Digital Commons Network^™

Classification Of Asia Minor Marbles Based On Crystal Size For Archaeometric Assignment, Ramazan Hacimustafaoğlu, Hakan Elçi̇

Turkish Journal of Earth Sciences

This study was carried out to determine the range of crystal sizes of Asia Minor marbles and to classify the marbles accordingto crystal size. Asia Minor marbles have been used as building stones since ancient times. The literature already includes studies on theircrystal sizes; however, different studies performed on marbles of the same locality have reported different crystal size classes, which hascaused complexity. To eliminate this complexity, this study used multidirectional petrographic analyses on the eight known Asia Minormarbles. Thin sections were photographed under a polarizing microscope, and the crystal sizes of the samples were measured usingcomputerized image analysis. An …

Petrography, Electron Paramagnetic Resonance, Geochemistry, And Sr-C-O Isotope Datafor Provenance Studies Of The Ancient Marmor Iassense In Kıyıkışlacık(Muğla Region), Türkiye, Namik Aysal, Emre Erdem, Nurullah Hani̇lçi̇, Tali̇p Güngör, Si̇nan Öngen, İsak Yilmaz, Fulya Uzun, Davut Laçi̇n, İpek Deni̇z Yildirim

Turkish Journal of Earth Sciences

The Marmor Iassense (Iasos marble, Marmor Carium) banded marbles, produced from the Kızılağaç Formation near thevillage of Kıyıkışlacık, have been favorite marbles from ancient times to the present day with their colors and patterns. During theRoman and Byzantine periods, they were preferred as decorative stones for many important buildings in İstanbul, such as the HagiaSophia, Chora Monastery (Kariye Mosque), and Church of the Holy Apostles, as well as San Vitale in Ravenna and other buildingsthroughout the Mediterranean region. They were used in wall coverings, flooring, columns, and mosaics. These marbles contain redand gray-white alternating folded layers of different thicknesses. They …

Characterization Of Stone Materials From The Roman Caracalla Bath In Ancyra, Zeynep Tanriverdi̇, Ali̇ Akin Akyol, Yusuf Kağan Kadioğlu

Turkish Journal of Earth Sciences

The Roman Caracalla Bath was built during the reign of Roman Emperor Caracalla (circa AD 200). Today it exists only inthe form of wall remnants at the foundation level and functions as an open-air museum. It is located on a mound approximately 2.5-mhigh along Ulus’s Çankırı Street in Ankara. This research paper aims to identify the characterization and implications for provenance ofthe stone materials used in the construction of the bath by using mineralogical, petrographic, and geochemical definitions. The resultsobtained from the stone materials also provide guidance for restoration and reinforcement of the bath. In this study, the 13 stone …

Digital Documentation Of A Byzantine Rock-Carved Structure In Konya:Kiriakon Monastery, Sille, Hasan Bi̇lgehan Maki̇neci̇, İlker Mete Mi̇mi̇roğlu, Esra Yaldiz, Hakan Karabörk

Turkish Journal of Earth Sciences

Digital documentation methods enable the acquisition of viable data to preserve cultural heritage and its accurate transferto future generations. Unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) equipment are technical tools that haveessential functions in the three-dimensional (3D) modeling of structures of historical importance. In the geographic referencing andvisualization of historical structures with their surroundings, UAVs are often used, and for the visualization of the interior spaces ofstructures as a whole, TLS is popular. The Kiriakon Monastery, a rock-carved, cross-in-square, four-supports simple provincial typeof church, and several different structures around it within the borders of Sille in Konya Province …

Multianalytical Characterization Of Byzantine Wall Paintings By Sem-Edx,Μ-Xrd, Raman And Ftir Techniques, Onur Şi̇mşek, Fati̇h Özbaş, Ersi̇n Kaygisiz, Gözem Yaşayan, Gülce Öğrüç Ildiz

