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Articles 361 - 390 of 39107
Full-Text Articles in Entire DC Network
Determination Of The Kinetic Parameters Of Cholesterol Oxidation Using Cholesterol Oxidase From Streptomyces Sp., Meka Saima Perdani, Heri Hermansyah, Muhamad Sahlan, Dwini Normayulisa Putri, Teguh Pambudi, Anggi Khairina Hanum Hasibuan
Determination Of The Kinetic Parameters Of Cholesterol Oxidation Using Cholesterol Oxidase From Streptomyces Sp., Meka Saima Perdani, Heri Hermansyah, Muhamad Sahlan, Dwini Normayulisa Putri, Teguh Pambudi, Anggi Khairina Hanum Hasibuan
Makara Journal of Technology
Cholesterol oxidase (CO) was successfully produced from Streptomyces sp. via the submerged fermentation method, and 69 U/mL enzyme activity was obtained. This study aimed to determine cholesterol oxidation kinetics and the production of CO as a catalyst. The enzyme was diluted to 0.15, 0.075, and 0.00375 U/mL for the oxidation reaction. The substrate was also prepared in three concentrations: 3.23, 6.46, and 12.93 mM. The optimization of conditions for enzymatic cholesterol oxidation was investigated through measurement of the effect of initial cholesterol and enzyme concentrations. Cholesterol concentration was rapidly measured via high-performance liquid chromatography (HPLC). The kinetics of CO were …
New Graduate Nurses' Experiences Of Burnout As They Transition To Practice, Stacy Beth Elliott
New Graduate Nurses' Experiences Of Burnout As They Transition To Practice, Stacy Beth Elliott
Walden Dissertations and Doctoral Studies
Transitioning from nursing school to professional practice is a critical and challenging period for newly graduated nurses. Transition to professional nursing practice is particularly stressful in the first 3 years as new graduates adapt to the high acuity of patient care, which can result in burnout. The purpose of this qualitative study, guided by the conservation of resource theory, was to understand how new graduate nurses describe their experiences of burnout as novice nurses transition in the first 3 years of nursing practice. Fourteen nurses were interviewed using a semi-structured interviews, and Saldana’s two-cycle analysis was used for data interpretation, …
New Graduate Nurses' Experiences Of Burnout As They Transition To Practice, Stacy Beth Elliott
New Graduate Nurses' Experiences Of Burnout As They Transition To Practice, Stacy Beth Elliott
Walden Dissertations and Doctoral Studies
Transitioning from nursing school to professional practice is a critical and challenging period for newly graduated nurses. Transition to professional nursing practice is particularly stressful in the first 3 years as new graduates adapt to the high acuity of patient care, which can result in burnout. The purpose of this qualitative study, guided by the conservation of resource theory, was to understand how new graduate nurses describe their experiences of burnout as novice nurses transition in the first 3 years of nursing practice. Fourteen nurses were interviewed using a semi-structured interviews, and Saldana’s two-cycle analysis was used for data interpretation, …
Muqarnas In Damascus: A Forgotten Treasure’S History, Inception And Geometry, Nahed Jawad Chakouf
Muqarnas In Damascus: A Forgotten Treasure’S History, Inception And Geometry, Nahed Jawad Chakouf
All Works
The architecture of the Islamic world encompasses both religious and secular buildings that are unified by the use of a common architectural language, which includes architectural elements such as minarets, domes and arches, ornamental details, and vaulting with the use of muqarnas. The study provides a broad overview of the development of Islamic architecture, focusing on Damascus, the early Islamic period, the mid-Islamic period and the late Islamic period. The late Islamic period includes Ottoman art, with architecture influenced by Byzantine, Persian, Armenian, and Mamluk artefacts, but differs from their predecessors. The researcher undertook a geometric analysis of the muqarnas …
Targeted Degradation Of Oncogenic Krasg12v Triggers Antitumor Immunity In Lung Cancer Models, Dezhi Li, Ke Geng, Yuan Hao, Jiajia Gu, Saurav Kumar, Annabel T Olson, Christina C Kuismi, Hye Mi Kim, Yuanwang Pan, Fiona Sherman, Asia M Williams, Yiting Li, Fei Li, Ting Chen, Cassandra Thakurdin, Michela Ranieri, Mary Meynardie, Daniel S Levin, Janaye Stephens, Alison Chafitz, Joy Chen, Mia S Donald-Paladino, Jaylen M Powell, Ze-Yan Zhang, Wei Chen, Magdalena Ploszaj, Han Han, Shengqing Stan Gu, Tinghu Zhang, Baoli Hu, Benjamin A Nacev, Medard Ernest Kaiza, Alice H Berger, Xuerui Wang, Jing Li, Xuejiao Sun, Yang Liu, Xiaoyang Zhang, Tullia C Bruno, Nathanael S Gray, Behnam Nabet, Kwok-Kin Wong, Hua Zhang
