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Articles 301 - 330 of 25721
Full-Text Articles in Entire DC Network
Concentrate_Mycotoxins_2.Ipynb, Yasha Kahn, Lori Nichols, Panduka Nagahawatte
Concentrate_Mycotoxins_2.Ipynb, Yasha Kahn, Lori Nichols, Panduka Nagahawatte
Concentrates
No abstract provided.
Clinical Evaluation Of The Remineralizing Potential Of Biomimetic Scaffolds On Enamel White Spot Lesions: A 12-Month Randomized Controlled Trial, Eman Soliman, Wegdan Abdelfattah, Doaa Ragai M Ahmed, Dina Nagui, Ahmed Holiel
Clinical Evaluation Of The Remineralizing Potential Of Biomimetic Scaffolds On Enamel White Spot Lesions: A 12-Month Randomized Controlled Trial, Eman Soliman, Wegdan Abdelfattah, Doaa Ragai M Ahmed, Dina Nagui, Ahmed Holiel
Dentistry
No abstract provided.
Data And Code From: Migration Speed, Timing, And Long-Term Shifts In Age Structure In North American Passerines During Fall Migration, Dylan M. Osterhaus, Martha J. Desmond, Timothy F. Wright
Data And Code From: Migration Speed, Timing, And Long-Term Shifts In Age Structure In North American Passerines During Fall Migration, Dylan M. Osterhaus, Martha J. Desmond, Timothy F. Wright
Biology: Datasets
No abstract provided.
Supporting Data – T-3 Stream Stage And Streambed Well Data, Mclean County, Il, April 12, 2025 To November 1, 2025, Eric Wade Peterson, Eric Brunner
Supporting Data – T-3 Stream Stage And Streambed Well Data, Mclean County, Il, April 12, 2025 To November 1, 2025, Eric Wade Peterson, Eric Brunner
Faculty Publications - Geography, Geology, and the Environment
Between April 12, 2025, and November 1, 2025, observation wells at the T-3 site in central Illinois were monitored at an upstream and downstream site along the stream. A conductivity, depth, and pressure (CTD) sensor inside each well collected continuous in-situ measurements for the water column height (mm), the water temperature (°C), and the water conductance (mS/cm). The available dataset provides in-situ readings every 15-minutes from seven (7) locations: upstream stream, streambed, and shallow aquifer, downstream stream, streambed, and shallow aquifer, and Well 12, and provides the air temperature.
Samuel Johnson Dictionary, 1755 Edition, Beth Rapp Young
Samuel Johnson Dictionary, 1755 Edition, Beth Rapp Young
Research Data and Datasets
This dataset contains digitized page images from the 1755 first edition of A Dictionary of the English Language, contributed by the University of Florida and Indiana University as part of a digital humanities project led by Beth Rapp Young. The collection provides foundational primary source material for the study of 18th-century English lexicography and supports research in textual analysis, transcription, and historical linguistics.
Psychometric Evaluation Of The Tattoo Attitudes And Motivations Scale: A New Instrument For Medical Tattoo Consultation, Jeffrey E. Cassisi
Psychometric Evaluation Of The Tattoo Attitudes And Motivations Scale: A New Instrument For Medical Tattoo Consultation, Jeffrey E. Cassisi
Research Data and Datasets
Medical tattooing is increasingly used to restore or alter appearance following surgery, injury, or medical treatment, yet brief instruments for assessing patient attitudes and motivations toward tattooing are limited. This study developed and evaluated the Tattoo Attitudes and Motivations Scale (TAMS), a 10-item measure intended for medical tattoo consultation and research. In Study 1, exploratory factor analysis was conducted with 589 adult women from a general population sample. In Study 2, confirmatory factor analysis was conducted with 261 breast cancer survivors. The final scale supported three factors: Self-Enhancement, Negative Attitudes, and Self-Expression. Model fit was good in the clinical sample, …
Dataset: The Impact Of External Resource Use On The Validity Of Score Interpretation For A Biology Concept Assessment Administered Out-Of-Class, Tiffany J. Burgess, Crystal Uminski, Gia Alicea, Brian A. Couch
Dataset: The Impact Of External Resource Use On The Validity Of Score Interpretation For A Biology Concept Assessment Administered Out-Of-Class, Tiffany J. Burgess, Crystal Uminski, Gia Alicea, Brian A. Couch
School of Biological Sciences: Faculty Publications
