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Articles 1 - 30 of 435
Full-Text Articles in Anthropology
Of Epistemes And Insects: How Drosophila And Butterflies Shape Our Understanding Of Radiation Risk, Donna M. Goldstein, Magdalena E. Stawkoski
Of Epistemes And Insects: How Drosophila And Butterflies Shape Our Understanding Of Radiation Risk, Donna M. Goldstein, Magdalena E. Stawkoski
Faculty Publications
This paper explores the complexities of extrapolating insect data to understand nuclear exposure effects on humans. Within radiation research, animal studies are invaluable tools for understanding biological effects of radiation exposure. However, data are often employed selectively, exposing unsettled science in extrapolating animal data to human radiation effects. Here we focus on our understanding of the genetic effects of radiation exposure, and how the debates about the long-term effects on humans were molded by research carried out on the model organism known as Drosophila; disagreements among scientists occurred within the constraints of research on this model organism, creating what …
Research Journal 2026: People And Places, José A. Rivera Ph.D
Research Journal 2026: People And Places, José A. Rivera Ph.D
Faculty Publications
José Rivera narrates his life history from adolescence into college years, university teaching, research career, publications, and ends with post-retirement service as a giving back to community. For most of his term as an academic, his research focus was on community-based organizations that he terms “peoples’ institutions”: acequia associations and mutual help societies. For data, he conducted field work in New Mexico and the American Southwest as well as internationally, primarily in Mexico, Peru, Spain and the Philippines. While at these locations, he interviewed people, collected maps, researched archives, and took photographs as ethnographic evidence of people and places. His …
A Big Data Approach To Mitigating The Maup In Measuring Excess Commuting, Cehong Luo, Yujie Hu, Fahui Wang
A Big Data Approach To Mitigating The Maup In Measuring Excess Commuting, Cehong Luo, Yujie Hu, Fahui Wang
Faculty Publications
Excess commuting, defined as the inefficiency resulting from spatial mismatches between residential and employment locations, poses significant challenges for urban planning and transportation systems. This study uses big data from individual vehicle trips collected in Tampa, Florida, to quantify excess commuting more accurately than traditional zonal approaches. Through the application of Linear Programming (LP) and Integer Linear Programming (ILP) models, this research measures minimum and actual commuting patterns across different spatial scales—census tract, block group, and individual trip levels. The findings reveal a clear scale effect associated with the Modifiable Areal Unit Problem (MAUP), as smaller spatial units consistently yield …
Rapid Decline And Mortality Of A Pleistocene-Aged Forest Now Submerged In The Northern Gulf Of Mexico, Usa, Grant L. Harley, Kristine L. Delong, Marcus Lofverstrom, Carl Andy Reese, Ellen V. Bergan, Samuel J. Bentley, Kehui Xu, Kelli Moran, Karen E. King, Alicia Caporaso
Rapid Decline And Mortality Of A Pleistocene-Aged Forest Now Submerged In The Northern Gulf Of Mexico, Usa, Grant L. Harley, Kristine L. Delong, Marcus Lofverstrom, Carl Andy Reese, Ellen V. Bergan, Samuel J. Bentley, Kehui Xu, Kelli Moran, Karen E. King, Alicia Caporaso
Faculty Publications
The Gulf and Atlantic Coastal Plains of the southern United States are characterized by a wide continental shelf that was subaerially exposed for ca. 80,000 years during glacial-interval marine regressions and transgressions. Given their present submergence, little is known about the vegetation dynamics, particularly at annual time scales, of these formerly terrestrial sites due to erosional processes associated with marine transgressions. Here, we present an annually resolved and well-replicated 489-year tree-ring chronology from macrobotanical specimens—anatomically identified as Taxodium distichum (L.) Rich.—collected in situ from a recently exposed submerged forest in 18 m water depth in the northern Gulf of Mexico. …
