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Articles 5011 - 5040 of 9242
Full-Text Articles in Engineering
Analyzing The Impact Of Socioeconomic Factors On Cancer Clinical Trials Accessibility In The U.S. Using Machine Learning, Krysta L. Ray, Hiromi Honda
Analyzing The Impact Of Socioeconomic Factors On Cancer Clinical Trials Accessibility In The U.S. Using Machine Learning, Krysta L. Ray, Hiromi Honda
ATU Scholars Symposium
While cancer impacts all segments of the United States population, specific groups experience a disproportionate burden of the disease due to social, environmental, and economic disadvantages. This research examines the correlation between socioeconomic factors and the accessibility of cancer clinical trials across U.S. counties, employing a comprehensive dataset, County-Level Socioeconomic and Cancer Clinical Trial Data from Noah Ripper, and advanced machine-learning techniques. Our findings, derived from regression analysis and machine learning models like gradient boosting, highlight significant disparities in trial availability linked to socioeconomic indicators, including poverty rates, population estimates, median income, incidence rates, and mortality rates. Many regression models …
Multi-Rotor Hexicopter, Corbin G. Beard, Payton Riddle, John Washburn, Nate Burckhartzmeyer, Alejandro Gamez
Multi-Rotor Hexicopter, Corbin G. Beard, Payton Riddle, John Washburn, Nate Burckhartzmeyer, Alejandro Gamez
ATU Scholars Symposium
The Multi-Rotor Hexicopter is an original design for an eighteen motor, hydrogen fuel cell powered drone. After initial success with the hydrogen fuel cell powered drone created by previous students, our goal was take their success and create a much larger drone that could be controlled both from the ground and in the air. Our design was based on a drone created by the company Lift Aircraft. The drone is separated into four components that were designed in Autodesk Inventor. The bottom, known as the sled, is used for the storage of the two hydrogen fuel tanks. The second section, …
Processing And Testing Commodity And Engineering Cfrtp Composites, Delia M. Derner, Kristine Osorio
Processing And Testing Commodity And Engineering Cfrtp Composites, Delia M. Derner, Kristine Osorio
Research & Creative Achievement Day
Commodity thermoplastic polymers provide good load transfer to and protection of the reinforcing fibers. However, their mechanical properties are inferior to high-performance thermoplastic polymer composites. Findings of preliminary research conducted at WSU showed that continuous fiber reinforced (CFR) commodity polymers such as PETG and PP have better Izod impact resistance than their high-performance CFR counterparts. Further investigation of these findings is conducted in this research project. Quasi-isotropic laminates of GF/PETG and GF/PET-am are fabricated and tested in drop weight impact. The results will be compared with previously determined results of high-performance CF/PPS, CF/PA12 and GF/PPS. The samples are fabricated using …
Low-Velocity Drop Weight Impact And Compression After Impact Properties Of Symmetric Quasi-Isotropic Cfrtp Composites, Youyi Zhou, Kyungbin Min
Low-Velocity Drop Weight Impact And Compression After Impact Properties Of Symmetric Quasi-Isotropic Cfrtp Composites, Youyi Zhou, Kyungbin Min
Research & Creative Achievement Day
Low-velocity impact properties and residual compression strength after impact performance are used to evaluate composite materials for many applications. In this research, low-velocity drop-weight impact and compression after impact performance of four continuous fiber reinforcement thermoplastic (CFRTP) composites are investigated. Quasi-isotropic samples of GF/PP, CF-PA12, CF-PA6, GF-PA6 were fabricated and tested according to ASTM standards. Three energy levels of 10, 15, and 20 J/mm, were employed in this research. Results indicate that GF/PP exhibits the highest damage resistance and rebound-ability, evidenced by its minimal indentation and damage area, the highest significant damage threshold force, and the highest ratio of impact …
Hybrid Pv-Teg System, Anna-Marie Pesaresi, Paige Woolheater, Chance Eoff, Nicholas Colburn
Hybrid Pv-Teg System, Anna-Marie Pesaresi, Paige Woolheater, Chance Eoff, Nicholas Colburn
ATU Scholars Symposium
This research is focused on an innovative approach to improving the efficiency of a well- established renewable energy source. Solar cells are becoming more prominent as the power industry is shifting towards using more clean energy sources. Photovoltaic (PV) solar cells can only absorb a portion of the irradiance spectrum. The portion that is not absorbed raises the temperature of the system. The efficiency of PV cells drastically decreases as the temperature of the module rises and more energy is lost in the form of heat waste. Thermoelectric generator (TEG), when combined with PV cell, thrives off of the PV …
