Digital Commons Network^™

Embscu, Mariia Khan, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn, Yue Qiu, Yuren Cong

Research Datasets

This dataset was created for the evaluation of the EmbSCU method, suitable for solving the Scene Change Understanding (SCU) task. The SCU task involves predicting a changed location, describing a change, and generating language instructions for the robotic agent to revert a change. Current datasets, related to scene change understanding, can be divided into scene change detection (SCD) and image difference captioning (IDC) datasets. Unlike existing approaches, EmbSCU facilitates simultaneous change detection, description and language-based rearrangement instruction generation for the agent to revert changes. Although the EmbSCU dataset is simulated, it is highly complex, incorporating 104 unique indoor Ai2Thor rooms. …

Saom, Mariia Khan

Research Datasets

The SAOM dataset is created for the evaluation of the whole-object semantic segmentation in embodied AI indoor environments. The SAOM dataset is tailored for segmentation in dynamic embodied environments, focusing on interactable objects. It includes 54 object classes, all of which are either `pickupable’, `openable’, or `receptacles`. Unlike static-object datasets, the objects in SAOM can undergo transformations, such as being opened, closed, or moved.

Ecu-Pmu-Fdi/Tsa, Taylah Griffiths, Mohiuddin Ahmed, Chadni Islam

Research Datasets

Cyberattacks are now targeting the electrical grid due to its inclusion of smart devices, e.g., smart meters, phasor measurement units. The need to understand and review the impacts of attacks is vital. ECU-PMU-FDI/TSA encompasses communications between a phasor measurement unit and a phasor data concentrator, using the IEEE C37.118 protocol. Benign traffic was captured as control, and for attacks false data injection and time synchronization attack traffic were captured.

Streamlining Digital Elevation Model Construction From Historical Aerial Photographs: The Impact Of Reference Elevation Data On Spatial Accuracy, Xin Hong, Christopher H. Roosevelt

All Works

This study proposes a streamlined workflow for producing historical digital elevation models (hDEMs) from scanned 1950s aerial photographs using structure-from-motion and multi-view-stereo (SfM-MVS) techniques along with co-registration methods. We also conducted a sensitivity analysis to assess the impact of DEM references with varying spatial resolutions on the SfM-MVS process and co-registration accuracy. The DEM references included a 30 m SRTM DEM (low resolution), a 12 m TanDEM-X DEM (medium resolution), and a 5 m DEM provided by the General Directorate of Mapping of the Ministry of National Defense, Republic of T & uuml;rkiye (high resolution). Results indicate that higher resolution …

Llm-Driven Apt Detection For 6g Wireless Networks: A Systematic Review And Taxonomy, Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem, Abdulmalik Alwarafy

All Works

Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. However, despite the ultra-low latency, high throughput, and AI-assisted orchestration capabilities they promise, they are vulnerable to stealthy and long-term Advanced Persistent Threats (APTs). Large Language Models (LLMs) stand out as an ideal candidate to fill this gap with their high success in semantic reasoning and threat intelligence. This paper presents the first systematic review and taxonomy for LLM-assisted APT detection in 6G networks. It …

Deep Learning Approaches For Eeg-Based Biometrics: A Systematic Review, Ali E. Albaiati, Muhammad Firdaus Akbar, Murtadha D. Hssayeni, Ashraf Khalil, Mohd Nadhir Ab Wahab, Sundus Sulaiman Weli, Enas A. Raheema

All Works

Biometics such as fingerprint, face, and iris are vulnerable to spoof attacks. The unique characteristics of Electroencephalography (EEG) make it a promising biometric modality especially because of its resistance to spoofing attacks. Many deep learning methods have been proposed for EEG-based biometric systems. This systematic review examines these methods in terms of their feature extraction ability and authentication performance. We follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search IEEE Xplore, PubMed, Web of Science, ScienceDirect, and Springer databases. Initially, we identified 285 relevant articles published between 2018 and 2024. After removing duplicates and applying …

The Neutral Detergent Fiber And The Acid Detergent Fiber Of The Grass Samples Between Small/Frequent And Large/Infrequent Rainfall Treatments In The C3 And C4 Plant Communities., Zigeng Chen, A. Joshua Leffler

NRM Departmental Data Sets

Data description:
Month: Time of data collection from 2020 to 2022.
Plant community: C3 and C4 plant community.
Treatment: small/frequent (S/F) and large/infrequent (L/I) rainfall treatment.
NDF (g/g DM): The dry matter content of neutral detergent fiber in the grass samples.
ADF(g/g DM): The dry matter content of acid detergent fiber in the grass samples. Cellulose (g/g DM): The dry matter content of cellulose in the grass samples.
Lignin (g/g DM): The dry matter content of lignin in the grass samples.

