Digital Commons Network^™

Natural & Unnatural-Parity Contributions In Electron-Impact Ionization Of Laser-Aligned Atoms, Andrew James Murray, James Colgan, Don H. Madison, Matthew Harvey, Ahmad Sakaamini, James Pursehouse, Kate Nixon, Al Stauffer

Physics Faculty Research & Creative Works

Differential cross section measurements from laser-aligned Mg atoms are compared to theoretical calculations using both time dependent and time-independent formalisms. It is found that both natural and unnatural parity contributions to the calculated cross sections are required to emulate the data when the state is aligned out of the scattering plane.

Theory Of Retrieving Orientation-Resolved Molecular Information Using Time-Domain Rotational Coherence Spectroscopy, Xu Wang, Anh-Thu Le, Zhaoyan Zhou, Hui Wei, C. D. Lin

Physics Faculty Research & Creative Works

We provide a unified theoretical framework for recently emerging experiments that retrieve fixed-in-space molecular information through time-domain rotational coherence spectroscopy. Unlike a previous approach by Makhija et al. (V. Makhija, arXiv:1611.06476), our method can be applied to the retrieval of both real-valued (e.g., ionization yield) and complex-valued (e.g., induced dipole moment) molecular response information. It is also a direct retrieval method without using iterations. We also demonstrate that experimental parameters, such as the fluence of the aligning laser pulse and the rotational temperature of the molecular ensemble, can be quite accurately determined using a statistical method.

Magnetic Control Of Lateral Migration Of Ellipsoidal Microparticles In Microscale Flows, R. Zhou, C. A. Sobecki, J. Zhang, Yanzhi Zhang, Cheng Wang

Mathematics and Statistics Faculty Research & Creative Works

No abstract provided.

Evaluation Of Deep Learning Frameworks Over Different Hpc Architectures, Shayan Shams, Richard Platania, Kisung Lee, Seung Jong Park

Computer Science Faculty Research & Creative Works

Recent advances in deep learning have enabled researchers across many disciplines to uncover new insights about large datasets. Deep neural networks have shown applicability to image, time-series, textual, and other data, all of which are available in a plethora of research fields. However, their computational complexity and large memory overhead requires advanced software and hardware technologies to train neural networks in a reasonable amount of time. To make this possible, there has been an influx in development of deep learning software that aim to leverage advanced hardware resources. In order to better understand the performance implications of deep learning frameworks …

Electromagnetic-Circuit Cosimulation Based On Hybrid Explicit-Implicit Dgtd And Sbf Macromodel, Ping Yuan, Huan Huan Zhang, Li (Lijun) Jun Jiang, Daniel Garcia Donoro, Yu Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

The integrated circuits usually have multiscale feature. If utilizing the explicit discontinuous Galerkin time domain (DGTD) method for electromagnetic-circuit cosimulation, the time step size will be limited to the minimum grid size according to CFL (Courant-Friedrichs-Lewy) condition, which will lead to a small time step size. In order to improve the simulation efficiency, this paper adopts the hybrid explicit-implicit DGTD coupled with the Sigmoidal basis function (SBF) macromodel to achieve electromagnetic-circuit cosimulation.

Analytical Evaluation Of Partial Inductances With Retardation, L. Lombardi, G. Antonini, A. E. Ruehli

Electrical and Computer Engineering Faculty Research & Creative Works

The Partial Element Equivalent Circuit (PEEC) circuit oriented electromagnetic method has been found particularly useful for modeling PCBs, interconnects, and 3-D problems involving both electromagnetic computations and circuits. Efficiency improvements in PEEC for higher frequencies are becoming important especially for large aspect ratio cells. The analytical solution of the six-fold integrals has been shown to lead to a very efficient solution for such integrals. In this paper we introduce a new approach for the analytical evaluation of retarded partial inductances at arbitrary distances.