Environmental Health Impacts Of Small-Scale Gold Mining In East Indonesia: Mercury Pollution And Nature Conservation, Tri Edhi Budhi Soesilo, Nada Ismita Hawa, Nuraeni Nuraeni
Environmental Health Impacts Of Small-Scale Gold Mining In East Indonesia: Mercury Pollution And Nature Conservation, Tri Edhi Budhi Soesilo, Nada Ismita Hawa, Nuraeni Nuraeni
Journal of Sustainable Mining
The expansion of small-scale gold mining impacts environmental health and socioeconomic. Research in Bombana District, one of the gold mining centers in eastern Indonesia, was conducted to explore perceptions of the impact of small-scale gold mining on human health and attitudes towards environmental conservation activities related to small-scale gold mining activities. This research uses a quantitative approach with univariate tests to identify respondent characteristics, bivariate tests (Chi-square) to test relationships and frequency differences, and multivariate analysis (regression) to test the direction and magnitude of the relationship. The perception of the impact of small-scale gold mining on human health was not …
Ergo Carbon Workspace, Ethan C. Atkinson, Joshua N. Hanner, Rachel A. Henderson, Anders Nielsen, Mohamed A. Salat
Ergo Carbon Workspace, Ethan C. Atkinson, Joshua N. Hanner, Rachel A. Henderson, Anders Nielsen, Mohamed A. Salat
Research & Creative Achievement Day
The goal of the Ergo Carbon Workspace is to create a monitor stand that is both lightweight and easily transportable, catering to the needs of modern workspaces. Constructed from carbon fiber, epoxy resin, and a honeycomb core, this design emphasizes portability without sacrificing durability. Incorporating aerospace-grade honeycomb core as well as braided carbon fiber epoxy struts bolsters structural integrity while maintaining a lightweight part. The Ergo Carbon Workspace design facilitates effortless assembly and disassembly, simplifying transportation and packaging. Through the utilization of composite materials, the stand achieves an optimal balance of strength and portability. Ergo Carbon Workspace will also incorporate …
Enhancing Disease Detection In South Asian Freshwater Fish Aquaculture Through Convolutional Neural Networks, Hayin Tamut, Musfikur Rahaman, Dr. Robin Ghosh
Enhancing Disease Detection In South Asian Freshwater Fish Aquaculture Through Convolutional Neural Networks, Hayin Tamut, Musfikur Rahaman, Dr. Robin Ghosh
ATU Scholars Symposium
Aquaculture expansion necessitates innovative disease detection methods for sustainable production. This study investigates the efficacy of Convolutional Neural Networks (CNNs) in classifying diseases affecting South Asian freshwater fish species. The dataset comprises 1747 images representing 7 class, healthy specimens and various diseases: bacterial, fungal, parasitic, and viral. The CNN architecture includes convolutional layers for feature extraction, max-pooling layers for down sampling, dense layers for classification, and dropout layers for regularization. Training employs categorical cross-entropy loss and the Adam optimizer over 30 epochs, monitoring both training and validation performance. Results indicate promising accuracy levels, with the model achieving 92.14% and test …
Anomaly Detection With Spiking Neural Networks (Snn), Shruti Bhandari, Vyshnavi Gogineni
Anomaly Detection With Spiking Neural Networks (Snn), Shruti Bhandari, Vyshnavi Gogineni
ATU Scholars Symposium
Abstract:
Anomaly detection, the identification of rare or unusual patterns that deviate from normal behavior, is a fundamental task with wide-ranging applications across various domains. Traditional machine learning techniques often struggle to effectively capture the complex temporal dynamics present in real-world data streams. Spiking Neural Networks (SNNs), inspired by the spiking nature of biological neurons, offer a promising approach by inherently modeling temporal information through precise spike timing. In this study, we investigate the use of Spiking Neural Networks (SNNs) for detecting anomalies or unusual patterns in data. We propose an SNN model that can learn what constitutes normal …
Mechanical Characterization Of Hemp, Jute, And Flax Based Natural Fibre Composites For Non-Structural Applications In Aircraft And Automobiles, Ravi Kumar B
Theses and Dissertations
Demand for reducing energy consumption and detrimental environmental impacts after the effective lifetime of an engineering material are the major driving factors for the development of natural fibre reinforced composites (NFRCs) in various sectors. Compared to synthetic fibre like carbon-fibres or Kevlar, natural fibres provide several benefits including light weight, inexpensive, recyclability, superior specific strength, biodegradable, non-toxic during handling, and less energy intensive during manufacturing. This doctoral work presents observations from mechanical tests and interpretations on the suitability of natural fibre reinforced composites for less heavily loaded engineering applications areas.