File type: .csv
File size: 16 KB

Kinetic Model Of Glycolysis And Glutaminolysis Interplay Developed In Matlab Simbiology, Zohreh Mirveis, Hugh J. Byrne, Nitin Patil

Datasets

This dataset contains a kinetic model developed in MATLAB SimBiology to simulate the metabolic dynamics of glycolysis and glutaminolysis and their interconnection. The model was used in the study ‘Experimental and computational investigation of the kinetic evolution of the glutaminolysis pathway and its interplay with the glycolysis pathway’ (Mirveis et al., 2024). The dataset includes the original SimBiology project file together with the experimental data used for model training. These resources enable reproduction of the simulations reported in the publication and provide a reusable framework for further computational exploration of metabolic pathway kinetics.

Clea Labs For Planetary Astronomy Bottled For Silicon Macintosh, Yuktha Shetty, Hansika Reddy Bandela, Jack C. Straton

Physics Faculty Publications and Presentations

Project CLEA -- CONTEMPORARY LABORATORY EXPERIENCES IN ASTRONOMY -- develops laboratory exercises that illustrate modern astronomical techniques using digital data and color images.

These Labs were developed for Windows, but the authors have bottled them for Silicon Macintosh computers.

Digital Cognitive Behavioral Therapy Vs Education For Pain In Adults With Sickle Cell Disease, Charles R. Jonassaint, Christina M. Lalama, C. Patrick Carroll, Sherif M. Badawy, Megan E. Hamm, Jennifer N. Stinson, Chitra Lalloo, Santosh L. Saraf, Victor R. Gordeuk, Robert M. Cronin, Nirmish Shah, Sophie M. Lanzkron, Darla Liles, Julia A. O'Brien, Cassandra Trimnell, Lakiea Bailey, Raymona H. Lawrence, Leshana Saint Jean, Michael Debaun, Laura M. De Castro, Tonya M. Palermo, Kaleab Z. Abebe

Department of Medicine Faculty Papers

Despite the burden of chronic pain in sickle cell disease (SCD), nonpharmacological approaches remain limited. This multisite, randomized trial compared digital cognitive behavioral therapy (CBT) with a digital pain/SCD education program ("Education") for managing pain and related symptoms. Participants were recruited virtually from seven SCD centers and community organizations in the United States. Adults (aged ≥18 years) with SCD-related chronic pain and/or daily opioid use were assigned to receive either CBT or Education for 12 weeks. Both groups used an app with interactive chatbot lessons and received personalized health coach support. The primary outcome was the change in pain interference …

Fabrication And Characterisation Of A Flexible Thermoelectric Generator Using Pani/Graphite/Bismuth Telluride Composites, P. A. Yoshitha, Manasa R. Shankar, A. N. Prabhu, Ramakrishna Nayak

Open Access archive

Unique thermoelectric properties of low-cost, widely available conducting polymers and multi-layered graphite structures have motivated the development of flexible thermoelectric generators using screen printing for low-temperature applications. Composites of polyaniline and graphite in different ratios with one weight percentage of bismuth telluride were prepared to fabricate flexible thermoelectric generators. The performance of the devices showed that the addition of graphite to polyaniline reduced the band gap energy from 2.90 to 1.33 eV, which was further reduced to 1.05 eV upon the addition of bismuth telluride. Adding graphite and bismuth telluride to polyaniline increased carrier mobility from 0.12 to 0.41 cm …

Global, Regional, And National Progress Towards The 2030 Global Nutrition Targets And Forecasts To 2050: A Systematic Analysis For The Global Burden Of Disease Study 2021, Michael Benjamin Arndt, Aleksandr Y. Aravkin, Natalia V. Bhattacharjee, Julian Chalek

Open Access archive

Background: The six global nutrition targets (GNTs) related to low birthweight, exclusive breastfeeding, child growth (ie, wasting, stunting, and overweight), and anaemia among females of reproductive age were chosen by the World Health Assembly in 2012 as key indicators of maternal and child health, but there has yet to be a comprehensive report on progress for the period 2012 to 2021. We aimed to evaluate levels, trends, and observed-to-expected progress in prevalence and attributable burden from 2012 to 2021, with prevalence projections to 2050, in 204 countries and territories. Methods: The prevalence and attributable burden of each target indicator were …

Data For: Examining The Impacts Of Demographics, Individual Experiences, And Perceptions On Range Anxiety And Electric Vehicle Road Trips, Joshua Ward, Patrick A. Singleton, Antje Graul, Zane Regan

Browse all Datasets

Electric Vehicle Road Trip Study: These data contain anonymized responses to a survey designed to investigate the experiences, perceptions, barriers, and opportunities identified by electric vehicle (EV) drivers regarding road trips to recreational areas (like national parks) and for recreational activities.

