Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

2022

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 8101 - 8130 of 9373

Full-Text Articles in Engineering

Ethylene Polymerization With Zirconocene Catalyston Zeolite A Support Derived From Fly Ash, Natthapat Warintha Jan 2022

Ethylene Polymerization With Zirconocene Catalyston Zeolite A Support Derived From Fly Ash, Natthapat Warintha

Chulalongkorn University Theses and Dissertations (Chula ETD)

Zeolite A (LTA) synthesis from fly ash has many applications, in which metallocene catalytic support is uncommon. This research study has three parts. Firstly, investigation of the effects of immobilized MAO cocatalyst and zirconocene catalyst techniques on silica support. Immobilized MAO, followed by metallocene catalyst method had the highest catalytic activity, which was used in the next parts. The second part examined the optimal temperature and [Al]MAO/[Zr]cat ratio with ethylene polymerization in a semi-batch autoclave reactor utilizing LTA-supported metallocene catalysts. The optimal conditions were found at 80°C and [Al]MAO/[Zr]cat ratios equal to 2000 that were used in the next section. …

Go to article

Characteristics And Catalytic Properties Of Copper On Mcf-Si And Sba-15 For Hydrogenation Of Carbon Dioxide, Sirimas Suelueam Jan 2022

Characteristics And Catalytic Properties Of Copper On Mcf-Si And Sba-15 For Hydrogenation Of Carbon Dioxide, Sirimas Suelueam

Chulalongkorn University Theses and Dissertations (Chula ETD)

At present, the production of methanol from the hydrogenation of carbon dioxide is widespread. The current popular catalysts include copper oxide, zinc oxide and aluminum oxide (CZA) catalysts. As the reaction progresses, the catalyst forms coke. This causes the efficiency of the catalyst to decrease. In this study, the copper catalyst on the mesoporus silica support was investigated. This type of support has high thermal stability. Cu catalysts were synthesized on MCF-Si and SBA-15 supports with different pore morphology such as spherical and hexagonal shape, respectively, by wetness impregnation (W) method and incipient wetness impregnation (IW) with a copper loading …

Go to article

Comparison Of Techno-Economic Analysis Of 1,3-Propanediol Production From Crude Glycerol Via Chemical And Biological Methods, Sivatchaya Boriboon Jan 2022

Comparison Of Techno-Economic Analysis Of 1,3-Propanediol Production From Crude Glycerol Via Chemical And Biological Methods, Sivatchaya Boriboon

Chulalongkorn University Theses and Dissertations (Chula ETD)

At present, the biodiesel industry is expanding rapidly which could lead to an oversupply of the by-product, crude glycerol. To manage this, crude glycerol should be converted into value-added chemicals such as 1,3-propanediol (1,3-PDO). In this study, the production of 1,3-PDO via catalytic reaction is simulated using a process simulator to evaluate its techno-economic performance as well as its environmental impact. The obtained results will be compared with the conventional production of 1,3-PDO to point out the advantages that the catalytic reaction can offer in terms of economic, energy utilization, raw material utilization, and environmental impacts.

Go to article

Scale Up Of Benzoxazinone Derivative Synthesis In Batch Reactor, Sumate Boonkird Jan 2022

Scale Up Of Benzoxazinone Derivative Synthesis In Batch Reactor, Sumate Boonkird

Chulalongkorn University Theses and Dissertations (Chula ETD)

Benzoxazinone derivative is one of starting materials in the synthesis of Deferasirox (a Chelating iron for thalassemia patient). The parameters of Benzoxazinone derivative synthesis were investigated from the condensation of salicylic acid, salicylamide, cyanuric chloride, and triethylamine using toluene as solvent. The mole equivalent ratio of salicylic acid: salicylamide:cyanuric chloride:triethylamine at 1:1:0.67:1 provided the 46.77% yield of Benzoxazinone derivative in laboratory scale. Surprisingly, 4-chloro-2-(2-hydroxyphenyl)-4H-benzo[e][1,3]oxazine-4-ol was observed in the synthesis of Benzoxazinone derivative. In addition, the reaction scheme of Benzoxazinone derivative synthesis was proposed as a model for the study of the chemical kinetic constant. Furthermore, the scale up of Benzoxaxinone …

