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Articles 391 - 420 of 294537

Full-Text Articles in Physical Sciences and Mathematics

Navigating Text-To-Speech (Tts): Ethical Leadership In The Use Of Generative Ai For Extension, Xue A Dong, Paul A Hill Oct 2026

Navigating Text-To-Speech (Tts): Ethical Leadership In The Use Of Generative Ai For Extension, Xue A Dong, Paul A Hill

Journal of Extension

Text-to-speech (TTS) AI technology transforms written content into natural-sounding speech, offering a useful tool to enhance accessibility and inclusivity in Extension work. This article examines the role of TTS AI in bridging communication gaps, particularly for diverse and multilingual communities, and demonstrates the importance of ethical leadership in its adoption. By prioritizing diversity, equity, and inclusion, Extension professionals can leverage TTS AI to foster greater connection and engagement. Practical applications and examples are provided to guide the integration of TTS AI into programs. The article also offers recommendations for experimenting with innovative technologies to improve educational outcomes and increase the …


Detector Orientation Matters: Consequences For Gravitational-Wave Background Detectability, Nelson Christensen, Joseph D. Romano, Mairi Sakellariadou, Jishnu Suresh Oct 2026

Detector Orientation Matters: Consequences For Gravitational-Wave Background Detectability, Nelson Christensen, Joseph D. Romano, Mairi Sakellariadou, Jishnu Suresh

Physics & Astronomy Faculty Publications

Cross-correlation searches for gravitational-wave backgrounds depend on the geometrical configuration (physical separation and relative orientation) of the detectors comprising the network. Applying standard techniques to a few simple examples, we illustrate how the relative orientation of a pair of Earth-based L-shaped laser interferometers can drastically impact the detectability of both isotropic and anisotropic gravitational-wave backgrounds.


Interrater Reliability Of Software Optimized Movement Assessment With Traditional Methods And Video-Based Functional Movement Screen Scoring And Compensatory Movement Identification, Joshua Paul Verdillo, Nj Ermina, Tanya Mariel Capilla, Russel James Balane, Evriel Prince Apura, Daryl Reymon Apla-On, Ressyl Love Salvador Oct 2026

Interrater Reliability Of Software Optimized Movement Assessment With Traditional Methods And Video-Based Functional Movement Screen Scoring And Compensatory Movement Identification, Joshua Paul Verdillo, Nj Ermina, Tanya Mariel Capilla, Russel James Balane, Evriel Prince Apura, Daryl Reymon Apla-On, Ressyl Love Salvador

Philippine Journal of Physical Therapy

Introduction: The Functional Movement Screen (FMS) is a seven-part movement assessment used to identify injury risks caused by faulty biomechanics. There are three barriers in traditional FMS assessments that could affect the tool’s validity: the subjectivity of human scores that could cause bias, the need for in-person evaluations which limit access for remote patients, and the requirement of specialized training to use the tool, which makes it less accessible. This study investigates the effectiveness of SOMA, an AI-based web application that uses the MediaPipe framework to automatically assess (FMS) performances.

Methods: This study employs a quantitative, cross-sectional, comparative design to …


Identifiability, Sequentiality And Infinity (--Remarks--), Jose L. Menaldi Oct 2026

Identifiability, Sequentiality And Infinity (--Remarks--), Jose L. Menaldi

Mathematics Faculty Research Publications

Two sections are added to my previous article with similar title, in relation to the so-called dynamic logic-error, other complications with modern mathematics and some details on the philosophy behind scene. These remarks could be seen as more details on the axioms of math-arguments and the actual basis-inspiration of the meta-math previously developed. In other words, this `continuation' gives the connection between (meta-)mathematics and the science of the creation-energy.


