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Characterization Of The Isothermal Titration Calorimetry Single Injection Method Using T4 Polynucleotide Kinase As A Model System For Kinases, Rebecca Chaehee Lim Dec 2022

Characterization Of The Isothermal Titration Calorimetry Single Injection Method Using T4 Polynucleotide Kinase As A Model System For Kinases, Rebecca Chaehee Lim

UNLV Theses, Dissertations, Professional Papers, and Capstones

Kinases are an important class of enzymes involved in the regulation of different cellular processes. The dysfunctional activity, either hyperactivity or inactivity, of kinases has been associated with many types of diseases, making kinases a major therapeutic target. As of 2020, more than 80 kinase inhibitors have been FDA-approved and have revolutionized the treatment for progressive disorders such as cancers and Alzheimer's diseases. However, there is always the possibility of developing severe side effects or resistance to drugs so the search for new therapeutics must continue with efficiency and accuracy.Isothermal titration calorimetry (ITC) is a state-of-the-art technique specialized in detecting …

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Transient Sources And How To Study Them: Selected Topics In Multi-Messenger Astronomy, Jiawei Luo Dec 2022

Transient Sources And How To Study Them: Selected Topics In Multi-Messenger Astronomy, Jiawei Luo

UNLV Theses, Dissertations, Professional Papers, and Capstones

The discovery of cosmic neutrino flux by IceCube, and the multi-messenger observations of gravitational event GW170817 ushered in the era of multi-messenger astronomy. Since the Universe itself is a natural laboratory, multi-messenger astronomy can help us study the most extreme physics processes in great detail. In this dissertation, we touch on some of the currently unanswered questions involving different types of transient sources and different “messengers” of multi-messenger astronomy. We employ a variety of analysis methods, including machine learning, a method that has not yet been widely adopted in astronomy but is rapidly gaining momentum.We start this dissertation with Chapter …

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Mechanoelectrical Behavior In Polyvinyl Chloride (Pvc) Based Soft Polymer Gel Smart Sensors For Soft Robotic Applications, Justin Neubauer Dec 2022

Mechanoelectrical Behavior In Polyvinyl Chloride (Pvc) Based Soft Polymer Gel Smart Sensors For Soft Robotic Applications, Justin Neubauer

UNLV Theses, Dissertations, Professional Papers, and Capstones

Polyvinyl chloride (PVC) gels are a class of electroactive polymer that contain a PVC-based polymeric lattice and various amounts of plasticizer. PVC and plasticizer are industrially available and are commonly used in a wide range of applications including cable insulation, flexible hosing, and healthcare equipment. There are many plasticizer types available, some being extremely biocompatible with implementations in food-safe applications and even food additives for human consumption. Plasticizer weakly bonds to the long polymerized chains of the polymer lattice decreasing the modulus of the composite material. By adding excessive amounts of plasticizer, the bonding sites of these long carbon chains …

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Along Strike Tectonic Evolution Of The Neogene Bermejo Foreland Basin And Eastern Precordillera Thrust Front, Argentina (30-32ºs), Zoey Catherine Plonka Dec 2022

Along Strike Tectonic Evolution Of The Neogene Bermejo Foreland Basin And Eastern Precordillera Thrust Front, Argentina (30-32ºs), Zoey Catherine Plonka

UNLV Theses, Dissertations, Professional Papers, and Capstones

The Bermejo retroarc foreland basin system formed in flexural response to Miocene crustal thickening in the Andean orogenic system, specifically, the eastward propagation of the Precordillera fold-thrust belt and the basement-involved uplift of the Sierras Pampeanas. Previous work in the area has mainly focused on the mechanisms and expression of flat slab subduction and the structural geometry of the basement-involved Sierras Pampeanas and east-vergent Precordillera fold-thrust belt at depth. Much of this work has furthered the understanding of Bermejo basin evolution north of 31ºS, however debate still exists whether the N-S trending Bermejo basin evolved synchronously or asynchronously through time. …

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Mesozoic Sevier Thrusts Overprinted By Miocene-Quaternary Left-Lateral Deformation: Structures And Tectonism Of The Kane Springs Wash Region, Nevada, Andrew Reid Dec 2022

Mesozoic Sevier Thrusts Overprinted By Miocene-Quaternary Left-Lateral Deformation: Structures And Tectonism Of The Kane Springs Wash Region, Nevada, Andrew Reid

