A Proof Of Concept For Detection Of Palato-Lingual Contact Without Intraoral Electrodes In A Human Participant,
2023
University of Southern Mississippi
A Proof Of Concept For Detection Of Palato-Lingual Contact Without Intraoral Electrodes In A Human Participant, Amitava Biswas
Master's Theses
The author of this thesis conceived and investigated an unexpected electrical signal that may not be noticed during regular electroglottography (EGG) when electrodes are conventionally placed on the anterior surface of the throat. It appears that there is a measurable electrical signal from the EGG equipment when electrodes are placed over the frontal cheek (belly of zygomatic muscle), and the tongue is elevated to contact the hard palate, or the tongue is lowered to break the contact. Therefore, this phenomenon is designated as unconventional electroglottography (UEGG, Dr. Steven Cloud, private communication, July 17, 2022).
Two distinctive patterns of waveforms were …
Mechanical Properties And Morphological Alterations In Fiber-Based Scaffolds Affecting Tissue Engineering Outcomes,
2023
Materic LLC
Mechanical Properties And Morphological Alterations In Fiber-Based Scaffolds Affecting Tissue Engineering Outcomes, James Dolgin, Samerender Nagam Hanumantharao, Stephen Farias, Carl G. Simon, Smitha Rao
Michigan Tech Publications, Part 1
Electrospinning is a versatile tool used to produce highly customizable nonwoven nanofiber mats of various fiber diameters, pore sizes, and alignment. It is possible to create electrospun mats from synthetic polymers, biobased polymers, and combinations thereof. The post-processing of the end products can occur in many ways, such as cross-linking, enzyme linking, and thermal curing, to achieve enhanced chemical and physical properties. Such multi-factor tunability is very promising in applications such as tissue engineering, 3D organs/organoids, and cell differentiation. While the established methods involve the use of soluble small molecules, growth factors, stereolithography, and micro-patterning, electrospinning involves an inexpensive, labor …
Investigating Myosin Ensemble Force Generation Using Optical Tweezers,
2023
University of Mississippi
Investigating Myosin Ensemble Force Generation Using Optical Tweezers, Janie Watts
Honors Theses
Myosin is a motor protein that facilitates muscle contraction and movement by stepping along actin filaments using energy from ATP hydrolysis. If myosin or other motors are disrupted throughout the body, it can have many harmful effects. Hypertrophic cardiomyopathy is a disease caused by gene mutations that affect myosin heavy chains in the heart. The tissue of the heart becomes abnormally thick, which can make it more difficult to pump blood or block blood flow out of the heart. Our goal is to discern the mechanistic difference function of a healthy and diseased heart. To accomplish this, we construct model …
Regenerative Medicine For Tendon/Ligament Injuries: De Novo Equine Tendon/Ligament Neotissue Generation And Application,
2023
Louisiana State University and Agricultural and Mechanical College
Regenerative Medicine For Tendon/Ligament Injuries: De Novo Equine Tendon/Ligament Neotissue Generation And Application, Takashi Taguchi
LSU Doctoral Dissertations
Tendon and ligament injuries are debilitating conditions across species. Poor regenerative capacities of these tissues limit restoration of original functions. The first study evaluated the effect of cellular administration on tendon/ligament injuries in horses using meta-analysis. The cellular administration was effective in restoring ultrasonographic echogenicity and increasing vascularity during early phase of healing. Additionally, it improved microstructural organization of healed tissue in terms of cellularity and fiber alignment. However, the study did not support its use for increasing rate of return to performance, expression/deposition of tendon-specific genes/proteins, or mechanical properties.
