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(R1887) Inferring Trends Of Point Processes From Non-Iid Samples, Bruno Appolloni

Applications and Applied Mathematics: An International Journal (AAM)

We discuss unprecedented, albeit rudimentary, tools to infer the evolution of a point process where the available samples are both truncated and non independently drawn. To achieve this goal, we lay in an intermediate domain between probability models and fuzzy sets, still maintaining probabilistic features of the employed statistics as the reference KPI of the tools. The overall strategy is to frame the problem within the Algorithmic Inference framework and use a sort of kernel trick to distort the seeds of the observed variable so as to render them an iid sample of a random variable in a proper feature …

Chronostratigrapy Of Miocene Fluviolacustrine Deposits In Amargosa Valley, Levente Laisz

Loma Linda University Electronic Theses, Dissertations & Projects

Fluviolacustrine deposits of middle Miocene age occur on the western margins of the Amargosa Valley, in the central Basin and Range. These deposits contain the earliest pupfish (Cyprinodon) reported from the fossil record. National Park collections contain specimens of pupfish fossils, interpreted as possibly Pliocene; however the exact collection location and stratigraphic horizon was not known. Therefore, the geographic extent of the fossil locality and geologic age of these specimens were uncertain. Recently, these collection sites were relocated and additional sites were discovered. Ar-Ar dating of interbedded tuffs established the first appearance datum of pupfish at 14.79 Ma and extended …

Law And Sampling Theory, Jack Thorlin

The University of New Hampshire Law Review

Law involves a fundamental tradeoff, a sampling problem. In science, sampling problems emerge when trying to understand something complicated by considering discrete, manageable subsets of it—samples. When doing that, scientists must compromise between accuracy and resource-expenditure. Perfect accuracy requires infinite resources, such as a perfect digital image with infinite file size. Perfection being unattainable, scientists must decide what level of accuracy is best for any given case. Every kind of law, from parking regulations to criminal to high constitutional theory, is subject to the same dynamic.

Law’s sampling problem is the tradeoff between accurate representation of a community’s moral preferences …

Economic Estimates Of Wild Hog (Sus Scrofa) Damage And Control Among Young Forest Plantations In Alabama, Micah Fern, Rebecca Barlow, Chris Slootmaker, John Kush, Stephanie Shwiff, Larry Teeter, Jim Armstrong

United States Department of Agriculture Wildlife Services: Staff Publications

Operating as ecological engineers, the increased distribution and abundance of wild hogs (Sus scrofa) has caused considerable socio-economic impacts. The international scope of economic research providing wild hog damage estimates are often confined to agricultural crops, while damage estimates among forest plantations are lacking. In Alabama, private landowners hold the majority of timberland acreage and are less equipped to absorb financial losses from wild hog damage than their industrial counterparts. A survey was conducted to estimate the economic impact of wild hogs, namely costs of damage and control, to privately owned forestlands. The survey was distributed in the …

A Statistical Comparison Of Covid-19 In The United States Across Political Affiliations And Census Regions, Margarito Torres

Theses and Dissertations

In mid-January 2020, the United States reported their first cases of the coronavirus disease (COVID-19) from a passenger returning from Wuhan, China. Initially, the situation wasn’t very alarming as in China and European countries, but the situation began to worsen in March 2020 when the number of cases began to multiply. Then, in a matter of a few months, the United States became the number one country in terms of total cases and total deaths from COVID-19. We have been closely observing the United States and the world since July 2020. Our study aims to compare the political affiliations and …

Comparisons Of Concrete Slender Wall Software With Full-Scale Experiments, Gloriana M.L. Moua

Architectural Engineering

The 1980 slender wall testing was performed by the Structural Engineers Association of Southern California (SEAOSC) in efforts to analyze behavior of concrete slender walls when lateral and eccentric axial loads are applied. The testing was done with 12 tilt-up wall panels, 3 of each of the four thicknesses: 9 ½”, 7 ¼”, 5 ¾”, and 4 ¾”. What was discovered from testing was that a fixed limitation of height to thickness ratio was not a governing factor and that each case should be analyzed based off the strength and deflection of the wall. It was because of this testing …

