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The Accurate Conversion Of Biological Experiments From Cesium Irradiation To X-Ray Irradiation: The Significance, Problems, And The Future Of Experimental Radiation Research, Gretchen Carpenter Oct 2024

The Accurate Conversion Of Biological Experiments From Cesium Irradiation To X-Ray Irradiation: The Significance, Problems, And The Future Of Experimental Radiation Research, Gretchen Carpenter

Dartmouth College Master’s Theses

Preclinical small animal irradiation studies, once conducted on Cesium irradiators, are increasingly being performed with X-ray-based irradiators. The transition stems from concerns regarding national security risks, making X-ray irradiators which are compact and easy to operate an enticing alternative. However, questions regarding the relative biological effectiveness between the two sources have revealed a lack of adequate dosimetric characterization of X-ray beams, standardized protocol for dose calibration, and thorough understanding of experimental biological parameters. A literature review conducted on orthovoltage irradiators has revealed that there are over 54 different types of beam structures used, a dramatic departure from the one uniform …

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Augmented Reality (Ar) And Virtual Reality (Vr)-Based Data Visualization Frameworks For The Manufacturing Industry, Nitol Saha Oct 2024

Augmented Reality (Ar) And Virtual Reality (Vr)-Based Data Visualization Frameworks For The Manufacturing Industry, Nitol Saha

Theses and Dissertations

Industry 4.0 is transforming the manufacturing industry by integrating digital technologies throughout the production lifecycle, leading to the development of smart factories. The integration of Augmented Reality (AR) and Virtual Reality (VR) alongside smart manufacturing is transforming traditional industry practices by establishing a robust cyber-physical infrastructure, enhanced data visualization, and improved task execution. This thesis aims to develop AR and VR-based data visualization frameworks for the manufacturing industry, focusing on detailed implementation strategies, initial results, and key findings of these frameworks. One major focus of these frameworks is the generalization of the technological assets so that these frameworks can be …

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Unveiling Similarities In The Code Of Life: A Detailed Exploration Of Dna Sequence Matching Algorithm, Mahmoud Y. Shams, Romany M. Farag, Dalia A. Aldawody, Huda E. Khalid, Ahmed K. Essa, Hazem M. El-Bakry, A. A. Salama Oct 2024

Unveiling Similarities In The Code Of Life: A Detailed Exploration Of Dna Sequence Matching Algorithm, Mahmoud Y. Shams, Romany M. Farag, Dalia A. Aldawody, Huda E. Khalid, Ahmed K. Essa, Hazem M. El-Bakry, A. A. Salama

Neutrosophic Systems with Applications

Identifying similar DNA sequences is crucial in various biological research endeavors. This paper delves into the intricate workings of a specific algorithm designed for this purpose. We provide a systematic explanation, exploring how the algorithm handles user input, reads stored DNA sequences, utilizes the Word2Vec model for vector representation, and calculates sequence similarity using diverse metrics like Cosine Similarity and Neutrosophic Distance. Additionally, the paper explores the incorporation of neutrosophic values to account for uncertainty in the comparisons. Finally, we discuss the extraction of results, including matched sequences, similarity scores, and accuracy measures. This in-depth exploration provides a clear understanding …

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An Approach To Multi-Attribute Decision-Making Based On Single-Valued Neutrosophic Hesitant Fuzzy Aczel-Alsina Aggregation Operator, Raiha Imran, Kifayat Ullah, Zeeshan Ali, Maria Akram Oct 2024

An Approach To Multi-Attribute Decision-Making Based On Single-Valued Neutrosophic Hesitant Fuzzy Aczel-Alsina Aggregation Operator, Raiha Imran, Kifayat Ullah, Zeeshan Ali, Maria Akram

Neutrosophic Systems with Applications

A single-valued Neutrosophic hesitant fuzzy set (SVNHFS) is a combination of a single-valued neutrosophic set (SVNS) and hesitant fuzzy set (HFS) that has been developed to address insufficient, unreliable, and vague environments in which each element has several possible options determined by the truthiness, indeterminacy and falsity value. By considering this, in this paper, we have proposed the Aczel-Alsina aggregation operator (AAAO) for SVNHFS, which is more flexible t-norm and t-conorm than the other and due to the flexible nature of parameters to solve Multi-Attribute decision making (MADM) problems. Further, the score function, accuracy function, and certainty function of SVNHFS …

