Retraction: Fatal Prion Disease in a Mouse Model of Genetic E200K Creutzfeldt-Jakob Disease
by The PLOS Pathogens Editors
by The PLOS Pathogens Editors
by The PLOS Pathogens Editors
by Amon Masache, Precious Mdlongwa, Daniel Maposa, Caston Sigauke
The renewable energy industry requires accurate forecasts of intermittent solar irradiance (SI) to effectively manage solar power generation and supply. Introducing the random forests (RFs) model and its hybridisation with quantile regression modelling, the quantile regression random forest (QRRF), can help improve the forecasts’ accuracy. This paper assesses the RFs and QRRF models against the quantile generalised additive... Читать дальше...
by Hun Kang, Ian C. Fischer, Peter J. Na, Robert H. Pietrzak
In line with the US Department of Veterans Affairs’ adoption of a Whole Health approach to healthcare, there has been growing interest in factors linked to veterans’ perceptions of well-being. To date, no known study has examined levels and correlates of perceived happiness in this population. To examine this question, we analyzed data from the National Health and Resilience in Veterans Study, which surveyed a nationally representative sample of 4,069 US military veterans. Читать дальше...
by Bing Li, Yuqi Hou, Jiangtao Dong, Biao Yang, Xile Wang
The rapid expansion of online education platforms has led to an influx of false reviews, complicating users’ ability to identify suitable courses promptly. Addressing these challenges, this paper introduces ICRA (Intelligent Course Review Analysis), a novel model that identifies and filters false reviews using a custom sentiment lexicon and a pre-trained ERNIE 3.0 model. ICRA enhances data quality by analyzing user reviews and course... Читать дальше...
by Selina M. Weiler, Christian Duer, Dustin Krämer, Thomas Jacobsen
Scientific interest in body modifications continues to grow, and tattoos have recently become a subject of empirical aesthetics. While conceptual structures of tattoo aesthetics have been studied, the question of how tattoos are aesthetically appreciated has not yet been studied. In this study, we examined how tattoos influence the aesthetic appreciation of human stimuli and uncovered differences in beauty perceived by individuals older and younger than 50... Читать дальше...
by Stuart J. Fischbein, Rixa Freeze
BackgroundResearch on community (home or birth center) twin birth is scarce. This study evaluates outcomes of twin pregnancies entering care with a single community practitioner.
MethodsThis is a retrospective observational cohort study of 100 consecutive twin pregnancies planning community births during a 12-year period. Outcomes measured included mode of birth; birth weights; Apgar scores; ante-, intra-, and post-partum transports; perineal... Читать дальше...
by Joshua Culpepper, Lei Huang, R. Iestyn Woolway, Sapna Sharma
Millions of people rely on lake ice for safe winter recreation. Warming air temperatures impact the phenology (timing of formation and breakup) and quality (ratio of black to white ice) of lake ice cover, both critical components of ice safety. Later formation and earlier breakup of lake ice lead to overall shorter periods of use. However, greater proportions of white ice may further inhibit safe ice use owing to its lower weight-bearing capacity. Читать дальше...
by Koyel Majumdar, Romina Silva, Antoinette Sabrina Perry, Ronald William Watson, Andrea Rau, Florence Jaffrezic, Thomas Brendan Murphy, Isobel Claire Gormley
Читать дальше...
by Rabi Joël Gansaonré, Lynne Moore, Jean-François Kobiané, Aly Sié, Slim Haddad
Читать дальше...
by Fange Meng, Xin Wen
With the decrease in fertility rate and the extension of life expectancy, China’s ageing degree is deepening, and there is a decrease in the number of labor force individuals, leading to an increase in the burden of old-age care and constraining economic growth. The improvement of human capital can promote economic growth. Research is rquired to determine whether factors such as the teacher-student ratio (quality of education) and the average number of years of schooling... Читать дальше...
by Satoshi Morita, Toshiaki Sueyasu, Hisanori Tokuda, Yoshihisa Kaneda, Takayuki Izumo, Kazuji Nishikawa, Takashi Kusumi, Yoshihiro Nakao
Читать дальше...
by Jan-Willem Simons, Bart-Jan Boverhof, Emmeke Aarts
The hidden Markov model is a popular modeling strategy for describing and explaining latent process dynamics. There is a lack of information on the estimation performance of the Bayesian hidden Markov model when applied to categorical, one-level data. We conducted a simulation study to assess the effect of the 1) number of observations (250—8.000), 2) number of levels in the categorical outcome variable (3—7), and 3) state distinctiveness... Читать дальше...
