Digital Commons Network^™

Dnp-Phd Collaboration In Ninr-Funded Physical Activity Trials: A Series Of Case Studies, Shannon Halloway, Susan Weber Buchholz, Joellen Wilbur, Janice A. Odiaga, Margaret Perlia Bavis, Sally Lemke, Heide R. Cygan, Melissa Kalensky, Phyllis Powell Pelt, Lynne T. Braun, Susan Tafini, Anita Opdycke, Krista A. Knudson, Manju Daniel, Joellen Wilbur

College of Nursing Faculty Research and Publications

Collaboration between Doctor of Nursing Practice (DNP) scholars and Doctor of Philosophy (PhD) scholars is crucial to efficiently advance and disseminate nursing science. Also, DNP-PhD collaboration can help achieve priorities outlined in the recent National Institute of Nursing Research (NINR) Strategic Plan. The purpose of this series of case studies is to describe exemplars of ongoing DNP-PhD collaborations across three NINR-funded trials (1 completed, 2 ongoing) testing physical activity interventions for women at risk for cardiovascular disease. In our three physical activity intervention trials for women, we categorized examples of DNP-PhD collaboration by the four phases of the team-based research …

A Dynamical Systems Approach To Characterizing Brain–Body Interactions During Movement: Challenges, Interpretations, And Recommendations, Derek C. Monroe, Nathaniel T. Berry, Peter C. Fino, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Brain–body interactions (BBIs) have been the focus of intense scrutiny since the inception of the scientific method, playing a foundational role in the earliest debates over the philosophy of science. Contemporary investigations of BBIs to elucidate the neural principles of motor control have benefited from advances in neuroimaging, device engineering, and signal processing. However, these studies generally suffer from two major limitations. First, they rely on interpretations of ‘brain’ activity that are behavioral in nature, rather than neuroanatomical or biophysical. Second, they employ methodological approaches that are inconsistent with a dynamical systems approach to neuromotor control. These limitations represent a …

Mapping California Rice Using Optical And Sar Data Fusion With Phenological Features In Google Earth Engine, Li Wenzhao, Hesham El-Askary, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Articles and Research

California, known for its diverse agriculture, is also a major producer of rice, especially in its northern regions in Sacramento River Valley. Traditional methods, predominantly reliant on optical-based satellite imagery, encounter limitations due to atmospheric interference and sensor resolution. The ability of Synthetic Aperture Radar (SAR) to penetrate atmospheric distortions and exhibit high sensitivity to vegetation structure presents a distinct advantage over optical-based methods. Utilizing Optical and SAR data fusion, this study advances the enhanced pixel-based phenological feature composite (Eppf) method using SVM classification algorithm, which can track phenological changes and patterns, providing valuable insights for agricultural planning and management. …

Applying Direct Electrical Stimulus To Drive Cell Behavior For 3d Tissue Engineering, Olivia Nielson, Mone't Sawyer, Raquel Montenegro-Brown, Hailey Burgoyne, David Estrada

Idaho Conference on Undergraduate Research

Knee osteoarthritis (OA) is a chronic joint disease which leads to the progressive decomposition of hyaline cartilage, the protective tissue which covers diarthrodial joints. Due to its’ limited capacity for self-repair, 3D tissue engineering is a prospective treatment being explored to restore damaged tissue. This project utilizes graphene foam (GF) as a bioscaffold for the excellent mechanical, electrical, and biocompatible qualities that lend to the optimization of cell growth. This work, using 3D cell culture techniques, aims to impact the differentiation and proliferation of ATDC5 cells with applied electrical stimulation. To our knowledge, developing parameters for a specific membrane potential …

Lig For Use As A Resistive Sensor, Devin Mccall, Ben Pearson

Idaho Conference on Undergraduate Research

Certain species of sagebrush extant in Idaho emit volatile organic compounds. It is of interest to the scientific community to detect these compounds to glean insight into sagebrush and sage-grouse population decline, or possible intraspecies sagebrush communication. Therefore a sensor is devised to exploit the chemiresistive properties of laser-induced graphene to this end, fabricated by means of irradiating a polyimide with coherent infrared radiation. Properties of the sensory material are discussed, including its resistive response to the compounds of interest, resistive response to temperature, signal interference from physical deformation, and long-term material degradation induced by normal use. Initial results are …