In the first stage, jute, flax, and hemp fibres were …
Exploring Various Integration Methods Of Carbon Quantum Dots In Cspbcl3 Perovskite Solar Cells For Enhanced Power Conversion Efficiency, Eman Sawires, Zahraa Ismail, Mona Samir, Ahmed Agour, Fathy Amer, Hassan Nageh, Sameh O. Abdellatif
Exploring Various Integration Methods Of Carbon Quantum Dots In Cspbcl3 Perovskite Solar Cells For Enhanced Power Conversion Efficiency, Eman Sawires, Zahraa Ismail, Mona Samir, Ahmed Agour, Fathy Amer, Hassan Nageh, Sameh O. Abdellatif
Electrical Engineering
No abstract provided.
A Data-Driven Framework To Inform Sustainable Management Of Animal Manure In Rural Agricultural Regions Using Emerging Resource Recovery Technologies, Mohammed T. Zaki, Lewis Stetson Rowles, Jeff Hallowell, Kevin D. Orner
A Data-Driven Framework To Inform Sustainable Management Of Animal Manure In Rural Agricultural Regions Using Emerging Resource Recovery Technologies, Mohammed T. Zaki, Lewis Stetson Rowles, Jeff Hallowell, Kevin D. Orner
Civil Engineering & Construction: Faculty Publications
Thermochemical conversion technologies are emerging as preferred resource recovery practices for managing animal manure in agricultural regions. Although the implementation of such technologies has been previously studied, difficulties exist in maintaining balance between high rate of resource recovery and low environmental, economic, and social impacts, particularly in rural regions with limited resources. We developed a data-driven framework by integrating machine learning with life cycle thinking that can be used as an open-source tool to help overcome these barriers. The framework was applied to compare two emerging technologies: pyrolysis versus hydrothermal carbonization for managing the excess poultry litter in a rural …
Methods For Finding Best Coset Codes For Physical-Layer Security, Andrew Glenn Swain
Methods For Finding Best Coset Codes For Physical-Layer Security, Andrew Glenn Swain
Theses and Dissertations
Finding best coset codes for secrecy over the binary erasure wiretap channel remains a difficult problem. Greater understanding of the structure of coset codes is necessary to reduce the problem space in which we search for these best codes. This dissertation presents new necessary conditions for a code to be best, including a condition that states that a code must maximize the minimum distance of both itself and its dual. It introduces and evaluates the accuracy of new heuristics to approximate the code's equivocation based on a code's weight enumerator polynomial. We also present a new tool for visualizing the …
Predicted Strength And Ductility Of Roof Truss Diaphragms With Tension-Only Rod Bracing And Hillside Washer Rod Connections, Emma Jean Brown
Predicted Strength And Ductility Of Roof Truss Diaphragms With Tension-Only Rod Bracing And Hillside Washer Rod Connections, Emma Jean Brown
Theses and Dissertations
Metal buildings with roof truss diaphragms and tension-only rod bracing are a common structural system for single story industrial and commercial buildings. Despite the widespread use of metal building diaphragms in modern construction, there is limited knowledge on their strength and ductility under seismic loads. In this study, finite element models of diaphragm subassemblies and a full-size diaphragm were created to determine the strength and ductility of metal building diaphragms with tension-only rod bracing using hillside washer rod connections. Finite element models of two-tier diaphragm specimens that had been previously tested in the laboratory were created. Girders and purlins were …
Advancing Brain Tumor Segmentation With Spectral–Spatial Graph Neural Networks, Sina Mohammadi, Mohamed Allali