The findings led to the second study that engineered implantable …
Advanced Biomedical Laboratory (Abl) Synergy With Communication, Robotics, And Iot,
2023
Kennesaw State University
Advanced Biomedical Laboratory (Abl) Synergy With Communication, Robotics, And Iot, Razvan Cristian Voicu, Steven Steele, Jorge Diaz Rodriguez, Yusun Chang, Chan Ham
Symposium of Student Scholars
This paper proposes a framework for integrating IoT and automation in a biomedical laboratory to improve safety, optimize processes, and enhance students' learning experience. The framework incorporates a centralized control unit and distributed subsystems to control equipment and machinery and includes autonomous robotics and intelligent monitoring systems. The paper presents the results of undergraduate students' work on automating various biomedical processes, including developing an Intelligent Autonomous Monitoring (IAM) device. IAM utilizes machine learning algorithms to identify outliers in processes and safety hazards. Moreover, IAM autonomously detects and localizes biomedical tools and equipment. Results show the feasibility of delivering real-time results …
Biomedical Sensing - A Sensor Fusion Approach For Improved Medical Detection And Monitoring,
2023
Kennesaw State University
Biomedical Sensing - A Sensor Fusion Approach For Improved Medical Detection And Monitoring, Ammy Ovando, Ricardo Ramirez, Steven Steele, Amir Ali Amiri Moghadam, Yusun Chang, Razvan Voicu
Symposium of Student Scholars
Enhanced technological advancement in computation, communication, and sensing has dramatically changed the dynamics of modern medicine. Advancing preventive medicine is paramount to a sustainable improvement in the quality of life and life expectancy. On-body sensors provide continuous measurements for healthy and ailing individuals leading to faster recovery and more timely detection of illnesses. Novel sensor designs and sensor fusion for preventive monitoring can provide extensible benefits, including a better understanding of ailment progression, treatment optimization, and patient feedback through data analytics and visualization. However, existing research does not thoroughly investigate sensor fusion approaches in biomedical sensing, as well as spot …
Development Of A Fish Robot Equipped With Novel 3d-Printed Soft Bending Actuators,
2023
Deakin University, Australia
Development Of A Fish Robot Equipped With Novel 3d-Printed Soft Bending Actuators, Steven Steele, Jorge Diaz Rodriguez, Sharun Sripathy, Turaj Ashuri, Saleh Gharaie, Yusun Chang, Amir Ali Amiri Moghadam
Symposium of Student Scholars
This paper reports on design and fabrication of a novel soft fish robot. Application of soft actuators for the fish tail will generates continuum bending motion which resembles the natural motion of the fish. However, most soft actuator mechanisms are complex and have low efficiency. Thus, to address this issue we have developed a 3D printed soft bending actuator which can be actuated with an electromotor. The basic design idea of the soft bending actuator is explained, and iteration of the design showed to create the desired motion for the soft tail. The soft actuator has been successfully integrated with …
Portable Diffuse Reflectance Spectroscopy For Non-Invasive And Quantitative Assessment Of The Parathyroid Glands Viability During Surgery,
2023
Kennesaw State University
Portable Diffuse Reflectance Spectroscopy For Non-Invasive And Quantitative Assessment Of The Parathyroid Glands Viability During Surgery, Mark Romine, Linh Luong, Alex Moazzen, Katie Cho, Paul Lee
Symposium of Student Scholars
Portable Diffuse Reflectance Spectroscopy for Non-invasive and Quantitative Assessment of the Parathyroid Glands Viability During Surgery
Mark Romine, Linh Luong, Alex Moazzen, Katie Cho and Paul Lee
The parathyroid glands (PTGs) are responsible for the regulation of calcium levels in the blood by secreting a parathyroid hormone. This parathyroid hormone then regulates the body’s absorption, storage, and secretion of calcium, which can directly affect the way muscles and nerves operate. PTGs are often at risk of damage, or accidental removal during thyroid surgeries, because it is challenging to identify PTGs and to determine their viability. Current methods of visual inspections …
Wireless, Handheld Diffuse Reflectance Spectroscopy To Quantify Tissue Microvascular Hemodynamics,
2023
Kennesaw State University
Wireless, Handheld Diffuse Reflectance Spectroscopy To Quantify Tissue Microvascular Hemodynamics, Linh Luong, Alex Moazzen, Mark Romine, Katie Cho, Paul Lee
Symposium of Student Scholars
Diffuse Reflectance Spectroscopy (DRS) is a non-invasive optical method to characterize tissue optical properties for disease diagnosis and health monitoring. Two optical fibers are often used in a DRS system: one to deliver light to the tissue and the other to gather diffuse reflectance spectra, which provide quantitative details about the structure and composition of the tissue. The conventional DRS system, however, is expensive, bulky, and composed of fragile optical fibers and multiple electrical connections. Here we propose to build a wireless, handheld, and fiber-less diffuse optical spectroscopy system. Unfortunately, the diffusion approximation utilized for data analysis of the conventional …