Targeted Degradation Of Oncogenic Krasg12v Triggers Antitumor Immunity In Lung Cancer Models, Dezhi Li, Ke Geng, Yuan Hao, Jiajia Gu, Saurav Kumar, Annabel T Olson, Christina C Kuismi, Hye Mi Kim, Yuanwang Pan, Fiona Sherman, Asia M Williams, Yiting Li, Fei Li, Ting Chen, Cassandra Thakurdin, Michela Ranieri, Mary Meynardie, Daniel S Levin, Janaye Stephens, Alison Chafitz, Joy Chen, Mia S Donald-Paladino, Jaylen M Powell, Ze-Yan Zhang, Wei Chen, Magdalena Ploszaj, Han Han, Shengqing Stan Gu, Tinghu Zhang, Baoli Hu, Benjamin A Nacev, Medard Ernest Kaiza, Alice H Berger, Xuerui Wang, Jing Li, Xuejiao Sun, Yang Liu, Xiaoyang Zhang, Tullia C Bruno, Nathanael S Gray, Behnam Nabet, Kwok-Kin Wong, Hua Zhang
Faculty, Staff and Student Publications
Kirsten rat sarcoma viral oncogene homolog (KRAS) is the most frequently mutated oncogene in lung adenocarcinoma, with G12C and G12V being the most predominant forms. Recent breakthroughs in KRASG12C inhibitors have transformed the clinical management of patients with the G12C mutation and advanced our understanding of the function of this mutation. However, little is known about the targeted disruption of KRASG12V, partly due to a lack of specific inhibitors. Here, we leverage the degradation tag (dTAG) system to develop a KRASG12V-transgenic mouse model. We explored the therapeutic potential of KRASG12V degradation and characterized its effect on the tumor microenvironment (TME). …
Providing Enhanced Learning In Llms By Associating Data With Role-Based Source Information, Laxmi Mukund, Shraddha S K
Providing Enhanced Learning In Llms By Associating Data With Role-Based Source Information, Laxmi Mukund, Shraddha S K
Defensive Publications Series
In today's fast-paced world, the rapid introduction of new product features necessitates accurate and timely documentation. Traditional manual documentation methods are inefficient, error-prone, and often result in outdated information. Techniques are presented herein to address these challenges by leveraging Large Language Models (LLMs) to automate the generation of precise and reliable documents by associating data with well-defined role-based source information. The impact of this solution goes beyond generating documentation for new features; it can also be extended to enable targeted stakeholder interactions, to identify speakers in recorded conversations, and to classify unclassified dialogues.
The Anxious Generation, How The Great Rewiring Of Childhood Is Causing Epidemic Of Mental Illness, Jay Nathan
The Anxious Generation, How The Great Rewiring Of Childhood Is Causing Epidemic Of Mental Illness, Jay Nathan
Journal of Global Awareness
No abstract provided.
Nappy, Loc’D Or Straight, It Still Gets Hate: A Collaborative Autoethnography Examining Black Hair In K-12 Education And Beyond, Maiya Turner, Janae Alexander-Bady, Virginia Redwine Johnson, Salandra Grice, Tyra Montour
Nappy, Loc’D Or Straight, It Still Gets Hate: A Collaborative Autoethnography Examining Black Hair In K-12 Education And Beyond, Maiya Turner, Janae Alexander-Bady, Virginia Redwine Johnson, Salandra Grice, Tyra Montour
Journal of Multicultural Affairs
The purpose of this study is to examine the impact that Black hair discrimination has on Black girls in K-12 educational settings. Black hair has long been tied to Black girls and women’s cultural identities. However, Black girls often fall victim to discrimination based on their hair texture and style, which can often impact their relationship with their hair through adulthood. Utilizing collaborative autoethnography, we provide our hair experiences during our K-12 educational experiences and how this has impacted our current relationships with our hair. Additionally, within the findings, we identify three themes common among our experiences: dress codes as …
Damn The Dams: Framing ‘Schizophrenic’ Discourses Of The Hindu Right, Nandita Ghosh
Damn The Dams: Framing ‘Schizophrenic’ Discourses Of The Hindu Right, Nandita Ghosh
Critical Humanities
This article examines the concept of schizophrenia as a cultural metaphor in order to analyze the Hindu Right’s contradictory language-framing politics within the public domain, particularly in relation to building mega dams on rivers Narmada and Bhagirathi. In so doing, it intends to examine the nature of the public domain itself that enables such framing politics within the context of late 20th-early-21st-century global capital. Language battles in the public domain have intensified during this period, especially through various forms of digital media. In India, the various groups that form the Hindu Right have often mixed the …
Functionalism, Algorithms And The Pursuit Of A Theory Of Mind For Artificial Intelligence, Victor Mureithi
Functionalism, Algorithms And The Pursuit Of A Theory Of Mind For Artificial Intelligence, Victor Mureithi
Critical Humanities
Abstract.