Visualization Of Material Collection, Alex Anta, John Koudelka, David Estrada

Idaho Conference on Undergraduate Research

Visualization technology has advanced in the last few years where it can now spearhead many challenges we face today. Such as in my project of hazardous material collection where the visualization can be used to develop new technologies that can one day do the work that puts others at risk and eliminate the threat to human life. Simplified and made directly available for industries to see the benefits of using visual models first before development. Can also be a cost-efficient resource to industries and efficient way of training through virtual reality. In conclusion not only is visualization marketable it has …

The Zero: The Zip-Tie Revolver, Nuha Akhtar, Dylan Brown, Julian Darden, Joshua Fernando, Keith Lindsey, Victor Nguyen, Genevieve Overmyer, Ian Peña, Morgan Roberts, Ryan Samolis, Alex Smith, Iz Varland, Soren Witter

Idaho Conference on Undergraduate Research

The Boise State Microgravity team took part in the EVA Zip Tie Installer challenge. As a part of maintaining the International Space Station (ISS) until 2030, the National Aeronautics and Space Administration (NASA) are inquiring into different device solutions that can install zip-ties fully mechanically and repeatedly by astronauts aboard the ISS during EVA’s. This serves as a solution to the current use of metal wires which are wrapped around pipes and loose wires on the ISS.

The Zip-Tie Revolver (ZERO) was created to install zip-ties taking into account the astronaut’s limited dexterity and the goals of reusability with modular …

Screening Hydrogels For Antifibrotic Properties By Implanting Cellularly Barcoded Alginates In Mice And A Non-Human Primate, Sudip Mukherjee, Boram Kim, Lauren Y Cheng, Michael David Doerfert, Jiaming Li, Lily Liang, Peter D Rios, Sofia Ghani, Ira Joshi, Douglas Isa, Trisha Ray, Tanguy Terlier, Cody Fell, Ping Song, Roberto N Miranda, Jose Oberholzer, David Yu Zhang, Omid Veiseh

Faculty, Staff and Student Publications

Screening implantable biomaterials for antifibrotic properties is constrained by the need for in vivo testing. Here we show that the throughput of in vivo screening can be increased by cellularly barcoding a chemically modified combinatorial library of hydrogel formulations. The method involves the implantation of a mixture of alginate formulations, each barcoded with human umbilical vein endothelial cells from different donors, and the association of the identity and performance of each formulation by genotyping single nucleotide polymorphisms of the cells via next-generation sequencing. We used the method to screen 20 alginate formulations in a single mouse and 100 alginate formulations …

Interferon Signaling Promotes Tolerance To Chromosomal Instability During Metastatic Evolution In Renal Cancer, Luigi Perelli, Federica Carbone, Li Zhang, Justin K Huang, Courtney Le, Francesca Citron, Tony Gutschner, Hideo Tomihara, Melinda Soeung, Rosalba Minelli, Sanjana Srinivasan, Michael Peoples, Truong Nguyen Anh Lam, Sebastian Lundgren, Ruohan Xia, Cihui Zhu, Alaa M T Mohamed, Jianhua Zhang, Kanishka Sircar, Alessandro Sgambato, Jianjun Gao, Eric Jonasch, Giulio F Draetta, Andrew Futreal, Ziad Bakouny, Eliezer M Van Allen, Toni Choueiri, Sabina Signoretti, Pavlos Msaouel, Kevin Litchfield, Samra Turajlic, Linghua Wang, Ying Bei Chen, Renzo G Di Natale, A Ari Hakimi, Virginia Giuliani, Timothy P Heffernan, Andrea Viale, Christopher A Bristow, Nizar M Tannir, Alessandro Carugo, Giannicola Genovese

Faculty, Staff and Student Publications

Molecular routes to metastatic dissemination are critical determinants of aggressive cancers. Through in vivo CRISPR-Cas9 genome editing, we generated somatic mosaic genetically engineered models that faithfully recapitulate metastatic renal tumors. Disruption of 9p21 locus is an evolutionary driver to systemic disease through the rapid acquisition of complex karyotypes in cancer cells. Cross-species analysis revealed that recurrent patterns of copy number variations, including 21q loss and dysregulation of the interferon pathway, are major drivers of metastatic potential. In vitro and in vivo genomic engineering, leveraging loss-of-function studies, along with a model of partial trisomy of chromosome 21q, demonstrated a dosage-dependent effect …

