Digital Commons Network^™

Feasibility Of Tracking Human Kinematics With Simultaneous Localization And Mapping (Slam), Sepehr Laal, Paul Vasilyev, Sean Pearson, Mateo Aboy, James Mcnames

Electrical and Computer Engineering Faculty Publications and Presentations

We evaluated a new wearable technology that fuses inertial sensors and cameras for tracking human kinematics. These devices use on-board simultaneous localization and mapping (SLAM) algorithms to localize the camera within the environment. Significance of this technology is in its potential to overcome many of the limitations of the other dominant technologies. Our results demonstrate this system often attains an estimated orientation error of less than 1^o and a position error of less than 4 cm as compared to a robotic arm. This demonstrates that SLAM’s accuracy is adequate for many practical applications for tracking human kinematics.

A Multitask Deep Learning Approach For Pulmonary Embolism Detection And Identification, Xiaotian Ma, Emma C. Ferguson, Xiaoqian Jiang, Sean I. Savitz, Shayan Shams

Faculty Research, Scholarly, and Creative Activity

Pulmonary embolism (PE) is a blood clot traveling to the lungs and is associated with substantial morbidity and mortality. Therefore, rapid diagnoses and treatments are essential. Chest computed tomographic pulmonary angiogram (CTPA) is the gold standard for PE diagnoses. Deep learning can enhance the radiologists’workflow by identifying PE using CTPA, which helps to prioritize important cases and hasten the diagnoses for at-risk patients. In this study, we propose a two-phase multitask learning method that can recognize the presence of PE and its properties such as the position, whether acute or chronic, and the corresponding right-to-left ventricle diameter (RV/LV) ratio, thereby …

A Comprehensive Artificial Intelligence Framework For Dental Diagnosis And Charting, Tanjida Kabir, Chun Teh Lee, Luyao Chen, Xiaoqian Jiang, Shayan Shams

Faculty Research, Scholarly, and Creative Activity

Background: The aim of this study was to develop artificial intelligence (AI) guided framework to recognize tooth numbers in panoramic and intraoral radiographs (periapical and bitewing) without prior domain knowledge and arrange the intraoral radiographs into a full mouth series (FMS) arrangement template. This model can be integrated with different diseases diagnosis models, such as periodontitis or caries, to facilitate clinical examinations and diagnoses. Methods: The framework utilized image segmentation models to generate the masks of bone area, tooth, and cementoenamel junction (CEJ) lines from intraoral radiographs. These masks were used to detect and extract teeth bounding boxes utilizing several …

Impact Of Covid-19 On Health Risk Behaviors In Northern California: A Cross-Sectional Survey, Adriana Telias, Marcelle M. Dougan, Giselle A.P. Pignotti

Faculty Research, Scholarly, and Creative Activity

The COVID-19 pandemic has been disruptive, unevenly impacting health behaviors in different geographical regions and population groups. We examined how COVID-19 affected perceived changes in physical activity, sleep, and diet and the impact of socio-demographic variables on a calculated health risk behavior score. In this cross-sectional study, 505 residents of northern California completed a web-based survey from August to November of 2020. Chi-square and multivariable linear regression analyses examined the association between socio-demographic variables and the health risk behavior score. Approximately 84 % of respondents experienced at least one unfavorable behavior change after the pandemic, with 49.5 % indicating a …

Meeting The 24-H Movement Guidelines And Health-Related Outcomes Among Youth With Autism Spectrum Disorder: A Seven-Country Observational Study, Chunxiao Li, Justin A. Haegele, Fenghua Sun, Maria Luiza Tanure Alves, Stefanie Hwee Chee Ang, Jihyun Lee, Kwok Ng, Isabella Dos Santos Alves, Sean Healy, Wendy Yajun Huang, Pauli Rintala, Jernice Sing Yee Tan, Yandan Wu, Hannah Yang, Eija Kärnä, Hyokju Maeng, André Lisandro Schliemann, Ding Ding

Faculty Research, Scholarly, and Creative Activity

Background: Meeting daily guidelines for physical activity, screen time, and sleep duration is associated with a host of health indicators for youth. In this cross-sectional observational study, we investigated the associations between adherence to the movement guidelines and health-related outcomes among youth with autism spectrum disorder (ASD). Methods: Parents of youth with ASD (10–17 years) from seven countries and regions were invited to provide online proxy-reports for child’s movement behaviors (i.e., physical activity, sleep and screen time), and health-related outcomes (i.e., body mass index [BMI], general health, and quality of life). A series of multiple linear regression analyses were used …

