Article
Environmental Sciences
Jose Rodriguez-Avi, Francisco Javier Ariza-Lopez
Summary: This study proposes a finite mixture model to model altimetric errors and analyzes the behavior under different positional accuracy assessment standards. The results show that the FMM offers more consistent results with the real distribution of errors.
Article
Environmental Sciences
Laura K. Thompson, Bryan Langholz, Daniel W. Goldberg, John P. Wilson, Beate Ritz, Carrie Tayour, Myles Cockburn
Summary: This research emphasizes the importance of geocoding in exposure estimation, highlighting differences in exposure classification and risk estimates between traditional point-based geocoding and a novel area-based geocoding method. The study suggests that geocode certainty and quality should be considered throughout exposure assessment to improve accuracy in assessing exposure by geography.
Article
Geography
Vera van Zoest, Jasper van Buul, Frank Osei, Alfred Stein
Summary: GPS sensors have inherent positional uncertainty that is often ignored in environmental modeling. This study examines how positional uncertainty propagates in grid-based geo-information systems, using probabilities to update raster values and adjust for uncertainty. The research found that uncertainty is highest in low spatial autocorrelation scenarios, suggesting the importance of accounting for positional uncertainty in environmental models.
TRANSACTIONS IN GIS
(2021)
Article
Chemistry, Analytical
Feng Gao, Jie Ma
Summary: In order to achieve low-cost and robustness, a indoor location system using simple visual tags is designed, considering accuracy and computation complexity comprehensively. Only color and shape features are used for tag detection, reducing algorithm complexity and data storage requirement. To handle nonunique problem caused by the simple tag features, a fast query and matching method is presented using the view field of the camera and the tag azimuth. Based on the analysis of the relationship between the spatial distribution of tags and location error, a pose and position estimation method is designed using the weighted least square algorithm, which works together with the interactive algorithm by the designed switching strategy. The proposed method effectively handles the singular problem of overdetermined equations and attenuates the negative effect of unfavorable label groups, reducing the location error by more than 62% compared to ultrawide band technology.
Article
Computer Science, Information Systems
Juan J. Ruiz-Lendinez, Manuel A. Urena-Camara, Jose L. Mesa-Mingorance, Francisco J. Quesada-Real
Summary: This study introduces an automatic positional accuracy assessment (PAA) method for evaluating the positional accuracy of regions obtained by applying a textural segmentation algorithm to high-resolution aerial images. By comparing the ideal segmentation with the computed segmentation, the automatic positional accuracy is assessed. The results demonstrate that automatic PAA procedures are valid for assessing positional accuracy achieved through other types of processes.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Biodiversity Conservation
Maciej M. Nowak, Katarzyna Slupecka, Bogdan Jackowiak
Summary: This paper discusses the importance of geotagging in digitization projects of natural history collections, as well as some limitations in existing research. The authors propose a method developed in the AMU Nature Collections project, emphasizing the heterogeneity of spatial description quality in natural history data and the importance of the proposed spatial quality assessment system.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Jared A. Fisher, Maya Spaur, Ian D. Buller, Abigail R. Flory, Laura E. Beane Freeman, Jonathan N. Hofmann, Michael Giangrande, Rena R. Jones, Mary H. Ward
Summary: Geocoding is a powerful tool for environmental exposure assessments, and improvements have been made over time, but not well characterized. Positional errors are greater in rural and low-density areas compared to more densely populated areas. Significant improvements in accuracy have been identified in certain areas across the two states.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Allergy
Yuhan Xing, Maggie H. Wang, Ting-Fan Leung, Chun-Kwok Wong, Marjut Roponen, Bianca Schaub, Jing Li, Gary W. K. Wong
Summary: It has been confirmed that living in a rural environment has a protective effect against asthma in children, and exposure to poultry and agricultural farming are the most important factors associated with this protection.
