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An Application Of Matrices To The Spread Of The Covid 19, Selena Suarez May 2022

An Application Of Matrices To The Spread Of The Covid 19, Selena Suarez

Theses and Dissertations

We represented a restaurant seating arrangement using matrices by using 0 entry for someone without covid and 1 entry for someone with covid. Using the matrices we found the best seating arrangements to lessen the spread of covid. We also investigated if there was a factor needed to create a formula that could calculate the matrix that shows who would be affected with covid with each seating arrangement. However, there did not seem to be a clear pattern within the factors. Aside from covid applications, we also investigated the symmetries in seating arrangements and the possible combinations with these arrangements …

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Red Harvester Ant (Pogonomyrmex Barbatus F. Smith; Hymenoptera: Formicidae) Preference For Cover Crop Seeds In South Texas, Lilly Victoria Elliott-Vidaurri, Daniella Rivera, Adrian Noval, Robin A. Choudhury, Hannah J. Penn Apr 2022

Red Harvester Ant (Pogonomyrmex Barbatus F. Smith; Hymenoptera: Formicidae) Preference For Cover Crop Seeds In South Texas, Lilly Victoria Elliott-Vidaurri, Daniella Rivera, Adrian Noval, Robin A. Choudhury, Hannah J. Penn

School of Earth, Environmental, & Marine Sciences Faculty Publications

Harvester ants often selectively forage seeds, causing these ants to be viewed as pests in agricultural areas where they may forage on crop seeds. While little research has been done on harvester ant preferences for cover crop seeds, grower observations in the Lower Rio Grande Valley (LRGV) suggest that ants may remove these seeds before germination. We examined red harvester ant (Pogonomyrmex barbatus F. Smith) preferences for cover crop seeds (fescue, oat, sunn hemp, radish, vetch, and wheatgrass) and the effects of a commonly used bacterial seed inoculant. We evaluated relative preferences using seed depots presented to colonies with no …

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Towards Conserving Crop Wild Relatives Along The Texas–Mexico Border: The Case Of Manihot Walkerae, Gisel Garza, Crystian Sadel Venegas Barrera, Jon Dale, José Guadalupe Martínez-Ávalos, Teresa Patricia Feria-Arroyo Apr 2022

Towards Conserving Crop Wild Relatives Along The Texas–Mexico Border: The Case Of Manihot Walkerae, Gisel Garza, Crystian Sadel Venegas Barrera, Jon Dale, José Guadalupe Martínez-Ávalos, Teresa Patricia Feria-Arroyo

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Biology)

Walker’s Manihot, Manihot walkerae, is an endangered species endemic to south Texas and northeastern Mexico and is a Crop Wild Relative (CWR) of the international and economically important crop cassava (M. esculenta). Manihot walkerae is globally endangered (IUCN’s Redlist, Texas list, USA); however, it is not recognized on the Mexican list of endangered species (NOM-059-SEMARNAT). We assessed the status of M. walkerae in Mexico and re-evaluated its global status. According to our analysis, M. walkerae should be considered an endangered species based on the IUCN’s assessment method and a threatened species in Mexico based on the Mexican criteria. Our findings …

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Search Of The Early O3 Ligo Data For Continuous Gravitational Waves From The Cassiopeia A And Vela Jr. Supernova Remnants, R. Abbott, T. Abbott, K. Ackley, F. Acernese, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang Apr 2022

Search Of The Early O3 Ligo Data For Continuous Gravitational Waves From The Cassiopeia A And Vela Jr. Supernova Remnants, R. Abbott, T. Abbott, K. Ackley, F. Acernese, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

We present directed searches for continuous gravitational waves from the neutron stars in the Cassiopeia A (Cas A) and Vela Jr. supernova remnants. We carry out the searches in the LIGO detector data from the first six months of the third Advanced LIGO and Virgo observing run using the weave semicoherent method, which sums matched-filter detection-statistic values over many time segments spanning the observation period. No gravitational wave signal is detected in the search band of 20–976 Hz for assumed source ages greater than 300 years for Cas A and greater than 700 years for Vela Jr. Estimates from simulated …

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Computational Modeling Of Threat Learning Reveals Links With Anxiety And Neuroanatomy In Humans, Rany Abend, Diana Burk, Sonia G. Ruiz, Andrea L. Gold, Julia L. Napoli, Jennifer C. Britton, Kalina J. Michalska, Tomer Shechner, Anderson M. Winkler, Ellen Leibenluft Apr 2022