The advancement of computing technology has given rise to an interesting thesis: the human brain can be studied and understood as operating on the principles of a digital computer. The claim later became a more substantial thesis: the Mind is a computer since the Mind is actualized in the brain. The recent success of large language models (LLMs) such as Bard (produced by Google), GPT3, ChatGPT (also known as GPT3.5, produced by OpenAI-Microsoft), and LLaMA (produced byMeta) has brought greater attention and focus to the discussion of human versus machine intelligence. The result has been a pursuit of a …
Design Method For Power Efficiency Optimization Of Zonal Illuminated Projector, Ted Cym
Design Method For Power Efficiency Optimization Of Zonal Illuminated Projector, Ted Cym
Defensive Publications Series
A method is provided for optimizing a power efficiency of an illuminator including a plurality of illumination zones that are individually addressable for providing a zonal illumination at a non-emissive display panel. The method includes calculating a plurality of illumination powers of the illuminator for a plurality of zone layouts of the illuminator, each zone layout including a number of the zones included in the illuminator, a size of the illuminator, and a color sub-zone configuration for each of the plurality of illumination zones. The method also includes selecting a zone layout with a lowest illumination power of the illuminator.
Design Method For Power Efficiency Optimization Of Zonal Illuminated Projector
Design Method For Power Efficiency Optimization Of Zonal Illuminated Projector
Defensive Publications Series
A method is provided for optimizing a power efficiency of an illuminator including a plurality of illumination zones that are individually addressable for providing a zonal illumination at a non-emissive display panel. The method includes calculating a plurality of illumination powers of the illuminator for a plurality of zone layouts of the illuminator, each zone layout including a number of the zones included in the illuminator, a size of the illuminator, and a color sub-zone configuration for each of the plurality of illumination zones. The method also includes selecting a zone layout with a lowest illumination power of the illuminator.
System And Method To Authorize A Payment Transaction Using A Digital Glove, Sri Sai Krishna Kiran Atmuri
System And Method To Authorize A Payment Transaction Using A Digital Glove, Sri Sai Krishna Kiran Atmuri
Defensive Publications Series
The present disclosure relates to a system and method to authorize a payment transaction using a digital glove. The present disclosure suggests tapping a cardholder’s digital glove on a merchant payment system without entering a Personal Identification Number (PIN) to initiate a payment transaction. The merchant payment system transmits the payment transaction data to an issuer system through a network via an acquirer server for authorization. Upon notification, the cardholder enters the PIN by performing a sequence of pinches between a thumb finger distal phalange and the other finger phalanges of the digital glove. Thereafter, encrypt the chronological order of …
Exploring Blockchain Technology: Applications And Insights Across Multiple Fields, Zarella Valentina Burbano Vallejo, Edgar Dario Obando Paredes
Exploring Blockchain Technology: Applications And Insights Across Multiple Fields, Zarella Valentina Burbano Vallejo, Edgar Dario Obando Paredes
AUIQ Technical Engineering Science
Blockchain is a digital recording technology where each block contains encrypted data linked to previous blocks, forming an immutable and transparent sequence. This review systematically analyzes the applications and evolution of blockchain technology across multiple sectors from 2021–2023. peer-reviewed articles focused on key areas such as finance, healthcare, energy, and supply chain management. The findings highlight blockchain's transformative potential, including its ability to enhance security through encryption and decentralization, improve trust and data integrity, and eliminate intermediaries, enabling faster transactions and cost reduction. However, challenges such as scalability issues, high energy consumption in cryptocurrency mining, privacy concerns due to the …
Butte Priority Soils Operable Unit Sbcca Principles For A Greener Cleanup Report, Josh Bryson
Butte Priority Soils Operable Unit Sbcca Principles For A Greener Cleanup Report, Josh Bryson
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
A Statewide Geographic Information System (Gis) As A Predictive Tool For Locating Deeply Buried Archeological Deposits In Nebraska: Phase Iii-The Sandhills Region, Anthony L. Layzell, Rolfe D. Mandel, John Swigart, David T. Williams
