Digital Commons Network^™

Improving Inpatient Hyperglycaemia In Non-Critically Ill Adults In Resident Wards Through Audit And Feedback, Chelsea H. Chang, Alcibiades Fleires, Alfarooq Alshaikhli, Hector Arredondo, Diana Gavilanes, Francisco J. Cabral-Amador, Jonathon Cantu, Daniela Bazan, Kathryn Oliveira Oliveira, Rene Verduzco, Lina Pedraza Sanchez

School of Medicine Publications

Inpatient hyperglycaemia is associated with an increase in morbidity and mortality, number of rehospitalisations and length of hospitalisation. Although the advantages of proper glycaemic control in hospitalised patients with diabetes are well established, a variety of barriers limit accomplishment of blood glucose targets. Our primary aim was to decrease the number of glucose values above 180 mg/dL in non-critical care hospitalised patients using an audit and feedback intervention with pharmacy and internal medicine residents. A resident-led multidisciplinary team implemented the quality improvement (QI) project including conception, literature review, educating residents, iterative development of audit and feedback tools and data analysis. …

Identification Of Quantitative Trait Loci (Qtl) For Sucrose And Protein Content In Soybean Seed, Daniel R. Jamison, Pengyin Chen, Navam Hettiarachchy, David M. Miller, Ehsanollah Shakiba

Food Science Faculty Publications and Presentations

Protein and sugar content are important seed quality traits in soybean because they improve the value and sustainability of soy food and feed products. Thus, identifying Quantitative Trait Loci (QTL) for soybean seed protein and sugar content can benefit plant breeders and the soybean market by accelerating the breeding process via marker-assisted selection. For this study, a population of recombinant inbred lines (RILs) was developed from a cross between R08-3221 (high protein and low sucrose) and R07-2000 (high sucrose and low protein). Phenotypic data for protein content were taken from the F2:4 and F2:5 generations. The DA7250 NIR analyzer and …

A Phenomenological Study Of School Psychologists: The Influence Of Implicit Bias On The Disproportionate Identification Rates Of African American Students Evaluated For Emotional Disturbance, Sonya Coe-Milo

Electronic Theses and Dissertations

As advocates, school psychologists remain ethically responsible and uniquely positioned to identify social injustices and promote nondiscriminatory practices in prekindergarten through grade 12 public education institutions. Implicit bias and its influence on African American students is one such practice. In public education, implicit bias contributes to discipline disproportionality, differentiated teacher support, pedagogical practices, and adult perceptions and expectations of appropriate and inappropriate behaviors. These factors directly correlate to the disproportionate identification rates of African American students for special education and related services. Therefore, this phenomenological qualitative study examined the personal, lived experiences and perceptions of school psychologists regarding implicit bias …

Community-Engaged Pedagogy For Equitable Hsi Teacher Preparation: Bridging Community, School, And University Cultures, Pauli Badenhorst, Sandra I. Musanti, Veronica L. Estrada, Patricia Robles, Amy Montoya

Teaching and Learning Faculty Publications

Drawing on interview data collected as part of a qualitative study among thirty-two local educators and community advocates in the borderlands context of the Lower Rio Grande Valley (RGV), we inquire about the fundamental characteristics of being a community-engaged teacher for sustainable and equitable Latinx student teaching and learning. The ultimate purpose is to collectively develop a model of community-engaged pedagogy that will bridge school and university cultures. Based on our findings, a community-engaged teacher preparation approach should prioritize that teacher candidates can establish rapport and relationship with students and their families; grapple with the contradictions entrenched in a prevalent …

Meeting Report On The 3rd Chinese American Society For Mass Spectrometry Conference-Advancing Biological And Pharmaceutical Mass Spectrometry, Hao Chen, Yunlin Fu, Mei Han, Xianlin Han, Ling Hao, Tao Huan, Lan Huang, Ming Huang, Qin Ji, Tao Jiang, Yong Jiang, Liang Li, Lingjun Li, Xiaorong Liang, Mamie Lih, Yanping Lin, Xiaowen Liu, Tao Liu, Yansheng Liu, Shuguang Ma, Junmin Peng, Yue A Qi, Jun Qu, Wilson Shou, Liangliang Sun, Mingxun Wang, Shuai Wang, Ronghu Wu, Si Wu, Xin Yan, Jun Yang, Weiming Yang, Zhibo Yang, Yonghao Yu, Hui Zhang, Hui Zhang, Shouxun Zhao, Jiangjiang Zhu, Ying Zhu, Yinsheng Wang, Naidong Weng