Advancing Brain Tumor Segmentation With Spectral–Spatial Graph Neural Networks, Sina Mohammadi, Mohamed Allali
Engineering Faculty Articles and Research
In the field of brain tumor segmentation, accurately capturing the complexities of tumor sub-regions poses significant challenges. Traditional segmentation methods usually fail to accurately segment tumor subregions. This research introduces a novel solution employing Graph Neural Networks (GNNs), enriched with spectral and spatial insight. In the supervoxel creation phase, we explored methods like VCCS, SLIC, Watershed, Meanshift, and Felzenszwalb–Huttenlocher, evaluating their performance based on homogeneity, moment of inertia, and uniformity in shape and size. After creating supervoxels, we represented 3D MRI images as a graph structure. In this study, we combined Spatial and Spectral GNNs to capture both local and …
Radiative Cooling For Energy-Efficient Power Generation, Rickia Hanna
Radiative Cooling For Energy-Efficient Power Generation, Rickia Hanna
Celebrating Scholarship and Creativity Day (2018-)
This thesis examined radiative cooling on a small scale using a hybrid photovoltaic/radiative cooling model system, to determine its efficiency for large-scale power generation. Radiative cooling is concerned with heat transfer and this thesis’s main goal is to harness that heat energy to produce electricity. The efficiency of the system was tested using various light sources at different angles and total power output. The testing was done several times and there proved to be a proportional relationship between light intensity and current output. However, due to the performance threshold of the PTEC module, the component of the system used to …
High-Performance Concrete Comprising Silica Fume: Evaluation Of The Decommissioned Salt Lake City Airport Parking Structure, Trevor William Pratt
High-Performance Concrete Comprising Silica Fume: Evaluation Of The Decommissioned Salt Lake City Airport Parking Structure, Trevor William Pratt
Theses and Dissertations
The objective of this research was to quantify the benefits of silica fume through a detailed investigation of the concrete decks within the now-demolished Salt Lake City International Airport parking structure, which was constructed in 1991, after it had been in service for almost 30 years. Several tests were performed to evaluate each of five areas within the parking structure. The results of field testing included data obtained from visual inspection, chain dragging, Schmidt hammer testing, and cover meter readings, while the results of laboratory testing included data obtained from chloride concentration, modulus of elasticity, electrical impedance, rapid chloride permeability, …
Critical Raw Material In Mineral Elements Found In Fly Ashes From The Czech Republic Power Plant, Agnieszka Klupa
Critical Raw Material In Mineral Elements Found In Fly Ashes From The Czech Republic Power Plant, Agnieszka Klupa
Journal of Sustainable Mining
The economic development of EU countries is limited due to limited access to a number of mineral raw materials, which necessitates actions aimed at securing the supply of CRM. For this reason, CRMs constitute elements of particular importance for the EU. The aim of the study was to assess the content of CRMs as a potential source of REY in fly ash resulting from the coal combustion in one of the power plants in the Czech Republic. In the tested ash the main phases are: glassy phase, mullite and quartz. The chemical composition of the tested fly ashes showed dominance …
Ferroresonance In Three-Phase Electrical Networks, Shavkat Ernstovich Begmatov
Ferroresonance In Three-Phase Electrical Networks, Shavkat Ernstovich Begmatov
Technical science and innovation
