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Articles 369481 - 369510 of 5173684
Full-Text Articles in Entire DC Network
Integration Of A Kongsberg Em712 Aboard A Drix Uncrewed Surface Vehicle, Val Schmidt, Larry A. Mayer
Integration Of A Kongsberg Em712 Aboard A Drix Uncrewed Surface Vehicle, Val Schmidt, Larry A. Mayer
Center for Coastal and Ocean Mapping
The Center for Coastal and Ocean Mapping at the University of New Hampshire owns and operates “DriX-8”, an Uncrewed Surface Vehicle (USV) manufactured by Exail and funded by NOAA’s Office of Ocean Exploration and Research through the Ocean Exploration Cooperative Institute. The DriX vehicle was designed for acoustic survey operations, providing a high-endurance platform with hydrographic grade navigation systems and a subsea gondola for sonars. As delivered, DriX-8 was equipped with a Kongsberg EM2040 with typical full-swath capability to water depths of 200-300 m. NOAA expressed interest in future survey operations to depths exceeding 1000m and encouraged integration of a …
Optimizing The Accuracy Of Bathymetric Maps Developed Using Automated And Manual Techniques To Extract Training Data From Icesat-2 Data, Andrea Granger, Kim Lowell
Optimizing The Accuracy Of Bathymetric Maps Developed Using Automated And Manual Techniques To Extract Training Data From Icesat-2 Data, Andrea Granger, Kim Lowell
Center for Coastal and Ocean Mapping
SDB (satellite-derived bathymetry) is a cost-effective solution for large-area bathymetric mapping. Calibration of SDB models relies on in situ depth points traditionally obtained from ship-borne measurements, presenting challenges in collecting data in remote shallow areas. ICESat-2 (Ice, Cloud, Land, Elevation Satellite-2) is equipped with a laser altimeter that successfully records shallow water depths (<40m), providing an efficient solution for acquiring in situ depth data. This study compares manual and automated ICESat-2 bathymetric photon extraction techniques and determines an optimal bathymetric photon event sampling strategy. The objective is to assess how these techniques impact the accuracy of SDB maps. Integrated with Sentinel-2 imagery, the extracted ICESat-2 data train bathymetric inversion models. Various controlled ICESat-2 bathymetric photon resampling techniques are then employed to determine the optimal approach for improving the accuracy of SDB maps. NOAA lidar reference data are used to compare the automated and manual SDB extraction and evaluate the impact of resampling ICESat-2 bathymetric photon events. Anticipated results show that the depth distribution of ICESat-2 bathymetric photon events and the automated bathymetric photon extraction techniques have a considerable impact on SDB map accuracy. These findings hold significance for supporting initiatives in navigational safety, coastal management, marine ecosystem studies, and seafloor mapping.
Quantum Intelligence In Beyond 5g Networks: Current Progress, And Open Avenues, Byeong-Gwon Kang, Yunyoung Nam
Quantum Intelligence In Beyond 5g Networks: Current Progress, And Open Avenues, Byeong-Gwon Kang, Yunyoung Nam
Sustainable Machine Intelligence Journal
The emergence of fifth-generation (5G) wireless technologies leads to enlarging network complexity as a result of massive data generation, exhaustive operating costs, time, energy, and the burdens of planning and management. Artificial intelligence (AI) has been demonstrated to have a vital role in improving data analytics and decision-making in massive 5G networks. On the other hand, Quantum Computing is an evolving technology for handling exponential expansion in the data dimensions and calculating linear algebra quicker and more proficiently than traditional computers implying reduced computational costs and energy consumption. The unification between these disciplines engenders the concept of “Quantum Intelligence", which …
Enhancing Prognostics Of Pem Fuel Cells With A Dual-Attention Lstm Network For Remaining Useful Life Estimation: A Deep Learning Model, Ahmed Darwish
Enhancing Prognostics Of Pem Fuel Cells With A Dual-Attention Lstm Network For Remaining Useful Life Estimation: A Deep Learning Model, Ahmed Darwish
Sustainable Machine Intelligence Journal
The Proton Exchange Membrane Fuel Cell (PEMFC) presents itself as a viable and effective technology to consider for transportation purposes. An essential aspect in the realm of electric vehicles is the crucial evaluation of the deterioration of the PEMFC stack. This paper proposed a data-driven deep learning framework that combines a Long Short-Term Memory (LSTM), self-attention, and scaled dot-product attention mechanism in order to enhance the precision of Remaining Useful Life (RUL) prediction for Proton Exchange Membrane Fuel Cells (PEMFCs). The LSTM enables the model to comprehend intricate temporal patterns and produce more abstract data representations. The self-attention mechanism is …
