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2022

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Articles 5701 - 5730 of 9379

Full-Text Articles in Engineering

Aeroelastic Response Of Wind Turbine Rotors Under Rapid Actuation Of Flap-Based Flow Control Devices, Muraleekrishnan Menon, Fernando L. Ponta Apr 2022

Aeroelastic Response Of Wind Turbine Rotors Under Rapid Actuation Of Flap-Based Flow Control Devices, Muraleekrishnan Menon, Fernando L. Ponta

Michigan Tech Publications, Part 1

The largest commercial wind turbines today are rated at powers between 12 MW to 16 MW, with rotor diameters between 220 m to 242 m, which are expected to grow beyond 250 m in the near future. Economies-of-scale factors suggest the advantages of upscaling in rotor size to effectively harvest the wind potential. An increased emphasis on studies related to improvements and innovations in aerodynamic load-control methodologies has led researchers to focus on overcoming the bottlenecks in size upscaling. Though conventional pitch control is an effective approach for long-term load variations, their application to mitigate short-term fluctuations has limitations. This …

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Nanoparticle Quantification And Distribution On Fluorescently Coated Angioplasty Balloons, Allison Dobson Zieschang Apr 2022

Nanoparticle Quantification And Distribution On Fluorescently Coated Angioplasty Balloons, Allison Dobson Zieschang

Honors Capstones

No abstract provided.

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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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Optical Observation Of Large Area Projection Sintering, Derek Black Apr 2022

Optical Observation Of Large Area Projection Sintering, Derek Black

Theses and Dissertations

Polymer powder bed fusion (PBF/P) is one of many additive manufacturing (AM) processes utilized for producing polymer parts from digital 3D models. AM is preferred over traditional manufacturing methods in many applications due to advantages including tool-less manufacturing, high geometric complexity, short lead times, and reduced material waste. However, many industries that stand to benefit the most from AM are limited in their ability to use AM parts in large part due to low confidence in AM part quality. Among the polymer AM processes, PBF/P processes show significant promise for these applications due to their comparatively high isotropy and mechanical …

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Ransomware Incident Preparations With Ethical Considerations And Command System Framework Proposal, Stanley Mierzwa, James Drylie, Dennis Bogdan Apr 2022

Ransomware Incident Preparations With Ethical Considerations And Command System Framework Proposal, Stanley Mierzwa, James Drylie, Dennis Bogdan

Center for Cybersecurity

Concerns with cyber-attacks in the form of ransomware are on the mind of many executives and leadership staff in all industries. Inaction is not an option, and approaching the topic with real, honest, and hard discussions will be valuable ahead of such a possible devastating experience. This research note aims to bring thoughtfulness to the topics of ethics in the role of cybersecurity when dealing with ransomware events. Additionally, a proposed set of non-technical recovery preparation tasks are outlined to help organizations bring about cohesiveness and planning for dealing with the real potential of a ransomware event. Constraints from many …

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Motion Analysis Of Physical Human-Human Collaboration With Varying Modus, Seth Michael Freeman Apr 2022

Motion Analysis Of Physical Human-Human Collaboration With Varying Modus, Seth Michael Freeman

Theses and Dissertations

Despite the existence of robots that are capable of lifting heavy loads, robotic assistants that can help people move objects as part of a team are not available. This is because of a lack of critical intelligence that results in inefficient and ineffective performance of these robots. This work makes progress towards improved intelligence of robotic lifting assistants by studying human-human teams in order to understand basic principles of co-manipulation teamwork. The effect of modus, or the manner in which a team moves an object together, is the primary study of this work. Data was collected from over 30 human-human …

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Development & Validation Of A Piv System For Obtaining Data From A Uasb Reactor, Camila D' Bastiani, Gerald Gallagher, David Kennedy, Anthony Reynolds Apr 2022

Development & Validation Of A Piv System For Obtaining Data From A Uasb Reactor, Camila D' Bastiani, Gerald Gallagher, David Kennedy, Anthony Reynolds

Conference Papers

Anaerobic digestion processes can generate energy in the form of biogas while treating organic wastewater. The efficiency of the treatment, and thus the generation of biogas, is closely linked to the type and design of the reactor, and the technology used. Granular anaerobic digestion technology offers advantages such as a higher loading rate and reduction of the space needed. However, the hydrodynamics inside this type of reactor can be complex due to the presence of solids (granules) and gas (biogas) phases along with the liquid phase (wastewater). This is one of the reasons why the study and optimization of reactors …

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"Advancing Together." 15th Annual Research Week: Event Proceedings, University Of The Incarnate Word Apr 2022

"Advancing Together." 15th Annual Research Week: Event Proceedings, University Of The Incarnate Word

Excellence Summit (Research Week) Archived Proceedings

Presentations of completed and ongoing research activity conducted by graduate students, undergraduate students, and faculty at University of the Incarnate Word. Includes poster, podium, visual arts, interactive demo, creative and performing arts presentations. Coordinated and presented by the Office of Research and Graduate Studies.

