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Articles 2971 - 3000 of 41982
Full-Text Articles in Entire DC Network
A Step-By-Step Guide For Mentors To Facilitate Team Building And Communication In Virtual Teams., Julia F. Aquino, Robert Riss, Sara M. Multerer, Leora N. Mogilner, Teri L. Turner
A Step-By-Step Guide For Mentors To Facilitate Team Building And Communication In Virtual Teams., Julia F. Aquino, Robert Riss, Sara M. Multerer, Leora N. Mogilner, Teri L. Turner
Manuscripts, Articles, Book Chapters and Other Papers
As collaborative work in medical education has increasingly moved online, team mentors have had to adapt their practices into the virtual environment. Fostering connection, communication and productivity on virtual teams requires specific skills and deliberate practice that differ from in-person teamwork. Drawing from best practices in business, education and medicine and also from our own experience as a virtual team, we present a guide for mentors to create and sustain successful virtual teams. Grounded in Tuckman's Five Stage Model of Team Development, we offer specific strategies for virtual team mentors to promote team cohesion, mitigate conflict, maintain productivity and leverage …
From Experiencing Abuse To Seeking Protection: Examining The Shame Of Intimate Partner Violence, A. Rachel Camp
From Experiencing Abuse To Seeking Protection: Examining The Shame Of Intimate Partner Violence, A. Rachel Camp
Georgetown Law Faculty Publications and Other Works
Shame permeates the experience of intimate partner violence (IPV). People who perpetrate IPV commonly use tactics designed to cause shame in their partners, including denigrating their dignity, undermining their autonomy, or harming their reputation. Many IPV survivors report an abiding sense of shame as a result of their victimization—from a lost sense of self, to self-blame, to fear of (or actual) social judgment. When seeking help for abuse, many survivors are directed to, or otherwise encounter, persons or institutions that reinforce rather than mitigate their shame. Survivors with marginalized social identities often must contend not only with the shame of …
Comparative Genomics Of Five Valsa Species Gives Insights On Their Pathogenicity Evolution, Guangchao Sun, Shichang Xie, Lin Tang, Chao Zhao, Mian Zhang, Lili Huang
Comparative Genomics Of Five Valsa Species Gives Insights On Their Pathogenicity Evolution, Guangchao Sun, Shichang Xie, Lin Tang, Chao Zhao, Mian Zhang, Lili Huang
Department of Agronomy and Horticulture: Faculty Publications
Valsa is a genus of ascomycetes within the Valsaceae family. This family includes many wood destructive pathogens such as the well known Valsa mali and Valsa pyri which cause canker diseases in fruit trees and threaten the global fruit production. Lack of genomic information of this family is impeding our understandings about their evolution and genetic basis of their pathogenicity divergence. Here, we report genome assemblies of Valsa malicola, Valsa persoonii, and Valsa sordida which represent close relatives of Valsa mali and Valsa pyri with different host preferences. Comparative genomics analysis revealed that segmental rearrangements, inversions, and translocations …
Propranolol Modulates Cerebellar Circuit Activity And Reduces Tremor., Joy Zhou, Meike E Van Der Heijden, Luis E Salazar Leon, Tao Lin, Lauren N Miterko, Dominic J Kizek, Ross M Perez, Matea Pavešković, Amanda M Brown, Roy V Sillitoe
Propranolol Modulates Cerebellar Circuit Activity And Reduces Tremor., Joy Zhou, Meike E Van Der Heijden, Luis E Salazar Leon, Tao Lin, Lauren N Miterko, Dominic J Kizek, Ross M Perez, Matea Pavešković, Amanda M Brown, Roy V Sillitoe
Duncan NRI Faculty and Staff Publications
Tremor is the most common movement disorder. Several drugs reduce tremor severity, but no cures are available. Propranolol, a β-adrenergic receptor blocker, is the leading treatment for tremor. However, the in vivo circuit mechanisms by which propranolol decreases tremor remain unclear. Here, we test whether propranolol modulates activity in the cerebellum, a key node in the tremor network. We investigated the effects of propranolol in healthy control mice and Car8wdl/wdl mice, which exhibit pathophysiological tremor and ataxia due to cerebellar dysfunction. Propranolol reduced physiological tremor in control mice and reduced pathophysiological tremor in Car8wdl/wdl mice to control levels. …
Chromophoric Dissolved Organic Matter And Dissolved Organic Carbon In Lakes Across An Elevational Gradient From The Mountains To The Sea, Kyle Juetten, Angela L. Strecker, Aaron Harrison, Zachary Landram, Warren J. De Bruyn, Catherine D. Clark
Chromophoric Dissolved Organic Matter And Dissolved Organic Carbon In Lakes Across An Elevational Gradient From The Mountains To The Sea, Kyle Juetten, Angela L. Strecker, Aaron Harrison, Zachary Landram, Warren J. De Bruyn, Catherine D. Clark
