Digital Commons Network^™

Mobile Devices As An Instructional Tool To Promote Teachers’ Metacognition: Insights From Pakistani Teachers, Zainab Shazadi Javed Ms, Fatima Javed Ms, Mehvish Mufti Ms

The Qualitative Report

The use of mobile phones as an instructional tool by teachers is not yet widespread, and there is a need to enhance the literature on how this experience affects their metacognition. While existing literature focuses on students' experiences, little is known about the experiences of teachers. This qualitative study utilized an interpretative phenomenological analysis approach to examine the experiences of primary and secondary school teachers in Karachi, Pakistan, who used mobile devices for teaching online during the COVID-19 pandemic for at least 12 weeks. Nine participants were interviewed to collect data, and two themes emerged from the research: "Employed Metacognition …

Cross-Core Data Sharing For Energy-Efficient Gpus, Hajar Falahati, Mohammad Sadrosadati, Qiumin Xu, Juan Gómez-Luna, Banafsheh Saber Latibari, Hyeran Jeon, Shaahin Hesaabi, Hamid Sarbazi-Azad, Onur Mutlu, Murali Annavaram, Masoud Pedram

Faculty Research, Scholarly, and Creative Activity

Graphics Processing Units (GPUs) are the accelerator of choice in a variety of application domains, because they can accelerate massively parallel workloads and can be easily programmed using general-purpose programming frameworks such as CUDA and OpenCL. Each Streaming Multiprocessor (SM) contains an L1 data cache (L1D) to exploit the locality in data accesses. L1D misses are costly for GPUs for two reasons. First, L1D misses consume a lot of energy as they need to access the L2 cache (L2) via an on-chip network and the off-chip DRAM in case of L2 misses. Second, L1D misses impose performance overhead if the …

Method Of Selecting The Optimal Variant Of Mine Closure With The Possibility Of Capturing Methane From Underground Excavations, Marian Turek, Małgorzata Magdziarczyk

Journal of Sustainable Mining

The article presents a method of selecting the optimal option for the closure of a coal mine, from which it is planned to capture the methane remaining in the goaf and deposit it for many years for its economic use. Using the example of several options for the closure of one of the mines, for which the evaluation criteria have been defined, and the weights of their relevance have been determined, it is described how to create a special algorithm for the selection of the optimal option.

The Environment Of Glaciovolcanic Caves And Their Value As Planetary Analogues, Christian Stenner, Lee J. Florea, Linda Sobolewski, Andreas Pflitsch, Morgan Cable, Roberto Anitori, Richard E. Davis, Kathleen Graham, Glyn Williams-Jones

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

Emerging Contaminants In Extreme Environments: Microplastics Monitoring In Karst Springs Of Montenegro, Marko Nikolic, Djuradj Milosevic, Ana Manovic, Vladimir Pesic, Melita Mustafic, Dragana Asceric, Milica Nikolic, Dimitrija Savic-Zdravkovic

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

The Ecology Of Chemosynthesis In Submerged Coastal Caves, Robert Scharping, Michael Casso, Isabel Schaal, Paul Henderson, James Garey, Matthew Charette, John Pohlman, Stefan Sievert

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

Euler Archive Spotlight: Ed Sandifer's Influence, Erik Tou

Euleriana

The Euler Archive owes its existence to the work and enthusiasm of C. Edward Sandifer. In this issue, we give a history of Ed's work and influence on the creation and growth of the Euler Archive.

Translating Scientific Latin Texts With Artificial Intelligence: The Works Of Euler And Contemporaries, Sylvio R. Bistafa

Euleriana

The major hindrance in the study of earlier scientific literature is the availability of Latin translations into modern languages. This is particularly true for the works of Euler who authored about 850 manuscripts and wrote a thousand letters and received back almost two thousand more. The translation of many of these manuscripts, books and letters have been published in various sources over the last two centuries, but many more have not yet appeared. Fortunately, nowadays, artificial intelligence (AI) translation can be used to circumvent the challenges of translating such substantial number of texts. To validate this tool, benchmark tests have …

On The Vibration Of Strings: An English Translation Of Leonhard Euler’S `Sur La Vibration Des Cordes' (E140), Reilly R. Fortune

Euleriana

We present an English translation of E140 - 'Sur la Vibration des cordes.'