Beyond Intent: Teacher Capacity, Opportunity To Learn, And The Persistence Of Math Equity Gaps In Tennessee (2000-2025), Soso Dede Oct 2026

Beyond Intent: Teacher Capacity, Opportunity To Learn, And The Persistence Of Math Equity Gaps In Tennessee (2000-2025), Soso Dede

The Journal of the Research Association of Minority Professors

For a quarter-century (2000–2025), Tennessee pursued mathematics reforms aiming for equity, yet stark racial and socioeconomic achievement gaps endure. Framed by Opportunity to Learn (OTL) and Mathematical Knowledge for Teaching (MKT), this study investigates the intersection of equity, teacher capacity, and policy. By synthesizing assessment data, program evaluations, policy documents, and research literature, this study reveals that systemic OTL inequities—disparate access to quality instruction, adequate resources, and teachers possessing strong MKT—are primary drivers of these enduring gaps. Such inequities deny marginalized students a fair chance at mathematical proficiency. The interplay between OTL and MKT is critical: inadequate OTL constrains knowledgeable …


Voltage-Related Power Quality Issues And Impacts On Distribution Networks With Sensitive Loads - A Review, Godwin Elinazi Mnkeni, Jackson Justo, Aviti Thadei Mushi, Bakari M. M. Mwinyiwiwa Oct 2026

Voltage-Related Power Quality Issues And Impacts On Distribution Networks With Sensitive Loads - A Review, Godwin Elinazi Mnkeni, Jackson Justo, Aviti Thadei Mushi, Bakari M. M. Mwinyiwiwa

Tanzania Journal of Engineering and Technology (TJET)

Voltage disturbances are the most important power quality (PQ) complications that customers and power utilities face in this smart era. The growing adoption of sophisticated electronic equipment and integration of renewable energy sources (RES) into power grids has increased the susceptibility of power distribution networks (PDNs) to voltage sags, swells, interruptions, flicker, and voltage imbalance. These disturbances, mainly caused by upstream faults, switching operations, and RES integration, compromise voltage PQ and system reliability. Consequently, they accelerate equipment degradation, increase electronic waste (e-waste), raise reactive power demand and maintenance costs, increase power losses, and impose substantial economic losses on customers and …


Butte Priority Soils Operable Unit Draft Final Unreclaimed Sites Field Sampling And Investigation Plan: Ur-54 – East Of Main And Gagnon, Mike Mcanulty Oct 2026

Butte Priority Soils Operable Unit Draft Final Unreclaimed Sites Field Sampling And Investigation Plan: Ur-54 – East Of Main And Gagnon, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Direct Electrochemical Detection Of Carbaryl In Water Using Boron-Doped Diamond Electrodes, Natasha Fransisca, Chico Permana Putra, Salma Nur Zakiyyah, Muhammad Ihda Hamlu Liwaissunati Zein, Yeni Wahyuni Hartati, Irkham Irkham Oct 2026

Direct Electrochemical Detection Of Carbaryl In Water Using Boron-Doped Diamond Electrodes, Natasha Fransisca, Chico Permana Putra, Salma Nur Zakiyyah, Muhammad Ihda Hamlu Liwaissunati Zein, Yeni Wahyuni Hartati, Irkham Irkham

Chimica et Natura Acta

Carbaryl (1-naphthyl methylcarbamate) is a carbamate pesticide used to cause adverse environmental and health effects when misused through water contamination. Therefore, this research aimed to develop a direct electrochemical detection method for carbaryl in aqueous media using boron-doped diamond (BDD) electrodes. In this context, BDD electrodes exhibited superior electrochemical performance compared to conventional materials such as gold (Au), platinum (Pt), and glassy carbon electrodes (GCE) due to a wide potential window, low background current, and excellent chemical stability. Cyclic and differential pulse voltammetry reported a well-defined oxidation peak for carbaryl at 1.30 V, with significantly enhanced sensitivity. The results showed …


Exact Formulas For Restricted Coprime Representations Of Even Integers, Andres Mauricio Salazar Oct 2026

Exact Formulas For Restricted Coprime Representations Of Even Integers, Andres Mauricio Salazar