Predicting Benefit From Immune Checkpoint Inhibitors In Patients With Non-Small-Cell Lung Cancer By Ct-Based Ensemble Deep Learning: A Retrospective Study, Maliazurina B Saad, Lingzhi Hong, Muhammad Aminu, Natalie I Vokes, Pingjun Chen, Kang Qin, Xuetao Lu, Elliana Young, Qasem Al-Tashi, Rizwan Qureshi, Carol C Wu, Brett W Carter, Steven H Lin, Percy P Lee, Saumil Gandhi, Joe Y Chang, Ruijiang Li, Michael F Gensheimer, Heather A Wakelee, Joel W Neal, Hyun-Sung Lee, Chao Cheng, Vamsidhar Velcheti, Yanyan Lou, Milena Petranovic, Waree Rinsurongkawong, Xiuning Le, Vadeerat Rinsurongkawong, Amy Spelman, Yasir Y Elamin, Marcelo V Negrao, Ferdinandos Skoulidis, Carl M Gay, Tina Cascone, Mara B Antonoff, Boris Sepesi, Jeff Lewis, Ignacio I Wistuba, John D Hazle, Caroline Chung, David Jaffray, Don L Gibbons, Ara Vaporciyan, J Jack Lee, John V Heymach, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

BACKGROUND: Only around 20-30% of patients with non-small-cell lung cancer (NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based biomarkers (eg, PD-L1) are limited by suboptimal performance, tissue availability, and tumour heterogeneity, radiographic images might holistically capture the underlying cancer biology. We aimed to investigate the application of deep learning on chest CT scans to derive an imaging signature of response to immune checkpoint inhibitors and evaluate its added value in the clinical context.

METHODS: In this retrospective modelling study, 976 patients with metastatic, EGFR/ALK negative NSCLC treated with immune checkpoint inhibitors at MD Anderson and Stanford were enrolled from …

Transcriptional Profiling And Consensus Molecular Subtype Assignment To Understand Response And Resistance To Anti-Epidermal Growth Factor Receptor Therapy In Colorectal Cancer, Saikat Chowdhury, Ria Gupta, Joshua Millstein, Kangyu Lin, Valsala Haridas, Christine Parseghian, Scott Kopetz, John Paul Shen

Faculty, Staff and Student Publications

PURPOSE: Activating mutations in KRAS, NRAS, and BRAF are known to cause resistance to anti–epidermal growth factor receptor (EGFR) therapy; however, only approximately 40% of patients with colorectal cancer (CRC) with RASWT tumors respond to anti-EGFR treatment. We sought to discover novel biomarkers to predict response to anti-EGFR antibody treatment in CRC and to understand mechanisms of resistance to anti-EGFR therapy.

MATERIALS AND METHODS: Transcriptomic profiles from three clinical and two preclinical cohorts treated with cetuximab were used to assign consensus molecular subtypes (CMS) to each sample and correlated with outcomes.

RESULTS: Restricting to RASWT patients, …

Reducing The Production Of Acrylamide During The Roasting Of Balloon Flower Roots In Consumer Appliances And Industrial Equipment, Min Gyu Lee, Hyebin Han, Seung Hwan Ham, Suyoon Lee, Young Jin Choi

Faculty, Staff and Student Publications

This study aimed to determine what conditions were needed to reduce the production of acrylamide when balloon flower roots [Platycodon grandiflorum (Jacq. A. DC.)] were heated. The conditions of temperature, time, and the type of equipment (i.e., consumer appliance or industrial equipment) were the important variables in the experiment. The official criterion for a recommended standard of acrylamide in tea product is less than 1000 µg/kg as determined by the Ministry of Food and Drug Safety in South Korea. A response surface methodology was used to determine whether the heated samples met the safety requirements. The most significant condition …