UNLV Theses, Dissertations, Professional Papers, and Capstones

Recognizing how rifts develop through space and time is vital to enrich our understanding of continental breakup. Rifts are commonly segmented by transfer or accommodations zones that form as the rift develops due to differences in the onset, direction, magnitude, or rates of extension on either side of the transfer or accommodation zone. The Basin and Range province is a wide rift where Cenozoic extension overprints and exposes earlier Mesozoic Sevier fold-thrust belt shortening structures. This exposure allows Sevier thrust correlations between individual mountain ranges and use of these shortening structures to study rift segmentation by strike-slip transfer faults. The …

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Comparing Forgetting Rates Between Pattern Separation And Item Recognition, Rhiannon N. Soriano Smith Dec 2022

Comparing Forgetting Rates Between Pattern Separation And Item Recognition, Rhiannon N. Soriano Smith

UNLV Theses, Dissertations, Professional Papers, and Capstones

Recent theories of forgetting posit that hippocampally-based memory representations are more prone to be forgotten due to decay, while extra-hippocampal representations are more likely to be forgotten due to interference (Hardt, Nader, & Nadel, 2013; Sadeh & Pertzov, 2020). The current study examined this hypothesis by comparing the rate of forgetting between pattern separation, a hippocampally-based process, and item recognition, a process that is reliant on both hippocampal and extra-hippocampal structures. It was hypothesized that pattern separation would display more forgetting due to decay because it is a hippocampally-based process, while item recognition would display more forgetting due to interference …

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Bayesian Nonparametric Regression Models For Insurance Claims Frequency And Severity, Mostafa Shams Esfand Abadi Dec 2022

Bayesian Nonparametric Regression Models For Insurance Claims Frequency And Severity, Mostafa Shams Esfand Abadi

UNLV Theses, Dissertations, Professional Papers, and Capstones

The prediction of future insurance claims frequency and severity is one of the most important problems in actuarial science. Such predictions help the actuary set insurance premiums based on observed risk factors, or covariates. Accuracy of these predictions is important from the point of view of both the insurance company as well as the insured customer. Typically, actuaries use parametric regression models to predict claims based on the covariate information. Such models assume the same functional form tying the response to the covariates for each data point. These models are not flexible enough and fail to accurately capture at the …

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Real–Time Semantic Segmentation For Railway Anomalies Analysis, Paul Stanik Iii Dec 2022

Real–Time Semantic Segmentation For Railway Anomalies Analysis, Paul Stanik Iii

UNLV Theses, Dissertations, Professional Papers, and Capstones

In the past few years, computer vision has made huge jumps due to deep learning which leverages increased computational power and access to data. The computer vision community has also embraced transparency to accelerate research progress by sharing open datasets and open source code. Access to large scale datasets and benchmark challenges propelled and opened the field. The autonomous vehicle community is a prime example. While there has been significant growth in the automotive vision community, not much has been done in the rail domain. Traditional rail inspection methods require special trains that are run during down time, have sensitive …

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Retrospective Varying Coefficient Association Analysis Of Longitudinal Binary Traits, Gang Xu Dec 2022

Retrospective Varying Coefficient Association Analysis Of Longitudinal Binary Traits, Gang Xu

UNLV Theses, Dissertations, Professional Papers, and Capstones

Many genetic studies contain rich information on longitudinal phenotypes that require powerful analytical tools for optimal analysis. Genetic analysis of longitudinal data that incorporates temporal variation is important for understanding the genetic architecture and biological variation of complex diseases. Most of the existing methods assume that the contribution of genetic variants is constant over time and fails to capture the dynamic pattern of disease progression. However, the relative influence of genetic variants on complex traits fluctuates over time.We developed several tests to fill the gap of analyzing time-varying genetic effects in longitudinal GWAS for binary traits. First, we propose a …

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Quantifying The Effect Of Disturbance On Native Mojave Desert Shrubs, Tamara J. Wynne Dec 2022

Quantifying The Effect Of Disturbance On Native Mojave Desert Shrubs, Tamara J. Wynne

UNLV Theses, Dissertations, Professional Papers, and Capstones

Disturbance can come in many different forms. In our studies, we looked at the impact of a solar photovoltaic facility on native plants growing inside and outside of the facility, alteration in precipitation (simulated) on four native shrubs and the impact of applying supplemental water as a function of volume and frequency to establish native shrubs such as might occur at restoration sites. Disturbance is becoming a more common phenomenon in many ecosystems throughout the world, increasing the need for studies that quantify the impact at the plant and ecosystem level. Each research project revealed different plant responses, such as …

