Engineering Commons^™

Investigating The Impact Of Cutting Parameters On Roundness And Circular Runout Using Signal-To-Noise Ratio Analysis, Enas Abdel-Fattah Taha, Mona. A. Aboueleaz, Ossama Badie Abouelatta, Fatma Abdallah Elerian

Mansoura Engineering Journal

Geometric dimensioning and tolerancing (GD&T) principles are crucial for achieving accuracy in machining. It is important to try to avoid possible errors when manufacturing the product, such as errors resulting from the machining process. In this paper, the effect of some cutting factors will be studied during the machining parameters (feed, speed, and depth of cut) on free-cutting steel samples that are widely used in the industry by exploring their effects on the roundness, and circular runout errors. The experiments were designed using the standard fractional factorial design L27 orthogonal array Taguchi method. Statistical methods are applied to find which …

Pedestrianization Al- Azhar Street As A Method To Preserve The Urban Fabric Of The Historic Cairo, Ahmed Mohammed Emam Hammad

Mansoura Engineering Journal

The public urban open space is the container that contain human activities, expressing their vitality and distinctive identity. It facilitates various functions, such as providing accessibility to buildings, natural lighting, ventilation, and creating an urban environment (social, urban, and economic). Therefore, it is considered one of the most important components of the urban fabric of any region. Its importance and value increase in heritage and historical areas, where it is regarded as a tangible heritage no less significant than the valuable buildings found in those areas.

Hence, it should receive popular and official attention over time, and its character and …

Acknowledgment Note

Mansoura Engineering Journal

No Abstract

Predicting The Role Of Connectivity In The Development Of Border Regions In Egypt, Shimaa Mohammed Hamdy Derbala

Mansoura Engineering Journal

The research analyzed the current situation of the development of 12 existing roads in the development plan 2052 and linked to the Governors of (Matrouh, North Sinai, South Sinai, New Valley, and Red Sea), and by reviewing previous studies, it showed the link between road development and the demographic and social factors of the population. The methodology for studying various cases and the methodology for predicting development models are the most appropriate for the field of research. This research examines the goals and challenges of road development with global experience that can be applied to development plans. The research is …

Estimation Of Origin-Destination Matrix Using Open-Source Applications Based On Traffic Counts For Mansoura City In Egypt, Ahmed N. Awaad, Sherif M. El-Badawy, Elsayed Abd-Elazem Shwaly, Usama Elrawy Shahdah

Mansoura Engineering Journal

Origin-destination matrices (ODMs) are essential to transportation planning but estimating them can be difficult and expensive. This study presents a framework for estimating ODMs using traffic flow counts using open-source tools. The framework was applied to a dataset from the city of Mansoura in Egypt. The Flowrouter algorithm, which is part of the SUMO microscopic traffic simulation model, was used for routing traffic between traffic flow counting locations. Additionally, the “Implausible Routes” algorithm was used to eliminate unrealistic routes from the generated solution. The results show that the ODM obtained is a reasonable representation of the demand between the different …

Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf

Mansoura Engineering Journal

It had been noticed that 3-phase and 4-phase computed tomography protocols with contrast serve as standard examinations for diagnosing liver tumors. Additionally, many patients require periodic follow-up, which entails significant radiation exposure for them. Advancements in image processing facilitate automated liver lesion segmentation. However, the challenge remains in classifying these small lesions by doctors, especially when the liver has different types of lesions with very little intensity difference. Therefore, deep learning can be utilized for the classification of liver lesions. The present work introduces a CNN-based module for the classification of liver lesions. The module consists of four stages: data …

An Enhanced Lane Detection Technique Based On Active Learning, Ahmed M. Radwan, Amira Y. Haikal, Hisham E. Gad, Mohamed M. Abdelsalam

