Physical Sciences and Mathematics Commons^™

An Assessment Of The Consistency Gap In Developing Countries: A Case Of Zimbabwe’S Ict Regulatory Framework, Casper Chigwedere

African Conference on Information Systems and Technology

An effective Information and Communications Technology (ICT) regulatory system is expected to advance regulatory consistency, independence, pro-competitiveness, consistency, competency, and accountability. These qualities will inspire investor confidence, sectoral growth, and customer satisfaction. Since we considered regulatory independence elsewhere, this paper investigates the level of regulatory consistency in developing countries. This is done using data from Zimbabwe a developing country in Sub-Saharan Africa. The study employs a Qualitative methodology, and Heeks’ (2002) Design Reality Gap (DRG) model under an interpretivist paradigm. Data collection employed in-depth interviews with purposively selected stakeholders and the analysed using Nvivo (release 1.6.1 (1136)) and thematic analysis …

Trumpet Directivity From A Rotating Semicircular Array, Samuel D. Bellows, Joseph E. Avila, Timothy W. Leishman

Directivity

The directivity function of a played musical instrument describes the angular dependence of its acoustic radiation and diffraction about the instrument, musician, and musician’s chair. Directivity influences sound in rehearsal, performance, and recording environments and signals in audio systems. Because high-resolution, spherically comprehensive measurements of played musical instruments have been unavailable in the past, the authors have undertaken research to produce and share such data for studies of musical instruments, simulations of acoustical environments, optimizations of microphone placements, and other applications. The authors acquired the data from repeated chromatic scales produced by a trumpet played at mezzo-forte in an anechoic …

2023 September 14 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Laboratory Project 2 Temporary Surcharge Fill: Compaction Test, I-Hsuan Ho

AI Assignment Library

Using AI to help design a research plan and format an individual lab report for this project and discuss.

Towards Safe Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi Takvor Khatchadourian Ph.D., Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution. We present our ongoing work on automated refactoring that assists developers in specifying whether …

History And Current Status Of Mediterranean Spotted Fever (Msf) In The Crimean Peninsula And Neighboring Regions Along The Black Sea Coast, Muniver T. Gafarova, Marina E. Eremeeva

Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Publications

Mediterranean spotted fever (MSF) is a tick-borne rickettsiosis caused by Rickettsia conorii subspecies conorii and transmitted to humans by Rhipicephalus sanguineus ticks. The disease was first discovered in Tunisia in 1910 and was subsequently reported from other Mediterranean countries. The first cases of MSF in the former Soviet Union were detected in 1936 on the Crimean Peninsula. This review summarizes the historic information and main features of MSF in that region and contemporary surveillance and control efforts for this rickettsiosis. Current data pertinent to the epidemiology of the disease, circulation of the ticks and distribution of animal hosts are discussed …

Final 2023 Butte Priority Soils Operable Unit Helehan Borrow Submittal #1, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Constraining Subtleties Of General Relativity And Quantum Phenomena Of Gravitational Radiation With Gravitational-Wave Observations, Matthew Fowler Carney

Arts & Sciences Electronic Theses and Dissertations

Initial observations of gravitational-waves (GW) from the mergers of compact binaries have further solidified GR as an accurate model of gravity on large scales, as well as provided novel insight into the populations of the compact objects from which they originate. Next-generation detectors such as LISA, Einstein Telescope, and Cosmic Explorer are slated for operation in the next few decades and will bring with them vastly improved sensitivities and orders of magnitude more GW events. It is therefore imperative that model development and characterization of secondary effect---either smaller in magnitude in than current noise levels or too infrequent at current …

Rede Neural Para A Predição De Óbito Utilizando Biomarcadores De Pacientes Em Hemodiálise No Sistema Único De Saúde., Isadora Badalotti-Teloken

AMNET Conferencia Internacional

No abstract provided.

A Low-Complexity Algorithm To Determine Spacecraft Trajectories, Sirani Perera

Math Department Colloquium Series

The growing traffic within the Cislunar region has created a need for computationally effective methods to obtain the trajectories of spacecraft in the Cislunar region. By developing algorithms with low time and arithmetic complexities, we can effectively address these needs.

