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Predicting Oncogenic Mutants Of Epidermal Growth Factor Receptor In Lung Cancer By Molecular Dynamics Simulation With Machine Learning, Victor O. Anyanwu, Justin Spiriti, Chung Wong Sep 2026

Predicting Oncogenic Mutants Of Epidermal Growth Factor Receptor In Lung Cancer By Molecular Dynamics Simulation With Machine Learning, Victor O. Anyanwu, Justin Spiriti, Chung Wong

Chemistry & Biochemistry Faculty Works

The epidermal growth factor receptor (EGFR) is a frequently mutated protein kinase found in patients suffering from non-small cell lung cancer (NSCLC). Although therapeutic drugs targeting EGFR are available, not all patients respond to these drugs, and it is not yet known whether some clinically detected mutations are actionable. Although the oncogenicity of some mutants is well established, many mutants found in patients are not yet classified or classified as Variants of Uncertain Significance. For newly discovered rare mutants, strong evidence supporting their classification into oncogenic or benign is often lacking. Under such situations, multiple pieces of evidence can still …


The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni Sep 2026

The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni

Journal of Tolkien Research

This work proposes a conjectural paleogeographic model linking the Sea of Rhûn, Núrnen and the Dead Marshes to the former Sea of Helcar. Beginning from Christopher Tolkien's suggestion that Rhûn may represent Helcar ``vastly shrunken,'' the study combines textual evidence, the Ambarkanta, Fonstad's cartographic reconstructions, and terrestrial analogues drawn from the evolution of the Paratethys, the Messinian Salinity Crisis and other endorheic basins. Helcar is interpreted not merely as an isolated body of deep water but as the centre of a broader hydrological province subsequently partitioned by relief change, sedimentary infilling, basin isolation and drainage reorganization. Within this model, Rhûn …


Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine Sep 2026

Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine

Military Cyber Affairs

Ransomware represents one of the most disruptive threats in the cyber landscape, yet hands-on malware analysis remains rare in undergraduate cybersecurity curricula. This paper presents the design, implementation, and evaluation of an experiential learning module centered on the WannaCry ransomware case study, deployed in a senior-level course at West Virginia University. Students performed static and dynamic analysis using industry-standard tools. Pre- and post-module assessments demonstrated measurable gains in self-reported competency across seven technical dimensions. The module's competencies align directly with DoD Cyber Workforce Framework Work Role 212, Cyber Defense Forensics Analyst, supporting education-to-workforce pipeline development.


From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder Sep 2026

From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder

Military Cyber Affairs

Federal agencies face a fiscal year 2027 target for enterprise-wide Zero Trust deployment, but NIST SP 800-207A defines logical components without identifying the Kubernetes technologies that implement them. This paper proposes a three-tier mapping of the Policy Engine, Policy Administrator, and Policy Enforcement Point to service mesh, microsegmentation, and perimeter tooling, stating the criteria by which each component is classified. It then applies a defined rubric to six Zero Trust vendors across component alignment, Kubernetes capability, federal authorization posture, and evidence quality, finding that no single vendor covers all three tiers. The mapping is a testable architectural proposition; a Stage …


Raman Spectroscopy Characterisation Of 5c Potency Of Homoeopathic Drugs Nux Vomica, Thuja Occidentalis And Nitricum Acidum, Alfonso Tramontana, Giuseppe Acri, Lucia Denaro, Massimo Mattozzi, Maria Antonietta D'Avanzo, Barbara Testagrossa Sep 2026

Raman Spectroscopy Characterisation Of 5c Potency Of Homoeopathic Drugs Nux Vomica, Thuja Occidentalis And Nitricum Acidum, Alfonso Tramontana, Giuseppe Acri, Lucia Denaro, Massimo Mattozzi, Maria Antonietta D'Avanzo, Barbara Testagrossa