Go to article

Effects Of Zinc Oxide On Thermal, Mechanical, Morphological, And Gas Barrier Properties Of Polybutylene Succinate/ Poly(3-Hydroxybutyrate-Co-4-Hydroxybutyrate) Films, Sunisa Suwatthi Jan 2022

Effects Of Zinc Oxide On Thermal, Mechanical, Morphological, And Gas Barrier Properties Of Polybutylene Succinate/ Poly(3-Hydroxybutyrate-Co-4-Hydroxybutyrate) Films, Sunisa Suwatthi

Chulalongkorn University Theses and Dissertations (Chula ETD)

Currently, conventional polymers from petrochemical processes have low biodegradability and remain in the environment for several hundred years. This has negative effects on the environment. This research aims to improve the properties of biopolymers such as poly(butylene succinate) (PBS) and poly(3-hydroxybutyrate-co-4-hydroxybutyrate) (P3HB4HB). P3HB4HB was selected to blend with PBS in with weight ratios of PBS:P3HB4HB was 90/10 and ZnO nanoparticles (0.5, 1 and 2%) was selected as a nucleating agent. The melt blending process using an internal mixer and molded into a film using a compression molding process. The chemical structures, morphological properties, thermal properties, dynamic mechanical properties, mechanical properties …

Go to article

Control Of A Polybutylene Succinate (Pbs) Polymerization In A Semi-Batch Reactor By Neural Network Model Based Predictive Controller, Takorn Plengsangsri Jan 2022

Control Of A Polybutylene Succinate (Pbs) Polymerization In A Semi-Batch Reactor By Neural Network Model Based Predictive Controller, Takorn Plengsangsri

Chulalongkorn University Theses and Dissertations (Chula ETD)

Polybutylene succinate (PBS) is a biodegradable plastic known for its strength and versatility in various applications. This research presents a data-driven approach to simulate temperature control in a semi-batch reactor during polymerization, the performance of the proposed approaches was compared against conventional controllers, including PID control and first-principles model MPC control. The study developed neural network model-based predictive control (NNMPC) and multiple neural network model-based predictive control (Multi-NNMPC), using Python and Tensorflow. Neural network models were trained by using a wide range of dynamic data with varying numbers of neurons in hidden layers to investigate the process dynamics under different …

Go to article

Design Of Process For Recovery Of Gold And Nickel Ions From Wastewater Of Metal Plating Process In Electronics Industry Using Hollow Fiber Supported Liquid Membrane, Wanchalerm Srirachat Jan 2022

Design Of Process For Recovery Of Gold And Nickel Ions From Wastewater Of Metal Plating Process In Electronics Industry Using Hollow Fiber Supported Liquid Membrane, Wanchalerm Srirachat

Chulalongkorn University Theses and Dissertations (Chula ETD)

In the manufacture of printed circuit boards (PCBs), electroless nickel immersion gold (ENIG) plating is widely applied. During the plating process, excess nickel and gold plating solutions, which adheres to the workpiece, is removed. As a result, economical quantities of nickel and gold ions accumulate in the rinse water baths and can then be collected. In this work, the simultaneously selective extraction and recovery of nickel and gold ions using a single-step operation of hollow fiber supported liquid membrane (HFSLM) technique was studied. Real rinse wastewater from the plating process containing trace nickel ions (Ni(II)) of 15 mg/L and gold …

Go to article

The Study Of Weave-Pattern Effect On Filtration Performance Of Woven Filter Cloths By Computational Fluid Dynamic Modeling, Wisit Bandasak Jan 2022