Mantle Transition Zone Discontinuities Beneath The Indochina Peninsula: Implications For Slab Subduction And Mantle Upwelling, Youqiang Yu, Stephen S. Gao, Kelly H. Liu, Ting Yang, Mei Xue, Khanhphon Le

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

While the northward indentation of the Indian into Eurasian plates has been intensively investigated, its oblique subduction beneath the Indochina Peninsula (ICP) and the role it played on mantle structure and dynamics remain enigmatic. In this first regional-scale receiver function study of the mantle transition zone (MTZ) discontinuities beneath the ICP and its surrounding areas, we stack ~12,000 receiver functions recorded at 33 stations using a non-plane wave common-conversion-point stacking technique. Systematic spatial variations of MTZ thickness with departures between -21 and +24 km from the globally averaged value are revealed, providing independent evidence for the presence of slab segments …

Seismic Anisotropy And Mantle Dynamics Beneath The Malawi Rift Zone, East Africa, Cory A. Reed, Kelly H. Liu, Youqiang Yu, Stephen S. Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

SKS, SKKS, and PKS splitting parameters measured at 34 seismic stations that we deployed in the vicinity of the Cenozoic Malawi Rift Zone (MRZ) of the East African Rift System demonstrate systematic spatial variations with an average splitting time of 1.0 ± 0.3 s. The overall NE-SW fast orientations are consistent with absolute plate motion (APM) models of the African Plate constructed under the assumption of no-net rotation of the global lithosphere and are inconsistent with predicted APM directions from models employing a fixed hot spot reference frame. They also depart considerably from the trend of most of the major …

Quantum Percolation Phase Transition And Magnetoelectric Dipole Glass In Hexagonal Ferrites, S. E. Rowley, Thomas Vojta, A. T. Jones, W. Guo, J. Oliveira, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

Hexagonal ferrites not only have enormous commercial impact (£2 billion/year in sales) due to applications that include ultrahigh-density memories, credit-card stripes, magnetic bar codes, small motors, and low-loss microwave devices, they also have fascinating magnetic and ferroelectric quantum properties at low temperatures. Here we report the results of tuning the magnetic ordering temperature in PbFe_12-xGa_xO₁₉ to zero by chemical substitution x. The phase transition boundary is found to vary as T_N ∼ (1-x/x_c)^2/3 with x_c very close to the calculated spin percolation threshold, which we determine by Monte Carlo simulations, …

Superfluid-Mott Glass Quantum Multicritical Point On A Percolating Lattice, Martin Puschmann, Thomas Vojta

Physics Faculty Research & Creative Works

We employ large-scale Monte Carlo simulations to study a particle-hole symmetric site-diluted quantum rotor model in two dimensions. The ground state phase diagram of this system features two distinct quantum phase transitions between the superuid and the insulating (Mott glass) phases. They are separated by a multicritical point. The generic transition for dilutions below the lattice percolation threshold is driven by quantum uctuations while thetransition across the percolation threshold is due to the geometric uctuations of the lattice. We determine the location of the multicritical point between these two transitions and find its critical behavior. The multicritical exponents read z …

Search For Intermediate Mass Black Hole Binaries In The First Observing Run Of Advanced Ligo, Benjamin P. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

During their first observational run, the two Advanced LIGO detectors attained an unprecedented sensitivity, resulting in the first direct detections of gravitational-wave signals produced by stellar-mass binary black hole systems. This paper reports on an all-sky search for gravitational waves (GWs) from merging intermediate mass black hole binaries (IMBHBs). The combined results from two independent search techniques were used in this study: the first employs a matched-filter algorithm that uses a bank of filters covering the GW signal parameter space, while the second is a generic search for GW transients (bursts). No GWs from IMBHBs were detected; therefore, we constrain …

Effect Of Wall Cooling On Boundary-Layer-Induced Pressure Fluctuations At Mach 6, C. Zhang, Lian Duan, M. Choudhari

Mechanical and Aerospace Engineering Faculty Research & Creative Works

No abstract provided.