Instructors use concept assessments to gauge student knowledge and guide course improvement. Many instructors experience time and logistical constraints around administering these assessments in class. For this reason, administering concept assessments outside of class can help increase feasibility. While previous studies have cautioned that the use of external resources (e.g., internet, course notes, peers) in the out-of-class setting may inflate assessment scores, the extent to which undergraduate students access various resources when completing concept assessments is unknown. The current study uses two survey question formats to better understand whether students engage with external resources when taking a biology concept assessment …
Dataset: Participation Versus Points: Examining The Impact Of Grading Conditions On Student Resource Use During An Out-Of-Class Biology Concept Assessment, Tiffany J. Burgess, Crystal Uminski, Brian A. Couch
Dataset: Participation Versus Points: Examining The Impact Of Grading Conditions On Student Resource Use During An Out-Of-Class Biology Concept Assessment, Tiffany J. Burgess, Crystal Uminski, Brian A. Couch
School of Biological Sciences: Faculty Publications
Instructors use concept assessments to collect diagnostic information regarding student learning and to inform decisions surrounding instructional interventions and course modifications. Administering concept assessments out-of-class helps preserve already limited instructional time, but instructors still must consider whether to apply a lower-stakes (i.e., participation) versus higher-stakes (i.e., correctness) grading scheme. An increase in stakes is likely to prompt additional effort, but it may also increase undesired behaviors and inadvertently prompt external resource use, such as students leveraging their notes, the internet, or their peers. In the present study, we compared student self-reported resource use on a biology concept assessment administered under …
Data From: Complete Mitochondrial Genomes Of The Spring Pygmy Sunfish (Elassoma Alabamae), Kayla M. Fast, David Lee Pounders, Mayah P. Peterson, Michael W. Sandel
Data From: Complete Mitochondrial Genomes Of The Spring Pygmy Sunfish (Elassoma Alabamae), Kayla M. Fast, David Lee Pounders, Mayah P. Peterson, Michael W. Sandel
Research Data
The Spring Pygmy Sunfish, Elassoma alabamae (Mayden, 1993), is a small species of sunfish (Centrarchiformes) endemic to tributaries to the middle Tennessee River in north Alabama. Elassoma alabamae is the most geographically restricted member of Elassoma and the only species found above the fall line. This species was twice considered extinct and was listed under the Endangered Species Act (ESA) as threatened in 2013. To date, surveys for this species have been limited to traditional invasive methods using dipnets and seines. In order to reduce impacts on sensitive populations, we sequenced the mitochondrial genome with the intent of developing a …
Blockchain-Based Nostrification: A Privacy-Preserving Framework For Documents Verification, Mohamad Badra, Rouba Borghol
Blockchain-Based Nostrification: A Privacy-Preserving Framework For Documents Verification, Mohamad Badra, Rouba Borghol
All Works
Many employers and institutions will not complete a hire until they verify a candidate's foreign qualifications. This nostrification step exists for a simple reason: they need to know that certificates, medical records, financial papers, and other official documents are real and not forged. For years, signatures and stamps were enough. But the shift to online applications changed the game. Today, anyone can upload a polished PDF, and with basic editing tools, fake documents can be created in minutes. The old system no longer protects anyone. On the other hand, the blockchain offers a stronger and more practical solution. Instead of …
Adaptive Multi-Agent Learning For Infrastructure-Aware Its: The Imer Data-Processing Approach, Mayssa Hamdani, Nafaa Jabeur, Ansar Yasar, Fatma Outay, Li Li
Adaptive Multi-Agent Learning For Infrastructure-Aware Its: The Imer Data-Processing Approach, Mayssa Hamdani, Nafaa Jabeur, Ansar Yasar, Fatma Outay, Li Li
All Works
The performance of Intelligent Transportation Systems (ITS) critically depends on accurate and efficient road-condition monitoring. This paper presents IMER (Inspect–Map–Eliminate–Reduce), a novel AI-driven data-processing framework that extends the traditional Map-Reduce paradigm for infrastructure maintenance. IMER integrates confidence-based validation, redundancy elimination, and severity prioritization to enhance data quality and decision efficiency. Implemented within a multi-agent architecture, IMER enables autonomous agents to inspect, classify, and fuse multi-source road data in real time, supporting predictive and adaptive maintenance planning. Simulation results using augmented pothole datasets demonstrate a 39.9 % reduction in redundant reports and 39.8 % fewer false positives. These findings highlight IMER’s …