Deep Immunophenotyping Reveals Endometriosis Is Marked By Dysregulation Of The Mononuclear Phagocytic System In Endometrium And Peripheral Blood, Júlia Vallvé-Juanico, Ashley F. George, Sushmita Sen, Reuben Thomas, Min Gyoung Shin, Divyashree Kushnoor, Joshua J. Vásquez, Kim Chi Vo, Juan C. Irwin, Nadia R. Roan, Alexis J. Combes, Linda C. Giudice

Faculty Research, Scholarly, and Creative Activity

Background: Endometriosis is a chronic, estrogen-dependent disorder where inflammation contributes to disease-associated symptoms of pelvic pain and infertility. Immune dysfunction includes insufficient immune lesion clearance, a pro-inflammatory endometrial environment, and systemic inflammation. Comprehensive understanding of endometriosis immune pathophysiology in different hormonal milieu and disease severity has been hampered by limited direct characterization of immune populations in endometrium, blood, and lesions. Simultaneous deep phenotyping at single-cell resolution of complex tissues has transformed our understanding of the immune system and its role in many diseases. Herein, we report mass cytometry and high dimensional analyses to study immune cell phenotypes, abundance, activation states, …

A Multi-Site, International Audit Of Malnutrition Risk And Energy And Protein Intakes In Patients Undergoing Treatment For Head Neck And Esophageal Cancer: Results From Inform, Lisa Martin, Merran Findlay, Judith D. Bauer, Rupinder Dhaliwal, Marian De Van Der Schueren, Alessandro Laviano, Adrianne Widaman, Vickie E. Baracos, Andrew G. Day, Leah M. Gramlich

Faculty Research, Scholarly, and Creative Activity

Patients with foregut tumors are at high risk of malnutrition. Nutrition care focuses on identifying individuals at risk of malnutrition and optimizing nutrient intake to promote the maintenance of body weight and lean body mass. This multi-center prospective, longitudinal study audited nutrition care practices related to screening for risk of malnutrition (Patient-Generated Subjective Global Assessment Short Form; PG-SGA SF), and nutrition interventions prescribed (route; adequacy of energy and protein intakes). Audits occurred at four time periods: baseline (before treatment) and at 2, 4, and 6 months after starting cancer treatment; 170 patients (esophageal (ESO; n = 51); head and neck …

Development And Evaluation Of A Novel Dietary Bisphenol A (Bpa) Exposure Risk Tool, Jennifer C. Hartle, Roy S. Zawadzki, Joseph Rigdon, Juleen Lam, Christopher D. Gardner

Faculty Research, Scholarly, and Creative Activity

Background: Exposure to endocrine disrupting chemicals such as bisphenol A (BPA) is primarily from the diet through canned foods. Characterizing dietary exposures can be conducted through biomonitoring and dietary surveys; however, these methods can be time-consuming and challenging to implement. Methods: We developed a novel dietary exposure risk questionnaire to evaluate BPA exposure and compared these results to 24-hr dietary recall data from participants (n = 404) of the Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) study, a dietary clinical trial, to validate questionnaire responses. High BPA exposure foods were identified from the dietary recalls and used …

Promoting Permanency In Families With Parental Substance Misuse: Lessons From A Process Evaluation Of A Multi-System Program, Karla Shockley Mccarthy, Jennifer Price Wolf, Elinam Dellor

Faculty Research, Scholarly, and Creative Activity

Background: Families affected by substance misuse are at increased risk for child maltreatment and child welfare system involvement. The Enhancing Permanency in Children and Families (EPIC) program uses four evidence-based and informed multi-system practices to promote safety and permanency outcomes for children involved with the child welfare system due to parental substance misuse: 1) Peer Recovery Support (PRS), 2) Family Treatment Drug Court (FTDC), 3) Medications for Opioid Use Disorder (MOUD) and 4) Nurturing Parent Program (NPP) relational skill-building. The purpose of the current study was to identify barriers, facilitators, and lessons learned in the implementation of and client engagement …

Examining The Differential Protective Effects Of Women's Spirituality And Religiosity On Alcohol And Marijuana Use By Sexual Identity, Laurie A. Drabble, Amy A. Mericle, Cat Munroe, Alison Cerezo, Katherine J. Karriker-Jaffe, Tonda L. Hughes, Karen F. Trocki

