as defined by the WHO. Vaccination, detection of infection, and provision of preventive treatment are key …

Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.

OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.

MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …

Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu

Faculty, Staff and Student Publications

OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.

MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …

Performance Of 5 Prominent Large Language Models In Surgical Knowledge Evaluation: A Comparative Analysis, Adam M. Ostrovsky, Joshua R. Chen, Vishal N. Shah, Babak Abai

Department of Surgery Faculty Papers

No abstract provided.

Nanoscale Gold Nanoparticle (Gnp)-Laden Tumor Cell Model And Its Use For Estimation Of Intracellular Dose From Gnp-Induced Secondary Electrons, Sandun Jayarathna, Amrit Kaphle, Sunil Krishnan, Sang Hyun Cho

Faculty, Staff and Student Publications

Background: Gold nanoparticles (GNPs) accumulated within tumor cells have been shown to sensitize tumors to radiotherapy. From a physics point of view, the observed GNP-mediated radiosensitization is due to various downstream effects of the secondary electron (SE) production from internalized GNPs such as GNP-mediated dose enhancement. Over the years, numerous computational investigations on GNP-mediated dose enhancement/radiosensitization have been conducted. However, such investigations have relied mostly on simple cellular geometry models and/or artificial GNP distributions. Thus, it is at least desirable, if not necessary, to conduct further investigations using cellular geometry models that properly reflect realistic cell morphology as well as …

Mechanisms That Clear Mutations Drive Field Cancerization In Mammary Tissue, Marta Ciwinska, Hendrik A Messal, Hristina R Hristova, Catrin Lutz, Laura Bornes, Rolf Harkes, Stefan J Hutten, Renée X Menezes, Jos Jonkers, Stefan Prekovic, Grand Challenge Precision Consortium, Benjamin D Simons, Colinda L G J Scheele, Jacco Van Rheenen

Faculty, Staff and Student Publications

Oncogenic mutations are abundant in the tissues of healthy individuals, but rarely form tumours1-3. Yet, the underlying protection mechanisms are largely unknown. To resolve these mechanisms in mouse mammary tissue, we use lineage tracing to map the fate of wild-type and Brca1-/-;Trp53-/- cells, and find that both follow a similar pattern of loss and spread within ducts. Clonal analysis reveals that ducts consist of small repetitive units of self-renewing cells that give rise to short-lived descendants. This offers a first layer of protection as any descendants, including oncogenic mutant cells, are constantly lost, thereby limiting the spread of mutations to …

An Analysis Of Suspected Microplastics In The Muscle And Gastrointestinal Tissues Of Fish From Sarasota Bay, Fl: Exposure And Implications For Apex Predators And Seafood Consumers, Eric Conger, Miranda Dziobak, Elizabeth J Berens Mccabe, Tita Curtin, Ayushi Gaur, John E Weinstein

Faculty, Staff and Student Publications

Microplastics have been found in the gastrointestinal (GI) fluid of bottlenose dolphins (Tursiops truncatus), inhabiting Sarasota Bay, FL, suggesting exposure by ingestion, possibly via contaminated fish. To better understand the potential for trophic transfer, muscle and GI tissues from 11 species of dolphin prey fish collected from Sarasota Bay were screened for microplastics (particles <5 mm diameter). Suspected microplastics were found in 82% of muscle samples (n=89), and 97% of GI samples (n=86). Particle abundance and shapes varied by species (p<0.05) and foraging habit (omnivore vs. carnivore, p<0.05). Pinfish (Lagodon rhomboides) had the highest particle abundance for both tissue types (muscle: 0.38 …

Image-Guided Patient-Specific Optimization Of Catheter Placement For Convection-Enhanced Nanoparticle Delivery In Recurrent Glioblastoma, Chengyue Wu, David A Hormuth, Chase D Christenson, Ryan T Woodall, Michael R A Abdelmalik, Thomas J R Hughes, Thomas E Yankeelov

Faculty, Staff and Student Publications

Background: Proper catheter placement for convection-enhanced delivery (CED) is required to maximize tumor coverage and minimize exposure to healthy tissue. We developed an image-based model to patient-specifically optimize the catheter placement for rhenium-186 (186Re)-nanoliposomes (RNL) delivery to treat recurrent glioblastoma (rGBM).