Human Factors In Visual Attention: Gender Differences In Engagement With Male-Oriented Ads, Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar, Mohammed Hussain
Human Factors In Visual Attention: Gender Differences In Engagement With Male-Oriented Ads, Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar, Mohammed Hussain
All Works
In today's competitive market, it is increasingly important to understand how visual design shapes customer behaviour. This study examines the decision drivers influencing female customers' purchase choices when buying male-oriented products as gifts, identifying the visual components of advertisements that attract them by analysing the relationship between purchase intention and visual attention. Results show that participants with higher purchase intent focused more on product imagery and branding, indicating that visual appeal, perceived quality, and brand familiarity significantly guide their decisions, with brand awareness speeding up decision-making by reducing the need for repeated visual checks. Conversely, those with low purchase intent …
Exploring The Potential Of Renewable Energy For Sustainable Mobility: A Simulation- Based Study Of Hydrogen Vehicle Penetration In Oman’S Road Network, Siham Farrag, Tarek R. Sheltami, Fatma Outay, Ansar Ul Haque Yasar
Exploring The Potential Of Renewable Energy For Sustainable Mobility: A Simulation- Based Study Of Hydrogen Vehicle Penetration In Oman’S Road Network, Siham Farrag, Tarek R. Sheltami, Fatma Outay, Ansar Ul Haque Yasar
All Works
Hydrogen fuel is gaining attention as a promising zero-emission energy source, aligning with global sustainability goals and supporting the transition to zero carbon emissions. This study examines the potential of using hydrogen as an alternative fuel for sustainable mobility in Muscat, Oman. We developed an integrated modelling framework that combines microscopic traffic simulation, energy demand modeling, refueling infrastructure station’ estimation, and well-to-wheel (WTW) emissions evaluation. A microscopic simulation software (SUMO) was applied to evaluate the penetration rate of hydrogen-powered vehicles (0%, 20%, 40%, 60%) with different hydrogen production pathways. Results indicate that with a 60% penetration of green hydrogen, total …
Smart Health Care Application For Predicting Complications Risk In Type 2 Diabetes Management Using Personalized Digital Twins: A Focus On Early Intervention And Prevention Strategies, Haifaa Alkaabi, Ahed Abugabah
Smart Health Care Application For Predicting Complications Risk In Type 2 Diabetes Management Using Personalized Digital Twins: A Focus On Early Intervention And Prevention Strategies, Haifaa Alkaabi, Ahed Abugabah
All Works
The study examined the application of Personalized Digital Twins (PDTs) to prevent complications during the management of Type 2 Diabetes, especially in early intervention and prevention plans. Based on a high-quality dataset related to the CDC Behavioral Risk Factor Surveillance System (BRFSS) data, we tested multiple predictive models such as the Random Forest, Gradient Boosting machines (GBM), and Extreme Gradient Boosting (XGBoost). We developed a composite risk indicator from established clinical risk factors (hypertension, dyslipidemia, elevated BMI) to stratify complication risk. The Random Forest model achieved 99% accuracy (AUC: 0.98) at the population-level risk classification. The GBM model was optimized …
Modelling Route-Level Interzonal Travel Time Using Gps Trajectories, Muhammad Faiq Ahmed, Tom Bellemans, Fatma Outay, Muhammad Ahmed, Afzal Ahmed, Feng Liu, Muhammad Adnan
Modelling Route-Level Interzonal Travel Time Using Gps Trajectories, Muhammad Faiq Ahmed, Tom Bellemans, Fatma Outay, Muhammad Ahmed, Afzal Ahmed, Feng Liu, Muhammad Adnan
All Works
Activity-based models (ABMs) require accurate travel-time estimates for accessibility calculations, yet many implementations rely on static routing outputs that fail to capture temporal congestion dynamics due to limited high-resolution data. This paper develops route-level travel-speed prediction models using GPS trajectory data from 48 vehicles in Flanders, Belgium. GPS trajectories are integrated with OpenStreetMap and land-use data through destination-based segmentation, in which trips from fixed origins are cumulatively segmented at zone crossings. To capture behavioural differences by trip length, separate Gamma regression models are estimated for short (≤5 km) and long (>5 km) trips using temporal, network, and spatial variables. …