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Vascular Calcification In A Mouse Model Of Chronic Kidney Disease And In Human Peripheral Arterial Disease, Breanna Pederson Oct 2024

Vascular Calcification In A Mouse Model Of Chronic Kidney Disease And In Human Peripheral Arterial Disease, Breanna Pederson

Theses and Dissertations

Vascular calcification is a process in which calcium and phosphate crystallize to form hydroxyapatite in the extracellular matrix of blood vessels. There are two forms of arterial calcification: intimal and medial, which occur via different etiologies. Intimal calcification is associated with atherosclerosis and occurs in the layer of endothelial cells adjacent to the artery lumen. Medial arterial calcification (MAC) is independent of atherosclerosis and occurs in the middle, muscular layer of the artery. MAC is strongly associated with aging, diabetes mellitus, and chronic kidney disease (CKD). MAC is frequently in patients with peripheral arterial disease (PAD). Most studies to date …

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A Sophisticated Model Of Human Atherosclerosis On A Chip, Brandon J. Tefft Oct 2024

A Sophisticated Model Of Human Atherosclerosis On A Chip, Brandon J. Tefft

Biomedical Engineering Faculty Research and Publications

No abstract provided.

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Realtime And Noninvasive Assessment Of Endotracheal Tube Displacement Using Near-Infrared And Visible Cameras, Tongtong Lu, Pawjai Khampang, Ahmed Beydoun, Rebecca Rodhe, Wenzhou Hong, Joseph E. Kerschner, Bing Yu Oct 2024

Realtime And Noninvasive Assessment Of Endotracheal Tube Displacement Using Near-Infrared And Visible Cameras, Tongtong Lu, Pawjai Khampang, Ahmed Beydoun, Rebecca Rodhe, Wenzhou Hong, Joseph E. Kerschner, Bing Yu

Biomedical Engineering Faculty Research and Publications

Endotracheal tube (ETT) intubation is a medical procedure routinely used for achieving mechanical ventilation in critically ill patients. Appropriate ETT placement is crucial as undetected tube migration may cause multiple complications or even fatalities. Therefore, prompt detection of unplanned movement of the ETT and immediate action to restore proper placement are essential to ensure patient safety. Despite this necessity, there is not a widely adopted tool for real-time assessment of ETT displacement. We have developed a device, a dual-camera endotracheal tube or DC-ETT, to address this unmet clinical need. This device uses a near-infrared (NIR) LED and a side-firing optical …

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Conversion Of Fish Waste Oil Into Biofuel: An Experimental Study, Mahmoud A. Mohamed, Hany A. Elazab, Mamdouh A. Gadalla, Fatma A. Ashour Sep 2024

Conversion Of Fish Waste Oil Into Biofuel: An Experimental Study, Mahmoud A. Mohamed, Hany A. Elazab, Mamdouh A. Gadalla, Fatma A. Ashour

Chemical and Biochemical Engineering Faculty Research & Creative Works

Egypt is famous for its fish wealth, given its large coasts and freshwater resources, especially of Nile Tilapia and Mugilid fish. It was estimated that domestic fish production increased from 889 thousand tonnes in 2005 to 1620 thousand tonnes in 2016. Thousands of tonnes of fish are consumed yearly, generating substantial amounts of fish waste and residues. Some 26% of the fish consumed is a typical waste. Fish wastes have a significant role in many processes and applications. They are used as feedstock for producing fish meals, a major by-product of fish waste oil. Fish oil is extracted for medical …

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The Importance Of Humanities In A Career-Focused Educational Environment, Geoff Zylstra, Jill Belli, Candido Cabo, Sean Macdonald, Robin Michals, Ann Marie Sowder, Christopher B. Swift Sep 2024

The Importance Of Humanities In A Career-Focused Educational Environment, Geoff Zylstra, Jill Belli, Candido Cabo, Sean Macdonald, Robin Michals, Ann Marie Sowder, Christopher B. Swift

Publications and Research

The humanities have the potential to enhance STEM curriculum in career-oriented professional degree programs. As part of a larger college-wide initiative to develop interdisciplinary curricula, the National Endowment for the Humanities (NEH) awarded a grant to New York City College of Technology to explore the relationship between the humanities and career-focused degree programs in STEM departments. This article describes the design and implementation of coursework that bridges the curricular divides between humanities disciplines and technical or career-focused disciplines by bringing the humanities to bear on science and technology-oriented courses. Specifically, the humanities served to improve technical skills for students in …