Disparities In Kidney Care In Vulnerable Populations: A Multinational Study From The Isn-Gkha, Robin L. Erickson, Nivedita Kamath, Arpana Iyengar, Adebowale Ademola

Open Access archive

Vulnerable populations, such as the elderly, children, displaced people, and refugees, often encounter challenges in accessing healthcare. In this study, we used data from the third iteration of the International Society of Nephrology Global Kidney Health Atlas (ISN-GKHA) to describe kidney care access and delivery to vulnerable populations across countries and regions. Using data from an international survey of clinicians, policymakers, and patient advocates, we assessed the funding and coverage of vulnerable populations on all aspects of kidney replacement therapies (KRT). Overall, 167 countries or jurisdictions participated in the survey, representing 97.4% of the world’s population. Children had less access …

Tree Rings Reveal Mixtures Of Aspen And Spruce Exhibit Greater Drought Resilience In A Planted Field Experiment, Jéssica Chaves Cardoso, Linhao Wu, Marcel Schneider, Charles A. Nock

Aspen Bibliography

Boreal forests provide a wealth of ecosystem services, many of which are linked to forest productivity. Climate change is expected to increase the frequency, duration, and severity of drought, and undermine the productivity of western boreal forests. Favouring species mixtures has emerged as a potential strategy to increase forest resilience to drought. To test the hypothesis that mixtures of trembling aspen and white spruce were more productive than pure stands because they were more resistant and resilient to drought, we analyzed community and species responses to drought utilizing measurements of annual growth obtained from stem disc samples from a planted …

Evaluations Of Digital Public Health Interventions In The Who Southeast Asia Region: A Systematic Literature Review, Nachiket Gudi, Elstin Anbu Raj, Beate Jahn, Uwe Siebert

Open Access archive

Introduction Digital health technologies have been enhancing the capacity of healthcare providers and, thereby, the delivery of targeted health services. The Southeast Asia Region (SEAR) has invested in strengthening digital public health. Many digital health interventions have been implemented in public health settings but are rarely assessed using the holistic health technology assessment (HTA) approach. Methods A systematic literature review was performed to provide an overview of evaluations of digital public health interventions in the World Health Organization (WHO) SEAR. Searches were conducted on four electronic databases. Screening title abstracts and full texts was independently conducted by two reviewers, followed …

Eefit Surface Rupture Data, Sarah Boulton

Faculty of Science and Engineering Datasets

This dataset is a combined line shapefile composed of: 1) original mapping by Sarah J. Boulton (University of Plymouth) as part of the EEFIT event response effort, and 2) and edited lines sourced from database of Reitman et al. (2023). These published data have been checked for consistency and a significant number of changes made primarily consisting of: a) removal of duplicate lines for the same rupture segment; b) reshaping lines where inconsistent with satellite imagery, and c) removal of lines identified as other non-tectonic features such as shadows, crop marks, tracks etc.

Eefit Landslide Inventory, Joshua N Jones, Sarah Boulton

Faculty of Science and Engineering Datasets

This co-seismic landslide inventory was mapped by Joshua Jones (AECOM) as part of the EEFIT response mission after the 6th February 2023 Karamanmaras Earthquakes and published in Boulton et al. (in review). This is not a full inventory of all features but is supplemental and additional to the published database of Gorum et al. (2023) and should be used along side this more extensive dataset.

Eefit Liquefaction Inventory, Joshua N Jones, Sarah Boulton

Faculty of Science and Engineering Datasets

A co-seismic liquefaction inventory that was mapped by Joshua Jones (AECOM) as part of the EEFIT response mission after the 6th February 2023 Karamanmaras Earthquakes and to be published in Boulton et al. (in review). This is not a full inventory of all features but is supplemental and additional to the published database of Taftsoglu et al. (2023) and should be used along side this more extensive dataset.

Dungeon Plater, Nala Scott

Game Design

No abstract provided.

Owl Game, Finn Brown

Game Design

This is a basic game about flying through some trees in a valley, and flying through hoops.

Grapple Game - Game Development, Alexander Blume

Game Design

A first-person time trial based around a grappling mechanic!