The Study Of Weave-Pattern Effect On Filtration Performance Of Woven Filter Cloths By Computational Fluid Dynamic Modeling, Wisit Bandasak

Chulalongkorn University Theses and Dissertations (Chula ETD)

An important global problem that has an impact on both human health and the environment is air pollution. Exercise and outdoor activities are essential for human well-being, but they can also have a detrimental effect on health and the environment. For example, PM2.5 and PM10 particles can enter the lungs and cause respiratory and cardiovascular disorders. Moreover, masks must be worn in order to stop the COVID-19 epidemic from spreading. Nevertheless, not all masks are effective in preventing viruses and air pollution. Consequently, selecting the proper mask is essential for avoiding health risks. Using the use of computational fluid dynamics, …

Go to article

An Analytical Network Process (Anp) Model For Choosing Optimal Public-Private Partnership (Ppp) Contract Types For Infrastructure Projects, Su Lae Yee Zaw Jan 2022

An Analytical Network Process (Anp) Model For Choosing Optimal Public-Private Partnership (Ppp) Contract Types For Infrastructure Projects, Su Lae Yee Zaw

Chulalongkorn University Theses and Dissertations (Chula ETD)

With the rapid social and economic development, a great deal of expenditure is crucial for the nation's infrastructure development. Nevertheless, the governments of many developing nations have been experienced with the limited budget and technical inability to deliver effective public infrastructures. Public-private partnership (PPP) has been adopted as an alternative collaboration arrangement between the government and the private sector in many nations to overcome these challenges. PPP can be defined as a long-term contract between a public agency and a private entity for rendering public facilities, including design, construct, finance, operate, and manage the project. The PPP contract types can …

Go to article

Mediastinal Lymph Node Detection And Segmentation Using Deep Learning, Al-Akhir Nayan Jan 2022

Mediastinal Lymph Node Detection And Segmentation Using Deep Learning, Al-Akhir Nayan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Automatic lymph node (LN) segmentation and detection for cancer staging are critical. In clinical practice, computed tomography (CT) and positron emission tomography (PET) imaging detect abnormal LNs. Despite its low contrast and variety in nodal size and form, LN segmentation remains a challenging task. Deep convolutional neural networks frequently segment items in medical photographs. Most state-of-the-art techniques destroy image's resolution through pooling and convolution. As a result, the models provide unsatisfactory results. Keeping the issues in mind, a well-established deep learning technique UNet++ was modified using bilinear interpolation and total generalized variation (TGV) based upsampling strategy to segment and detect …

Go to article

Recasnet: Reducing Mismatch Within The Two-Stage Mitosis Detection Framework, Chawan Piansaddhayanon Jan 2022

Recasnet: Reducing Mismatch Within The Two-Stage Mitosis Detection Framework, Chawan Piansaddhayanon

Chulalongkorn University Theses and Dissertations (Chula ETD)

Mitotic count (MC) is an important histological parameter for cancer diagnosis and grading, but the manual process to obtain this metric is tedious and not fully reproducible across different pathologists. To mitigate this problem, several deep learning models have been utilized to speed up the process. Typically, the problem is formulated as a two-stage deep learning pipeline: the detection stage for proposing the potential candidates for mitotic cells and the classification stage for refining prediction confidences from the former stage. However, this paradigm can lead to inconsistencies in the classification stage due to the poor prediction quality of the detection …

Go to article

Leverage Graph Neural Network For Molecular Properties Prediction, Kamol Punnachaiya Jan 2022

Leverage Graph Neural Network For Molecular Properties Prediction, Kamol Punnachaiya

Chulalongkorn University Theses and Dissertations (Chula ETD)

During the age of deep learning technologies, which have exhibited significant potential in reducing costs and expediting medical development, predicting molecular properties has become a prevalent task that capitalizes on the capabilities of deep learning. This thesis proposed a multimodal Graph Neural Network (GNN) model that utilizes the topology information obtained from molecular graphs through a baseline GNN, facilitating precise property predictions. The thesis improves the baseline CMPNN model by exploring various methods to address potential missing gaps. These methods include incorporating the multimodal module, such as a Bidirectional LSTM module capable of processing text sequences in SMILES format or …