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Multi-Functional Gelatin-Dithiolane Hydrogels For Tissue Engineering, Saad Asim, Cody Tuftee, Asma Talib Qureshi, Rachel Callaghan, Moira L. Geary, Mithun Santra, Vaibhav Pal, Ilayda Namli, Gary Hin Fai Yam, Ibrahim T. Ozbolat, Muhammad Rizwan Sep 2024

Multi-Functional Gelatin-Dithiolane Hydrogels For Tissue Engineering, Saad Asim, Cody Tuftee, Asma Talib Qureshi, Rachel Callaghan, Moira L. Geary, Mithun Santra, Vaibhav Pal, Ilayda Namli, Gary Hin Fai Yam, Ibrahim T. Ozbolat, Muhammad Rizwan

Michigan Tech Publications

Biomaterials that integrate multiple functionalities, mimic the extracellular matrix (ECM) microenvironment to support cellular growth, and adhere robustly to damaged tissues are highly needed to advance tissue engineering. Protein-based biomaterials are promising due to their inherent biocompatibility, biomimicry, biodegradation, and cell-supportive properties. Herein, by leveraging the unique ability of dithiolanes to generate on-demand in situ thiols, a new class of dithiolane-modified, protein-based biomaterial that combines unique, seemingly opposing functions for tissue engineering is developed. Dithiolane-modified gelatin, a model protein used herein, enabled photoinitiator-free photo-crosslinking to form multi-functional gelatin-dithiolane (GelDT) hydrogels, which displayed exceptional long-term stability in cell culture media ( …

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A Novel Model Of Autologous Tooth Transplantation For The Study Of Nerve Recruitment, Teresa E. Fowler, Doan T. Bloomquist, Caroline Glessner, Poonam Patel, Jeffrey N. James, Kathryn Bollinger, Lynnette P. Mccluskey, Ryan F. Bloomquist Sep 2024

A Novel Model Of Autologous Tooth Transplantation For The Study Of Nerve Recruitment, Teresa E. Fowler, Doan T. Bloomquist, Caroline Glessner, Poonam Patel, Jeffrey N. James, Kathryn Bollinger, Lynnette P. Mccluskey, Ryan F. Bloomquist

School of Dentistry Faculty Publications

Background: Limited treatment options exist for damaged nerves and despite impressive advances in tissue engineering, scientists and clinicians have yet to fully replicate nerve development and recruitment. Innervation is a critical feature for normal organ function. While most organs are innervated prior to birth, a rare example of postnatal nerve recruitment occurs in the natural development of secondary teeth during adolescence. Many animals undergo postnatal shedding of deciduous teeth with development and eruption of secondary teeth, a process requiring recruitment of nerve and vasculature to each tooth pulp for viability. Here, the investigators created a novel model for the study …

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Polyvinyl Alcohol–Red Cabbage Nanofibers As Ph-Responsive Freshness Sensors For Advanced Food Packaging Technology, Foliatini Foliatini, Singgih Wibowo, Henny Rochaeni, Suhartini Suhartini, Fachrurrazie Fachrurrazie, Arzzaq Imanda Prianditya, Pradnadia Putri Hadriansyah, Naura Athira Putri Siregar, Novi Nurpadilah, Putri Alfiani, Maudi Rahim, Endah Sriwahyuni Sep 2024

Polyvinyl Alcohol–Red Cabbage Nanofibers As Ph-Responsive Freshness Sensors For Advanced Food Packaging Technology, Foliatini Foliatini, Singgih Wibowo, Henny Rochaeni, Suhartini Suhartini, Fachrurrazie Fachrurrazie, Arzzaq Imanda Prianditya, Pradnadia Putri Hadriansyah, Naura Athira Putri Siregar, Novi Nurpadilah, Putri Alfiani, Maudi Rahim, Endah Sriwahyuni