Turkish Journal of Earth Sciences

In this study, various analytical methods were employed to examine the mineral based natural pigments in the frescoes of themedieval (9th century) Byzantine church, known today as the Atik Mustafa Pasha Mosque. The techniques include μ-X-ray diffraction(μ-XRD), Raman and Fourier transform infrared (FTIR) spectroscopies, and scanning electron microscopy coupled with energydispersive X-ray spectroscopy (SEM–EDX). The SEM-EDX technique enabled the identification of the chemical element compositionin the studied pieces, while Raman and FTIR spectroscopies, as well as XRD, allowed the identification of mineral phases and mineralbased natural pigments in the paints of the frescoes. Fragments of various colors (red, black, yellow, …

Rocks Used In Polished Stone Axe Production In Eastern Thrace (Türkiye) During Theneolithic Period: A Geochemical, Petrographic, And Geoarchaeological Approach, Ti̇mur Ustaömer, Zeynep Özbey, M. Namik Yalçin, Mehmet Celal Özdoğan, Eylem Özdoğan, İsmai̇l Ozan Çilgin, Abdüssamed Güven

Turkish Journal of Earth Sciences

Twenty-nine Neolithic polished stone axes from various archaeological sites in Eastern Thrace and İstanbul were analyzedin this study using petrographic and geochemical methods to identify their lithologies and locate their source rocks. We found thatvariable rock types, including diabase, siltstone, lava, granite, and serpentinite, were used to produce these stone tools in workshops.The same techniques were applied to samples of potential source rocks from a large area in NW Türkiye to determine the locations ofthe source rocks used to produce the stone axes. Diabase dykes of Şarköy ophiolite were identified as the source rock for the diabasepolished stone axes, the …

Lowell Hardin: Mentor Extraordinaire, Larry L. Murdock, Thomas W. Hertel, Gebisa Ejeta

Purdue University Press Books

Lowell Stewart Hardin (1917–2015), an Indiana farm boy who became an enormously influential international agriculturalist, made the world a better place for the poor and the hungry on this earth. For seventeen years he led the Ford Foundation’s agricultural development efforts, contributing to the Green Revolution. He helped to found and guide international agriculture research centers in Africa, Asia, and Latin America. He inspired others to get involved and opened doors for them. He taught by example, gave others credit, and always stepped back, avoiding the limelight himself. In this volume, twenty-two people who knew him well share stories of …

Coupled Lake-Atmosphere-Land Physics Uncertainties In A Great Lakes Regional Climate Model, William J. Pringle, Chenfu Huang, Pengfei Xue, Jiali Wang, Khachik Sargsyan, Miraj Kayastha, Et. Al.

Michigan Tech Publications

This study develops a surrogate-based method to assess the uncertainty within a convective permitting integrated modeling system of the Great Lakes region, arising from interacting physics parameterizations across the lake, atmosphere, and land surface. Perturbed physics ensembles of the model during the 2018 summer are used to train a neural network surrogate model to predict lake surface temperature (LST) and near-surface air temperature (T2m). Average physics uncertainties are determined to be 1.5°C for LST and T2m over land, and 1.9°C for T2m over lake, but these have significant spatiotemporal variations. We find that atmospheric physics parameterizations alone are the dominant …

Бадхызские Архивы. Том 2, Р. И. Горелова, В. Я. Фет

Open Access Books

Gorelova, RI, Fet V, editors. The Badkhyz Archives, Vol. 2. Huntington, WV: Marshall University Libraries; 2025. 387 p.

This book represents the second volume of the series started in 2021. It compiles memoirs and research information about the unique Badkhyz Natural Reserve, now in Turkmenistan, formerly at the southernmost point of the USSR. Established in 1941, the Reserve—nicknamed a Serengeti of Central Asia— housed many unique and endangered species, with an iconic wild ass, or kulan, preserved only there. The second volume includes unique and otherwise unavailable information about the workers of the Reserve in 1940s-1980s. We continuento publish …

2025 February 20 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Integrating Quantum Computing In High-Frequency Trading: A Project Management Approach, Dhwani Patel, Dhwani Patel

Harrisburg University Dissertations and Theses

This thesis explores the integration of quantum computing in high-frequency trading (HFT) from a project management perspective. As quantum computing emerges as a transformative technology, its potential to revolutionize financial markets, particularly HFT, necessitates structured approaches to manage the associated complexities and risks. Agile methodologies are examined as a solution to bridge the gap between the rapid development cycles of quantum software and the high-speed requirements of trading algorithms. The study employs a qualitative research approach, incorporating expert interviews and literature analysis to identify the challenges and opportunities of implementing quantum computing in HFT. The research reveals that while quantum …

Illinois State University Founding Celebration Program, February 20, 2025, Illinois State University

Founding Celebration Programs

Program for annual event celebrating the founding of Illinois State Normal University on February 18, 1857.