Methods: The model consists of the 1) fluid fields generated via catheter infusion, 2) dynamic transport of RNL, and 3) transforming RNL concentration to the SPECT signal. Patient-specific tissue geometries were assigned from pre-delivery MRIs. Model parameters were personalized with either 1) individual-based calibration with longitudinal SPECT images, or 2) population-based assignment via leave-one-out cross-validation. The concordance correlation coefficient …

Panel Stacking Is A Threat To Consensus Statement Validity, Kasper P Kepp, Preben Aavitsland, Marcel Ballin, Francois Balloux, Stefan Baral, Howard Bauchner, Raj Bhopal, Daniel T Blumstein, Paolo Boffetta, Florence Bourgeois, Adam Brufsky, Peter J Collignon, Sally Cripps, Ioana A Cristea, Nigel Curtis, Benjamin Djulbegovic, Oliver Faude, Maria Elena Flacco, Gordon H Guyatt, George Hajishengallis, Lars G Hemkens, Tammy Hoffmann, Ari R Joffe, Terry P Klassen, Despina Koletsi, Dimitrios P Kontoyiannis, Ellen Kuhl, Carlo La Vecchia, Tea Lallukka, John Lambris, Michael Levitt, Spyros Makridakis, Helena C Maltezou, Lamberto Manzoli, Ana Marusic, Clio Mavragani, David Moher, Ben W Mol, Taulant Muka, Florian Naudet, Paul W Noble, Anna Nordström, Peter Nordström, Nikolaos Pandis, Stefania Papatheodorou, Chirag J Patel, Irene Petersen, Stefan Pilz, Nikolaus Plesnila, Anne-Louise Ponsonby, Manuel A Rivas, Andrea Saltelli, Manuel Schabus, Michaéla C Schippers, Holger Schünemann, Marco Solmi, Andreas Stang, Hendrik Streeck, Joachim P Sturmberg, Lehana Thabane, Brett D Thombs, Athanasios Tsakris, Simon N Wood, John P A Ioannidis

Faculty, Staff and Student Publications

Consensus statements can be very influential in medicine and public health. Some of these statements use systematic evidence synthesis but others fail on this front. Many consensus statements use panels of experts to deduce perceived consensus through Delphi processes. We argue that stacking of panel members toward one particular position or narrative is a major threat, especially in absence of systematic evidence review. Stacking may involve financial conflicts of interest, but nonfinancial conflicts of strong advocacy can also cause major bias. Given their emerging importance, we describe here how such consensus statements may be misleading, by analyzing in depth a …

Multi-Scale Variational Autoencoder For Imputation Of Missing Values In Untargeted Metabolomics Using Whole-Genome Sequencing Data, Chen Zhao, Kuan-Jui Su, Chong Wu, Xuewei Cao, Qiuying Sha, Zhe Luo, Chuan Qiu, Lan Juan Zhao, Anqi Liu, Lindong Jiang, Xiao Zhang, Hui Shen, Weihua Zhou, Hong-Wen Deng

Faculty, Staff and Student Publications

Background: Missing data is a common challenge in mass spectrometry-based metabolomics, which can lead to biased and incomplete analyses. The integration of whole-genome sequencing (WGS) data with metabolomics data has emerged as a promising approach to enhance the accuracy of data imputation in metabolomics studies.

Method: In this study, we propose a novel method that leverages the information from WGS data and reference metabolites to impute unknown metabolites. Our approach utilizes a multi-scale variational autoencoder to jointly model the burden score, polygenetic risk score (PGS), and linkage disequilibrium (LD) pruned single nucleotide polymorphisms (SNPs) for feature extraction and missing metabolomics …

The Epigenetic Impact Of Dietary Choline On Growth Outcomes Of Children Exposed To Gestational Diabetes Mellitus, Ismail Kadam