Computational Modeling Of Threat Learning Reveals Links With Anxiety And Neuroanatomy In Humans, Rany Abend, Diana Burk, Sonia G. Ruiz, Andrea L. Gold, Julia L. Napoli, Jennifer C. Britton, Kalina J. Michalska, Tomer Shechner, Anderson M. Winkler, Ellen Leibenluft

School of Medicine Publications

Influential theories implicate variations in the mechanisms supporting threat learning in the severity of anxiety symptoms. We use computational models of associative learning in conjunction with structural imaging to explicate links among the mechanisms underlying threat learning, their neuroanatomical substrates, and anxiety severity in humans. We recorded skin-conductance data during a threat-learning task from individuals with and without anxiety disorders (N=251; 8-50 years; 116 females). Reinforcement-learning model variants quantified processes hypothesized to relate to anxiety: threat conditioning, threat generalization, safety learning, and threat extinction. We identified the best-fitting models for these processes and tested associations among latent learning parameters, whole-brain …

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Using Supervised Learning Algorithms As A Follow-Up Method In The Search Of Gravitational Waves From Core-Collapse Supernovae, Javier M. Antelis, Marco Cavaglia, Travis Hansen, Mannuel D. Morales, Claudia Moreno, Soma Mukherjee, Marek J. Szczepańczyk, Michele Zanolin Apr 2022

Using Supervised Learning Algorithms As A Follow-Up Method In The Search Of Gravitational Waves From Core-Collapse Supernovae, Javier M. Antelis, Marco Cavaglia, Travis Hansen, Mannuel D. Morales, Claudia Moreno, Soma Mukherjee, Marek J. Szczepańczyk, Michele Zanolin

Physics & Astronomy Faculty Publications

We present a follow-up method based on supervised machine learning (ML) to improve the performance in the search of gravitational wave (GW) bursts from core-collapse supernovae (CCSNe) using the coherent WaveBurst (cWB) pipeline. The ML model discriminates noise from signal events by using a set of reconstruction parameters provided by cWB as features. Detected noise events are discarded yielding a reduction in the false alarm rate (FAR) and the false alarm probability thus enhancing the statistical significance. We tested the proposed method using strain data from the first half of the third observing run of advanced LIGO, and CCSNe GW …

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Quantization For Infinite Affine Transformations, Dogan Comez, Mrinal Kanti Roychowdhury Apr 2022

Quantization For Infinite Affine Transformations, Dogan Comez, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

Quantization for a probability distribution refers to the idea of estimating a given probability by a discrete probability supported by a finite set. In this article, we consider a probability distribution generated by an infinite system of affine transformations {S-ij} on R-2 with associated probabilities {p(ij)} such that p(ij) > 0 for all i, j is an element of N and Sigma(infinity)(i,j=1) p(ij) = 1. For such a probability measure P, the optimal sets of n-means and the nth quantization error are calculated for every natural number n. It is shown that the distribution of such a probability measure is the …

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Measuring Ethnic Diversity, Liza G. Steele, Amie Bostic, Scott M. Lynch, Lamis Abdelaaty Apr 2022

Measuring Ethnic Diversity, Liza G. Steele, Amie Bostic, Scott M. Lynch, Lamis Abdelaaty

Sociology Faculty Publications

Researchers have investigated the effects of ethnic heterogeneity on a range of socioeconomic and political outcomes. However, approaches to measuring ethnic diversity vary not only across fields of study but even within subfields. In this review, we systematically dissect the computational approaches of prominent measures of diversity, including polarization, and discuss where and how differences emerge in their relationships with outcomes of interest to sociologists (social capital and trust, economic growth and redistribution, conflict, and crime). There are substantial similarities across computations, which are often generalizations or specializations of one another. Differences in how racial and ethnic groupings are constructed …

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A Nematode Community-Based Integrated Productivity Efficiency (Ipe) Model That Identifies Sustainable Soil Health Outcomes: A Case Of Compost Application In Carrot Production, A. Habteweld, A. Kravchencko, Parwinder Grewal, H. Melakeberhan Apr 2022