A 12,800-Year-Old Layer With Cometary Dust, Microspherules, And Platinum Anomaly Recorded In Multiple Cores From Baffin Bay, Christopher R. Moore, Vladimir A. Tselmovich, Malcolm A. Lecompte, Allen West, Stephen J. Culver, David J. Mallinson, Mohammed Baalousha M.Sc, Ph.D., James P. Kennett, William M. Napier, Michael Bizimis, Victor Adedeji, Seth R. Sutton, Gunther Kleteschka, Kurt A. Langworthy, Jesus P. Perez, Timothy Witwer, Marc D. Young, Jordan Jeffreys, Richard C. Greenwood, James A. Malley
A 12,800-Year-Old Layer With Cometary Dust, Microspherules, And Platinum Anomaly Recorded In Multiple Cores From Baffin Bay, Christopher R. Moore, Vladimir A. Tselmovich, Malcolm A. Lecompte, Allen West, Stephen J. Culver, David J. Mallinson, Mohammed Baalousha M.Sc, Ph.D., James P. Kennett, William M. Napier, Michael Bizimis, Victor Adedeji, Seth R. Sutton, Gunther Kleteschka, Kurt A. Langworthy, Jesus P. Perez, Timothy Witwer, Marc D. Young, Jordan Jeffreys, Richard C. Greenwood, James A. Malley
Faculty Publications
The Younger Dryas Impact Hypothesis (YDIH) posits that ~12,800 years ago Earth encountered the debris stream of a disintegrating comet, triggering hemisphere-wide airbursts, atmospheric dust loading, and the deposition of a distinctive suite of extraterrestrial (ET) impact proxies at the Younger Dryas Boundary (YDB). Until now, evidence supporting this hypothesis has come only from terrestrial sediment and ice-core records. Here we report the first discovery of similar impact-related proxies in ocean sediments from four marine cores in Baffin Bay that span the YDB layer at water depths of 0.5–2.4 km, minimizing the potential for modern contamination. Using scanning electron microscopy …
High-Resolution Model Intercomparison Project Phase 2 (Highresmip2) Towards Cmip7, Malcolm J. Roberts, Kevin A. Reed, Qing Bao, Joseph J. Barsugli, Suzana J. Camargo, Louis Philippe Caron, Ping Chang, Cheng Ta Chen, Hannah M. Christensen, Gokhan Danabasoglu, Ivy Frenger, Neven S. Fučkar, Shabeh Ul Hasson, Helene T. Hewitt, Huanping Huang, Daehyun Kim, Chihiro Kodama, Michael Lai, Lai Yung Ruby Leung, Ryo Mizuta, Paulo Nobre, Pablo Ortega, Dominique Paquin, Christopher D. Roberts, Enrico Scoccimarro, Jon Seddon, Anne Marie Treguier, Chia Ying Tu, Paul A. Ullrich, Pier Luigi Vidale, Michael F. Wehner, Colin M. Zarzycki
High-Resolution Model Intercomparison Project Phase 2 (Highresmip2) Towards Cmip7, Malcolm J. Roberts, Kevin A. Reed, Qing Bao, Joseph J. Barsugli, Suzana J. Camargo, Louis Philippe Caron, Ping Chang, Cheng Ta Chen, Hannah M. Christensen, Gokhan Danabasoglu, Ivy Frenger, Neven S. Fučkar, Shabeh Ul Hasson, Helene T. Hewitt, Huanping Huang, Daehyun Kim, Chihiro Kodama, Michael Lai, Lai Yung Ruby Leung, Ryo Mizuta, Paulo Nobre, Pablo Ortega, Dominique Paquin, Christopher D. Roberts, Enrico Scoccimarro, Jon Seddon, Anne Marie Treguier, Chia Ying Tu, Paul A. Ullrich, Pier Luigi Vidale, Michael F. Wehner, Colin M. Zarzycki
Faculty Publications
Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. Consequently, the role of enhanced horizontal resolution in improved process representation in all components of the climate system continues to be of great interest. Recent simulations suggest the possibility of significant changes in both large-scale aspects of the ocean and atmospheric circulations and in the regional responses to climate change, as well as improvements in representations of small-scale processes and extremes, when resolution is enhanced. The first phase of the High-Resolution Model Intercomparison Project (HighResMIP1) …
Time-Series Data-Driven Pm2.5 Forecasting: From Theoretical Framework To Empirical Analysis, Chunlai Wu, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng
Time-Series Data-Driven Pm2.5 Forecasting: From Theoretical Framework To Empirical Analysis, Chunlai Wu, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng
Faculty Publications