Indian Journal of Research in Homoeopathy

Background: The physicochemical characterisation of homoeopathic medicines remains a challenge. Raman spectroscopy is a promising tool for identifying structural modifications in the solvent matrix and specific vibrational ``fingerprints'' induced by the potentisation process. Objective: This study aimed to characterise three remedies (Nux vomica, Thuja occidentalis, and Nitricum acidum - 5C potencies) using Raman spectroscopy to identify specific vibrational markers and evaluate the technique's ability to differentiate between different preparations within a complex matrix. Materials and methods: The drugs were analysed as crushed granules (solid state) and after dissolution in betamethasone disodium phosphate (liquid state). Raman spectroscopy was …


Simultaneous Analysis Of Phytohormones And Lipid Peroxidation Products In Plant Seeds By Lc-Ms/Ms After Molecular Weight Cutoff Filtration, Sargun Kaur, Honglan Shi, Obed Patty, Paul Ki-Souk Nam Sep 2026

Simultaneous Analysis Of Phytohormones And Lipid Peroxidation Products In Plant Seeds By Lc-Ms/Ms After Molecular Weight Cutoff Filtration, Sargun Kaur, Honglan Shi, Obed Patty, Paul Ki-Souk Nam

Chemistry Faculty Research & Creative Works

Investigation of the phytohormone and lipid peroxidation product levels in plant seeds can provide an insight into their germination potential and vigor. Simultaneous analysis of these diverse classes of compounds presents a significant challenge for a sample preparation method tailored to accommodate their distinct chemical properties. In this study, an analytical method consisting of simple extraction, molecular weight cutoff filtration, and subsequent liquid-chromatography tandem mass spectrometry (LC-MS/MS) analysis was developed for accurate quantification of 11 phytohormones including 2 auxins, 4 cytokinins, 2 gibberellins, abscisic acid, salicylic acid, and jasmonic acid in plant seeds. Additionally, the new method was used for …


Infrared Spectroscopy And Photochemistry Of Aromatic Nitriles In Para-Hydrogen Matrices, Sam Mcgrath, Vincent J. Esposito, Linshan Zeng, Thomas H. Speak, Brendan Moore, Pavle Djuricanin, Jun Miyazaki, Takamasa Momose, Ilsa R. Cooke Sep 2026

Infrared Spectroscopy And Photochemistry Of Aromatic Nitriles In Para-Hydrogen Matrices, Sam Mcgrath, Vincent J. Esposito, Linshan Zeng, Thomas H. Speak, Brendan Moore, Pavle Djuricanin, Jun Miyazaki, Takamasa Momose, Ilsa R. Cooke

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Motivated by recent detections of several aromatic nitriles in Taurus Molecular Cloud 1, we report laboratory and theoretical investigations of the vibrational spectroscopy and photochemistry of singly and doubly cyanosubstituted benzene in solid para-hydrogen matrices. We compare the photochemistry of cyanobenzene (benzonitrile) and three dicyanobenzene isomers initiated by excitations at 193 nm. In addition, we report the photochemistry of deuterated cyanobenzene (d5-cyanobenzene), enabling us to determine the major products produced during the cyanobenzene photodissociation. The major products observed in the photolysis of all the nitriles are HCN and HNC, which are likely produced by hydrogen abstraction from para-hydrogen by the …


Sustainable Development Of National Park Communities In China: Conditions, Challenges, And Implementation Paths, Baorong Huang, Xuetian Hu, Ling Tang, Zhi Wang, Zhi Zhang Sep 2026

Sustainable Development Of National Park Communities In China: Conditions, Challenges, And Implementation Paths, Baorong Huang, Xuetian Hu, Ling Tang, Zhi Wang, Zhi Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Promoting the sustainable development of communities in national parks is essential to the high-quality construction of the world’s largest national park system in China. Drawing on systematic social surveys of communities within national parks and candidate areas, this study outlines the key characteristics of these communities and analyzes their current development status, challenges, and constraints. It proposes a fivefold approach to advancing sustainability. Namely, (1) conceptually, by establishing a theoretical and cognitive framework for human–nature coexistence and overcoming antagonistic perceptions between parks and communities; (2) strategically, by fostering model villages and green development zones led by communities; (3) institutionally, by …


