Novel Stimuli-Responsive Pectin-Pvp-Functionalized Clay Based Smart Hydrogels For Drug Delivery And Controlled Release Application,
2022
University of the Punjab
Novel Stimuli-Responsive Pectin-Pvp-Functionalized Clay Based Smart Hydrogels For Drug Delivery And Controlled Release Application, Shabnam Rehmat, Nayab Batool Rizvi, Saba Urooge Khan, Abdul Ghaffar, Atif Islam, Rafi Ullah Khan, Azra Mehmood, Hira Butt, Muhammad Rizwan
Michigan Tech Publications, Part 1
Stimuli-responsive drug delivery systems are urgently required for injectable site-specific delivery and release of drugs in a controlled manner. For this purpose, we developed novel pH-sensitive, biodegradable, and antimicrobial hydrogels from bio-macromolecule pectin, polyvinylpyrrolidone (PVP), 3-aminopropyl (diethoxy)methyl silane (3-APDEMS), and sepiolite clay via blending and solution casting technique. The purified sepiolite (40 um) was functionalized with 3-APDEMS crosslinker (ex-situ modification) followed by hydrogels fabrication. FTIR and SEM confirmed crosslinked structural integrity and rod-like morphology of hydrogels respectively. The swelling properties of hydrogels could be controlled by varying the concentration of modified clay in pectin/PVP blends. Moreover, the decrease in pH …
Advancing Ubiquitous Collaboration For Telehealth - A Framework To Evaluate Technology-Mediated Collaborative Workflow For Telehealth, Hypertension Exam Workflow Study,
2022
Rochester Institute of Technology
Advancing Ubiquitous Collaboration For Telehealth - A Framework To Evaluate Technology-Mediated Collaborative Workflow For Telehealth, Hypertension Exam Workflow Study, Christopher Bondy Ph.D., Linlin Chen Ph.D, Pamela Grover Md, Pengcheng Shi Ph.D
Articles
Healthcare systems are under siege globally regarding technology adoption; the recent pandemic has only magnified the issues. Providers and patients alike look to new enabling technologies to establish real-time connectivity and capability for a growing range of remote telehealth solutions. The migration to new technology is not as seamless as clinicians and patients would like since the new workflows pose new responsibilities and barriers to adoption across the telehealth ecosystem. Technology-mediated workflows (integrated software and personal medical devices) are increasingly important in patient-centered healthcare; software-intense systems will become integral in prescribed treatment plans [1]. My research explored the path to …
Decellularized Articular Cartilage Microgels As Microcarriers For Expansion Of Mesenchymal Stem Cells,
2022
University of South Carolina
Decellularized Articular Cartilage Microgels As Microcarriers For Expansion Of Mesenchymal Stem Cells, Esmaiel Jabbari, Azadeh Sepahvandi
Faculty Publications
Conventional microcarriers used for expansion of human mesenchymal stem cells (hMSCs) require detachment and separation of the cells from the carrier prior to use in clinical applications for regeneration of articular cartilage, and the carrier can cause undesirable phenotypic changes in the expanded cells. This work describes a novel approach to expand hMSCs on biomimetic carriers based on adult or fetal decellularized bovine articular cartilage that supports tissue regeneration without the need to detach the expanded cells from the carrier. In this approach, the fetal or adult bovine articular cartilage was minced, decellularized, freeze-dried, ground, and sieved to produce articular …
An Ensemble Approach For Patient Prognosis Of Head And Neck Tumor Using Multimodal Data,
2022
Mohamed Bin Zayed University of Artificial Intelligence
An Ensemble Approach For Patient Prognosis Of Head And Neck Tumor Using Multimodal Data, Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, Mohammad Yaqub
Computer Vision Faculty Publications
Accurate prognosis of a tumor can help doctors provide a proper course of treatment and, therefore, save the lives of many. Tradi-tional machine learning algorithms have been eminently useful in crafting prognostic models in the last few decades. Recently, deep learning algorithms have shown significant improvement when developing diag-nosis and prognosis solutions to different healthcare problems. However, most of these solutions rely solely on either imaging or clinical data. Utilizing patient tabular data such as demographics and patient med-ical history alongside imaging data in a multimodal approach to solve a prognosis task has started to gain more interest recently and …
Deep-Precognitive Diagnosis: Preventing Future Pandemics By Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network,
2022
Thapar Institute of Engineering & Technology
Deep-Precognitive Diagnosis: Preventing Future Pandemics By Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, Min Xu
Computer Vision Faculty Publications