Validation Of A Blood-Based Protein Biomarker Panel For A Risk Assessment Of Lethal Lung Cancer In The Physicians' Health Study, Lulu Song, Ehsan Irajizad, Andrew Rundle, Howard D Sesso, John Michael Gaziano, Jody V Vykoukal, Kim-Anh Do, Jennifer B Dennison, Edwin J Ostrin, Johannes F Fahrmann, Frederica Perera, Samir Hanash
Validation Of A Blood-Based Protein Biomarker Panel For A Risk Assessment Of Lethal Lung Cancer In The Physicians' Health Study, Lulu Song, Ehsan Irajizad, Andrew Rundle, Howard D Sesso, John Michael Gaziano, Jody V Vykoukal, Kim-Anh Do, Jennifer B Dennison, Edwin J Ostrin, Johannes F Fahrmann, Frederica Perera, Samir Hanash
Faculty, Staff and Student Publications
This study aimed to assess a four-marker protein panel (4MP)'s performance, including the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19, for predicting lung cancer in a cohort enriched with never- and ever-smokers. Blinded pre-diagnostic plasma samples collected within 2 years prior to a lung cancer diagnosis from 25 cases and 100 sex-, age-, and smoking-matched controls were obtained from the Physicians' Health Study (PHS). The 4MP yielded AUC performance estimates of 0.76 (95% CI: 0.61-0.92) and 0.69 (95% CI: 0.56-0.82) for predicting lung cancer within one year and within two years of diagnosis, respectively. …
Transport Of Non-Classical Light Mediated By Topological Domain Walls In A Ssh Photonic Lattice, Gabriel O'Ryan Pérez, Joaquín Medina Dueñas, Diego Guzmán-Silva, Luis E F Foa Torres, Carla Hermann-Avigliano
Transport Of Non-Classical Light Mediated By Topological Domain Walls In A Ssh Photonic Lattice, Gabriel O'Ryan Pérez, Joaquín Medina Dueñas, Diego Guzmán-Silva, Luis E F Foa Torres, Carla Hermann-Avigliano
Faculty, Staff and Student Publications
Advancements in photonics technologies have significantly enhanced their capability to facilitate experiments involving quantum light, even at room temperature. Nevertheless, fully integrating photonic chips that include quantum light sources, effective manipulation and transport of light minimizing losses, and appropriate detection systems remains an ongoing challenge. Topological photonic systems have emerged as promising platforms to protect quantum light properties during propagation, beyond merely preserving light intensity. In this work, we delve into the dynamics of non-classical light traversing a Su-Schrieffer-Heeger photonic lattice with topological domain walls. Our focus centers on how topology influences the quantum properties of light as it moves …
Wellness Promotion Quality Improvement Project, Jacqueline K. Cantor
Wellness Promotion Quality Improvement Project, Jacqueline K. Cantor
Dissertations
The purpose of this capstone project was to bring evidence-based wellness promotion through physical activity (PA) using the World Health Organization (WHO) (2020) guidelines to Psychiatric Mental Health Advanced Practice Nurses (PMH-APRNs) to improve mental health care and provider self-care. The guiding PICOT question was "For PMH-APRNs in community-based mental health practices, will the consistent implementation of the evidence-based intervention of a wellness prescription promoting physical activity based on WHO's (2020) PA Guidelines, compared to no consistent use in current practice, increase the promotion/prescription of PA to their mental health patients and increase the PMH-APRNs' own physical activity over eight …
Attitudes, Opinions, And Beliefs Of Teachers Toward Dual Immersion Programs In Utah Schools, Amy Lynn Hawks
Attitudes, Opinions, And Beliefs Of Teachers Toward Dual Immersion Programs In Utah Schools, Amy Lynn Hawks
Theses and Dissertations
Dual language immersion programs have been on the rise in the United States as a proven effective form of bilingual education. As of the 2018–2019 academic year, Utah had 224 dual language immersion (DLI) programs; 113 Spanish, 65 Chinese, 30 French, 13 Portuguese, 2 German and 1 Russian. Roughly 34,000 students were enrolled in one of these programs. The DLI programs in Utah use a 50:50 model, which means half of the students' day is in the partner language model and half is in English. The purpose of my study was to research teachers’ attitudes, opinions, and beliefs within a …
Neurorehabilitation With Vagus Nerve Stimulation: A Systematic Review, Radha Korupolu, Alyssa Miller, Andrew Park, Nuray Yozbatiran
Neurorehabilitation With Vagus Nerve Stimulation: A Systematic Review, Radha Korupolu, Alyssa Miller, Andrew Park, Nuray Yozbatiran
Faculty, Staff and Student Publications
OBJECTIVE: To systematically review vagus nerve stimulation (VNS) studies to present data on the safety and efficacy on motor recovery following stroke, traumatic brain injury (TBI), and spinal cord injury (SCI).