Go to article

Service Placement Optimization For Location-Based Service, Karnkitti Kittikamron Jan 2022

Service Placement Optimization For Location-Based Service, Karnkitti Kittikamron

Chulalongkorn University Theses and Dissertations (Chula ETD)

Location-based service (LBS) is necessary and useful for several applications including navigation and games. These real-time applications require high accuracy and low delay. In general, the complexity of indoor localization algorithms used in LBS depends on the size of fingerprint data. This can lead to long delays when operating in large-scale areas. In this paper, we propose a novel optimization framework for edge service placement, aiming at minimizing the overall cost of edge computing deployment and service response time. Our placement strategy is used to solve the formulated edge node placement problems. The simulated annealing approach is then used in …

Go to article

Machine Learning For Wavelet-Based Valve Stiction Detection, Kris Prasopsanti Jan 2022

Machine Learning For Wavelet-Based Valve Stiction Detection, Kris Prasopsanti

Chulalongkorn University Theses and Dissertations (Chula ETD)

Valve stiction presents challenges in industrial process control, leading to oscillations and hindering the regulation of fluid flow. This thesis addresses the detection of valve stiction by exploring the limitations of current methods and proposes a novel approach that combines wavelet reconstruction and convolutional neural networks (CNN) to enhance stiction detection performance. The proposed method utilizes preprocessed process variable versus controller output (PV(OP)) plots as input to the CNN model, capitalizing on the distinctive characteristics of stiction. Training and evaluation employ both simulated and real-world data from the International Stiction Data Base (ISDB), with the F1 score serving as the …

Go to article

Deep Reinforcement Learning For Electricity Energy Trading, Manassakan Sanayha Jan 2022

Deep Reinforcement Learning For Electricity Energy Trading, Manassakan Sanayha

Chulalongkorn University Theses and Dissertations (Chula ETD)

The deregulation and liberalization of the energy market in the 1990s prompted short-term electricity trading, allowing energy markets to produce net output over a range of time periods as a result of this decentralized system, most commonly minutes to days ahead of time. The energy industry urgently requires a system that has undergone substantial modernization in place to handle a variety of issues, including the current climate, renewable resources, and the energy framework. In this dissertation, we investigate a deep reinforcement learning framework for both wholesale and local energy trading, which probes the challenge of RL to optimize the real-world …

Go to article

Real-Time Image Classification For Malignant Biliary Strictures On Cholangioscopy Images Based On Deep Learning Approach, Passakron Phuangthongkham Jan 2022

Real-Time Image Classification For Malignant Biliary Strictures On Cholangioscopy Images Based On Deep Learning Approach, Passakron Phuangthongkham

Chulalongkorn University Theses and Dissertations (Chula ETD)

It is challenging to determine if the cause of bile duct strictures is benign or malignant. Currently, endoscopists may more precisely inspect the bile duct thanks to computerized single-operator cholangioscopy. As a result, lesions in the bile duct can be seen with the naked eye. However, endoscopists continue to diagnose patients differently. Consequently, a biopsy is typically regarded as the gold standard. The necessity to repeat operations results from a biopsy sample mistake that results in a false-negative cancer diagnosis. In this study, we suggest a convolutional neural network developed particularly for real-time malignant biliary stricture classification. Our approach, which …

Go to article

Formal Models For Consent Management In Healthcare Software System Development, Neda Peyrone Jan 2022

Formal Models For Consent Management In Healthcare Software System Development, Neda Peyrone

Chulalongkorn University Theses and Dissertations (Chula ETD)