Construction And Application Of Clinical Evidence Framework For Brain-Computer Interface, Wenxiu Qi, Cheng Zhou Sep 2026

Construction And Application Of Clinical Evidence Framework For Brain-Computer Interface, Wenxiu Qi, Cheng Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

Brain-computer interface systems are emerging neurotechnologies that are gradually moving from laboratory research toward clinical application. However, their inherent features, including small sample sizes, heterogeneous technical pathways, and rapid product iteration, make it difficult to integrate safety and efficacy data across studies or to conduct meaningful cross-study comparisons. These challenges not only hinder the cumulative development of evidence in evidence-based medicine, but also complicate the assessment of clinical access and regulatory review. In addition, subjective evidence, such as patient experience, remains insufficiently captured in existing evaluation frameworks. It is therefore necessary to examine the structure of evidence for brain-computer interface …


On-Device Computing Systems For Embodied Ai: Current Research Status And Strategic Directions, Shaoshan Liu, Zhenhua Zhu, Yiming Gan, Yu Wang, Yuan Xie Sep 2026

On-Device Computing Systems For Embodied Ai: Current Research Status And Strategic Directions, Shaoshan Liu, Zhenhua Zhu, Yiming Gan, Yu Wang, Yuan Xie

Bulletin of Chinese Academy of Sciences (Chinese Version)

Embodied AI is emerging as a key paradigm empowering general-purpose autonomy, but it requires on-device computing systems that simultaneously support high-throughput “cognition–planning” tasks and millisecond-level real-time “perception–control” loops. Converging solutions now coalesce around three pillars: (1) dataflow- and chiplet-based architectures, (2) memory-centric heterogeneous dies, and (3) RISC-V customizable cores with open tool-chains. This study distills the latest technical progress, pinpoints the remaining core technical bottlenecks, and charts an actionable course for academia, industry, and policymakers. The study calls for unified benchmarking and standardization, open-source software–hardware ecosystems, memory-centric dataflow architectures, and efficient on-device deployment of embodied foundation models. Finally, it outlines …


Nightside Electron Precipitation Patterns As Observed By Elfin And Cirbe Cubesats, Kun Zhang, Anton V. Artemyev, Xinlin Li, Xiao-Jia Zhang, Vassilis Angelopoulos, Yang Mei, Zheng Xiang, Niklas Grimmich Sep 2026

Nightside Electron Precipitation Patterns As Observed By Elfin And Cirbe Cubesats, Kun Zhang, Anton V. Artemyev, Xinlin Li, Xiao-Jia Zhang, Vassilis Angelopoulos, Yang Mei, Zheng Xiang, Niklas Grimmich

Publications

The rapidly expanding fleet of low-altitude CubeSats equipped with energetic particle detectors brings new opportunities for monitoring the dynamics of the radiation belt and near-Earth plasma sheet. Despite their small sizes, CubeSats can carry state-of-the-art instruments that provide electron flux measurements with finer energy resolution and broader energy coverage, compared to conventional missions such as POES satellites. The recently launched CIRBE CubeSat measures 250–6,000 keV electrons with extremely high energy resolution, however, CIRBE typically only measures locally-trapped electrons and cannot directly measure the precipitating electrons. This work aims to develop a technique for identifying indications of nightside precipitation using the …


Selective Citation: The Systematic Omission Of Established Regional Literature, İrem Eli̇tez Sep 2026

Selective Citation: The Systematic Omission Of Established Regional Literature, İrem Eli̇tez

Turkish Journal of Earth Sciences

No abstract provided.