METHODS: Data sources: PubMed, EMBASE, SCOPUS, and Cochrane.
STUDY SELECTION: Clinical trials of VNS in animal models and humans with TBI and SCI were included to evaluate the effects of pairing VNS with rehabilitation therapy on motor recovery.
DATA EXTRACTION: Two reviewers independently assessed articles according to the evaluation criteria and extracted relevant data electronically.
DATA SYNTHESIS: Twenty-nine studies were included; 11 were animal models of stroke, TBI, and …
Complementing Vehicle Trajectories Using Two Camera Viewpoints, Katsuaki Nakano
Complementing Vehicle Trajectories Using Two Camera Viewpoints, Katsuaki Nakano
Theses
Traffic volume surveying is a crucial activity to get traffic statistics for road management and traffic congestion control. In recent years, the target environment of traffic volume surveying has become more complex, such as the fully automated surveillance of many-way intersections. Further compounding this complexity, some local governments may not be able to install a camera at a high enough elevation to capture the entire intersection due to environmental, legal, safety, or cost restrictions. Therefore, bigger objects such as buses and trucks often occlude other vehicles in the captured image. This occlusion degrades the accuracy of counting and is one …
Decolonizing Classrooms In Remote Learning: Rehumanizing Ourselves And Our Students During The Covid-19 Pandemic, Nadia Khan-Roopnarine
Decolonizing Classrooms In Remote Learning: Rehumanizing Ourselves And Our Students During The Covid-19 Pandemic, Nadia Khan-Roopnarine
The Curriculum Studies Collaborative Journal
No abstract provided.
Machine Learning Models For Predicting Blood Pressure Phenotypes By Combining Multiple Polygenic Risk Scores, Yana Hrytsenko, Benjamin Shea, Michael Elgart, Nuzulul Kurniansyah, Genevieve Lyons, Alanna C Morrison, April P Carson, Bernhard Haring, Braxton D Mitchell, Bruce M Psaty, Byron C Jaeger, C Charles Gu, Charles Kooperberg, Daniel Levy, Donald Lloyd-Jones, Eunhee Choi, Jennifer A Brody, Jennifer A Smith, Jerome I Rotter, Matthew Moll, Myriam Fornage, Noah Simon, Peter Castaldi, Ramon Casanova, Ren-Hua Chung, Robert Kaplan, Ruth J F Loos, Sharon L R Kardia, Stephen S Rich, Susan Redline, Tanika Kelly, Timothy O'Connor, Wei Zhao, Wonji Kim, Xiuqing Guo, Yii-Der Ida Chen, Trans-Omics In Precision Medicine Consortium, Tamar Sofer
Machine Learning Models For Predicting Blood Pressure Phenotypes By Combining Multiple Polygenic Risk Scores, Yana Hrytsenko, Benjamin Shea, Michael Elgart, Nuzulul Kurniansyah, Genevieve Lyons, Alanna C Morrison, April P Carson, Bernhard Haring, Braxton D Mitchell, Bruce M Psaty, Byron C Jaeger, C Charles Gu, Charles Kooperberg, Daniel Levy, Donald Lloyd-Jones, Eunhee Choi, Jennifer A Brody, Jennifer A Smith, Jerome I Rotter, Matthew Moll, Myriam Fornage, Noah Simon, Peter Castaldi, Ramon Casanova, Ren-Hua Chung, Robert Kaplan, Ruth J F Loos, Sharon L R Kardia, Stephen S Rich, Susan Redline, Tanika Kelly, Timothy O'Connor, Wei Zhao, Wonji Kim, Xiuqing Guo, Yii-Der Ida Chen, Trans-Omics In Precision Medicine Consortium, Tamar Sofer