The Deepfake Litmus Test: A Multimedia Authenticity Mechanism, Amna Alzaabi, Hessa Alqubaisi, Fatima Alzaabi, Richard Ikuesan
The Deepfake Litmus Test: A Multimedia Authenticity Mechanism, Amna Alzaabi, Hessa Alqubaisi, Fatima Alzaabi, Richard Ikuesan
All Works
Deepfake technologies have made it increasingly difficult to distinguish authentic video content from manipulated media. This paper presents a forensic detection framework, referred to as the Litmus Test, which focuses on structural analysis of MP4 container files to detect signs of tampering. Unlike conventional AI-based approaches that operate as black boxes, this method examines the atomic composition of video containers to identify anomalies. The proposed method performs atom-level inspection of MP4 file hierarchies and structural markers to uncover anomalies indicative of synthetic manipulation. Evaluations using datasets such as CelebDF, UADFV, and DeeperForensics reveal that the framework can identify inconsistencies common …
The Efficacy Of Travoprost/Timolol In Treating Glaucoma, Yasmin Emam, Sebastian Nieto, Arnav Jain, Chris Rodriguez, Angelia Koppenhoefer
The Efficacy Of Travoprost/Timolol In Treating Glaucoma, Yasmin Emam, Sebastian Nieto, Arnav Jain, Chris Rodriguez, Angelia Koppenhoefer
High Impact Practices Student Showcase Spring 2026
This project focuses on evaluating the effectiveness of DuoTrav, a fixed-combination ophthalmic medication containing Travoprost 0.004% and Timolol 0.5%, in the treatment of open-angle glaucoma and ocular hypertension. The purpose of the researcher's study was to examine how this combination therapy compares to a beta-blocker monotherapy in reducing intraocular pressure (IOP), which is a major risk factor for optic nerve damage and vision loss in glaucoma patients.
Key activities included reviewing the cause of glaucoma, analyzing the design and results of a completed and randomized clinical trial, and applying the findings to clinical practice.
One of the most important things …
Variable Temperature And Moisture Requirements For Germination Within Populations Of Kochia (Bassia Scoparia) In Field Margins, Brian Schutte, Rebecca Creamer
Variable Temperature And Moisture Requirements For Germination Within Populations Of Kochia (Bassia Scoparia) In Field Margins, Brian Schutte, Rebecca Creamer
Entomology, Plant Pathology, & Weed Science: Datasets
No abstract provided.
Integrative Machine Learning Of Genetic And Lifestyle Factors For Personalized Skin Health, Yassine Benachour, Lina Maloukh, Barbara Geusens
Integrative Machine Learning Of Genetic And Lifestyle Factors For Personalized Skin Health, Yassine Benachour, Lina Maloukh, Barbara Geusens
All Works
Objective: To develop an AI framework that combines genetic, phenotypic, and lifestyle data for profiling skin-health patterns and generating hypothesis-supporting summaries for potential decision support. Methods and procedures: A dataset of 5,254 individuals integrates six genes (FLG, AQP3, MMP-1, MMP-3, SOD2, GPX), six phenotype severities, and 20+ lifestyle factors. Mutation burden and interactions are tested by ANOVA. K-modes clustering identifies four interpretable dermatological profiles within the cohort and is embedded in leakage-free nested cross-validation (train-only selection; test labels from training centroids). Subtypes are predicted from genetics plus lifestyle using an XGBoost (XGB) classifier; explainability uses gain, permutation importance, and SHAP …
A Novel Bernstein Operational Matrix Approach For Tempered Fractional Differential Equations: Convergence And Stability Analysis, Jalal Al Hallak, Mohammed Alshbool, Ishak Hashim, Eddie Shahril Ismail, Shaher Momani
A Novel Bernstein Operational Matrix Approach For Tempered Fractional Differential Equations: Convergence And Stability Analysis, Jalal Al Hallak, Mohammed Alshbool, Ishak Hashim, Eddie Shahril Ismail, Shaher Momani
All Works
Tempered fractional differential equations (TFDEs) incorporate exponential decay into fractional operators to account for truncated memory and semi-long-range dependence in a variety of applications, including anomalous diffusion, viscoelasticity, transport phenomena, geophysical processes, and financial dynamics. In this work, a tempered fractional Bernstein method (TFBM) was proposed for the numerical solution of TFDEs involving Caputo-type derivatives. The proposed formulation combined a Bernstein polynomial approximation with an analytic representation of the Caputo–tempered fractional derivative through operational matrices. On this basis, two collocation-based variants were developed, namely, a Chebyshev-type method (TFBM-C) and a Legendre-type method (TFBM-L). For the linear setting, a convergence analysis …