Faculty Research, Scholarly, and Creative Activity

The current study explored how religiosity and spirituality may differentially influence substance use by sexual identity based on a sample of adult sexual minority women (SMW; n = 437 lesbian; n = 323 bisexual) relative to a heterosexual comparison sample (n = 636). We examined three questions: (1) whether spirituality was differentially associated with alcohol and marijuana use by sexual identity; (2) whether religiosity was differentially associated with alcohol and marijuana use by sexual identity; (3) whether observed differences between spirituality or religiosity and substance use by sexual identity persisted after adjusting for religious environment. Measures included spirituality (importance of …

Traffic Restrictions During The 2008 Olympic Games Reduced Urban Heat Intensity And Extent In Beijing, Bo Yang, Hongxing Liu, Emily L. Kang, Timothy L. Hawthorne, Susanna T.Y. Tong, Song Shu, Min Xu

Faculty Research, Scholarly, and Creative Activity

Satellite thermal remote sensing has been utilized to examine the urban heat dynamics in relation to the urban traffic restriction policy. During the 2008 Olympic Games in Beijing, the traffic volume was approximately cut off by half through the road space rationing. Based on daily MODIS satellite thermal observations on the surface temperature, statistical models were developed to analyze the contribution of traffic volume reduction to the urban heat intensity and spatial extent. Our analyses show that cutting off half of the traffic volume has led to a marked decrease in the mean surface temperature by 1.5–2.4 °C and shrinkage …

Qualitatively Exploring The Impact Of A Relationship-Centered Communication Skills Training Program In Improving Patient Perceptions Of Care, Marie C. Haverfield, Robert Victor, Brenda Flores, Jonathan Altamirano, Magali Fassiotto, Merisa Kline, Barbette Weimer-Elder

Faculty Research, Scholarly, and Creative Activity

Objective: To explore qualitative patient experience comments before and after a relationship-centered communication skills training to understand patient experience, program impact, and opportunities for improvement. Methods: Qualitative patient experience evaluation data was captured from January 2016 to December 2018 for 483 health care clinicians who participated in the skills training. A random sampling of available open-ended patient comments (N = 33,223) were selected pre-training (n = 668) and post-training (n = 566). Comments were coded for valence (negative/neutral/positive), generality versus specificity, and based on 12 communication behaviors reflective of training objectives. Results: No significant difference was found in the valence …

Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study, Sambhav Gupta, Yu Chen

Faculty Research, Scholarly, and Creative Activity

Supporting student academic success has been one of the major goals for higher education. However, low teacher-to-student ratio makes it difficult for students to receive sufficient and personalized support that they might want to. The advancement of artificial intelligence (AI) and conversational agents, such as chatbots, has provided opportunities for assisting learning for different types of students. This research aims at investigating the opportunities and requirements of chatbots as an intelligent helper to facilitate equity in learning. We developed a chatbot as an experimental platform to investigate the design opportunities of using chatbots to support inclusive learning. Through a chatbot-led …

Fulminant Lung Fibrosis In Non-Resolvable Covid-19 Requiring Transplantation, Soma S K Jyothula, Andrew Peters, Yafen Liang, Weizhen Bi, Pooja Shivshankar, Simon Yau, Puneet S Garcha, Xiaoyi Yuan, Bindu Akkanti, Scott Collum, Nancy Wareing, Rajarajan A Thandavarayan, Fernando Poli De Frias, Ivan O Rosas, Bihong Zhao, L Maximilian Buja, Holger K Eltzschig, Howard J Huang, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

BACKGROUND: Coronavirus Disease 2019 (COVID-19) can lead to the development of acute respiratory distress syndrome (ARDS). In some patients with non-resolvable (NR) COVID-19, lung injury can progress rapidly to the point that lung transplantation is the only viable option for survival. This fatal progression of lung injury involves a rapid fibroproliferative response and takes on average 15 weeks from initial symptom presentation. Little is known about the mechanisms that lead to this fulminant lung fibrosis (FLF) in NR-COVID-19.

METHODS: Using a pre-designed unbiased PCR array for fibrotic markers, we analyzed the fibrotic signature in a subset of NR-COVID-19 lungs. We …

Early Systemic Glycolytic Shift After Aneurysmal Subarachnoid Hemorrhage Is Associated With Functional Outcomes, Aaron M Gusdon, Chenlian Fu, Vasanta Putluri, Atzhiry S Paz, Hua Chen, Xuefang Ren, Mohammed Khurshidul Hassan, Pramod Dash, Cristian Coarfa, Nagireddy Putluri, Huimahn A Choi, Jude P J Savarraj

Faculty, Staff and Student Publications

BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) leads to a robust systemic inflammatory response. We hypothesized that an early systemic glycolytic shift occurs after aSAH, resulting in a unique metabolic signature and affecting systemic inflammation.