Mansoura Engineering Journal

The lane detecting algorithm plays a major role in advanced driver assistance systems (ADAS) and autonomous driving systems. In recent years, deep learning-based lane detection techniques have shown encouraging results; nonetheless, the quality and size of the training data set has a significant impact on how effective these techniques are. Active learning is a technique that can improve the capacity of deep learning-based lane identification systems to repeatedly choose and classify valuable samples from a large body of unlabeled data. In this research, a novel 1-dimensional deep learning approach is used to present an augmented Active Learning based Lane Detection …

An Innovative Covid-19 Patient Recognition Framework, Shereen H. Ali

Mansoura Engineering Journal

A virus called COVID-19 has caused devastation throughout the world and is still putting people's lives in jeopardy. It is important to identify COVID-19 patients as soon as possible so that they can be treated and kept from spreading. A new framework for recognizing COVID-19-infected individuals would be provided in this study. The patient’s recognition framework (PRF) is a term used to describe a method for detecting patients. The PRF consists of three stages, which are: the pre-processing stage (P2S), the feature selection stage (FS2), and the classification stage (CS). The P2S extracts a collection of features from CT chest …

Retrofitting The Building Materials And Techniques Of A Residential Villa: Finding Alternative Solutions, Ahmed Abdelmonteleb M. Ali, Essam S. Almahmoud, Azzam I. Aljutayli, Basem O. Elgendy, Meshal A. Alhrabi, Khattab I. Alyahya

Mansoura Engineering Journal

Approximately 40% of greenhouse gas emissions globally are attributed to the construction industry, with building materials alone accounting for 11%. This study evaluated several building materials and techniques to investigate alternative possibilities for retrofitting a residential villa. The research methodology thoroughly evaluated the building materials and techniques employed in a Saudi villa as a case study located in Buraidah within the Al-Qassim Region. This examination included the structural integrity and cost comparison between the current and suggested scenarios. Alternative building materials and methods are discovered, and their possible application in retrofitting the villa is examined based on this evaluation. The …

Ecological Toxicology Impact From Soap Manufacture: Applications Of Carbon Footprint For Organization And Carbon Footprint Of Product, Tanaporn Chanaphirak

Chulalongkorn University Theses and Dissertations (Chula ETD)

The assessment of greenhouse gases to identify ways to reduce global warming was of enormous importance worldwide. This study assessed the carbon footprint of an organization and the carbon footprint of products within the herbal soap manufacturing industry, following the guidelines of the Thailand Greenhouse Gas Management Organization (TGO). It also evaluated the environmental toxicity of soap production. The study found that the organization’s carbon footprint amounted to 551 tCO2 equivalent, with Scope 3 emissions being the highest at 359 tCO2 equivalent, followed by Category 1 products and services, which accounted for 208 tCO2 equivalent. Scope 1 emissions were 176 …

Improving Question Answering Retrieval System Through Multi-Result Ranking Model, Danupat Khamnuansin

Chulalongkorn University Theses and Dissertations (Chula ETD)

Recent trends in various industries involve integrating artificial intelligence (AI) systems to enhance operational efficiency. Among these advancements, AI-supported question-answering (QA) systems have gained significant attention. These systems typically employ a two-stage process, integrating QA system capabilities with Information Retrieval (IR) methods. The introduction of the Retrieval Question Answering (ReQA) has further refined this process, offering a more practical solution, aiming to improve real-world applicability. Considering the wide availability of diverse QA retrieval models, employing a combination of multiple systems presents as a viable solution. However, the approach to combining QA retrieval systems remains relatively limited. We propose a method …

Exploring The Enablers And Barriers Of Stakeholder's Collaboration Of Maas Platform: A Case Study Of Bangkok, Sirawit Chinvanichai

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research investigates the implementation of Mobility as a Service (MaaS) to address fragmented transport services in Bangkok, focusing on identifying enablers, barriers, and concerns for MaaS adoption while quantifying evaluation criteria to determine the most suitable MaaS model. A mixed-methods approach was employed, beginning with a literature review to identify initial enablers and barriers, which were refined through expert meetings. Semi-structured interviews with 14 experts provided deeper insights into Bangkok’s transport context and potential MaaS models, while an AHP survey involving 12 experts quantified and prioritized the evaluation criteria. The findings highlight the roles and responsibilities of MaaS application …