A Nematode Community-Based Integrated Productivity Efficiency (Ipe) Model That Identifies Sustainable Soil Health Outcomes: A Case Of Compost Application In Carrot Production, A. Habteweld, A. Kravchencko, Parwinder Grewal, H. Melakeberhan

School of Earth, Environmental, & Marine Sciences Faculty Publications

Percent soil organic matter (SOM), pH and crop yield are among the biophysicochemical process-driven soil health indicators (SHIs). However, identifying sustainable soil health conditions using these SHIs is limited due to the lack of Integrated Productivity Efficiency (IPE) models. We define IPE as a concept that identifies best-to-worst-case soil health outcomes by assessing the effect of agronomic practices on weighted abundance of functional guilds (WAFG) of beneficial soil organisms and SHIs simultaneously. Expressing WAFG of all beneficial nematodes (x-axis) and SHIs (y-axis) as a percent of untreated control and regression of x and y reveals four quadrants describing worst-to-best-case outcomes …

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Pre-Growth Environmental Stresses Affect Foodborne Pathogens Response To Subsequent Chemical Treatments, Amandeep Singh, Veerachandra K. Yemmireddy Apr 2022

Pre-Growth Environmental Stresses Affect Foodborne Pathogens Response To Subsequent Chemical Treatments, Amandeep Singh, Veerachandra K. Yemmireddy

School of Earth, Environmental, & Marine Sciences Faculty Publications

Foodborne pathogens such as Salmonella, E. coli O157:H7, and Listeria monocytogenes are known to survive under different environmental stresses with an effect on their physiological properties. The purpose of this study was to determine the effect of different environmental stresses on the foodborne pathogens response to subsequent chemical treatments. Three types of pathogens Salmonella, E. coli O157:H7, and Listeria monocytogenes were subjected to different environmental stresses: (i) Desiccation (ii) high salt (iii) low pH, and (iv) temperatures (14, 23, and 37 °C) during their growth. The cells harvested at their early stationary growth phase were subsequently subjected to chlorine (100 …

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Model-Assisted Deep Learning Of Rare Extreme Events From Partial Observations, Anna Asch, Ethan Brady, Hugo Gallardo, John Hood, Bryan Chu, Mohammad Farazmanda Apr 2022

Model-Assisted Deep Learning Of Rare Extreme Events From Partial Observations, Anna Asch, Ethan Brady, Hugo Gallardo, John Hood, Bryan Chu, Mohammad Farazmanda

Mechanical Engineering Faculty Publications

To predict rare extreme events using deep neural networks, one encounters the so-called small data problem because even long-term observations often contain few extreme events. Here, we investigate a model-assisted framework where the training data are obtained from numerical simulations, as opposed to observations, with adequate samples from extreme events. However, to ensure the trained networks are applicable in practice, the training is not performed on the full simulation data; instead, we only use a small subset of observable quantities, which can be measured in practice. We investigate the feasibility of this model-assisted framework on three different dynamical systems (Rössler …

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Development And Validation Of An Edna Protocol For Monitoring Endemic Asian Spiny Frogs In The Himalayan Region Of Pakistan, Muhammad Saeed, Muhammad Rais, Ayesha Akram, Maggie R. Williams, Kenneth F. Kellner, Syed A. Hashsham, Drew R. Davis Apr 2022

Development And Validation Of An Edna Protocol For Monitoring Endemic Asian Spiny Frogs In The Himalayan Region Of Pakistan, Muhammad Saeed, Muhammad Rais, Ayesha Akram, Maggie R. Williams, Kenneth F. Kellner, Syed A. Hashsham, Drew R. Davis

School of Earth, Environmental, & Marine Sciences Faculty Publications

Wildlife monitoring programs are instrumental for the assessment of species, habitat status, and for the management of factors affecting them. This is particularly important for species found in freshwater ecosystems, such as amphibians, as they have higher estimated extinction rates than terrestrial species. We developed and validated two species-specific environmental DNA (eDNA) protocols and applied them in the field to detect the Hazara Torrent Frog (Allopaa hazarensis) and Murree Hills Frog (Nanorana vicina). Additionally, we compared eDNA surveys with visual encounter surveys and estimated site occupancy. eDNA surveys resulted in higher occurrence probabilities for both A. …

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The Rider (2022-04-04), Verilu Infante Apr 2022

