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Articles 7621 - 7650 of 196022
Full-Text Articles in Engineering
Synthesis And Ir Spectroscopic Study Of Complexes Of Selected 3d-Metals With 2-(Phenylmethyl)-1h-Benzimidazole, Gulnoza O. Babayeva, Gulbeka G. Mamatova, Daminbek A. Ziyatov, Lola Sh. Makhmudova, Shahlo Sh. Daminova
Synthesis And Ir Spectroscopic Study Of Complexes Of Selected 3d-Metals With 2-(Phenylmethyl)-1h-Benzimidazole, Gulnoza O. Babayeva, Gulbeka G. Mamatova, Daminbek A. Ziyatov, Lola Sh. Makhmudova, Shahlo Sh. Daminova
CHEMISTRY AND CHEMICAL ENGINEERING
The aim of this study was the synthesis and structural investigation of coordination compounds of selected 3d-metals with 2-(phenylmethyl)-1H-benzimidazole (FAB) using IR spectroscopy. Complexes of copper(II), nickel(II), cobalt(II), and zinc(II) with the general formula [M(FAB)2Cl2], as well as a complex [Co(FAB)2(ac)2], were synthesized. IR spectroscopic analysis revealed that FAB coordinates to metal ions through the nitrogen atom of the benzimidazole ring. Shifts in the ν(C=N), ν(C-N) bands and the appearance of new bands in the 580-430 cm⁻¹ region corresponding to ν(M-N) and ν(M-Cl) confirm the formation of metal complexes. It was established …
Technological And Mechanical Properties Of Polyethylene Filled With Nano-Sized Calcium Carbonate, Ilyos M. Makhmudov, Ravshan I. Adilov, Muzafar G. Alimukhamedov, Farangiz B. Izzatullayeva
Technological And Mechanical Properties Of Polyethylene Filled With Nano-Sized Calcium Carbonate, Ilyos M. Makhmudov, Ravshan I. Adilov, Muzafar G. Alimukhamedov, Farangiz B. Izzatullayeva
CHEMISTRY AND CHEMICAL ENGINEERING
Currently, one of the most effective and cost-effective ways to modify the properties of polyethylene is to introduce various fillers of organic or inorganic origin. The purpose of this work was to study the effect of the concentration of nanosized calcium carbonate on the technological and physicomechanical properties of polyethylenes of various origins. In the work, we used two grades of polyethylene: HDPE (273-83) and LDPE (10803-020) produced by Kazanorgsintez OJSC. The following were used as nanofillers: nanosized calcium carbonate in the form of a compound of the Nano-cal NC-K0117 brand made in China. The dependence of the physicomechanical properties …
Additional Loss On Ignition Of Cement Raw Mixes At High Temperatures, Geun-Seong Lee, Farrukh B. Erkinov, Mastura Kh. Aripova
Additional Loss On Ignition Of Cement Raw Mixes At High Temperatures, Geun-Seong Lee, Farrukh B. Erkinov, Mastura Kh. Aripova
CHEMISTRY AND CHEMICAL ENGINEERING
Loss on ignition (LOI) of cement, raw materials and raw mixes in cement industry is specified as the weight loss at 900~1000 oC and 15~30 minutes in the standards of each region (GOST, ISO, ASTM, JIS, KS) in the world, and the clinker yield produced from the raw mixes feeding to the kiln process is generally derived from the LOI. The kiln conditions are significantly different from those specified in the standards, because the material temperature is up to 1450 oC and the residence time is about 15 minutes above 1000 oC in the kiln burning process. …
Composition Of Porcelain Mass Based On Clay Shale From The Dzherdanak Deposit, Ripsime V. Mkrtchyan
Composition Of Porcelain Mass Based On Clay Shale From The Dzherdanak Deposit, Ripsime V. Mkrtchyan
CHEMISTRY AND CHEMICAL ENGINEERING
Known sources of high-quality raw materials are depleted. To meet the growing demand for porcelain products, natural raw materials from new deposits are being studied. The aim of the study is to develop a composition of porcelain mass for household porcelain based on unconventional raw materials - clay shales of the Dzherdanak deposit. Compositions of hard porcelain based on clay shales and other components of local natural raw materials with and without magnesium oxide have been developed. As a result of X-ray and electron microscopic studies of the porcelain structure, it was determined that the crystalline phases in the porcelain …
Seasonal Variation In Modulus Of Cement-Treated Base Layers And Untreated Base Layers In Utah, Mason Robert Kessler Millard
Seasonal Variation In Modulus Of Cement-Treated Base Layers And Untreated Base Layers In Utah, Mason Robert Kessler Millard