Fuzzy Color Clustering For Melanoma Diagnosis In Dermoscopy Images, Haidar A. Almubarak, R. Joe Stanley, William V. Stoecker, Randy Hays Moss

Electrical and Computer Engineering Faculty Research & Creative Works

A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermoscopy images. The approach extends previous research for utilizing a fuzzy set for skin lesion color for a specified class of skin lesions, using alpha-cut and support set cardinality for quantifying a fuzzy ratio skin lesion color feature. Skin lesion discrimination results are reported for the fuzzy clustering ratio over different regions of the lesion over a data set of 517 dermoscopy images consisting of 175 invasive melanomas and 342 benign lesions. Experimental results show that the fuzzy clustering ratio applied over …

Automatic Privacy Prediction To Accelerate Social Image Sharing, Zhenzhong Kuang, Zongmin Li, Dan Lin, Jianping Fan

Computer Science Faculty Research & Creative Works

The manual process for privacy setting could be very time-consuming and challenging for common users. By assuming that there are hidden correlations between the visual properties of images (i.e., visual features) or object classes and the privacy settings for image sharing, an effective algorithm is developed in this paper to achieve automatic prediction of image privacy, so that the best-matching privacy setting can be recommended automatically for each single image being shared. Our algorithm for automatic image privacy prediction contains two approaches: (a) feature-based approach by learning more representative deep features and discriminative classifier for assigning each single image being …

Electronic Receiver Device Detection System And Method, Jagannathan Sarangapani, Maciej Jan Zawodniok, Vivek Thotla, Mohammad Tayeb Ahmad Ghasr, Jake Hertenstein

Electrical and Computer Engineering Faculty Research & Creative Works

A super regenerative receiver detection system and method that includes a computing system that stores and executes a cross modulation correlation component to modulate a radio-frequency (RF) stimulation signal that is transmitted in an area using a modulating signal having a first modulating mode, and receive a response UEE signal from the area in which the response UEE signal includes a cross modulated signal emitted from a super regenerative receiver (SRR). The cross modulated signal having a second modulation mode that is different from the first modulation mode. Using this information, the cross modulation correlation component processes the received UEE …

Triply Differential Measurements Of Single Ionization Of Argon By 1-Kev Positron And Electron Impact, J. Gavin, O. G. De Lucio, Robert D. Dubois

Physics Faculty Research & Creative Works

By establishing coincidences between target ions and scattered projectiles, and coincidences between target ions, scattered projectiles, and ejected electrons, triply differential cross-section (TDCS) information was generated in terms of projectile energy loss and scattering angles for interactions between 1-keV positrons and electrons and Ar atoms. The conversion of the raw experimental information to the TDCS is discussed. The single-ionization TDCS exhibits two distinguishable regions (lobes) where binary and recoil interactions can be described by two peaks. A comparison of the positron and electron impact data shows that the relative intensity of both binary and recoil interactions decreases exponentially as a …

Energy-Efficient Multi-Core Scheduling For Real-Time Dag Tasks, Zhishan Guo, Ashikahmed Bhuiyan, Abusayeed Saifullah, Nan Guan, Haoyi Xiong

Computer Science Faculty Research & Creative Works

In this work, we study energy-aware real-time scheduling of a set of sporadic Directed Acyclic Graph (DAG) tasks with implicit deadlines. While meeting all real-time constraints, we try to identify the best task allocation and execution pattern such that the average power consumption of the whole platform is minimized. To the best of our knowledge, this is the first work that addresses the power consumption issue in scheduling multiple DAG tasks on multi-cores and allows intra-task processor sharing. We first adapt the decomposition-based framework for federated scheduling and propose an energy-sub-optimal scheduler. Then we derive an approximation algorithm to identify …

Raman Spectral Variation For Human Fingernails Of Postmenopausal Women Is Dependent On Fracture Risk And Osteoporosis Status, J. R. Beattie, M. C. Caraher, N. M. Cummins, O. M. O'Driscoll, R. Eastell, S. H. Ralston, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Patients diagnosed with osteoporosis have reported loss of fingernail resilience as the disease progresses. Keratin is the predominant protein in human nail tissue, and its structure has been postulated to be different in fingernails clipped from subjects who have sustained fragility fractures and those who have not, which may offer a window into the donor's bone health. This study was designed to qualify these differences, which may lead to the development of a novel screening tool for fracture risk. Raman spectroscopy was used to measure the fingernails of 633 postmenopausal women who presented at six fracture clinics located across the …