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Dissolved organic matter (DOM) in lakes across elevation gradients is a complex function of topography, climate, vegetation coverage, land use, and lake properties. To examine sources and processing of DOM from sea level to mountain lakes (3–1,574 m), we measured dissolved organic carbon (DOC) concentrations and chromophoric dissolved organic matter (CDOM) optical properties, lake characteristics, and water quality parameters in 62 freshwater lakes in the Pacific Northwest, USA. Higher elevation lakes had lower DOC concentrations and absorbance. These lakes had higher forest cover and minimal wetlands in their watershed, in addition to low nutrients, water temperatures, and chlorophyll a in …
Montana Kaimin, December 1, 2022, Students Of The University Of Montana, Missoula
Montana Kaimin, December 1, 2022, Students Of The University Of Montana, Missoula
Montana Kaimin, 1898-present
Student newspaper of the University of Montana, Missoula.
Efficient Framework For Brain Tumor Detection Using Different Deep Learning Techniques, Fatma Taher, Mohamed R. Shoaib, Heba M. Emara, Khaled M. Abdelwahab, Fathi E. Abd El-Samie, Mohammad T. Haweel
Efficient Framework For Brain Tumor Detection Using Different Deep Learning Techniques, Fatma Taher, Mohamed R. Shoaib, Heba M. Emara, Khaled M. Abdelwahab, Fathi E. Abd El-Samie, Mohammad T. Haweel
All Works
The brain tumor is an urgent malignancy caused by unregulated cell division. Tumors are classified using a biopsy, which is normally performed after the final brain surgery. Deep learning technology advancements have assisted the health professionals in medical imaging for the medical diagnosis of several symptoms. In this paper, transfer-learning-based models in addition to a Convolutional Neural Network (CNN) called BRAIN-TUMOR-net trained from scratch are introduced to classify brain magnetic resonance images into tumor or normal cases. A comparison between the pre-trained InceptionResNetv2, Inceptionv3, and ResNet50 models and the proposed BRAIN-TUMOR-net is introduced. The performance of the proposed model is …
An Anomaly In Unemployment Rates: A Comparative Analysis Of Federal Governments’ Responses To The Covid-19 Pandemic, Trent Arney
An Anomaly In Unemployment Rates: A Comparative Analysis Of Federal Governments’ Responses To The Covid-19 Pandemic, Trent Arney
Economics Undergraduate Honors Theses
During the COVID-19 pandemic, the United Kingdom experienced extremely low unemployment rates compared to similarly developed nations. As a result of the ensuing national recessions, the United States’ and Canada’s Phillip’s Curves shifted, while the United Kingdom’s remained steady. Each of these three nations pursued relatively similar monetary and fiscal policies; however, the United Kingdom’s government-supported wage policy had different requirements and specifications than that of the United States’ and Canada’s. The United Kingdom’s government-supported wage policy prioritized saving jobs while the United States’ and Canada’s policies prioritized saving firms, leading to the disparity in national unemployment rates observed during …
Divide-And-Conquer Distributed Learning: Privacy-Preserving Offloading Of Neural Network Computations, Lewis C.L. Brown
Divide-And-Conquer Distributed Learning: Privacy-Preserving Offloading Of Neural Network Computations, Lewis C.L. Brown
Graduate Theses and Dissertations
Machine learning has become a highly utilized technology to perform decision making on high dimensional data. As dataset sizes have become increasingly large so too have the neural networks to learn the complex patterns hidden within. This expansion has continued to the degree that it may be infeasible to train a model from a singular device due to computational or memory limitations of underlying hardware. Purpose built computing clusters for training large models are commonplace while access to networks of heterogeneous devices is still typically more accessible. In addition, with the rise of 5G networks, computation at the edge becoming …
A Method For Exploring The Habitability Of Earth-Like Exoplanets: Applications To Tess Objects Of Interest 203 B, 256 B, And 700 D, Paul Bonney
Graduate Theses and Dissertations
The Transiting Exoplanet Survey Satellite (TESS) has and is continuing to discover a multitude of potentially habitable planet candidates. As more planets are detected and confirmed, it becomes increasingly important to strategically search for signs of habitability with which to differentiate and prioritize them for further observation, in particular with the James Webb Space Telescope (JWST). To facilitate this, I have created a method for prioritizing TESS planet candidates based on parameters derived from their light curves and have applied the method to the TESS Candidate Target List (CTL). This data set uses preliminary fits to transit modeling which can …