Optimization Of Energy From Building Integrated Photovoltaic Of High-Rise Buildings In Thailand, Min Khant

Chulalongkorn University Theses and Dissertations (Chula ETD)

This project is to find the method to optimize the energy from Building Integrated Photovoltaic System in high rise building. Firstly, the solar irradiance potential of vertical surfaces of high-rise building is analyzed in Bangkok, Thailand. With these irradiance values, the optimal size and placement of BIPV module on east, west and south façades of the building is analyzed in order to minimize the building energy usage from the electricity grid. The BIPV system is optimized using the Genetic Algorithm Optimization method in MATLAB. The output results include the optimal surface area used by BIPV module in east, west and …

Pit Design And Mine Planning Of Nong Wa Sub-Basin, Sin Pun Coal Deposit, Southern Thailand, Gbenga Timilehin Adewumi

Chulalongkorn University Theses and Dissertations (Chula ETD)

Nong Wa is a sub-basin located within the Sin Pun coal deposit, which has no history of mining activities. This study focused on the planning and design of the sub-basin pit, potentially paving the way for future mining operations in the region. The objective of the research was to evaluate the economic viability of coal extraction and to develop an optimized pit to maximize resource recovery. To achieve this objective, a coal seam model of the deposit was created using advanced modeling software such as AutoCAD and MineSight. The seam model was used to design the ultimate pit, pushback, and …

การวิเคราะห์หาเวลาหยุดที่เหมาะสมของหุ้นกู้แปลงสภาพได้ในโครงสร้างพื้นฐานร่วมลงทุนระหว่างรัฐและเอกชน โดยใช้คอปูลา, สหัสวรรษ พาคำ

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในอนาคตประเทศไทยจะมีโครงการร่วมลงทุนระหว่างรัฐและเอกชน (Public Private Partnership หรือ PPP) เกิดขึ้นในต่างจังหวัดเพิ่มมากขึ้น ทำให้นำมาซึ่งความเสี่ยงหลายด้าน เช่น ความเสี่ยงด้านจำนวนผู้ใช้บริการ ความเสี่ยงด้านรายได้จากการจัดเก็บค่าธรรมเนียม และความเสี่ยงด้านเงินกู้ เป็นต้น ส่งผลให้ภาคเอกชนขาดความมั่นใจเข้าร่วมลงทุนในโครงการ PPP ในต่างจังหวัด เพื่อแก้ปัญหาดังกล่าวภาครัฐต้องให้การสนับสนุนทางการเงินในโครงการ PPP ดังนั้น งานวิจัยนี้จึงมีจุดประสงค์เพื่อศึกษาการใช้เงินทุนชั้นลอยด้วยการใช้หุ้นกู้แปลงสภาพ (Convertible debenture) เป็นหุ้นกู้ที่ให้สิทธิหน่วยงานรัฐเป็นผู้ถือหุ้นในโครงสร้างเงินทุน ซึ่งเป็นรูปแบบการสนับสนุนทางการเงินใหม่ในโครงการ PPP และศึกษาสัดส่วนโครงสร้างเงินทุนที่เหมาะสม โดยเสนอการพัฒนาตัวแบบทางคณิตศาสตร์เพื่อวิเคราะห์หาเวลาหยุดที่เหมาะสมสำหรับการแปลงหนี้ให้เป็นทุน ทั้งการวิเคราะห์แบบ Deterministic และ Stochastic ภายใต้สถานการณ์ความไม่แน่นอนของตัวแปรเสี่ยงหลายตัว โดยใช้คอปูลา (Copula) วิเคราะห์ตัวแปรเสี่ยงที่มีความสัมพันธ์กัน ซึ่งจะช่วยเป็นการกำหนดตัวแปรสำคัญในตัวแบบทางคณิตศาสตร์ และนำตัวแบบทางคณิตศาสตร์ไปประยุกต์ใช้กับโครงการตัวอย่างจริง คือ โครงการทางพิเศษสายเมืองใหม่-เกาะแก้ว-กะทู้ จังหวัดภูเก็ต โดยเสนอเป็นทางเลือกให้กับหน่วยงานรัฐนำหุ้นกู้แปลงสภาพไปประยุกต์ใช้กับโครงการ PPP เพื่อวิเคราะห์เปรียบเทียบรูปแบบการสนับสนุนและโครงสร้างเงินทุนที่เหมาะสมสามกรณี ผลลัพธ์ที่ได้ คือ กรณีที่สามหน่วยงานรัฐให้การสนับสนุนเงินทุนชั้นลอยด้วยรูปแบบหุ้นกู้แปลงสภาพและให้เงินสนับสนุนทางตรงในโครงการ PPP ทำให้มีความคุ้มค่าทางการเงินของโครงการสูงสุด และสามารถวิเคราะห์หาเวลาหยุดที่เหมาะสมที่เกิดขึ้นในระยะเวลาดำเนินการของระยะสัมปทานโครงการได้