Integrated Assessment Of Groundwater Quality And Human Health Risks In A Semiarid Region Of Kemaliye (Türkiye), Veli̇ Keski̇n, Celaletti̇n Şi̇mşek Sep 2026

Integrated Assessment Of Groundwater Quality And Human Health Risks In A Semiarid Region Of Kemaliye (Türkiye), Veli̇ Keski̇n, Celaletti̇n Şi̇mşek

Turkish Journal of Earth Sciences

In this study, the hydrochemical characteristics, drinking water suitability, and potential human health risks of groundwater in the Karapınar region (Kemaliye, Erzincan, Türkiye), which has become a critical drinking water resource due to drought associated with climate change and the depletion of surface water resources, were investigated using an integrated multiparameter approach. Within the scope of the study, a total of 18 water samples, comprising 13 spring water samples and 5 groundwater samples obtained from wells, were collected during the dry season (October 2021) and analyzed for major ions, physicochemical parameters, nitrate, and trace elements. The suitability of the samples …


Protocol For Integrating Vessel Networks And Environmental Matching To Inform Cost-Effective Archipelago Biosecurity Planning And Management, Chi T.U. Le, Chad L. Hewitt, Marnie L. Campbell Sep 2026

Protocol For Integrating Vessel Networks And Environmental Matching To Inform Cost-Effective Archipelago Biosecurity Planning And Management, Chi T.U. Le, Chad L. Hewitt, Marnie L. Campbell

Research outputs 2022 to 2026

Inter-island vessel networks support economic activity but also enable secondary spread of non-native species. By integrating vessel-movement data, network analysis, and environmental matching, we present a protocol for generating a cost-effective biosecurity decision-support tool by assessing both the relative economic importance and the relative risks of species spread within a vessel traffic system. We outline steps for data curation, network construction, and sea surface temperature-based environmental similarity calculation. We then detail procedures for the translation of outputs into management recommendations. For complete details on the use and execution of this protocol, please refer to Campbell et al. 1


Signals In The Ionosphere Ahead Of Tsunami Arrival, Svetlana Riabova, Sergey Shalimov Sep 2026

Signals In The Ionosphere Ahead Of Tsunami Arrival, Svetlana Riabova, Sergey Shalimov

Turkish Journal of Earth Sciences

We consider the impact of the tsunami propagating after the earthquake in Tohoku on the ionosphere according to measurements from the Hawaiian Islands, i.e., at a fairly large distance from the epicenter of the earthquake. These measurements, taken at a tidal tsunami monitoring station, at a magnetometric station, and by GPS, were used to record the arrival of the tsunami. We experimentally establish that the arrival of atmospheric waves generated by the tsunami significantly advanced the arrival of sea waves at the observation point, and this advance from one source was recorded in both the lower and upper ionosphere. Attention …


Editorial Note To The Article “Identification Of A Previously Unrecognized Listric Fault Beneath The Acıpayam Graben: Insights From Integrated Dinsar And Field Observations” [Turkish Journal Of Earth Sciences 35 (1) 2026 20-41], Orhan Tatar Sep 2026

Editorial Note To The Article “Identification Of A Previously Unrecognized Listric Fault Beneath The Acıpayam Graben: Insights From Integrated Dinsar And Field Observations” [Turkish Journal Of Earth Sciences 35 (1) 2026 20-41], Orhan Tatar

Turkish Journal of Earth Sciences

No abstract provided.


Possible Fluid Contributions From Active Faults To Mercury Distribution In Surface Sediments Of The Gemlik Gulf And Health Risk Assessment, Erol Sari, M. Namik Çağatay, Tuğçe Nagi̇han Arslan Kaya, Zeynep Çeti̇n, Nuray Çağlar Sep 2026

Possible Fluid Contributions From Active Faults To Mercury Distribution In Surface Sediments Of The Gemlik Gulf And Health Risk Assessment, Erol Sari, M. Namik Çağatay, Tuğçe Nagi̇han Arslan Kaya, Zeynep Çeti̇n, Nuray Çağlar