by Yingjie Huang, Bofan Zhang, Jiayu Liu
This work aims to study the visual matching cognition of people with different professional backgrounds for automobile interiors and exteriors, using gasoline-powered automobiles and electric automobiles as the research objects. First, three classes of automobiles, B-class, C-class, and sport-type class automobiles, of different brands, with large differences in styling and styles, were taken as the experimental sample sources, and high-definition... Читать дальше...
by Rashida-E Ijdi, Janine Barden-O’Fallon
ObjectiveIntimate Partner Violence (IPV) continues to be a major global public health concern, impacting physical and psychological well-being of individuals, including their reproductive and sexual health. The objective of this study is to examine the association between physical intimate partner violence and the utilization of contraception during the postpartum period in the United States.
MethodThis study used data from the CDC’s Pregnancy... Читать дальше...
by Yuanmin Zhang, Kexin Xu, Chunzhi Xie, Zhisheng Gao
In the task of emotion inference, a common issue is the lack of common sense knowledge, particularly in the context of dialogue, where traditional research has failed to effectively extract structural features, resulting in lower accuracy in emotion inference. To address this, this paper proposes a dialogue emotion inference model based on Common Sense Enhancement and Graph Model (CEICG). This model integrates external common sense with... Читать дальше...
by Ángela Randazzo-Eisemann, Ana Lilia Molina-Hernández, Lorenzo Alvarez-Filip, Joaquín Rodrigo Garza-Pérez
Читать дальше...
by James Eckhardt, Aditya Vaidya, Sean Cutler
Seed germination is critical to agricultural productivity because low germination rates and/or asynchronous germination negatively affect stand establishment and subsequent yields. Exposure to high temperatures during seed imbibition can decrease both germination synchrony and rates through an ABA-mediated process called thermoinhibition. Methods to reduce thermoinhibition would be agriculturally valuable, particularly with increasing global mean temperatures. Читать дальше...
by Jorman H. Tejada-Perdomo, Carlos E. Melo-Moreno, Jesús H. Tovar-Cardozo, Jorge A. Ramos-Castaneda
Читать дальше...
by Hanchen Zhang, Hang Yi, Si Qin, Xiaoyin Liu, Guangjian Liu
BackgroundForecasting the patient’s response to neoadjuvant chemoradiotherapy (nCRT) is crucial for managing locally advanced rectal cancer (LARC). This study investigates whether a predictive model using image-text features extracted from endorectal ultrasound (ERUS) via Contrastive Language-Image Pretraining (CLIP) can predict tumor regression grade (TRG) before nCRT.
MethodsA retrospective analysis of 577 LARC patients... Читать дальше...
by Arianna Bunnell, Kailee Hung, John A. Shepherd, Peter Sadowski
Development of artificial intelligence (AI) for medical imaging demands curation and cleaning of large-scale clinical datasets comprising hundreds of thousands of images. Some modalities, such as mammography, contain highly standardized imaging. In contrast, breast ultrasound imaging (BUS) can contain many irregularities not indicated by scan metadata, such as enhanced scan modes, sonographer annotations, or additional views. Читать дальше...
by Lihua Qiu, Zhaoxia Ma, Jinyan Li, Zhen Wu, Longmei Dai, Ruimin Long, Linlin Hu, Jianxiu Sun, Min Hu, Yanjiao Li
Читать дальше...
by Jie Cao, Nur Naha Abu Mansor, Jinhua Li
This study aims to examine the relationship between work competency factors—namely knowledge, skills, traits, motives, and self-concepts—and job performance among university counsellors in China. Data were collected from 310 university counsellors using multiple sampling techniques. Partial Least Squares Structural Equation Modeling (PLS-SEM), via Smart-PLS version 3.3.2, was employed for data analysis. The findings revealed that four competency factors—knowledge... Читать дальше...
by Thi Thuy An Ngo, Chi Hai Vo, Ngoc Lien Tran, Khanh Vy Nguyen, Thanh Dat Tran, Yen Nhi Trinh
Читать дальше...
by Feng Shen, Xiaodong Yan, Yuhuang Shang
In this study, the traditional lag structure selection method in the Mixed Data Sampling (MIDAS) regression model for forecasting GDP was replaced with a machine learning approach using the particle swarm optimization algorithm (PSO). The introduction of PSO aimed to automatically optimize the MIDAS model’s mixed-frequency lag structures, improving forecast accuracy and resolving the "forecast accuracy" and "forecast cost" weighting problem. The Diebold–Mariano... Читать дальше...