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Paleoenvironmental Changes Across The Devonian-Carboniferous Transition, Audrey M. Warren Dec 2022

Paleoenvironmental Changes Across The Devonian-Carboniferous Transition, Audrey M. Warren

UNLV Theses, Dissertations, Professional Papers, and Capstones

The Devonian-Carboniferous (D-C) transition was a critical interval in earth history, witnessing profound environmental changes associated with plant and animal evolution and extinction. Two first-order mass extinctions occurred leading up to the D-C boundary: the Kellwasser Event at the Frasnian-Famennian (F-F) boundary (~371 Ma) and the D-C boundary Hangenberg Event (~359 Ma). Both events were associated with significant sea level changes and major carbon cycle perturbations, evidenced by widespread deposition of black shale and positive carbon isotope (δ13C) excursions, all of which have been used to correlate these events across the globe. Because preservation of black shale requires anoxic conditions, …

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Activity-Based Intervention And One-To-One Correspondence For Children With Developmental Delays, Cyndy Anang Dec 2022

Activity-Based Intervention And One-To-One Correspondence For Children With Developmental Delays, Cyndy Anang

UNLV Theses, Dissertations, Professional Papers, and Capstones

PreK children with developmental delays in inclusive classrooms need access to math interventions helps them develop foundational math skills that are needed to succeed during their K-12 education. Research is significantly lacking that addresses increasing math skills for children with disabilities in PreK classrooms. The purpose of this study was to examine how using activity-based intervention (ABI) increases one-to-one correspondence for children with disabilities in an inclusive classroom. A single subject multiple probe design across participants was implemented to embed one-to-one correspondence math goals into daily routines and preferred activities. The participants of the study were two 3–5-year-old children categorized …

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Predicting Student Success In A K-12 Online School, Andrea Connolly Dec 2022

Predicting Student Success In A K-12 Online School, Andrea Connolly

UNLV Theses, Dissertations, Professional Papers, and Capstones

Given the rapid growth of K-12 online learning, research is needed in the effective identification of at-risk students so that administrators and teachers can develop appropriate supports and interventions. The purpose of this research was to determine if student success in an online course could be predicted for English Learners (EL) using identifiable student characteristics and traits. This study looked at the student traits of behavior, structure, and demographics to determine if they could be used as predictive variables for successful course completion in a K-12 online course. The behavior characteristics were measured by a survey tool and were identified …

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Raising The Bar Of Leadership Awareness For Understanding Student Trauma, Roxanne L. James Dec 2022

Raising The Bar Of Leadership Awareness For Understanding Student Trauma, Roxanne L. James

UNLV Theses, Dissertations, Professional Papers, and Capstones

This paper analyzes if family structure and school mobility indicators can predict natural matriculation from middle school using a newly created tool, the Biographic Analytic Rubric, BAR. To answer this question, I used BAR-coded data from 26,233 8th-grade students to see if their risk score predicted their natural matriculation from middle school. The results revealed that the higher the BAR risk score indicator a student has, the less likely they will matriculate from middle school naturally. School leaders may utilize this tool as an early warning system when students enroll in middle school to ascertain which students may need additional …

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Easing The Middle To High School Transition: An Evaluation Of The Gold Program, Leilani Shive Dec 2022

Easing The Middle To High School Transition: An Evaluation Of The Gold Program, Leilani Shive

UNLV Theses, Dissertations, Professional Papers, and Capstones

Some effective components of effective transition programs include using a freshman academy or school-within-a-school model, teacher and peer mentoring and summer bridge programs. This study analyzed the effectiveness of the Gold Program, a middle to high school transition program for at-risk youth in a large urban high school in the southwestern United States. This program incorporated those components in addition to several others, such as: parent involvement, career and technical education, blended learning, behavior interventions, and Air Force Junior Reserve Officer Training Corps (AFJROTC). Individual components of the Gold Program were chosen to meet the four S’s of Schlossberg’s transition …

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Display Applications For Grating Angle Magnification Accelerated Angular Scanners, Daniel Jesus Valdes Dec 2022

Display Applications For Grating Angle Magnification Accelerated Angular Scanners, Daniel Jesus Valdes

UNLV Theses, Dissertations, Professional Papers, and Capstones

This work includes experimental demonstrations of grating angle magnification accelerated optical beam scanners. Diffraction grating scanners governed by the grating equation can have scan speed advantages over the flat mirror bound by Snell's law of reflection. Scan speed enhancement of 750% was achieved with a 635nm laser and 1800 groove/mm diffraction grating configuration thanks to the grating angle magnification. A three-color diffraction grating scanner shows identical results at larger scan angles. Tunable acceleration speed is a feature enabled by the diffraction grating scanner to operate in a high-speed scanning region and/or high-resolution scanning region depending on the demands of the …