Faculty, Staff and Student Publications

Following the highly successful Chinese American Society for Mass Spectrometry (CASMS) conferences in the previous 2 years, the 3rd CASMS Conference was held virtually on August 28–31, 2023, using the Gather. Town platform to bring together scientists in the MS field. The conference offered a 4-day agenda with a scientific program consisting of two plenary lectures, and 14 parallel symposia in which a total of 70 speakers presented technological innovations and their applications in proteomics and biological MS and metabo-lipidomics and pharmaceutical MS. In addition, 16 invited speakers/panelists presented at two research-focused and three career development workshops. Moreover, 86 posters, …

A Scoping Review Of Fair Machine Learning Techniques When Using Real-World Data, Yu Huang, Jingchuan Guo, Wei-Han Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian

Faculty, Staff and Student Publications

Objective: The integration of artificial intelligence (AI) and machine learning (ML) in health care to aid clinical decisions is widespread. However, as AI and ML take important roles in health care, there are concerns about AI and ML associated fairness and bias. That is, an AI tool may have a disparate impact, with its benefits and drawbacks unevenly distributed across societal strata and subpopulations, potentially exacerbating existing health inequities. Thus, the objectives of this scoping review were to summarize existing literature and identify gaps in the topic of tackling algorithmic bias and optimizing fairness in AI/ML models using real-world data …

Spec: A Soft Prompt-Based Calibration On Performance Variability Of Large Language Model In Clinical Notes Summarization, Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes. These records are crucial for enabling healthcare providers to make well-informed decisions regarding patient care. Summarizing clinical notes further assists healthcare professionals in pinpointing potential health risks and making better-informed decisions. This process contributes to reducing errors and enhancing patient outcomes by ensuring providers have access to the most pertinent and current patient data. Recent research has shown that incorporating instruction prompts with large language models (LLMs) substantially boosts the efficacy of summarization tasks. However, we show that this approach also …

The Lymphoma Epidemiology Of Outcomes Cohort Study: Design, Baseline Characteristics, And Early Outcomes, James R Cerhan, Matthew J Maurer, Brian K Link, Andrew L Feldman, Thomas M Habermann, David L Jaye, W Richard Burack, Timothy J Mcdonnell, Francisco Vega, Jennifer R Chapman, Sergei Syrbu, Kiran R Vij, Giorgio Inghirami, John P Leonard, Leon Bernal-Mizrachi, Umar Farooq, Thomas E Witzig, George J Weiner, Yucai Wang, Juan P Alderuccio, Susan L Slager, Melissa C Larson, Shaun M Riska, Brianna J Gysbers, Julianne J Lunde, Tanner W Reicks, Amy A Ayers, Colin B O'Leary, Kathleen J Yost, Hongfang Liu, Grzegorz S Nowakowski, Jia Ruan, Dai Chihara, Jean L Koff, Carla Casulo, Carrie A Thompson, Jonathon B Cohen, Brad S Kahl, Loretta J Nastoupil, Izidore S Lossos, Jonathan W Friedberg, Peter Martin, Christopher R Flowers

Faculty, Staff and Student Publications

To address the current and long-term unmet health needs of the growing population of non-Hodgkin lymphoma (NHL) patients, we established the Lymphoma Epidemiology of Outcomes (LEO) cohort study (NCT02736357; https://leocohort.org/). A total of 7735 newly diagnosed patients aged 18 years and older with NHL were prospectively enrolled from 7/1/2015 to 5/31/2020 at 8 academic centers in the United States. The median age at diagnosis was 62 years (range, 18-99). Participants came from 49 US states and included 538 Black/African-Americans (AA), 822 Hispanics (regardless of race), 3386 women, 716 age <40 >years, and 1513 rural residents. At study baseline, we abstracted clinical, …