In this talk, we will present a mathematical model that uses interpolation and boundary conditions to obtain trajectories for satellites based on the principles of three-body dynamics. Following the model, we propose a low- complexity algorithm to generate satellite trajectories. Once the algorithm is proposed, we will apply it to the relevant periodic orbits in the Cislunar region. Finally, we …

Microplastics In Water, Their Effects On The Aquatic Ecosystem And Human Public Health, And The Proposed Solutions, Mohanad Abouserie

The Undergraduate Research Journal

We could be swallowing a credit card's weight in plastic every week. Microplastic water pollution is becoming a threat to both humans and aquatic creatures. In this research, microplastic water contamination is discussed, and divergent solutions are proposed. This paper attempts to investigate the causes and effects of such pollution and analyze the current solutions for this issue. The adopted research method is secondary research, where several studies are explored and analyzed. This study explains numerous causes for this issue like cosmetics, cleaning products, factories, and sewage. Consequently, this contamination can negatively impact the organs and metabolisms of the living …

Managing Fires And Ecosystems Indigenous Fire Ecologies Session_Greenhouse Gas Emissions From Wildland Fires Workshop, Cynthia Twyford Fowler

Faculty Scholarship

No abstract provided.

Should My Next Car Be An Ev?, Lorenzo Cena

Sustainability Research & Practice Seminar Presentations

Sustainability Research & Practice Seminar on "Should My Next Car Be An EV?" by Professor Lorenzo Cena, Environmental Health Program, Department of Public Health Sciences, West Chester University of Pennsylvania.

Revealing Gene Regulation-Based Neural Network Computing In Bacteria, Samitha S. Somathilaka, Sasitharan Balasubramaniam, Daniel P. Martins, Xu Li

School of Computing: Faculty Publications

Bacteria are known to interpret a range of external molecular signals that are crucial for sensing environmental conditions and adapting their behaviors accordingly. These external signals are processed through a multitude of signaling transduction networks that include the gene regulatory network (GRN). From close observation, the GRN resembles and exhibits structural and functional properties that are similar to artificial neural networks. An in-depth analysis of gene expression dynamics further provides a new viewpoint of characterizing the inherited computing properties underlying the GRN of bacteria despite being non-neuronal organisms. In this study, we introduce a model to quantify the gene-to-gene interaction …

From Random To Rational: Improving Enzyme Design Through Electric Fields, Second Coordination Sphere Interactions, And Conformational Dynamics, Shobhit S. Chaturvedi, Daniel Bím, Christo Christov, Anastassia N. Alexandrova

Michigan Tech Publications, Part 2

Enzymes are versatile and efficient biological catalysts that drive numerous cellular processes, motivating the development of enzyme design approaches to tailor catalysts for diverse applications. In this perspective, we investigate the unique properties of natural, evolved, and designed enzymes, recognizing their strengths and shortcomings. We highlight the challenges and limitations of current enzyme design protocols, with a particular focus on their limited consideration of long-range electrostatic and dynamic effects. We then delve deeper into the impact of the protein environment on enzyme catalysis and explore the roles of preorganized electric fields, second coordination sphere interactions, and protein dynamics for enzyme …

Subject: Bnsf And Union Pacific Butte Priority Soils Operating Unit Activity Report - August 2023 Unilateral Administrative Order-Docket No. Cercla 08-2011-0011 Kj 2399019*00, Doug Brannan P.E.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Hydrothermal Carbonization Of Biomass Wastes: Sustainability And Geochemistry, Michael A. Kruge, Teresa A. Centeno, Alvaro Amado-Fierro, José Manuel González-Lafuente, Ruben Forjan-Castro, José Luis Gallego

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Introduction. To reduce the stream of solid waste going to landfills, innovative means for beneficial use are essential. The diversity and volume of organic wastes pose singular problems and opportunities for recovery and circularity. Common processes for organics include conversion to biofuels and carbonization to biochar, typically done by torrefaction (dry pyrolysis). Research on biochar explores its potential as pollutant adsorbent, agricultural or polluted soil amendment, biofuel (directly or as feedstock), and for carbon sequestration (Ighalo et al., 2022; Cavali et al., 2023). Recently, other processes at lower temperatures such as hydrothermal carbonization (HTC) offer new possibilities (Seshadri et al., …