Receiver Function And Gravity Constraints On Crustal Structure And Vertical Movements Of The Upper Mississippi Embayment And Ozark Uplift, Lin Liu, Stephen S. Gao, Kelly H. Liu, Kevin Lee Mickus

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Upper Mississippi Embayment (UME), where the seismically active New Madrid Seismic Zone resides, experienced two phases of subsidence commencing in the Late Precambrian and Cretaceous, respectively. To provide new constraints on models proposed for the mechanisms responsible for the subsidence, we computed and stacked P-to-S receiver functions recorded by 49 USArray and other seismic stations located in the UME and the adjacent Ozark Uplift and modeled Bouguer gravity anomaly data. The inferred thickness, density, and V_p/V_s of the upper and lower crustal layers suggest that the UME is characterized by a mafic and high-density upper crustal …

Flotation Behavior Of Complex Sulfide Ores In The Presence Of Biodegradable Polymeric Depressants, Muhammad Badar Hayat, Lana Z. Alagha, Syed Mohammad Sannan

Mining Engineering Faculty Research & Creative Works

In this study, chitosan polymer was tested as a potential selective green depressant of pyrite in the bulk flotation of galena (PbS) and chalcopyrite (CuFeS₂) from sphalerite (ZnS) and pyrite (FeS₂) using sodium isopropyl xanthate as a collector and 4-methyl-2-pentanol (MIBC) as a frother. Flotation tests were carried out in a D12-Denver flotation laboratory cell in the presence and absence of chitosan and/or sodium cyanide depressant which is commercially used as pyrite depressant in sulfide mineral flotation process. Flotation recoveries and concentrate grades (assay) were studied as a function of polymer concentration and flotation time. It …

Gw170104: Observation Of A 50-Solar-Mass Binary Black Hole Coalescence At Redshift 0.2, Benjamin P. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

We describe the observation of GW170104, a gravitational-wave signal produced by the coalescence of a pair of stellar-mass black holes. The signal was measured on January 4, 2017 at 10 11:58.6 UTC by the twin advanced detectors of the Laser Interferometer Gravitational-Wave Observatory during their second observing run, with a network signal-to-noise ratio of 13 and a false alarm rate less than 1 in 70 000 years. The inferred component black hole masses are 31.2_-6.0^+8.4M⊙ and 19.4_-5.9^+5.3M⊙ (at the 90% credible level). The black hole spins are best constrained through measurement of the effective …

Search For Gravitational Waves From Scorpius X-1 In The First Advanced Ligo Observing Run With A Hidden Markov Model, Benjamin P. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

Results are presented from a semicoherent search for continuous gravitational waves from the brightest low-mass X-ray binary, Scorpius X-1, using data collected during the first Advanced LIGO observing run. The search combines a frequency domain matched filter (Bessel-weighted F-statistic) with a hidden Markov model to track wandering of the neutron star spin frequency. No evidence of gravitational waves is found in the frequency range 60-650 Hz. Frequentist 95% confidence strain upper limits, h₀^95%=4.0 x 10^-25, 8.3 x 10^-25, and 3.0 x 10^-25 for electromagnetically restricted source orientation, unknown polarization, and circular …

Lensing Is Low: Cosmology, Galaxy Formation Or New Physics?, Alexie Leauthaud, Shun Saito, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

We present high signal-to-noise galaxy-galaxy lensing measurements of the Baryon Oscillation Spectroscopic Survey constant mass (CMASS) sample using 250 deg² of weak-lensing data from Canada-France-Hawaii Telescope Lensing Survey and Canada-France-Hawaii Telescope Stripe 82 Survey. We compare this signal with predictions from mock catalogues trained to match observables including the stellar mass function and the projected and twodimensional clustering of CMASS. We show that the clustering of CMASS, together with standard models of the galaxy-halo connection, robustly predicts a lensing signal that is 20-40 per cent larger than observed. Detailed tests show that our results are robust to a variety …

Corrosion Map For Metal Pipes In Coastal Louisiana, Sanjay Tewari

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Transportation agencies often allow metal pipes as an option for cross drains under/along roads and highways. Metal culverts can corrode over time at various rates based on their environmental conditions (e.g., corrosive nature of coastal soils, high water table, and saltwater intrusion).