Deep learning-based Computer-Aided Diagnosis has gained immense attention in recent years due to its capability to enhance diagnostic performance and elucidate complex clinical tasks. However, conventional supervised deep learning models are incapable of recognizing novel diseases that do not exist in the training dataset. Automated early-stage detection of novel infectious diseases can be vital in controlling their rapid spread. Moreover, the development of a conventional CAD model is only possible after disease outbreaks and datasets become available for training (viz. COVID-19 outbreak). Since novel diseases are unknown and cannot be included in training data, it is challenging to recognize them …
Auto-Ethnographic Reflections: Lessons From Leading A Stem Initiative For Girls In School While We Ourselves Were In School,
2022
Tufts University
Auto-Ethnographic Reflections: Lessons From Leading A Stem Initiative For Girls In School While We Ourselves Were In School, Kayli Heather Battel, Kritin Mandala, Sreyoshi Bhaduri, Natalie Anna Foster, Lilianny Virguez, Lissa Erickson, Krishna Pakala
Mechanical and Biomedical Engineering Faculty Publications and Presentations
In this paper, we use an auto-ethnographic approach to describe first-hand the reflections and learnings from leading an organization to help school children, especially girls, familiarize themselves with STEM and Cyber Security. The primary authors and ethnographers are founders of STEM initiatives for young learners. The primary author is a recent high school graduate who has taken up an engineering field, and two other contributing authors are high-schoolers currently leading these initiatives. With help from the three engineering educators on our authorship team, we use our individual self-narratives to develop a set of recommendations for other young engineering educators across …
Opportunities From Disruption: How Lifelong Learning Helped Create More Connected Classrooms,
2022
Boise State University
Opportunities From Disruption: How Lifelong Learning Helped Create More Connected Classrooms, Krishna Pakala, Sreyoshi Bhaduri
Mechanical and Biomedical Engineering Faculty Publications and Presentations
The coronavirus pandemic has led to instructors worldwide seeking ways to engage students better through virtual platforms. As the world interacts online, more than ever before, this paper reflects on an educator’s experience with the virtual teaching and learning spaces pre and during the ongoing pandemic. Autoethnography is a research methodology that analyzes a phenomenon through the use of self-narratives, which would otherwise remain private or buried. This paper uses an autoethnographic approach to describe first-hand. the experiences and learnings of an educator at a Western US Public University. This paper describes how first as an international student, a first …
Biomechanical Evaluation Of Recurrent Dissociation Of Modular Humeral Prostheses,
2022
Wright State University - Main Campus
Biomechanical Evaluation Of Recurrent Dissociation Of Modular Humeral Prostheses, Daniel B. Luckenbill, Mike F. Iossi, Alyssa M. George Whitney, Danielle Miller, Lynn A. Crosby, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
The purpose of the study was to evaluate the force and torque required to dissociate a humeral head from the unimplanted modular total shoulder replacement system from different manufacturers and to determine if load and torque to dissociation are reduced in the presence of bodily fluids. Impingement, taper contamination, lack of compressive forces, and interference of taper fixation by the proximal humerus have all been reported as possible causes for dissociation. Experimental values determined in this research were compared with literature estimates of dissociation force of the humeral head under various conditions to gain more understanding of the causes of …
The Low Abundance Of Cpg In The Sars-Cov-2 Genome Is Not An Evolutionarily Signature Of Zap,
2022
UNSW Sydney, Australia
The Low Abundance Of Cpg In The Sars-Cov-2 Genome Is Not An Evolutionarily Signature Of Zap, Ali Afrasiabi, Hamid Alinejad-Rokny, Azad Khosh, Mostafa Rahnama, Nigel Lovell, Zhenming Xu, Diako Ebrahimi
Plant Pathology Faculty Publications
The zinc finger antiviral protein (ZAP) is known to restrict viral replication by binding to the CpG rich regions of viral RNA, and subsequently inducing viral RNA degradation. This enzyme has recently been shown to be capable of restricting SARS-CoV-2. These data have led to the hypothesis that the low abundance of CpG in the SARS-CoV-2 genome is due to an evolutionary pressure exerted by the host ZAP. To investigate this hypothesis, we performed a detailed analysis of many coronavirus sequences and ZAP RNA binding preference data. Our analyses showed neither evidence for an evolutionary pressure acting specifically on CpG …
Bladder Tumor In A Young Leukemic Patient Cured By Chemotherapy: A Case Report,
2022
Cadi Ayad University, Marrakech , Morocco
Bladder Tumor In A Young Leukemic Patient Cured By Chemotherapy: A Case Report, Mohamed Tebaa, Mamoutou Dit Mody, Sylla Mahamadou, Mohamed Amine Lakmichi
Health Sciences
Adult bladder tumor is estimated to be the 10th most common tumor worldwide. However, its incidence is much less common in children. It is a disease of the elderly that peaks in the sixth decade of life. Nevertheless, bladder tumors could also affect children, adolescents, and young adults with a prevalence of