Decoding Surgical Skill: An Objective And Efficient Algorithm For Surgical Skill Classification Based On Surgical Gesture Features -Experimental Studies, Zixin Chen, Dewei Yang, Ang Li, Louzong Sun, Jifan Zhao, Jie Liu, Linxun Liu, Xiaobo Zhou, Yonghua Chen, Yunqiang Cai, Zhong Wu, Ke Cheng, He Cai, Ming Tang, Bing Peng, Xin Wang

Faculty, Staff and Student Publications

BACKGROUND: Various surgical skills lead to differences in patient outcomes and identifying poorly skilled surgeons with constructive feedback contributes to surgical quality improvement. The aim of the study was to develop an algorithm for evaluating surgical skills in laparoscopic cholecystectomy based on the features of elementary functional surgical gestures (Surgestures).

MATERIALS AND METHODS: Seventy-five laparoscopic cholecystectomy videos were collected from 33 surgeons in five hospitals. The phase of mobilization hepatocystic triangle and gallbladder dissection from the liver bed of each video were annotated with 14 Surgestures. The videos were grouped into competent and incompetent based on the quantiles of modified …

Accuracy And Surface Roughness Of Co-Cr Partial Denture Frameworks With Different Digital Fabrication Methods, Islam Heiba

Dentistry

Statement of problem. Traditional removable partial denture (RPD) manufacture is being phased out in favor of computer-aided design and computer-aided manufacturing (CAD-CAM) techniques and rapid prototyping (RP), which provide more efficient methods of producing RPD frameworks. However, studies comparing the accuracy and surface roughness of these approaches on RPD frameworks are still scarce. Purpose. The purpose of this in vitro study was to evaluate the accuracy and surface roughness of class I cobalt chromium (Co-Cr) removable partial denture frameworks digitally constructed using 2 different CAD-CAM technologies: direct milling (DM) and selective laser melting (SLM). Material and methods. An educational maxillary …

Risk Of Malignancy In Renal Biopsy: A Review, Andrew Renshaw

All Publications

The risks of malignancy for cytologic categories in renal biopsy specimens differ from the risks in most other sites. There are obvious areas in which cytopathologists can do better at classifying these cases, and the routine use of immunohistochemistry and core-needle biopsy may improve the accuracy of the classification of these specimens.

Wavelength-Induced Shedding Frequency Modulation Of Seal Whisker Inspired Cylinders, Trevor Dunt, Kirby S. Heck, Kathleen Lyons, Christin Murphy, Raul Bayoan Cal, Jennifer A. Franck

Mechanical and Materials Engineering Faculty Publications and Presentations

The spanwise undulated cylinder geometry inspired by seal whiskers has been shown to alter shedding frequency and reduce fluid forces significantly compared to smooth cylindrical geometry. Undulation wavelength is systematically investigated in order to explore its effect on unsteady lift force and shedding frequency. Prior research has parameterized the whisker-inspired geometry and demonstrated the relevance of geometric variations on force reduction properties. Among the geometric parameters, undulation wavelength was identified as a significant contributor to forcing changes. To analyze the effect of undulation wavelength, a thorough investigation isolating changes in wavelength is performed to expand upon previous research that parameterized …

Barriers And Best Practices On The Management Of Opioid Use Disorder, Michelle Krichbaum

All Publications

Opioids refer to chemicals that agonize opioid receptors in the body resulting in analgesia and sometimes, euphoria. Opiates include morphine and codeine; semi-synthetic opioids include heroin, hydrocodone, oxycodone, and buprenorphine; and fully synthetic opioids include tramadol, fentanyl and methadone. In 2021, an estimated 5.6 million individuals met criteria for opioid use disorder. This article provides an overview of the pharmacology of heroin and non-prescription fentanyl (NPF) and its synthetic analogues, and summarizes the literature related to the management of opioid use disorder, overdose, and withdrawal. This is followed by a description of barriers to treatment and best practices for management …