A Statewide Geographic Information System (Gis) As A Predictive Tool For Locating Deeply Buried Archeological Deposits In Nebraska: Phase Iii-The Sandhills Region, Anthony L. Layzell, Rolfe D. Mandel, John Swigart, David T. Williams
Nebraska Department of Transportation: Research Reports
This project developed a GIS to assist with the identification of deeply buried cultural deposits in alluvial settings across the Sandhills region of Nebraska. Soil survey data, previous geoarchaeological investigations, landform position, and other information was used to rank the potential of any stream valley setting as low, low-moderate, moderate-high, or high potential to contain buried cultural deposits. While the presence of buried soils does not necessarily translate to presence of buried archeological sites, the potential for such sites is far greater in buried soils. The GIS can be used by NDOT and other agencies with statutory historic preservation obligations, …
Editorial: Infrastructure Maintenance And Monitoring For Sustainable Cities, Yonas Kassa, Saeed Eftekhar Azam, Deepak Khazanchi, Brian Ricks
Editorial: Infrastructure Maintenance And Monitoring For Sustainable Cities, Yonas Kassa, Saeed Eftekhar Azam, Deepak Khazanchi, Brian Ricks
Faculty Publications
As cities continue to grow and evolve, maintaining and monitoring their infrastructure becomes an 2 increasingly challenging problem, requiring multidisciplinary approaches. This problem is as critical for 3 developing countries that are rapidly building their infrastructure (Gurara et al., 2018Ede et al., 2019) 4 as it is for already developed countries with aging infrastructure (Van Breugel, 2017). Researchers have 14 Such developments can also be integrated into digital twinning-a technology approach that creates 15 virtual replicas of physical infrastructure elements, systems, and cities-that offers a dynamic framework 16 for real-time monitoring and predictive maintenance through data integration and simulation. The …
Enhancing Data-Driven Decisions By Improving Nonprofit Transparency And Collaboration: A Study Of The Accessibility Of Nonprofit Data In The Global Landscape, Angie Holzer, Beverli Dewalt, Louis Ye
Enhancing Data-Driven Decisions By Improving Nonprofit Transparency And Collaboration: A Study Of The Accessibility Of Nonprofit Data In The Global Landscape, Angie Holzer, Beverli Dewalt, Louis Ye
Journal of Nonprofit Innovation
This paper addresses the pressing need for enhanced transparency of nonprofit data to improve nonprofit collaboration, emphasizing the development of a global nonprofit database. Globally, there is a lack of transparency and accessibility to nonprofit data, which reduces the ability to make better decisions 1) between nonprofits as they work to collaborate and improve outcomes, 2) with nonprofit resource providers (foundations, volunteers, donors, company CSR programs, governments, grantees, etc.) when making decisions about who to support, and 3) with nonprofits as they attempt to reach those who need their services. By analyzing 34 nonprofit databases from the European Union, the …
“A Disturbing Portent Of Future Harm”? Attacks On Cultural Heritage, Atrocity Crimes, And The Problem Of Prevention, Matthew S. Weinert
“A Disturbing Portent Of Future Harm”? Attacks On Cultural Heritage, Atrocity Crimes, And The Problem Of Prevention, Matthew S. Weinert
Genocide Studies and Prevention: An International Journal
Preventing atrocities has garnered significant scholarly and practitioner attention. In 2014, the UN Office of Genocide Prevention issued a Framework of Analysis of Atrocity Crimes listing 14 risk factors and 143 indicators to support risk analysis and early action. Cognizant that conflicts regularly include deliberate attacks on cultural heritage, the Framework identifies fourteen indicators that pertain to culture and cultural heritage. Five years after the Framework’s release, Simon Adams decried the international community’s ineffectiveness at translating early warning into practical action with respect to cultural heritage. Instead of focusing on lack of political will or obstructionism—an obstructionism that led to …
Evaluation Of Impact Energy In Composites Using Acoustic Emission Sensing Technique, Li Ai, Tanner Mesaric, Sydney Flowers, Sydney Houck, Joshua Widawsky, Paul Ziehl
Evaluation Of Impact Energy In Composites Using Acoustic Emission Sensing Technique, Li Ai, Tanner Mesaric, Sydney Flowers, Sydney Houck, Joshua Widawsky, Paul Ziehl
Faculty Publications