PM2.5 in air pollution poses a significant threat to public health and the ecological environment. There is an urgent need to develop accurate PM2.5 prediction models to support decision-making and reduce risks. This review comprehensively explores the progress of PM2.5 concentration prediction, covering bibliometric trends, time series data characteristics, deep learning applications, and future development directions. This article obtained data on 2327 journal articles published from 2014 to 2024 from the WOS database. Bibliometric analysis shows that research output is growing rapidly, with China and the United States playing a leading role, and recent research is increasingly focusing on data-driven …
Cross-State Travel For Cancer Care And Implications For Telehealth Reciprocity, Erika L. Moen, Qianfei Wang, Lingbo Liu, Fahui Wang, Anna N.A. Tosteson, Rebecca E. Smith, Lauren Cowan, Tracy Onega
Cross-State Travel For Cancer Care And Implications For Telehealth Reciprocity, Erika L. Moen, Qianfei Wang, Lingbo Liu, Fahui Wang, Anna N.A. Tosteson, Rebecca E. Smith, Lauren Cowan, Tracy Onega
Faculty Publications
Importance: Patients often travel for cancer care, yet the extent to which patients cross state lines for cancer care is not well understood. This knowledge can have implications for policies that regulate telehealth access to out-of-state clinicians. Objective: To quantify the extent of cross-state delivery of cancer services to patients with cancer. Design, Setting, and Participants: This cross-sectional study analyzed fee-for-service Medicare claims data for beneficiaries (aged ≥66 years) with a diagnosis of breast, colon, lung, or pancreatic cancer between January 1, 2017, and December 31, 2020. Analyses were performed between January 1 and July 30, 2024. Exposure: Patient rurality. …
Beyond Water Surface Profiles: A New Iterative Methodology For 2d Model Calibration In Rivers Using Velocity Data From Multiple Cross-Sections, Fabian Rivera-Trejo, Gabriel Soto-Cortes, Kory M. Konsoer, Eddy J. Langendoen, Gaston Priego-Hernandez
Beyond Water Surface Profiles: A New Iterative Methodology For 2d Model Calibration In Rivers Using Velocity Data From Multiple Cross-Sections, Fabian Rivera-Trejo, Gabriel Soto-Cortes, Kory M. Konsoer, Eddy J. Langendoen, Gaston Priego-Hernandez
Faculty Publications
Observed longitudinal water-surface profiles are commonly used to calibrate river hydrodynamic models, relying on assumptions of lateral uniformity in water surface elevation and velocity distribution. While suitable for 1D models, this approach has limitations in regard to 2D model calibration. When 2D flow measurements are available, a more robust quantitative evaluation is necessary to assess model accuracy. This study introduces a novel methodology to improve 2D model calibration and evaluate performance. High-resolution bathymetric and hydrodynamic data collected with a multibeam echosounder (MBES) and acoustic Doppler current profiler (ADCP) were aligned to compare observed and simulated flow velocities at matching spatial …
Earliest Ancient Maya Salt Production In Southern Belize: Excavations At Jay-Yi Nah, Heather Mckillop, E. Cory Sills
Earliest Ancient Maya Salt Production In Southern Belize: Excavations At Jay-Yi Nah, Heather Mckillop, E. Cory Sills
Faculty Publications
Salt works along the Yucatan coasts of Mexico and Belize provide a record of salt production for inland trade during the height of Late Classic Maya civilisation (AD 550-800). At the Paynes Creek Salt Works in Belize, production focused on the creation of salt cakes by boiling brine in pots supported over fires in dedicated salt kitchens. Underwater excavations at the Early Classic (AD 250-550) site of Jay-yi Nah now indicate there was a longer and evolving tradition of salt making in the area, one that initially employed large, incurved bowls to meet local or down-the-line trade needs before inland …
A Big Data Approach To Modelling Urban Population Density Functions: From Monocentricity To Polycentricity, Cehong Luo, Yujie Hu, Fahui Wang
A Big Data Approach To Modelling Urban Population Density Functions: From Monocentricity To Polycentricity, Cehong Luo, Yujie Hu, Fahui Wang
Faculty Publications