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Beyond The Numbers: A Deeper Dive Into The Dearth Of Girls And Women In Stem, Jennifer John Buck Dec 2022

Beyond The Numbers: A Deeper Dive Into The Dearth Of Girls And Women In Stem, Jennifer John Buck

UNLV Theses, Dissertations, Professional Papers, and Capstones

Despite decades of research attempting to better understand the dearth of girls and women in science, technology, engineering, and math (STEM), gender imbalances persist in many STEM fields. This is particularly the case in math-intensive STEM fields. The current program of research used mixed-methods research to better understand these inequities. The first paper identified gender and ethnic variation in how undergraduates reason about STEM inequities. The second paper found that how emerging adults narrate “turning points” in their relationship with math was associated with their current math outcomes and future plans to pursue math. The final paper demonstrated that how …

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Jiapi: A Type Checker Generator For Statically Typed Languages, Benjamin Cisneros Merino Dec 2022

Jiapi: A Type Checker Generator For Statically Typed Languages, Benjamin Cisneros Merino

UNLV Theses, Dissertations, Professional Papers, and Capstones

Type systems are a key characteristic in the context of the study of programming languages. They frequently offer a simple, intuitive way of expressing and testing the fundamental structure of programs. This is especially true when types are used to provide formal, machine-checked documentation for an implementation. For example, the absence of type errors in code prior to execution is what type systems for static programming languages are designed to assure, and in the literature, type systems that satisfy this requirement are referred to as sound type systems. Types also define module interfaces, making them essential for achieving and maintaining …

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Payment Profiles: Using Payment Transaction Data To Identify And Characterize Gamblers, Kasra Ghaharian Dec 2022

Payment Profiles: Using Payment Transaction Data To Identify And Characterize Gamblers, Kasra Ghaharian

UNLV Theses, Dissertations, Professional Papers, and Capstones

Payment providers in the gambling industry facilitate transactions, allowing customers to transfer money to and from wagering accounts. Payments transaction data is information that is captured from these transactions, including, for example, the type, amount, time, and location. How this data may be used for gambling harm minimization and prevention has garnered significant interest, particularly due to accelerated payments modernization in the wake of the COVID-19 pandemic. With this study, I explored the utility of payments transaction data to categorize subgroups of gamblers in order to identify individuals who may be at-risk of harm. I benchmarked six cluster analysis methods …

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Calcite Spherulite Formations And Their Controls In Halophilic Bacterial Cultures, Zakaria Jibrin Dec 2022

Calcite Spherulite Formations And Their Controls In Halophilic Bacterial Cultures, Zakaria Jibrin

UNLV Theses, Dissertations, Professional Papers, and Capstones

This study arose from an accidental discovery of calcite spherulites forming on colonies of various halophilic bacteria grown on solid Luria-Bertani medium made containing water from a brine pool in Death Valley, their natural habitat. Further studies with a large spherulite forming bacteria, Pseudoalteromonas haloplanktis, showed that calcite precipitation conditions were the consequence of bacteria using amino acids as a source of carbon and energy, a metabolism that produces NH3 and CO2 waste products. NH3 raises the pH of the medium, turning CO2 into CO32-. Calcium in the natural brine combines with CO32-. The resulting spherulitic calcite precipitation is nano-acicular …

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The Metabolic Change Of Lipid Species In Stam Mice With Hepatocellular Carcinoma, Devin J. Peart Dec 2022

The Metabolic Change Of Lipid Species In Stam Mice With Hepatocellular Carcinoma, Devin J. Peart

UNLV Theses, Dissertations, Professional Papers, and Capstones

Primary liver cancer hepatocellular carcinoma (HCC) is the second leading cause of cancer death worldwide. In the US, primary liver cancer is the most rapidly increasing type of cancer due to increases in hepatitis B and C and the continued trend of greater and greater percentages of the population suffering from obesity, diabetes mellitus and metabolic syndrome. The prognosis for this disease is poor, with a 5-year survival rate of 26% as compared to only 2% when the cancer is metastatic. Unfortunately, current strategies for early detection of HCC, including routine CT imaging or alpha-fetoprotein biomarker, are suboptimal and tend …

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Day ‘N’ Nite: Habitability Of Tidally Locked Planets With Sporadic Rotation, Cody James Shakespeare Dec 2022