In the era of data-driven opportunities, many businesses are missing the data-privacy challenge, which leads to risks in safeguarding their customers’ data. To empower individuals (data subjects) to control their data, the General Data Protection Regulation (GDPR) mandated businesses or organizations (data controllers) to protect individuals’ data (personal data) within data protection law. Nevertheless, many businesses still struggle to enhance and develop their software systems to comply with the GDPR because it is difficult to interpret and apply to software development practices. Besides, the processing of personal data begins when the data subject provides explicit consent to the data controller, …

Go to article

Real-Time Gastric Intestinal Metaplasia Semantic Segmentation With Multiple Abnormalities Using Deep Learning Approach, Passin Pornvoraphat Jan 2022

Real-Time Gastric Intestinal Metaplasia Semantic Segmentation With Multiple Abnormalities Using Deep Learning Approach, Passin Pornvoraphat

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis declares the segmentation of gastric intestinal metaplasia (GIM) in real-time. Recently, GIM segmentation of endoscopic images has been conducted to distinguish GIM from a healthy stomach. However, achieving real-time detection is difficult. Challenging conditions include multiple color modes (white light endoscopy and narrow-band imaging), other abnormal lesions (erosion and ulcer), noisy labels, etc. Herein, our model is based on BiSeNet and can overcome the many issues regarding GIM. Applying auxiliary head and loss boosts the performance on multiple color modes. In addition, pre-processing techniques, including location-wise negative sampling, jigsaw augmentation, and label smoothing, are utilized to improve detection …

Go to article

แบบจำลองคุณภาพซอฟต์แวร์โอเพนซอร์ซเพื่อการวัดคุณภาพอย่างอัตโนมัติ, อัรกอม มะแดเฮาะ Jan 2022

แบบจำลองคุณภาพซอฟต์แวร์โอเพนซอร์ซเพื่อการวัดคุณภาพอย่างอัตโนมัติ, อัรกอม มะแดเฮาะ

Chulalongkorn University Theses and Dissertations (Chula ETD)

ปัจจุบันได้มีการนำเสนอแบบจำลองคุณภาพซอฟต์แวร์โอเพนซอร์ซหลายแบบจำลองเพื่อใช้ในการประเมินคุณภาพของซอฟต์แวร์โอเพนซอร์ซ แต่แบบจำลองเหล่านั้นมีข้อจำกัดเนื่องจากเป็นการประเมินตามความคิดส่วนตัวซึ่งต้องอาศัยผู้ใช้ในการประเมิน และแบบจำลองดังกล่าวต้องการข้อมูลจากหลากหลายแหล่ง เพื่อเสริมการประเมินคุณภาพซอฟต์แวร์โอเพนซอร์ซที่เป็นอยู่ให้ทำได้สมบูรณ์มากยิ่งขึ้น วิทยานิพนธ์นี้จึงได้นำเสนอแบบจำลองคุณภาพซอฟต์แวร์โอเพนซอร์ซใหม่ที่ชื่อว่าโอเอสเอส-เอคิวเอ็ม โดยมีเป้าหมายเพื่อการวัดคุณภาพซอฟต์แวร์โอเพนซอร์ซอย่างอัตโนมัติ แบบจำลองโอเอสเอส-เอคิวเอ็มได้นำเสนอตัววัดคุณภาพและเครื่องมืออัตโนมัติที่สามารถดึงข้อมูลเกี่ยวกับซอฟต์แวร์โอเพนซอร์ซจากกิตฮับ ซอร์ซโค้ด โซนาร์คิวบ์ และสแต็กเอกซ์เชนจ์ ทำให้สามารถกำหนดคะแนนคุณภาพของซอฟต์แวร์โอเพนซอร์ซได้ โอเอสเอส-เอคิวเอ็มได้รับการตรวจสอบจากวิศวกรซอฟต์แวร์ที่มีประสบการณ์ในการเลือกใช้ซอฟต์แวร์โอเพนซอร์ซ นอกจากนี้การจัดลำดับซอฟต์แวร์โอเพนซอร์ซโดยเครื่องมือโอเอสเอส-เอคิวเอ็มยังถูกนำไปเปรียบเทียบกับการจัดลำดับด้วยวิธีอื่น และพบว่าการจัดลำดับของโอเอสเอส-เอคิวเอ็มมีสหสัมพันธ์ระดับต่ำมากถึงปานกลางในทิศทางตรงกันข้ามกับวิธีจัดลำดับอื่น ๆ ตามความคิดเห็นและความนิยมของผู้ใช้ และมีสหสัมพันธ์ระดับปานกลางในทิศทางเดียวกันกับวิธีการจัดลำดับอื่นที่เน้นการตรวจสอบความมั่นคงที่ซอฟต์แวร์โดยตรง ทั้งนี้เนื่องจากโอเอสเอส-เอคิวเอ็มครอบคลุมปัจจัยคุณภาพหลายอย่างที่ไม่ได้ถูกพิจารณาโดยวิธีการจัดลำดับอื่น ๆ ดังกล่าว โอเอสเอส-เอคิวเอ็มจึงให้ข้อมูลด้านคุณภาพของซอฟต์แวร์โอเพนซอร์ซในเชิงลึกที่ดีกว่า