Faculty, Staff and Student Publications
We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model's performance as percentage variance explained (PVE) on a held-out test …
A Non-Weight Centered Approach To Modifying Eating Attitudes In Polycystic Ovarian Syndrome, Jo'quishia A. Lethermon
A Non-Weight Centered Approach To Modifying Eating Attitudes In Polycystic Ovarian Syndrome, Jo'quishia A. Lethermon
Dissertations
Polycystic Ovarian Syndrome (PCOS) is an anovulatory disorder characterized by insulin resistance and endocrine dysfunction. Infertility and abnormal weight gain in women of childbearing age are often a result of PCOS, impacting quality of life and posing potential long-term health sequelae. Prescribing weight loss has been adopted by clinicians as an effective intervention to improve insulin resistance. For some patients, this practice has led to the negative effects of weight cycling and disordered eating attitudes which can result in long term adverse cardiometabolic outcomes. A quasi-experimental pre-and-post-test study was conducted to evaluate how a non-weight centered program influences eating attitudes …
Editor's Notes, Daniel Chapman
Editor's Notes, Daniel Chapman
The Curriculum Studies Collaborative Journal
No abstract provided.
Black Digital Publics, Pandemics, And Critical Race Pedagogy: Possibilities For Transformative Anti-Racism Curriculum In Teacher Education, Serena Wilcox
The Curriculum Studies Collaborative Journal
No abstract provided.
(Re)Creating Self/(Re)Creating Space: A Multimodal Co/Autoethnographic Analysis Of Teacher Identity In Relation To Space During Remote Learning, Emily Bascelli, Tricia Kress
(Re)Creating Self/(Re)Creating Space: A Multimodal Co/Autoethnographic Analysis Of Teacher Identity In Relation To Space During Remote Learning, Emily Bascelli, Tricia Kress
The Curriculum Studies Collaborative Journal
No abstract provided.
Technological Neutrality In The Neoliberal Ethos, Gustavo Delao
Technological Neutrality In The Neoliberal Ethos, Gustavo Delao
The Curriculum Studies Collaborative Journal
No abstract provided.
Shadowing Students And Schools In The Time Of Covid: One Teacher Education Program's Solution, Janel Janiczek Smith, Taylor Norman
Shadowing Students And Schools In The Time Of Covid: One Teacher Education Program's Solution, Janel Janiczek Smith, Taylor Norman
The Curriculum Studies Collaborative Journal
No abstract provided.
Cultural Fluency: Learning To Reach After Being Taught To Teach, Caroline Whitcomb, Carlos Marshall
Cultural Fluency: Learning To Reach After Being Taught To Teach, Caroline Whitcomb, Carlos Marshall
The Curriculum Studies Collaborative Journal
No abstract provided.