Day ‘N’ Nite: Habitability Of Tidally Locked Planets With Sporadic Rotation, Cody James Shakespeare

UNLV Theses, Dissertations, Professional Papers, and Capstones

Tidally locked worlds provide a unique opportunity for constraining the climates of detected exoplanets. They are unique in that few exoplanet spin and obliquity states are known or will be determined in the near future. The TRAPPIST-1 exoplanet system has multiple habitable zone planets that, in the past, have been presumed to be tidally locked. However, a recent study shows the dynamical conditions present in the TRAPPIST-1 system make rotation and large librations possible spin states for these planets. I confirm the tendency for these planets to sporadically transition from tidally locked libration to slow rotation using N-body simulations independent …

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What Can General Chemistry Students Learn From External Representations Of Acid- Base Titrations?, Nicole Baldwin Dec 2022

What Can General Chemistry Students Learn From External Representations Of Acid- Base Titrations?, Nicole Baldwin

UNLV Theses, Dissertations, Professional Papers, and Capstones

Laboratory activities are a prevalent and essential part of chemistry learning because of their potential to help students develop problem solving abilities, visualize chemistry concepts learned in lecture, and gain practical skills. However, learning in the laboratory environment is not without its challenges. For example, cookbook-style chemistry laboratories can promote superficial learning, and cognitive overload can result from the study of new concepts and the use of new procedures in this environment. Multiple pedagogies and supports have been developed to address challenges such as these. The current research focuses upon external representations that are commonly used to support learning in …

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The Solution-Focused Circle Technique: A Visual Tool For Discovering Strengths And Facilitating Change In Therapy And Counseling, Arnoud Huibers, Ben Furman Dec 2022

The Solution-Focused Circle Technique: A Visual Tool For Discovering Strengths And Facilitating Change In Therapy And Counseling, Arnoud Huibers, Ben Furman

Journal of Solution Focused Practices

The Circle Technique is a solution-focused tool for discovering clients' resources, competencies and desired changes, essential aspects of solution-focused psychology. Using two concentric circles, the practitioner guides the client to find resources and ideas about what they want to change and solutions they can use within their social context. The visual tool allows the practitioner and the client to act as explorers, like Marco Polo or Columbus, discovering new worlds. The Circle Technique can be applied in diverse settings to empower a wide range of clients to find valuable ideas. The information found with the help of the circles feels …

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Towards The Electronic Response Of Carbon-Based Van Der Waals Heterostructures In A Diamond Anvil Cell, George Thomas Foskaris Dec 2022

Towards The Electronic Response Of Carbon-Based Van Der Waals Heterostructures In A Diamond Anvil Cell, George Thomas Foskaris

UNLV Theses, Dissertations, Professional Papers, and Capstones

The nanoscale regime of materials has been at the forefront of research and interest in condensed matter physics for many years. In a merger of the fields of two-dimensional (2D) materials and high pressure physics, we present an investigation of the electronic response of carbon-based, van der Waals (vdW) heterostructures in a diamond anvil cell (DAC). Combining these fields presents us with the ability to study the characteristics of such systems both optically, and through electrical transport. Properties such as conductance, band structure, and layer number are considered. The samples in this study are assembled using exfoliation and stacking techniques …

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Strengthening The Southern Nevada Workforce Pipeline, Katie M. Gilbertson Nov 2022

Strengthening The Southern Nevada Workforce Pipeline, Katie M. Gilbertson

Policy Briefs and Reports

This report analyzes the Southern Nevada employment ecosystem by utilizing occupational clusters recognized by the U.S. Department of Labor. The first section examines occupations in the tourism industry using three occupational clusters: hospitality and leisure; arts, audio/video technology and communications; and the transportation, distribution, and logistics. Next, this report utilizes the Las Vegas Global Economic Alliance’s 2022 Workforce Blueprint to identify the top 15 in-demand occupations for Southern Nevada and occupational clusters. A case study of the MGM College Opportunity Program (COP) is presented to demonstrate an existing workforce training program that promotes upward mobility of leisure and hospitality employees …

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Macroscale Superdurable Superlubricity Achieved In Lubricant Oil Via Operando Tribochemical Formation Of Fullerene-Like Carbon, Jingjie Pan, Xinxin Gao, Chang Liu, Kan Zhang, Weitao Zheng, Changfeng Chen Nov 2022