Article
Environmental Studies
Damien Arvor, Vinicius Silgueiro, Gustavo Manzon Nunes, Jean Nabucet, Andre Pereira Dias
Summary: This study evaluated the accuracy of the 2008 map of consolidated rural areas (CRA2008), which was the result of a successful collaboration between a non-governmental organization, a state administration, and academic institutions. The CRA2008 map was produced through photo interpretation of high-resolution remote sensing images and validated by comparison with 90 aerial photographs. Validation metrics confirmed the reliability of the CRA2008 map, with slightly lower results in the Amazon biome due to fragmented landscapes.
Article
Geography, Physical
Eunkwan Lee, Seunghwan Hong, Yoonjo Choi, Suhong Yoo, Hong-Gyoo Sohn
Summary: This study proposes a framework for improving the geocoding accuracy of SAR images, which includes error budget analysis and geometric correction. By applying the N-MC model for geometric correction, the geocoding accuracy of the SAR images was successfully improved.
GISCIENCE & REMOTE SENSING
(2022)
Article
Automation & Control Systems
Bo Li, Wei Zhang, Yufei Li, Wei Tian, Changrui Wang
Summary: Industrial robots play a crucial role in the transformation and upgrading of aviation manufacturing technology, thanks to their high flexibility, efficiency, and cost advantages over conventional computerized numerical control machines. However, the low absolute positional accuracy of industrial robots due to their serial structure design hampers their widespread adoption in high-precision manufacturing. This paper presents a method for improving robot accuracy by employing feedforward compensation, joint closed-loop feedback correction, and accounting for joint backlash. Experimental results demonstrate a significant reduction in positional error, from 0.76 mm to 0.18 mm under no-load conditions, with a positional accuracy of 0.25 mm achieved in robotic drilling experiments.
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Mechanical
Geng Chen, Jianzhong Yang, Hua Xiang, Daojiang Ou
Summary: This paper proposes a new method based on an optimally pruned extreme learning machine algorithm to compensate for the absolute positional errors in the automatic inspection system used in the manufacturing of automotive parts. Experimental results show that this method can significantly improve the positional accuracy of the robotic inspection system.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2022)
Article
Engineering, Geological
Changbin Wang, Guangyao Si, Chengguo Zhang, Anye Cao, Ismet Canbulat
Summary: Coal bursts have become a critical mining hazard worldwide, with seismic monitoring and analysis being essential for understanding and quantifying these hazards. This study found significant variations and strong anisotropic patterns in the location errors of seismic events in a longwall panel, with the Number of Possible Clustered Events (NPCE) showing a strong correlation with observed coal burst damages. The method proposed in this study could be used for medium to long term seismic hazard assessment.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2021)
Article
Computer Science, Information Systems
Antonio Tomas Mozas-Calvache
Summary: This study focuses on the positional accuracy of Digital Elevation Models (DEMs) and 3D vector features. By using check-surfaces as an alternative method to traditional checkpoints, the study provides a way to assess the accuracy of these datasets. The methodology includes the use of buffers to generate distribution functions of accuracies. The results show consistent accuracy values.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Geriatrics & Gerontology
Johanna Drewelies, Peter Eibich, Sandra Duezel, Simone Kuehn, Christian Krekel, Jan Goebel, Jens Kolbe, Ilja Demuth, Ulman Lindenberger, Gert G. Wagner, Denis Gerstorf
Summary: The study found that objective neighborhood characteristics, such as unemployment rate, are linked to perceptions of control among older adults, particularly in terms of how much control they believe others have over their lives. Including neighborhood characteristics significantly increased the amount of explained variance in control beliefs compared to a model controlling for demographic characteristics only.