METHODS: Control patients and patients with aSAH were analyzed. Samples from patients with aSAH were collected within 24 h of aneurysmal rupture. Mass spectrometry-based metabolomics was performed to assess relative abundance of 16 metabolites involved in the tricarboxylic acid cycle, glycolysis, and pentose phosphate pathway. Principal component analysis was used to segregate control patients from patients with aSAH. Dendrograms were developed to depict correlations between metabolites and …

A Framework For Detecting Noncoding Rare-Variant Associations Of Large-Scale Whole-Genome Sequencing Studies, Zilin Li, Xihao Li, Hufeng Zhou, Sheila M Gaynor, Margaret Sunitha Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K Arnett, Paul L Auer, Lawrence F Bielak, Joshua C Bis, Thomas W Blackwell, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, Matthew P Conomos, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Paul S De Vries, Ravindranath Duggirala, Nora Franceschini, Barry I Freedman, Harald H H Göring, Xiuqing Guo, Rita R Kalyani, Charles Kooperberg, Brian G Kral, Leslie A Lange, Bridget M Lin, Ani Manichaikul, Alisa K Manning, Lisa W Martin, Rasika A Mathias, James B Meigs, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Susan Redline, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Kenneth M Rice, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Margaret A Taub, Ramachandran S Vasan, Daniel E Weeks, James G Wilson, Lisa R Yanek, Wei Zhao, Jerome I Rotter, Cristen J Willer, Pradeep Natarajan, Gina M Peloso, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate …

Single-Cell Crispr Immune Screens Reveal Immunological Roles Of Tumor Intrinsic Factors, Jiakai Hou, Shaoheng Liang, Chunyu Xu, Yanjun Wei, Yunfei Wang, Yukun Tan, Nidhi Sahni, Daniel J Mcgrail, Chantale Bernatchez, Michael Davies, Yumei Li, Rui Chen, S Stephen Yi, Yiwen Chen, Cassian Yee, Ken Chen, Weiyi Peng

Faculty, Staff and Student Publications

Genetic screens are widely exploited to develop novel therapeutic approaches for cancer treatment. With recent advances in single-cell technology, single-cell CRISPR screen (scCRISPR) platforms provide opportunities for target validation and mechanistic studies in a high-throughput manner. Here, we aim to establish scCRISPR platforms which are suitable for immune-related screens involving multiple cell types. We integrated two scCRISPR platforms, namely Perturb-seq and CROP-seq, with both in vitro and in vivo immune screens. By leveraging previously generated resources, we optimized experimental conditions and data analysis pipelines to achieve better consistency between results from high-throughput and individual validations. Furthermore, we evaluated the performance …

Luspatercept In Low-Risk Myelodysplastic Syndrome: A Real-World Single Institution Case Series, Shamis Khan, Sara Taveras Alam, Rosa Torres Ramos, John Etumbani Mbue, Effrosyni Apostolidou, Gustavo A Rivero, Sarvari Venkata Yellapragada

Faculty, Staff and Student Publications

No abstract provided.

Targeting The Mtor Pathway For The Prevention Of Er-Negative Breast Cancer, Abhijit Mazumdar, William M Tahaney, Jamal L Hill, Yun Zhang, Sumankalai Ramachandran, Jitesh Kawedia, Jing Qian, Alejandro Contreras, Michelle I Savage, Lana A Vornik, Shizuko Sei, Altaf Mohammed, Powel H Brown

Faculty, Staff and Student Publications

Our results show that everolimus delays mammary tumor formation in multiple mouse models, suggesting that mTOR inhibitors will be useful for the prevention of ER-negative and triple-negative breast cancer in humans. See related Spotlight, p. 787.