Protocol: Teacher Professional Development For Disability Inclusion In Low- And Middle-Income Asia-Pacific Countries: An Evidence And Gap Map, Syeda Kashfee Ahmed, David Jeffries, Anannya Chakraborty, Petra Lietz, Amit Kaushik, Budiarti Rahayu, David Armstrong, Kris Sundarsagar

Assessment and Reporting

According to prior research, teacher readiness and capability are key contributors for successful transition towards disability inclusive education, yet in-service teacher professional development for disability inclusion remains an under-researched area. The key objective of this evidence and gap map (EGM) is to locate evidence on interventions for disability inclusion focused teacher professional development (TPD) in low-to-middle-income-countries (LMICs) in the Asia-Pacific region. As such, it will illustrate different levels of evidence for TPD interventions as well as where there is no evidence (i.e., gaps). In other words, the EGM can make agencies aware where they might be operating in an area …

Rehydrating The Landscape At Yanget, Geraldton, Western Australia, Jamie Bowyer, Rod O'Bree

Natural resources published reports

Rod and Bridie O’Bree’s farm is 25 km east of Geraldton in the Northern Agricultural Region of Western Australia. The long-term rainfall average is 486 mm although that has dropped to 354 mm over the last 30 years. They run a 150 head beef cattle herd, fatten 500-700 lambs annually and have a 40-60 head horse stud on the farm. They purchased the farm early in 2008 after one of the worst droughts in the area. There was little to no vegetation, brown or green, across the farm and all of the water from a 25 mm rain event ran …

New Common Fixed Points For Total Asymptotically Nonexpansive Mapping In Cat(0) Space, Ahmed Jameel Kadhim

Baghdad Science Journal

Strong and ∆-convergence for a two-step iteration process utilizing asymptotically nonexpansive and total asymptotically nonexpansive noneslf mappings in the CAT(0) spaces have been studied. As well, several strong convergence theorems under semi-compact and condition (M) have been proved. Our results improve and extend numerous familiar results from the existing literature.

Organizational Culture: An Examination Of The Role Of Leadership In Neutralizing The Negative Effects Of Technostress During Operational Shifts, David P. Kirkland

All-Inclusive List of Electronic Theses and Dissertations

COVID-19 created a support problem for public universities across the United States and required that IT departments and professionals alter how they performed in 2020, and perhaps beyond. IT professionals tasked with safeguarding large amounts of data were required to shift to a teleworking posture to continue offering a similar level of service as previously expected. In addition to the technological shift that organizations experienced because of COVID-19, leadership challenges also impacted IT departments across the United States. The rapid shift of operational duties has the propensity to increase technology-related stress, due to employee perception of being successful in their …

Clinical Applications Of Magnetic Resonance Imaging Based Functional And Structural Connectivity, Chengyuan Wu, Francisca Ferreira, Michael Fox, Noam Harel, Jona Hattangadi-Gluth, Andreas Horn, Saad Jbabdi, Joshua Kahan, Ashwini Oswal, Sameer A Sheth, Yanmei Tie, Vejay Vakharia, Ludvic Zrinzo, Harith Akram

Department of Neurosurgery Faculty Papers

Advances in computational neuroimaging techniques have expanded the armamentarium of imaging tools available for clinical applications in clinical neuroscience. Non-invasive, in vivo brain MRI structural and functional network mapping has been used to identify therapeutic targets, define eloquent brain regions to preserve, and gain insight into pathological processes and treatments as well as prognostic biomarkers. These tools have the real potential to inform patient-specific treatment strategies. Nevertheless, a realistic appraisal of clinical utility is needed that balances the growing excitement and interest in the field with important limitations associated with these techniques. Quality of the raw data, minutiae of the …