Effect Of Nanoparticle Loading And Magnetic Field Application On The Thermodynamic, Optical, And Rheological Behavior Of Thermoresponsive Polymer Solutions, Christopher A P Neal, Grace V Kresge, Michelle C Quan, Valeria León, Nondumiso O Chibambo

Faculty, Staff and Student Publications

Although processing via external stimuli is a promising technique to tune the structure and properties of polymeric materials, the impact of magnetic fields on phase transitions in thermoresponsive polymer solutions is not well-understood. As nanoparticle (NP) addition is also known to impact these thermodynamic and optical properties, synergistic effects from combining magnetic fields with NP incorporation provide a novel route for tuning material properties. Here, the thermodynamic, optical, and rheological properties of aqueous poly(N-isopropyl acrylamide) (PNIPAM) solutions are examined in the presence of hydrophilic silica NPs and magnetic fields, individually and jointly, via Fourier-transform infrared spectroscopy (FTIR), magneto-turbidimetry, differential scanning …

Ai In Drug Discovery And Its Clinical Relevance, Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, Sheheryar Khan, Jia Wu, John Heymach, Hong Yan, Tanvir Alam

Faculty, Staff and Student Publications

The COVID-19 pandemic has emphasized the need for novel drug discovery process. However, the journey from conceptualizing a drug to its eventual implementation in clinical settings is a long, complex, and expensive process, with many potential points of failure. Over the past decade, a vast growth in medical information has coincided with advances in computational hardware (cloud computing, GPUs, and TPUs) and the rise of deep learning. Medical data generated from large molecular screening profiles, personal health or pathology records, and public health organizations could benefit from analysis by Artificial Intelligence (AI) approaches to speed up and prevent failures in …

Development Of Cancer Surveillance Guidelines In Ataxia Telangiectasia: A Delphi-Based Consensus Survey Of International Experts, Sophie Wilne, David J Coman, Gregor Dückers, Donald L Gilbert, Mary Kay Koenig, Lobna Mansour, Elizabeth Mcdermott, Micaela Pauni, Claudio Pignata, Susan L Perlman, Oscar Porras, Mariela Betina Porto, Katherine Schon, Pere Soler-Palacin, Sam Nick Russo, Masatoshi Takagi, Marc Tischkowitz, Claire Wainwright, Madhumita Dandapani, Cristine Glazebrook, Mohnish Suri, William P Whitehouse, Robert A Dineen

Faculty, Staff and Student Publications

BACKGROUND/OBJECTIVES: Ataxia telangiectasia (A-T) is a multiorgan disorder with increased vulnerability to cancer. Despite this increased cancer risk, there are no widely accepted guidelines for cancer surveillance in people affected by A-T. We aimed to understand the current international practice regarding cancer surveillance in A-T and agreed-upon approaches to develop cancer surveillance in A-T.

DESIGN/METHODS: We used a consensus development method, the e-Delphi technique, comprising three rounds. Round 1 consisted of a Delphi questionnaire and a survey that collected the details of respondents' professional background, experience, and current practice of cancer surveillance in A-T. Rounds 2 and 3 were designed …

Examining Mechanisms For Voltage-Sensitive Calcium Channel-Mediated Secretion Events In Bone Cells, Perla C Reyes Fernandez, Christian S Wright, Mary C Farach-Carson, William R Thompson

Faculty, Staff and Student Publications

In addition to their well-described functions in cell excitability, voltage-sensitive calcium channels (VSCCs) serve a critical role in calcium (Ca2+)-mediated secretion of pleiotropic paracrine and endocrine factors, including those produced in bone. Influx of Ca2+ through VSCCs activates intracellular signaling pathways to modulate a variety of cellular processes that include cell proliferation, differentiation, and bone adaptation in response to mechanical stimuli. Less well understood is the role of VSCCs in the control of bone and calcium homeostasis mediated through secreted factors. In this review, we discuss the various functions of VSCCs in skeletal cells as regulators of Ca2+ dynamics and …

Three-Dimensional Printing Bioceramic Scaffolds Using Direct-Ink-Writing For Craniomaxillofacial Bone Regeneration, Vasudev Vivekanand Nayak, Blaire V Slavin, Edmara T P Bergamo, Andrea Torroni, Christopher M Runyan, F Kurtis Kasper, Paulo G Coelho, Lukasz Witek