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Manipulating Image Luminance To Improve Eye Gaze And Verbal Behavior In Autistic Children, Louanne Boyd, Vincent Berardi, Deanna Hughes, Franceli L. Cibrian, Jazette Johnson, Viseth Sean, Eliza Delpizzo-Cheng, Brandon Mackin, Ayra Tusneem, Riya Mody, Sara Jones, Karen Lotich Apr 2022

Manipulating Image Luminance To Improve Eye Gaze And Verbal Behavior In Autistic Children, Louanne Boyd, Vincent Berardi, Deanna Hughes, Franceli L. Cibrian, Jazette Johnson, Viseth Sean, Eliza Delpizzo-Cheng, Brandon Mackin, Ayra Tusneem, Riya Mody, Sara Jones, Karen Lotich

Engineering Faculty Articles and Research

Autism has been characterized by a tendency to attend to the local visual details over surveying an image to understand the gist–a phenomenon called local interference. This sensory processing trait has been found to negatively impact social communication. Although much work has been conducted to understand these traits, little to no work has been conducted to intervene to provide support for local interference. Additionally, recent understanding of autism now introduces the core role of sensory processing and its impact on social communication. However, no interventions to the end of our knowledge have been explored to leverage this relationship. This work …

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Effects Of Varied Oxygen Levels, Laser Powers, And Scanning Speeds On Manufactured Components By Laser-Based Powder Bed Fusion, Amelia Mcnamee Apr 2022

Effects Of Varied Oxygen Levels, Laser Powers, And Scanning Speeds On Manufactured Components By Laser-Based Powder Bed Fusion, Amelia Mcnamee

Honors College Theses

This project addresses the effects of oxygen concentration, laser power, and scanning speed on the melt pool geometry of laser-based powder bed fusion (L-PBF) additively manufactured components. A parametric analysis using the substrate alone was conducted to determine a range of desirable laser powers and scanning speeds. The parameter with the more significant effect will be decided upon based on the depth-to-width ratios (D/W) of the resultant laser weld bead. A range of oxygen levels and scan speeds was selected for the next phase. These samples were then be analyzed for depth-to-width ratios. It was expected that higher oxygen concentrations …

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Structural Health Monitoring Of Bioprinted Materials, Kathryn H. Mcintosh Apr 2022

Structural Health Monitoring Of Bioprinted Materials, Kathryn H. Mcintosh

Honors College Theses

Bioprinting is a new method that utilizes additive manufacturing to construct organs, tissues, and other biostructures. This method presents endless possibilities - less reliance on organ donors (according to the Health Resources and Services Administration, 17 people die each day waiting for an organ transplant in the U.S.), more transplant opportunities, and the ability to save significantly more lives. While bioprinting has opened a new frontier in the biomedical field, there may be some research issues that need to be addressed. For example, numerous researchers have focused on creating novel approaches to print complicated geometries. However, the structural integrity or …

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Machine Learning Assisted Discovery Of Shape Memory Polymers And Their Thermomechanical Modeling, Cheng Yan Apr 2022

Machine Learning Assisted Discovery Of Shape Memory Polymers And Their Thermomechanical Modeling, Cheng Yan

LSU Doctoral Dissertations

As a new class of smart materials, shape memory polymer (SMP) is gaining great attention in both academia and industry. One challenge is that the chemical space is huge, while the human intelligence is limited, so that discovery of new SMPs becomes more and more difficult. In this dissertation, by adopting a series of machine learning (ML) methods, two frameworks are established for discovering new thermoset shape memory polymers (TSMPs). Specifically, one of them is performed by a combination of four methods, i.e., the most recently proposed linear notation BigSMILES, supplementing existing dataset by reasonable approximation, a mixed dimension (1D …

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A Component-Based Analysis For Online Proctoring, Salma Roshdy Ali Apr 2022