Utilizing Nasa-Funded Biotechnology To Improve Resource Management On Earth And In Space,
2022
Utah State University
Utilizing Nasa-Funded Biotechnology To Improve Resource Management On Earth And In Space, Tyler Wallentine
Research on Capitol Hill
USU senior Tyler is a Peak Summer Research Fellow studying biological engineering. Nitrogen, essential in soil fertilizer for crops, is produced traditionally in a way that uses natural gas and produces CO2. Tyler’s project has been to apply methods developed by NASA for astronauts to conserve and reuse resources to create nitrogen using wastewater and bacteria. Using this method would not only take advantage of waste we already have, but doesn’t produce CO2 and contribute to pollution. Tyler hopes to become a chemical engineer in the space industry and credits his undergraduate research experience. “There’s something about having to obtain …
What Drug Candidates Exist For Treating Covid-19 Variants?,
2022
Utah State University
What Drug Candidates Exist For Treating Covid-19 Variants?, Kolton Hauck
Research on Capitol Hill
USU senior Kolton studies biological engineering and led this project with funding from a student grant. Kolton’s project has been mapping out all possible protein interactions from known SARS-CoV-2 variants and identifying possible drug treatments. Viruses function through these interactions between their proteins and the host cell’s proteins, and this project is especially valuable because the candidates identified are predicted to help treat all known variants, making them more likely to be effective against future mutations.Kolton’s interest in biological research stems from his own experience managing a genetic health disorder. Past medical research greatly benefited him, and he sees his …
Can Cannibinoids Be Used To Prevent Lung Damage From Utah Air Pollution?,
2022
Utah State University
Can Cannibinoids Be Used To Prevent Lung Damage From Utah Air Pollution?, Emily Brothersen
Research on Capitol Hill
USU senior Emily, a Mantua native, is an Honors student and Undergraduate Research Fellow. She studies Biological Engineering and has funded and led this project herself with multiple student grants. Emily has been investigating a way to study cell health that can help future researchers test treatments more quickly and affordably. She has used this method to research the potential of cannabinoids to help protect people from lung damage caused by pollution, an issue topical to Utah with our frequent inversions and growing medical cannabis industry. Emily has been involved in research throughout her time at USU and sees it …
Subomiembed: Self-Supervised Representation Learning Of Multi-Omics Data For Cancer Type Classification,
2022
Mohamed Bin Zayed University Of Artificial Intelligence
Subomiembed: Self-Supervised Representation Learning Of Multi-Omics Data For Cancer Type Classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub
Computer Vision Faculty Publications
For personalized medicines, very crucial intrinsic information is present in high dimensional omics data which is difficult to capture due to the large number of molecular features and small number of available samples. Different types of omics data show various aspects of samples. Integration and analysis of multi-omics data give us a broad view of tumours, which can improve clinical decision making. Omics data, mainly DNA methylation and gene expression profiles are usually high dimensional data with a lot of molecular features. In recent years, variational autoencoders (VAE) [13] have been extensively used in embedding image and text data into …
Postural Control Differences Between Patients With Posterior Tibial Tendon Dysfunction And Healthy People During Gait,
2022
Kyung Hee University
Postural Control Differences Between Patients With Posterior Tibial Tendon Dysfunction And Healthy People During Gait, Junsig Wang, L. Daniel Latt, Robert D. Martin, Erin M. Mannen
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Background: Patients with posterior tibial tendon dysfunction (PTTD) may exhibit postural instability during walking likely due to a loss of medial longitudinal arch, abnormal foot alignment, and pain. While many studies have investigated gait alterations in PTTD, there is no understanding of dynamic postural control mechanisms in this population during gait, which will help guide rehabilitation and gait training programs for patients with PTTD. The purpose of the study was to assess dynamic postural control mechanisms in patients with stage II PTTD as compared to age and gender matched healthy controls. Methods: Eleven patients with stage II PTTD (4 males …
Geant4 Simulation For Radioactive Particle Tracking (Rpt) Technique,
2022
Missouri University of Science and Technology
Geant4 Simulation For Radioactive Particle Tracking (Rpt) Technique, Ahmed A. Alghamdi, Thaar M. Aljuwaya, Abdullah S. Alomari, Muthanna H. Al-Dahhan
Chemical and Biochemical Engineering Faculty Research & Creative Works
