Digital Commons Network^™

Fourier Analysis And Other Tools For Electrical Engineers: A Practical Handbook, David G. Long

Books

No abstract provided.

Unintended Consequences? Testing The Effects Of Adolescent-Targeted Anti-Vaping Media Upon Adult Smokers, Leslie E. Sawyer

USF Tampa Graduate Theses and Dissertations

A great deal of controversy surrounds e-cigarettes, with some arguing that protection of youth and non-users is paramount and others maintaining that these products are beneficial from a harm reduction perspective for use by adult smokers for switching from combustible cigarettes and for smoking cessation. Opponents of e-cigarettes have allocated tremendous funds toward advertising campaigns aimed at youth deterrence; however, to date, the effects of these ads upon adult smokers have yet to be examined. The current study used a between-subjects experimental design to investigate the effects of an FDA-distributed youth-targeted anti-vaping PSA, “Vaping is an Epidemic,” upon adult smokers …

Construction Of An Apartment Building And Parking Garage, Kirsten Wilson, Kirsten R. Wilson

Honors College Theses

Construction projects are known far and wide to all people. Buildings we need for daily survival would not exist if it were not for the construction industry. Our homes, healthcare facilities, groceries, and other necessary amenities would be gone if it were not for the structures they are housed in. This project aims to simulate the lifespan of a construction job from the design phase to the preconstruction phase and stops at the final presentation before an agreement to start construction.

To create the simulation for the students, a fake RFP, or request for proposal, was created and given to …

Identification And Characterization Of Cyps Induced In The Drosophila Antenna By Exposure To A Plant Odorant, Shane R Baldwin, Pratyajit Mohapatra, Monica Nagalla, Rhea Sindvani, Desiree Amaya, Hope A Dickson, Karen Menuz

Department of Medicine Faculty Papers

Degrading Enzymes (ODEs). However, their contribution to olfactory signaling in vivo is poorly understood. This is due in part to the challenge of identifying which of the dozens of antennal-expressed CYPs might inactivate a given odorant. Here, we tested a high-throughput deorphanization strategy in Drosophila to identify CYPs that are transcriptionally induced by exposure to odorants. We discovered three CYPs selectively upregulated by geranyl acetate using transcriptional profiling. Although these CYPs are broadly expressed in the antenna in non-neuronal cells, electrophysiological recordings from CYP mutants did not reveal any changes in olfactory neuron responses to this odorant. Neurons were desensitized …

High-Order Deterministic Sensitivity Analysis And Uncertainty Quantification: Review And New Developments, Dan Gabriel Cacuci

Faculty Publications

This work reviews the state-of-the-art methodologies for the deterministic sensitivity analysis of nonlinear systems and deterministic quantification of uncertainties induced in model responses by uncertainties in the model parameters. The need for computing high-order sensitivities is underscored by presenting an analytically solvable model of neutron scattering in a hydrogenous medium, for which all of the response’s relative sensitivities have the same absolute value of unity. It is shown that the wider the distribution of model parameters, the higher the order of sensitivities needed to achieve a desired level of accuracy in representing the response and in computing the response’s expectation, …

The Winter Adverse Driving Dataset (Wads) - Sequence 13, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 12, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 16, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 17, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 20, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 23, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 24, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 28, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 30, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 34, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 76, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

The Winter Adverse Driving Dataset (Wads) - Sequence 36, Akhil Kurup, Jeremy Bos

Michigan Tech Research Data

Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. We believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to …

A High-Pressure Shear Testing Approach To Measure Flow Stresses Near A Friction Stir Welding Tool, David Prymak, Michael Miles, Tracy W. Nelson, Fredrick Michael

Faculty Publications

A new approach for measuring flow stresses near a spinning friction stir welding (FSW) tool is evaluated on AA 6061-T6 plate. The test consists of plunging a cylindrical tool with a flat face into the plate at different rotational speeds, using a variety of constant vertical loads. A viscosity-based model of the shear layer created under the tool is employed to estimate local flow stresses. The flow stresses measured by this approach exhibited an inverse relationship with temperature and a positive dependence on the pressure imposed by the spinning flat-faced tool. Compared to hot compression and hot torsion results, estimated …

Boundary Crossing By A Community Of Practice: Tibetan Buddhist Monasteries Engage Science Education, Carol M. Worthman, Ann Cale Kruger, Cindy Achat-Mendes, Tashi Lhamo, Rinchen Wangyal, Gelek Gyatso, Kelsey M. Gray