Turkish Journal of Earth Sciences

The Gemlik Gulf, located in the eastern part of the Sea of Marmara (Türkiye), is recognized as a relatively contaminated marine environment, influenced by a variety of natural and anthropogenic inputs. A comprehensive geochemical study was performed to examine the distribution of total mercury (THg) in surface sediments and to elucidate the possible sources contributing to its accumulation. The analysis revealed that THg concentrations ranged from 485 to 6486 ng/g, with all measured values substantially exceeding the average shale background concentration of 400 ng/g, indicating significant enrichment. According to sediment quality guidelines, none of the samples exceeded the effects range …


Paleoecology Of Loftusia Species (Large Benthic Foraminifera) In The Zagros Basin, North Of The Neotethys, Hossein Ghanbarloo, Amrollah Safari Sep 2026

Paleoecology Of Loftusia Species (Large Benthic Foraminifera) In The Zagros Basin, North Of The Neotethys, Hossein Ghanbarloo, Amrollah Safari

Turkish Journal of Earth Sciences

Paleoecological analyses based on the wall structure of the genus Loftusia were carried out in the Maastrichtian deposits of seven outcrops of the Zagros Basin. Two types of particles are present within the wall structure: (1) tiny fossil grains and (2) detrital grains. Tiny fossil grains consist of smaller foraminifera and other small microorganism tests. Foraminiferal tests are associated with miliolid, textulariid, and rotaliid forms. Detrital grains include intraclasts and extraclasts. The presence of different particles in the test wall of this genus and the abundance of this genus in nutrient-rich conditions indicate that Loftusia are probably opportunistic foraminifera. This …


Neoproterozoic Uranium-Mineralized Sedimentary Rocks From The Kaladgi Basin, Dharwar Craton, Southwestern India: Source And Transport Mechanism Of Uranium, Ponnalagu Govindaraj, Arumugam Shanmugasundaram, Sooriamuthu Ramasamy, Muthusamy Ravichandran Sep 2026

Neoproterozoic Uranium-Mineralized Sedimentary Rocks From The Kaladgi Basin, Dharwar Craton, Southwestern India: Source And Transport Mechanism Of Uranium, Ponnalagu Govindaraj, Arumugam Shanmugasundaram, Sooriamuthu Ramasamy, Muthusamy Ravichandran

Turkish Journal of Earth Sciences

The Kaladgi Basin of the Dharwar Craton, southeast India, hosts Proterozoic unconformity-related uranium (U) mineralization controlled by faulted contacts between Archean basement and Proterozoic cover sediments. To understand the ore-forming processes, 25 core samples from the Cave Temple Arenite were analyzed using whole-rock geochemistry and fluid inclusion microthermometry. U concentrations reach up to 0.13% U3O8 in the basal arenite and lower conglomerate, whereas the basement schist records only 0.0017% U. Whole-rock data reveal high SiO2 contents (72–97 wt.%), variable Al2O3 (0.4–12.9 wt.%), and enrichments in U (0.38–6.63 ppm), Th (1.5–13.7 ppm), and trace elements such as Cu, Pb, and Ni …


Citation Scope And Scientific Relevance In An Event-Based Seismotectonic Study: Reply To The Comment By Elitez On Eski (2026), Semi̇h Eski̇ Sep 2026

Citation Scope And Scientific Relevance In An Event-Based Seismotectonic Study: Reply To The Comment By Elitez On Eski (2026), Semi̇h Eski̇

Turkish Journal of Earth Sciences

No abstract provided.