Theses and Dissertations
The objective of this research was to compare the stiffness of cement-treated base (CTB) layers and untreated base course (UTBC) layers in a cold region through a typical year. The scope of work included testing of three residential pavement segments comprising CTB layers and two comparable pavement segments comprising UTBC layers in northern Utah. Design thicknesses were verified through drilling and dynamic cone penetrometer testing in September 2024. Following 3 to 15 years of service, the sites were evaluated using portable falling-weight deflectometer (PFWD) testing in May 2024, July 2024, September 2024, November 2024, January 2025, and March 2025. After …
Emergence Of Norms In The Presence Of Social Network Structure In A Stochastic Evolutionary Game Theory Model, Parker Foresman
Emergence Of Norms In The Presence Of Social Network Structure In A Stochastic Evolutionary Game Theory Model, Parker Foresman
Dissertations and Theses
In their 2000 paper, The Emergence of Classes in a Multi-Agent Bargaining Model, Axtell, Epstein, and Young introduced an agent-based bargaining model to study how social norms can emerge and persist from the decentralized, asynchronous interactions of individual agents in the presence of noise, even when these agents have no predefined preferences or advantages. This thesis extends their model by incorporating structured interaction networks, allowing us to investigate how the topology of agent interactions influences long-run dynamics and norm formation. Using a custom simulation package built in the Julia programming language, we replicate the original results under a complete …
Kernel Principal Component Analysis And Convolutional Neural Network-Based Approach For Obstructive Sleep Apnoea Detection Using Electrocardiogram, Aida Noor Indrawati, Nuryani Nuryani, Wiharto Wiharto, Diah Kurnia Mirawati, Trio Pambudi Utomo, Nanang Wiyono
Kernel Principal Component Analysis And Convolutional Neural Network-Based Approach For Obstructive Sleep Apnoea Detection Using Electrocardiogram, Aida Noor Indrawati, Nuryani Nuryani, Wiharto Wiharto, Diah Kurnia Mirawati, Trio Pambudi Utomo, Nanang Wiyono
Iraqi Journal for Computer Science and Mathematics
Obstructive Sleep Apnoea (OSA) is a prevalent sleep disorder characterised by repeated episodes of partial or complete upper airway obstruction during sleep, primarily due to the relaxation and collapse of soft tissues in the throat. These interruptions lead to disrupted sleep patterns and reduced oxygen saturation, increasing the risk of cardiovascular complications. Although Polysomnography (PSG) is considered the gold standard for diagnosing OSA, it is often uncomfortable for patients due to the extensive use of sensors and prolonged monitoring duration. As a result, there is a growing need for alternative diagnostic methods that are more efficient, comfortable, and cost-effective. This …
Iraqi’S Car License Plate Recognition Based On Deep Learning, Mushreq Abdulhussain Shuriji, Husam Al-Behadili, Hadel A. Hussain
Iraqi’S Car License Plate Recognition Based On Deep Learning, Mushreq Abdulhussain Shuriji, Husam Al-Behadili, Hadel A. Hussain
Iraqi Journal for Computer Science and Mathematics
Vehicle license plate recognition is essential due to the rising number of operational cars, which leads to an increasing difficulty of this task even for humans. Systems for car license recognition normally consist of two branch systems, namely, license plate recognition and license plate detection. The aim of the detection part is to pinpoint the car and the position of its license plate, while the objective of the recognition part is to recognize characters on that plate. In this work, the emphasis is on Arabic car license plates. In this category of plates, there are three lines containing numerals and …
Retracted: High-Performance System For Predicting Icu Patient Durations Using Artificial Neural Networks With Transfer Learning, Mahmood. K. Awsaj, Yousif Al Mashhadany, Lamia Chaarifourati
Retracted: High-Performance System For Predicting Icu Patient Durations Using Artificial Neural Networks With Transfer Learning, Mahmood. K. Awsaj, Yousif Al Mashhadany, Lamia Chaarifourati