Swift-Bat Guano Follow-Up Of Gravitational-Wave Triggers In The Third Ligo–Virgo–Kagra Observing Run, Gayathri Raman, Samuele Ronchini, James Delaunay, Aaron Tohuvavohu, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Gaukhar Nurbek, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

We present results from a search for X-ray/gamma-ray counterparts of gravitational-wave (GW) candidates from the third observing run (O3) of the LIGO–Virgo–KAGRA network using the Swift Burst Alert Telescope (Swift-BAT). The search includes 636 GW candidates received with low latency, 86 of which have been confirmed by the offline analysis and included in the third cumulative Gravitational-Wave Transient Catalogs (GWTC-3). Targeted searches were carried out on the entire GW sample using the maximum-likelihood Non-imaging Transient Reconstruction and Temporal Search pipeline on the BAT data made available via the GUANO infrastructure. We do not detect any significant electromagnetic emission that is …

Evidence-Based Teaching Interventions For Emergent Multilingual Students In High School Science Classrooms: A Literature Review, Uma Ganesan

Teaching and Learning Faculty Publications

As student populations in the United States grow increasingly linguistically and culturally diverse, asset-oriented pedagogical approaches become essential for leveraging the linguistic talents of multilingual students in science education. This literature review explores evidence-based instructional interventions supporting emergent multilingual learners in deeply engaging with scientific practices and communication in high school science classrooms. The review examined nine peer-reviewed studies published between 2012 and 2023, focusing on instructional strategies for multilingual learners in secondary science education. Findings reveal promising interventions such as the 5E instructional model, think-pair-share discussions, translanguaging techniques, and culturally responsive pedagogy. These approaches, grounded in sociocultural theory and …

Enhancing Diagnostic Accuracy Of Drug-Resistant Tuberculosis On Chest X-Rays Using Data-Efficient Image Transformers, Joan Mnyambo, Amir Aly, Shang-Ming Zhou, Yinghui Wei, Stephen Mullin, Emmanuel Ifeachor

School of Engineering, Computing and Mathematics

Tuberculosis is an infectious disease with increasing fatalities around the world. The diagnosis of the diseaseis a major challenge to its control and management due to the lack of adequate diagnostic tools, contributingsignificantly to the prevalence of drug-resistant tuberculosis. Convolutional Neural Network (CNN) modelshave recently been developed to detect drug-resistant tuberculosis by analyzing chest radiograph images fromthe TB portal, but the classification results are low. This is because CNNs struggle to capture complex globaland overlapping features in medical imaging, such as chest radiographs of drug-resistant tuberculosis. Incontrast, transformers excel in these areas by utilizing self-attention mechanisms that detect inherent subtle …

Generative Adversarial Network For Image Reconstruction From Human Brain Activity., Tim Tanner, Vassilis Cutsuridis

School of Engineering, Computing and Mathematics

Decoding of brain activity with machine learning has enabled the reconstruction of thoughts, memories and dreams. In this study, we designed a methodology for reconstructing visual stimuli (digits) from human brain activity recorded during passive visual viewing. Using the MindBigData EEG dataset, we preprocessed the signals and cleaned them from noise, muscular artifacts and eye blinks. Using the Common Average Reference (CAR) method and past studies’ results we reduced the available electrodes from 14 to 4 keeping only those containing discriminative features associated with the visual stimulus. A convolutional neural network (CNN) was then trained to encode the signals and …

A Comprehensive Survey Of Data-Driven Solutions For Lorawan: Challenges And Future Directions, Poonam Maurya, Abhishek Hazra, Preti Kumari, Troels Bundgaard Sørensen, Sajal K. Das