Urban studies have a long tradition of examining the regularity of urban structure by modelling urban population density functions and probing the theoretical or behavioural foundation behind it. Previous studies commonly used census data in areal units such as census tracts or census block groups, which varied a great deal in area size and shape and led to the zonal and scale effects, commonly referred to as the modifiable areal unit problem (MAUP). This study uses big data of individual vehicle trips in Tampa, Florida, to define the precise population and employment distribution locations, and then aggregates them with uniform …
Mapping Glams: Creating A National Dataset Of Glams To Develop A Categorical Climate-Change Risk Assessment Scale, Edward Benoitiii, Jill Trepanier, Jennifer Vanos, Emily Fisher, Kaitlyn Bailey, Annie Waddell, Haley Moore, Mandy Hatman, Mary Sidwell, Symonne Russell, Virginia Seger, Paige Boutte, Amanda Latta, Zoe Mohammad, Kyriel Felton, Erin Deliman, Breanna Benson-Pearce, Wendy Johnson, Allyson Russell, Baillie Pretzer, Christopher Reeder, Melissa Mcconnell, Lisa Dahlke, Kaitlynn Melear, Lillian Bodi, Savannah T. Lyle, Zach Lannes, Gwen L. Wells, Benjamin A. Teincuff, Jason M. Straight, Tiffany Rockwell, Shane T. Manthei, Jennifer L. Benner
Mapping Glams: Creating A National Dataset Of Glams To Develop A Categorical Climate-Change Risk Assessment Scale, Edward Benoitiii, Jill Trepanier, Jennifer Vanos, Emily Fisher, Kaitlyn Bailey, Annie Waddell, Haley Moore, Mandy Hatman, Mary Sidwell, Symonne Russell, Virginia Seger, Paige Boutte, Amanda Latta, Zoe Mohammad, Kyriel Felton, Erin Deliman, Breanna Benson-Pearce, Wendy Johnson, Allyson Russell, Baillie Pretzer, Christopher Reeder, Melissa Mcconnell, Lisa Dahlke, Kaitlynn Melear, Lillian Bodi, Savannah T. Lyle, Zach Lannes, Gwen L. Wells, Benjamin A. Teincuff, Jason M. Straight, Tiffany Rockwell, Shane T. Manthei, Jennifer L. Benner
Faculty Publications
Introduction. The PROTECCT-GLAM project aims to assess and address climate risks for U.S. galleries, libraries, archives, and museums (GLAMs). The project team began with creating a national dataset of GLAMs. Method. The project team used existing datasets that required different auditing and manipulation techniques to align its data. Following the data normalization, the master file included 77,960 entries. Analysis and Results. The project team used ArcGIS Pro to analyze a dataset of galleries, libraries, archives, and museums (GLAMs) for risk from sea level rise, finding 16,877 GLAMs within 30 kilometres of the U.S. coast, with California, New York, Maryland, Florida, …
Advances In Tropical Climatology–A Review, Flávia D.S. Moraes, Craig Ramseyer, Paul W. Miller, Jill C. Trepanier
Advances In Tropical Climatology–A Review, Flávia D.S. Moraes, Craig Ramseyer, Paul W. Miller, Jill C. Trepanier
Faculty Publications
Understanding tropical climatology is essential to comprehending the atmospheric connections between the tropics and extratropical latitudes weather and climate events. In this review paper, we emphasize the advances in key areas of tropical climatology knowledge since the end of the 20th century and offer a summary, assessment, and discussion of previously published literature. Among the key areas analyzed here, we explore the advances in tropical oceanic and atmospheric variability, such as El Niño–Southern Oscillation and the Madden-Julian Oscillation, and how those teleconnection events have helped us to better understand variabilities in tropical monsoons, tropical cyclones, and drought events. We also …
Cgbi_Yolo: Lightweight Land Target Detection Network, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Xiaobing Chen, Wenfeng Zheng
Cgbi_Yolo: Lightweight Land Target Detection Network, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Xiaobing Chen, Wenfeng Zheng
Faculty Publications