About The Cases In Which The Formula X^4+Mxxyy+Y^4 Can Be Reduced To A Square, Georg Ehlers

Euleriana

Euler continues a previous study on the title Quartic (E696) with a new approach. His starting point here is the observation that, when the title Quartic is solved for m, the resulting fraction becomes an integer when z=ax^2y^2-(x^2±y^2). He provides many quadratic forms for m that allow special solutions, and tables for |m|≤200. Even though the tables are known today to be incomplete, they allow an insight into the enormous amount of work that was needed for their compilation.

The interest in the title Quartic predates Euler, and the fact that he resumed the study indicates a …

Ed Sandifer: A Running Mathematician And Mathematical Runner, Rick Cleary

Euleriana

Historian of mathematics C. Edward Sandifer was an outstanding marathon runner as well as a first rate mathematician. This note is a review of Prof. Sandifer's athletic successes, and a look at the attributes that he brought to both his professional and running careers.

How Ed Did It - A Memorial Conference To Honor Ed Sandifer, Lawrence D'Antonio

Euleriana

I look back at the virtual conference from February 2023 that was organized to honor the memory of the historian of mathematics Ed Sandifer, who had died in August 2022. The program of the conference is given at the end of the article.

Looking Back And Looking Forward, Christopher Goff, Erik Tou

Euleriana

An introduction to the contents in Issue 2, Volume 4 of Euleriana.

Educational Equivalency Of Raspberry Pi Clusters In High-Performance Computing, Robert F. Houghton

Mountain Plains Journal of Business and Technology

High-performance computing is a difficult subject to teach in an academic setting, given the exorbitant costs and technical difficulties. Raspberry Pi single-board computers have been used in recent years to create clusters that function as mini high-performance computers. The purpose of this research is to evaluate the educational equivalence of building a Raspberry Pi cluster in comparison to running a high-performance computing environment. For this research, an eight-node cluster was built and tested in comparison to a laptop. Through the process of building the cluster, skills learned were documented to evaluate the educational value. This research concludes that the adequacy …

Deep Learning Approach In Melanoma Stage Classification, Frank Lemba Lemba, Clopas Kwenda

African Conference on Information Systems and Technology

Accurate and efficient classification of melanoma stages is crucial for effective treatment planning and improved patient outcomes. Traditional diagnostic methods are often time-consuming and subjective, highlighting the need for advanced computational approaches. This study proposes a self-supervised learning framework combined with a convolutional neural network (CNN) to classify melanoma stages more effectively. Initially, features are extracted from unlabeled skin images using pre-trained VGG16 and ResNet50 models. These features are combined and reduced in dimensionality using Principal Component Analysis (PCA). Subsequently, K-means and DBSCAN clustering is applied to pseudo-label the data, providing a foundation for pre-training a CNN model. This pre-trained …

Towards An Ethical Framework For Artificial Intelligence Applications In Higher Education Teaching And Learning: A Conceptual Paper, Mariam Jacobs-Basadien, Shaun Pather

African Conference on Information Systems and Technology

Artificial Intelligence in Education (AIED) has significant potential in terms of improving the learning and teaching experience. Despite the benefits that AI applications provide, Generative AI (GAI) has catalyzed global attention and fostered concern in the educational domain, especially in relation to ethical issues. The literature on the topic to date points to a need to better understand the parameters of responsible use of GAI in higher education. This is important, since universities are grappling with how this new technology could be appropriately integrated into the practice of teaching and learning as opposed to an initial reaction of concern. Although …

High Mountain Ecosystems And Snow Cover In A Changing Climate: For Better Or For Worse, Philippe Choler

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

Trends From 20 Years Of Artificial Intelligence In Financial Services In Africa, Nthabiseng Moela, Lerato Matlala, Jackie Ma, Dipuo Maphutha, Hossana Twinomurinzi

African Conference on Information Systems and Technology

The need for financial inclusion in Africa, particularly for marginalised groups like women and small businesses, highlights the importance of leveraging Artificial Intelligence (AI). This study provides a bibliometric analysis of AI's integration into African financial services from 2003 to 2023. The key results show a significant increase in AI use, particularly in fraud detection, credit risk prediction, and stock market volatility forecasting, with 49% of the research coming from South Africa, Nigeria, and Tunisia. However, areas like financial development management, inflation control, and gender disparities in loan access remain underexplored. The emphasis has been on the technical implementation of …