Iraqi Journal for Computer Science and Mathematics
In the wake of disease outbreaks such as COVID-19, real-time health monitoring and prediction systems have become essential for ensuring effective patient care. These systems rely on sensors to monitor biometric parameters such as blood pressure, body temperature, and heart rate, providing continuous and accurate data that medical staff cannot collect manually around the clock. This study presents a robust framework for managing Intensive Care Unit (ICU) patients using Artificial Neural Networks (ANN) with Transfer Learning. The data is analyzed across five distinct time windows, each representing a period of ICU stay based on vital signs and medical test results. …
From Chemistry To Conscious Code: How Ai Is Shaping The Next Generation Of Sustainable Innovation, Shehan S. Makani
From Chemistry To Conscious Code: How Ai Is Shaping The Next Generation Of Sustainable Innovation, Shehan S. Makani
STEM for Success Showcase
In a world racing toward an uncertain future, we stand at the thrilling intersection of chemistry, artificial intelligence, and human resilience. For many of us in STEM, this is no longer just about mastering equations or coding algorithms - it’s about engineering the future itself. At NJIT, we are not just students and researchers - we are builders, thinkers, and dreamers. And the truth is, the world needs dreamers with tools now more than ever.
Fourier-Feature Mlp Toolkit For Gpu-Accelerated Cardiac-Mri 4dcmr Strain Analysis, Aarnav T. Sabale, Marco A. Prado, Craig J. Goergen
Fourier-Feature Mlp Toolkit For Gpu-Accelerated Cardiac-Mri 4dcmr Strain Analysis, Aarnav T. Sabale, Marco A. Prado, Craig J. Goergen
Discovery Undergraduate Interdisciplinary Research Internship
This paper explores the embedding of a Fourier-Feature—enhanced multiplayer perceptron(MLP-FEE) at the heart of a newly refactored python workflow for four-dimensional cardiac-MRI strain quantification demonstrating how a single, compact network can outperform traditional convolution and spline-based methods. The original code, capable of orientation normalization, displacement tracking, and finite-difference strain computation, has been translated and consolidated into pytorch. By injecting sinusoidal positional encodings at the network’s input layer supplied a rich set of high-frequency basis functions hence enabling multilayer MLP to resolve gradients that cubic splines and conventional CNNs typically blur or struggle with. Profiling on an Apple-silicon GPU shows interactive …
Rotor Interaction Aerodynamics: Influence Of Phase And Spacing On Wake And Pressure Behavior, Nathan D. Welker
Rotor Interaction Aerodynamics: Influence Of Phase And Spacing On Wake And Pressure Behavior, Nathan D. Welker
Theses and Dissertations
This dissertation explores the aerodynamic behavior and interactions in the flow-fields of dual rotor systems. The experiments used Particle Image Velocimetry (PIV) combined with pressure and force measurements to characterize the flow with an emphasis on side-by-side rotor flows at small separation distances. This work is separated into six main chapters: first, the topic is introduced with a thorough literature review in Chapter 1, the methodology and details of the experiments are discussed in detail in Chapter 2; the effects of phase offset on dual-rotor rotor flows is explored in Chapter 3; the influence of separation distance on the side-by-side …
Advancing Single-Molecule Nanopore Sensing: From Protein Conformation And Metal Binding To Dna Transport Via Hybrid Nanostructures, Matthew J. Odonohue
Advancing Single-Molecule Nanopore Sensing: From Protein Conformation And Metal Binding To Dna Transport Via Hybrid Nanostructures, Matthew J. Odonohue
Multidisciplinary Studies Theses and Dissertations
This dissertation presents the development and application of solid-state and hybrid nanopore platforms for single-molecule analysis of biomolecular interactions. First, a silicon nitride nanopore was employed to characterize the conformational states of the transferrin receptor (TfR), enabling discrimination between its monomeric and dimeric forms, as well as from its ligand, human serum transferrin (hSTf), despite their similar molecular weights. In a separate study, the same nanopore configuration was used to track the real-time binding of titanium ions to transferrin, demonstrating single-molecule sensitivity to metal-induced conformational changes. A hybrid microtubule–solid-state nanopore (MT–SSN) was then engineered, repurposing microtubules as electrostatically anchored conduits …