Object detection algorithms for optical remote sensing images often face challenges in computational efficiency, particularly when detecting small and densely packed targets. This paper introduces CGBi_YOLO, a novel lightweight land target detection network designed to optimize computational resource utilization while maintaining detection capabilities for small-scale targets. Our approach incorporates an innovative lightweight optimization strategy featuring a new lightweight backbone feature extraction network: CSPGhostNet. This model significantly enhances the detection ability of small objects within optical remote sensing images without increasing computational demands. The efficacy of the proposed model is validated through rigorous experimentation on the DOTA dataset. Compared to the …
Research Overview On Urban Heat Islands Driven By Computational Intelligence, Chao Liu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng
Research Overview On Urban Heat Islands Driven By Computational Intelligence, Chao Liu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng
Faculty Publications
In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, …
Current Situation And Prospect Of Geospatial Ai In Air Pollution Prediction, Chunlai Wu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng
Current Situation And Prospect Of Geospatial Ai In Air Pollution Prediction, Chunlai Wu, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng
Faculty Publications
Faced with increasingly serious environmental problems, scientists have conducted extensive research, among which the importance of air quality prediction is becoming increasingly prominent. This article briefly reviews the utilization of geographic artificial intelligence (AI) in air pollution. Firstly, this paper conducts a literature metrology analysis on the research of geographical AI used in air pollution. That is, 607 documents are retrieved from the Web of Science (WOS) using appropriate keywords, and literature metrology analysis is conducted using Citespace to summarize research hotspots and frontier countries in this field. Among them, China plays a constructive role in the fields of geographic …
Storm-Driven Tree Exposure And Geomorphic Change: Predicting The Distribution Of Preserved Late Pleistocene Tree Stumps On The Outer Alabama Continental Shelf, Kelli L. Moran, Kehui Xu, Jeffrey Obelcz, Kristine L. Delong, Kendall Fontenot, Carl A. Reese, Grant L. Harley, Douglas Jones, Alicia Caporaso
Storm-Driven Tree Exposure And Geomorphic Change: Predicting The Distribution Of Preserved Late Pleistocene Tree Stumps On The Outer Alabama Continental Shelf, Kelli L. Moran, Kehui Xu, Jeffrey Obelcz, Kristine L. Delong, Kendall Fontenot, Carl A. Reese, Grant L. Harley, Douglas Jones, Alicia Caporaso
Faculty Publications
The Alabama Underwater or Drowned Forest is a well-preserved Late Pleistocene (dated to 72–56 ± 8 ka, 2σ) terrestrial landform on the northern Gulf of Mexico continental shelf that provides geomorphic and ecosystem information rarely preserved during the glacial intervals. Stumps of bald cypress (Taxodium distichum (L.) Rich.) trees were exposed in ∼18 m of water following Hurricane Ivan in 2004. This research investigates geomorphic changes to the Mississippi-Alabama-Florida (MAFLA) sand sheet, which presents as shore-oblique Holocene sand ridges, and the exposure and burial of tree stumps following the passage of Hurricane Sally in 2020 using repeat sidescan and bathymetric …
Spatiotemporal Climatology Of Georgia Tropical Cyclones And Associated Rainfall, Reilly Corkran, Jill Trepanier, Vincent Brown
Spatiotemporal Climatology Of Georgia Tropical Cyclones And Associated Rainfall, Reilly Corkran, Jill Trepanier, Vincent Brown
Faculty Publications
Tropical cyclones (TCs), often characterized by high wind speeds and heavy rainfall, cause widespread devastation, affecting millions of people and leading to economic losses worldwide. TC-specific research in Georgia is scarce, likely due to the minimal geographical extent of its coast and the infrequency of direct landfalls. Research on Georgia TCs does not account for storms that make landfall in other southeastern states (e.g., Florida) and continue north, northeast, or northwest into Georgia. This study used the North Atlantic Basin hurricane database (HURDAT2) to quantify the spatiotemporal patterns of direct and indirect landfalling of Georgia tropical cyclones (>16 ms−1) …
Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang
Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang
Faculty Publications
Land image recognition and classification and land environment detection are important research fields in remote sensing applications. Because of the diversity and complexity of different tasks of land environment recognition and classification, it is difficult for researchers to use a single model to achieve the best performance in scene classification of multiple remote sensing land images. Therefore, to determine which model is the best for the current recognition classification tasks, it is often necessary to select and experiment with many different models. However, finding the optimal model is accompanied by an increase in trial-and-error costs and is a waste of …
Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso
Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso
Faculty Publications
The southeastern United States Coastal Plain ecosystem contains baldcypress (Taxodium distichum) swamps and grass-dominated marshes. These ecosystems also occurred on the exposed continental shelf during lower sea levels but are rarely preserved due to the mechanically erosive nature of transgression and regression. Two presently marine sites on the northeastern Gulf of Mexico's continental shelf contain well-preserved woody terrestrial sediments that were the subject of previous studies. This study continues the investigation using geochemical (δ13C, δ15N, δ34S) and palynological characteristics of these formerly terrestrial sediments to determine if swamps and/or marshes existed at the time of deposition. The first site is …
Spatiotemporal Analysis Of Nighttime Crimes In Vienna, Austria, Jiyoung Lee, Michael Leitner, Gernot Paulus
Spatiotemporal Analysis Of Nighttime Crimes In Vienna, Austria, Jiyoung Lee, Michael Leitner, Gernot Paulus
Faculty Publications
Studying the spatiotemporal dynamics of crime is crucial for accurate crime geography research. While studies have examined crime patterns related to weekdays, seasons, and specific events, there is a noticeable gap in research on nighttime crimes. This study focuses on crimes occurring during the nighttime, investigating the temporal definition of nighttime crime and the correlation between nighttime lights and criminal activities. The study concentrates on four types of nighttime crimes, assault, theft, burglary, and robbery, conducting univariate and multivariate analyses. In the univariate analysis, correlations between nighttime crimes and nighttime light (NTL) values detected in satellite images and between streetlight …
Fighting Erasure And Dispossession In The San Francisco Bay Area: Putting Archaeology To Work For The Muwekma Ohlone Tribe, Lee M. Panich, Monica V. Arellano, Michael Wilcox, Gustavo Flores
Fighting Erasure And Dispossession In The San Francisco Bay Area: Putting Archaeology To Work For The Muwekma Ohlone Tribe, Lee M. Panich, Monica V. Arellano, Michael Wilcox, Gustavo Flores
Faculty Publications
The Muwekma Ohlone Tribe has long been involved in the archaeology and stewardship of their ancestral homelands, both through their own cultural resource management (CRM) firm and though collaborations with academic and CRM archaeologists. In this article, we build on the past 40 years of archaeological collaborations in the southern San Francisco Bay region and offer examples of how archaeologists can support tribal heritage and environmental stewardship by using the traditional purview of material culture in combination with a broader array of evidence and concerns. As presented in our brief case studies, the Muwekma Ohlone Tribe and scholars are working …
Elevating The Rre Framework For Geospatial Analysis With Visual Programming Platforms: An Exploration With Geospatial Analytics Extension For Knime, Lingbo Liu, Fahui Wang, Xiaokang Fu, Tobias Kötter, Kevin Sturm, Weihe Wendy Guan, Shuming Bao
Elevating The Rre Framework For Geospatial Analysis With Visual Programming Platforms: An Exploration With Geospatial Analytics Extension For Knime, Lingbo Liu, Fahui Wang, Xiaokang Fu, Tobias Kötter, Kevin Sturm, Weihe Wendy Guan, Shuming Bao
