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2022

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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 …


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 …


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 …


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. …


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 …


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 …


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 …


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 …


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 …


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 …


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, …


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 …


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 …


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 …


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 …


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 …


Improved Computational Prediction Of Function And Structural Representation Of Self-Cleaving Ribozymes With Enhanced Parameter Selection And Library Design, James D. Beck Dec 2022

Improved Computational Prediction Of Function And Structural Representation Of Self-Cleaving Ribozymes With Enhanced Parameter Selection And Library Design, James D. Beck

Boise State University Theses and Dissertations

Biomolecules could be engineered to solve many societal challenges, including disease diagnosis and treatment, environmental sustainability, and food security. However, our limited understanding of how mutational variants alter molecular structures and functional performance has constrained the potential of important technological advances, such as high-throughput sequencing and gene editing. Ribonuleic Acid (RNA) sequences are thought to play a central role within many of these challenges. Their continual discovery throughout all domains of life is evidence of their significant biological importance (Weinreb et al., 2016). The self-cleaving ribozyme is a class of noncoding Ribonuleic Acid (ncRNA) that has been useful for …


Communicating Multiplicative Reasoning Through Semiotic Resources, Emilie N. Eisenberger Dec 2022

Communicating Multiplicative Reasoning Through Semiotic Resources, Emilie N. Eisenberger

Boise State University Theses and Dissertations

The importance of fostering in students the requisite language to understand what is being communicated and how to communicate their understanding requires educators to conceptualize themselves as teachers of language and content. It is possible to engage in activities of the mathematics classroom and through that participation engage in language practices and mathematical practices simultaneously. The purpose of this study was to explore the use of semiotic resources, and modality, with a student-generated tool on students’ communication of multiplicative reasoning.

The study design was a qualitative case study that included a single third-grade class with an in-depth look at six …


Tinkering Towards Theories: The Role Of Tinkering In Building Scientific Models, Shakayla Moran Dec 2022

Tinkering Towards Theories: The Role Of Tinkering In Building Scientific Models, Shakayla Moran

Boise State University Theses and Dissertations

Tinkering and modeling have increasingly gained traction within science education. For this study, I adopt the construct of tinkering, which is usually applied to the development of tangible artifacts and consider how this activity might apply to the development of novel models and theoretical objects in science. Data was collected from student artifacts and coding of transcripts was performed to identify how students design models in science, with a focus on how students engage in tinkering when doing so. Using a multiple case study approach, I examined two cases of undergraduate pre-service science teachers’ development of models of light and …


(R1989) Mixed Convection Slippery Cross Fluid Flow Due To A Stratified Sheet Under The Effect Of Radiation Phenomenon, Nourhan I. Ghoneim, Ahmed M. Megahed Dec 2022

(R1989) Mixed Convection Slippery Cross Fluid Flow Due To A Stratified Sheet Under The Effect Of Radiation Phenomenon, Nourhan I. Ghoneim, Ahmed M. Megahed

Applications and Applied Mathematics: An International Journal (AAM)

In view of the meaning of a two dimensional laminar Cross liquid in depicting an exhaustive assortment of experimental information, an assessment is done for a numerical and mathematical arrangement over a stratified extensible sheet. The non-dimensionality technique is brought into the controlling equations within the sight of the slip phenomenon and to make the solution more thorough. The data have been taken at a steady, viscous and laminar ow. Heat transfer across fluid is employed as a non-Newtonian fluid, where the fluid has a affected by radiation. Additionally, thermal radiation and heat generation are considered with the basic influence …


(R1976) A Novel Approach To Solve Fuzzy Rough Matrix Game With Two Players, Vinod Jangid, Ganesh Kumar, Gaurav Sharama, Vishnu Narayan Mishra Dec 2022

(R1976) A Novel Approach To Solve Fuzzy Rough Matrix Game With Two Players, Vinod Jangid, Ganesh Kumar, Gaurav Sharama, Vishnu Narayan Mishra

Applications and Applied Mathematics: An International Journal (AAM)

This paper proposes a new method for solving a two-person zero-sum fuzzy matrix game with goals, payoffs, and decision variables represented as triangular fuzzy rough numbers. We created a pair of fully fuzzy rough linear programming problems for players. Triangular fuzzy rough numbers can be used to formulate two fuzzy linear programming problems for the first player in the form of upper approximation intervals and lower approximation intervals. Two problems for the second player can be created in the same way. These problems have been split into five sub-crisp problems for the player first and five sub-crisp problems for the …


(R1518) The Dual Spherical Curves And Surfaces In Terms Of Vectorial Moments, Süleyman Şenyurt, Abdussamet Çalışkan Dec 2022

(R1518) The Dual Spherical Curves And Surfaces In Terms Of Vectorial Moments, Süleyman Şenyurt, Abdussamet Çalışkan

Applications and Applied Mathematics: An International Journal (AAM)

In the article, the parametric expressions of the dual ruled surfaces are expressed in terms of the vectorial moments of the Frenet vectors. The integral invariants of these surfaces are calculated. It is seen that the dual parts of these invariants can be stated by the real terms. Finally, we present examples of the ruled surfaces with bases such as helix and Viviani’s curves.


