Article
Medicine, General & Internal
Leland E. Hull, David Cheng, Mie H. Hallman, M. L. Rieu-Werden, Jennifer S. Haas
Summary: This cross-sectional study examined the factors associated with the timing of reproductive carrier screening and found that multilevel factors, including clinician specialty, clinic location, and hospital affiliation, were associated with the timing of screening. The study highlights the importance of engaging specific medical specialties to increase access to preconception screening.
Article
Computer Science, Theory & Methods
Jung Hee Cheon, Wootae Kim, Jai Hyun Park
Summary: This paper introduces a method using domain extension polynomials (DEPs) to efficiently evaluate functions on large intervals in the state of homomorphic encryption. By iterating DEPs, the domain of a given function can be extended by a factor of k while preserving the features of the original function. This method is more efficient and requires less computational operations and memory compared to previous approaches.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Article
Ergonomics
Henrick J. Haule, Sultan Ali, Priyanka Alluri, Thobias Sando
Summary: The study evaluated the impact of ramp metering on the safety performance of freeway mainline, showing that ramp metering significantly reduces crash risk on segments downstream of entrance ramps.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Environmental Sciences
Andres M. Velez-Pereira, Concepcion De Linares, Miquel A. Canela, Jordina Belmonte
Summary: This study used logistic regression and regression trees to predict the daily concentration thresholds of six airborne fungal spore taxa in Catalonia. Both models showed similar results and satisfactory sensitivity and specificity. The logistic regression model was proposed as the best predictive model due to its higher precision and ease of use.
Article
Geosciences, Multidisciplinary
Peter Vogel, Peter Knippertz, Tilmann Gneiting, Andreas H. Fink, Manuel Klar, Andreas Schlueter
Summary: Statistical forecasts based on a simple logistic regression model show considerable potential for improvement in short-term global ensemble predictions of rainfall over northern tropical Africa, outperforming climatology-based forecasts. The performance of the model is related to African easterly waves and mesoscale convective systems, with the only exception being the dry outer tropics where extratropical influences dominate.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Computer Science, Information Systems
Luigi Riso, Marco Guerzoni
Summary: This paper addresses the issue of concept-drift in machine learning in high dimensional problems. It introduces a method that assesses concept drift as an independent characteristic of dataset evolution, regardless of the specific target variable. This method is particularly useful in business environments where the same dataset is used for multiple classifications. Unlike previous methods, it does not require re-testing of each new model, saving computational resources.
INFORMATION SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Khondoker Billah, Qasim Adegbite, Hatim O. Sharif, Samer Dessouky, Lauren Simcic
Summary: The study found that factors such as males, older drivers, weekend nighttime driving, dark lighting conditions, road grade, and presence of crosswalks, dividers, and marked lanes significantly increased the risk of severe intersection crashes. Recommendations include prioritizing resource allocation to high-risk intersections, separating bicycle lanes and sidewalks, improving lighting facilities, and introducing new traffic control measures at certain intersections.
Article
Environmental Sciences
Mohsen Abbasi Sekkeravani, Ommolbanin Bazrafshan, Hamid Reza Pourghasemi, Arashk Holisaz
Summary: This study prepared a susceptibility map of land subsidence in the central and eastern plains of Fars province in Iran using statistical and machine learning models, identified the main factors influencing land subsidence, and applied logistic regression, random forest, boosting regression tree, and support vector machine models to draw a land subsidence susceptibility zoning map.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Medicine, General & Internal
William J. Hulme, Elizabeth Williamson, Elsie M. F. Horne, Amelia Green, Helen I. I. McDonald, Alex J. J. Walker, Helen J. J. Curtis, Caroline E. Morton, Brian MacKenna, Richard Croker, Amir Mehrkar, Seb Bacon, David Evans, Peter Inglesby, Simon Davy, Krishnan Bhaskaran, Anna Schultze, Christopher T. Rentsch, Laurie Tomlinson, Ian J. Douglas, Stephen J. W. Evans, Liam Smeeth, Tom Palmer, Ben Goldacre, Miguel A. Hernan, Jonathan A. C. Sterne
Summary: The COVID-19 vaccines were developed and evaluated through randomized trials, but important questions remain unanswered. Observational studies and target trial emulation can provide valuable insights, although potential biases need to be managed. This article presents two approaches to emulate target trials using observational data.