Spatiotemporal Prediction Of Microstructure Evolution With Predictive Recurrent Neural Network,
2023
Boise State University
Spatiotemporal Prediction Of Microstructure Evolution With Predictive Recurrent Neural Network, Amir Abbas Kazemzadeh Farizhandi, Mahmood Mamivand
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Prediction of microstructure evolution during material processing is essential to control the material properties. Simulation tools for microstructure evolution prediction based on physical concepts are computationally expensive and time-consuming. Therefore, they are not practical when either there is an urgent need for microstructure morphology during the process or there is a need to generate big microstructure datasets. Essentially, microstructure evolution prediction is a spatiotemporal sequence prediction problem, where the prediction of material microstructure is difficult due to different process histories and chemistry. We propose a Predictive Recurrent Neural Network (PredRNN) model for the microstructure prediction, which extends the inner-layer transition …
3d Reconstruction Of Syndactylized Hand In Autodesk Recap Photo With Arduino,
2023
Ohio Northern University
3d Reconstruction Of Syndactylized Hand In Autodesk Recap Photo With Arduino, Caleb E. Scheideger
ONU Student Research Colloquium
Syndactyly is one of the most common congenital malformations of the hand and is a result of a failed separation of adjacent digits. These digits are common among congenital limb malformations that affect 1 out of 2,000-3,000 people at birth. A reconstructive surgery would be needed to separate the digital skin, reconstruct the web space between fingers, and cover the separated digits with soft tissues. Finding the optimal shape and size for a dorsal flap in the web commissure reconstruction is important to avoid web creep. Conducting a numerical study with known mechanical properties, such as Young’s Modulus of the …
Recent Advances In Antimicrobial Peptide Hydrogels,
2023
Rowan University
Recent Advances In Antimicrobial Peptide Hydrogels, Aryanna Copling, Maxwell Akantibila, Raaha Kumaresan, Gilbert Fleischer, Dennise Cortes, Rahul S Tripathi, Valerie J. Carabetta, Sebastian Vega
Cooper Medical School of Rowan University Departmental Research
Advances in the number and type of available biomaterials have improved medical devices such as catheters, stents, pacemakers, prosthetic joints, and orthopedic devices. The introduction of a foreign material into the body comes with a risk of microbial colonization and subsequent infection. Infections of surgically implanted devices often lead to device failure, which leads to increased patient morbidity and mortality. The overuse and improper use of antimicrobials has led to an alarming rise and spread of drug-resistant infections. To overcome the problem of drug-resistant infections, novel antimicrobial biomaterials are increasingly being researched and developed. Hydrogels are a class of 3D …
Enhancement Of Deep Learning Protein Structure Prediction,
2023
Ocean Lakes High School
Enhancement Of Deep Learning Protein Structure Prediction, Ruoming Shen
Modeling, Simulation and Visualization Student Capstone Conference
Protein modeling is a rapidly expanding field with valuable applications in the pharmaceutical industry. Accurate protein structure prediction facilitates drug design, as extensive knowledge about the atomic structure of a given protein enables scientists to target that protein in the human body. However, protein structure identification in certain types of protein images remains challenging, with medium resolution cryogenic electron microscopy (cryo-EM) protein density maps particularly difficult to analyze. Recent advancements in computational methods, namely deep learning, have improved protein modeling. To maximize its accuracy, a deep learning model requires copious amounts of up-to-date training data.
This project explores DeepSSETracer, a …
Counterventions: A Reparative Reflection On Interventionist Hci,
2023
Purdue University
Counterventions: A Reparative Reflection On Interventionist Hci, Rua Mae Williams, Louanne E. Boyd, Juan E. Gilbert
Engineering Faculty Articles and Research
Research in HCI applied to clinical interventions relies on normative assumptions about which bodies and minds are healthy, valuable, and desirable. To disrupt this normalizing drive in HCI, we define a “counterventional approach” to intervention technology design informed by critical scholarship and community perspectives. This approach is meant to unsettle normative assumptions of intervention as urgent, necessary, and curative. We begin with a historical overview of intervention in HCI and its critics. Then, through reparative readings of past HCI projects in autism intervention, we illustrate the emergent principles of a counterventional approach and how it may manifest research outcomes that …
Utilizing Robust Design To Optimize Composite Bioadhesive For Promoting Dermal Wound Repair,
2023
Michigan Technological University
Utilizing Robust Design To Optimize Composite Bioadhesive For Promoting Dermal Wound Repair, Rattapol Pinnaratip, Zhongtian Zhang, Ariana Smies, Pegah Kord Forooshani, Xiaoqing Tang, Rupak Rajachar, Bruce Lee
Michigan Tech Publications, Part 1