Article
Oncology
Marco Dicanio, Matteo Giaccherini, Alyssa Clay-Gilmour, Angelica Macauda, Juan Sainz, Mitchell J. Machiela, Malwina Rybicka-Ramos, Aaron D. Norman, Agata Tyczynska, Stephen J. Chanock, Torben Barington, Shaji K. Kumar, Parveen Bhatti, Wendy Cozen, Elizabeth E. Brown, Anna Suska, Eva K. Haastrup, Robert Z. Orlowski, Marek Dudzinski, Ramon Garcia-Sanz, Marcin Kruszewski, Joaquin Martinez-Lopez, Katia Beider, Elzbieta Iskierka-Jazdzewska, Matteo Pelosini, Sonja Berndt, Malgorzata Razny, Krzysztof Jamroziak, S. Vincent Rajkumar, Artur Jurczyszyn, Annette Juul Vangsted, Pilar Garrido Collado, Ulla Vogel, Jonathan N. Hofmann, Mario Petrini, Aleksandra Butrym, Susan L. Slager, Elad Ziv, Edyta Subocz, Graham G. Giles, Niels Frost Andersen, Grzegorz Mazur, Marzena Watek, Fabienne Lesueur, Michelle A. T. Hildebrandt, Daria Zawirska, Lene Hyldahl Ebbesen, Herlander Marques, Federica Gemignani, Charles Dumontet, Judit Varkonyi, Gabriele Buda, Arnon Nagler, Agnieszka Druzd-Sitek, Xifeng Wu, Katalin Kadar, Nicola J. Camp, Norbert Grzasko, Rosalie G. Waller, Celine Vachon, Federico Canzian, Daniele Campa
Summary: The aim of this study was to identify novel pleiotropic variants involved in multiple myeloma (MM) risk. Through analysis of 28,684 single nucleotide polymorphisms (SNPs), DNAJB4-rs34517439-A was found to be associated with an increased risk of developing MM.
INTERNATIONAL JOURNAL OF CANCER
(2023)
Article
Oncology
Vicky C. Chang, Gabriella Andreotti, Maria Ospina, Christine G. Parks, Danping Liu, Joseph J. Shearer, Nathaniel Rothman, Debra T. Silverman, Dale P. Sandler, Antonia M. Calafat, Laura E. Beane Freeman, Jonathan N. Hofmann
Summary: This study investigated the association between glyphosate exposure and urinary oxidative stress biomarkers in farmers. The results showed that urinary glyphosate concentrations were positively associated with levels of oxidative stress biomarkers, such as 8-OHdG and MDA. The findings support the association between glyphosate exposure and oxidative stress in humans.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
(2023)
Article
Public, Environmental & Occupational Health
Melissa C. Friesen, Laura Beane E. Freeman, Sarah J. Locke, Pabitra R. Josse, Shuai Xie, Susan Marie Viet, Jean-Francois Sauve, Gabriella Andreotti, Peter S. Thorne, Jonathan N. Hofmann
Summary: An algorithm was developed to estimate endotoxin exposure for farmers in the BEEA Study. It combined task intensity estimates with questionnaire responses to calculate cumulative endotoxin exposures for different tasks and time windows. The study provides insight into the variability and sources of endotoxin exposure among farmers and presents exposure estimates for future investigations.
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
(2023)
Article
Public, Environmental & Occupational Health
Melissa C. Friesen, Shuai Xie, Jean-Francois Sauve, Susan Marie Viet, Pabitra R. Josse, Sarah J. Locke, Felicia Hung, Gabriella Andreotti, Peter S. Thorne, Jonathan N. Hofmann, Laura E. Beane Freeman
Summary: This study estimated endotoxin exposure for farmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) Study using published data. The task-specific endotoxin concentrations were obtained through meta-regression models. Results showed that tasks such as work in poultry and swine confinement facilities, grinding feed, veterinarian services, and cleaning grain bins had higher endotoxin concentrations, while harvesting or hauling grain and other crop-related tasks had lower concentrations.
