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Articles 1 - 10 of 10
Full-Text Articles in Physical Sciences and Mathematics
Crowdsourced Archiving Of The January 6th Us Capitol Insurrection: An R/Datahoarders Case Study, Edward Miezio Chapman
Crowdsourced Archiving Of The January 6th Us Capitol Insurrection: An R/Datahoarders Case Study, Edward Miezio Chapman
Master's Theses (2009 -)
The crowdsourced archiving that occurred in the wake of the January 6th US Capitol insurrection exemplifies the potential for agile, collaborative evidence gathering during a crisis situation. This paper studies the r/DataHoarders subcommunity of Reddit and the collective and spontaneous archiving project that users initiated. Users were drawn to the thread out of a desire to contribute to law enforcement efforts, enact punitive justice upon the rioters, engage in public discourse, and preserve information for posterity. They did this by gathering and preserving social media evidence that may have otherwise been lost. I discovered that this constituted a crowdsourced archive …
Statistical Modeling Of Daily Confirmed Covid-19 Cases And Deaths In Europe And United States, Zerui Zhang
Statistical Modeling Of Daily Confirmed Covid-19 Cases And Deaths In Europe And United States, Zerui Zhang
Master's Theses (2009 -)
A novel coronavirus disease was first discovered in Wuhan, China, in December 2019. This new coronavirus named COVID-19 has rapidly spread and become a global threat affecting almost all the countries in the world. Therefore, it is important to know the trend of coronavirus disease to mitigate its effects. A good prediction model is crucial for the health care system to understand the trend of the COVID-19. This study aims to construct a good prediction model. Firstly, we detect change points of the time series data of daily confirmed cases and deaths of COVID-19 in the United States and Europe, …
Efficient Service For Next Generation Network Slicing Architecture And Mobile Traffic Analysis Using Machine Learning Technique, Billian Khan Tapan
Efficient Service For Next Generation Network Slicing Architecture And Mobile Traffic Analysis Using Machine Learning Technique, Billian Khan Tapan
Master's Theses (2009 -)
The tremendous growth of mobile devices, IOT devices, applications and many other services have placed high demand on mobile and wireless network infrastructures. Much research and development of 5G mobile networks have found the way to support the huge volume of traffic, extracting of fine-gained analytics and agile management of mobile network elements, so that it can maximize the user experience. It is very challenging to accomplish the tasks as mobile networks increase the complexity, due to increases in the high volume of data penetration, devices, and applications. One of the solutions, advance machine learning techniques, can help to mitigate …
Copper-Catalyzed Transfer Hydrogenation, Deuteration, And Selective Transfer Hydrodeuteration Of Aryl Alkynes, Kiera Behlow
Copper-Catalyzed Transfer Hydrogenation, Deuteration, And Selective Transfer Hydrodeuteration Of Aryl Alkynes, Kiera Behlow
Master's Theses (2009 -)
Transfer hydrogenation utilizes a non-H2 source of hydrogen to reduce double and triple bonds, utilizing transition metal catalysts in addition to some organocatalysts. The use of earth-abundant first row transition metals with ligands that fine tune the reactivity of the catalyst allows for the selective reduction of unsaturated functionalities by utilizing cheap and ubiquitous hydrogen sources such as water and various alcohols. This precludes the need for highly flammable H2 gas, which is often used with heterogeneous catalysts that offer limited selectivity and functional group tolerability. Catalysts optimized for the transfer hydrogenation of the desired functionality can be implemented to …
Predicting Daily Confirmed Cases In Midwestern Central States In U.S. By Using Aima And Lstm, Yi Zheng
Predicting Daily Confirmed Cases In Midwestern Central States In U.S. By Using Aima And Lstm, Yi Zheng
Master's Theses (2009 -)
Covid-19 is an epidemic disease caused by SARS-Cov-2 virus, which is a type of coronavirus. This virus is highly contiguous, and the confirmed cases of this disease have increased rapidly in a short period. After one month of the first reported case, the World Health Organization (WHO) claims that the Covid-19 will become an international public health emergency. The main purpose of this thesis is to predict the daily confirmed cases of Covid-19 in the midwestern central states in the U.S, by using Autoregression Integrated Moving Average (ARIMA) model and Long Short-Term Memory network (LSTM), which is a type of …