The Rider (2022-04-04), Verilu Infante

The Rider Archives

Vol.7 No.24

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Connecting Palaeopathology And Evolutionary Medicine To Cancer Research: Past And Present, Carina Marques, Zachary Compton, Amy M. Boddy Apr 2022

Connecting Palaeopathology And Evolutionary Medicine To Cancer Research: Past And Present, Carina Marques, Zachary Compton, Amy M. Boddy

Anthropology Faculty Publications

Cancer has a significant impact on morbidity and mortality worldwide, with estimates reaching 18.1 million cases in 2018 alone. This chapter reviews the contributions of evolutionary medicine and palaeopathology to oncological research and addresses how these disciplines can conjointly develop models that evaluate how biological, ecological and sociocultural dynamics have prompted the development of cancer across deep time. It highlights that cancer has a long history affecting species across the tree of life, as well as being particularly pervasive in human populations today. While addressing recent advances in comparative oncology and palaeopathology, it discusses how novel environments may contribute to …

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Search For Gravitational Waves Associated With Gamma-Ray Bursts Detected By Fermi And Swift During The Ligo–Virgo Run O3b, R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang Apr 2022

Search For Gravitational Waves Associated With Gamma-Ray Bursts Detected By Fermi And Swift During The Ligo–Virgo Run O3b, R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

We search for gravitational-wave signals associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the second half of the third observing run of Advanced LIGO and Advanced Virgo (2019 November 1 15:00 UTC–2020 March 27 17:00 UTC). We conduct two independent searches: a generic gravitational-wave transients search to analyze 86 GRBs and an analysis to target binary mergers with at least one neutron star as short GRB progenitors for 17 events. We find no significant evidence for gravitational-wave signals associated with any of these GRBs. A weighted binomial test of the combined results finds no evidence …

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Dry And Hydrated Defective Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain For Hydrogen Evolution From Water Splitting: A First-Principle Study, Nicholas Dimakis, Sanju Gupta, Razeen Wadud, Muhammad I. Bhatti Apr 2022

Dry And Hydrated Defective Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain For Hydrogen Evolution From Water Splitting: A First-Principle Study, Nicholas Dimakis, Sanju Gupta, Razeen Wadud, Muhammad I. Bhatti

Physics & Astronomy Faculty Publications

In search of exploiting cost-effective, highly stable, efficient, and greatly active electrocatalysts for hydrogen evolution reaction (HER), molybdenum disulfide-graphene heterostructures (MoS2/graphene) are promising, in contrast to noble metals. We used density functional theory (DFT) to examine the changes in the electronic structure of MoS2/graphene under compressive strain for structural defects in the MoS2 and graphene layers, as well as from hydration of the MoS2 layer. In the pristine MoS2/graphene heterostructure, a small bandgap (minigap) is opened at the graphene Dirac point, which is located above the Fermi energy, for dry and hydrated configurations. The presence of sulfur and carbon vacancies …

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Development And Assessment Of An Environmental Dna (Edna) Assay For A Cryptic Siren (Amphibia: Sirenidae), Krista M. Ruppert, Drew R. Davis, Md Saydur Rahman, Richard J. Kline Apr 2022

Development And Assessment Of An Environmental Dna (Edna) Assay For A Cryptic Siren (Amphibia: Sirenidae), Krista M. Ruppert, Drew R. Davis, Md Saydur Rahman, Richard J. Kline

School of Earth, Environmental, & Marine Sciences Faculty Publications

Environmental DNA (eDNA) assays have become a major aspect of surveys for aquatic organisms in the past decade. These methods are highly sensitive, making them well-suited for monitoring rare and cryptic species. Current efforts to study the Rio Grande Siren in southern Texas have been hampered due to the cryptic nature of these aquatic salamanders. Arid conditions further add to the difficulty in studying this species, as many water bodies they inhabit are ephemeral, sometimes constraining sampling efforts to a short window after heavy rain. Additionally, sirens are known to cease activity and reside underground when ponds begin to dry …

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Characterization Of Particulate Matter Species In An Area Impacted By Aggregate And Limestone Mining North Of San Antonio, Tx, Usa, Amit U. Raysoni, Esmeralda Mendez, August Luna, Joe Collins Apr 2022