Communications on Number Theory and Combinatorial Theory

Let p ≥ 5 be prime, and let g(2n,p) denote the number of unordered representations by positive integers 2n = h + k, with h ≤ k and gcd(h,6p) = gcd(k,6p) = 1. Every positive integer coprime to 6 belongs to exactly one of the families 6z + 1 and 6z + 5. In each family, divisibility by p excludes one explicit residue class of z modulo p. We use these two excluded classes to derive an exact formula for g(2n,p) from finite residue counts and nonnegative lift counts. The formula is valid for every positive integer n, including all …


Radiological And Chemical Safety Assessment Of Drinking Water From Treatment Plants And Rivers In Kut City, Iraq, Ahmed A. Alswaty, Hadi D. Alattabi Oct 2026

Radiological And Chemical Safety Assessment Of Drinking Water From Treatment Plants And Rivers In Kut City, Iraq, Ahmed A. Alswaty, Hadi D. Alattabi

Karbala International Journal of Modern Science

Climate change and increasing anthropogenic activities, particularly wastewater discharge into rivers, have raised pollution levels in the water sources of Kut City, necessitating an assessment of the radiological and chemical safety of drinking water at the city's treatment plants. Thirteen water samples were collected, comprising ten treated and three raw water samples from the source rivers. An HPGe detector was used to measure the radionuclides 214Bi, 214Pb, 212Bi, 212Pb, 40K, and 137Cs. All measured radionuclides were below the minimum detectable activity (MDA). ICP-OES analysis supported these findings, as U concentrations in most samples were …


Statistical Modeling Of Solar Flares During Solar Cycle 24 (2010–2015), Walae Dahmany '28 Oct 2026

Statistical Modeling Of Solar Flares During Solar Cycle 24 (2010–2015), Walae Dahmany '28

Annual Student Research Poster Session

Solar flares are energetic events driven by the rapid release of magnetic energy in the solar atmosphere and are an important source of space-weather disturbances. This study examined six years of solar flare activity during Solar Cycle 24 (2010–2015) using GOES X-ray observations and NOAA solar activity data. Flare frequency and intensity were analyzed alongside sunspot number, F10.7 cm radio flux, solar-cycle phase, Hale magnetic classification, previous flare activity, and waiting times between major flares. Statistical methods, including correlation and regression analyses, Cox proportional hazards modeling, and ARIMAX time-series forecasting, were used to investigate relationships between solar conditions and flare …


Electrical Characterization Of Pvdf–Bzt-Bct Composite Materials For Energy Storage Applications, Aidana Ospanova '28, Pumpkin Nguyen, Kenneth L. Brown, Guangjun Qu Oct 2026

Electrical Characterization Of Pvdf–Bzt-Bct Composite Materials For Energy Storage Applications, Aidana Ospanova '28, Pumpkin Nguyen, Kenneth L. Brown, Guangjun Qu

Annual Student Research Poster Session

This project focused on the synthesis of ceramics and polymer–ceramic composite materials for increasing energy storage density. Over ten weeks, BZT-BCT and CCTO ceramics were synthesized, and more than 50 ceramic and PVDF–ceramic composite samples were prepared with ceramic concentrations ranging from 0.5% to 30% by weight. Different synthesis and film-processing conditions were investigated, including ceramic-to-PVDF ratios, film sizes, temperatures, and hold times. Powder X-ray diffraction (XRD) was used to verify the synthesized ceramic phases. Later in the project, carbon nanotubes (CNTs) and PTFE were incorporated into selected composites, with different CNT concentrations investigated for their effects on energy storage …


(Si17-07) Application Of Triple Laplace Transform To Solve Poisson Equation, Ranjana Gothankar, Bhawna Agrawal Oct 2026

(Si17-07) Application Of Triple Laplace Transform To Solve Poisson Equation, Ranjana Gothankar, Bhawna Agrawal

Applications and Applied Mathematics: An International Journal (AAM)

