Reduced major axis (RMA) regression, widely used in the fields of zoology, botany, ecology, biology, spectroscopy, and among others, outweighs the ordinary least square regression by relaxing the assumption that the covariates are without measurement errors. A Bayesian implementation of the RMA regression is presented in this paper, and the equivalence of the estimates of the parameters under the Bayesian and the frequentist frameworks is proved. This model-based Bayesian RMA method is advantageous since the posterior estimates, the standard deviations, as well as the credible intervals of the estimates can be obtained through Markov chain Monte Carlo methods directly. In addition, it is straightforward to extend to the multivariate RMA case. The performance of the Bayesian RMA approach is evaluated in the simulation study, and, finally, the proposed method is applied to analyze a dataset in the plantation.
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http://dx.doi.org/10.1002/bimj.202300279 | DOI Listing |
Health Educ Behav
January 2025
NYU, New York, NY, USA.
Heavy drinking is a major public health concern, particularly among young adults who often experience fear of being stigmatized when seeking help for alcohol-related problems. To address drinking concerns outside clinical settings, we tested the feasibility of a novel imagery-based behavior change strategy led by student lay interventionists in a college setting. Participants were adults recruited on a college campus and were randomized to either learn the four steps of WOOP (Wish, Outcome, Obstacle, and Plan) or to learn a format-matched Sham WOOP (Wish, Outcome, "Outcome," and Plan).
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Schleswig-Holstein, Kiel, Germany.
Introduction: Several aspects of the involvement of HPV in the pathogenesis of HPV-associated diseases remain poorly understood including mechanistic aspects of infection and the question of why the majority of HPV-positive HNSCC-patients are non-smokers, whereas HPV-negatives are smokers. Our previous research, based on 1,100 patient samples, hypothesized an explanation for this phenomenon: Smoking induces upregulation of a mucosal protective protein (SLPI), which competes with HPV for binding to Annexin A2 (AnxA2), pivotal for HPV cell entry. Here we investigate the mechanistic aspects of our hypothesis using transfection assays.
View Article and Find Full Text PDFRegen Biomater
December 2024
Guangxi Engineering Center in Biomedical Material for Tissue and Organ Regeneration, Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed By the Province and Ministry, Guangxi Key Laboratory of Regenerative Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China.
Injury caused by excess reactive oxygen species (ROS) may lead to susceptibility to bacterial infection and sustained inflammatory response, which are the major factors impeding diabetic wound healing. By utilizing optimal anti-inflammatory, antioxidant and antibacterial biomaterials for multifunctional wound dressings is critical in clinical applications. In this study, a novel electrospun PLGA/MoS@Pd nanofiber membrane was synthesized by encapsulating antioxidant and near-infrared (NIR) responsive MOS@Pd nanozymes in PLGA nanofibers to form a multifunctional dressing for diabetic wound repair.
View Article and Find Full Text PDFOncol Lett
March 2025
Department of General Surgery, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China.
Chemoresistance is a major obstacle in the treatment of gastric cancer (GC). Notably, aberrant expression of microRNAs (miRs) is closely related to tumor development and progression. In the present study, the role of miR-424-5p in the chemoresistance of GC was investigated.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.
Persistent infection with high-risk human papillomavirus (hrHPV) is a major cause of cervical cancer. The effectiveness of current HPV-DNA testing, which is crucial for early detection, is limited in several aspects, including low sensitivity, accuracy issues, and the inability to perform comprehensive hrHPV typing. To address these limitations, we introduce MTIOT (Multiple subTypes In One Time), a novel detection method that utilizes machine learning with a new multichannel integration scheme to enhance HPV-DNA analysis.
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