Nitrogen Use Efficiency Of Pretassel Nitrogen Applications In Corn, Robyn Brittlee Mulloy
Nitrogen Use Efficiency Of Pretassel Nitrogen Applications In Corn, Robyn Brittlee Mulloy
Graduate Theses and Dissertations
Corn (Zea mays L.) production continues to be a critical component of row-crop production systems within Arkansas and is seeing a resurgence in recent years. Nitrogen (N) is critical for corn growth and is often one of the single largest input costs associated with corn production. Research objectives for this study were to determine the nitrogen use efficiency (NUE) of late season N applications as influenced by sidedress N rate and timing of pretassel application and to quantify the nutrient uptake and partitioning in modern era corn hybrids within a furrow-irrigated production system. Research was conducted at the Milo J. …
Design And Comparison Of Asynchronous Fft Implementations, Julie Bigot
Design And Comparison Of Asynchronous Fft Implementations, Julie Bigot
Graduate Theses and Dissertations
Fast Fourier Transform (FFT) is a widely used digital signal processing technology in a large variety of applications. For battery-powered embedded systems incorporating FFT, its physical implementation is constrained by strict power consumption, especially during idle periods. Compared to the prevailing clocked synchronous counterpart, quasi-delay insensitive asynchronous circuits offer a series of advantages including flexible timing requirement and lower leakage power, making them ideal choices for these systems. In this thesis work, various FFT configurations were implemented in the low-power Multi-Threshold NULL Convention Logic (MTNCL) paradigm. Analysis illustrates the area and power consumption trends along the changing of the number …
Data-Driven Deep Learning-Based Analysis On Thz Imaging, Haoyan Liu
Data-Driven Deep Learning-Based Analysis On Thz Imaging, Haoyan Liu
Graduate Theses and Dissertations
Breast cancer affects about 12.5% of women population in the United States. Surgical operations are often needed post diagnosis. Breast conserving surgery can help remove malignant tumors while maximizing the remaining healthy tissues. Due to lacking effective real-time tumor analysis tools and a unified operation standard, re-excision rate could be higher than 30% among breast conserving surgery patients. This results in significant physical, physiological, and financial burdens to those patients. This work designs deep learning-based segmentation algorithms that detect tissue type in excised tissues using pulsed THz technology. This work evaluates the algorithms for tissue type classification task among freshly …
Hierarchical Structure And Material Integration For Electrocatalytic Co2 Reduction, Hamed Mehrabi
Hierarchical Structure And Material Integration For Electrocatalytic Co2 Reduction, Hamed Mehrabi
Graduate Theses and Dissertations
CO2 released by the combustion of fossil fuels is driving significant changes to the earth’sclimate. The natural cycle for removing CO2 from the atmosphere, namely photosynthesis, cannot keep up with the rate at which it is being added. Developing engineering approaches to remove CO2 from the atmosphere is becoming essential to reduce these effects. Removal leads to further issues of carbon sequestration and favorable CO2 reuse strategies, including the electrochemical transformation of recovered CO2 to useful products such as fuels and materials. Copper is an important electrocatalyst for the CO2 reduction reaction (CO2RR) because of its unique capability for producing …
Nitrogen Management In Rice Under Suboptimal Soil Conditions, Payton Suzanne Rhea
Nitrogen Management In Rice Under Suboptimal Soil Conditions, Payton Suzanne Rhea
Graduate Theses and Dissertations
In Mid-South rice (Oryza sativa, L.) production, nitrogen (N) fertilizer management for pureline varieties is most often recommended as a single preflood (SPF) or two-way split (2WS) application in a direct-seeded, delayed-flood system. Most of the N fertilizer is typically applied at the four- to six-leaf stage onto dry soil, and the second application, if necessary, into the floodwater during early reproductive growth stages (referred to as midseason). Environmental factors frequently prohibit growers from applying early N fertilizer under optimal dry soil conditions. A study was conducted to determine the best N fertilization management practices to utilize in rice when …
Electrical Modeling For Dynamic Performance Prediction And Optimization Of Mcpms Layout, Quang Minh Le
Electrical Modeling For Dynamic Performance Prediction And Optimization Of Mcpms Layout, Quang Minh Le
Graduate Theses and Dissertations