Voltage And Frequency Control In Ac Islanded Microgrid, Hamad Mohammad Al Sharif

Theses

Microgrids are described as linking many power sources (renewable energy and traditional sources) to meet the load consumption in real-time. Because renewable energy sources are intermittent, battery storage systems are required, typically used as a backup system. An energy management strategy (EMS) is required to govern power flows across the entire microgrid. In recent research, various methods have been proposed for controlling the micro-grids, especially voltage and frequency control. This study introduces a microgrid system, an overview of local control in the microgrid, and an efficient EMS for effective microgrid operations using three smart controllers for optimal microgrid stability. We …

Neural Network Models For Tcp - Syn Flood Denial Of Service Attack Detection With Source And Destination Anonymization, Sahil Anande

Theses

The Internet has become a necessity in today's digital world, and making it secure is a pressing concern. Hackers are investing ever-increasing efforts to compromise Internet nodes with novel techniques. According to Forbes, every minute, $ 2,900,000 is lost to cybercrime. A common cyber-attack is Denial of Service (DoS) or Distributed Denial of Service (DDoS) attacks, which may bring a network to a standstill, and unless mitigated, network services could be halted for an extended period. The attack can occur at any layer of the OSI model. This thesis focuses on SYN Flood DoS/DDoS attacks, also known as TCP Flood …

A Practical Extension To The Ab/Ba Design, My T.A Nguyen

Electronic Theses and Dissertations

In this work, we take a close look at a general extension to the traditional AB/BA
crossover design that is commonly used in clinical trials to determine the effectiveness
of new candidate drugs. While the traditional crossover design requires each patient
in the study to be measured on both treatment A and treatment B, we consider the
possibility of additional measurements being available on each patient. This produces
designs such as the AABB/BBAA design which has been used in previous studies.
A general test statistic will be derived to test for treatment effects as well as its
corresponding power function …

Soil Gypsum Content Analysis Of The Proposed Road Route Extension Of Fm 2185 In The Gypsum Plain, Culberson County, Texas, Chikaodili Ohakawa

Electronic Theses and Dissertations

Soils serve as the underlying substrate on which foundations for most structures are built. The properties of a soil type are therefore an important consideration in building engineered structures. Gypsic soils are problematic for construction of such structures. One of the main problems with gypsic soils is dissolution. Gypsum (CaSO₄·2H₂O) in soils dissolves easily creating voids which can be detrimental to the integrity of engineering structures. To mitigate this, it is important to determine the amount of gypsum present in soils, before construction is initiated.

In this study, three methods were employed in the determination of …

Continuous Variable Quantum Compilation Analysis, Federico Rueda

Theses

Over the last few years quantum computers have rose to prominence as a solution for increasing computing power and tackling problems intractable by classical computers. Classical computers have struggled to meet the ever-increasing demand for data processing and modeling. Thus, quantum computers would meet the demand for heavy computing tasks that classical computers could never achieve. Today there exist two promising quantum technologies that have the potential to prove quantum supremacy in the near future: super-conducting qubits and Continuous Variable (CV) model. Out of the two, superconducting qubits have been at the forefront of quantum computing research. NISQ (Noise intermediate-scale …

Futuristic Smart Solutions For People Of Determination In Schools And Universities, Luloa Alsayah, Shaikha Abdulrahman, Sanaa Enkeleya

Theses

In this project, future smart solutions for people of determination in schools and universities were discussed. The background was presented on the topic, as the issue of integrating people of determination in schools and then integrating them into society still takes a wide range of societal, family, and institutional attention, and it undoubtedly deserves much attention that befits this dear group in our society. The literature has shown the existence of previous studies and applications similar to those proposed in the project, which sought within the framework of this advanced vision to enable "people of determination" to provide quality services …

Predicting Risk Of Readmission In Heart Failure Patients Using Electronic Health Records, Pradumna Suryawanshi

Theses

This thesis research investigates the prediction of readmission risk in heart failure patients using their electronic health record (EHR) data from previous hospitalizations. We examine three primary questions. First, we study the use of attention mechanism in readmission prediction model based on long short-term memory(LSTM) networks and investigate the interpretability it offers regarding the importance of critical time during the visit in readmission prediction. Second given that, generally dataset is curated by combining data from multiple hospitals we investigate model generalization across multiple sites. Finally since in real life scenario model will be trained on past data and used to …