ANNALS OF INTERNAL MEDICINE
(2023)
Article
Biochemical Research Methods
Zhuo Wang, Hsin-Yao Wang, Chia-Ru Chung, Jorng-Tzong Horng, Jang-Jih Lu, Tzong-Yi Lee
Summary: This study successfully identified associations of methicillin resistance with demographics and mass spectrometry data, and developed a machine-learning-based predictive model that can predict methicillin resistance in both discovery and replication populations, with an AUC >0.85. The predictive model enables early detection of methicillin resistance in patients with Staphylococcus aureus infection, highlighting potential candidates for improving treatment efficacy and prescription decisions.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Virology
Bo Meng, Guibin Li, Zhengyu Zeng, Baowen Zheng, Yuyue Xia, Chen Li, Minyu Li, Hairong Wang, Yuelong Song, Shihui Yu
Summary: This study demonstrates that HPV viral load and bacterial vaginosis are significantly associated with early-stage cervical lesions. Multiple diagnostic models were established, and the Xgboost model had the best performance, which can aid in the early diagnosis of cervical lesions.
Article
Medicine, General & Internal
Binila Chacko, Lovely Thomas, Roshni Sharma, Bijesh Yadav, Lakshmanan Jeyaseelan, Ashwin O. Arul, Punitha Victor, Vignesh K. Chandiraseharan, Audrin Lenin, Ronald A. B. Carey, Jonathan A. J. Jayakaran, Rajiv K. Krishnaswami, John Victor Peter
Summary: The study investigated the role of noninvasive ventilation in SARS-CoV2 related acute respiratory failure, finding that NIV success rate was 63.6% and factors associated with failure included lower admission PaO2 to FiO2 ratio and higher respiratory rate.
MAYO CLINIC PROCEEDINGS
(2022)
Article
Biodiversity Conservation
Qingzheng Wang, Qingyu Guan, Jinkuo Lin, Haiping Luo, Zhe Tan, Yunrui Ma
Summary: The study quantitatively analyzed the spatiotemporal changes in global land use/land cover (LULC) and found that the ecological environment underwent noticeable changes around the year 2000, with the most dramatic changes occurring during 1987-1997. The economy was identified as the main driving force behind LULC changes.
ECOLOGICAL INDICATORS
(2021)
Article
Chemistry, Multidisciplinary
Fani I. Gkountakou, Kosmas E. Bantilas, Ioannis E. Kavvadias, Anaxagoras Elenas, Basil K. Papadopoulos
Summary: This study investigates finite rocking rotations and overturn of three typical rocking systems using fuzzy linear regression (FLR) with triangular fuzzy numbers and a hybrid model combining logistic regression and fuzzy logic. Nonlinear time history analyses were performed to obtain the maximum response of three typical rocking structures, using 18 seismic intensity measures (IMs) extracted from recorded seismic accelerograms to predict the responses. Both FLR method and logistic regression were used to assess the finite rocking rotations and overturn, and evaluate the similarity between different rocking-based structural systems. The two fuzzy methods demonstrated satisfactory results with minimal deviations from the observed values, and high similarity ratios were observed among the various structures in the finite rocking rotation predictive models.
APPLIED SCIENCES-BASEL
(2023)
Article
Public, Environmental & Occupational Health
Rashid M. Ansari, Peter Baker
Summary: This study identified predictors of Covid-19 infection outcomes and developed prediction models, including factors such as total T cells and the number of infected cells in the blood. Results showed that factors like BMI, comorbidity, and specific cell types were significantly associated with infection severity, and the multivariate logistic regression model showed promise in predicting infection severity.
JOURNAL OF INFECTION AND PUBLIC HEALTH
(2021)