Faculty Publications
Reproducibility, replicability, and expandability (RRE) have emerged as fundamental concerns in the realm of scientific research and development. Wherein, devising effective solutions for RRE within geospatial analysis stands out as a particularly critical challenge that demands immediate attention. Although there has been an evolution from basic reproducibility of code and data to a more comprehensive cyberinfrastructure, this integrated solution is still grappling with issues of limited user accessibility, steep learning curves particularly in coding skills, and difficulties in achieving collaboration with other data science platforms This study proposes a framework that combines open-source GIS with visual programming platforms, grounded in …
Stacked Noise Reduction Auto Encoder–Ocean: A Novel Personalized Recommendation Model Enhanced, Bixi Wang, Wenfeng Zheng, Ruiyang Wang, Siyu Lu, Lirong Yin, Lei Wang, Zhengtong Yin, Xinbing Chen
Stacked Noise Reduction Auto Encoder–Ocean: A Novel Personalized Recommendation Model Enhanced, Bixi Wang, Wenfeng Zheng, Ruiyang Wang, Siyu Lu, Lirong Yin, Lei Wang, Zhengtong Yin, Xinbing Chen
Faculty Publications
With the continuous development of information technology and the rapid increase in new users of social networking sites, recommendation technology is becoming more and more important. After research, it was found that the behavior of users on social networking sites has a great correlation with their personalities. The five characteristics of the OCEAN personality model can cover all aspects of a user’s personality. In this research, a micro-directional propagation model based on the OCEAN personality model and a Stacked Denoising Auto Encoder (SDAE) was built through the application of deep learning to a collaborative filtering technique. Firstly, the dimension of …
Aerial, Surface, And Subsurface Multimodal Mapping In Coastal Peru: Insights From Cerro San Isidro, Moro Region, Nepeña Valley, Kayla Golay Lausanne, David Chicoine, Jeisen Navarro Vega, George F. Lau
Aerial, Surface, And Subsurface Multimodal Mapping In Coastal Peru: Insights From Cerro San Isidro, Moro Region, Nepeña Valley, Kayla Golay Lausanne, David Chicoine, Jeisen Navarro Vega, George F. Lau
Faculty Publications
This article describes a series of steps to integrate multiple modes of archaeological mapping in arid and agricultural settings. We use the coastal region of Peru as a case study and share our recent field experience at Cerro San Isidro, a multicomponent hill site located in the agriculture-intensive and mid-elevation (about 500 m asl) Moro region of the Nepeña Valley. In June and July 2022, we spent eight weeks deploying a combination of drone aerial imagery, pedestrian GPS reconnaissance, and GPR survey to map the surface and subsurface features at the site and in the adjacent agricultural fields. Our efforts …
17O-Excess In Tropical Cyclones Reflects Local Rain Re-Evaporation More Than Moisture Source Conditions, Chijun Sun, Timothy Shanahan, Shaoneng He, Adriana Bailey, Jesse Nusbaumer, Jun Hu, Aubrey Hillman, Erika Ornouski, Jacob Warner, Kristine Delong
17O-Excess In Tropical Cyclones Reflects Local Rain Re-Evaporation More Than Moisture Source Conditions, Chijun Sun, Timothy Shanahan, Shaoneng He, Adriana Bailey, Jesse Nusbaumer, Jun Hu, Aubrey Hillman, Erika Ornouski, Jacob Warner, Kristine Delong
Faculty Publications
17O-excess is a relatively new water isotope parameter that could potentially provide useful information about the hydrological cycle. Previous works focusing on 17O-excess in polar regions suggest that it primarily tracks moisture source relative humidity, but little is known about how to interpret 17O-excess data in lower latitudes. Here we present quasi-hourly triple oxygen isotope data of precipitation collected from two tropical cyclones in Texas and Louisiana in 2020 to understand the impacts of environmental and meteorological processes on the 17O-excess of low-to mid-latitude precipitation. We find that at both hourly timescales and the event scale, 17O-excess is strongly correlated …