Novel Nanomaterials For Developing Bone Scaffolds And Tissue Regeneration, Nazim Uddin Emon, Lu Zhang, Shelby Dawn Osborne, Mark Allen Lanoue, Yan Huang, Z. Ryan Tian
Novel Nanomaterials For Developing Bone Scaffolds And Tissue Regeneration, Nazim Uddin Emon, Lu Zhang, Shelby Dawn Osborne, Mark Allen Lanoue, Yan Huang, Z. Ryan Tian
Cell and Molecular Biology Faculty Publications and Presentations
Nanotechnologies bring a rapid paradigm shift in hard and soft bone tissue regeneration (BTR) through unprecedented control over the nanoscale structures and chemistry of biocompatible materials to regenerate the intricate architecture and functional adaptability of bone. This review focuses on the transformative analyses and prospects of current and next-generation nanomaterials in designing bioactive bone scaffolds, emphasizing hierarchical architecture, mechanical resilience, and regenerative precision. Mainly, this review elucidated the innovative findings, new capabilities, unmet challenges, and possible future opportunities associated with biocompatible inorganic ceramics (e.g., phosphates, metallic oxides) and the United States Food and Drug Administration (USFDA) approved synthetic polymers, including …
Smart Manufacturing In Chemicals, Shehan S. Makani
Smart Manufacturing In Chemicals, Shehan S. Makani
STEM for Success Showcase
The chemical and pharmaceutical manufacturing sectors are evolving toward intelligent, adaptive production systems. This white paper explores how AI-enabled machinery and connected equipment are transforming chemical process efficiency, product quality, and sustainability. Drawing from conceptual case studies at ChemRich USA and ChemeNova LLC, we propose a framework where AI models interface with real-time machine data from centrifuges, filters, reactors, and mixers to enhance formulation, reduce downtime, and enable on-demand customization. The result is a more agile, data-driven, and sustainable manufacturing paradigm.
Coding For Nonstandard Channels: A Capacity-Oriented Approach, J Daniel Harman
Coding For Nonstandard Channels: A Capacity-Oriented Approach, J Daniel Harman
Theses and Dissertations
This work addresses the issue of coding for non-standard channel models with an emphasis on capacity-oriented channel analysis and system design. The first channel studied is the Wyner wiretap channel. Channel sounding results were obtained to calculate the capacity for the multi-antenna case of the Wyner wiretap channel to ascertain the potential for secure communication via secrecy coding. The second channel studied is an asymmetric binary crossover erasure channel (ABCEC) with a short-blocklength constraint. The capacity for this channel was derived, and linear codes were chosen and tested. Another study was conducted on the ABCEC within a degraded wiretap channel …
Solvent- And Binder-Free Additive Manufacturing Of Polymer-Derived Ceramics: Rheological Tuning And Structural Performance, Laxmi Sai Viswanadha, Jeremy Watts, Mohammad Naraghi
Solvent- And Binder-Free Additive Manufacturing Of Polymer-Derived Ceramics: Rheological Tuning And Structural Performance, Laxmi Sai Viswanadha, Jeremy Watts, Mohammad Naraghi
Materials Science and Engineering Faculty Research & Creative Works
Silicon carbide (SiC) ceramic matrix composites are widely used in aerospace applications due to their high strength, heat resistance, and corrosion resistance. However, traditional machining methods make it challenging to fabricate complex shapes. This study presents a solvent-free and binder-free direct ink writing (DIW) method for producing SiC/SiOC composites using polycarbosilane SMP-10, a preceramic polymer that acts as both the ceramic precursor and the liquid phase, thereby eliminating the need for volatile solvents and sacrificial binders. By adjusting the SiC content, printable ink formulations were developed, and their flow properties were analyzed. The influence of geometric factors, such as inter-wall …