A Deep Learning Classifier For Detecting Atrial Fibrillation In Hospital Settings Applicable To Various Sensing Modalities, Kamil Bukum

Theses

Cardiac signals provide variety of information related to the patient's health. One of the most important is for medical experts to diagnose the functionality of a patient’s heart. This information helps the medical experts monitor heart disease such as atrial fibrillation and heart failure. Atrial fibrillation (AF) is one of the most major diseases that are threatening patients’ health. Medical experts measure cardiac signals usng the Electrocardiogram (ECG or EKG), the Photoplethysmogram (PPG), and more recently the Videoplethysmogram (VPG). Then they can use these measurements to analyze the heart functionality to detect heart diseases. In this study, these three major …

Quantum Correlations Using Classical Detectors, Chamithri Adikarige

Theses

Single photons are vital to quantum computing, information processing, and transportation. Popular single-photon experiments are one or two-photon interference, classification of the light source, and characterization of detectors. Currently, the most efficient detector in the telecom wavelength is the Superconducting Nanowire detector. How- ever, experiments have been successful in demonstrating single-photon measurements can be done with unconventional detectors. One such method employed an EMCCD camera to observe spatial correlations between pixels with single photons. This thesis aims to test non-single photon-counting PIN photodetectors to observe time-correlation measurement. The improved detection model uses a high-resolution 2GHz oscilloscope and a cross-correlation algorithm. …

Used Cars Price Prediction And Valuation Using Data Mining Techniques, Abdulla Alshared

Theses

Due to the unprecedented number of cars being purchased and sold, used car price prediction is a topic of high interest. Because of the affordability of used cars in developing countries, people tend more purchase used cars. A primary objective of this project is to estimate used car prices by using attributes that are highly correlated with a label (Price). To accomplish this, data mining technology has been employed. Null, redundant, and missing values were removed from the dataset during pre-processing. In this supervised learning study, three regressors (Random Forest Regressor, Linear Regression, and Bagging Regressor) have been trained, tested, …

Adaptability And Revisability In Climate Models, Kristopher Edelman

Theses

The global climate is shifting rapidly, bringing with it increased risk for climate-related harms to human societies. Climate science is a multi-disciplinary field, requiring experts from diverse specialties to collaborate in order to model complex systems. The complexity and uncertainty of these scientific models raise philosophical questions such as:

• What epistemic, ethical, and social assumptions go into model creation?
• What mathematical and statistical principles are incorporated into their design?
• How is interpretation involved in the selection and analysis of data to generate climate models?

Philosophical issues related to complexity, uncertainty, and the role of values require that modelers evaluate trade-offs. …

Development Of A Magnetic Confinement Attachment For Enhanced Signal In Handheld Laser Induced Breakdown Spectroscopy Soil Analysis, Alfred C. Anderson

Theses and Dissertations

Field techniques for characterizing low levels of heavy elements of less than 100 parts per million in soils tend to be unreliable because of the relatively weak signal of these elements and the large, variable background inherent to analyzing soils with minimal sample preparation. To enhance the detection and analysis capability of a handheld laser-induced breakdown spectroscopy (LIBS) instrument, this work investigates the effects of a unique magnetic confinement apparatus on signal intensities, focusing on five iron lines as well as those from actinides in 11 soil samples. The proposed magnetic confinement apparatus achieved over 0.8 T but did not …

Approaches To Improve The Execution Time Of A Quantum Network Simulation, Joseph B. Tippit

Theses and Dissertations

Evaluating quantum networks is an expensive and time-consuming task that benefits from simulation. A potential improvement is to utilize GPUs, namely by leveraging NVIDIA's programming framework, CUDA. To avoid performance pitfalls of higher level languages and programming models such as the so called "two language problem," the Julia Programming Language provides the basis for the development effort. This research develops a two module prototype quantum network simulation framework using GPUs and Julia. Performance of the software is measured and compared against other languages such as MATLAB.