การออกแบบและพัฒนาระบบการจัดการความรู้สำหรับการพัฒนาซอฟต์แวร์แบบสกรัมตามมาตรฐาน Iso/Iec 12207, กีรติกา ห่อเกียรติ

Chulalongkorn University Theses and Dissertations (Chula ETD)

โครงงานมหาบัณฑิตนี้มีวัตถุประสงค์ในการปรับปรุงกระบวนการจัดการความรู้ของหน่วยงานแห่งหนึ่งให้สอดคล้องกับมาตรฐานไอเอสโอ/ไออีซี 12207 กระบวนการจัดการความรู้นี้นำเสนอสำหรับโครงการที่ใช้ระเบียบวิธีแบบเอจายล์ตามกรอบงานสกรัม พร้อมทั้งได้ออกแบบและพัฒนาระบบการจัดการความรู้ เพื่อสนับสนุนการประยุกต์ใช้กระบวนการจัดการความรู้ภายในองค์กร ระบบที่พัฒนาสามารถให้บริการในการจัดเก็บ ค้นหา และแบ่งปันความรู้จากโครงการต่าง ๆ ขององค์กร อีกทั้งสนับสนุนให้มีการแบ่งปันความรู้เพื่อให้มีการพัฒนาซอฟต์แวร์ที่ความสอดคล้องตามความต้องการของผู้ใช้ และช่วยเพิ่มสมรรถนะในการทำงานของทีมพัฒนาซอฟต์แวร์ การดำเนินงานเริ่มจากการศึกษาแนวคิดและมาตรฐานที่เกี่ยวข้องกับการจัดการความรู้ รวมถึงการวิเคราะห์มาตรฐาน ไอเอสโอ/ไออีซี 12207 เพื่อประเมินและปรับปรุงกระบวนการจัดการความรู้ในปัจจุบันของ 2 กิจกรรม ได้แก่ “กิจกรรมที่ 3) การแบ่งปันสินทรัพย์ความรู้ทั่วทั้งองค์กร” และ “กิจกรรมที่ 4) การจัดการความรู้ ทักษะ และสินทรัพย์ความรู้” ในการปรับปรุงกระบวนการนั้นได้นำเสนอ โครงสร้างพื้นฐานกระบวนการ และการนิยามกระบวนการที่ปรับปรุง จากนั้นได้ทำการพัฒนาระบบการจัดการความรู้ ที่สามารถรองรับกระบวนการจัดการความรู้ที่ปรับปรุงแล้ว รวมถึงทวนสอบระบบกับความต้องการเชิงฟังก์ชัน และเพื่อยืนยันว่าระบบสามารถสนับสนุนกระบวนการทำงานของทีมสกรัมตามการนิยามกระบวนการได้อย่างมีประสิทธิภาพ ผลลัพธ์ของโครงงานนี้แสดงว่า ได้ช่วยเพิ่มประสิทธิภาพในการจัดการความรู้ภายในองค์กรตัวอย่าง และสามารถใช้เป็นแนวทางสำหรับองค์กรอื่น ๆ ที่ต้องการปรับปรุงกระบวนการจัดการความรู้ในบริบทของการพัฒนาซอฟต์แวร์แบบสกรัม