A Component-Based Analysis For Online Proctoring, Salma Roshdy Ali

Theses and Dissertations

The switch to online learning due to the COVID-19 revealed flaws in the existing learning methods, especially with online proctored assessments. Hence, online proctoring using computers was needed for a fair evaluation. Many studies develop cheating detection systems using several approaches. However, to the best of our knowledge, none of the existing studies investigated the impact of their system components in detecting cheating behaviors. Combining system components, even if they do not significantly improve the system performance in cheating detection, can cause an overload on the system. Therefore, our goal is to investigate the system components’ impact, individually and combined, …

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Passive Air Samplers For Community Monitoring Of Air Toxics Following Hurricane Ida In Terrebonne Parish, Sarah Besson Apr 2022

Passive Air Samplers For Community Monitoring Of Air Toxics Following Hurricane Ida In Terrebonne Parish, Sarah Besson

Honors Capstones

No abstract provided.

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Investigation Of Groundwater Depletion And Leveel Underseepage With Unstructured-Grid Modeling Approach, Ye-Hong Chen Apr 2022

Investigation Of Groundwater Depletion And Leveel Underseepage With Unstructured-Grid Modeling Approach, Ye-Hong Chen

LSU Doctoral Dissertations

Unstructured grid is a tessellation of geometric shapes in irregular patterns that provides flexibility in grid design for groundwater modeling. However, groundwater modeling is mostly developed with uniform grid tessellation and layer, which could simplify model structure or cause expensive computational costs in high-resolution simulations. Unstructured grid incorporates non-uniform horizontal and non-uniform vertical discretizations providing the capability to replicate complex hydrostratigraphy, capture geologic features that are crucial for groundwater flow simulation, and reduce computational costs while maintaining a high resolution for areas of interest. This study contains three parts to investigate unstructured-grid approach on constructing high-fidelity groundwater models, comparisons with …

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Effects Of Carrier, Leveller, And Booster Concentrations On Zinc Plating From Alkaline Zincate Baths, Abdul Jalil Mohammed, Michael S. Moats Apr 2022

Effects Of Carrier, Leveller, And Booster Concentrations On Zinc Plating From Alkaline Zincate Baths, Abdul Jalil Mohammed, Michael S. Moats

Materials Science and Engineering Faculty Research & Creative Works

Organic additives are required for alkaline zincate plating baths to obtain an acceptable coating on steel for corrosion protection. The effects and possible interactions of three commercial additives (Eldiem Carrier, Eldiem Booster, and Bright Enhancer 2x on zinc electrodeposition from a high-concentration alkaline zincate bath were investigated. Visually acceptable deposits were produced within the current density range of 130 to 430 A m-2 for most additive conditions examined. Over concentration ranges examined, decreasing the booster concentration led to brighter zinc deposits, and an interaction between the carrier and the booster was detected. The additives fostered the formation of compact …

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Newton Versus Bernoulli: How Is Lift Created?, Nihad E. Daidzic Apr 2022

Newton Versus Bernoulli: How Is Lift Created?, Nihad E. Daidzic

Aviation Department Publications

FAA Safety Seminar (GL15109627) held on Saturday, April 2, 2022.

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Atmospheric Plasma Spraying To Fabricate Metal-Supported Solid Oxide Fuel Cells With Open-Channel Porous Metal Support, Jie Lin, Haixia Li, Wanhua Wang, Peng Qiu, Greg Tao, Kevin Huang, Fanglin Chen Apr 2022

Atmospheric Plasma Spraying To Fabricate Metal-Supported Solid Oxide Fuel Cells With Open-Channel Porous Metal Support, Jie Lin, Haixia Li, Wanhua Wang, Peng Qiu, Greg Tao, Kevin Huang, Fanglin Chen

Faculty Publications

Metal-supported solid oxide fuel cells (MS-SOFCs) have been fabricated by applying phase-inversion tape-casting and atmospheric plasma spraying (APS). The effect of the binder amount of the phase-inversion slurries on the microstructure development of the 430L stainless steel metal support was investigated. The pore structures, the viscosity of the slurry, porosity and permeability of the as-prepared metal supports are significantly influenced by the amount of the binder. NiO–scandia-stabilized zirconia (ScSZ) anode, ScSZ electrolyte and La0.6Sr0.4Co0.2Fe0.8O3−δ (LSCF) cathode layers were consecutively deposited on the metal support with an ideal microstructure by APS process. The effect …

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Image Provenance Analysis, Daniel Moreira, William Theisen, Walter Scheirer, Aparna Bharati, Joel Brogan, Anderson Rocha Apr 2022

Image Provenance Analysis, Daniel Moreira, William Theisen, Walter Scheirer, Aparna Bharati, Joel Brogan, Anderson Rocha