Sensitive Electrochemical Sensor Of Levofloxacin Using Boron-Doped Diamond (Bdd) Electrode Modified With Ti3c2tx (Mxene) Material, Prastika Krisma Jiwanti, Indah Harindy Putri, Grandprix T.M. Kadja, Yasuaki Einaga, Laurencia Gabrielle Sutanto, Siti Wafiroh, Dewi Kartika Azizah Sukardi, Anis Puspita Sari, Tahta Amrillah, Ilma Amalina, Qonita Kurnia Anjani, Wan Jeffrey Basirun

Journal of Food and Drug Analysis

Overuse of levofloxacin (LEV) is often associated with bacterial resistance and serious health problems, underscoring the need for reliable sensing and monitoring of LEV molecules. Therefore, this study aimed to investigate LEV using boron-doped diamond (BDD) and boron-doped diamond modified with MXene (Ti₃C₂T_X) (BDD-MXene) electrode. The successful deposition of MXene on the BDD surface was confirmed using scanning electron microscope (SEM). Cyclic voltammetry (CV) and square wave voltammetry (SWV) methods were also applied to evaluate the electrochemical behavior. The results showed that both electrodes had a linear response in the range of 30-100 µM. …

Production And Characterization Of Encapsulated Thymoquinone Loaded Bacterial Cellulose/Chitosan Composite Nano Film And Investigation Of Its In Vitro Antibacterial Activity, Aytul Bayraktar, Tunc Tuba

Journal of Food and Drug Analysis

In this study, nanostructured thin films were produced from thymoquinone (TQ)-loaded composites encapsulated with different ratios of bacterial nanocellulose (BNC) to chitosan (CS). The study aimed to investigate their characterization, antibacterial effects, and potential as drug film coating materials. Chemical features and morphological characteristics were determined, and release tests and antibacterial assays were conducted on the thin film layers. As a result, BNC/CS-thymoquinone composite films obtained at different ratios were found to exhibit the highest antibacterial effect, particularly films with a 70% BNC/CS to 30% thymoquinone ratio, against Salmonella typhimurium bacteria.

2024-2025 Ursinus College Course Catalogue, Office Of The Registrar

Ursinus College Catalogues, 1869-Present

A digital copy of the 2024-2025 Ursinus College Catalog. It contains details of the curriculum, departmental requirements and courses of instruction as well as the Open Questions core requirements, experiential learning and the Common Intellectual Experience (CIE). Academic policies, special opportunities and scholarships, off-campus programs and graduation requirements are also outlined.

Publishing Mathematics Education Research In English: Amplifying Voices From The Field, Lisa Darragh, Karin Brodie, Anjum Halai, Núria Planas, Despina Potari, Manuel Santos-Trigo, Thorsten Scheiner, Janet Walkoe

Office of the Provost

In this paper we investigate the issue of representation within the Journal of Mathematics Teacher Education (JMTE) and the broader academic publishing landscape, particularly focusing on the underrepresentation of authors from various world regions. A questionnaire, distributed globally, aimed to amplify the voices of the underrepresented, exploring the constraints and affordances of publishing in English-medium mathematics education research journals. The question that guided our investigation was: What do voices from the mathematics education community raise in their responses to questions about publishing in English-medium research journals like JMTE? We used qualitative methods to review the responses and identify common themes. …

Some Studies On Mathematical Morphology In Remotely Sensed Data Analysis, Geetika Barman

Doctoral Theses

The application of Mathematical Morphology (MM) techniques has proven to be beneficial in the extraction of shapebased and texture-based features during remote sensing image analysis. The characteristics of these techniques, such as nonlinear adaptability and comprehensive lattice structure, make them useful for contextual spatial feature analysis. Despite the advancements, there are still persistent challenges, including the curse of dimensionality, maintaining spatial correlation, and the adaptability of morphological operators in higher dimensions. The focus of this thesis is to explore the potential of MM-based methods to analyse spatial features in addressing these challenges, specifically in the context of spatialcontextual feature analysis …

Carbon Isotope Budget Indicates Biological Disequilibrium Dominated Ocean Carbon Storage At The Last Glacial Maximum, Anne Willem Omta