Faculty, Staff and Student Publications

Defects characterized as large osseous voids in bone, in certain circumstances, are difficult to treat, requiring extensive treatments which lead to an increased financial burden, pain, and prolonged hospital stays. Grafts exist to aid in bone tissue regeneration (BTR), among which ceramic-based grafts have become increasingly popular due to their biocompatibility and resorbability. BTR using bioceramic materials such as β-tricalcium phosphate has seen tremendous progress and has been extensively used in the fabrication of biomimetic scaffolds through the three-dimensional printing (3DP) workflow. 3DP has hence revolutionized BTR by offering unparalleled potential for the creation of complex, patient, and anatomic location-specific …

Federated Benchmarking Of Medical Artificial Intelligence With Medperf, Alexandros Karargyris, Renato Umeton, Micah J Sheller, Alejandro Aristizabal, Johnu George, Sarthak Pati, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Fets Consortium, Brats-2020 Consortium, Ai4safechole Consortium, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M Awad, Jeremy P Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M Johnson, Spyridon Bakas, Peter Mattson

Faculty, Staff and Student Publications

Medical artificial intelligence (AI) has tremendous potential to advance healthcare by supporting and contributing to the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving both healthcare provider and patient experience. Unlocking this potential requires systematic, quantitative evaluation of the performance of medical AI models on large-scale, heterogeneous data capturing diverse patient populations. Here, to meet this need, we introduce MedPerf, an open platform for benchmarking AI models in the medical domain. MedPerf focuses on enabling federated evaluation of AI models, by securely distributing them to different facilities, such as healthcare organizations. This process of bringing the model …

Histone Demethylase Kdm5d Upregulation Drives Sex Differences In Colon Cancer, Jiexi Li, Zhengdao Lan, Wenting Liao, James W Horner, Xueping Xu, Yohei Yoshihama, Hong Seok Shim, Max Slotnik, Kyle A Labella, Chang-Jiun Wu, Kenneth Dunner, Wen-Hao Hsu, Rumi Lee, Isha Khanduri, Christopher Terranova, Kadir Akdemir, Deepavali Chakravarti, Xiaoying Shang, Denise J Spring, Y Alan Wang, Ronald A Depinho

Faculty, Staff and Student Publications

Sex exerts a profound impact on cancer incidence, spectrum and outcomes, yet the molecular and genetic bases of such sex differences are ill-defined and presumptively ascribed to X-chromosome genes and sex hormones1. Such sex differences are particularly prominent in colorectal cancer (CRC) in which men experience higher metastases and mortality. A murine CRC model, engineered with an inducible transgene encoding oncogenic mutant KRASG12D and conditional null alleles of Apc and Trp53 tumour suppressors (designated iKAP)2, revealed higher metastases and worse outcomes specifically in males with oncogenic mutant KRAS (KRAS*) CRC. Integrated cross-species molecular and transcriptomic analyses identified Y-chromosome gene histone …

Transplantation Referral Patterns For Patients With Newly Diagnosed Higher-Risk Myelodysplastic Syndromes And Acute Myeloid Leukemia At Academic And Community Sites In The Connect® Myeloid Disease Registry: Potential Barriers To Care, Benjamin Tomlinson, Marcos De Lima, Christopher R Cogle, Michael A Thompson, David L Grinblatt, Rami S Komrokji, Michael R Savona, Mikkael A Sekeres, Mehrdad Abedi, Guillermo Garcia-Manero, Sandra E Kurtin, Jaroslaw P Maciejewski, Jay L Patel, Dennis A Revicki, Tracy I George, E Dawn Flick, Pavel Kiselev, Chrystal U Louis, Irene S Degutis, Melissa Nifenecker, Harry P Erba, David P Steensma, Bart L Scott

Faculty, Staff and Student Publications

Hematopoietic stem cell transplantation (HCT) is indicated for patients with higher-risk (HR) myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Age, performance status, patient frailty, comorbidities, and nonclinical factors (eg, cost, distance to site) are all recognized as important clinical factors that can influence HCT referral patterns and patient outcomes; however, the proportion of eligible patients referred for HCT in routine clinical practice is largely unknown. This study aimed to assess patterns of consideration for HCT among patients with HR-MDS and AML enrolled in the Connect® Myeloid Disease Registry at community/government (CO/GOV)- or academic (AC)-based sites, as well as to …