A major challenge faced by composite materials is impact, which can result in unexpected damage and degradation. Impact events can cause significant structural damage that may not be immediately visible, leading to a reduction in the material’s mechanical properties and overall performance. This paper presents an impact assessment method using acoustic emission (AE) sensing technology. The primary goal of this approach is to determine the extent of impact damage on composite components by analyzing AE signals produced under operating stress conditions. An advanced algorithm is proposed to predict the probability that the damage falls into various damage categories, providing a …
Optimizing Transport Predictive Modeling With Simulation-Based Statistical Inference Authors, Mamunur Rashid, Quyen Tran
Optimizing Transport Predictive Modeling With Simulation-Based Statistical Inference Authors, Mamunur Rashid, Quyen Tran
Mathematics Faculty Publications
Simulation-based statistical inference (SBI) leverages computer simulations to help scientists understand and analyze complex data. This paper explores how SBI techniques can be used to analyze transportation data. We use modern computational methods, including machine learning models, to improve the accuracy of predictions and decision-making in transportation planning. Our study focuses on two SBI methods, Approximate Bayesian Computation - Markov Chain Monte Carlo and Synthetic Likelihood, to create synthetic data for training machine learning models. These models show the potential of SBI to handle uncertain transportation data. It also highlights the practical benefits of SBI in making better decisions for …
Physics-Informed Heterogeneous Spatiotemporal Graph Neural Network For Reservoir Simulation, Ahmed A.M.A. Abdullah
Physics-Informed Heterogeneous Spatiotemporal Graph Neural Network For Reservoir Simulation, Ahmed A.M.A. Abdullah
LSU Master's Theses
Reservoir simulation is the state-of-the-art method for predicting the flow of petroleum reservoir fluids in porous media. It provides an accurate and unbiased prediction of the performance of petroleum reservoirs under different operating conditions. Despite its advantages, reservoir simulation is computationally expensive; with typical full-field simulation models running for several hours. This limitation is worsened when simulating reservoirs with several equations for each cell, such as multiphysics or compositional reservoir simulation. The goal of this research is to provide a fast and accurate spatiotemporal machine-learning model that incorporates discretized governing mass balance equations for training. To achieve this, we propose …
If Only Justice Could Heal Or Make Whole: Hard Lessons From Rwanda’S Legal Responses To Genocide And Mass Atrocity, Gerald Gahima
If Only Justice Could Heal Or Make Whole: Hard Lessons From Rwanda’S Legal Responses To Genocide And Mass Atrocity, Gerald Gahima
Genocide Studies and Prevention: An International Journal
My reflections on the limits of legal responses in Rwanda stem from both academic and lived experience. I served as Rwanda’s Deputy Minister of Justice (1996–1999), Prosecutor General (1999–2003), and Deputy Chief Justice (2003–2004) during the period after the genocide. In those roles, I had access to a large volume of information drawn from policy- making roles, case files of members of my staff, as well as my own fieldwork relating to the suffering of victims of the genocide. While I obviously believe that justice for those crimes is not in vain, my work with survivors left me with an …
Reconstructing Superoscillations Buried Deeply In Noise, Derek D. White, Shunxing Zhang, Barbara Šoda, Achim Kempf, Daniele C. Struppa, Andrew N. Jordan, John C. Howell
Reconstructing Superoscillations Buried Deeply In Noise, Derek D. White, Shunxing Zhang, Barbara Šoda, Achim Kempf, Daniele C. Struppa, Andrew N. Jordan, John C. Howell
Mathematics, Physics, and Computer Science Faculty Articles and Research
We utilize a method using frequency combs to construct waves that feature superoscillations—local regions of the wave that exhibit a change in phase that the bandlimits of the wave should not otherwise allow. This method has been shown to create superoscillating regions that mimic any analytic function—even ones well outside the bandlimits—to an arbitrary degree of accuracy. We experimentally demonstrate that these waves are extremely robust against noise, allowing for accurate reconstruction of a superoscillating target function thoroughly buried in noise. We additionally show that such a construction can be easily used to range-resolve a signal well below the commonly …
Narrative Engineering: Tools, Computational Structure, And Impact Of Stories, Michael A. Debuse
Narrative Engineering: Tools, Computational Structure, And Impact Of Stories, Michael A. Debuse
Theses and Dissertations