Opto-Mechanical Properties Of Monocrystalline Germanium, Phil Scott, Lennon Reinhart, Patrick Strong, Ryan Luder, Shayler Backlund, Trent Newswander
Opto-Mechanical Properties Of Monocrystalline Germanium, Phil Scott, Lennon Reinhart, Patrick Strong, Ryan Luder, Shayler Backlund, Trent Newswander
Space Dynamics Laboratory Publications
SDL Presentation on Opto-Mechanical Properties of Monocrystalline Germanium
Method For Target Detection In A High Noise Environment Through Frequency Analysis Using An Event-Based Vision Sensor, Will Johnston, Shannon Young, David Howe, Rachel Oliver, Zachary Theis, Brian Mcreynolds, Michael L. Dexter
Method For Target Detection In A High Noise Environment Through Frequency Analysis Using An Event-Based Vision Sensor, Will Johnston, Shannon Young, David Howe, Rachel Oliver, Zachary Theis, Brian Mcreynolds, Michael L. Dexter
Faculty Publications
Event-based vision sensors (EVSs), often referred to as neuromorphic cameras, operate by responding to changes in brightness on a pixel-by-pixel basis. In contrast, traditional framing cameras employ some fixed sampling interval where integrated intensity is read off the entire focal plane at once. Similar to traditional cameras, EVSs can suffer loss of sensitivity through scenes with high intensity and dynamic clutter, reducing the ability to see points of interest through traditional event processing means. This paper describes a method to reduce the negative impacts of these types of EVS clutter and enable more robust target detection through the use of …
Assembly Of Non-Close-Packed Poly(N-Isopropylacrylamide) Microgels On Metal Halide Perovskite Films, Amal Alruwaili, Osama M. Alkhudhari, Ran Wang, Zhenyu Jia, Jennifer M. Saunders, Eugenio Picheo, Daniel T.W. Toolan, L. Andrew Lyon, Brian R. Saunders
Assembly Of Non-Close-Packed Poly(N-Isopropylacrylamide) Microgels On Metal Halide Perovskite Films, Amal Alruwaili, Osama M. Alkhudhari, Ran Wang, Zhenyu Jia, Jennifer M. Saunders, Eugenio Picheo, Daniel T.W. Toolan, L. Andrew Lyon, Brian R. Saunders
Engineering Faculty Articles and Research
Hypothesis
Poly(N-isopropylacryamide) microgels (PNIPAM MGs) are interesting model colloids with remarkable self-ordering properties. Metal halide perovskites (MHPs) are solution processable semiconductors that have attracted great interest for optoelectronics applications. Very few studies have considered complex co-crystallizing systems and their effects on structural order formation. This work examines PNIPAM MG ordering within a MHP matrix and investigates whether these pure PNIPAM MGs could form arrays on the MHP surface, passivate MHP defects and provide structurally colored films and solar cells.Experiments
We use a mixed cation MHP (FA0.88MA0.12PbI3) (FA and MA are formamidinium and methylammonium) and investigate the effects …Utilizing Wearable Technology To Improve Pots Diagnostic Testing, Monique Watson, Damen Wilson, Matthew Ward
Utilizing Wearable Technology To Improve Pots Diagnostic Testing, Monique Watson, Damen Wilson, Matthew Ward
Discovery Undergraduate Interdisciplinary Research Internship
Postural orthostatic tachycardia syndrome (POTS) is a form of dysautonomia characterized by a heart rate (HR) increase ≥30 beats/minute (bpm) within 10 minutes of standing from a supine position, without a significant blood pressure drop. POTS can diminish quality of life with symptoms including tachycardia, headaches, and fatigue. Despite established diagnostic criteria, POTS is often underrecognized or misdiagnosed due to its episodic nature. Symptoms may not consistently be present during diagnostic testing, leading to false negatives during in-office testing. Wearables offer a promising solution through continuous physiological monitoring. Individuals with hypermobile Ehler-Danlos Syndrome (hEDS), a population in which POTS is …
Combined Passive And Active Ultrasonic Stress Wave Monitoring Of A Full-Scale Laboratory Reinforced Concrete Bridge Column Subject To Reverse-Cyclic Lateral Loading, Niklas Epple, Thomas Schumacher, A. K. M. Golam Murtuz, Ernst Niederleithinger, Peter Dusicka