Empirically Evaluating The Accessibility Of A Pon-Enable Feature Diagrams Notation By The Red-Green Colorblind Community, Mohamed El-Attar, Sarah Kohail, Rima Grati
Empirically Evaluating The Accessibility Of A Pon-Enable Feature Diagrams Notation By The Red-Green Colorblind Community, Mohamed El-Attar, Sarah Kohail, Rima Grati
All Works
In 2016, an enhanced version of a feature diagram notation developed using the Physics of Notations (PoN) framework was introduced. Empirical evidence demonstrated that this revised notation was more cognitively effective than the original. However, the new notation relies on color, specifically red, which poses accessibility challenges for individuals with red–green color vision deficiency, as they cannot perceive the notation as originally intended. Consequently, the cognitive effectiveness of a red–green–deficient (RGD) version of the new notation relative to the original notation remained unknown. Although the PoN framework specifies several principles that may be satisfied with or without the use of …
Rumooz Aljareemah: An Intelligent Search System For Uae Criminal Law With Case Correlation Framework For Forensic Investigators, Rahaf Alnuaimi, Maryam Almarzooqi
Rumooz Aljareemah: An Intelligent Search System For Uae Criminal Law With Case Correlation Framework For Forensic Investigators, Rahaf Alnuaimi, Maryam Almarzooqi
All Works
Digital forensic investigations in the UAE encounter dual challenges: effectively correlating data across cases and complying with local legal frameworks. Conventional methods create information silos that hide connections between instances and increase the probability of procedural errors. This paper presents RUMOOZ ALJAREEMAH, a prototype platform for case correlation designed for cybersecurity experts and forensic investigators in the UAE. The approach integrates a correlation engine with a UAE-specific legal compliance framework, using authentication protocols, bilingual assistance, and text-based search algorithms. Our theoretical framework suggests enhancements in investigative efficiency, including reduced case resolution durations, improved identification of cross-case relationships, and a decrease …
Example Imagery Survey Data And Project Files To Test Wisdam Software, Amanda Hodgson, Christophe Cleguer
Example Imagery Survey Data And Project Files To Test Wisdam Software, Amanda Hodgson, Christophe Cleguer
Research Datasets
This example dataset is designed to support our WISDAM (Wildlife Image Survey Detection and Mapping) software—a free, open‑source application (available at www.WISDAMapp.org) created for researchers conducting wildlife imagery surveys. WISDAM enables users to generate data suitable for abundance estimation and spatial modelling from aerial photographic surveys of marine and terrestrial megafauna.
Population Genomics Data For The Temperate Seagrass Posidonia Sinuosa, John Whale, Elizabeth Sinclair, Chanelle Webster, Nicole Said, Ankje Frouws, David Field, Kathryn Mcmahon
Population Genomics Data For The Temperate Seagrass Posidonia Sinuosa, John Whale, Elizabeth Sinclair, Chanelle Webster, Nicole Said, Ankje Frouws, David Field, Kathryn Mcmahon
Research Datasets
Seagrasses are flowering plants commonly found along coastal waters, globally, where they provide important ecosystem services such as habitat provision, sequestering carbon, and sediment stabilization. They can reproduce both clonally and sexually where sexual reproduction can result in new, potentially adaptive, variants and the existence of both reproductive methods means that meadows can be highly variable in clonal diversity. The temperate seagrass, Posidonia sinuosa, occurs across a latitudinal gradient along the Western Australian coastline. Some meadows have experienced significant decline as a result of industrialisation and urbanisation of coastal areas. We investigated spatial genetic diversity, structure, and local adaptation using …
Long Biogeographic Separation Corresponds With Fewer Herbivores On Eastern Asian Plants Introduced To Eastern North America, Robert Warren
Long Biogeographic Separation Corresponds With Fewer Herbivores On Eastern Asian Plants Introduced To Eastern North America, Robert Warren
Biology Faculty Datasets
No abstract provided.