Faculty Scholarship

Understanding the causes of the ~90 ppmv atmospheric CO2 swings between glacial and interglacial climates is an important open challenge in paleoclimate research. Although the regularity of the glacial-interglacial cycles hints at a single driving mechanism, Earth System models require many independent physical and biological processes to explain the full observed CO2 signal. Here we show that biologically sequestered carbon in the ocean can explain an atmospheric CO2 change of 75 ± 40 ppmv, based on a mass balance calculation using published carbon isotopic measurements. An analysis of the carbon isotopic signatures of different water masses indicates similar regenerated carbon …

The Relationship Between Secondary Stem Students Motivational Perceptions, Engagement, And Academic Achievement, Cecil Kevin Belt

Student Theses and Dissertations

The purpose of this study was to examine the impact of student perceptions of the classroom motivational climate on engagement and academic achievement in secondary STEM courses. Additionally, the mediating effect of students’ perceptions of the ease of the course on the relationship between engagement and academic achievement was assessed. Through an increased understanding of the relationship between student perceptions of the motivational climate and engagement in a STEM classroom, educators are better equipped to make instructional and curricular decisions to create a more engaging, inclusive, and equitable learning experience, leading to improved academic achievement. The study employed a quantitative …

Predicting Spatiotemporal Patterns Of Productivity And Grazing From Multispectral Data Using Neural Network Analysis Based On System Complexity, Amanda J. Ashworth, A. Avila, H. Smith, T. E. Winzeler, P. Owens, C. Flynn, P. O'Brien, D. Philipp, J. Su

Environmental Dynamics Faculty Publications and Presentations

Remote sensing tools, along with Global Navigation Satellite System cattle collars and digital soil maps, may help elucidate spatiotemporal relationships among soils, terrain, forages, and animals. However, standard computational procedures preclude systems-level evaluations across this continuum due to data inoperability and processing limitations. Deep learning, a subset of neural network, may elucidate efficiency of livestock production and linkages within the livestock-grazing environment. Consequently, we applied deep learning to environmental remote sensing data to (1) develop predictive models for yield and forage nutrition based on vegetation indices and (2) at a pixel-level (per 55 m²), identify how grazing is …

A Systematic Study Of Planetary Envelope Growth With 3d Radiation-Hydrodynamics Simulations, Avery Bailey, James M. Stone, Jeffrey Fung

Physics & Astronomy Faculty Research

In the core accretion model of planet formation, envelope cooling regulates the accretion of material and ultimately sets the time-scale to form a giant planet. Given the diversity of planet-forming environments, opacity uncertainties, and the advective transport of energy by three-dimensional (3D) recycling flows, it is unclear whether one-dimensional models can adequately describe envelope structure and accretion in all regimes. Even in 3D models, it is unclear whether approximate radiative transfer methods sufficiently model envelope cooling, particularly at the planetary photosphere. To address these uncertainties, we present a suite of 3D radiation-hydrodynamics simulations employing methods that directly solve the transfer …

Re: Comment Letter For Draft Bpsou 2023 Site-Wide Surface Water Data Summary Report (Dated May 31, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Enhancing Cardiomyocyte Resilience To Ischemia-Reperfusion Injury: The Therapeutic Potential Of An Indole-Peptide-Tempo Conjugate (Iptc), Shanshan Hou, Xin Yan, Xiang Gao, Steffen Jockusch, K. Michael Gibson, Zhiying Shan, Lanrong Bi

Michigan Tech Publications

Ischemia/reperfusion (I/R) injury leads to apoptosis and extensive cellular and mitochondrial damage, triggered by the early generation and subsequent accumulation of mitochondrial reactive oxygen species (mtROS). This condition not only contributes to the pathology of I/R injury itself but is also implicated in a variety of other diseases, especially within the cardiovascular domain. Addressing mitochondrial oxidative stress thus emerges as a critical therapeutic target. In this context, our study introduces an indole-peptide-tempo conjugate (IPTC), a compound designed with dual functionalities: antioxidative properties and the ability to modulate autophagy. Our findings reveal that IPTC effectively shields H9C2 cardiomyocytes against hypoxia/reoxygenation (H/R) …

2024 September 13 - Board Of Trustees Academic, Research, And Student Success Committee Agenda And Minutes, Board Of Trustees, East Tennessee State University

Board of Trustees Agendas and Minutes

No abstract provided.