Characterization Of Infrared Metasurface Optics With An Optical Scatterometer, Matthew R. Miller

Theses and Dissertations

An optical scatterometer is used to characterize the infrared scatter of a dielectric metasurface cylindrical lens and two variants of that design. The design uses dielectric nanopillars to create the parabolic phase delay required for lensing; the variants change the length of the nanopillars from the design length of 4 microns to 0.9 and 5.2 microns. Scatter measurements were made at the design wavelength of 4 microns, and at 3.39 and 5 microns. These measurements showed wide-angle scatter greater than that measured for a conventional refractive optic, and that these metasurfaces perform their optical function best at the design wavelength …

Meta-Analysis Of Performance Characteristics Of Modern Database Schemas, Carter Grove

Theses and Dissertations

Industry and academia alike are more commonly using databases as solutions to advanced and complex problems. Unfortunately, not all database schemas are created equal and can yield different advantages in different areas. To try to understand what database schema might be best suited for a user’s needs, we sought out to distinguish how databases are measured against each other, what their performance characteristics are, and what advantages each type of database inherently possesses. To allow for the ingestion of data across the five different categories of database schemas, we used a met-analysis of past literature and aggregated the data to …

The Effect Of Shot Dependency On Composite Materials Subject To Ballistic Testing, Clayton C. Hankins

Theses and Dissertations

Ballistic analysis was performed on four common composite armor materials: 3k standard modulus plain weave carbon fiber, 8HS satin weave S-glass fiber, plain weave Kevlar® KM2 600 Denier fiber, and Spectra Shield® 4232 ultra-high molecular weight polyethylene to determine shot dependency based upon shot-to-shot impact distance, degree of penetration from the initial impacts, and the delamination effects from the initial impact. The primary measure of ballistic performance was the projectile velocity which represents a 50% probability of penetration, V₅₀. This velocity was determined using a three-phase optimal design test method with an average of twelve shots per test. …

Spectral Analysis Of Climate Dynamics With Operator-Theoretic Approaches, Gary Froyland, Dimitrios Giannakis, Benjamin R. Lintner, Maxwell Pike, Joanna Slawinska

Dartmouth Scholarship

The Earth’s climate system is a classical example of a multiscale, multiphysics dynamical system with an extremely large number of active degrees of freedom, exhibiting variability on scales ranging from micrometers and seconds in cloud microphysics, to thousands of kilometers and centuries in ocean dynamics. Yet, despite this dynamical complexity, climate dynamics is known to exhibit coherent modes of variability. A primary example is the El Niño Southern Oscillation (ENSO), the dominant mode of interannual (3–5 yr) variability in the climate system. The objective and robust characterization of this and other important phenomena presents a long-standing challenge in Earth system …

Elitism In Mathematics And Inequality, Ho-Chun Herbert Chang, Feng Fu

Dartmouth Scholarship

The Fields Medal, often referred as the Nobel Prize of mathematics, is awarded to no more than four mathematicians under the age of 40, every 4 years. In recent years, its conferral has come under scrutiny of math historians, for rewarding the existing elite rather than its original goal of elevating under-represented mathematicians. Prior studies of elitism focus on citational practices while a characterization of the structural forces that prevent access remain unclear. Here we show the flow of elite mathematicians between countries and lingo-ethnic identity, using network analysis and natural language processing on 240,000 mathematicians and their advisor–advisee relationships. …

Measuring And Modeling Energy And Power Consumption In Living Microbial Cells With A Synthetic Atp Reporter, Yijie Deng, Douglas Raymond Beahm, Steven Ionov, Rahul Sarpeshkar

Dartmouth Scholarship

Background: Adenosine triphosphate (ATP) is the main energy carrier in living organisms, critical for metabolism and essential physiological processes. In humans, abnormal regulation of energy levels (ATP concentration) and power consumption (ATP consumption flux) in cells is associated with numerous diseases from cancer, to viral infection and immune dysfunction, while in microbes it influences their responses to drugs and other stresses. The measurement and modeling of ATP dynamics in cells is therefore a critical component in understanding fundamental physiology and its role in pathology. Despite the importance of ATP, our current understanding of energy dynamics and homeostasis in living cells …