Makara Journal of Science

The development of innovative food packaging technologies, particularly those capable of monitoring freshness, has become increasingly important in the food industry. This research explores the development of a pH-responsive freshness sensor using polyvinyl alcohol–red cabbage (PVA/RC) nanofibers. The nanofibers are fabricated through the electrospinning technique and meticulously analyzed via scanning electron microscopy, Fourier-transform infrared (FTIR) spectroscopy, and differential scanning calorimetry (DSC). The results underscore the fine structure of the nanofiber matrix, with an average diameter of ~68 nm. FTIR analysis substantiates the presence of anthocyanin compounds from RC within the PVA/RC nanofibers, which confirms the integration of beneficial components into …

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An Optimal Schedule Recovery Model For Transportation Carriers Under Uncertain Typhoon Disruption Periods, Yi-Chun Chen, Shangyao Yan Sep 2024

An Optimal Schedule Recovery Model For Transportation Carriers Under Uncertain Typhoon Disruption Periods, Yi-Chun Chen, Shangyao Yan

Journal of Marine Science and Technology–Taiwan

Due to the unsettled weather conditions caused by typhoons, it is not possible to forecast the time when a typhoon will arrive or depart accurately. The uncertainty regarding the duration of typhoon disruptions makes it challenging for transportation carriers to efficiently adjust their schedules. In this study, to deal with the problem of airline fleet rerouting, flight rescheduling, and passenger reassignment for uncertain disruption periods caused by a typhoon, we utilize network flow techniques with the concept of probability to construct a stochastic model for minimizing the total operating costs. A heuristic algorithm based on the divide-and-conquer technique is adopted …

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Targeted Weed Management Of Palmer Amaranth Using Robotics And Deep Learning (Yolov7), Amlan Balabantaray, Shaswati Behera, Cheetown Liew, Nipuna Chamara, Mandeep Singh, Amit J. Jhala, Santosh Pitla Sep 2024

Targeted Weed Management Of Palmer Amaranth Using Robotics And Deep Learning (Yolov7), Amlan Balabantaray, Shaswati Behera, Cheetown Liew, Nipuna Chamara, Mandeep Singh, Amit J. Jhala, Santosh Pitla

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Effective weed management is a significant challenge in agronomic crops which necessitates innovative solutions to reduce negative environmental impacts and minimize crop damage. Traditional methods often rely on indiscriminate herbicide application, which lacks precision and sustainability. To address this critical need, this study demonstrated an AI-enabled robotic system, Weeding robot, designed for targeted weed management. Palmer amaranth (Amaranthus palmeri S. Watson) was selected as it is the most troublesome weed in Nebraska. We developed the full stack (vision, hardware, software, robotic platform, and AI model) for precision spraying using YOLOv7, a state-of-the-art object detection deep learning technique. The …

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Amino Acid-Based Protein-Mimic Hydrogel Incorporating Pro-Regenerative Lipid Mediator And Microvascular Fragments Promotes The Healing Of Deep Burn Wounds, Yan Lu, Shanchun Su, Chih Chang Chu, Yuichi Kobayashi, Abdul Razak Masoud, Hongying Peng, Nathan Lien, Mingyu He, Christopher Vuong, Ryan Tran, Song Hong Sep 2024

Amino Acid-Based Protein-Mimic Hydrogel Incorporating Pro-Regenerative Lipid Mediator And Microvascular Fragments Promotes The Healing Of Deep Burn Wounds, Yan Lu, Shanchun Su, Chih Chang Chu, Yuichi Kobayashi, Abdul Razak Masoud, Hongying Peng, Nathan Lien, Mingyu He, Christopher Vuong, Ryan Tran, Song Hong

School of Medicine Faculty Publications

Pro-regenerative lipid mediator 1 (PreM1) is a specialized pro-resolving lipid mediator that promotes wound healing and regenerative functions of mesenchymal stem cells (MSCs), endothelial cells, and macrophages. The healing of third-degree (3°) burns and regenerative functions of MSCs are enhanced by ACgel1, an arginine-and-chitosan-based protein-mimic hybrid hydrogel. Adipose-tissue derived microvascular fragments (MVFs) are native vascularization units and a rich source of MSCs, endothelial cells, and perivascular cells for tissue regeneration. Here we describe an innovative PreM1-MVFs-ACgel1 construct that incorporated PreM1 and MVFs into ACgel1 via optimal design and fabrication. This construct delivered PreM1 to 3°-burn wounds at least up to …

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Distracted Driving: Identification, Contributing Factors, And Safety Countermeasures, Ahmed Sajid Hasan Sep 2024