Characterization Of Particulate Matter Species In An Area Impacted By Aggregate And Limestone Mining North Of San Antonio, Tx, Usa, Amit U. Raysoni, Esmeralda Mendez, August Luna, Joe Collins

School of Earth, Environmental, & Marine Sciences Faculty Publications

Aggregate and limestone mining in San Antonio's Bexar and Comal counties in Texas, USA, has caused considerable health concerns as of late. Aggregate mining actions can result in localized air quality issues in any neighborhood. Furthermore, heavy truck traffic, hauling, and transportation of the mined material contribute to pollution. In this research, PM species were sampled at four locations north of the San Antonio city limits. The data were collected using a TSI Air Quality Sampler that sampled PM1, PM2.5, PM4, PM10, wind speed, wind direction, temperature, and relative humidity. Continuous data with 1 min averages were recorded during the …

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Academic Pathways For Formerly Incarcerated Students: “If I Could Do 12 Years In Prison, Why Can’T I Do 12 Years In College.”, Melissa Abeyta Apr 2022

Academic Pathways For Formerly Incarcerated Students: “If I Could Do 12 Years In Prison, Why Can’T I Do 12 Years In College.”, Melissa Abeyta

Organization and School Leadership Faculty Publications

This qualitative study examined the experiences of formerly incarcerated students in community colleges. In this study, participants described how they made meaning of their postsecondary education experience through their decision to start college, the college preparation, and faculty interactions that collectively influenced their academic pathways. The students of this study were formerly incarcerated Latino men enrolled in California community colleges located in northern, central, and southern regions. This study specifically sought to challenge the stigma that revolves around the experiences of the carceral system leading to a deficit perspective on this student population. The findings from this study aligns with …

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Heat And Mass Transfer Of A Molten Polymer Conveying Nanoparticles In A Wire Coating Process With Temperature-Dependent Fluid Properties: Optimization Using Response Surface Method, Mahanthesh Basavarajappa, Dambaru Bhatta Apr 2022

Heat And Mass Transfer Of A Molten Polymer Conveying Nanoparticles In A Wire Coating Process With Temperature-Dependent Fluid Properties: Optimization Using Response Surface Method, Mahanthesh Basavarajappa, Dambaru Bhatta

School of Mathematical & Statistical Sciences Faculty Publications

Heat and mass transfer rates play a significant role in achieving a high-efficiency, low-cost wire coating process. Therefore, the flow analysis of molten polymer (polyvinyl chloride) carrying nanoparticles inside a pressure-type die is presented. The third-grade liquid model is used for the constitutive equation of the polyvinyl chloride (PVC), while the non-homogeneous biphasic model is used for nanoparticles. The properties of PVC are temperature-dependent. The melt flow is governed by the modified Navier-Stokes equation for the third-grade fluid, energy conservation, and nanoparticles' continuity equation. The finite difference method-based routine is applied to solve the nonlinear differential equations that include …

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An Integrable Semidiscretization Of The Modified Camassa-Holm Equation With Linear Dispersion Term, Han-Han Sheng, Guo-Fu Yu, Bao-Feng Feng Apr 2022

An Integrable Semidiscretization Of The Modified Camassa-Holm Equation With Linear Dispersion Term, Han-Han Sheng, Guo-Fu Yu, Bao-Feng Feng

School of Mathematical & Statistical Sciences Faculty Publications

In the present paper, we are with integrable discretization of a modified Camassa-Holm (mCH) equation with linear dispersion term. The key of the construction is the semidiscrete analog for a set of bilinear equations of the mCH equation. First, we show that these bilinear equations and their determinant solutions either in Gram-type or Casorati-type can be reduced from the discrete Kadomtsev-Petviashvili (KP) equation through Miwa transformation. Then, by scrutinizing the reduction process, we obtain a set of semidiscrete bilinear equations and their general soliton solution in Gram-type or Casorati-type determinant form. Finally, by defining dependent variables and discrete hodograph transformations, …

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Cover Crops May Exacerbate Moisture Limitations On South Texas Dryland Farms, Stephanie Kasper, Faeqa Mohsin, Lindsey Richards, Alexis Racelis Apr 2022

Cover Crops May Exacerbate Moisture Limitations On South Texas Dryland Farms, Stephanie Kasper, Faeqa Mohsin, Lindsey Richards, Alexis Racelis

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Biology)