Computational Linguistics has a long history of applying mathematics to the grammatical and syntactic structure of language; however, applying math to the more complex aspects of language, such as narrative, plot, scenes, character relations, causation, etc. remains a difficult topic. The goal of my research is to bridge the narrative humanities with mathematics, to computationally grasp at these difficult topic, and help develop the field of Narrative Engineering. I view narrative and story with the same mathematical scrutiny as other engineering fields, to take the creativity and fluidity of story and encode it in mathematical representations that have meaning beyond …
Feasibility Of Lh2 Magnetic Positive Positioning To Minimize Spacecraft Propellant Tank Heat Leak, Emma Kate Hughes
Feasibility Of Lh2 Magnetic Positive Positioning To Minimize Spacecraft Propellant Tank Heat Leak, Emma Kate Hughes
Electronic Theses and Dissertations Archive
Previous studies have determined that a magnetically susceptible fluid can be influenced by a magnetic field of sufficient strength in low gravity conditions. The use of magnetic positive positioning to manipulate magnetically susceptible fluids has potential uses in both specifying location and reducing the thermal heat leak as a means of effective positive positioning. A computational simulation is used to model the phase separation in cryogenic propellant tanks as in previous studies, while an analytic model is created to represent the magnetic field of a real permanent magnet. Previous studies have focused on the cryogenic propellant, liquid oxygen, which is …
For A Better Tomorrow Partners With Iwu To Host Second Steam Olympics Competition, Jeffery Woodard
For A Better Tomorrow Partners With Iwu To Host Second Steam Olympics Competition, Jeffery Woodard
News and Events (Discontinued Series)
No abstract provided.
Editorial: Artificial Intelligence For Smart Health: Learning, Simulation, And Optimization, Bing Yao, Nathan Gaw, Hyo Kyung Lee
Editorial: Artificial Intelligence For Smart Health: Learning, Simulation, And Optimization, Bing Yao, Nathan Gaw, Hyo Kyung Lee
Faculty Publications
With rapid developments in medical sensing and imaging, we now live in an era of data explosion in which large amounts of data are readily available in clinical environments. The fast-growing biomedical and healthcare data provide unprecedented opportunities for data-driven scientific knowledge discovery and clinical decision support. Our Research Topic aims to catalyze synergies among biomedical informatics, machine learning, computer simulation, operations research, systems engineering, and other related fields with three specific goals: (1) develop cutting-edge data-driven models to accelerate scientific knowledge discovery in biomedicine using healthcare data collected from laboratory systems, imaging systems, and medical and sensing devices; (2) …
Investigating The Role Of The I-Ii Linker In Nav1.5, Emily Wagner
Investigating The Role Of The I-Ii Linker In Nav1.5, Emily Wagner
McKelvey School of Engineering Graduate Student Theses & Dissertations
The cardiac voltage-gated sodium channel, Nav1.5 is essential for initiating the cardiac action potential. Its dysfunction can lead to dangerous arrhythmias, sudden cardiac arrest, and death. Like many channels, its known properties depend heavily on its structure. The functional core of the alpha subunit consists of four homologous repeats (I, II, III, and IV), each formed from a voltage sensing domain and a pore domain. The channel also contains two cytoplasmic termini and three cytoplasmic linkers (I-II, II-III, and III-IV). While most of the channel has been resolved in multiple structures, the I-II and II-III linkers have remained conspicuously absent …
Quantitative Approaches To Unravel The Mechanobiology Of Cortical Folding, Ramin Balouchzadeh
Quantitative Approaches To Unravel The Mechanobiology Of Cortical Folding, Ramin Balouchzadeh
McKelvey School of Engineering Graduate Student Theses & Dissertations
Quantitative Approaches to Unravel the Mechanobiology of Cortical Folding by Ramin Balouchzadeh Doctor of Philosophy in Mechanical Engineering Washington University in St. Louis, 2024 Professor Philip V. Bayly, Chair Professor Kara E. Garcia, Co-Chair Brain development is a highly complex process driven by mechanical forces and material properties that shape the cerebral cortex’s characteristic gyri and sulci. Abnormalities in this folding pro?cess are associated with neurodevelopmental disorders such as autism and schizophrenia. Despite significant advancements, the underlying mechanical principles governing brain morphogenesis remain incompletely understood. This body of work investigates three key aspects of brain de?velopment: stress-dependent growth, evolving tissue …