Pal-Bert: An Improved Question Answering Model, Wenfeng Zheng, Siyu Lu, Zhuohang Cai, Ruiyang Wang, Lei Wang, Lirong Yin
Pal-Bert: An Improved Question Answering Model, Wenfeng Zheng, Siyu Lu, Zhuohang Cai, Ruiyang Wang, Lei Wang, Lirong Yin
Faculty Publications
In the field of natural language processing (NLP), there have been various pre-training language models in recent years, with question answering systems gaining significant attention. However, as algorithms, data, and computing power advance, the issue of increasingly larger models and a growing number of parameters has surfaced. Consequently, model training has become more costly and less efficient. To enhance the efficiency and accuracy of the training process while reducing the model volume, this paper proposes a first-order pruning model PAL-BERT based on the ALBERT model according to the characteristics of question-answering (QA) system and language model. Firstly, a first-order network …
Gendered Perceptions And Socio-Economic And Spatial Determinants Of Fear Of Crime: An Empirical Analysis In Szczecin, Poland, Natalia Sypion, Arkadiusz Kołodziej, Michael Leitner, Marek Dutkowski
Gendered Perceptions And Socio-Economic And Spatial Determinants Of Fear Of Crime: An Empirical Analysis In Szczecin, Poland, Natalia Sypion, Arkadiusz Kołodziej, Michael Leitner, Marek Dutkowski
Faculty Publications
The study of the fear of crime phenomenon provides a socially and politically important research question. Many studies show that gender differentiates the fear of crime, which is why we examine this phenomenon in a spatial perspective. The female versus male perspective of feelings of safety in residential areas were significantly different. The research was carried out using the CAWI technique in the city of Szczecin, in Poland (n=346). The research also examined which factors influenced the fear of crime the most: darkness, socio-economic characteristics, type of violations, number of registered crimes, or the assessment of police work. The research …
Geospatial Analytics Extension For Knime, Lingbo Liu, Xiaokang Fu, Tobias Kötter, Kevin Sturm, Carsten Haubold, Weihe Wendy Guan, Shuming Bao, Fahui Wang
Geospatial Analytics Extension For Knime, Lingbo Liu, Xiaokang Fu, Tobias Kötter, Kevin Sturm, Carsten Haubold, Weihe Wendy Guan, Shuming Bao, Fahui Wang
Faculty Publications
The Geospatial Analytics Extension for KNIME (GAEK) is an innovative tool designed to integrate visual programming with geospatial analytics, streamlining GIS education and research in social sciences. GAEK simplifies access for users with an intuitive, visual interface for complex spatial analysis tasks and contributes to the organization of the GIS Knowledge Tree through its geospatial analytics nodes. This paper discusses GAEK's architecture, functionalities, and its transformative impact on GIS applications. While GAEK significantly enhances user experience and research reproducibility, future updates aim to expand its functionality and optimize its bundled environment.
An Examination Of Homo Naledi Early Juveniles Recovered From The Rising Star Cave System, South Africa, Juliet K. Brophy, Debra R. Bolter, Marina Elliott, John Hawks, Lee R. Berger
An Examination Of Homo Naledi Early Juveniles Recovered From The Rising Star Cave System, South Africa, Juliet K. Brophy, Debra R. Bolter, Marina Elliott, John Hawks, Lee R. Berger
Faculty Publications
Background: Six Homo naledi early juveniles were recovered from U.W. 101 (Dinaledi Chamber), U.W. 102 (Lesedi Chamber), and U.W. 110 in the Rising Star cave system. Aim: This paper develops the information for the H. naledi early juvenile life stage, as defined by a combination of deciduous and permanent dentition, and the eruption of the first permanent molar. Subjects and methods: The growing number of young individuals recovered from the Rising Star cave system allows us to gain a better understanding of their variation, or lack thereof, and provides a basis to estimate broad ranges for age at death of …