The well-known Laplace equation, having an elliptical character, is popularly known as the Poisson partial differential equation. It occupies a central place in mathematical physics and engineering due to its ability to describe steady-state diffusion, electrostatics, gravitational potential, and heat conduction problems. The Poisson partial differential equation in three variables is solved by employing the triple Laplace transform in Laplace domain. In original domain, the solutions are obtained numerically using the Brancik technique. The numerous illustrative examples are presented to demonstrate the behavior and sensitivity of the solutions. This dual approach analytical simplification via the triple Laplace transform and accurate …


(Si17-06) Green-Naghdi Theory Of Two-Temperature Fractional Thermoelasticity Under Thermal Shock And Ramp-Type Heating, Sagar Sankeshwari, Vinayak Kulkarni Oct 2026

(Si17-06) Green-Naghdi Theory Of Two-Temperature Fractional Thermoelasticity Under Thermal Shock And Ramp-Type Heating, Sagar Sankeshwari, Vinayak Kulkarni

Applications and Applied Mathematics: An International Journal (AAM)

The linear thermoelasticity theory without energy dissipation developed by Green-Naghdi has been reconstructed by using two temperature theory in the context of a time fractional derivative. In half-space, the mathematical model is discussed for one-dimensional wave propagation subject to two different problems, viz., thermal shock and ramp-type heating at the bounding surface. Assume the bounding surface is traction-free. The analytical solutions are obtained in the Laplace domain. The Gaver-Stehfest technique is numerically used to perform time domain inversion of the Laplace transform, satisfying Kuznetsov’s convergence condition. The impact of fractional order parameters on the variations of various fields inside the …


(Si17-15) On Becker’S Conjecture, Jitender ., Shiv Datt Kumar Oct 2026

(Si17-15) On Becker’S Conjecture, Jitender ., Shiv Datt Kumar

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we explore identities that involve higher-degree versions of widely recognized composition formulae, specifically focusing on expressions of the form

(xk1 + xk2 + · · · + xkr ) · (yk1 + yk2 + · · · + yks ) = (zk1 + zk2 + · · · + zkn),

where k ≥ 2, y = (y1, y2, . . . , ys), x = (x1, x2, . …


(Si17-13) A Study Of Generalized (𝜶,𝜷)-Nonexpansive Type 1 Mapping In 𝒃-Metric Space, M. J. Ali, G. Aggarwal Oct 2026

(Si17-13) A Study Of Generalized (𝜶,𝜷)-Nonexpansive Type 1 Mapping In 𝒃-Metric Space, M. J. Ali, G. Aggarwal

Applications and Applied Mathematics: An International Journal (AAM)

In this research article, we generalized KF-iteration process in 𝑏-metric space for the generalised (𝛼,𝛽)−nonexpansive type 1 mappings. We present some convergence theorems for KF-iteration process with respect to generalised mappings in 𝑏-metric space. We discussed some numerical examples of generalised (𝛼,𝛽)-nonexpansive type 1 mappings and we proved that KF-iteration process is stronger than the other iterations. The results obtained in this research generalize and improve several related results of fixed-point convergence in the literature.


(Si17-05) Properties Of The Fermatean Fuzzy Matrix And Its Applications, Vineet Kumar, Anjana Gupta, H. C. Taneja Oct 2026

(Si17-05) Properties Of The Fermatean Fuzzy Matrix And Its Applications, Vineet Kumar, Anjana Gupta, H. C. Taneja

Applications and Applied Mathematics: An International Journal (AAM)

All real-world problems involve a significant amount of imprecision. To deal with the unpredictable environment, various methods and tools have been introduced. The Fermatean fuzzy matrix (FFM) is one of the important concepts for dealing with imprecision. In this paper, we explore the concept of Fermatean fuzzy matrix and introduce certain significant definitions. Some propositions and theorems of Fermatean fuzzy matrix are introduced with their proofs. The adjoint and determinant methods of Fermatean fuzzy matrices are also introduced. Finally, we have proposed a similarity measure and illustrated it via an application of Fermatean fuzzy matrix in decision-making problems.