In recent years, the fast development of Multichip Power Modules (MCPM) packaging and Wide Bandgap (WBG) technology has enabled higher voltage and current ratings, better thermal performance, lower parasitic parameters, and higher mechanical reliability. However, the design of the MCPM layout is a multidisciplinary problem leading to many time-consuming analyses and tedious design processes. Because of these challenges, the design automation tool for MCPM layout has become an emerging research area and gained much attention from the power electronics community. The two critical objectives of a design automation tool for MCPM layout are fast and accurate models for design insights …
First-Principles Study Of Doping Effects On Ferroelectricity And On Rashba Spin Splitting, Zegnet Yimer Muhammed
First-Principles Study Of Doping Effects On Ferroelectricity And On Rashba Spin Splitting, Zegnet Yimer Muhammed
Graduate Theses and Dissertations
In this dissertation, we have thoroughly studied the effect of chemical and charge dopingon ferroelectrics (PbTiO3 and BaTiO3) and Rashba type semiconductor (BiTeI). In the first project, We investigate the polar instability and soft modes in electron-doped PbTiO3 using linear-response density functional calculations. Because, metallicity and ferroelectric-like polar distortion are mutually non-compatible, and their coexistence in the same system is an intriguing subject of fundamental interest in the field of structure phase transition. However, it is unclear what mechanism may extend the limit of metallicity that allows polar distortion. We find that ferroelectric instability can remarkably sustain up to an …
Prediction Of Radiography Certification Examination Scores Using Astin’S Input-Environment-Output Model, Deanna Barymon
Prediction Of Radiography Certification Examination Scores Using Astin’S Input-Environment-Output Model, Deanna Barymon
Graduate Theses and Dissertations
Numerous health profession fields, including radiology, have attempted to identify predictors of success on their respective credentialing exams. This preregistered study seeks to determine if available academic performance measures may predict radiography national certification examination scores and help educators identify students for remediation and support. The study will use the Astin Input-Environment-Output Model, which ascertains that student outcomes are a result of what they bring into an academic program and the environment experienced during the program. The non-experimental retrospective study will look at the 2018 to 2021 Arkansas State University radiography cohorts. Multiple regression will be used to determine if …
Thinking About Episodic Future Events As A Way To Reduce Smoking Behavior: An Ecological Momentary Assessment Study, Stephanie Joann Kane
Thinking About Episodic Future Events As A Way To Reduce Smoking Behavior: An Ecological Momentary Assessment Study, Stephanie Joann Kane
Graduate Theses and Dissertations
With nearly 35 million Americans currently estimated to smoke and an approximate seven out of ten adult smokers wanting to quit, it is clear that there is a need for enhanced smoking cessation techniques. Encouraging people to think about a future smoke-free self may help to encourage and motivate changes in smoking behavior. The present study investigated the role of an episodic future thinking manipulation on the motivation to quit smoking using ecological momentary assessment (EMA). Participants (N = 103) were randomly assigned to either an episodic future thinking (EFT) condition or an episodic recent thinking (ERT) condition, and were …
A Comparison Of Student Final Grades In College Algebra Based On Face-To-Face And Online Course Modalities, Christopher Michael Lafata
A Comparison Of Student Final Grades In College Algebra Based On Face-To-Face And Online Course Modalities, Christopher Michael Lafata
Graduate Theses and Dissertations
As community colleges emerge from the COVID-19 pandemic there may be a tendency to rely on technology to facilitate more online coursework. Online education has been a fixture of higher education since the mid-1990s, but there’s always been a question as to whether it is effective as traditional, face-to-face coursework. This is especially important in College Algebra, already viewed as a barrier course for many students. If more students take College Algebra online, will the results be as good as students taking the course in a classroom? The purpose of this quantitative causal-comparative study is to identify the relationship between …
Disharmony Of The Soul: A Philosophical Analysis Of Psychological Trauma And Flourishing, Adam Blehm
Disharmony Of The Soul: A Philosophical Analysis Of Psychological Trauma And Flourishing, Adam Blehm
Graduate Theses and Dissertations
In this dissertation I argue that psychological trauma hinders human flourishing by disrupting psychic harmony and hindering virtuous relationships. Given the negative symptomology of posttraumatic stress related disorders (i.e., PTSD) this conclusion may seem a bit obvious to some. However, making the case for trauma as a hindrance to human flourishing is more complicated than it may first appear.