A Novel Fuzzy Relative-Position-Coding Transformer For Breast Cancer Diagnosis Using Ultrasonography, Yanhui Guo, Ruquan Jiang, Xin Gu, Heng-Da Cheng, Harish Garg

Computer Science Faculty and Staff Publications

Breast cancer is a leading cause of death in women worldwide, and early detection is crucial for successful treatment. Computer-aided diagnosis (CAD) systems have been developed to assist doctors in identifying breast cancer on ultrasound images. In this paper, we propose a novel fuzzy relative-position-coding (FRPC) Transformer to classify breast ultrasound (BUS) images for breast cancer diagnosis. The proposed FRPC Transformer utilizes the self-attention mechanism of Transformer networks combined with fuzzy relative-position-coding to capture global and local features of the BUS images. The performance of the proposed method is evaluated on one benchmark dataset and compared with those obtained by …

Energy Extraction From Black Holes By Cosmic Strings, Michael Ramsey

Discovery Day

Cosmic strings, speculative one-dimensional objects, are thought to result from spontaneous, electroweak symmetry-breaking phase transitions in the early universe. If cosmic strings exist, they could extract energy from spinning black holes via the Penrose process. Although theoretically motivated, cosmic strings have not yet been observed. We propose an indirect method of observing a cosmic string by investigating a pulsar-black hole binary system, using high precision observations of pulsars. We then aim to place bounds on cosmic string abundance and tension.

The Role Of Leading-Edge Serrations In Controlling The Flow Over Owls’ Wing, Tanner Saussaman, Asif Nafi, David Charland, Hadar Ben-Gida, Roi Gurka

Physics and Engineering Science

We studied the effects of leading-edge serrations on the flow dynamics developed over an owl wing model. Owls are predatory birds. Most owl species are nocturnal, with some active during the day. The nocturnal ones feature stealth capabilities that are partially attributed to their wing microfeatures. One of these microfeatures is small rigid combs (i.e. serrations) aligned at an angle with respect to the incoming flow located at the wings' leading-edge region of the primaries. These serrations are essentially passive flow control devices that enhance some of the owls' flight characteristics, such as aeroacoustics and, potentially, aerodynamics. We performed a …

Bare-Bones Based Salp Swarm Algorithm For Text Document Clustering, Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh

Machine Learning Faculty Publications

Text Document Clustering (TDC) is a challenging optimization problem in unsupervised machine learning and text mining. The Salp Swarm Algorithm (SSA) has been found to be effective in solving complex optimization problems. However, the SSA’s exploitation phase requires improvement to solve the TDC problem effectively. In this paper, we propose a new approach, known as the Bare-Bones Salp Swarm Algorithm (BBSSA), which leverages Gaussian search equations, inverse hyperbolic cosine control strategies, and greedy selection techniques to create new individuals and guide the population towards solving the TDC problem. We evaluated the performance of the BBSSA on six benchmark datasets from …

Contribution Of Double Diffusion Theories And Thermal Radiation On Three Dimensional Nanofluid Flow Via Optimal Homotopy Analysis Procedure, Muhammad Sohail, Nida Alyas, Muhammad Saqib

International Journal of Emerging Multidisciplinaries: Mathematics

This paper investigated influences of heat radiation and magnetic forces on the movement of a viscous nanofluid along the stretched sheet. For heat and mass transport Cattaneo-Christov fluxes explained thermal and concentration diffusions. By applying the proper transformations, nonlinear partial differential systems can be transformed into ordinary differential systems. The resultant ordinary differential problems are evaluated using the optimal homotopy analysis procedure (OHAP). Additionally, skin friction, heat transport, and mass transport rates are calculated numerically. Diagrams have been created to show how different physical movement conditions affect temperature and concentration profiles. According to our research, temperatures and concentration profiles are …

The Structure Of A Lactobacillus Helveticus Chlorogenic Acid Esterase And The Dynamics Of Its Insertion Domain Provide Insights Into Substrate Binding, Kellie K. Omori, Charles T. Drucker, Tracie L. S. Okumura, Nathaniel B. Carl, Brianna T. Dinn, Destiny Ly, Kylie N. Sacapano, Allie Tajii, Cedric P. Owens