Distracted Driving: Identification, Contributing Factors, And Safety Countermeasures, Ahmed Sajid Hasan

Theses and Dissertations

Distracted driving is a hazardous behavior responsible for 25% of all fatal traffic crashes in New Jersey. While traditional methods such as surveys, videos, and simulations have been used to identify and evaluate distracted driving events, these approaches primarily provide cross-sectional data that fails to capture the true rate of distraction on the road. This study addresses this limitation by collecting longitudinal data on distracted driving events across selected corridors in New Jersey. A data collection team continuously drove through these corridors, manually counting and video recording driver distraction events. The collected data was then analyzed to assess the significance …

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Injectable Hydrogels That Can Measure Radiation At Body Temperature, Daniel Joseph Ball Sep 2024

Injectable Hydrogels That Can Measure Radiation At Body Temperature, Daniel Joseph Ball

Theses and Dissertations

Hydrogel-based radiation dosimeters are used to calibrate and validate radiation delivered by linear accelerators used in radiotherapy. Specifically, Fricke hydrogel-based dosimeters containing ferrous ion complexes oxidize upon exposure to radiation, leading to a change in optical density that can be measured via a color change in a photometric reagent. While gelatin-based Fricke hydrogels are routinely used to measure radiation, these hydrogels are unstable at body temperature, and it is currently not possible to noninvasively measure radiation dose inside a patient. This study reports the synthesis and characterization of self-forming hydrogels containing Fricke components that are stable at body temperature. The …

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Prediction Of Mooring System Characteristics Of The Floating Barge Using Deep Neural Networks, Janghoon Seo, Dong-Woo Park Sep 2024

Prediction Of Mooring System Characteristics Of The Floating Barge Using Deep Neural Networks, Janghoon Seo, Dong-Woo Park

Journal of Marine Science and Technology–Taiwan

The present study establishes deep learning models to predict the tensions and inclinations of mooring lines of a floating barge and verifies applicability of these models. Hydrodynamic and mooring analyses are conducted on the dataset used for the deep learning models. Three types of neural network models include a deep neural network (DNN) with input data representing the six degrees of freedom motions of a floating barge, convolutional neural network (CNN) with input images of the floating barge and mooring lines on a horizontal plane, and hybrid neural network (HNN) that consolidates the characteristics of DNN and CNN models. The …

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Glycerol-Free Biodiesel Via Catalytic Interesterification: A Pathway To A Netzero Biodiesel Industry, Nessren Farrag, Omar Youssef Youssef, Esraa Khaled, Omar Aboelazayem Sep 2024

Glycerol-Free Biodiesel Via Catalytic Interesterification: A Pathway To A Netzero Biodiesel Industry, Nessren Farrag, Omar Youssef Youssef, Esraa Khaled, Omar Aboelazayem

Chemical Engineering

Conventional biodiesel manufacturing uses alcohol as an acyl acceptor, resulting in glycerol as a side product. The increased demand for biodiesel has led to the production of a substantial surplus of glycerol, exceeding the market need. Consequently, glycerol is now being regarded as a byproduct, and in some cases, even as waste. The present study aims to suggest an economically viable and ecologically friendly approach for maintaining the viability of the biodiesel sector. This involves generating an alternative byproduct of higher value, rather than glycerol. Triacetin is produced through the interesterification of triglycerides with methyl acetate, and is a beneficial …

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Use Of Pulsed Electric Fields And Hydrogen Peroxide For Pre And Postharvest Strategies To Reduce Microbial Loads On Fresh Produce, Zachary Rosenzweig Sep 2024

Use Of Pulsed Electric Fields And Hydrogen Peroxide For Pre And Postharvest Strategies To Reduce Microbial Loads On Fresh Produce, Zachary Rosenzweig

Theses and Dissertations

Several issues exist within the agricultural industry surrounding failure to prevent pathogen transfer to plants preharvest and failure to decontaminate foods postharvest. Fresh produce, like leafy greens, pose a large threat to public safety if contaminated because they are minimally processed and often eaten raw. Numerous outbreaks have been linked to fresh produce in recent decades, with irrigation water emerging as a potential source. These outbreaks have severe economic repercussions and can contribute to millions of hospitalizations and deaths each year, worldwide. This thesis focuses on the usage of pulsed electric fields (PEF) and hydrogen peroxide (H2O2) as a means …