First, in the extant literature, trauma as a concept tends to be unclear. In much of the empirical and philosophical literature, trauma can include a certain kind of event, experience, effect, or a combination of all three. Furthermore, because of practical …
Temporal Effects Of Acute Moderate Intensity Physical Activity On Working Memory Performance In Young Adults, Kimberly Loy Seibold
Temporal Effects Of Acute Moderate Intensity Physical Activity On Working Memory Performance In Young Adults, Kimberly Loy Seibold
Graduate Theses and Dissertations
An ample amount of research suggests that increases in physical activity in young adults could help improve memory and cognitive functions which may aid in academic success (Johnson & Loprinzi, 2019; Perini et al., 2016). A sufficient working memory is critical to learning because it allows us to temporarily store and compare multiple informational items at one time to form a new concept or solve a problem (Cowan, 2013). The purpose of this study was to examine the temporal effects of acute moderate intensity physical activity on working memory in young adults. This study utilized a within-groups (repeated measures) cross-over …
Multivariate Fairness For Paper Selection, Reem Alsaffar
Multivariate Fairness For Paper Selection, Reem Alsaffar
Graduate Theses and Dissertations
Peer review is the process by which publishers select the best publications for inclusion in a journal or a conference. Bias in the peer review process can impact which papers are selected for inclusion in conferences and journals. Although often implicit, race, gender and other demographics can prevent members of underrepresented groups from presenting at major conferences. To try to avoid bias, many conferences use a double-blind review process to increase fairness during reviewing. However, recent studies argue that the bias has not been removed completely. Our research focuses on developing fair algorithms that correct for these biases and select …
Therapists’ Demonstrated Multicultural Competence In Treating Latinx Immigrants, Dulce Diaz Benitez
Therapists’ Demonstrated Multicultural Competence In Treating Latinx Immigrants, Dulce Diaz Benitez
Graduate Theses and Dissertations
Studies suggest that health disparities occur when people from marginalized communities receive care that is inadequate based on their cultural needs (USDHHS, 2011). Multicultural competence (MCC) models have been proposed to provide a framework of the competencies that therapists should develop to work with multicultural populations (Sue et al., 1992). Researchers have questioned the validity of measures, which are mostly based on therapist self-report (Cartwright, 2008). The multicultural case conceptualization ability task has been used in previous studies as a measure of demonstrated cultural competence using a vignette to assess case conceptualization abilities (Ladany et al., 1997). However, it has …
Evaluation Of Cellulose Nanocrystal Inks And Their Structural Characteristics For 3d Bioprinting Of Customized Scaffolds, Patrick William Kuczwara
Evaluation Of Cellulose Nanocrystal Inks And Their Structural Characteristics For 3d Bioprinting Of Customized Scaffolds, Patrick William Kuczwara
Graduate Theses and Dissertations
3D bioprinting of biological scaffolds requires control of the physicochemical properties of each unique structures. A promising material for control of properties is hydrogels, which can help create biomimetic scaffolds with controlled spatial arrangement of materials by integrating biological materials directly into layers during the bioprinting process. Nanocellulose offers a unique combination of properties including mechanical, biomimetic, and biocompatibility. These properties offer flexibility over the types, shapes, and applications of their printed hydrogel scaffolds, (i.e., tissue, drug, encapsulation). However, 3D bioprinting of nanocellulose-based hydrogels requires high loading percentages (i.e., >10 wt%) or chemical crosslinkers (i.e., bis(acyl)phosphane oxides (BAPO)). High solid …
The Binding Of The Micronutrient Transition Metals To The Alkylation Products Of Chemical Warfare Agent, Sulfur Mustard, And Thiols, Potentially Giving New Understanding To Physiological Effects Of Exposure And Increased Toxicity, Colin O'Donnell