Intelligent Autonomous Inspections Using Deep Learning And Detection Markers, Alejandro Martinez Acosta Dec 2022

Intelligent Autonomous Inspections Using Deep Learning And Detection Markers, Alejandro Martinez Acosta

Open Access Theses & Dissertations

Inspection of industrial and scientific facilities is a crucial task that must be performed regularly. These inspections tasks ensure that the facilityâ??s structure is in safe operational conditions for humans. Furthermore,the safe operation of industrial machinery, is dependent on the conditions of the environment. For safety reasons, inspections for both structural integrity and equipment is often manually performed by operators or technicians. Naturally, this is often a tedious and laborious task. Additionally, buildings and structures frequently contain hard to reach or dangerous areas, which leads to the harm, injury or death of humans. Autonomous robotic systems offer an attractive solution …


Full Issue: 14(5) 2022 - Special Issue: Foreign Interference In Higher Education Dec 2022

Full Issue: 14(5) 2022 - Special Issue: Foreign Interference In Higher Education

Journal of Comparative & International Higher Education

No abstract provided.


The Applicability Of Joint Source-Channel Coding Systems To Aeronautical Mobile Telemetry Data, Jesse Richmond Dec 2022

The Applicability Of Joint Source-Channel Coding Systems To Aeronautical Mobile Telemetry Data, Jesse Richmond

Theses and Dissertations

Broadcast spectrum restrictions require greater efficiency from wireless transmission systems, particularly in applications where sections of spectrum previously reserved for military purposes have been sold to private interests. A joint source-channel coding system, in tandem with smart data selection techniques, is proposed as a potential solution to this problem. The workings of this joint source-channel coding system are detailed, with particular attention given to the decoding process.


Hybrid Machine Learning And Physics-Based Modeling Approaches For Process Control And Optimization, Junho Park Dec 2022

Hybrid Machine Learning And Physics-Based Modeling Approaches For Process Control And Optimization, Junho Park

Theses and Dissertations

Transformer neural networks have made a significant impact on natural language processing. The Transformer network self-attention mechanism effectively addresses the vanishing gradient problem that limits a network learning capability, especially when the time series gets longer or the size of the network gets deeper. This dissertation examines the usage of the Transformer model for time-series forecasting and customizes it for a simultaneous multistep-ahead prediction model in a surrogate model predictive control (MPC) application. The proposed method demonstrates enhanced control performance and computation efficiency compared to the Long-short term memory (LSTM)-based MPC and one-step-ahead prediction model structures for both LSTM and …


A Systematic Approach To Configuring Metamap For Optimal Performance, Xia Jing, Akash Indani, Nina Hubig, Hua Min, Yang Gong, James J Cimino, Dean F Sittig, Lior Rennert, David Robinson, Paul Biondich, Adam Wright, Christian Nøhr, Timothy Law, Arild Faxvaag, Ronald Gimbel Dec 2022

A Systematic Approach To Configuring Metamap For Optimal Performance, Xia Jing, Akash Indani, Nina Hubig, Hua Min, Yang Gong, James J Cimino, Dean F Sittig, Lior Rennert, David Robinson, Paul Biondich, Adam Wright, Christian Nøhr, Timothy Law, Arild Faxvaag, Ronald Gimbel

Faculty, Staff and Student Publications

BACKGROUND: MetaMap is a valuable tool for processing biomedical texts to identify concepts. Although MetaMap is highly configurative, configuration decisions are not straightforward.

OBJECTIVE: To develop a systematic, data-driven methodology for configuring MetaMap for optimal performance.

METHODS: MetaMap, the word2vec model, and the phrase model were used to build a pipeline. For unsupervised training, the phrase and word2vec models used abstracts related to clinical decision support as input. During testing, MetaMap was configured with the default option, one behavior option, and two behavior options. For each configuration, cosine and soft cosine similarity scores between identified entities and gold-standard terms were …


Safety And Efficacy Of Hsp90 Inhibitor Ganetespib For Neoadjuvant Treatment Of Stage Ii/Iii Breast Cancer, Julie E Lang, Andres Forero-Torres, Douglas Yee, Christina Yau, Denise Wolf, John Park, Barbara A Parker, A Jo Chien, Anne M Wallace, Rashmi Murthy, Kathy S Albain, Erin D Ellis, Heather Beckwith, Barbara B Haley, Anthony D Elias, Judy C Boughey, Rachel L Yung, Claudine Isaacs, Amy S Clark, Hyo S Han, Rita Nanda, Qamar J Khan, Kristen K Edmiston, Erica Stringer-Reasor, Elissa Price, Bonnie Joe, Minetta C Liu, Lamorna Brown-Swigart, Emanuel F Petricoin, Julia D Wulfkuhle, Meredith Buxton, Julia L Clennell, Ashish Sanil, Scott Berry, Smita M Asare, Amy Wilson, Gillian L Hirst, Ruby Singhrao, Adam L Asare, Jeffrey B Matthews, Michelle Melisko, Jane Perlmutter, Hope S Rugo, W Fraser Symmans, Laura J Van 'T Veer, Nola M Hylton, Angela M Demichele, Donald A Berry, Laura J Esserman Dec 2022