Combined Passive And Active Ultrasonic Stress Wave Monitoring Of A Full-Scale Laboratory Reinforced Concrete Bridge Column Subject To Reverse-Cyclic Lateral Loading, Niklas Epple, Thomas Schumacher, A. K. M. Golam Murtuz, Ernst Niederleithinger, Peter Dusicka
Civil and Environmental Engineering Faculty Publications and Presentations
Effective monitoring of reinforced concrete structures requires techniques that detect early-stage material change and active, localized cracking. This study investigates a combined structural health monitoring approach using passive acoustic emission and active ultrasonic methods on a full-scale reinforced concrete bridge column subjected to reverse-cyclic lateral loading. Active monitoring, based on coda wave interferometry, was used to track changes in wave velocity and waveforms, while passive acoustic emission monitoring was used to detect crack activity. The instrumentation consisted of three embedded ultrasonic transducers and three surface-mounted acoustic emission sensors. The results show that active ultrasonic monitoring is most effective prior to …
Impact Of Uncertainties On Structures Damage Tolerance Parameters, Breno De Bruns
Impact Of Uncertainties On Structures Damage Tolerance Parameters, Breno De Bruns
Doctoral Dissertations and Master's Theses
This research aims to enhance the understanding and management of aerospace structural integrity. Traditional fracture control methods, such as damage tolerance analysis (DTA), assume deterministic factors, considering uncertainties inherent in material properties, inspections, and operational conditions only at the final stage by applying safety factors. This research seeks to incorporate these uncertainties throughout the analysis by integrating Monte Carlo simulation with Linear Elastic Fracture Mechanics (LEFM). The objective is to investigate how varying parameters affect crack growth prediction and the effectiveness of inspection strategies. The methodology involves systematically analyzing inspection intervals, considering factors like material properties, probability of detection (POD), …
08.04.2025 Ored Connect, Liz Williamson
08.04.2025 Ored Connect, Liz Williamson
ORED Newsletter
NIH limits AI use and annual proposals accepted per PI
Volumetric Imaging Of Cellular Dynamics Using Light-Sheet Microscopy: From Subcellular Structures To Whole Organisms, Md Nasful Huda Prince
Volumetric Imaging Of Cellular Dynamics Using Light-Sheet Microscopy: From Subcellular Structures To Whole Organisms, Md Nasful Huda Prince
Optical Science and Engineering ETDs
Advancing biomedical imaging requires platforms that combine high-resolution, speed, and stability across biological scales. This dissertation presents three innovations designed to address limitations of conventional light-sheet and oblique plane imaging. First, we introduce Reflected Inline Detection in Epi-Oblique Plane Microscopy (RIDE-OPM), a compact and drift-resistant system that eliminates a tertiary detection path while maintaining alignment flexibility, enabling robust long-term live imaging. Second, we present a high-speed Axially Swept Light-Sheet Microscopy (ASLM) platform for cleared tissues, using dual foci and synchronized sweeping to achieve isotropic sub-micron resolution at up to 40 frames-per-second, a fourfold improvement over standard ASLM. Integrated with a …
Predicting The Yield Strength Of Aluminum Alloys Based On Composition, Clinton K. Waite
Predicting The Yield Strength Of Aluminum Alloys Based On Composition, Clinton K. Waite
Theses and Dissertations
This work describes a model to predict the yield strength of aluminum alloys, in either an annealed or T6 (peak aged) state, based solely on its composition. This is accomplished through the analyses of strengthening mechanisms common to aluminum, of which a novel semi-empirical model to predict precipitation strengthening is discussed. Solid solution strengthening and grain boundary strengthening are more simplistically considered but with significant accuracy. It is shown that by combining the strength contributions of each strengthening mechanism, the overall yield strength can be predicted by its composition in any of the 1xxx-7xxx series alloys. This allows the model …