Current And Future Approaches To Pediatric Anxiety Disorder Treatment, André Zugman, Anderson M. Winkler, Purnima Qamar, Daniel Samuel Pine

School of Medicine Publications

This overview critically appraises the literature on the treatment of pediatric anxiety disorders. The two established treatments for these conditions comprise cognitive-behavioral therapy (CBT) and antidepressant medications. Many youths receiving these treatments fail to achieve remission, which creates a need for new treatments. After summarizing the literature on CBT and currently available medications, the authors describe research that lays a foundation for improvements in the treatment of pediatric anxiety disorders. This foundation leverages neuroscientific investigations, also described in the overview, which provide insights on mechanisms of successful treatment.

Optimization Of Triangular Neutrosophic Based Economic Order Quantity Model Under Preservation Technology And Power Demand With Shortages, S. Loganayaki, N. Rajeswari, K. Kirupa, S. Broumi

Neutrosophic Sets and Systems

The primary objective of this article is to develop a mathematical model and determine the optimal policies of an inventory system involving power demand and controlled deterioration through preservation technology. This model comes in handy in a power demand-oriented inventory system with demand high at the end of the period. The model incorporates backlogged shortages and linear holding cost. The triangular neutrosophic numbers (TNN’s) are used for a nuanced representation of uncertain and imprecise inventory-related expenses. An efficient algorithm is constructed to minimize the total cost, and obtain optimal positive inventory time, optimum cycle time and minimum preservation technology investment. …

Enhancing Medical Image Quality Using Neutrosophic Fuzzy Domain And Multi-Level Enhancement Transforms: A Comparative Study For Leukemia Detection And Classification, A. A. Salama, Mahmoud Y. Shams, Huda E. Khalid, Doaa E. Mousa

Neutrosophic Sets and Systems

Medical image processing has become a critical research area due to the vast amounts of digital image data available. However, medical images often suffer from poor illumination and low visibility of significant structures, requiring image enhancement to improve image quality before processing. In this paper, we propose a technique for enhancing medical images by removing noise and improving contrast based on three different enhancing transforms. The proposed technique embeds the image into a neutrosophic fuzzy domain, where it is mapped into three different levels of trueness, falseness, and indeterminacy, and each level is processed individually using the enhancement transforms. We …

A Novel Method For Solving The Time-Dependent Shortest Path Problem Under Bipolar Neutrosophic Fuzzy Arc Values, Vidhya K, Saraswathi A, Broumi Said

Neutrosophic Sets and Systems

The Shortest path problem is highly relevant in our daily lives, addressing uncertainties like traffic conditions and weather variations. To handle such uncertainties, we utilize Fuzzy Numbers. This paper focuses on Bipolar Neutrosophic Fuzzy Numbers, which have dual positive and negative aspects. They provide a robust framework for representing arc (node/edge) weights, signifying uncertain travel times between nodes. Importantly, these weights can change over time in bipolar neutrosophic fuzzy graphs. Our study introduces an extended Bellman-Ford Algorithm for identifying optimal paths and minimum times with time-dependent Bipolar Neutrosophic Fuzzy arc weights. We demonstrate its effectiveness through a step-by-step numerical example …

Neutrosophic Doubt Fuzzy Bi-Ideal Of Bs-Algebras, P. Ayesha Parveen, M. Himaya Jaleela Begum

Neutrosophic Sets and Systems

In this research paper, our aim is to introduce the new concept of neutrosophic doubt fuzzy bi-ideal of BS algebras as an extension of doubt fuzzy bi-ideal of BS-algebras and investigated its algebraic nature. Neutrosophic doubt fuzzy bi-ideal of BS-algebras is also applied in Cartesian product. Finally, we also provide the homomorphic behaviour of Neutrosophic doubt fuzzy bi-ideal of BS-algebras.