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
(2023)
Article
Oncology
Sontoria D. King, Swathi Veliginti, Martijn C. G. J. Brouwers, Zhewen Ren, Wei Zheng, Veronica W. Setiawan, Lynne R. Wilkens, Xiao-Ou Shu, Alan A. Arslan, Laura E. Beane Freeman, Paige M. Bracci, Federico Canzian, Mengmeng Du, Steven J. Gallinger, Graham G. Giles, Phyllis J. Goodman, Christopher A. Haiman, Manolis Kogevinas, Charles Kooperberg, Loic LeMarchand, Rachel E. Neale, Kala Visvanathan, Emily White, Demetrius Albanes, Gabriella Andreotti, Ana Babic, Sonja I. Berndt, Lauren K. Brais, Paul Brennan, Julie E. Buring, Kari G. Rabe, William R. Bamlet, Stephen J. Chanock, Charles S. Fuchs, J. Michael Gaziano, Edward L. Giovannucci, Thilo Hackert, Manal M. Hassan, Verena Katzke, Robert C. Kurtz, I. -Min Lee, Nuria Malats, Neil Murphy, Ann L. Oberg, Irene Orlow, Miquel Porta, Francisco X. Real, Nathaniel Rothman, Howard D. Sesso, Debra T. Silverman, Ian M. Thompson Jr, Jean Wactawski-Wende, Xiaoliang Wang, Nicolas Wentzensen, Herbert Yu, Anne Zeleniuch-Jacquotte, Kai Yu, Brian M. Wolpin, Eric J. Duell, Donghui Li, Rayjean J. Hung, Sandra Perdomo, Marjorie L. McCullough, Neal D. Freedman, Alpa Patel, Ulrike Peters, Elio Riboli, Malin Sund, Anne Tjonneland, Jun Zhong, Stephen K. Van den Eeden, Peter Kraft, Harvey A. Risch, Laufey T. Amundadottir, Alison P. Klein, Rachael Z. Stolzenberg-Solomon, Samuel O. Antwi
Summary: This study used Mendelian randomization (MR) to investigate the relationship between genetic predisposition to nonalcoholic fatty liver disease (NAFLD) and risk for pancreatic cancer. The results showed no association between genetically predicted NAFLD and pancreatic cancer risk, suggesting that any association between NAFLD and pancreatic cancer might be due to metabolic disturbances rather than a causal relationship.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
(2023)
Article
Environmental Sciences
Darrin A. Thompson, Dana W. Kolpin, Michelle L. Hladik, Hans -Joachim Lehmler, Shannon M. Meppelink, Matthew C. Poch, John D. Vargo, Victor A. Soupene, Nafis Md Irfan, Morgan Robinson, Kurunthachalam Kannan, Laura E. Beane Freeman, Jonathan N. Hofmann, David M. Cwiertny, R. William Field
Summary: A pilot study was conducted in eastern Iowa to assess human exposure to neon-icotinoids (NEOs) among farming households. The study found that NEOs were detected in both outdoor and indoor water samples, with clothianidin being the most frequently detected NEO. Human exposure to NEOs was also found in urine samples, with multiple NEOs and metabolites being present. Additionally, the study concluded that while water consumption may contribute to exposure, other factors like diet and occupational exposure may play a bigger role.
Article
Oncology
Qianlai Luo, Jonathan N. Hofmann, Ruth M. Pfeiffer, Cari M. Kitahara, Minkyo Song, Meredith S. Shiels
Summary: Since the mid-1990s, overweight/obesity appears to have significantly contributed to the rising incidence of renal cell carcinoma (RCC) in the United States, while the contribution of non-smoking has declined. Public health interventions aimed at reducing overweight and obesity could play a crucial role in curbing this trend.
INTERNATIONAL JOURNAL OF CANCER
(2023)
Article
Environmental Sciences
Shuai Xie, Jonathan N. Hofmann, Joshua N. Sampson, Pabitra R. Josse, Gabriella Andreotti, Jessica M. Madrigal, Mary H. Ward, Laura Beane E. Freeman, Melissa C. Friesen
Summary: This study examined the relationship between self-reported use of 2,4-D and house dust concentrations, as well as other factors, in farmers' homes. The results showed that homes with recent occupational use of 2,4-D had higher dust concentrations, and this association may be influenced by home/garden use and household characteristics.
JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE
(2023)
Article
Environmental Sciences
Paul M. Bradley, Dana W. Kolpin, Darrin A. Thompson, Kristin M. Romanok, Kelly L. Smalling, Sara E. Breitmeyer, Mary C. Cardon, David M. Cwiertny, Nicola Evans, R. William Field, Michael J. Focazio, Laura E. Beane Freeman, Carrie E. Givens, James L. Gray, Gordon L. Hager, Michelle L. Hladik, Jonathan N. Hofmann, Rena R. Jones, Leslie K. Kanagy, Rachael F. Lane, R. Blaine McCleskey, Danielle Medgyesi, Elizabeth K. Medlock-Kakaley, Shannon M. Meppelink, Michael T. Meyer, Diana A. Stavreva, Mary H. Ward
Summary: Contaminant exposure in unregulated private-well tap water is a public health concern in the United States and globally. A study conducted in northeast Iowa farms found high levels of inorganics, organics, and microbial contaminants in private-well tap water. The presence of pesticides and bacteria in the water exceeds safe limits, highlighting the need for residential treatment systems and increased monitoring of rural private-well homes.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Public, Environmental & Occupational Health
Daniel E. Russ, Pabitra Josse, Thomas Remen, Jonathan N. Hofmann, Mark P. Purdue, Jack Siemiatycki, Debra T. Silverman, Yawei Zhang, Jerome Lavoue, Melissa C. Friesen
Summary: Computer-assisted coding of job descriptions to standardized occupational classification codes is important in epidemiologic studies. The study evaluated the performance of SOCcer v2, a computerized algorithm for coding free-text job descriptions to US SOC-2010 system, and found that it had a similar agreement with experts compared to previous versions. The algorithm's score can be used to prioritize jobs for expert review.
ANNALS OF WORK EXPOSURES AND HEALTH
(2023)
Review
Public, Environmental & Occupational Health
Nathan L. DeBono, Robert D. Daniels, Laura E. Beane Freeman, Judith M. Graber, Johnni Hansen, Lauren R. Teras, Tim Driscoll, Kristina Kjaerheim, Paul A. Demers, Deborah C. Glass, David Kriebel, Tracy L. Kirkham, Roland Wedekind, Adalberto M. Filho, Leslie Stayner, Mary K. Schubauer-Berigan
Summary: This study is a meta-analysis of the association between occupational exposure as a firefighter and cancer. The results show that there is epidemiological evidence supporting a causal relationship between being a firefighter and certain cancers, but challenges remain in exposure assessment, confounding, and medical surveillance bias.
SAFETY AND HEALTH AT WORK
(2023)
Article
Environmental Sciences
Jongeun Rhee, Kathryn H. Barry, Wen-Yi Huang, Joshua N. Sampson, Jonathan N. Hofmann, Debra T. Silverman, Antonia M. Calafat, Julianne Cook Botelho, Kayoko Kato, Mark P. Purdue, Sonja I. Berndt
Summary: This study investigated the association between pre-diagnostic serum PFAS concentrations and aggressive prostate cancer risk. The results showed an inverse association between PFOA and aggressive prostate cancer, but this association was no longer significant for cases diagnosed more than 3 years after blood collection.
ENVIRONMENTAL RESEARCH
(2023)
Editorial Material
Public, Environmental & Occupational Health
Melissa C. Friesen, Laura E. Beane Freeman
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
(2023)
Article
Environmental Sciences
Cherrel K. Manley, Maya Spaur, Jessica M. Madrigal, Jared A. Fisher, Rena R. Jones, Christine G. Parks, Jonathan N. Hofmann, Dale P. Sandler, Laura Beane Freeman, Mary H. Ward
Summary: This study describes the drinking water sources and water quality for a large agricultural cohort, finding that agricultural communities may be exposed to elevated nitrate levels due to the proximity of their drinking water sources to farms.
ENVIRONMENTAL EPIDEMIOLOGY
(2022)