This project was focused on applying available soil data, such as spatial distribution of soil types and soil characteristics (e.g., pH and conductivity), towards creating a Geographic Information System (GIS) based map to identify corrosion zones in coastal Louisiana. The effect of the soil characteristics (pH and conductivity) was incorporated in to the published corrosion models for calculating …

Missouri S&T Magazine Summer 2017, Missouri S&T Marketing And Communications Department, Miner Alumni Association

Missouri S&T Magazine

No abstract provided.

A Solution To Low Read Rate Problem In Rfid Scattering Networks, Shadi Ebrahimi-Asl, Mohammad Tayeb Ahmad Ghasr, Maciej J. Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

High interference and low read rate have repeatedly been reported by radio frequency identification (RFID) consumers as the main drawback of passive RFID technology. We investigate a solution to this problem by employing low scattering antennas. We propose a new state of scattering state for RFID tags in that tags will switch to low scattering states to suppress their interference to an established and ongoing backscattering link between an RFID reader and a target tag. We evaluate the efficiency of our proposed solution by random deployment of tags in a network of ten antennas. We show that by using our …

Biomaterials For Local, Controlled Drug Delivery To The Injured Spinal Cord, Alexis M. Ziemba, Ryan J. Gilbert

Chemical and Biochemical Engineering Faculty Research & Creative Works

Affecting approximately 17,000 new people each year, spinal cord injury (SCI) is a devastating injury that leads to permanent paraplegia or tetraplegia. Current pharmacological approaches are limited in their ability to ameliorate this injury pathophysiology, as many are not delivered locally, for a sustained duration, or at the correct injury time point. With this review, we aim to communicate the importance of combinatorial biomaterial and pharmacological approaches that target certain aspects of the dynamically changing pathophysiology of SCI. After reviewing the pathophysiology timeline, we present experimental biomaterial approaches to provide local sustained doses of drug. In this review, we present …

Oscillation Criteria For Third-Order Nonlinear Functional Difference Equations With Damping, Martin Bohner, C. Dharuman, R. Srinivasan, Ethiraju Thandapani

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we obtain some new criteria for the oscillation of certain third-order difference equations using comparison principles with a suitable couple of first-order difference equations. The presented results improve and extend the earlier ones. Examples are provided to illustrate the main results.

Autonomous Mobile Sensor Placement In Complex Environments, Novella Bartolini, Tiziana Calamoneri, Stefano Ciavarella, Thomas La Porta, Simone Silvestri

Computer Science Faculty Research & Creative Works

In this article, we address the problem of autonomously deploying mobile sensors in an unknown complex environment. In such a scenario, mobile sensors may encounter obstacles or environmental sources of noise, so that movement and sensing capabilities can be significantly altered and become anisotropic. Any reduction of device capabilities cannot be known prior to their actual deployment, nor can it be predicted. We propose a new algorithm for autonomous sensor movements and positioning, called DOMINO (DeplOyment of Mobile Networks with Obstacles). Unlike traditional approaches, DOMINO explicitly addresses these issues by realizing a grid-based deployment throughout the Area of Interest (AoI) …

Common Treatments And Procedures Used For Fractures Of The Distal Radius And Scaphoid: A Review, Basel A. Khader, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

The distal radius and the scaphoid are the most commonly injured carpal bones among both active adults and the osteoporotic elderly. The purpose of surgical treatment is to restore form and function to the wrist. Depending on the nature of the fracture, either topical procedures or invasive surgery can be applied. This article critiques the treatments currently used for fixation of wrist fractures in order to drive the development of new materials to improve patient outcomes.