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

As a globalized world struggles with division and disinformation, engaging across difference has emerged as a major challenge to communication and collaborative action needed to address growing global challenges. As such, the initiative by Tibetan Buddhist leaders to incorporate western science in curricula for monastic education may serve as an important case study that illuminates the conditions and processes at work in genuine cultural outreach and exchange. That project, spearheaded in the Emory-Tibet Science Initiative (ETSI), involves reaching out across two quite different communities of practice, Tibetan Buddhism and science, and the willingness and ability of individuals to cross the …

Reference Services In Private University Libraries Of Assam: A Study, Shyamanta Boro Mr, Sanjay Kumar Singh Dr

Library Philosophy and Practice (e-journal)

Abstract

Objective:

The present study intends to investigate the private university libraries of Assam and their different kinds of library services and reference services, web 2.0 features and its different adopted methodology for the advancement of library services and how these library services are being provided and what are the technical or non-technical measures adopted by the library professional to perceived job performance. It also intends to carry out additional library facilities like an online learning support system and enabling future generations to utilize acquired knowledge from the study libraries.

Methodology:

For this study, both qualitative and quantitative approaches for …

Recent Advances In Silver Nanoparticle-Based Electrochemical Sensors For Determining Organic Pollutants In Water, Ziad Khalifa, Moustafa Zahran, Magdy Zahran, Magdi Abdelazzem

Chemical Engineering

Water pollutants have attracted great attention because of their negative effect on human health. Accordingly, various analytical techniques have been investigated to detect water pollutants as a preliminary step for their control. This review highlights silver nanoparticles (AgNPs) as promising electrochemical probes studied for detecting organic pollutants. Electrochemical sensors can be fabricated by modifying electrode surfaces using AgNPs via different techniques, such as electrochemical deposition, drop casting, spin coating, sticking, and transfer sticking, as well as carbon paste-based modification. AgNPs at electrode surfaces can be identified by their stripping to form Ag+ with a particular oxidation peak. Additionally, they can …

Cellular Therapy Updates In B-Cell Lymphoma: The State Of The Car-T, Zachary D Crees, Armin Ghobadi

2020-Current year OA Pubs

Non-Hodgkin Lymphoma accounts for >460,000 cases and >240,000 deaths globally and >77,000 cases and >20,000 deaths in the U.S. annually, with ~85% of cases being B-cell malignancies. Until recently, patients with relapsed/refractory B-cell lymphoma following standard chemotherapy in combination with anti-CD20 monoclonal antibodies and autologous stem cell transplantation experienced a median overall survival (OS) of <6 months. However, with the approval of four different CD-19 CAR-T therapies between 2017 and 2021, approximately 60-80% of patients receiving CAR-T therapy now achieve an objective response with >3 years median OS. Here, we review the current state of the art of CD19 CAR-T therapies for B-cell lymphomas, focusing on current updates in US FDA-approved products, along with their associated efficacy and toxicities. Lastly, we highlight a selection of promising clinical developments in …

Visual Assessment Of Soil Structure As An Early Indicator Of Soil Quality In Response To Intensive Rotational Grazing, N. Teutscherova, E. Vazquez, D. Baquero, N. E. Velasquez-Ruiz, M. Pulleman, Jacobo Arango

IGC Proceedings (1977-2023)

Grasslands can play a crucial role in mitigation of global warming by serving as carbon sink. Nevertheless, to achieve the grasslands’ potential, sustainable management is of the utmost importance as it determines system’s productivity and ecosystem services. Due to the increasing demand for animal products in developing countries, grazed areas increase exponentially in the tropics, mainly due to unsustainable management leading to low productivity and soil degradation. We evaluated the impact of intensive rotational grazing management (IRG) on early indicators of soil quality following land-use change based on on-farm observations of visual soil characteristics using two different widely used assessment …

Short-Term Dry Season Forage Monitoring In Rangelands And Savannas Of West Africa, J. Y. Anchang, C. W. Ross, W. Ji, Q. Yu, B. Lind, L. Prihodko, N. P. Hanan

IGC Proceedings (1977-2023)

Dry season plant biomass is critical for livestock production and hence livelihoods in rangeland communities. We have developed a cloud-based application that employs remote sensing data to provide weekly spatially explicit information on plant vegetation cover in West Africa during the dry season (typically October-June). In this paper, we discuss the data analysis steps and results that drive the application. Linear spectral mixture analysis is used to derive endmember samples of basic landcover primitives (active/green vegetation, non-active vegetation, and bare soil) from very high-resolution imagery that spans the spatiotemporal spectrum from wet/peak-green to dry/dormant conditions in Senegal. These samples are …