Statistical Triangulation: Weighing Multiple Statistical Tools In Macro-Level Housing Research, Julio Montanez, Amy Donley, Jacquelyn Reiss Sep 2026

Statistical Triangulation: Weighing Multiple Statistical Tools In Macro-Level Housing Research, Julio Montanez, Amy Donley, Jacquelyn Reiss

Journal of Applied Disciplines

Homelessness and housing research has a detection problem, in which understanding housing issues (e.g., substandard housing) is plagued by problems like undercounting and incomplete data. To partially compensate for these pitfalls, the current research engages in an exercise aiming to sharpen the statistical approach to homelessness and housing research. The macro-level sample included Florida’s 27 Continuums of Care geographies (composed of one or more Florida counties). The dependent variables were sheltered homelessness, energy-based substandard housing, and plumbing-based substandard housing. The independent variables were misdemeanor partner violence rates, felony partner violence rates, high school non-completion rates, urbanicity, and population burdens of …


The Fossil Pearls Of The Million-Pearls Flowstone, Fairgrounds Room, Fort Stanton Cave, New Mexico Usa, Victor J. Polyak, Paula P. Provencio, Yemane Asmerom Sep 2026

The Fossil Pearls Of The Million-Pearls Flowstone, Fairgrounds Room, Fort Stanton Cave, New Mexico Usa, Victor J. Polyak, Paula P. Provencio, Yemane Asmerom

International Journal of Speleology

‘Fossil’ cave pearls in the Fairgrounds Room of Fort Stanton Cave form two distinct layers in a flowstone sample, FS-14-2. The flowstone in the Fairgrounds Room covers a mud-silt bank and the extinct streambed that extends across the room. Uranium-series dates of two pieces of flowstone from this room, one piece from the higher end of the flowstone (FS-14-1, devoid of pearls), and another piece from the lower end of the flowstone (FS-14-2, rich in pearls), show that the flowstone was deposited during the Last Glacial period (60,000 to 11,000 yr BP).  The two cave-pearl layers in FS-14-2 yielded U-series …


Data-Driven Risk Mapping For Safer Roads: Unincorporated Dekalb County, Georgia, Getachew B. Demisse, Stacy C. Grear, Araya D. Araya, Shimelis Gebru, Solomon Negash, Leo Ladefian, Carlo Frate Sep 2026

Data-Driven Risk Mapping For Safer Roads: Unincorporated Dekalb County, Georgia, Getachew B. Demisse, Stacy C. Grear, Araya D. Araya, Shimelis Gebru, Solomon Negash, Leo Ladefian, Carlo Frate

The Geographical Bulletin

This study presents a decade-long spatiotemporal analysis of more than 206,000 traffic accidents recorded between 2015 and 2024 in unincorporated DeKalb County, Georgia. The primary goal of the study is to identify critical patterns of roadway risk and inform data‑driven safety interventions. Using crash records from the Georgia Department of Transportation (GDOT) AASHTOWare Safety platform and standardized crash‑rate calculations, the analysis revealed strong temporal regularities, including elevated crash frequencies during afternoon peak hours, Fridays, and seasonal transition periods such as October. Spatial analyses further demonstrate that crashes are highly concentrated along a limited subset of corridors, consistent with High Injury …


A Calibrated And Conformal Deep Learning Framework For Trustworthy Antinuclear Antibody Pattern Recognition With Selective Referral To Experts, Hussein Ali Hussein Al Naffakh, Ahmed Dheyaa Radhi, Raghdah Maytham Hameed, Muntaha Abdullah Reishaan, Fouad A. Majeed, Rozaida Ghazali Sep 2026

A Calibrated And Conformal Deep Learning Framework For Trustworthy Antinuclear Antibody Pattern Recognition With Selective Referral To Experts, Hussein Ali Hussein Al Naffakh, Ahmed Dheyaa Radhi, Raghdah Maytham Hameed, Muntaha Abdullah Reishaan, Fouad A. Majeed, Rozaida Ghazali

Karbala International Journal of Modern Science

Reading antinuclear antibody patterns on human epithelial cells by indirect immunofluorescence is the reference screen for systemic autoimmune rheumatic diseases, but it is slow, subjective, and variable between observers. Deep learning reaches high accuracy on this task, yet most systems return a single prediction without stating how reliable it is, which is unsafe in a diagnostic workflow. This paper presents an intelligent decision support framework built around a single calibrated uncertainty signal. That signal is the control variable for four reliability modules: confidence calibration, conformal prediction, error detection, and selective referral. A feature space out of distribution detector serves as …


Collaborative Research: Influence Of Fault Frictional Healing And Realistic Tectonic Loading Rates On Shallow Subduction Megathrust Locking, Srisharan Shreedharan Sep 2026

Collaborative Research: Influence Of Fault Frictional Healing And Realistic Tectonic Loading Rates On Shallow Subduction Megathrust Locking, Srisharan Shreedharan

Funded Research Records

No abstract provided.