(Si17-02) Integrated Mathematical Modeling And Optimization Approaches In Contemporary Engineering And Economic Applications, D. Christo Stalin, Ilakkia S., A. Parameshwari, Sahaya Brainy J., Aman Jolly, Vikas Pandey Oct 2026

(Si17-02) Integrated Mathematical Modeling And Optimization Approaches In Contemporary Engineering And Economic Applications, D. Christo Stalin, Ilakkia S., A. Parameshwari, Sahaya Brainy J., Aman Jolly, Vikas Pandey

Applications and Applied Mathematics: An International Journal (AAM)

This paper offers a calibrated synthesis of integrated modeling and optimization methods central to modern engineering and economic problems.We scrutinize the convergence of numerical methods, operations research, fuzzy-logical systems, and mathematical economics, demonstrating how these components conjointly illuminate complicated, real-world phenomena. Through an exhaustive review of prevailing frameworks, the investigation emphasizes the strategic role of stochastic modeling, queuing architecture, and optimization curricula within the twin arenas of system engineering design and economic construction. Empirical confrontation reveals that the synergistic coupling of distinct mathematical branches exponentially enhances our ability to resolve tightly-knit, largescale systems. Application re-routing is systematically demonstrated first on …


(Si17-16) Approximate Solution Of Fredholm Integral Equations Using Szász-Mirakyan Polynomials, Ruchi S. Rajawat, Shikha Pandey Oct 2026

(Si17-16) Approximate Solution Of Fredholm Integral Equations Using Szász-Mirakyan Polynomials, Ruchi S. Rajawat, Shikha Pandey

Applications and Applied Mathematics: An International Journal (AAM)

This manuscript examines a family of Szász-Mirakyan operators that approximate functions on the unbounded interval [0,∞). Furthermore, we examine the discretization method for Fredholm integral equations of the first and second kind based on Szász-Mirakyan operators.We offer numerical techniques and estimate the error bound of the solution in this direction. Finally, we demonstrate numerical analysis showing the effectiveness of the newly developed algorithm constructions in the domain of one-dimensional approximation.


Heavy-Duty Diesel Vehicle Deterioration: Impact Of Vehicle Age And Emission Control Technology On Nox Emissions - Preprint, Amber L. Gurecki Allen, Andrew R. Colman, Max D. Sommer, William D. Waddoups, Darrell B. Sonntag Oct 2026

Heavy-Duty Diesel Vehicle Deterioration: Impact Of Vehicle Age And Emission Control Technology On Nox Emissions - Preprint, Amber L. Gurecki Allen, Andrew R. Colman, Max D. Sommer, William D. Waddoups, Darrell B. Sonntag

FEAT Publications

Pre-print manuscript.

Abstract

This study examines the effect of aging and deterioration on NOx emissions from heavy-duty diesel trucks (HDDTs) with different emission control technologies, including Engine Control only, exhaust gas recirculation (EGR), and selective catalytic reduction (SCR). In-use tailpipe emissions were measured from 12,023 HDDTs from 13 roadside measurement campaigns conducted in California and Utah between 2008 and 2024. Vehicle registration records and the Environmental Protection Agency’s (EPA) engine certification database were used to identify engine NOx control technology. At younger ages, SCR-equipped HDDTs generally emitted significantly less NOx than non-SCR-equipped HDDTs. However, after several years …


Bridging Theory And Practice: A Data-Driven Community Partnership To Optimize Maintenance Effectiveness, Daniel Wu Oct 2026

Bridging Theory And Practice: A Data-Driven Community Partnership To Optimize Maintenance Effectiveness, Daniel Wu

Academic Affairs

This project established an immersive, industry-engaged learning experience that embedded Data Science students in a professional business environment through a partnership with Thiele Kaolin. Students applied advanced data mining, machine learning, and big data analytics techniques to large proprietary datasets to address authentic business challenges and generate actionable, data-driven insights. By working with complex real-world data, students bridged the gap between classroom theory and industry practice while gaining hands-on experience with the full data science workflow, including data preparation, exploratory analysis, predictive modeling, and results interpretation. The project also fostered critical thinking, teamwork, and professional competencies. Students collaborated in multidisciplinary …