Neutrosophic Vision Of The Expected Opportunity Loss Criterion (Neol) Decision Making Under Risk, Maissam Jdid, Florentin Smarandache

Neutrosophic Sets and Systems

One of the major challenges facing decision-makers at the present time is obtaining complete information about the issue under study, due to the unstable conditions of the work environment that are beyond the control of decision-makers, which requires them to reach an optimal decision in light of these circumstances and fluctuations and to benefit from the data that is collected. Collected by specialists to determine the appropriate probability distribution corresponding to random cases of nature, here we are faced with the issue of making a decision in the event of risk because the probability distribution is a distribution linked to …

Production Planning With The Neutrosophic Fuzzy Multi-Objective Optimization Technique, Şule Bayazit Bedirhanoğlu, Mahmut Atlas

Neutrosophic Sets and Systems

Businesses want to realize their production at the desired time and quality. In addition, businesses aim to use their existing resources efficiently and increase their earnings. The realization of more than one purpose is achieved by multi-purpose planning of production. This study considered the multi-objective production planning of a company that manufactures spare parts for household appliances. The management of the company wants to minimize its cost, cycle time, defective rates, and material wastage while maximizing its profits in the process of producing all 121 different products. This study presents a solution for this multi-item multi-objective production problem using the …

Evaluation Of Sustainable Waste Valorization Using Treesoft Set With Neutrosophic Sets, Ali Alqazzaz, Karam M. Sallam

Neutrosophic Sets and Systems

This study proposed a neutrosophic set framework with TreeSoft Set for sustainable waste valorization selection. The neutrosophic set is used to overcome uncertainty and vague information in the evaluation process. The neutrosophic set has three membership degrees: truth, indeterminacy, and falsity. The multi criteria decision-making (MCDM) methodology deals with various criteria to evaluate waste valorization. The VIKOR method is an MCDM method used to rank the alternatives. The numerical example was created with 12 criteria and 10 alternatives. Three decision-makers and experts are invited to evaluate the requirements and options. We used the bipolar neutrosophic numbers to replace the opinions …

Modeling Influenced Criteria In Classifiers' Imbalanced Challenges Based On Trss Bolstered By The Vague Nature Of Neutrosophic Theory, Ibrahim El-Henawy, Shrouk El-Amir, Mona Mohamed, Florentin Smarandache

Neutrosophic Sets and Systems

Because of the advancements in technology, classification learning has become an essential activity in today's environment. Unfortunately, through the classification process, we noticed that the classifiers are unable to deal with the imbalanced data, which indicates there are many more instances (majority instances) in one class than in another. Identifying an appropriate classifier among the various candidates is a time-consuming and complex effort. Improper selection can hinder the classification model's ability to provide the right outcomes. Also, this operation requires preference among a set of alternatives by a set of criteria. Hence, multi-criteria decision making (MCDM) methodology is the appropriate …

New Fixed Point Results In Neutrosophic Metric Spaces, Umar Ishtiaq, Fahim Ud Din, Mureed Qasim, Lakhdar Ragoub, Khalil Javed

Neutrosophic Sets and Systems

In this manuscript, we give the generalization of banach’s, Kannan’s and Chatterjee’s fixed Point theorems in neutrosophic metric spaces by using new (TS-IF⍺) contractive mappings. Also, we establish common fixed point results in neutrosophic metric space by using Occasionally weakly compatible maps for integral type inequalities.

Neutrosophic Sets And Systems, Vol. 65,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Autoantibodies, Antigen-Autoantibody Complexes And Antigens Complement Ca125 For Early Detection Of Ovarian Cancer, Chae Young Han, Jacob S Bedia, Wei-Lei Yang, Sarah J Hawley, Lindsay Bergan, Marika Hopper, Joseph Celestino, Jing Guo, Terrie G Gornet, Antoninus Soosaipillai, Hailing Yang, Samantha D Doskocil, Anna E Lokshin, Beverly C Handy, Eleftherios P Diamandis, Richard G Moore, Karen H Lu, Zhen Lu, Karen S Anderson, Charles W Drescher, Steven J Skates, Robert C Bast

Faculty, Staff and Student Publications

BACKGROUND: Multiple antigens, autoantibodies (AAb), and antigen-autoantibody (Ag-AAb) complexes were compared for their ability to complement CA125 for early detection of ovarian cancer.