Catechol-modified bioadhesives generate hydrogen peroxide (H2O2) during the process of curing. A robust design experiment was utilized to tune the H2O2 release profile and adhesive performance of a catechol-modified polyethylene glycol (PEG) containing silica particles (SiP). An L9 orthogonal array was used to determine the relative contributions of four factors (the PEG architecture, PEG concentration, phosphate-buffered saline (PBS) concentration, and SiP concentration) at three factor levels to the performance of the composite adhesive. The PEG architecture and SiP wt% contributed the most to the variation in the results associated with the H2O2 release profile, as both factors affected the crosslinking …
Image Analysis Methodology For Evaluating Coating Uniformity Of Drug-Coated Angioplasty Balloons,
2023
Louisiana State University and Agricultural and Mechanical College
Image Analysis Methodology For Evaluating Coating Uniformity Of Drug-Coated Angioplasty Balloons, Allison Dobson Zieschang
LSU Master's Theses
Percutaneous transluminal balloon angioplasty (PTA) is a surgical procedure to treat peripheral artery disease, but restenosis causes suboptimal outcomes in many patients. Drug-coated angioplasty balloons (DCBs) were developed to reduce the risk of restenosis by delivering anti-proliferative drugs to the lesion. The efficacy of DCBs depends on factors like drug loading and drug release rate, both of which are directly impacted by the coating uniformity. This thesis evaluates the uniformity of DBCs using fluorescence microscopy, scanning electron microscopy (SEM), qualitative analysis, and an image processing algorithm. Uniformity was quantified by three measurements: histogram standard deviation, histogram percentage of coverage, and …
Optimizing Treatment Of Cytomegalovirus,
2023
Utah State University
Optimizing Treatment Of Cytomegalovirus, Alisa Dabb
Student Research Symposium
The current treatment to Cytomegalovirus, ganciclovir, kills neutrophils, a type of cell in the immune system. In an effort to reduce the concentration of ganciclovir, quercetin and poloxamer 188 have been added in treatment in a cellular and mouse model. This treatment has been successful, but can be further optimized by reworking the ratio of quercetin to poloxamer 188 and by adding vitamin c to prevent oxidation.
Murine Hearing Abr/Dpoae Assessments In Cmv-Infected Mouse Pups Receiving Peritoneal Antivirals Of Gcv, Quercetin+P188, Or A Combination. Controls Include Infected And Untreated And Non-Infected And Treated. Second Dataset Of Antiviral Assay In A Murine Stria Vascularis (Sv) Monolayer Cell Culture, David Britt, Albert Park
Browse all Datasets
Ganciclovir (GCV) has been shown to be an effective antiviral for the treatment of congenital cytomegalovirus (cCMV) induced sensorineural hearing loss. However, dose-dependent adverse effects (e.g. neutropenia) require strict, burdensome monitoring, limiting GCV use in some patients. Quercetin is a flavonoid with antioxidant properties that has demonstrated antiviral therapy against CMV. Although more benign than GCV, quercetin has limited therapeutic value due to its poor solubility. We previously reported that GCV improves hearing thresholds in a murine model of cCMV. We also noted that solubilizing quercetin with poloxamer 188 (P188) and combining with GCV therapy amplified CMV inhibition in murine …
Understanding The Role Of A Putative Type I Polyketide Synthase In Chlorflavonin Biosynthesis,
2023
Utah State University
Understanding The Role Of A Putative Type I Polyketide Synthase In Chlorflavonin Biosynthesis, Ammar Mussaji
Student Research Symposium
Flavonoids are an important class of plant secondary metabolites with a variety of biological functions in the development processes of hosts. These molecules have also shown health-benefiting properties such as antioxidant and anti-inflammatory activities. As such, they are commonly used as pharmaceuticals and nutraceuticals. In plants, flavonoids are assembled through a type III polyketide synthase (PKS) and associated tailoring enzymes such as hydroxylase and glycosyltransferase. Some filamentous fungi also produce flavonoids, such as chlorflavonin from Aspergillus candidus. Chlorflavonin is a novel halogenated flavonoid found in nature reported to possess antifungal and anti-tuberculosis activity. Unlike plants, the biosynthetic process of flavonoids …
Glycosylation Of Anti-Tb Agent Chlorflavonin For Combating Mycobacterium Tuberculosis,
2023
Utah State University
Glycosylation Of Anti-Tb Agent Chlorflavonin For Combating Mycobacterium Tuberculosis, Jie Ren
Student Research Symposium
More than two billion people were infected by the bacterial pathogen Mycobacterium tuberculosis (Mtb) in 2020. However, during the past 50 years, the first-line (isoniazid, delamanid, and rifampicin) and second-line (capreomycin, streptomycin, and cycloserine) therapies have remained unchanged with disadvantages such as long treatment periods and severe side effects. The slow development of anti-TB drugs cannot combat the fast development of drug resistant M. tuberculosis strains from multidrug-resistant (MDR) into extensively drug resistant (XDR), which further hinders the World Health Organization’s goal to end the global TB pandemic by the year 2035. Flavonoids are a type of natural product with …