Human Loss-Of-Function Variants In The Serotonin 2c Receptor Associated With Obesity And Maladaptive Behavior, Yang He, Bas Brouwers, Hesong Liu, Hailan Liu, Katherine Lawler, Edson Mendes De Oliveira, Dong-Kee Lee, Yongjie Yang, Aaron R Cox, Julia M Keogh, Elana Henning, Rebecca Bounds, Aliki Perdikari, Vikram Ayinampudi, Chunmei Wang, Meng Yu, Longlong Tu, Nan Zhang, Na Yin, Junying Han, Nikolas A Scarcelli, Zili Yan, Kristine M Conde, Camille Potts, Jonathan C Bean, Mengjie Wang, Sean M Hartig, Lan Liao, Jianming Xu, Inês Barroso, Jacek Mokrosinski, Yong Xu, I Sadaf Farooqi

Children’s Nutrition Research Center Staff Publications

Serotonin reuptake inhibitors and receptor agonists are used to treat obesity, anxiety and depression. Here we studied the role of the serotonin 2C receptor (5-HT2CR) in weight regulation and behavior. Using exome sequencing of 2,548 people with severe obesity and 1,117 control individuals without obesity, we identified 13 rare variants in the gene encoding 5-HT2CR (HTR2C) in 19 unrelated people (3 males and 16 females). Eleven variants caused a loss of function in HEK293 cells. All people who carried variants had hyperphagia and some degree of maladaptive behavior. Knock-in male mice harboring a human loss-of-function HTR2C variant developed …

Development Of Myelinating Glia: An Overview, Carlo D Cristobal, Hyun Kyoung Lee

Duncan NRI Faculty and Staff Publications

Myelin is essential to nervous system function, playing roles in saltatory conduction and trophic support. Oligodendrocytes (OLs) and Schwann cells (SCs) form myelin in the central and peripheral nervous systems respectively and follow different developmental paths. OLs are neural stem-cell derived and follow an intrinsic developmental program resulting in a largely irreversible differentiation state. During embryonic development, OL precursor cells (OPCs) are produced in distinct waves originating from different locations in the central nervous system, with a subset developing into myelinating OLs. OPCs remain evenly distributed throughout life, providing a population of responsive, multifunctional cells with the capacity to remyelinate …

Propranolol Modulates Cerebellar Circuit Activity And Reduces Tremor., Joy Zhou, Meike E Van Der Heijden, Luis E Salazar Leon, Tao Lin, Lauren N Miterko, Dominic J Kizek, Ross M Perez, Matea Pavešković, Amanda M Brown, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Tremor is the most common movement disorder. Several drugs reduce tremor severity, but no cures are available. Propranolol, a β-adrenergic receptor blocker, is the leading treatment for tremor. However, the in vivo circuit mechanisms by which propranolol decreases tremor remain unclear. Here, we test whether propranolol modulates activity in the cerebellum, a key node in the tremor network. We investigated the effects of propranolol in healthy control mice and Car8^wdl/wdl mice, which exhibit pathophysiological tremor and ataxia due to cerebellar dysfunction. Propranolol reduced physiological tremor in control mice and reduced pathophysiological tremor in Car8^wdl/wdl mice to control levels. …

Non-Small Cell Lung Cancer With Met Exon 14 Skip Mutation: Case Report, Wolfgang Clough, Mira Al Jaberi, Samir Dalia

Student Publications

Background: Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, making up 80-85% of all lung malignancies. It can be further subdivided into different types. The three main subtypes are adenocarcinoma, squamous cell carcinoma, and large cell carcinoma. Traditionally, NSCLCs have been treated with a combination of chemotherapy, surgery, and/or radiation therapy. However, with the advent of genotype subtype analysis and targeted therapy it has become possible to have individualized treatment options for patients with NSCLC.

Case description: We present a case report of a 68-year-old female with NSCLC. Patient initially only received radiation therapy due …

Cdc’S Covid-19 Vaccination Messages And Public Engagement: A Study On Facebook Posts, Hasan Mahmud Faisal

Master's Theses

Government health agencies utilize social media for public health interventions. This study examines how CDC, the national public health agency of the United States, use Facebook to disseminate COVID-19 vaccine messages and to get public engagement towards them over the past two years (2020-2022). Investigating the process of dialogic potentials of Facebook from the dialogic theory of public relations perspective, the current study analyzes 681 posts and 3,405 comments from CDC’s official Facebook page. Thematic analysis of posts yields three dominant themes such as “Vaccine supportive”, “availability of vaccine”, and “up to date information”. Comment analysis shows positive sentiment to …

Plant Productivity And Diversity In Coastal Wetlands In Mississippi – Impact Of Hydrological Extremes, Kodi Feldpausch