Unveiling The Metaverse: A Survey Of User Perceptions And The Impact Of Usability, Social Influence And Interoperability, Mousa Al-Kfairy, Ayham Alomari, Mahmood Al-Bashayreh, Omar Alfandi, Mohammad Tubishat
Unveiling The Metaverse: A Survey Of User Perceptions And The Impact Of Usability, Social Influence And Interoperability, Mousa Al-Kfairy, Ayham Alomari, Mahmood Al-Bashayreh, Omar Alfandi, Mohammad Tubishat
All Works
This review explores the Metaverse, focusing on user perceptions and emphasizing the critical aspects of usability, social influence, and interoperability within this emerging digital ecosystem. By integrating various academic perspectives, this analysis highlights the Metaverse's significant impact across various sectors, emphasizing its potential to reshape digital interaction paradigms. The investigation reveals usability as a cornerstone for user engagement, demonstrating how social dynamics profoundly influence user behaviors and choices within virtual environments. Furthermore, the study outlines interoperability as a paramount challenge, advocating for establishing unified protocols and technologies to facilitate seamless experiences across disparate Metaverse platforms. It advocates for the adoption …
Egypt’S Legal Modernism: Challenging The National Discourse, Mohamed A. El-Deeb
Egypt’S Legal Modernism: Challenging The National Discourse, Mohamed A. El-Deeb
Theses and Dissertations
Egypt’s legal modernity is the story of the modern Egyptian state itself. Reforming the country’s judiciary in the late nineteenth century was meant to achieve ambitious aims beyond the functionality of a justice system. The utmost goal was the country’s independence from the suzerainty of the Ottoman Empire. The judicial reforms modernized the Egyptian state and built a judiciary and legal community like no other place. Egypt achieved its independent judiciary before gaining its political independence. That was a remarkable achievement of the judicial reform. That rich part of Egypt’s modern history is negated and disregarded from public awareness. Not …
Bio-Functional Properties And Phytochemical Composition Of Selected Apis Mellifera Honey From Africa, Nelly N. Ndungu, Timothy M. Kegode, Justus K. Kurgat, Steve B.S. Baleba, Xavier Cheseto, S. Turner, Geraud C. Tasse Taboue, J. M. Kasina, Sevgan Subramanian, Beatrice T. Nganso
Bio-Functional Properties And Phytochemical Composition Of Selected Apis Mellifera Honey From Africa, Nelly N. Ndungu, Timothy M. Kegode, Justus K. Kurgat, Steve B.S. Baleba, Xavier Cheseto, S. Turner, Geraud C. Tasse Taboue, J. M. Kasina, Sevgan Subramanian, Beatrice T. Nganso
All Peer-Reviewed Publications
Globally, the demand for natural remedies such as honey to manage ailments has increased. Yet, the health benefits and chemical composition of African honeys are not well understood. Therefore, this study aimed to characterise the bio-functional properties and the phytochemical composition of 18 Apis mellifera honeys from Kenya, Uganda, and Cameroon in comparison to the popular and commercially available Manuka 5+ honey from New Zealand. The 2,2-diphenyl-1-picrylhydrazyl radical scavenging assay (DPPH-RSA) was used to determine the antioxidant property, whilst the agar well diffusion and broth dilution (Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC)) assays were used to determine …
The Business Of Abortion: Access To Capital Post Dobbs, Itay Ravid, Jonathan Zandberg
The Business Of Abortion: Access To Capital Post Dobbs, Itay Ravid, Jonathan Zandberg
Faculty Publications
Access to credit—that is, the ability to receive financial leverage that could help jump-start businesses—is one of the most significant barriers preventing millions of American women from opening new businesses. Congress has attempted to address this issue since the 1970s, with legislation like the Equal Credit Opportunity Act (ECOA). Nevertheless, studies continue to show a persistent gender gap in access to credit. Scholars have offered a host of explanations for this gap, focusing on both the supply and demand sides of the equation.
This Article contributes to this growing scholarly exploration by offering a new, overlooked explanation for this gap: …
The Central Role Of Perceived Safety In Connecting Crash Risk Factors And Walking Behavior, Kyu Ri Kim
The Central Role Of Perceived Safety In Connecting Crash Risk Factors And Walking Behavior, Kyu Ri Kim
Dissertations and Theses
Despite advanced policies, plans, and facilities, many pedestrians are still injured and killed in traffic crashes in the United States. To improve pedestrian safety and the walking environment, the relationship between surrounding crash risk factors and perceived safety that influence people's behavior needs to be studied. This study aims to examine pedestrian crash risk factors, the relationship between crash risk factors and perceived safety, measured as threatened experiences and safety attitudes, and the relationship between safety attitudes and walking behavior.