Cover crops are a sustainable management tool for mediating weed pressure, reducing soil erosion, and enhancing soil organic carbon (C) and nitrogen (N) levels. Yet, adoption rates across water-limited farms in Texas remain low, especially among producers without irrigation access, due to concerns that cover crop use of soil moisture will negatively impact subsequent cash crop yields. This three-year cover crop trial in a rain-fed sorghum (Sorghum bicolor L.) farm in Lyford, Texas, trialed different cover crop mixes and seeding rates and confirmed that cover cropping leads to significant soil moisture deficits and cash crop failure when rainfall is low …

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Constraints On Dark Photon Dark Matter Using Data From Ligo’S And Virgo’S Third Observing Run, R. Abbott, T. D. Abbott, F. Acernese, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang Mar 2022

Constraints On Dark Photon Dark Matter Using Data From Ligo’S And Virgo’S Third Observing Run, R. Abbott, T. D. Abbott, F. Acernese, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

We present a search for dark photon dark matter that could couple to gravitational-wave interferometers using data from Advanced LIGO and Virgo’s third observing run. To perform this analysis, we use two methods, one based on cross-correlation of the strain channels in the two nearly aligned LIGO detectors, and one that looks for excess power in the strain channels of the LIGO and Virgo detectors. The excess power method optimizes the Fourier transform coherence time as a function of frequency, to account for the expected signal width due to Doppler modulations. We do not find any evidence of dark photon …

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Hadron-Quark Phase Transition At Finite Density In The Presence Of A Magnetic Field: Anisotropic Approach, Efrain J. Ferrer, Aric Hackebill Mar 2022

Hadron-Quark Phase Transition At Finite Density In The Presence Of A Magnetic Field: Anisotropic Approach, Efrain J. Ferrer, Aric Hackebill

Physics & Astronomy Faculty Publications

We investigate the hadron-quark phase transition at finite density in the presence of a magnetic field taking into account the anisotropy created by a uniform magnetic field in the system’s equations of state. We find a new anisotropic equilibrium condition that will drive the first-order phase transition along the boundary between the two phases. Fixing the magnetic field in the hadronic phase, the phase transition is realized by increasing the baryonic chemical potential at zero-temperature. It is shown that the magnetic field is mildly boosted after the system transitions from the hadronic to the quark phase. The magnetic-field discontinuity between …

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Centering Community Voices In Mining Governance, Anna Erwin, Zhao Ma, Emma Patricia Salas O'Brien, Jonathan Bauchet, Nelly Ramirez Calderon, Eliseo Zeballos Zeballos, Glenn Roberto Arce Larrea, Ruxandra Popovici, Laura Zanotti, Chelsea A. Silva Mar 2022

Centering Community Voices In Mining Governance, Anna Erwin, Zhao Ma, Emma Patricia Salas O'Brien, Jonathan Bauchet, Nelly Ramirez Calderon, Eliseo Zeballos Zeballos, Glenn Roberto Arce Larrea, Ruxandra Popovici, Laura Zanotti, Chelsea A. Silva

School of Earth, Environmental, & Marine Sciences Faculty Publications

Peru has shifted away from centralized mining management to governance among government, companies, and communities. Various mechanisms facilitate community participation, including the mining canon, dialogues, and corporate social responsibility programs. Even with these laws and mechanisms, mining pollution and conflicts continue. In this study, we ask: how do communities perceive and participate in mining governance? And what are some alternative ways, driven by community priorities, to address governance in mining contexts? We collected 53 semi-structured with agricultural actors in two Peruvian districts with mining activity and analyzed those perspectives through the lens of community-centered governance. Our analyses revealed how centering …

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Small-Molecule Ras Inhibitors As Anticancer Agents: Discovery, Development, And Mechanistic Studies, Shaila A. Shetu, Debasish Bandyopadhyay Mar 2022

Small-Molecule Ras Inhibitors As Anticancer Agents: Discovery, Development, And Mechanistic Studies, Shaila A. Shetu, Debasish Bandyopadhyay