In the past two decades, the radioactive particle tracking (RPT) measurement technique has been proven to visualize flow fields of most multiphase flow systems of industrial interest. The accuracy of RPT, and hence the data obtained, depend largely on the calibration process, which stands here as a basis for two subsequent processes: tracking and reconstruction. However, limitations in the RPT calibration process can be found in different experimental constrains and in assumptions made in the classical Monte Carlo approach used to simulate number of counts received by the detectors. Therefore, in this work, we applied a GEANT4-based Monte Carlo code …
Flow Regimes In Gas-Solid Fluidized Beds Via Micro-Foil Heat Flux Sensor,
2022
Missouri University of Science and Technology
Flow Regimes In Gas-Solid Fluidized Beds Via Micro-Foil Heat Flux Sensor, Haidar Taofeeq, Sebastián Uribe, Muthanna H. Al-Dahhan
Chemical and Biochemical Engineering Faculty Research & Creative Works
The flow regime transitions in a gas-solid fluidized bed were studied for the first time using a micro-foil heat flux sensor. The time series of heat flux signals was analyzed by statistical and state space methods. The experimental measurements were performed in a lab-scale gas-solid fluidization column. Four different flow regimes, i.e., fixed-bed flow regime, bubbling-flow regime, slugging-flow regime, and turbulent-flow regime, and three intermediate transition velocities, i.e., minimum fluidizing velocity or minimum bubbling velocity, minimum slugging velocity, and minimum turbulent velocity, were successfully identified. The method based on the analysis of heat flux sensor measurements allowed to determine accurately …
A Detailed Hydrodynamic Study Of The Split-Plate Airlift Reactor By Using Non-Invasive Gamma-Ray Techniques,
2022
Missouri University of Science and Technology
A Detailed Hydrodynamic Study Of The Split-Plate Airlift Reactor By Using Non-Invasive Gamma-Ray Techniques, Laith S. Sabri, Abbas J. Sultan, Hasan Shakir Majdi, Shadha K. Jebur, Muthanna H. Al-Dahhan
Chemical and Biochemical Engineering Faculty Research & Creative Works
This study focused on detailed investigations of selected local hydrodynamics in split airlift reactor by using an unconventional measurements facility: computed tomography (CT) and radioactive particle tracking (RPT). The local distribution in a cross-sectional manner with its radial's profiles for gas holdup, liquid velocity flow field, shear stresses, and turbulent kinetic energy were studied under various gas velocity 1, 2 and 3 cm/s with various six axial level z = 12, 20, 40, 60, 90 and 112 cm. The distribution in gas–liquid phases in the whole split reactor column, the riser and downcomer sides, including their behavior at the top …
Tracking The Heavy Metal Contaminants Entrained With The Flow Into A Trickle Bed Hydrotreating Reactor Packed With Different Catalyst Shapes Using Newly Developed Noninvasive Dynamic Radioactive Particle Tracking,
2022
Missouri University of Science and Technology
Tracking The Heavy Metal Contaminants Entrained With The Flow Into A Trickle Bed Hydrotreating Reactor Packed With Different Catalyst Shapes Using Newly Developed Noninvasive Dynamic Radioactive Particle Tracking, Binbin Qi, Omar Farid, Alexandre França Velo, Jihane Mendil, Sebastián Uribe, Yasunobu Kaneko, Kei Sakakura, Yasuhito Kagota, Muthanna H. Al-Dahhan
Chemical and Biochemical Engineering Faculty Research & Creative Works
A newly developed modified Dynamic Radioactive Particle Tracking system (DRPT) was used to investigate the heavy metal contaminants deposition locations in different catalyst beds, sphere, cylinder, trilobe, and quadrilobed in Trickle Bed Reactors. In the present paper, Kernel Density Estimator (KDE) was used to estimate the probability density distributions of heavy metal contaminants depositions in terms of bed radius height. The result shows that the four cases have similar probability density distribution in terms of radius, while the spherical catalyst has the larger distribution range in terms of bed height. The heavy metal deposition is directly related to the pressure …
Representation Learning For Chemical Activity Predictions,
2022
CUNY Graduate Center
Representation Learning For Chemical Activity Predictions, Mohamed S. Ayed
Dissertations, Theses, and Capstone Projects
Computational prediction of a phenotypic response upon the chemical perturbation on a biological system plays an important role in drug discovery and many other applications. Chemical fingerprints derived from chemical structures are a widely used feature to build machine learning models. However, the fingerprints ignore the biological context, thus, they suffer from several problems such as the activity cliff and curse of dimensionality. Fundamentally, the chemical modulation of biological activities is a multi-scale process. It is the genome-wide chemical-target interactions that modulate chemical phenotypic responses. Thus, the genome-scale chemical-target interaction profile will more directly correlate with in vitro and in …