Safety And Efficacy Of Hsp90 Inhibitor Ganetespib For Neoadjuvant Treatment Of Stage Ii/Iii Breast Cancer, Julie E Lang, Andres Forero-Torres, Douglas Yee, Christina Yau, Denise Wolf, John Park, Barbara A Parker, A Jo Chien, Anne M Wallace, Rashmi Murthy, Kathy S Albain, Erin D Ellis, Heather Beckwith, Barbara B Haley, Anthony D Elias, Judy C Boughey, Rachel L Yung, Claudine Isaacs, Amy S Clark, Hyo S Han, Rita Nanda, Qamar J Khan, Kristen K Edmiston, Erica Stringer-Reasor, Elissa Price, Bonnie Joe, Minetta C Liu, Lamorna Brown-Swigart, Emanuel F Petricoin, Julia D Wulfkuhle, Meredith Buxton, Julia L Clennell, Ashish Sanil, Scott Berry, Smita M Asare, Amy Wilson, Gillian L Hirst, Ruby Singhrao, Adam L Asare, Jeffrey B Matthews, Michelle Melisko, Jane Perlmutter, Hope S Rugo, W Fraser Symmans, Laura J Van 'T Veer, Nola M Hylton, Angela M Demichele, Donald A Berry, Laura J Esserman

Faculty, Staff and Student Publications

HSP90 inhibitors destabilize oncoproteins associated with cell cycle, angiogenesis, RAS-MAPK activity, histone modification, kinases and growth factors. We evaluated the HSP90-inhibitor ganetespib in combination with standard chemotherapy in patients with high-risk early-stage breast cancer. I-SPY2 is a multicenter, phase II adaptively randomized neoadjuvant (NAC) clinical trial enrolling patients with stage II-III breast cancer with tumors 2.5 cm or larger on the basis of hormone receptors (HR), HER2 and Mammaprint status. Multiple novel investigational agents plus standard chemotherapy are evaluated in parallel for the primary endpoint of pathologic complete response (pCR). Patients with HER2-negative breast cancer were eligible for randomization to …


Intraoperative Localization And Preservation Of Reading In Ventral Occipitotemporal Cortex, Oscar Woolnough, Kathryn M Snyder, Cale W Morse, Meredith J Mccarty, Samden D Lhatoo, Nitin Tandon Dec 2022

Intraoperative Localization And Preservation Of Reading In Ventral Occipitotemporal Cortex, Oscar Woolnough, Kathryn M Snyder, Cale W Morse, Meredith J Mccarty, Samden D Lhatoo, Nitin Tandon

Faculty, Staff and Student Publications

OBJECTIVE: Resective surgery in language-dominant ventral occipitotemporal cortex (vOTC) carries the risk of causing impairment to reading. Because it is not on the lateral surface, it is not easily accessible for intraoperative mapping, and extensive stimulation mapping can be time-consuming. Here the authors assess the feasibility of using task-based electrocorticography (ECoG) recordings intraoperatively to help guide stimulation mapping of reading in vOTC.

METHODS: In 11 patients undergoing extraoperative, intracranial seizure mapping, the authors recorded induced broadband gamma activation (70-150 Hz) during a visual category localizer. In 2 additional patients, whose pathologies necessitated resections in language-dominant vOTC, task-based functional mapping was …


Identifying Missing Is-A Relations In Orphanet Rare Disease Ontology, Maryamsadat Mohtashamian, Rashmie Abeysinghe, Xubing Hao, Licong Cui Dec 2022

Identifying Missing Is-A Relations In Orphanet Rare Disease Ontology, Maryamsadat Mohtashamian, Rashmie Abeysinghe, Xubing Hao, Licong Cui

Faculty, Staff and Student Publications

The Orphanet Rare Disease Ontology (ORDO) provides a structured vocabulary encapsulating rare diseases. Downstream applications of ORDO depend on its accuracy to effectively perform their tasks. In this paper, we implement an automated quality assurance pipeline to identify missing is-a relations in ORDO. We first obtain lexical features from concept names. Then we generate related and unrelated feature sharing concept-pairs, where a feature sharing concept-pair can further generate derived term-pairs. If an unrelated and related feature sharing concept-pair generate the same derived term-pair, then we suggest a potential missing is-a relation between the unrelated feature sharing concept-pair. Applying this approach …