Using Grids As Password Entry Devices, Karol Lejmbach
Using Grids As Password Entry Devices, Karol Lejmbach
Master's Theses (2009 -)
The classic text-based password has been around for a very long time. A lot of security research has been conducted on it. A set of best practices has been available for many years stressing the use of longer and more complex passwords. The issue with this approach is that humans have a hard time recalling long complex sequences of characters. Worse, the more complex the string of characters the more prone it is to being written down which is the most detrimental security threat. The goal of this paper is to introduce and provide an introductory analysis of a grid-based …
Hydrogen-Bonded Clusters: A Study Of The Elusive Anisole-Ammonia And Anisole-Water 1:1 Complexes, John Lawrence Loman
Hydrogen-Bonded Clusters: A Study Of The Elusive Anisole-Ammonia And Anisole-Water 1:1 Complexes, John Lawrence Loman
Master's Theses (2009 -)
The hydrogen bond is one of the most important and versatile interactions found in most subsets of chemistry and biology. This interaction is responsible for reactions and characteristic properties of the systems in thereof. This interaction is just one of several available non-covalent interactions that can occur and over the past several decades of molecular spectroscopy studies, the definition of the hydrogen bond has become broader compared to the “classic” definition. To accurately study the hydrogen-bonding in these systems can be quite challenging due to the size and complexity of the molecules involved, as well as the other interactions that …
Synthesis Of Composites From Cellulose, Chitosan, And Ciprofloxacin Hci Encapsulated In Sporopollenin Capsules, Mark Mitmoen
Synthesis Of Composites From Cellulose, Chitosan, And Ciprofloxacin Hci Encapsulated In Sporopollenin Capsules, Mark Mitmoen
Master's Theses (2009 -)
In order to be effective dressings for the treatment of infected wounds in the battlefield, it is essential that composite materials made from the biopolymers Cellulose and Chitosan contain broad-spectrum antibiotic drugs. These drugs must first be encapsulated into microcapsules in order to protect them from the manufacturing process, ensuring that they remain in a usable form in the final product. Here we demonstrate the successful encapsulation of Ciprofloxacin HCl into Sporopollenin Exine Capsules (SEC) to produce Cipro@SEC, followed by incorporation of Cipro@SEC into a polymer composite consisting of a mixture of Cellulose and Chitosan dissolved in 1-butylmethylimidazolium chloride, an …
Auto-Grading Oct Images Diagnostic Tool For Retinal Disease Classification, Shiyu Tian
Auto-Grading Oct Images Diagnostic Tool For Retinal Disease Classification, Shiyu Tian
Master's Theses (2009 -)
Retinal eye disease is the most common reason for visual deterioration. Long-term management and follow-up are critical to detect the changes in symptoms. Optical Coherence Tomography (OCT) is a non-invasive diagnostic tool for diagnosing and managing various retinal eye diseases. With the increasing desire for OCT image, the clinicians are suffered from the burden of time on diagnoses and treatment. This thesis proposes an auto-grading diagnostic tool to divide the OCT image for retinal disease classification. In the tool, the classification model implements convolutional neural networks (CNNs), and the model training is based on denoised OCT images. The tool can …
Biochemical Analysis Of Dual T-Loop Rna Motifs That Perform Shape Recognition Of The Trna Elbow, John Aparicio Aguirre
Biochemical Analysis Of Dual T-Loop Rna Motifs That Perform Shape Recognition Of The Trna Elbow, John Aparicio Aguirre
Master's Theses (2009 -)
T-loops are highly abundant, structurally conserved five nucleotide motifs that facilitate long range intra- and intermolecular interactions and function to stabilize the tertiary fold of RNA. Interlocked or dual T-loop motifs provide additional thermodynamic stability and perform long-range docking of other RNA molecules. Dual T-loop RNA structures are present within the multi-turnover ribonuclease P-based ribozyme, the ribosome, and the bacterial tRNA-sensing riboswitch genetic element. In all three systems, a dual T-loop structure recognizes TYC/D-loop region of tRNA. Interestingly, sequence conservation at specific positions in the T-loops suggest a conserved interlocked RNA architecture. While X-ray crystallography provides insight into the putative …