The analysis used data from three primary sources: (1) an original survey of 551 residents in 10 neighborhoods in Oregon …
Three Essays On Communicative Planning: From The Perspective Of East Asians, Minji Cho
Three Essays On Communicative Planning: From The Perspective Of East Asians, Minji Cho
Dissertations and Theses
Communicative planning aims to strengthen the inclusiveness of planning by shifting the paradigm from the perception that the public is considered an object affected by the planning process to an active participant. In modern society, where people's values are more diverse, communicative planning can be an alternative way to reflect the opinions of people with diverse identities for decision-making. At the same time, however, it is criticized for its difficulty in universal application, particularly in non-Western countries. Scholars argue that since communicative planning theory is biased toward Anglo-Americans' context, it requires a specific contextual condition.
In this background, this dissertation …
A Phase-1 Trial Of Intensive Hybrid Stuttering Modification/Fluency Shaping Therapy, Jessica Smith
A Phase-1 Trial Of Intensive Hybrid Stuttering Modification/Fluency Shaping Therapy, Jessica Smith
USF Tampa Graduate Theses and Dissertations
Purpose: The purpose of this study was to analyze changes in frequency stuttering behaviors, speech rate, and feelings/attitudes following the University of South Florida Program for Advanced Treatment of Stuttering (USF-PATS), a hybrid stuttering modification/fluency shaping program intended for teenagers and adults who stutter moderately to very severely.
Method: Baseline and post-treatment speech samples for participants (N = 3) were analyzed for speech rate and presence of stuttering behaviors (repeated movements, fixed postures, and superfluous behaviors) across conditions (monologue and reading). An abbreviated thematic analysis was completed to analyze feelings/attitudes post-treatment.
Results: Results revealed a decrease to zero and near-zero …
Modeling And Forecasting Cyanobacterial Harmful Algal Blooms (Cyanohabs) In Lake Pontchartrain, Shekhar Mahat
Modeling And Forecasting Cyanobacterial Harmful Algal Blooms (Cyanohabs) In Lake Pontchartrain, Shekhar Mahat
LSU Master's Theses
Harmful algal blooms (HABs) frequently occur in coastal waters worldwide, adversely affecting economies, human health, aquatic ecosystems, and recreational activities. Lake Pontchartrain, an oligohaline estuary, experienced frequent HABs from 2018 to 2023. While NOAA’s NCCOS and USEPA’s CyAN currently monitor cyanobacteria harmful algal blooms (CyanoHABs) in coastal, freshwater, and riverine systems, there is a notable lack of systems monitoring phycocyanin concentrations in the lake. This thesis utilizes satellite remote sensing environmental stressors to model and predict CyanoHABs in Lake Pontchartrain using machine learning techniques. A key focus of this study is assessing the forecasting capabilities of the random forest method …
Examining Content And Construct Validity Of The Nyu Langone Health Nursing Education And Competency Algorithm (Ne-Ca), Vincenza Counglin, Alice Nash
Examining Content And Construct Validity Of The Nyu Langone Health Nursing Education And Competency Algorithm (Ne-Ca), Vincenza Counglin, Alice Nash
Sigma Foundation for Nursing Research Grant Reports
The purpose of this research study is to explore if the NYULH NE-CA is a reliable and valid process for identifying nursing education and competency in the acute care setting.
Performance Of The Public Service Bureaucracy: Urban, Rural, And Building Tax Service Model (Pbb-P2) Based On Information And Technology, Rahmawati Rahmawati, Raniasa Putra
Performance Of The Public Service Bureaucracy: Urban, Rural, And Building Tax Service Model (Pbb-P2) Based On Information And Technology, Rahmawati Rahmawati, Raniasa Putra
BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi
The community needs effective, efficient, and accountable public services, including tax services. The Urban & Rural Land & Building Tax (PBB-P2) is a new type of tax for the regions. In the course of its management, there are obstacles and problems. Among them, the community as taxpayers (WP) has difficulty fulfilling their obligations to pay taxes. In addition, the weak administration system of services to taxpayers is due to limited human resources (HR) facilities, infrastructure, organizations, and others. Regional Financial and Asset Management (BPPKAD) considers the bureaucracy too long and prone to deposit discrepancies. The research method used is descriptive …