Computer Science Faculty Research & Creative Works

Long-range Wide-area Network (LoRaWAN) is an innovative and prominent communication protocol in the domain of Low-power Wide-area Networks (LPWAN), known for its ability to provide long-range communication with low energy consumption. However, the practical implementation of the LoRaWAN protocol, operating at the Medium Access Control layer and specially built to work upon the LoRa physical layer, presents numerous research challenges, including network congestion, interference, optimal resource allocation, collisions, scalability, and security. To mitigate these challenges effectively, the adoption of cutting-edge data-driven technologies such as Deep Learning (DL) and Machine Learning (ML) emerges as a promising approach. Interestingly, very few existing …

The Important Role Of Pollinators In Sustainability Education, Bronwen Cowie, Paula Mildenhall

Research outputs 2022 to 2026

In this chapter we illustrate some of the ways the education sector can play a key role, not just in educating and activating students as advocates for and agents of sustainability but also in motivating and mobilising communities towards a sustainability agenda. Initially in this chapter it was important to look back and identify how important bees have been through the ages, noting that humans identified very early on that bees could enhance their lives. We then outline some of the contributions a focus on bees can make to sustainability education. One important contribution includes fostering a balanced perspective on …

Re: Comment Letter For Draft Blacktail Creek Groundwater Hydraulic Control System Preliminary 30% Remedial Design Report (Dated October 28, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Umn Morris Welcomes Distinguished Visiting Professor Moriba Jah, Communications And Marketing

Campus News Archive

No abstract provided.

Access To Arynes From Arenes Via Net Dehydrogenation: Scope, Synthetic Applications And Mechanistic Analysis, Riley A. Roberts, Bryan E. Metze, Nicole Javaly, Theresa M. Mccormick, David R. Stuart

Chemistry Faculty Publications and Presentations

Arynes undergo a wide range of chemical transformations making them versatile reactive intermediates for organic synthesis. Access to arynes has long been dominated by pre-functionalised reagents, e.g., the venerable o-trimethylsilylaryl triflates. However, a move toward developing methods to access arynes that are both mild and efficient has prompted research into aryl “onium” aryne precursors. Here, we leverage aryl “onium” species as in situ or isolated intermediates in a net dehydrogenation of simple arenes as a novel and efficient way to access arynes. We describe a unified strategy in which two different tactics are employed to access diversely substituted …

What Do Utahns Think About Global Warming And Climate Change?, Scott Hotaling, Kendall Becker, Lendel K. Narine, Jessica Ulrich-Schad, Roslynn Mccann, Peter D. Howe

All Current Publications

In Utah, there is widespread consensus that global warming is happening, and the strength of this consensus has been steadily rising since 2010. Over the last 14 years, some public opinion metrics have risen dramatically while others have been largely stable. The degree of climate impacts in Utah will depend on residents’ perceptions of climate change and support for implementing policies to help the state adapt to warmer temperatures, more extreme weather events, and other associated changes. In this fact sheet, we integrate multiple data sources to summarize the status and trends of Utahns’ opinions on climate change.

Coastal And Rural Digital Exclusion - The Case For Voice Ai, Rory Baxter, Oksana Hagen, Amir Aly, Ray Jones, Katharine Willis

School of Nursing and Midwifery

The adoption of digital platforms for health and social resources disadvantages vulnerable populations, including older adults and those living in remote or deprived areas. This could be remediated using voice-based conversational AI (Voice AI) systems delivered via landline phone, bypassing the requirement for digital device access or digital skills. British rural and coastal regions often have poorer digital infrastructure and pockets of deprivation, and consequently higher levels of digital exclusion. This study explores digital exclusion in Southwest England and the suitability of Voice AI systems for supporting digital inclusion. Seventeen participants aged 50 years or over were interviewed by telephone …

Incorporation Of Xai And Deep Learning In Biomedical Imaging: A Review, Sushil K. Singh, Bal Virdee, Saurabh Aggarwal, Abhilash Maroju

Polytechnic Journal

Artificial Intelligence (AI) and Deep Learning (DL) technologies have revolutionized disease detection, particularly in Medical Imaging (MI). While these technologies demonstrate outstanding performance in image classification, their integration into clinical practice remains gradual. A significant challenge lies in the opacity of Deep Neural Network (DNN) models, which provide predictions without explaining their structure. This lack of transparency poses severe issues in the healthcare industry, as trust in automated technologies is critical for doctors, patients, and other stakeholders. Concerns about liability in autonomous car accidents are comparable to those associated with deep learning applications in medical imaging. Errors such as false …

Preface, José Luis Da Silva, Un Cig Ji, Aurel Stan

Journal of Stochastic Analysis

No abstract provided.