A Comprehensive Comparative Analysis Of Thailand’S Food Security Policies Against The Committee On World Food Security Frameworks, Noppamart Kamsaen

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study aims to conduct a comprehensive comparative analysis of Thailand's food security policies against the Committee on World Food Security (CFS) frameworks. The research examines the evolution of Thailand's food security policies and their alignment with CFS guidelines. It analyzes two main policy frameworks: the Food Security Strategy Framework (2017-2021) by the Ministry of Agriculture and Cooperatives and the Thailand Food Management Action Plan Phase 1 (2023-2027) by the National Food Committee. The findings highlight gaps in areas such as human dignity, gender equality, inclusive governance, and crisis protection. Recommendations include implementing programs for vulnerable groups, promoting gender equality …

Enhancing Multilingual Sentence Representation Learning For The Job Recruitment Domain, Napat Laosaengpha

Chulalongkorn University Theses and Dissertations (Chula ETD)

With the advancement in natural language processing (NLP), there has been significant development in multilingual pretraining sentence encoder. Typically, these pretraining models are trained on large-scale datasets that consist of general text data from various sources such as Wikipedia. However, the general proposed models aren't enough to understand contexts in such a domain-specific, especially in the job recruitment domain. It is due to its niche nature and the lack of readily available related information. To enhance the existing multilingual pretraining sentence encoder and mitigate the aforementioned problems, we first propose multi-task dual-encoder framework to improve the sentence encoder for general-purpose …

Fusion Et Validation De Modèles Musculosquelettiques De La Colonne Lombaire Pour La Prévention Et La Réadaptation Des Travailleurs, Christian Larivière, Farshid Ghezelbash, Amir Eskandari, Denis Gagnon, Hakim Mecheri, Navid Arjmand, Aboulfazl Shirazi-Adl

Rapports de recherche scientifique

Les charges imposées sur la colonne vertébrale lombaire constituent un facteur de risque important pour les maux de dos. Connaître la distribution de ces forces internes lors d’activités de travail est nécessaire autant en prévention qu’en réadaptation des travailleurs. La modélisation musculosquelettique (MS) de la colonne vertébrale est la seule approche non invasive permettant d’estimer les charges sur les structures internes de la colonne.

Deux modèles ont été développés au Québec, soient un modèle par éléments finis (MEF) guidé par le mouvement et un autre guidé par des mesures électromyographiques (EMG) d’activation musculaire (modèle MEMG). Ces modèles sont donc sensibles …

Quantification Of Antiviral Drug Tenofovir (Tfv) By Surface-Enhanced Raman Spectroscopy (Sers) Using Cumulative Distribution Functions (Cdfs), Marguerite R. Butler, Jana Hrncirova, Meredith Clark, Sucharita Dutta, John B. Cooper

Chemistry & Biochemistry Faculty Publications

Surface-enhanced Raman spectroscopy (SERS) is an ultrasensitive spectroscopic technique that generates signal-enhanced fingerprint vibrational spectra of small molecules. However, without rigorous control of SERS substrate active sites, geometry, surface area, or surface functionality, SERS is notoriously irreproducible, complicating the consistent quantitative analysis of small molecules. While evaporatively prepared samples yield significant SERS enhancement resulting in lower detection limits, the distribution of these enhancements along the SERS surface is inherently stochastic. Acquiring spatially resolved SERS spectra of these dried surfaces, we have shown that this enhancement is governed by a power law as a function of analyte concentration. Consequently, by definition, …