Computer Science: Faculty Publications and Other Works

The literature of multimedia forensics is mainly dedicated to the analysis of single assets (such as sole image or video files), aiming at individually assessing their authenticity. Different from this, image provenance analysis is devoted to the joint examination of multiple assets, intending to ascertain their history of edits, by evaluating pairwise relationships. Each relationship, thus, expresses the probability of one asset giving rise to the other, through either global or local operations, such as data compression, resizing, color-space modifications, content blurring, and content splicing. The principled combination of these relationships unveils the provenance of the assets, also constituting an …

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Using Deep Neural Network And Transformers To Extract Graphene Compounds And Properties, Ayman Ibn Jaman Apr 2022

Using Deep Neural Network And Transformers To Extract Graphene Compounds And Properties, Ayman Ibn Jaman

Computer Science Graduate Research Workshop

No abstract provided.

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Model-Guided Design Of Rna-Based Synthetic Circuits For The Dynamic Regulation Of Gene Expression, Jordan R. Ryan Apr 2022

Model-Guided Design Of Rna-Based Synthetic Circuits For The Dynamic Regulation Of Gene Expression, Jordan R. Ryan

LSU Master's Theses

A longstanding goal in synthetic biology has been to build synthetic gene circuits with the ability to harness nature’s capability of precise gene expression regulation. Advancements in RNA technology have established RNA-based regulators with distinct advantages over traditional protein-based regulators such as faster signal propagation, versatile programmability, and low cellular burden, which has created an interest in the field to construct innovative synthetic gene circuits using de novo RNA- based regulators. However, our understanding of the behavior and kinetics of RNA-RNA interactions for the construction of gene circuits is incomplete. This thesis proposes a model-guided design framework that integrates mechanistic …

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Image And Video Segmentation Of Appearance-Volatile Objects, Yongqing Liang Apr 2022

Image And Video Segmentation Of Appearance-Volatile Objects, Yongqing Liang

LSU Master's Theses

Segmentation is a process of partitioning a digital image or frame into multiple regions or objects. The goal of segmentation is to identify and locate the objects of interest with their boundaries. Recent segmentation approaches often follow such a pipeline: they first train the model on a collected dataset and then evaluate the trained model on a given image or video. They assume that the appearance of object is consistent in training and testing sets. However, the appearance of object may change in different photography conditions. How to effectively segment the objects with volatile appearance remains under-explored. In this work, …

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Visual Homing For Robot Teams: Do You See What I See?, Damian Lyons, Noah Petzinger Apr 2022

Visual Homing For Robot Teams: Do You See What I See?, Damian Lyons, Noah Petzinger

Faculty Publications

Visual homing is a lightweight approach to visual navigation which does not require GPS. It is very attractive for robot platforms with a low computational capacity. However, a limitation is that the stored home location must be initially within the field of view of the robot. Motivated by the increasing ubiquity of camera information we propose to address this line-of-sight limitation by leveraging camera information from other robots and fixed cameras. To home to a location that is not initially within view, a robot must be able to identify a common visual landmark with another robot that can be used …

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Autonomous And Interactive Control Of A Mobile Robot, Dylan Hoover, Tanner Kaczmarek, Kevin Molumphy, Stephen Tambussi Apr 2022

Autonomous And Interactive Control Of A Mobile Robot, Dylan Hoover, Tanner Kaczmarek, Kevin Molumphy, Stephen Tambussi

Computer Science and Engineering Senior Theses

An autonomous and interactive control of a mobile robot is a desired asset to the Robotics Systems Laboratory (RSL) at Santa Clara University and to the food automation company, L2F. This benefits their future endeavors of having helpful cobots navigate and assist entities in their respective environments. This paper documents the development of software for a cobot that satisfies the basic requirements for easy and safe control of an autonomous robot within a dynamic environment. The completed software includes the ability for the cobot to track a person and then autonomously follow that person around at a safe following distance …

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Pressure Ulcer Prevention: A Quality Improvement Project, Noah Blevins, Graci Borders, Brett Bentley, Carly Crutchfield, Rachel Dillion, Jacob Dyer, Heleigh Eldridge, Taylor Emmons, Suzi White Apr 2022

Pressure Ulcer Prevention: A Quality Improvement Project, Noah Blevins, Graci Borders, Brett Bentley, Carly Crutchfield, Rachel Dillion, Jacob Dyer, Heleigh Eldridge, Taylor Emmons, Suzi White