Master's Theses

Wetlands are highly productive ecosystems that provide important ecosystem services and are threatened by extreme hydrological events. I evaluated how diversion of freshwater like Bonnet Carré Spillway openings in Louisiana, US, affected vegetation productivity and diversity in salt marshes on the neighboring Mississippi Gulf Coast, US. My study area is two estuarine systems that differ in their proximity to the Bonnet Carré Spillway, elevation, and salinity including Hancock County Marshes on the west, and Grand Bay National Estuarine Research Reserve (NERR) on the east in Mississippi. I collected above- and belowground biomass samples in 2020 and 2021, developed linear mixed-effects …

Fabrication Of Solar Absorber Tube With Internal Fin Structure With In718 And Effect Of Boron With In718 For Solar Absorber Tube Using Selective Laser Melting 3d Printing Technology, Naznin Nuria Afrin

Theses and Dissertations

This research aimed to fabricate Solar Absorber Tubes for Solar-Thermal Power Plant with internal fin structures using Selective Laser Melting (SLM) technology. In this study, we investigated the effect of B with IN718 in 3D printing using SLM for solar absorber tubes. The objective was to study the material-process-properties relationship with goal to identify and validate the optimal parameters for the SLM process. Material selected for this study was IN718 with 0.5% and 1% B particle mixed using a V-shape mixing machine. The flowability test was conducted using the Angle of Repose (AOR) method. 3D printed samples …

Development Of Vegetable Oil-Based Nano-Lubricants Using Ag, H-Bn And Mgo Nanoparticles As Lubricant Additives, Kollol Sarker Jogesh

Theses and Dissertations

Because of the harmful impact of petroleum-based lubricant on the environment and human body, vegetable oil-based lubricant with eco-friendly nanoparticles has a great potential to be an alternative lubricant if it possesses proper lubricating properties. In this study, thermal conductivity, viscosity and tribological properties (wear scar diameter and coefficient of friction) of vegetable oil-based nanolubricant, developed from soybean oil and sunflower oil, modified with Ag, h-BN and MgO nanoparticles as lubricant additives, were evaluated. For thermal conductivity evaluation, a line heat source method was used with KD2 Pro-Thermal Property Analyzer. For viscosity evaluation, Haake Mars 40-rheometer was used to evaluate …

Influence Of Pretreatments On Physiological Status And Post-Planting Survival Of Thornforest Seedlings In A Restoration Context, Douglas E. Mainhart

Theses and Dissertations

Semi-arid ecosystems across the globe have faced land conversion posing a threat to the important ecosystem services they provide. Revegetation-centered restoration efforts in arid regions have low success due to limited water availability and higher temperatures. Typically, practitioners utilize methods that modify field conditions around seedlings to mitigate these stressors. I evaluated the efficacy of in-nursery treatments to improve plant water status. Three pretreatments were applied: elevated CO2, drought hardening, and an antitranspirant foliar spray. My goal was to understand how these pretreatments would impact survival and growth in the field and what physiological traits they altered. Elevated CO2 and …

Exploring The Interpersonal, Leadership, And Organizational Factors Related To The Burnout Of Bilingual, Latinx Professional School Counselors [Explorando Los Factores Interpersonales, De Liderazgo Y Organizacionales Relacionados Con El Agotamiento De Los Consejeros Escolares Profesionales Bilingües Y Latine], Crystal Marie Prado

Theses and Dissertations

This study explored the relationship between interpersonal competencies, educational leadership styles of campus principals, organizational practices, and the burnout of professional school counselors (PSCs). A mixed-methods research design was utilized to examine the correlation between identified predictor variables and the level of burnout as measured by the five dimensions of the Counselor Burnout Inventory (CBI; Lee et al., 2007), the three subscales of the Maslach Burnout Inventory: Educators Survey (MBI-ES, Maslach et al., 1986), and personal narratives documenting the participating PSC's most significant professional experiences. The investigation included 100 bilingual, Latinx PSCs from four urban/suburban school districts of border towns …

Incorporating Native Plants In Insectary Strips To Promote Insect Diversity And Below-Ground Beneficial Microbes In South Texas, Lindsey N. Richards

Theses and Dissertations

Farm edges are generally the most undisturbed areas in a farm with diverse vegetation and can enhance agrobiodiversity and provide crucial food and shelter for wildlife, insects, and soil biota. Planting native wildflowers with the ability to reseed and withstand local climatic conditions for semi-permanent vegetation around farm edges or in between crops has potential to biologically control pests. To test this, we ran a two-year study and installed three different flowering insectary strips on a certified organic vegetable farm in South Texas during the winter season. The treatments were: 1) a commercially sourced 17-species native wildflower seed mix; 2) …