Effects Of Hemp Fibers On The Mechanical Performance Of Concrete, Hamida Baassou

Masters Theses

The construction industry is known to be globally the number one contributor to greenhouse gas emissions (GHG) and energy consumption. The purpose of this study is to examine the potential use of hemp as a concrete reinforcement, its mechanical properties and strength, its environmental and socio-economic advantages, and its limitations. To examine the mechanical performance of hemp fiber, 54 specimens will be tested for compressive, tensile, and flexural strength. This was done in two parts. In the first part hemp fibers in two different ratios (0.5v% and 1v%), and two different treatments (water and 5% sodium hydroxide) were added to …

Supported Metal Nanoparticle Synthesis: Precursor Deposition And Agglomeration At Support Surfaces, Edward H. Chandler Jr.

Theses and Dissertations

Catalysis is a critical component of the chemical manufacturing industry. For example, it has been estimated to be essential to more than 90% of the major industrial processes developed during the middle years of the 20^th century.¹ Heterogeneously supported transition metal catalysts in particular have many benefits such as easy separability from the reaction mixture and high thermal stability. One method of synthesizing these is wet impregnation, wherein a metal solution is brought into contact with an oxide- or carbon-based powder. Given optimal environmental conditions, a metal will adhere to the surface through electrostatic means in a process …

Benchmarking And Enhancing Generalization In Multilingual Speech Emotion Recognition, Mohamed Osman Ismael

Theses and Dissertations

Speech Emotion Recognition (SER) is pivotal in advancing human-computer interaction by enabling machines to understand and respond to human emotions. Despite significant progress with self-supervised learning models, SER systems often struggle with generalization across diverse languages and unseen data distributions, limiting their real-world applicability. This thesis addresses these challenges by first introducing a large-scale benchmark to evaluate the robustness and adaptability of state-of-the-art SER models in both in-domain and out-of-domain settings. The benchmark includes a diverse set of multilingual datasets, emphasizing cross-lingual and out-of-domain evaluations to assess model generalization. Surprisingly, we find that the Whisper model, originally designed for automatic …

Investigating The Regulation Of Epithelial-Mesenchymal Transition Through Fibronectin-Mediated Tgf-Β1 Mechanotransduction Using In Vitro Models Of Triple-Negative Breast Cancer, Michael M. Sofroniou

Theses and Dissertations

TGF-β1 is a potent regulator of epithelial-mesenchymal transtion (EMT), a cellular
transdifferentation process that promotes cellular motility and matrix remodeling, critical to tumorigenesis and metastasis. TGF-β1-induced EMT promotes the assembly of FN, which synergistically binds latent TGF-β1 to aid in its activation. The purpose of of this work is to further probe the effects of autocrine TGF-β1 signaling during EMT progression by utilizing CRISPR-Cas9 deletion of the TGFB1 gene in in vitro models of triple-negative breast cancer. The studies outlined in this work demonstrate that autocrine TGF-β1 maintains a baseline level of mesenchymal marker expression. It also functions to desensitize …

Nano-Patterned Si Structures For Optical Filters And Electro-Mechanical Relays: Fabrication, Characterization, Prospects, And Limitations, Md Ataul Mamun

Theses and Dissertations

Nanofabrication technology, especially nanopatterning, is a rapidly advancing field that has already resulted in creating novel devices and holds promise for producing even more with unmatched performance. These techniques also allow us to gain insight into physical phenomena at the micro- and nanoscale. The ultimate performance of nanofabricated devices and their compatibility with existing Si-based CMOS technology hinge upon the careful selection of materials and precise design, coordinated with meticulous pattern transfer. In this work, we applied nanopatterning techniques on silicon to create optical filters for the shortwave infrared (SWIR) region and nanoelectromechanical system (NEMS) relay-based logic gates. Additionally, these …