Domain Knowledge-Informed Machine Learning Model To Study Weather-Induced Flight Delays, Gurvir Bawa Oct 2026

Domain Knowledge-Informed Machine Learning Model To Study Weather-Induced Flight Delays, Gurvir Bawa

Doctoral Dissertations and Master's Theses

Weather-induced Traffic Management Initiatives (TMIs) occur rarely relative to normal air traffic operations. This scarcity produces severe class imbalance that limits predictive models of flight delay. To address it, this dissertation leverages a physics- and domain- knowledge informed Variational Autoencoder (VAE), conditioned on airport identity, that generates physically plausible synthetic weather events for underrepresented TMI categories. The fidelity of the model is assessed with a calibrated discrepancy measure disclosed along- side the results rather than described in free-form terms. A multitask Graph Neural Network (GNN) is then trained on the augmented dataset to jointly classify airport-level TMI status and predict …


Ranking Stocks In The S&P 500 And Nasdaq-100 Using An Entropy-Weighted Topsis Method, Hyeseong Oh '27 Oct 2026

Ranking Stocks In The S&P 500 And Nasdaq-100 Using An Entropy-Weighted Topsis Method, Hyeseong Oh '27

Annual Student Research Poster Session

This project ranks stocks in the S&P 500 and NASDAQ-100 using TOPSIS, a multi-criteria decision-making method. Instead of relying on a single financial ratio, each stock is scored on ten indicators covering valuation, profitability, cash flow, leverage, growth, efficiency, volatility, and momentum. Weights are set with the entropy method, which gives more weight to indicators that vary more across stocks, so the weights come from the data rather than personal judgment. TOPSIS then measures how close each stock is to a hypothetical best case and how far it is from a worst case. The S&P 500 is analyzed as two …


Exploring The Localization And Impact Of Nanoconfined Alcohols In The Aot Reverse Micelle Model System, Zoe Green '27, Minjung Lee '27, Gerardo A. Virgen, Nancy E. Levinger Oct 2026

Exploring The Localization And Impact Of Nanoconfined Alcohols In The Aot Reverse Micelle Model System, Zoe Green '27, Minjung Lee '27, Gerardo A. Virgen, Nancy E. Levinger

Annual Student Research Poster Session

Most chemical reactions involving water are studied on the bulk scale despite most biological reactions occurring in nanoscopic environments. To understand the complexities of aqueous chemistry occurring in confined spaces, this study utilizes the aerosol OT (AOT) reverse micelle (RM), a well characterized and widely adopted self-assembled model system to investigate nanoconfined water solutions. We introduced an alcohol and carboxylic acid species as molecular additives and found they fundamentally alter the properties of self-assembled systems, changing their size and stability. This work is the starting point for an in-depth study of different carbon length alcohols and carboxylic acids in nanoconfined …


Ethanol Vs. Acetic Acid In Aerosol Ot Reverse Micelles, Minjung Lee '27, Zoe Green '27, Bridget L. Gourley Oct 2026

Ethanol Vs. Acetic Acid In Aerosol Ot Reverse Micelles, Minjung Lee '27, Zoe Green '27, Bridget L. Gourley

Annual Student Research Poster Session

We explored different behavior of ethanol and acetic acid in reverse micelles by using DLS, Fluorescence, and absorption.