2022 Celebration of Student Scholarship - Poster Presentations

A pressure ulcer is an injury that affects the underlying tissue and skin and is primarily caused by prolonged pressure on the skin. During a clinical rotation at a small rural teaching hospital, pressure ulcers were prevalent in an estimated 80% of patients in the intensive care unit (ICU) during a three-week period. Approximately $26.8 billion are spent every year in the United States treating pressure ulcers. The purpose of this quality improvement project is to provide staff education to ICU nurses in order to reduce and prevent the prevalence of pressure ulcers in patients. A thorough literature review was …

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The Perception Of Minority Student-Athletes’ And Non-Athlete Students’ Learning Experience At A Predominately White Institution, William Wellman, Jelani Garvin, Jane Zhang, Steve Chen Apr 2022

The Perception Of Minority Student-Athletes’ And Non-Athlete Students’ Learning Experience At A Predominately White Institution, William Wellman, Jelani Garvin, Jane Zhang, Steve Chen

2022 Celebration of Student Scholarship - Poster Presentations

This study examined mainly African-American and minority students' learning experience at a regional public university in Appalachia for the purpose of improving the existing academic support services and creating a safe diverse learning environment for racial minority students.

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Frequency Of Genetic Variants At The Mc1r Locus In A Student Population, Emmalea K. Dowdy, Grace C. Stubblefield, David K. Peyton Apr 2022

Frequency Of Genetic Variants At The Mc1r Locus In A Student Population, Emmalea K. Dowdy, Grace C. Stubblefield, David K. Peyton

2022 Celebration of Student Scholarship - Poster Presentations

The Melanocortin-1 Receptor gene (MC1R) encodes a protein that is associated with pigmentation in vertebrate animals. An extraordinary number of variations in this gene have arisen over time due to the importance of pigmentation in camouflage, photosensitivity, vitamin D production, and other evolutionary factors. Variations in the MC1R gene sequence became important to survival as humans migrated out of Africa and into cooler climates with less sun exposure, where lighter skin pigmentation (and therefore more vitamin D production) was key to survival. These genetic variations (alleles) continue to exist in modern humans. Recent research into the MC1R gene variations shows …

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Research, Testing, And Validation Of Small Satellite Designs: Cubesats, Cansats, Pocketqubes, And Femtosatellites, Jason A. Combs, Jose L. Garcia Apr 2022

Research, Testing, And Validation Of Small Satellite Designs: Cubesats, Cansats, Pocketqubes, And Femtosatellites, Jason A. Combs, Jose L. Garcia

2022 Celebration of Student Scholarship - Poster Presentations

The focus of this project, through research and testing, was to prepare various elements of small satellite experiential education curriculum. Rather than be constrained to the expensive and long-term timelines of a larger satellites, students can assemble, test, and operate various classes of small satellites in a valuable learning experience that will prepare them to work on larger projects. The true benefit of a PocketQube, CanSat, or femtosatellite is that they can be built with less money, less experience, and less long-term commitment while providing a scaled version of the real-life satellite development process that will engage and inspire students. …

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Novel Gain-Of-Function Mutations In The Telomerase Rna Of Saccharomyces Cerevisiae, Keenan Conley, Madison Frazier, Melissa Mefford Apr 2022

Novel Gain-Of-Function Mutations In The Telomerase Rna Of Saccharomyces Cerevisiae, Keenan Conley, Madison Frazier, Melissa Mefford

2022 Celebration of Student Scholarship - Poster Presentations

Yeast are eukaryotic organisms that contain liner chromosomes. At the ends of these chromosomes, there are special regions known as telomeres. Telomeres are composed of non-coding nucleotides that serve to protect the vital coding DNA found throughout the rest of the chromosome. During the process of DNA replication, however, telomeres become progressively shorter which can lead to cellular senescence. To solve this issue, yeast express the enzyme telomerase. Telomerase is composed of a telomerase reverse transcriptase protein (TERT) and telomerase RNA (TLC1) in yeast. When telomeres become too short, telomerase extends telomeres by adding to the 3’ overhang. Telomeres shorten …

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Technology In Workplace Communication By Generation, Hannah Meadows, Christy Trent Apr 2022

Technology In Workplace Communication By Generation, Hannah Meadows, Christy Trent

2022 Celebration of Student Scholarship - Poster Presentations

The purpose of this research study was to determine the generational differences in the use of communication technology in the workplace. Most employees feel a deeper sense of connection to those in their own generational group. This survey looks at ideologies across four generations, Baby Boomers, Generation X, Millennials, and Generation Z, to help give employers some insight into why employees feel this way and encourage better communication in the workforce.

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