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Fed 101-008: Fundamentals Of Engineering Design For Civil Engineers, Frank L. Golon

Civil and Environmental Engineering Syllabi

No abstract provided.

Convex Relaxations Of A Continuum Aggregation Model, And Their Efficient Numerical Solution, Mahdi Bandegi

Dissertations

In this dissertation, the global minimization of a large deviations rate function (the Helmholtz free energy functional) for the Boltzmann distribution is discussed. The Helmholtz functional arises in large systems of interacting particles — which are widely used as models in computational chemistry and molecular dynamics. Global minimizers of the rate function (Helmholtz functional) characterize the asymptotics of the partition function and thereby determine many important physical properties such as self-assembly, or phase transitions. Finding and verifying local minima to the Helmholtz free energy functional is relatively straightforward. However, finding and verifying global minima is much more difficult since the …

Quantitative Metrics For Mutation Testing, Amani M. Ayad

Dissertations

Program mutation is the process of generating versions of a base program by applying elementary syntactic modifications; this technique has been used in program testing in a variety of applications, most notably to assess the quality of a test data set. A good test set will discover the difference between the original program and mutant except if the mutant is semantically equivalent to the original program, despite being syntactically distinct.

Equivalent mutants are a major nuisance in the practice of mutation testing, because they introduce a significant amount of bias and uncertainty in the analysis of test results; indeed, mutants …

Dimension Reduction Techniques For High Dimensional And Ultra-High Dimensional Data, Subha Datta

Dissertations

This dissertation introduces two statistical techniques to tackle high-dimensional data, which is very commonplace nowadays. It consists of two topics which are inter-related by a common link, dimension reduction.

The first topic is a recently introduced classification technique, the weighted principal support vector machine (WPSVM), which is incorporated into a spatial point process framework. The WPSVM possesses an additional parameter, a weight parameter, besides the regularization parameter. Most statistical techniques, including WPSVM, have an inherent assumption of independence, which means the data points are not connected with each other in any manner. But spatial data violates this assumption. Correlation between …

Early Detection Of Fake News On Social Media, Yang Liu

Dissertations

The ever-increasing popularity and convenience of social media enable the rapid widespread of fake news, which can cause a series of negative impacts both on individuals and society. Early detection of fake news is essential to minimize its social harm. Existing machine learning approaches are incapable of detecting a fake news story soon after it starts to spread, because they require certain amounts of data to reach decent effectiveness which take time to accumulate. To solve this problem, this research first analyzes and finds that, on social media, the user characteristics of fake news spreaders distribute significantly differently from those …

Investigation Of Small-Scale Energy Release And Transfer Processes In The Solar Atmosphere With High-Resolution Observations In Infrared, Xu Yang

Dissertations

Solar spectrum in the infrared (IR) contains abundant information of solar activities, however, it has not spectral lines in the solar IR spectrum provide different tools to probe the solar atmosphere in various heights. This radiation band in such relatively long wavelength includes various atom and molecule spectral lines that are generated by relatively small energy level transitions. The temperature-sensitive and highly dynamic spectral lines could reveal the energy transmission process more easily than those in the visible wavelength of solar emission. Moreover, the better magnetic sensitivities for the infrared lines resulting from their longer wavelength make them detect the …

Bio-Inspired Learning And Hardware Acceleration With Emerging Memories, Shruti R. Kulkarni

Dissertations

Machine Learning has permeated many aspects of engineering, ranging from the Internet of Things (IoT) applications to big data analytics. While computing resources available to implement these algorithms have become more powerful, both in terms of the complexity of problems that can be solved and the overall computing speed, the huge energy costs involved remains a significant challenge. The human brain, which has evolved over millions of years, is widely accepted as the most efficient control and cognitive processing platform. Neuro-biological studies have established that information processing in the human brain relies on impulse like signals emitted by neurons called …

Amyloid Proteins And Fibrils Stability, Farbod Mahmoudinobar

Dissertations

Compared to globular proteins that have a stable native structure, intrinsically disordered peptides (IDP) sample an ensemble of structures without folding into a native conformation.One example of IDP is the amyloid-beta(Abeta) protein which is the main constituent of senile plaques in the brain of Alzheimer's patients.Understanding the process by which IDPs undergo structural changes to form oligomers that eventually aggregate into senile plaques/amyloid fibrils may significantly advance the development of novel therapeutic methods to treat neurodegenerative diseases, for which there is no cure to date. This dissertation has two main objectives. The first one is to investigate and identify structural …

Mitochondria Imaging And Targeted Cancer Treatment, Tinghan Zhao

Dissertations

Mitochondria are essential organelles as the site of respiration in eukaryotic cells and are involved in many crucial functions in cell life. Dysfunction of mitochondrial metabolism and irregular morphology have been frequently found in human cancers. The capability of imaging mitochondria as well as regulating their microenvironment is important both scientifically and clinically. Mitochondria penetrating peptides (MPPs), certain peptides that are composed of cationic and hydrophobic amino acids, are good candidates for mitochondria targeting. Herein, a novel MPP, D-argine-phenylalanine-D-argine-phenylalanine-D-argine-phenylalanine-NH₂ (rFrFrF), is conjugated with a rhodamine-based fluorescent chromophore (TAMRA). The TAMRA-rFrFrF probe exhibits advantageous properties for long-term mitochondria tracking of …

Topics On High Dimensional Selective Inference, Yan Zhang

Dissertations

In such applications as identifying differentially expressed genes in micro-array experiments or assessing safety and efficacy of drugs in clinical trials, researchers often report confidence intervals (CIs) and p-values only for the selected parameters, which is called selective inference. While constructing multiple CIs for the selected parameters, it is common practice to ignore issue of selection and multiplicity. Although protection against the effect of selection is sufficient in some cases, simultaneous coverage should be also needed in real applications. For example, in clinical trials, multiple endpoints are considered to assess effects of a drug and the ultimate decision often depends …