Reenvisioning Identities That Precede Us: “Body Acknowledgement” As Social Justice Practice Within A Communication Ethics Course Redesign, Wendy Kz Anderson, Ollivia Webster, Nicole Yang, Cass Bryant, Taylor Herr

Feminist Pedagogy

We infuse this conversation of “body neutrality” through social justice responsiveness (compassion, equity, and accountability of body/presence privilege) by specifically attending to intersections of race, gender, and body mindset built into our identities. In reimagining the term “body-neutrality” through identity engagement, we introduce the term “body acknowledgment” as an active interpretative state. As a co-authored pedagogical “co-conspiring” for racial justice (Houdek and Ore, 2021, p. 92), we (instructor, teaching assistants, and previous students) offered a course redesign centering social justice strategies to address the following question: How can dialogue about intersectional communication work toward redesigning learning with difference and develop …

Ischemia And Anatomy In The New 2024 European Guidelines For Chronic Coronary Syndromes: Update And Comparison Of Recommendations, Christian Adrián Caroli

Journal of the Saudi Heart Association

The new 2024 European guideline on chronic coronary syndromes is a pivotal document for clinical practice, updating the evidence and indications after five years, incorporating insights from the paradigm-shifting ISCHEMIA trial. This article explores the evolving role of functional and anatomical testing in assessing coronary artery disease, highlighting the introduction of a new risk probability score based on clinical and risk factors. Additionally, it provides a detailed comparison between these European recommendations and those from the most influential American guidelines, emphasizing key differences in the approach to risk stratification and diagnostic strategies. This comprehensive analysis provides valuable insights for optimizing …

Quantifying The Role Of Active Listening And Reassurance In Virtual Health Coach Interactions, Ghulam Hussain, Brian Keegan, Robert Ross

Articles

Conversational Agents have the potential to support healthcare through coaching exercise routines, but are still lacking in demonstrating authentic social behaviours to support engagement. To this end, we present a series of experiments that we conducted in order to investigate how automated health care coaches can be more effective when their interaction style is tailored to demonstrate qualities associated with a good bedside manner, namely active listening and reassurance. To test this, we first developed a dataset of 135 dialogue excerpts from three distinct sources, i.e., original, handcrafted and LLMs, the latter two of which were tuned to demonstrate specific …

The Mystery Of Baselevel Controls In The Incision History Of The Central Colorado Plateau, Natalie M. Tanski, Joel L. Pederson, Alan J. Hidy, Tammy M. Rittenour, James P. Mauch

Geosciences Student Research

Erosion can remain active and changing in landscapes long after tectonic drivers have ceased, potentially due to local‐geologic controls, climate changes, or geodynamics. We present new fluvial incision‐ rate histories and terrain analyses of the Colorado River system through the central Colorado Plateau to understand what has caused the variable erosion across this post‐orogenic landscape. Results from new cosmogenic and luminescence dating of fluvial terrace and upland gravel deposits in Glen and Meander Canyons establish incision‐rate histories that are marked by an Early‐Middle Pleistocene erosion hiatus, followed by ∼200 m of rapid incision over the last ∼350 kyr. Projection of …

Factors In Teacher Turnover Within A Nonpublic Special Education Setting, Sarah Wilson

Walden Dissertations and Doctoral Studies

The persistent turnover among special educators poses significant challenges to the quality of education provided to students with disabilities. The problem addressed in this study was the significant rate of turnover of special education teachers in a nonpublic special needs school on the east coast of the United States. Guided by Maslow’s theory of motivation and hierarchy of needs, the purpose of this basic qualitative study was to investigate the experiences of special education teachers and factors that influenced their decision to remain within the classroom environment. Eight special educators participated in semistructured interviews sharing the experiences they perceived as …