Possible modes of ferroresonance in three-phase electric networks and analysis of substitution schemes where ferroresonance voltage increase is observed are considered. The most complete magnetization curve of the transformer core and the analysis of the generalized equivalent substitution scheme are presented, as a result of which more accurate formulas for determining the values of equivalent parameters of the electrical network and voltage transformer in ferroresonance mode are obtained. Factor of ferroresonance voltage increase is introduced, which determines ratio between amplitude values of transformer phase voltage and mains voltage. The method of determination of boundary conditions of steady ferroresonance voltage increase …
Main Prospects Of Natural Gas Purification Technologies From Acidic Compounds, Oybek Yusupdjanovich Aripdjanov, Diyora Zokhid Qizi Khayrullaeva, Jonibek Avazek Ogli Abdumuminov
Main Prospects Of Natural Gas Purification Technologies From Acidic Compounds, Oybek Yusupdjanovich Aripdjanov, Diyora Zokhid Qizi Khayrullaeva, Jonibek Avazek Ogli Abdumuminov
Technical science and innovation
The article discusses the main prospects for the technology of purifying natural gas from acidic components and the problems of ensuring the purity of oil and gas products in accordance with state standards. An increase in the degree of purification from H2S, CO2, elemental sulfur, carbonyl sulfide, ethyl mercaptans (thiols), methyl mercaptan, carbon disulfide, sulfides, disulfides (dithioethers), thiophene, sulfoxides and sulfones is considered. Also, the physicochemical properties of the absorbent for the purification of sulfur compounds (generated during natural gas processing) are studied. Based on the study of various absorbents (ethanolamine (EA), methylethanolamine (MEA), diethanolamine (DEA), …
Development Of An E-Governance Solution For Process Safety Management (Psm) Compliance, Dheerajkumar R Narang
Development Of An E-Governance Solution For Process Safety Management (Psm) Compliance, Dheerajkumar R Narang
Harrisburg University Experiential Learning Projects
E-governance (digital solutions) is the new norm in delivering numerous government services from government to citizens, businesses, institutions, and even other governments across all industry segments. One important application of digital solutions, in the governance space, can potentially be to comprehensively audit and intermittently monitor compliance of process plants with the regional process safety management (PSM) regulations. This presentation unveils the idea of an e-governance PSM solution that will potentially enable the relevant regulatory bodies around the world to seamlessly monitor and intermittently audit the process safety management (PSM) compliance through a digital solution. The presentation builds on an earlier …
Modeling The Human Learning Process Using An Industrial Steam Boiler Analogy To Design A Psychophysiological-Based Hypermedia Adaptive Automation System, Liliana María Villavicencio López
Modeling The Human Learning Process Using An Industrial Steam Boiler Analogy To Design A Psychophysiological-Based Hypermedia Adaptive Automation System, Liliana María Villavicencio López
USF Tampa Graduate Theses and Dissertations
This dissertation aims to address the existing gap in the integration of various dimensions within the student learning system, encompassing cognitive, emotional, and physical variables. The primary objective is to construct a Personalized Learning Adaptive Automation model using Electroencephalography (EEG) technology.
To provide deeper insight into the intricate nature of the Human Learning Process, this study introduces a novel analogy with an Industrial Steam Boiler. This analogy serves as a distinctive contribution to research in the field.