Cancer Risk Prediction With Whole Exome Sequencing And Machine Learning, Abdulrhman Fahad M Aljouie

Dissertations

Accurate cancer risk and survival time prediction are important problems in personalized medicine, where disease diagnosis and prognosis are tuned to individuals based on their genetic material. Cancer risk prediction provides an informed decision about making regular screening that helps to detect disease at the early stage and therefore increases the probability of successful treatments. Cancer risk prediction is a challenging problem. Lifestyle, environment, family history, and genetic predisposition are some factors that influence the disease onset. Cancer risk prediction based on predisposing genetic variants has been studied extensively. Most studies have examined the predictive ability of variants in known …

Reduction In Salt Deposition On Carbon Nano-Tube Immobilized Membrane During Desalination Via Membrane Distillation, Madihah Saud Humoud

Dissertations

As water scarcity increases globally under the stresses of increasing demand, aquifer depletion, and climate change, the market for efficient desalination technologies has grown rapidly to fill the void. One such developing technology, membrane distillation (MD), has found much interest in the scientific community. MD has also been powered by solar energy and waste heat resources because it can be operated at relatively low temperatures. Recent studies indicate that MD could potentially achieve the efficiencies of state-of-the-art mature thermal desalination technologies, although additional engineering and scientific challenges must first be overcome.

MD can be used to treat high salinity water …

Magnetic Field Effects On Lithium Ion Batteries, Kevin Mahon

Theses

The Nobel Prize in Chemistry 2019 was just recently awarded to John B. Goodenough, M. Stanley Whittingham, and Akira Yoshino for the development of lithium-ion batteries. Lithium-ion batteries have seen use in many different industries and applications such as in portable devices, power grids, and electric vehicles. As lithium-ion batteries become more commonplace they will need to be modeled more extensively. The magnetic field effect on lithium-ion batteries has not been studied significantly since they were first discovered.

Modeling these batteries is still difficult because of the many complexities of the operation of a battery. Lithium-ion batteries are commonly modeled …

Dental Professionals Occupational Noise Exposure And Its Auditory And Non-Auditory Effects, Alexis Frees

Theses

The purpose of this study was to assess noise exposure and its auditory and non-auditory effects on workers in five clinical departments in the School of Dental Medicine at Rutgers Biomedical Health Sciences Campus in Newark, New Jersey. The study included environmental noise level measurement, dental instrument sound level measurement, personal noise dosimetry and a questionnaire survey to assess non-auditory effects. Octave band analysis of environmental noise levels showed that they are slightly above the standard noise criteria for clinics, and measurements from six dental instruments confirm that they contribute higher sound pressure levels at the frequencies of 1000, 2000, …

Micro Pipes – A Portable Integrated Platform For Electrochemical Sensing Using Essence Architecture, Hansin Kim

Theses

The field of microfluidics and lab-on-chip (LOC) technology has the potential to have a truly transformative effect in biological engineering. This includes areas such as single-cell analysis, environmental monitoring, regenerative medicine, and point-of-care diagnostics. Yet despite being the subject of intense research over the past two decades, LOC devices have not been widely adopted. It is increasingly evident that there is a need for an effective and adaptable integration strategy to realize the potential of this technology.

Presented in this thesis is a design for a chip-to-world interface that aims to improve integration while maintaining cost-efficiency and ease of fabrication. …

Impact Of Stirrer Speed And Media Type-Loading On The Breakage Kinetics During Wet Stirred Media Milling Of Griseofulvin, Nathaniel Parker

Theses

The aim of this study is to investigate the impact of stirrer speed (2000-4000 rpm) and bead loading (~20-60%) on the breakage kinetics-energy consumption during milling of griseofulvin, a poorly soluble drug, and compare the performance of crosslinked polystyrene (CPS) beads with that of yttrium-stabilized zirconia (YSZ) beads. Laser diffraction, SEM, viscometry, and XRPD were used for characterization. A microhydrodynamic model was used to interpret the breakage kinetics. An increase in stirrer speed led to faster breakage due to more frequent and forceful CPS bead-bead collisions. Despite causing slight decrease in maximum contact pressure, an increase in CPS bead loading …

Draft For Community Review: Building On A Strong Foundation--Njit 2025, Office Of The Provost

NJIT 2025

No abstract provided.

Cmt 332-101: Structural Systems For Construction Managers, Paul Mccall

School of Applied Engineering and Technology Syllabi

No abstract provided.

Is 680-851: Information Systems Auditing, Charles Pak

Informatics Syllabi

No abstract provided.

Ie 335-001: Engineering Cost Analysis, Athanassios Bladikas

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Ie 203-001: Application Of Computer Graphics In Industrial Engineering, Paul Ranky

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Ie 339-001: Work Measurement & Standards, George Abdou

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Ie 335-101: Engineering Cost Analysis & Control, Dielanda Dumay

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Ie 439-001: Deterministic Models In Operations Research, Esra Buyuktahtakin Toy

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Ie 439-Hm1: Deterministic Models In Operations Research, Esra Buyuktahtakin Toy

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Is 331-001: Database Design, Management And Applications, Art Hendela

Informatics Syllabi

No abstract provided.

Ie 461-101: Product Quality Assurance, George Abdou

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Is 331-005: Database Design, Management And Applications, Art Hendela

Informatics Syllabi

No abstract provided.

Ie 650-101: Advanced Topics In Operations Research, Cai

Mechanical and Industrial Engineering Syllabi

No abstract provided.

Ie 621-101: Simulation Modeling And Analysis, Golgen Bengu

Mechanical and Industrial Engineering Syllabi

No abstract provided.