Go to article

Sms For Part 135 Commuter And On-Demand Operations - The Practitioner’S Perspective, Michael Ott, Anthony P. Carufe, Chien-Tsung Lu Jan 2022

Sms For Part 135 Commuter And On-Demand Operations - The Practitioner’S Perspective, Michael Ott, Anthony P. Carufe, Chien-Tsung Lu

Journal of Aviation/Aerospace Education & Research

On May 15th, 2017, N452DA, a Learjet 35A operated by Trans-Pacific Air Charter, LLC, departed from Philadelphia to Teterboro, New Jersey (TEB) on a positioning flight under 14 Code of Federal Regulations § 91 (Part 91) in Visual Meteorological Conditions (VMC). While circling to land Runway 01 at TEB after executing the Instrument Landing System (ILS) Runway 06 approach, N452DA stalled and crashed one-half mile south of the approach end of runway 01. The flight records indicated that the crew committed numerous errors before the accident, including deviations from air traffic control (ATC) clearances, company standard operating procedures (SOP), and …

Go to article

“You’Ll Never Really Be One Of Us”: Women’S Underrepresentation In The Aviation Workforce, Rebecca K. Lutte, Shannon M. Morrison Jan 2022

“You’Ll Never Really Be One Of Us”: Women’S Underrepresentation In The Aviation Workforce, Rebecca K. Lutte, Shannon M. Morrison

Journal of Aviation/Aerospace Education & Research

Women are underrepresented in many aviation occupations despite outreach and recruitment efforts from multiple organizations. Attracting women into aviation is a necessity not only to address workforce demand but also to achieve the benefits of a more diverse workforce to include enhanced profitability, safety, and innovation. To address the gender gap, the research presented here attempts to inform recruitment/retention strategies by identifying both the positive and negative factors that influence a woman’s decision to pursue a career in aviation and the decision to persist. Additionally, factors such as participation in youth outreach programs, role of mentors, influencers who support or …

Go to article

Spatiotemporal Analysis Of Taxi And Transportation Network Companies (Tnc) Demand In The Wake Of Covid-19, Dewan Ashraful Parvez Jan 2022

Spatiotemporal Analysis Of Taxi And Transportation Network Companies (Tnc) Demand In The Wake Of Covid-19, Dewan Ashraful Parvez

Electronic Theses and Dissertations, 2020-2023

The objective of the thesis is to understand the factors affecting spatiotemporal ridehailing demand patterns as the COVID-19 pandemic has evolved. Specifically, the current study examines the key contributing factors of weekly ridehailing demand by employing Taxi and Transportation Network Companies (TNC) trip data from January 2019 through December 2020 for New York City. The ridehailing demand is partitioned across four time periods including Morning Peak, Morning Off Peak, Evening Peak and Evening Off Peak to accommodate for the time-of-day specific variations. Drawing on the high-resolution NYC data, the current study developed pooled spatial panel models to accommodate for the …