Macroscale Superdurable Superlubricity Achieved In Lubricant Oil Via Operando Tribochemical Formation Of Fullerene-Like Carbon, Jingjie Pan, Xinxin Gao, Chang Liu, Kan Zhang, Weitao Zheng, Changfeng Chen

Physics & Astronomy Faculty Research

Friction and wear are ubiquitous in moving mechanical assemblies, causing energy and equipment loss and producing harmful emissions. Mitigation efforts have long relied on oil-based lubricants, but challenges remain in achieving concurrent ultralow friction and wear without oil additives. Here, we demonstrate that a dual-phase TiB2-MoS2 film lubricated by oil without additives exhibits superdurable superlubricity characterized by a vanishingly small friction coefficient (0.007) and ultralow wear rate (10−9 mm3N−1m−1) maintained in lubricants over an unprecedentedly long sliding distance without performance deterioration. We identify a tribochemical route for the decomposition of oil molecules catalytically activated by the TiB2-MoS2 film, leading to …

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Deep Learning‑Based Framework For Slide‑Based Histopathological Image Analysis, Sai Kosaraju, Jeongyeon Park, Hyun Lee, Jung Wook Yang, Mingon Kang Nov 2022

Deep Learning‑Based Framework For Slide‑Based Histopathological Image Analysis, Sai Kosaraju, Jeongyeon Park, Hyun Lee, Jung Wook Yang, Mingon Kang

Computer Science Faculty Research

Digital pathology coupled with advanced machine learning (e.g., deep learning) has been changing the paradigm of whole-slide histopathological images (WSIs) analysis. Major applications in digital pathology using machine learning include automatic cancer classification, survival analysis, and subtyping from pathological images. While most pathological image analyses are based on patch-wise processing due to the extremely large size of histopathology images, there are several applications that predict a single clinical outcome or perform pathological diagnosis per slide (e.g., cancer classification, survival analysis). However, current slide-based analyses are task-dependent, and a general framework of slide-based analysis in WSI has been seldom investigated. We …

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The Assembly Of Mammalian Swi/Snfchromatin Remodeling Complexes Is Regulated By Lysine-Methylation Dependent Proteolysis, Pengfei Guo, Nam Hoang, Joseph Sanchez, Elaine H. Zhang, Keshari Rajawasam, Kristiana Trinidad, Hong Sun, Hui Zhang Nov 2022

The Assembly Of Mammalian Swi/Snfchromatin Remodeling Complexes Is Regulated By Lysine-Methylation Dependent Proteolysis, Pengfei Guo, Nam Hoang, Joseph Sanchez, Elaine H. Zhang, Keshari Rajawasam, Kristiana Trinidad, Hong Sun, Hui Zhang

Chemistry and Biochemistry Faculty Research

The assembly of mammalian SWI/SNF chromatin remodeling complexes is developmentally programed, and loss/mutations of SWI/SNF subunits alter the levels of other components through proteolysis, causing cancers. Here, we show that mouse Lsd1/Kdm1a deletion causes dramatic dissolution of SWI/SNF complexes and that LSD1 demethylates the methylated lysine residues in SMARCC1 and SMARCC2 to preserve the structural integrity of SWI/SNF complexes. The methylated SMARCC1/SMARCC2 are targeted for proteolysis by L3MBTL3 and the CRL4DCAF5 ubiquitin ligase complex. We identify SMARCC1 as the critical target of LSD1 and L3MBTL3 to maintain the pluripotency and self-renewal of embryonic stem cells. L3MBTL3 also regulates SMARCC1/SMARCC2 proteolysis …

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How Dynamic Adsorption Controls Surfactant‑Enhanced Boiling, Mario R. Mata, Brandon Ortiz, Dhruv Luhar, Vesper Evereux, H. Jeremy Cho Oct 2022

How Dynamic Adsorption Controls Surfactant‑Enhanced Boiling, Mario R. Mata, Brandon Ortiz, Dhruv Luhar, Vesper Evereux, H. Jeremy Cho

Mechanical Engineering Faculty Research

Improving boiling is challenging due to the unpredictable nature of bubbles. One way to enhance boiling is with surfactants, which alter the solid–liquid and liquid–vapor interfaces. The conventional wisdom established by previous studies suggests that heat transfer enhancement is optimized near the critical micelle concentration (CMC), which is an equilibrium property that depends on surfactant type. However, these studies only tested a limited number of surfactants over small concentration ranges. Here, we test a larger variety of nonionic and anionic surfactants over the widest concentration range and find that a universal, optimal concentration range exists, irrespective of CMC. To explain …

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