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Mutations of RAS oncogenes are responsible for about 30% of all human cancer types, including pancreatic, lung, and colorectal cancers. While KRAS1 is a pseudogene, mutation of KRAS2 (commonly known as KRAS oncogene) is directly or indirectly associated with human cancers. Among the RAS family, KRAS is the most abundant oncogene related to uncontrolled cellular proliferation to generate solid tumors in many types of cancer such as pancreatic carcinoma (over 80%), colon carcinoma (40–50%), lung carcinoma (30–50%), and other types of cancer. Once described as ‘undruggable’, RAS proteins have become ‘druggable’, at least to a certain extent, due to the …

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An Active Learning Didactic Proposal With Human-Computer Interaction In Engineering Education: A Direct Current Motor Case Study, Alejandro Said, Luis C. Félix-Herrán, Yasser A. Davizón, Carlos Hernandez-Santos, Rogelio Soto, Ricardo A. Ramírez-Mendoza Mar 2022

An Active Learning Didactic Proposal With Human-Computer Interaction In Engineering Education: A Direct Current Motor Case Study, Alejandro Said, Luis C. Félix-Herrán, Yasser A. Davizón, Carlos Hernandez-Santos, Rogelio Soto, Ricardo A. Ramírez-Mendoza

Electrical and Computer Engineering Faculty Publications

Engineering education requires learning strategies to engage students and improve the development of disciplinary and transversal competencies. Additionally, as economic resources are generally limited, it is sought to avoid investing large sums of money in software and hardware, as well as in fitting out laboratories. This work presents a didactic proposal within the framework of active and collaborative learning that includes the flipped classroom technique to be applied in the curriculum of undergraduate engineering programs and inside a massive flexible digital master class. The activity is the mathematical modeling, simulation, and control system of a direct current motor where simulation …

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Efficient Message Dissemination On Curve Road In Vehicular Networks, Shidong Huang, Chuanhe Huang, Dongfang Wu, Yabo Yin, M. Wasim Abbas Ashraf, Bin Fu Mar 2022

Efficient Message Dissemination On Curve Road In Vehicular Networks, Shidong Huang, Chuanhe Huang, Dongfang Wu, Yabo Yin, M. Wasim Abbas Ashraf, Bin Fu

Computer Science Faculty Publications

Effective emergency message dissemination is a great importance on a specific road in vehicular networks (VN). The existing methods are not most efficient solutions for message dissemination on the curve road, which primarily focus on highway and urban road. In order to improve the efficiency of message dissemination on the curved road, the paper proposed a message dissemination method based on bidirectional relay nodes. The message can be disseminated in two directions simultaneously. The paper designed a relay node selection method based on the neighbor nodes’ coverage length of the road. Different waiting delays are assigned to the neighbor nodes …

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Automation And Coupling Of Models For Coastal Flood Forecasting In South Texas, Cesar Davila Hernandez, Sara E. Davila, Martin Flores, Jungseok Ho, Dong-Chul Kim Mar 2022

Automation And Coupling Of Models For Coastal Flood Forecasting In South Texas, Cesar Davila Hernandez, Sara E. Davila, Martin Flores, Jungseok Ho, Dong-Chul Kim

Computer Science Faculty Publications

Forecasting natural disasters such as inundations can be of great help for emergency bodies and first responders. In coastal communities, this risk is often associated with storm surge. To produce flood forecasts for coastal communities, a system must incorporate models capable of simulating such events based on forecasted weather conditions. In this work, a system for forecasting inundations based predominantly on storm surge is explored. An automation and a coupling strategy were implemented to produce forecasted flood maps automatically. The system leverages an ocean circulation model and a channel water flow model to estimate flood events in South Texas specially …

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Computational Data Of Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain, Nicholas Dimakis, Sanju Gupta, Razeen Wadud, Muhammad I. Bhatti Mar 2022

Computational Data Of Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain, Nicholas Dimakis, Sanju Gupta, Razeen Wadud, Muhammad I. Bhatti

Physics & Astronomy Faculty Publications

The data presented in this paper refer to the research article "Dry and Hydrated Defective Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain for Hydrogen Evolution from Water Splitting: A First-principle Study". Here, we present the Density Functional Theory (DFT) data used to generate optimal geometries and electronic structure for the MoS2/graphene heterostructure under strain, for dry and hydrated pristine and defect configurations. We also report DFT data used to obtain hydrogen Gibbs free energies for adsorption on the MoS2 monolayer and on graphene of the heterostructure. The DFT data were calculated using the periodic DFT code CRYSTAL17, which employs Gaussian basis …

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