Dissertations, Theses, and Capstone Projects

Maternal insulin resistance and hyperglycemia lead to gestational diabetes mellitus (GDM) which can cause fetal hyperinsulinemia, ultimately leading to excessive fetal growth associated with macrosomia and increased adiposity at birth. Increased placental macronutrient transport and epigenetic changes in growth and metabolic genes affected by GDM contribute to fetal overgrowth and can result in complications such as overweight/obesity, insulin resistance/type 2 diabetes, cardiovascular disease risk factors, as well as cognitive impairment later in life. Choline, an essential nutrient, participates in lipid and energy metabolism by providing methyl groups for DNA methylation and thus may overcome the hypomethylation of growth and metabolic …

Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang

Faculty, Staff and Student Publications

Objectives: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, and large pre-training datasets to perform a wide spectrum of natural language processing (NLP) tasks. Using a few examples (few-shot) or no examples (zero-shot) for prompt-tuning has enabled LLMs to achieve state-of-the-art performance in a broad range of NLP applications. This article by the American Medical Informatics Association (AMIA) NLP Working Group characterizes the opportunities, challenges, and best practices for our community to leverage and advance the integration of …

Diabetes Technology Meeting 2023, Tiffany Tian, Rachel E Aaron, Ashley Y Dunova, Johan H Jendle, David Kerr, Eda Cengiz, Andjela Drincic, John C Pickup, Kong Y Chen, Naomi Schwartz, Douglas B Muchmore, Halis K Akturk, Carol J Levy, Signe Schmidt, Riccardo Bellazzi, Alan H B Wu, Elias K Spanakis, Bijan Najafi, James Geoffrey Chase, Jane Jeffrie Seley, David C Klonoff

Center on Aging Staff Publications

Diabetes Technology Society hosted its annual Diabetes Technology Meeting from November 1 to November 4, 2023. Meeting topics included digital health; metrics of glycemia; the integration of glucose and insulin data into the electronic health record; technologies for insulin pumps, blood glucose monitors, and continuous glucose monitors; diabetes drugs and analytes; skin physiology; regulation of diabetes devices and drugs; and data science, artificial intelligence, and machine learning. A live demonstration of a personalized carbohydrate dispenser for people with diabetes was presented.

Large Deviation Theory In Stochastic Processes: Applications To Biological Modeling, Moshe C. Silverstein

Dissertations

This dissertation delves into developing and applying stochastic models to analyze complex biological systems. It leverages Large Deviation Theory (LDT) to gain insights into these systems, focusing on two key examples: neural networks and calcium signaling dynamics. Traditional deterministic methods frequently fail to capture biological processes' randomness and inherent variability. Meanwhile, many stochastic approaches struggle to be mathematically tractable or provide accessible insights. The approach introduced in this study provides rigorous mathematical frameworks to enhance understanding of these stochastic behaviors while remaining tractable and insightful.

A stochastic model for a random biological neural network is constructed that addresses the dependencies …

Investigations On V2o5 And Its Derivative Nanocomposites For Photocatalytic Textile Organic Dye Degradation, Jenifer A

Theses and Dissertations

In recent times, organic dyes from industrial sludge become one of the significant causes of water contamination due to their utility in textile and paper manufacturing industries. These organic dyes are highly toxic and carcinogenic. Fortunately, the photocatalytic degradation process is a practical tool for decomposing toxic organic matter in wastewater by utilizing light. The photodegradation process can be performed using semiconductor materials to purify wastewater. Thus, semiconductor photocatalysis is a desirable alternative technique for decolorizing various organic pollutants.

In this context, the present work reports the preparation and characterization of V2O5 nanocomposites by facile methods and tests them against …

About Premedical Programs 2024-25, University Of Dayton

Pre-Health Resource Center Campus Communications

No abstract provided.

Developing An Ordered Logistics Regression Model For Denture Hygiene Among Elderly In Residential Care Homes, Wan Muhamad Amir W Ahmad, Ruhana Hasan, Mohamad Nasarudin Adnan, Farah Muna Mohamad Ghazali, Hazik Bin Shahzad, Nor Azlida Aleng, Mohamad Shafiq Mohd Ibrahim

Journal of Dentistry Indonesia

With a global aging population, the oral hygiene of elderly individuals in institutional settings requires unique management. Maintaining adequate denture hygiene is a critical aspect of their overall well-being, while neglecting denture hygiene can lead to various oral health issues, malnutrition, and further impacting their overall health. Objective: This paper aims to provide a preliminary overview of denture hygiene care among the elderly using an ordered logistics model. Methods: Data was obtained from 174 participants in two government institutional homes in Malaysia. The Principle Components Analysis (PCA) was used to identify significant variables and an ordered logistic model …