Photochemistry At The Air-Aerosol Interface, Yi Rao Sep 2026

Photochemistry At The Air-Aerosol Interface, Yi Rao

Funded Research Records

No abstract provided.


Exceptional Holography (2025 Renewal, Revised Budget), Oscar Varela Sep 2026

Exceptional Holography (2025 Renewal, Revised Budget), Oscar Varela

Funded Research Records

No abstract provided.


Resilient Ethical Governance By Design: Building Resilience For Future-Ready Smart Cities Against Emerging Technology Disruptions In Public Sector – A Case Study Of Dallas Smart City, Emmanuel Asamoah Asare Sep 2026

Resilient Ethical Governance By Design: Building Resilience For Future-Ready Smart Cities Against Emerging Technology Disruptions In Public Sector – A Case Study Of Dallas Smart City, Emmanuel Asamoah Asare

Doctoral Dissertations and Projects

This dissertation examines how Dallas’s smart city strategic policies foster resilience against disruptions associated with emerging technologies, particularly artificial intelligence and Internet of Things systems. Using a convergent mixed-methods comparative case study, Dallas serves as the primary case, Austin serves as a U.S. municipal comparator, and Barcelona serves as a qualitative benchmark for ethical and trust-centered smart city governance. The study integrates document analysis, broadband and digital equity indicators, stakeholder engagement evidence, and exploratory quantitative comparisons to assess how governance adaptability, preparedness, functionality, equity, and stakeholder trust shape resilience outcomes.

The findings provide partial support for the study’s hypotheses. Dallas …


Comparison Of Gravity Separation And Flotation For Pyrite Recovery From Tailings, Gülay Bulut, Gönül Göksu Gökçe, Dilruba Karamanlı, Oğuzhan Mert Gürkan, Ergin Sarp Zenzirci, Binnur Kırım, Alim Gül Sep 2026

Comparison Of Gravity Separation And Flotation For Pyrite Recovery From Tailings, Gülay Bulut, Gönül Göksu Gökçe, Dilruba Karamanlı, Oğuzhan Mert Gürkan, Ergin Sarp Zenzirci, Binnur Kırım, Alim Gül

Journal of Sustainable Mining

Tailings generated during the production of lead, zinc, and copper concentrates contain significant amounts of sulfide minerals, particularly pyrite. Pyrite, which remains in tailings after the recovery of other metals, is one of the main contributors to acid mine drainage (AMD). Therefore, recovering pyrite from tailings is environmentally and economically an important issue. In this study, pyrite recovery from tailings was investigated using flotation and gravity separation methods. Mineralogical characterization and liberation analyses were conducted by Mineral Liberation Analysis (MLA), indicating that pyrite is the major sulfide mineral with over 76% liberation degree even in the coarsest fractions. Flotation tests …


Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra Sep 2026

Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra

Doctoral Theses

With the exponential growth of complex data across domains, effective visualization has become increasingly crucial for understanding relationships hidden within high-dimensional spaces. However, existing visualization techniques often struggle to effectively capture and represent such high-dimensional data. Motivated by this challenge, we have developed NeuroDAVIS, a neural network model designed to visualize high-dimensional data by extracting meaningful latent representations through deep feature extraction. While NeuroDAVIS has successfully addressed the visualization aspect, we have soon recognized the necessity of identifying the most relevant features that contribute to the visualization and downstream analysis. To address this issue, we have extended our framework and …