Modeling And Mitigating Power Grid Vulnerabilities: A Comprehensive Analysis Of Renewable Energy Integration, Cascading Failures, And Microgrid Resilience, Saikat Das

Theses and Dissertations

In modern power systems, rapid integration of renewable energy and the emergence of microgrid technology emphasize the necessity for a comprehensive understanding of vulnerabilities and robust defense mechanisms. The research begins with an exploration of power grid vulnerabilities to cascading failure amidst the increasing integration of renewable energy sources. A novel power balance technique is employed for cascading failure analysis and power grid vulnerability measurement. Simulation results indicate that the growing penetration of renewable energy has a proportionally higher impact on grid vulnerability to cascading failures. After a certain level of renewable energy penetration, some systems may deteriorate rapidly, necessitating …

Developing Machine Learning And Time-Series Analysis Methods With Applications In Diverse Fields, Muhammed Aljifri

Theses and Dissertations

This dissertation introduces methodologies that combine machine learning models with time-series analysis to tackle data analysis challenges in varied fields. The first study enhances the traditional cumulative sum control charts with machine learning models to leverage their predictive power for better detection of process shifts, applying this advanced control chart to monitor hospital readmission rates. The second project develops multi-layer models for predicting chemical concentrations from ultraviolet-visible spectroscopy data, specifically addressing the challenge of analyzing chemicals with a wide range of concentrations. The third study presents a new method for detecting multiple changepoints in autocorrelated ordinal time series, using the …

Adaptable And Trustworthy Machine Learning For Human Activity Recognition From Bioelectric Signals, Morgan S. Stuart

Theses and Dissertations

Enabling machines to learn measures of human activity from bioelectric signals has many applications in human-machine interaction and healthcare. However, labeled activity recognition datasets are costly to collect and highly varied, which challenges machine learning techniques that rely on large datasets. Furthermore, activity recognition in practice needs to account for user trust - models are motivated to enable interpretability, usability, and information privacy. The objective of this dissertation is to improve adaptability and trustworthiness of machine learning models for human activity recognition from bioelectric signals. We improve adaptability by developing pretraining techniques that initialize models for later specialization to unseen …

Insights Into The Characterization And Degradation Of Electrospun Polycaprolactone Scaffolds For Tissue Engineering Applications, Caleb B. Wells

Theses and Dissertations

Electrospun polymeric biodegradable scaffolds are essential in tissue engineering, particularly for Engineered Tissue Vascular Grafts (ETVGs), which promise advancements in treating coronary artery disease, peripheral arterial disease, congenital cardiovascular defects, and renal disease. These scaffolds present a solution to issues with autologous graft availability and durability. While large-diameter grafts in low-pressure environments have seen success, small-diameter grafts in high-flow scenarios remain challenging. Understanding polymeric scaffold degradation and behavior during incubation, especially under dynamic mechanical loading, is vital for clinical translation of small-caliber ETVGs.

This research focuses on characterizing the mechanical and microstructural properties of electrospun polycaprolactone (PCL) scaffolds and their …

Assessing The Organic Acids-Solubilized Collagen Derived From The Skin Of Unicornfish (Naso Reticulatus Randall, 2011) On Physicochemical And Structural Characteristics: Toward Alternative Source For Industrial Applications, Dayang Fazrianie Harianto, Abdul Aziz Jaziri, Rossita Shapawi, Ruzaidi Azli Mohd Mokhtar, Wan Norhana Md. Noordin, Masmunira Rambli, Nurul Huda

ASEAN Journal on Science and Technology for Development

Converting skin by-product of unicornfish (Naso reticulatus Randall, 2011) into a valuable commodity like collagen is a good strategy to explore alternative sources for land-based animals. Additionally, marine fish collagens are preferable due to their safer and great properties. This project aimed to compare extractability of collagens prepared with three organic acids (i.e., acetic, lactic and citric acids), and their characteristics were also discussed. Collagen extracted with citric acid (CSCUS) (7.10%) had a significantly higher yield (p