Graduate Theses and Dissertations
Model compounds, 3,6,9-trithaiundecane-1,11-dicarboxylic acid (TTDPA), 2,5,8-trithianonane-1,9-dicarboxylic acid (TTDAA), and 1,11-diamide-3,6,9-trithiaundecane (TTDAce), closely related to the adducts formed by cysteine alkylation of the chemical weapon, sulfur mustard, were synthesized. It is shown that TTDPA forms complexes with key metal micronutrients: copper, nickel, cobalt, manganese, and zinc. Though the strength of binding to TTDPA varies, the complexes in many cases precipitate from solution. All metals produced a visible precipitate upon interaction with TTDPA under the conditions tested, however only Cu2+, Mn2+, and Zn2+ produced enough to be measured. The mass of formed precipitate seemed to peak at an equimolar ratio of TTDPA …
Lyubeznik Numbers Of Unmixed Edge Ideals, Sara Rae Jones
Lyubeznik Numbers Of Unmixed Edge Ideals, Sara Rae Jones
Graduate Theses and Dissertations
Lyubeznik numbers, defined in terms of local cohomology, are invariants of local rings that are able to detect many algebraic and geometric properties. Notably they recognize topological behaviors of various structures associated to their rings. We will discuss computations of these numbers for unmixed edge ideals by giving a completely combinatorial construction which realizes the connectedness information captured by these numbers.
Deciphering Surfaces Of Trans-Neptunian And Kuiper Belt Objects Using Radiative Scattering Models, Machine Learning, And Laboratory Experiments, Al Emran
Graduate Theses and Dissertations
Decoding surface-atmospheric interactions and volatile transport mechanisms on trans-Neptunian objects (TNOs) and Kuiper Belt objects (KBOs) involves an in-depth understanding of physical and thermal properties and spatial distribution of surface constituents – nitrogen (N2), methane (CH4), carbon monoxide (CO), and water (H2O) ices. This thesis implements a combination of radiative scattering models, machine learning techniques, and laboratory experiments to investigate the uncertainties in grain size estimation of ices, the spatial distribution of surface compositions on Pluto, and the thermal properties of volatiles found on TNOs and KBOs. Radiative scattering models (Mie theory and Hapke approximations) were used to compare single …
Efficient Hierarchical Space-Time Models For Large Areal Datasets With Application To Forest Inventory Mapping Using Remote Sensing Imagery, Md Kamrul Hasan Khan
Efficient Hierarchical Space-Time Models For Large Areal Datasets With Application To Forest Inventory Mapping Using Remote Sensing Imagery, Md Kamrul Hasan Khan
Graduate Theses and Dissertations
The focus of this dissertation is development of a novel hierarchical framework, that can be used for predictive modeling of Forest Inventory and Analysis (FIA) data over large regions. This dissertation has two significant contributions. Based on a study region in north-central Wisconsin, we analyze satellite imagery, along with a sample of national forest inventory field plots, to monitor and predict changes in forest conditions over time. The auxiliary data from the satellite imagery of this region are relatively dense in space and time, and can be used to learn how forest conditions changed over that decade. However, these records …
Limiting Limited Liability: Requiring More Than Mere Subsequence Under Federal Rule Of Evidence 407, Cynara Hermes Mcquillan
Limiting Limited Liability: Requiring More Than Mere Subsequence Under Federal Rule Of Evidence 407, Cynara Hermes Mcquillan
Scholarly Works
Rule 407 of the Federal Rules of Evidence, the “Subsequent Remedial Measures” Rule, is troubling. This exclusionary rule of evidence prohibits using subsequent remedial measures to demonstrate negligence, culpable conduct, or product defect. But, other than in the title of the rule, the phrase “subsequent remedial measures” does not appear anywhere in the rule’s text and the rule itself does not expressly define what measures fall within its purview. This omission creates space for different judicial interpretations of the rule’s language and ultimately disparate judicial outcomes. Although the Federal Rules of Evidence lend themselves to fact-specific inquiries that can lead …