Slm With Swarm Intelligence For Efficient Representation Of Medical Claims, Mohamed Ahmed Abo El-Enen, Ravi S. Sharma, Mustafa Abdulrazek, Amril Nazir, Reem Muhammad, Ahmed Talat Sahlol
Slm With Swarm Intelligence For Efficient Representation Of Medical Claims, Mohamed Ahmed Abo El-Enen, Ravi S. Sharma, Mustafa Abdulrazek, Amril Nazir, Reem Muhammad, Ahmed Talat Sahlol
All Works
Healthcare industry faces significant challenges due to fraudulent medical insurance claims, which result in substantial financial losses. We propose an automated system using domain-specific Small Language Models (SLMs) with a narrower scope and smaller parameter count than general-purpose Large Language Models (LLMs), combined with optimization algorithms to improve fraud detection. Our approach integrates numerical features, such as age and claim amount, with textual descriptions, including diagnoses and procedures, into a unified textual representation for each medical activity. This representation captures complex patterns, enhancing the model’s predictive ability. SLMs fine-tuned on medical corpora transform these textual inputs into fixed-dimensional numerical embeddings, …
Optimized Hybrid Beamforming For Ris-Assisted Multi-User Mimo In 6g Mmwave Networks: A Low-Complexity Approach To Spectral Efficiency And Interference Mitigation, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Thippa Reddy Gadekallu, Hana Mujlid, Hashim Elshafie, Rashid A. Saeed
Optimized Hybrid Beamforming For Ris-Assisted Multi-User Mimo In 6g Mmwave Networks: A Low-Complexity Approach To Spectral Efficiency And Interference Mitigation, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Thippa Reddy Gadekallu, Hana Mujlid, Hashim Elshafie, Rashid A. Saeed
All Works
The joint optimization of hybrid beamforming and reconfigurable intelligent surface (RIS) phase shifts in multi-user millimeter-wave (mmWave) MIMO systems is a challenging problem, mainly due to high computational complexity and the lack of adaptive interference management. Existing approaches typically rely on fixed Zero-Forcing (ZF) or Maximum-Ratio Transmission (MRT) designs or require iterative optimization with high overhead, limiting their practical use in dense 6G environments. To overcome these challenges, this research proposes a RIS-Aided Adaptive Zero-Forcing and Maximum-Ratio Transmission Hybrid Precoding (RA-ZMHP) framework for 6G mmWave multi-user MIMO systems. The main novelty of the method lies in an adaptive ZF–MRT mixing …
Data Repository For The Distribution Of Small Impact Craters Along The Msl Curiosity Rover Traverse In Gale Crater, Mars, Megan E. Hoffman
Data Repository For The Distribution Of Small Impact Craters Along The Msl Curiosity Rover Traverse In Gale Crater, Mars, Megan E. Hoffman
Earth and Planetary Sciences Faculty and Staff Publications
The theoretical limit of the smallest impact crater diameter that can form under current martian atmospheric conditions is approximately 0.25 m, which is near the projected pixel size of the best orbital imagers around Mars. As a result, there have been limited studies into how the retention of the smallest impact craters on Mars varies with surface properties, since orbital images alone cannot confidently resolve them. Rovers and landers are needed to confidently differentiate and measure these smallest craters. Here we catalog small impact craters seen along the first 25 km, or 3120 sols of the Mars Curiosity rover traverse …
Data Repository For: Dorsey Et Al., 'Rapid Transient Uplift Driven By Active Slab Tear, Southern Calabria, Italy', Rebecca J. Dorsey, Nathan D. Brown, Sergio G. Longhitano, Marco Meschis, Domenico Chiarella, Charles P. Ogle
Data Repository For: Dorsey Et Al., 'Rapid Transient Uplift Driven By Active Slab Tear, Southern Calabria, Italy', Rebecca J. Dorsey, Nathan D. Brown, Sergio G. Longhitano, Marco Meschis, Domenico Chiarella, Charles P. Ogle
Earth & Environmental Sciences Datasets
Southern Italy preserves a well-studied record of deformation and uplift related to migrating oblique collision, trench retreat, and tearing of subducted ocean slabs. However, the surface expression of these processes is incompletely understood due to a lack of reliable ages for marine terraces >200 m above sea level (masl). Here we use luminescence methods to date shallow marine sands from terraces ~ 100 to 1,000 masl in southern Calabria and interpolate the results with regional surface mapping. Burial ages overlap across the full range of sampled elevations with a weighted mean of 118.8 ± 8.7 thousand years before present (ka). …
Donna Joseph, Mark Naison
Donna Joseph, Mark Naison
Oral Histories
Her implementation of Historically Black Colleges and Universities scholarships, Community Center Drives, and Dorm Drives was an achievement she’s appreciated. She provided extensive support to people in the Bronx, and it was well-received by her peers across the nation. A humorous story she recalls is when she left a teapot set unattended while she went back to her car to retrieve the remaining piece. She returns to where it was and learns it was stolen by a woman living in a shelter. Instead of being upset that something was stolen from her, she says, “You have to tell me who …