The Impact Of Covid-19 On Maritime Pilots: Evidence And Lessons, Zhiwei Zhao, Lijun Tang

Plymouth Business School

The COVID-19 pandemic led to port congestion and disruption to global logistics and supply chains. While previous research has examined the impact on port performance and economics, social issues, such as the impact on port personnel (including pilots), have been overlooked. In this context, this paper examines the challenges experienced by Chinese pilots during the pandemic through in-depth interviews with 28 pilots. It shows that the draconian pandemic control measures adopted in China, rather than the pandemic itself, impaired pilots’ physical and mental health, reduced their availability, and introduced new safety hazards, which curtailed both the port’s capacity and ability …

Satisfaction Of Older Patients With Emergency Department Care: Psychometric Properties And Construct Validity Of The Consumer Emergency Care Satisfaction Scale, Rebecca K Green, Rachel Rutkowski, Megan E Salwei, Hanna J Barton, Manish N Shah, Michael S Pulia, Brian W Patterson, Paula V W Dail, Sheryl Krause, Denise Buckley, Jennifer Hankwitz, Nicole E Werner

Faculty, Staff and Student Publications

BACKGROUND: Patient satisfaction is an important indicator of quality of care, but its measurement remains challenging. The Consumer Emergency Care Satisfaction Scale (CECSS) was developed to measure patient satisfaction in the emergency department (ED). Although this is a valid and reliable tool, several aspects of the CECSS need to be improved, including the definition, dimension, and scoring of scales.

PURPOSE: The purpose of this study was to examine the construct validity of the CECSS and make suggestions on how to improve the tool to measure overall satisfaction with ED care.

METHODS: We administered 2 surveys to older adults who presented …

Substrate Derived Sequences Act As Subsite-Blocking Motifs In Protease Inhibitory Antibodies

Faculty, Staff and Student Publications

Proteases are involved in many physiologic processes, and dysregulated proteolysis is basis of a variety of diseases. Specific inhibition of pathogenetic proteases via monoclonal antibodies therefore holds significant therapeutic promise. Inspired by the competitive mechanism utilized by many naturally occurring and man-made protease inhibitors, we hypothesized that substrate-like peptide sequences can act as protease subsite blocking motifs if they occupy only one side of the reaction center. To test this hypothesis, a degenerate codon library representing MMP-14 substrate profiles at P1-P5' positions was constructed in the context of an anti-MMP-14 Fab by replacing its inhibitory motif in CDR-H3 with MMP-14 …

Immunotherapy-Related Pneumonitis And The Synergic Impact Of Thoracic Radiation And Preexisting Interstitial Lung Disease, Ajay Sheshadri

Faculty, Staff and Student Publications

PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) are the frontline of therapy for most cancers. Although ICIs are sometimes considered to be less harmful than systemic chemotherapies, ICIs may cause immune-related adverse events, which are cases of off-target inflammation in healthy tissues. Pneumonitis, an immune-related adverse event, is the leading cause of therapy-related mortality with ICIs. The aim of this review is to discuss how preexisting interstitial lung disease (ILD) and thoracic radiation increase the risk for ICI-pneumonitis. We discuss potential mechanisms of lung injury and how pneumonitis may impact cancer treatments.

RECENT FINDINGS: Preexisting ILD and thoracic radiation are …

Mental Health In The Dental Workplace: Recognizing Signs, Communicating Concern, And Sharing Resources, Karen M. O'Brien, Karoline J. Trovato

The Journal of the Michigan Dental Association

Dentists face numerous concerns in the workplace, including stress, burnout, anxiety, and depression. Mental health concerns affect the workplace in profound ways, including engagement in and quality of work and patient care, the level of productivity, and health care costs. Recognizing mental health concerns is an important first step in assisting dentists and their staff in receiving needed assistance from mental health professionals. Steps that dentists can use to communicate their concerns and share resources are provided. Finally, a prevention model is presented to promote mental health and workplace well-being in the practice of dentistry.