METHODS: Twenty six biomarkers were measured in a single panel of sera from women with early stage (I-II) ovarian cancers (n = 64), late stage (III-IV) ovarian cancers (186), benign pelvic masses (200) and from healthy controls (502), and then split randomly (50:50) into a training set to identify the most promising classifier and a validation set to compare its performance to CA125 alone.

RESULTS: Eight biomarkers detected ≥ 8% of early stage cases at 98% specificity. …

Amyopathic Dermatomyositis May Be On The Spectrum Of Autoinflammatory Disease: A Clinical Review, Saika Sharmeen, Lisa Christopher-Stine, Joann N Salvemini, Peter Gorevic, Richard Clark, Qingping Yao

Faculty, Staff and Student Publications

Systemic autoinflammatory diseases (SAIDs) are distinct from autoimmune diseases. The former primarily results from abnormal innate immune response and genetic testing is crucial for disease diagnosis. Similar cutaneous involvement is a main feature for both SAID and dermatomyositis (DM), so they can be confused with each other. A literature search of PubMed and MEDLINE was conducted for relevant articles. The similarities and differences between these two types of diseases were analyzed. We found phenotypic similarities between these two types of disorders. Accumulating data supports a major role of the innate immune system and a similar cytokine profile. Molecular testing using …

Safety And Tolerability Of Phenylbutyrate In Inclusion Body Myositis, Duaa Jabari, Andrew Heim, Ali Ciersdorff, Heather M. Wilkins, Abdulbaki Agbas, Edina Kosa, Suzanne Hunt, Mamatha Pasnoor, Mazen M. Dimachkie, Richard J. Barohn

Faculty and Staff Publications

Introduction

Phenylbutyrate (PBA) showed positive effect on the muscle cell model of Inclusion Body Myositis (IBM) by improving lysosomal activity, ameliorating consequences of impaired autophagy, and decreasing vacuolization. This provides rationale to study this medication in patients with IBM.

Objectives

To evaluate the safety and tolerability of phenylbutyrate in IBM, and monitor for any early signal of effectiveness.

Methods

Open-label study of 10 subjects with IBM who received treatment with PBA for 3 months after a 3-month run-in period. The PBA dose was 3 gm twice daily. The primary outcome measure was adverse event reporting. Secondary outcome measures included manual …

Oblique Anterior Column Realignment With A Mini-Open Posterior Column Osteotomy For Minimally Invasive Adult Spinal Deformity Correction: Illustrative Case, Zach Pennington, Nolan J. Brown, Seyedamirhossein Pishva, Hernán F.J. González, Martin H. Pham

Student Publications

BACKGROUND Adult spinal deformity (ASD) occurs from progressive anterior column collapse due to disc space desiccation, compression fractures, and autofusion across disc spaces. Anterior column realignment (ACR) is increasingly recognized as a powerful tool to address ASD by progressively lengthening the anterior column through the release of the anterior longitudinal ligament during lateral interbody approaches. Here, we describe the application of minimally invasive ACR through an oblique antepsoas corridor for deformity correction in a patient with adult degenerative scoliosis and significant sagittal imbalance.

OBSERVATIONS A 65-year-old female with a prior history of L4–5 transforaminal lumbar interbody fusion and morbid obesity …

A Cadaveric Study Of The Deep And Superficial Dorsal Veins For Penile Transplant, Sirai Ramirez, Nawsin Baset, Andrew Brevik, Nathaniel Ballek, Alyssa Kendell, Ryan Schiller, Anthony Olinger

Student Publications

Objective: It is crucial to know the lengths of the neurovasculature proximal to a penile allograft to allow for better viability of a penile transplant. We performed a cadaveric exploration focused on the deep and superficial dorsal veins as identified in a microsurgical dissection of the penis to help expand the anatomical knowledge for such a procedure.

Methods: We examined 18 cadavers and measured the (1) vertical distance from the pubic symphysis to the point at which the superficial dorsal vein is no longer on the erectile tissue; (2) point at which the superficial dorsal vein is no …

Play Time: Gender, Anti-Semitism And Temporality In Medieval Biblical Drama By Daisy Black (Review), Christopher B. Swift

Publications and Research

No abstract provided.