The research methodology involved the collection of brainwaves data from engineering students while they undertook educational tasks of varying levels of difficulty, categorized …
Analysis Of Close Contact Melting, Mohana Durga Gurunadhan
Analysis Of Close Contact Melting, Mohana Durga Gurunadhan
LSU Master's Theses
This report presents a numerical transient analysis of Close Contact Melting (CCM), intended to help in accurate prediction of melt rate and interface configuration, which is to be utilized for a prospective frozen propellant based propulsion system. Three different substrate shapes namely- Flat, Cylindrical and Wedge, are chosen for the study. The domain discretization is based on generation of boundary fitted mesh and the time varying physical domain is transformed to a fixed computational domain, wherein the associated governing equations are solved. Apart from the conventional linear system solvers, an algebraic multigrid based solver is implemented. A non-iterative implicit/explicit melt …
Achieving Room Temperature Plasticity In Brittle Ceramics Through Elevated Temperature Preloading, Chao Shen, Jin Li, Tongjun Niu, Jaehun Cho, Zhongxia Shang, Yifan Zhang, Anyu Shang, Bo Yang, Ke Xu, R. Edwin Garcia, Haiyan Wang, Xinghang Zhang
Achieving Room Temperature Plasticity In Brittle Ceramics Through Elevated Temperature Preloading, Chao Shen, Jin Li, Tongjun Niu, Jaehun Cho, Zhongxia Shang, Yifan Zhang, Anyu Shang, Bo Yang, Ke Xu, R. Edwin Garcia, Haiyan Wang, Xinghang Zhang
Purdue University Libraries Open Access Publishing Fund
Ceramic materials with high strength and chemical inertness are widely used as engineering materials. However, the brittle nature limits their applications as fracture occurs before the onset of plastic yielding. There has been limited success despite extensive efforts to enhance the deformability of ceramics. Here we report a method for enhancing the room temperature plastic deformability of ceramics by artificially introducing abundant defects into the materials via preloading at elevated temperatures. After the preloading treatment, single crystal (SC) TiO2 exhibited a substantial increase in deformability, achieving 10% strain at room temperature. SC α-Al2O3 also showed plastic deformability, 6 to 7.5% …
Dataset For Article - The Analysis Of Lava Flow Path Using Remote Sensing And Geo-Morphological Techniques: The Case Of Volcano Eruptions In Afar Region Of Ethiopia, Oluwatosin Ayo, Jae Sung Kim
Dataset For Article - The Analysis Of Lava Flow Path Using Remote Sensing And Geo-Morphological Techniques: The Case Of Volcano Eruptions In Afar Region Of Ethiopia, Oluwatosin Ayo, Jae Sung Kim
Michigan Tech Research Data
The lava from volcanic eruptions rapidly moves on the Earth surface and affects both natural and man-made features. The objective of this study is to develop a workflow for determining the optimal ground sample distance of a digital elevation model to delineate the lava flow paths using object-based image analysis and geomorphologic analysis. For the experiment, the satellite images and digital elevation model of Afar region of Ethiopia was used. The satellite images of the affected areas were segmented using large-scale mean shift image segmentation to find the lava objects. The main centerline of the lava object from the 2008 …
Wireless Insights Into Cognitive Wellness: A Paradigm Shift In Alzheimer’S Detection Through Ultrathin Wearable Antennas, Fatma Taher, Moath Alathbah, M. Abdel-Aleim M., Thamer Alghamdi, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah
Wireless Insights Into Cognitive Wellness: A Paradigm Shift In Alzheimer’S Detection Through Ultrathin Wearable Antennas, Fatma Taher, Moath Alathbah, M. Abdel-Aleim M., Thamer Alghamdi, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah
All Works
The Proposed algorithm, designed to simulate an Alzheimer’s disease (AD) brain model across different stages, presents an invaluable opportunity for further research and in-depth study of the effects of AD. Currently, there is a notable absence of a comprehensive simulated model for the AD brain that allows the exploration of all AD biomarkers within a simulation tool. This represents a crucial advancement in the field, enabling researchers to thoroughly investigate and understand the diverse biomarkers associated with AD without resorting to highly expensive and ionizing radiation techniques. The algorithm’s capability to emulate various stages of AD in a simulated environment …
