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Face age modulates face ensemble coding.

Vision Res

January 2025

Department of Psychology, College of Education, Hunan Agricultural University.

Research has demonstrated that humans possess the remarkable ability to swiftly extract ensemble statistics, specifically the average identity, from sets of stimuli, such as facial crowds. This phenomenon is known as ensemble perception. Although previous studies have investigated how physiognomic features like gender and race influence face ensemble perception, the impact of face age on face ensemble coding performance remains a relatively unexplored area.

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Anaerobic probiotics-in situ Se nanoradiosensitizers selectively anchor to tumor with immuno-regulations for robust cancer radio-immunotherapy.

Biomaterials

January 2025

Department of Pharmacy of Puning People's Hospital (Guangdong Postdoctoral Innovation Practice Base of Jinan University), Department of Chemistry, State Key Laboratory of Bioactive Molecules and Druggability Assessment, MOE Key Laboratory of Tumor Molecular Biology, Jinan University, Guangdong, 510632, China. Electronic address:

Developing translational nanoradiosensitizers with multiple activities in sensitizing tumor cells and re-shaping tumor immunosuppressive microenvironments are urgently desired for addressing the poor therapeutic efficacy of radiotherapy in clinic. Inspired by the anaerobic and immunoagonist properties of the probiotic (bifidobacterium longum, BL), herein, a biomimetic Selenium nanoradiosensitizer in situ-formed on the surface of the probiotic (BL@SeNPs) is developed in a facile method to potentiate radiotherapy. BL@SeNPs selectively target to hypoxia regions of tumors and then anchor on the surface of tumor cells to inhibit its proliferation.

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Psychological chronic pain treatments have variable efficacy across individual patients, and on average tend to produce modest effects. In order to improve treatment outcomes, the past decade has seen a rapid increase in research focused on determining the mechanisms underlying treatment-related gains. The near exclusive focus of this research has been on uncovering patient-related mediators and moderators.

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Objective: To explore the network structure of common geriatric syndromes and conditions in physically disabled older adults.

Methods: We chose fourteen common geriatric syndromes and conditions from the dataset and estimated networks with the partial correlation network method. We tested the stability and accuracy of the network using the package "bootnet" in R software.

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The feasibility of using machine learning to predict COVID-19 cases.

Int J Med Inform

January 2025

School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:

Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.

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