Mechanical Properties And Deformation Mechanisms Of Nanocrystalline U-10mo Alloys By Molecular Dynamics Simulation, Xuelian Ou, Yanxin Shen, Yue Yang, Zhenjiang You, Peng Wang, Yexin Yang, Xiaofeng Tian

Research outputs 2022 to 2026

U-Mo alloys were considered to be the most promising candidates for high-density nuclear fuel. The uniaxial tensile behavior of nanocrystalline U-10Mo alloys with average grain sizes of 8–23 nm was systematically studied by molecular dynamics (MD) simulation, mainly focusing on the influence of average grain size on the mechanical properties and deformation mechanisms. The results show that Young’s modulus, yield strength and ultimate tensile strength follow as average grain size increases. During the deformation process, localized phase transitions were observed in samples. Grain boundary sliding and grain rotation, as well as twinning, dominated the deformation in the smaller and larger …

The Role Of Lithium In The Aging Precipitation Process Of Al-Zn-Mg-Cu Alloys And Its Effect On The Properties, Jing-Ran Sun, Bai-Xin Dong, Hong-Yu Yang, Shi-Li Shu, Feng Qiu, Qi-Chuan Jiang, Lai-Chang Zhang

Research outputs 2022 to 2026

It is well known that the development of lightweight alloys with improved comprehensive performance and application value are the future development directions for the ultra-high-strength 7xxx series Al-Zn-Mg-Cu alloys used in the aircraft field. As the lightest metal element in nature, lithium (Li) has outstanding advantages in reducing the density and increasing the elastic modulus in aluminum alloys, so Al-Zn-Mg-Cu alloys containing Li have gained widespread attention. Furthermore, since the Al-Zn-Mg-Cu alloy is usually strengthened by aging treatment, it is crucial to understand how Li addition affects its aging precipitation process. As such, in this article, the effects and mechanism …

Automated Pavement Construction Inspection Using Uncrewed Aerial Systems (Uas)—Hot Mixed Asphalt (Hma) Temperature Segregation, Reihaneh Samsami, Amlan Mukherjee, Colin Brooks

Michigan Tech Publications

Temperature segregation in Hot Mixed Asphalt (HMA) pavement construction leads to performance problems, such as reduced fatigue life. During construction, Quality Assurance (QA) inspection procedures are required to evaluate the pavement condition and detect the segregated areas. In traditional HMA highway construction inspection processes, temperature differences are investigated manually, by sampling the HMA behind the paver. In these processes, inspectors are required to work adjacent to traffic and alongside moving or backing equipment. These processes do not provide a complete temperature profile of the mat, endanger the inspectors’ safety, and require on-site experienced inspectors. An Uncrewed Aerial System (UAS) enables …

Ant Colony Optimization For Resistor Color Code Detection, Slamet Wibawanto, Kartika Candra Kirana, Hani Ramadhan

Knowledge Engineering and Data Science

In the early stages of learning resistors, introducing color-based values is needed. Moreover, some combinations require a resistor trip analysis to identify. Unfortunately, a resistor body color is considered a local solution, which often confuses resistor coloration. Ant Colony Optimization (ACO) is a heuristic algorithm that can recognize problems with traveling a group of ants. ACO is proposed to select commercial matrix values to be computed without preventing local solutions. In this study, each explores the matrix based on pheromones and heuristic information to generate local solutions. Global solutions are selected based on their high degree of similarity with other …

Exploring The Impact Of Students Demographic Attributes On Performance Prediction Through Binary Classification In The Kdp Model, Issah Iddrisu, Peter Appiahene, Obed Appiah, Inusah Fuseini

Knowledge Engineering and Data Science

During the course of this research, binary classification and the Knowledge Discovery Process (KDP) were used. The experimental and analytical capabilities of Rapid Miner's 9.10.010 instructional environment are supported by five different classifiers. Included in the analysis were 2334 entries, 17 characteristics, and one class variable containing the students' average score for the semester. There were twenty experiments carried out. During the studies, 10-fold cross-validation and ratio split validation, together with bootstrap sampling, were used. It was determined whether or not to use the Random Forest (RF), Rule Induction (RI), Naive Bayes (NB), Logistic Regression (LR), or Deep Learning (DL) …