Public And Counterpublics: Rereading The Case Of Riverside Through Critical Pragmatism. A Response To "Community Insurgency: Constituency, Choice, And The Common Good", Kathleen Knight-Abowitz

Democracy & Education

An article of empirically informed philosophical analysis of charter schooling that features local histories, voices of stakeholders, and an optimistic view on the democratic potential of charter school policies, the original piece presents a compelling, if extreme, case of charter school formation. In this response, I offer an alternative theoretical framing to the case. I argue that the scholarship of constitutional scholars is much less relevant as an interpretive lens on the case than more critical, contemporary pragmatist thinkers. I hope to show in this response how Deweyan political philosophy might have been used throughout the argument to produce a …

Scientifically Based Research And Teacher Agency: Combating “Conspiracies Of Certainty”, Kurt Stemhagen, Brionna C. Nomi

Democracy & Education

This project considers how certain types of educational research position teachers as problems to be managed or worked around. We start with a discussion of scientifically based research (SBR), particularly how the quest for generalization/objectivity are often pursued at the expense of relevance. We use the way teachers are positioned in the growing field of Implementation Science as an example of what’s wrong with SBR. A fundamental tension emerges—researchers’ need for scientific control is inescapably at odds with the idea of teacher as professional. Finally, we provide an example of an approach that has potential to counter the SBR-influenced idea …

Does The Criminal Enforcement Of Federal Environmental Law Deter Environmental Crime? The Case Of The U.S. Resource Conservation And Recovery Act, Dr. Joshua Ozymy, Dr. Melissa L. Jarrell

Environmental and Earth Law Journal (EELJ)

The U.S. Environmental Protection Agency (EPA) and the Department of Justice are tasked with the investigation and prosecution of hazardous waste crimes occurring under the U.S. Resource Conservation and Recovery Act (RCRA). For criminal sanctions to be effective, the probability of detection and severity of punishment must be significant enough to raise the cost to benefit ratio to deter environmental crimes. While research examines sanctioning under RCRA, little work examines the plausibility of the deterrent effect of criminal sanctions. Through content analysis of all environmental crime prosecutions resulting from EPA criminal investigations, 1983-2019, we explore the probability of detection and …

Multifunctionality Of Sown Grassland Is Enhanced By Combining Four Complementary Species, M. Suter, O. Huguenin-Elie, Andreas Lüscher

IGC Proceedings (1977-2023)

We investigated species diversity effects and multifunctionality in an intensively managed grassland. A diversity experiment was set up with monocultures and mixtures comprising Lolium perenne, Dactylis glomerata, Trifolium pratense, and Trifolium repens, and was maintained for three years at 150 kg∙N∙ha^-1∙ year^-1. Ten functions were measured that represented i) forage production (aboveground biomass yield (μ), standard deviation of yield (σ), temporal stability (μ/σ), weed biomass), ii) N cycling (symbiotic-N₂-fixation, N efficiency, NO₃ in soil solution), and forage quality (crude protein content (CP), organic matter digestibility …

Increasing The Predictive Capability Of Mapping Technologies For Healthcare In Disaster Management, Simon O.M. Adebola

Online Journal of Space Communication

Health as defined by the WHO/EUROs Health 21 is 'the reduction in mortality, morbidity and disability due to detectable disease and disorder, and an increase in the perceived level of health' (WHO, 1999). Health Impact Assessment (HIA) is a combination of procedures, methods and tools by which a policy, program or project may be judged as to its potential effects on the health of a population, and the distribution of those effects within the population (WHO, 1999).

Remote Sensing And Human Health: New Sensors And New Opportunities, Louisa R. Beck, Bradley M. Lobitz, Byron L. Wood

Online Journal of Space Communication

Remote sensing data enable scientists to study the earth's biotic and abiotic components. These components and their changes have been mapped from space at several temporal and spatial scales since 1972. A small number of investigators in the health community have explored remotely sensed environmental factors that might be associated with disease-vector habitats and human transmission risk. However, most human health studies using remote sensing data have focused on data from Landsat's Multispectral Scanner (MSS) and Thematic Mapper (TM), the National Oceanic and Atmospheric Administration (NOAA)'s Advanced Very High Resolution Radiometer (AVHRR), and France's Système Pour l'Observation de la Terre …