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Nanofiber-Hydrogel Composite Scaffold Fabrication Methods For Peripheral Nerve Regeneration, Jacob Lee Carter Sep 2024

Nanofiber-Hydrogel Composite Scaffold Fabrication Methods For Peripheral Nerve Regeneration, Jacob Lee Carter

Theses and Dissertations

Nerve graft conduits (NGCs) are a rapidly advancing field for treating peripheral nerve injuries that aim to guide the growth of regenerating axons across damaged gaps. A more effective NGC can be manufactured by combining the use of nanofibers to act as guidewires within a 3-D hydrogel that imitates the extracellular matrix of nerve tissue. Several methods have been developed to embed aligned nanofibers in an ordered architecture within a hydrogel matrix. The first method involves layer-by-layer additive manufacturing to create NGCs with rows of polycaprolactone (PCL) nanofibers surrounded by a gelatin methacrylate (GelMe) hydrogel in a 3-D structure. A …

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Big Geospatiotemporal Data Approaches To Monitoring And Mitigating Environmental Impacts In Agriculture, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Arafath Nihar, Yinghui Wu, Jeffrey Yarus, Roger H. French Sep 2024

Big Geospatiotemporal Data Approaches To Monitoring And Mitigating Environmental Impacts In Agriculture, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Arafath Nihar, Yinghui Wu, Jeffrey Yarus, Roger H. French

Student Scholarship

This research explores the application of geospatial techniques for global agricultural monitoring, integrating satellite imagery and soil data to assess crop health and soil conditions. Our approach provides actionable insights to improve agricultural productivity and sustainability, addressing food security challenges through advanced machine learning models.

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Reduced Order Modeling (Rom) Using Machine Learning Techniques For Analyzing Fluid Flow Around A Ground Vehicle, Emmanuel Ong'aro Ramogi Sep 2024

Reduced Order Modeling (Rom) Using Machine Learning Techniques For Analyzing Fluid Flow Around A Ground Vehicle, Emmanuel Ong'aro Ramogi

All ETDs from UAB

Predicting wind and temperature fields around military vehicles during extended missions is crucial to avoid detectability by infrared (IR) devices. Also, the abrupt shifting of wind direction can have a significant impact on vehicle stability. This is a challenging task due to the vehicles' geometric complexity and the unpredictable nature of wind direction, which can shift abruptly. Computational Fluid Dynamics (CFD) is routinely used for calculating the flow fields around ground vehicles. However, this requires extensive computational time and memory, making it unsuitable for real-time analysis. To address these challenges, this research focuses on machine learning (ML) techniques for accurate …

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Integrated Environmental Vulnerability Assessment And Adaptation Strategies For Coastal Areas Under Sustainable Development, Lien-Kwei Chien, Yu-Chi Li, Chia-Feng Hsu Sep 2024

Integrated Environmental Vulnerability Assessment And Adaptation Strategies For Coastal Areas Under Sustainable Development, Lien-Kwei Chien, Yu-Chi Li, Chia-Feng Hsu

Journal of Marine Science and Technology–Taiwan

This research focuses on the holistic management and environmental vulnerability of coastal areas in Taiwan within the framework of sustainable development. With economic and social growth gravitating towards coastal regions, the strain on the natural environment is increasing. Therefore, discovering a balance between economic progress and environmental conservation is paramount. To decipher the vulnerability of Taiwan's coastal zones, this study first defines ‘Integrated Environmental Vulnerability of Coastal Areas.’Key vulnerability factors were identified across environmental, social, and economic dimensions. Seven core determinants were determined using the Fuzzy Delphi method: biodiversity, coastal erosion, water pollution, population density, population aging, land utilization, and …

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Evalution Of The Ability To Infer Tilt Angle And Size Distributions Of Fish Using A Broadband Scientific Echosounder Based On Simulation, Jing Liu Sep 2024

Evalution Of The Ability To Infer Tilt Angle And Size Distributions Of Fish Using A Broadband Scientific Echosounder Based On Simulation, Jing Liu

Journal of Marine Science and Technology–Taiwan

The biological information, such as species, size, and tilt angle, is crucial for converting the echo data into biomass information in acoustic surveys. Typically, the information can be obtained through trawl net sampling or underwater camera observations. However, both methods have some limitations. To overcome these limitations, scientists have utilized inversion methods with multi-frequency and broadband echosounders to derive biological information about fish, plankton, and krill. However, evaluating the reliability and accuracy of these inversion methods has been challenging due to the difficulty in obtaining accurate biological information. In this study, a numerical simulation method was used to generate fish …