Effect Of Inulin From Dahlia Tubers (Dahlia Variabilis) Extract On Insulitis Severity And Insulin Expression In Diabetic Rats, Ismawati Ismawati, Saryono Saryono, Mukhyarjon Mukhyarjon, Ilhami Romus, Veni Dayu Putri, Sri Yanti, Fitri Dyna, Nada Idzdihari Adesti

BioMedicine

Background: Dahlia (Dahlia variabilis), a widely cultivated ornamental plant in Indonesia, is known to contain 84.08% inulin in its tubers. Numerous studies have demonstrated the antidiabetic potential of inulin from various plant sources. However, most of the research is in the form of a mixture of inulin with other active substances, and no one has analyzed the effects of inulin derived from dahlia tubers. This study examines the effect of inulin from dahlia tuber extract on blood glucose levels, serum insulin expression, pancreatic tissue insulin expression, homeostatic model assessment of insulin resistance (HOMA-IR), and the extent of …

Postpartum Depression Screening In The Neonatal Intensive Care Unit At A Tertiary Pediatric Hospital, Abbie Bates

Doctor of Nursing Practice Final Manuscripts

POSTPARTUM DEPRESSION SCREENING IN THE NEONATAL INTENSIVE CARE UNIT AT A TERTIARY PEDICTRIC HOSPITAL

By

Abbie Kim Bates

Razel Bacuetes Milo, PH.D. DNP., FNP-C

Background: Postpartum depression (PPD) is a treatable mood disorder with an onset at 1-3 months after childbirth. In the United States, PPD occurs at a rate of 1 in 8 women and as high as 1 in 5 women in parts of the country. In unique populations such as the neonatal intensive care unit (NICU), PPD rates can be as high as 40%. The treatment rate for PPD is 50% with a sizable percentage of …

About Premedical Programs At Ud, 2024-25, Udayton

Pre-Health Resource Center Campus Communications

No abstract provided.

Unveiling Environmental Justice In Two Us Cities Through Greenspace Accessibility And Visible Greenness Exposure, Md Shahinoor Rahman, Mahbubur Meenar, S. M. Labib, Ted Howell, Deepti Adlakha, Ben Woodward

School of Public Health Faculty Publications

Uneven access to greenspaces or visible greenness is an environmental justice (EJ) issue. In this paper, we use a social equity lens to develop geospatial models that measure convenient walking access to urban greenspaces such as parks and street-level green exposure en route to greenspaces. We utilized earth science, geospatial, and demographic datasets to develop two models—Greenspace Accessibility and Visible Greenness Exposure—and applied them in Camden and Jersey City, USA, two communities experiencing environmental injustices. Modeling results show that greenspace accessibility is a concern in both cities, with Jersey City experiencing more prominent disparities. We observed significant positive relationships in …

Deployment-Related Cigarette Smoking Behaviors And Pulmonary Function Among Us Veterans, Anna M Korpak, Nicholas L Smith, Karen S Nakayama, Coleen P Baird, Paul Ciminera, Farrah Kheradmand, Vincent S Fan, Jaime E Hart, Petros Koutrakis, Michael Jerrett, Ware G Kuschner, Octavian C Ioachimescu, Philippe R Montgrain, Susan P Proctor, Carrie A Redlich, Christine H Wendt, Paul D Blanc, Eric Garshick, Emily S Wan

Faculty, Staff and Students Publications

Introduction: The effects of smoking on lung function among post-9/11 Veterans deployed to environments with high levels of ambient particulate matter are incompletely understood.

Materials and methods: We analyzed interim data (04/2018-03/2020) from the Veterans Affairs (VA) Cooperative Studies Program #595, "Service and Health Among Deployed Veterans". Veterans with ≥1 land-based deployments enrolled at 1 of 6 regional Veterans Affairs sites completed questionnaires and spirometry. Multivariable linear regression models assessed associations between cigarette smoking (cumulative, deployment-related and non-deployment-related) with pulmonary function.