Movement system: https://github.com/DaveGameDevelopment

Gameplay video: https://youtu.be/TqERFundlwk

Cyperus Blepharoleptos Maxent Ecological Niche Models, Samuel A. Schmid, Maxwell G. Gebhart, Gray Turnage

GRI Publications

Invasive species are one of the foremost threats to global biodiversity and predicting where they can inhabit is of primary concern for researchers and resource managers. Ecological niche models (ENMs) are a useful tool for addressing this problem. This study focuses on Cyperus blepharoleptos (Cuban bulrush), an aquatic sedge that is invasive in the southeastern United States. To model the ecological niche of C. blepharoleptos, 1,137 records were compiled from North and South America and partitioned into training and testing data. Five BioClim variables (BIO1, BIO7, BIO12, BIO14, and BIO15) were selected as environmental variables for modeling. Using Maxent, 12 …

Tuning Of The Structural And Electrical Properties Of Thermo-Luminescent Tungsten-Doped Indium Oxide Thin Film, C. Aparna, Pramoda Kumara Shetty, M. G. Mahesha

Open Access archive

This paper aims to synthesize tungsten-doped indium oxide thin film and to study its properties. Films with different tungsten dopant concentrations were deposited using the technique of spray pyrolysis. Raman spectroscopy and X-ray diffraction were used to investigate the structural features. It confirms the polycrystalline cubic structure of W-doped indium oxide. The morphological change observed with doping supports the preferred plane orientation change. Optical properties were studied using UV-visible spectroscopy. The photoluminescence spectra showed both near-band emission (NBE) and violet-blue emission. The suitability of the material for gamma sensing applications was confirmed by thermoluminescence (TL) spectroscopy. The binding energy obtained …

Slime King, Branden Green

Game Design

This is a short video game about a smile king who was removed from his thrown, The game entails you, playing the fallen king, completing levels to reach your thrown. The game is in it's early stages and as such many features aren't yet present. Completion of the game occurs when you reach the throne at the top of the second level.

The Role Of Soft Skills In Dental Education: Challenges And Importance, Murali Venkata Rama Mohan Kodali, Unati Sai Kodali, Srikanth Gadicherla, Komal Smriti

Open Access archive

Soft skills encompass interpersonal abilities and values that enable individuals to adapt to diverse circumstances. In dentistry, a combination of soft and hard skills is crucial for successful practice and for achieving health care organization goals. However, dental schools face significant challenges in teaching and evaluating soft skills, including the subjective nature of assessment, variability in student engagement, and the lack of standardized curricula. The development of ethical and critical thinking skills is essential for students to balance competing interests in the profession while maintaining professionalism, such as dedication, accountability, competence, dependability, and respect for others. Health care professionals, including …

National-Level And State-Level Prevalence Of Overweight And Obesity Among Children, Adolescents, And Adults In The Usa, 1990–2021, And Forecasts Up To 2050, Marie Ng, Xiaochen Dai, Rebecca M. Cogen, Michael Abdelmasseh

Open Access archive

Background: Over the past several decades, the overweight and obesity epidemic in the USA has resulted in a significant health and economic burden. Understanding current trends and future trajectories at both national and state levels is crucial for assessing the success of existing interventions and informing future health policy changes. We estimated the prevalence of overweight and obesity from 1990 to 2021 with forecasts to 2050 for children and adolescents (aged 5–24 years) and adults (aged ≥25 years) at the national level. Additionally, we derived state-specific estimates and projections for older adolescents (aged 15–24 years) and adults for all 50 …

The Burden Of Diseases, Injuries, And Risk Factors By State In The Usa, 1990–2021: A Systematic Analysis For The Global Burden Of Disease Study 2021, Ali H. Mokdad, Catherine Bisignano, Johnathan M. Hsu, Hazim S. Ababneh

Open Access archive

Background: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides a comprehensive assessment of health and risk factor trends at global, regional, national, and subnational levels. This study aims to examine the burden of diseases, injuries, and risk factors in the USA and highlight the disparities in health outcomes across different states. Methods: GBD 2021 analysed trends in mortality, morbidity, and disability for 371 diseases and injuries and 88 risk factors in the USA between 1990 and 2021. We used several metrics to report sources of health and health loss related to specific diseases, injuries, and …

Burden Of Disease Scenarios By State In The Usa, 2022–50: A Forecasting Analysis For The Global Burden Of Disease Study 2021, Ali H. Mokdad, Catherine Bisignano, Johnathan M. Hsu, Dana Bryazka

Open Access archive

Background: The capacity to anticipate future health issues is important for both policy makers and practitioners in the USA, as such insights can facilitate effective planning, investment, and implementation strategies. Forecasting trends in disease and injury burden is not only crucial for policy makers but also garners substantial interest from the general populace and leads to a better-informed public. Through the integration of new data sources, the refinement of methodologies, and the inclusion of additional causes, we have improved our previous forecasting efforts within the scope of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to produce …

Black Grouper (Mycteroperca Bonaci) Neurocranium, Nicholas Burchett, Kelsee Rotering, Marissa Rosas, David Kerstetter, Derek Burkholder

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.