Clark Tailings Consolidated Waste Management Area Site Investigation Quality Assurance Project Plan (Qapp), Woodard & Curran Oct 2026

Clark Tailings Consolidated Waste Management Area Site Investigation Quality Assurance Project Plan (Qapp), Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Computational Study Of Irrational Rotations Via Exact Discontinuity Tracking: A New Experimental Framework, Hannah Kravitz Oct 2026

Computational Study Of Irrational Rotations Via Exact Discontinuity Tracking: A New Experimental Framework, Hannah Kravitz

Mathematics and Statistics Faculty Publications and Presentations

We present an algorithm for studying the sum𝐺𝑁⁡(𝑥,𝜌)=𝑁∑𝑘=1[{𝑥+𝑘⁢𝜌}−12],

which is closely related to the discrepancy of the irrational rotation. Computation of𝐺𝑁and associated statistics is notoriously difficult due to numerical instability and the failure of sampling to capture the discontinuities. Our algorithm instead fully defines𝐺𝑁through its discontinuities, which allows computation of𝐺𝑁⁡(𝑥,𝜌)with errors on the order of𝑁times machine epsilon in𝑂⁡(𝑁)time for practical𝑁. The associated probability density function can then be computed in𝑂⁡(𝑁⁢log⁡𝑁)time. Presented as a tool for experimental mathematics, the algorithm enables reliable plots of the descriptive statistics of𝐺𝑁over𝑁, in particular the length of the support of the pdf (the discrepancy), revealing …


Fisheries Science Update - Pilbara Demersal Scalefish Resource - October 2026, Department Of Primary Industries And Regional Development, Western Australia Oct 2026

Fisheries Science Update - Pilbara Demersal Scalefish Resource - October 2026, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Science Updates

The Department of Primary Industries and Regional Development (DPIRD) monitors the status of Western Australia’s demersal scalefish resources by undertaking periodic stock assessments on key indicator species.

This summary provides key outcomes of the 2026 Pilbara red emperor stock assessment (Resource Assessment Report No. 12).


Resource Assessment Report No. 12: North Coast Demersal Scalefish Resource: Pilbara Red Emperor 2026 Assessment, Fabian I. Trinnie, Rubie Evans-Powell, Brett Crisafulli, S. A. Hesp, Ainslie Denham, Dion Boddington, Craig L. Skepper Oct 2026

Resource Assessment Report No. 12: North Coast Demersal Scalefish Resource: Pilbara Red Emperor 2026 Assessment, Fabian I. Trinnie, Rubie Evans-Powell, Brett Crisafulli, S. A. Hesp, Ainslie Denham, Dion Boddington, Craig L. Skepper

Resource Assessment Reports

Executive Summary

The North Coast Demersal Scalefish Resource (NCDSR) comprises ecological suites of tropical demersal fish species that occur predominantly in inshore (20–250 m deep) and offshore (> 250 m deep) waters of the North Coast Bioregion (NCB). More than 60 demersal species are landed by fisheries operating in the Kimberley and Pilbara regions of the NCB each year, including higher-valued species, such as red emperor (Lutjanus sebae), goldband snapper (Pristipomoides multidens), rankin cod (Epinephelus rankini), and ruby snapper (Etelis boweni), and lower-valued species, such as bluespotted emperor (Lethrinus punctulatus).

The Pilbara Demersal Scalefish Resource (PDSR) is harvested by the …


Online Multidimensional Multiple Choice Knapsack Path Planner For Uavs, Manisha Wadhwa, Neelima Gupta, Sanjay Madria Oct 2026

Online Multidimensional Multiple Choice Knapsack Path Planner For Uavs, Manisha Wadhwa, Neelima Gupta, Sanjay Madria

Computer Science Faculty Research & Creative Works

The rapid proliferation of Unmanned Aerial Vehicles (UAVs) in safety–critical and time-sensitive applications such as disaster management, battlefield reconnaissance, urban surveillance and infrastructure inspection demands online path planning strategies. A fundamental requirement in such missions is generating flight paths that pass through some pre-specified waypoints while servicing dynamically requested spatio-temporal task points arriving randomly such as capturing aerial imagery. Existing UAV path planning approaches, including A* and its variants, meta-heuristic algorithms, and dynamic programming, find the shortest distance path from source to destination, but they are predominantly offline and assume complete prior environmental knowledge, thus, incur significantly higher computational cost …