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A Marine Knowledge System For Ocean Affairs: Integrating Data, Evaluating Usage, And Enabling Sustainable Marine Management, Yu-Jen Pan Sep 2024

A Marine Knowledge System For Ocean Affairs: Integrating Data, Evaluating Usage, And Enabling Sustainable Marine Management, Yu-Jen Pan

Journal of Marine Science and Technology–Taiwan

This study presents the evolution and assessment of the Marine Knowledge Education System (MKES), designed to improve user acceptance among students in professional marine science courses in Taiwan. The MKES leverages real-world maritime cases from the General Coast Guard Administration and is built upon existing technologies like cloud services, social networks, and data analysis tools. The technology acceptance model (TAM) provides the theoretical underpinning for the assessment of user confidence. Data was collected from 190 participants through purposive sampling. Path analysis confirmed all hypothesized relationships within the TAM with statistical significance (p < 0.001). Additionally, paired-sample t-tests revealed a significant increase in student acceptance of the MKES after integrating it into the marine science curriculum. These findings underscore the capacity of the MKES as a digital learning tool to enrich course pedagogy and improve student learning outcomes, thereby offering valuable support in advancing the education of professional marine managers.

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Smart Toys For Sensing And Soothing Distress In Pediatric Patients, Jonathan Daniel Bonilla Sep 2024

Smart Toys For Sensing And Soothing Distress In Pediatric Patients, Jonathan Daniel Bonilla

Dartmouth College Master’s Theses

This thesis develops and evaluates child-centered technologies to support remote monitoring of pediatric patients, with an emphasis on childhood cancer and pediatric chronic pain. For these and many other health conditions, current therapies tend to focus on treating physical symptoms yet neglect the psycho-emotional aspects of managing the illness. However, such mental states play a major role in recovery. Research has shown that cancer patients with better mental health have better prognoses, higher possibilities of remission, and faster healing processes, while chronic pain patients with better mental health report lower levels of pain. To enable more personalized, continuous, and scalable …

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Sustainable Mobility, Shams Tanvir Sep 2024

Sustainable Mobility, Shams Tanvir

Mavs Open Press Open Educational Resources - Archive

This textbook and OER material cover tools and basic knowledge required to prepare transportation engineers and planners to contribute towards a carbon-neutral mobility future. The goal of the textbook is to train engineering students on existing tools and policy levers that can be used to incorporate emerging transportation technologies in a sustainable, equitable, and efficient manner.

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Investigating A Pollinator Curriculum (1-3 Grade), Divya Baranwal Sep 2024

Investigating A Pollinator Curriculum (1-3 Grade), Divya Baranwal

Multidisciplinary Studies Research

In this unit, elementary graders will identify and explain the pollen, flowering plants, and pollination process, and labelled various parts of a flower, pollinators. They will build the model of pollinators, initial models of the reproductive parts of plants. They will explore the 3D shapes, magnifying glasses, area and volume, modelling and explain low-high fidelity prototyping, engineering design process. The unit is designed by providing an abundance of practical ways to learn the significance of the pollination process and to get to know about pollinators and pollen in a place-based environment. Here, students will engage, explore, explain, elaborate and evaluate …

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Development Of A Disc Blade Cutting System For Sesame Harvesting: Determination Of Operating Criteria And Energy Requirements, Selcuk Ugurluay, Gamze Genc Sep 2024

Development Of A Disc Blade Cutting System For Sesame Harvesting: Determination Of Operating Criteria And Energy Requirements, Selcuk Ugurluay, Gamze Genc

The Philippine Agricultural Scientist

This study aimed to explore the use of rotary disc blades in cutting, since the mowing units used in sesame harvesting contain many parts, require frequent lubrication, and have vibration problems. An experimental setup with a disc blade working on a cut-mowing system based from harvesting methods of sesame plants was designed and fabricated. The most suitable cutting criteria which are blade edge types (30°-30°, 30°-Flat, 45°-45°, 45°-Flat) and disc blade diameters (150, 180, and 210 mm) were determined for shearing and disc cutting action. The lowest cutting energy was consumed by the disc blade with a 30°-wedge angle at …

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