Results: Among 1,836 participants (mean age 40.7 ± 9.6, 88.6% male), 44.8% (n = 822) were ever-smokers (mean age …

Relationship Between Academic Burnout And Academic Resilience Manifest In Prospective Counselors During The New Normal Era, Indriyana Rachmawati, Moh Farozin, Agus Basuki

Jurnal Kajian Bimbingan dan Konseling

Academic resilience has become an interesting topic of discussion as a result of the increase in academic burnout experienced by prospective counselors recently as a result of increasing academic assignments. Prospective counselors who experience academic burnout generally have poor academic resilience because they feel tired or bored with academic tasks while still studying, and this has an impact on the resulting performance. This research aims to determine the relationship between academic burnout and the academic resilience of prospective counselors. We used a quantitative research method, employing a correlation research design, to reveal the relationship between the two. The research sample …

Work Readiness Of Final Year Students Observed From Grit And Career Adaptability, Vivianora Diva, Pratista Arya Satwika

Jurnal Kajian Bimbingan dan Konseling

Universities are obliged to prepare graduates of the highest caliber and ensure that their qualifications align with the requirements of the professional world. Therefore, it is essential for them to equip students with the necessary skills and knowledge before they enter the workforce. Nevertheless, a considerable number of students remain inadequately prepared for the demands of the workplace. The capacity to persevere and adapt to new circumstances are two key attributes that can influence an individual's preparedness for professional roles. This study aims to ascertain the relationship between grit and career adaptability with the work readiness of final-year students. This …

Special Supplement Issue On Quality Assurance And Enrichment Of Biological And Biomedical Ontologies And Terminologies

Faculty, Staff and Student Publications

Ontologies and terminologies serve as the backbone of knowledge representation in biomedical domains, facilitating data integration, interoperability, and semantic understanding across diverse applications. However, the quality assurance and enrichment of these resources remain an ongoing challenge due to the dynamic nature of biomedical knowledge. In this editorial, we provide an introductory summary of seven articles included in this special supplement issue for quality assurance and enrichment of biological and biomedical ontologies and terminologies. These articles span a spectrum of topics, such as development of automated quality assessment frameworks for Resource Description Framework (RDF) resources, identification of missing concepts in SNOMED …

Diabetes Health Literacy, Diabetes Numeracy, And Cognitive Function As Predictors Of Type 2 Diabetes Mellitus Self-Management, Twinkle Gupta

Doctoral Dissertations and Projects

The present study assessed older adults (≥ 45 years old) diabetes health literacy, diabetes numeracy, cognitive function, and its association with their Type 2 Diabetes Mellitus (T2DM) self-management outcomes. These factors are of concern as diabetes is a lifelong condition affecting the body’s conversion of food into energy and may lead to complications and comorbidities if this condition is not properly self-managed. Diabetes health literacy refers to having the necessary capabilities in finding and analyzing diabetes-related information to make informed decisions regarding their health. Numeracy in diabetes has to do with being able to compute diabetes-related math such as insulin …

Advancing Endovascular Neurosurgery Training With Extended Reality: Opportunities And Obstacles For The Next Decade, Shray Patel, Michael Covell, Saarang Patel, Sandeep Kandregula, Sai Krishna Palepu, Avi Gajjar, Oleg Shekhtman, Georgios Sioutas, Ali Dhanaliwala, Terence Gade, Jan-Karl Burkhardt, Visish Srinivasan

SKMC Student Presentations and Publications

Background: Extended reality (XR) includes augmented reality (AR), virtual reality (VR), and mixed reality (MR). Endovascular neurosurgery is uniquely positioned to benefit from XR due to the complexity of cerebrovascular imaging. Given the different XR modalities available, as well as unclear clinical utility and technical capabilities, we clarify opportunities and obstacles for XR in training vascular neurosurgeons. Methods: A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted. Studies were critically appraised using ROBINS-I. Results: 19 studies were identified. 13 studies used VR, while 3 studies used MR, and 3 studies used AR. …

08.26.2024 Ored Connect, Liz Williamson

ORED Newsletter

Research reception

Small Business Innovation Research and STTR lunch and learn with Paul Cox, consultant.

Use olemiss.edu email addresses when submitting SPAN and ARC forms

Army STTR: Resources for RIs