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Chlorogenic acid esterases (ChlEs) are a useful class of enzymes that hydrolyze chlorogenic acid (CGA) into caffeic and quinic acid. ChlEs can break down CGA in foods to improve their sensory properties and release caffeic acid in the digestive system to improve the absorption of bioactive compounds. This work presents the structure, molecular dynamics, and biochemical characterization of a ChlE from Lactobacillus helveticus (Lh). Molecular dynamics simulations suggest that substrate access to the active site of LhChlE is modulated by two hairpin loops above the active site. Docking simulations and mutational analysis suggest that two residues within …

Produção De Artigos Científicos No Estudo Longitudinal De Saúde Do Adulto (Elsa-Brasil), 2011-2023, Arthur Sandi Bauermann, Maria Antônia Mylius De Oliveira, Clara Akemi Basso Aseka, Luiza Dalmolin Beneduzi

AMNET Conferencia Internacional

No abstract provided.

Large Anomalous Hall, Nernst Effect And Topological Phases In The 3d-4d/5d Based Oxide Double Perovskites, Kartik Samanta, Jonathan Noky, Iñigo Robredo, Juergen Kuebler, Maia G. Vergniory, Claudia Felser

Department of Physics and Astronomy: Faculty Publications

Magnetism and spin-orbit coupling are two fundamental and interconnected properties of oxide materials, that can give rise to various topological transport phenomena, including anomalous Hall and anomalous Nernst effects. These transport responses can be significantly enhanced by designing an electronic structure with a large Berry curvature. In this context, rocksalt-ordered double perovskites (DP), denoted as A₂BB’O₆, with two distinct transition metal sites are very powerful platforms for exploration and research. In this work, we present a comprehensive study based on the intrinsic anomalous transport in cubic and tetragonal stable DP compounds with 3d-4d/5d elements. Our findings …

Towards Safe Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi T. Khatchadourian Ph,D,, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged at the expense of run-time performance. Though hybrid approaches aim for the "best of both worlds," using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution. We present our ongoing work on automated refactoring that assists developers in specifying whether …

New Modification Of Homotopy Perturbation Method For Multi-Point Boundary Value Problems, Mubashir Qayyum, Imbsat Oscar, Naveed Imran

International Journal of Emerging Multidisciplinaries: Mathematics

In this paper a modification of homotopy perturbation method (HPM) is proposed for multi-point boundary value problems (BVPs). In this modification, HPM is hybrid with least square (LS) optimizer and named as least square homotpy perturbation method (LSHPM). Proposed method is applied to nonlinear multi-point BVPs and results are compared with HPM. The validity and convergence of the obtained solutions are confirmed by finding residual errors in each case. Analysis reveals that LSHPM is providing much accurate results as compared to HPM and hence can be used for more complex problems.

Butte Priority Soils Operable Unit (Bpsou) Final Insufficiently Reclaimed (Ir) Sites Field Sampling Plan (Fsp) Bres No. 48 – Old Glory West, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Final Insufficiently Reclaimed (Ir) Sites Field Sampling And Investigation Plan (Fsp) Butte Remediation Evaluation System (Bres) No.174 – Buffalo Ditch, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Luminous Radio Emission From The Superluminous Supernova 2017ens At 3.3 Yr After Explosion, Raffaella Margutti, J. S. Bright, D. J. Matthews, D. L. Coppejans, K. D. Alexander, E. Berger, M. Bietenholz, R. Chornock, L. Demarchi, M. R. Drout, T. Eftekhari, W. V. Jacobson-Galán, T. Laskar, D. Milisavljevic, K. Murase, M. Nicholl, C. M. B. Omand, M. Stroh, G. Terreran, B. A. Vanderley

Physics Faculty Publications and Presentations

We present the results from a multiyear radio campaign of the superluminous supernova (SLSN) SN 2017ens, which yielded the earliest radio detection of an SLSN to date at the age of ∼3.3 yr after explosion. SN 2017ens was not detected at radio frequencies in the first ∼300 days but reached L_ν ≈ 10²⁸ erg s⁻¹ cm⁻² Hz⁻¹ at ν ∼ 6 GHz, ∼1250 days post explosion. Interpreting the radio observations in the context of synchrotron radiation from the supernova shock interaction with the circumstellar medium (CSM), we infer an effective mass-loss rate Ṁ ≈ 10 …