Go to article

Development Of Active Learning Data Fixing Tool With Visual Analytics To Enhance Traffic Near-Miss Diagnosis, Jinyu Pei Jan 2022

Development Of Active Learning Data Fixing Tool With Visual Analytics To Enhance Traffic Near-Miss Diagnosis, Jinyu Pei

Electronic Theses and Dissertations, 2020-2023

This study proposes a software to upgrade the UCF SST's Automated Roadway Conflicts Identification System (ARCIS), a pixel-to-pixel manner automated safety diagnostics and conflict identification system. The system is developed to extract vehicles' trajectories and traffic parameters using unmanned aerial vehicles (UAV) video and utilizing deep learning techniques. A user-friendly tool to improve rapid system development with active-learning, data analysis, and visualization techniques is introduced, which is capable of traffic safety near-miss diagnostics based on the ARCIS output. Multiple approaches are used to enhance the system performance, including video stabilization, object filtering, stitching multiple videos, vehicle detection and tracing. In …

Go to article

Mechanical Behavior Of Plain Weave Nylon Reinforced Drop-Stitch Inflatable Panels, Anthony J. White Jan 2022

Mechanical Behavior Of Plain Weave Nylon Reinforced Drop-Stitch Inflatable Panels, Anthony J. White

Open Access Master's Theses

All CUI (Controlled Unclassified Information) is U.S. government property and has been removed from this thesis.

Go to article

Mechanical Response Of Constituent Materials Used In Plain Weave Nylon Reinforced Inflatable Drop Stitch Structures, Matthew S. Buglio Jan 2022

Mechanical Response Of Constituent Materials Used In Plain Weave Nylon Reinforced Inflatable Drop Stitch Structures, Matthew S. Buglio

Open Access Master's Theses

All CUI (Controlled Unclassified Information) is U.S. government property and has been removed from this thesis.

Go to article

Investigation Of The Effects Of Weave Geometry On The Mechanical Response Of Woven Fabrics, Rogan Daniel Kennedy Jan 2022

Investigation Of The Effects Of Weave Geometry On The Mechanical Response Of Woven Fabrics, Rogan Daniel Kennedy

Open Access Master's Theses

Document is CUI.

Go to article

Welding Personal Protective Equipment: Survey, Interview, And Anthropometric Measurement Study, Kaitlin Neville Jan 2022

Welding Personal Protective Equipment: Survey, Interview, And Anthropometric Measurement Study, Kaitlin Neville

Open Access Master's Theses

Abstract contains CUI and cannot be viewed online.

Go to article

Journal Of The Arkansas Academy Of Science - Volume 76, 2022, Academy Editors Jan 2022

Journal Of The Arkansas Academy Of Science - Volume 76, 2022, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Go to article

Distal Urogenital Anatomy In The Male Wood Frog, Lithobates Sylvaticus (Anura: Ranidae), Stanley E. Trauth Jan 2022

Distal Urogenital Anatomy In The Male Wood Frog, Lithobates Sylvaticus (Anura: Ranidae), Stanley E. Trauth

Journal of the Arkansas Academy of Science

I investigated the microanatomy of the distal urogenital system of the male Wood Frog (Lithobates sylvaticus) from a small sample (n = 6) collected in northern Arkansas in February 2020. Specifically, my primary objectives were as follows: 1) to focus on the histology of the paired Wolffian (urogenital) ducts caudally from the kidneys to their merging with the urodeum of the cloaca, 2) to reveal the structure of the paired seminal vesicles (sperm storage structures), and 3) to compare epithelial morphologies between the distal urogenital tract and its neighboring distal alimentary tract. This information will promote a clearer …

Go to article

Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors Jan 2022

Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Go to article

First Prev Next Last