Nanozyme-Based Sensing Of Dopamine Using Cobalt-Doped Hydroxyapatite Nanocomposite From Waste Bones, Umar Nishan, Nighat Jabeen, Amir Badshah, Nawshad Muhammad, Mohibullah Shah, Irfan Ullah, Saifullah Afridi, Jibran Iqbal, Muhammad Asad, Riaz Ullah, Essam A. Ali, Sarfraz Ahmed, Suvash Chandra Ojha
Nanozyme-Based Sensing Of Dopamine Using Cobalt-Doped Hydroxyapatite Nanocomposite From Waste Bones, Umar Nishan, Nighat Jabeen, Amir Badshah, Nawshad Muhammad, Mohibullah Shah, Irfan Ullah, Saifullah Afridi, Jibran Iqbal, Muhammad Asad, Riaz Ullah, Essam A. Ali, Sarfraz Ahmed, Suvash Chandra Ojha
All Works
Dopamine is one of the most important neurotransmitters and plays a crucial role in various neurological, renal, and cardiovascular systems. However, the abnormal levels of dopamine mainly point to Parkinson’s, Alzheimer’s, cardiovascular diseases, etc. Hydroxyapatite (HAp), owing to its catalytic nature, nanoporous structure, easy synthesis, and biocompatibility, is a promising matrix material. These characteristics make HAp a material of choice for doping metals such as cobalt. The synthesized cobalt-doped hydroxyapatite (Co-HAp) was used as a colorimetric sensing platform for dopamine. The successful synthesis of the platform was confirmed by characterization with FTIR, SEM, EDX, XRD, TGA, etc. The platform demonstrated …
Acoustothermal Transfection For Cell Therapy, Xiufang Liu, Ning Rong, Zhenhua Tian, Joseph Rich, Lili Niu, Pengqi Li, Laixin Huang, Yandai Dong, Wei Zhou, Pengfei Zhang, Yizhao Chen, Congzhi Wang, Long Meng, Tony Jun Huang, Hairong Zheng
Acoustothermal Transfection For Cell Therapy, Xiufang Liu, Ning Rong, Zhenhua Tian, Joseph Rich, Lili Niu, Pengqi Li, Laixin Huang, Yandai Dong, Wei Zhou, Pengfei Zhang, Yizhao Chen, Congzhi Wang, Long Meng, Tony Jun Huang, Hairong Zheng
Faculty Publications
Transfected stem cells and T cells are promising in personalized cell therapy and immunotherapy against various diseases. However, existing transfection techniques face a fundamental trade-off between transfection efficiency and cell viability; achieving both simultaneously remains a substantial challenge. This study presents an acoustothermal transfection method that leverages acoustic and thermal effects on cells to enhance the permeability of both the cell membrane and nuclear envelope to achieve safe, efficient, and high-throughput transfection of primary T cells and stem cells. With this method, two types of plasmids were simultaneously delivered into the nuclei of mesenchymal stem cells (MSCs) with efficiencies of …
Induced Oxidation Effects On Physical And Mechanical Properties Of Lignite From Tempoku, Hokkaido, Japan For Sustainable Mining Via Subsurface Cultivation And Gasification Method, Akm Badrul Alam, Noritaka Aramaki, Shuji Tamamura, Akio Ueno, Takuma Murakami, Yoshiaki Fujii, Katsuhiko Kaneko
Induced Oxidation Effects On Physical And Mechanical Properties Of Lignite From Tempoku, Hokkaido, Japan For Sustainable Mining Via Subsurface Cultivation And Gasification Method, Akm Badrul Alam, Noritaka Aramaki, Shuji Tamamura, Akio Ueno, Takuma Murakami, Yoshiaki Fujii, Katsuhiko Kaneko
Journal of Sustainable Mining
The lignite resource has been under consideration for the subsurface cultivation and gasification (SCG) method to produce biomethane from lignite in Hokkaido, Japan. The primary phase of the method entails initiating the oxidative transformation of lignite using an H2O2 solution, resulting in the formation of dissolved organic carbon (DOC), a pivotal component. To examine the effects of induced oxidation on lignite's mechanical properties, artificial oxidation tests were conducted to form DOC. While there was a slight decrease in P-wave velocity and density, the uniaxial compression and indirect tensile strengths, as well as stiffness, did not decrease. These …
A Hybrid Communication System Using 5g Cellular And Ads-B For Uavs In High-Density Airspaces, Coulton Lee Karch
A Hybrid Communication System Using 5g Cellular And Ads-B For Uavs In High-Density Airspaces, Coulton Lee Karch
Theses and Dissertations
Robust communication is required to provide a safe airspace for the large numbers of unmanned aerial systems that are coming to the National Airspace System (NAS). This thesis explores methods for providing robust communication to large numbers of vehicles in the NAS. Automatic dependent surveillance-broadcast (ASD-B) is a transmission system that can transmit to and is currently required on all manned aircraft. Unfortunately, ADS-B suffers connectivity problems when supporting large numbers of unmanned aerial systems (UAS). The 5G Cellular protocol can support large numbers of UAS, but connectivity suffers with an increase in distance and interference. Using a 5G cellular …