Atmospheric Waves Experiment (Awe) Thermal Balance: Internal Characterization, Correlation, And Lessons Learned, Matt Ralphs, Mike Holt
Atmospheric Waves Experiment (Awe) Thermal Balance: Internal Characterization, Correlation, And Lessons Learned, Matt Ralphs, Mike Holt
Space Dynamics Laboratory Publications
The Atmospheric Waves Experiment (AWE) is providing the first global characterization of atmospheric waves that originate in Earth’s lower atmosphere and affect space weather. The instrument has been installed on the International Space Station’s (ISS) ExPRESS Logistics Carrier (ELC) site 1 since November 2023. The AWE flight thermal balance test at Space Dynamics Laboratory (SDL) was unique in that the radiation exchange from the radiators was not tested prior to flight. Instead, heaters were placed on the radiators to simulate environmental heat and control the boundary temperatures. Multi-layer insulation (MLI) was installed over the radiators and heat flow meters were …
Recent Advances In Developing Cell-Free Protein Synthesis Biosensors For Medical Diagnostics And Environmental Monitoring, Tyler P. Green, Joseph P. Talley, Bradley Charles Bundy
Recent Advances In Developing Cell-Free Protein Synthesis Biosensors For Medical Diagnostics And Environmental Monitoring, Tyler P. Green, Joseph P. Talley, Bradley Charles Bundy
Faculty Publications
Cell-free biosensors harness the selectivity of cellular machinery without living cells’ constraints, offering advantages in environmental monitoring, medical diagnostics, and biotechnological applications. This review examines recent advances in cell-free biosensor development, highlighting their ability to detect diverse analytes including heavy metals, organic pollutants, pathogens, and clinical biomarkers with high sensitivity and specificity. We analyze technological innovations in cell-free protein synthesis optimization, preservation strategies, and field deployment methods that have enhanced sensitivity, and practical applicability. The integration of synthetic biology approaches has enabled complex signal processing, multiplexed detection, and novel sensor designs including riboswitches, split reporter systems, and metabolic sensing modules. …
Investigation Of The Boulder Porphyry Prospect Jefferson County, Montana, Everett Labudda
Investigation Of The Boulder Porphyry Prospect Jefferson County, Montana, Everett Labudda
Graduate Theses & Non-Theses
With increasing demand for domestic sources of base, precious, and critical metals, previously underexplored mineral systems in the United States are gaining attention. The Boulder Porphyry project (BPP), located 15 miles north of Butte, in Jefferson County, Montana, represents a concealed and underexplored copper-molybdenum porphyry system that shares a similar geologic setting with the world-class mining district in Butte, Montana. This thesis applies a combination of traditional and modern exploration techniques to better understand the nature of hydrothermal mineralization at the BPP. Short-wave infrared (SWIR) analysis of drill core, coupled with bulk rock geochemistry, is used to characterize hydrothermal alteration …
Enhanced Nanomechanical, Tribological And Electrical Properties Of Ni-Cr Coatings Via Max Phase Reinforcement And Metallic Interlayers, Mohammad Ashikul Alam
Enhanced Nanomechanical, Tribological And Electrical Properties Of Ni-Cr Coatings Via Max Phase Reinforcement And Metallic Interlayers, Mohammad Ashikul Alam
Theses and Dissertations
Nickel-Chromium (Ni-Cr) coatings are widely used in industrial applications due to their resistance to oxidation, thermal stability, and adjustable electrical and mechanical properties. However, achieving improved multifunctional performance across various use cases ranging from extreme tribological environments to microscale device integration remains a significant challenge. This thesis explores two complementary strategies for enhancing the performance of Ni-Cr coatings in both thick and thin film configurations, aiming to address limitations in wear resistance, durability, adhesion, and electrical conductivity. For thick coatings, Ni-Cr was reinforced with Ti3SiC2 MAX phase particles and processed using selective laser sintering (SLS) with optimized parameters. The addition …