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http://dx.doi.org/10.1136/heartjnl-2022-321919 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa 56025, Italy.
Aquatic microorganisms typically inhabit a heterogeneous resource landscape, composed of localized and transient patches. To effectively exploit these resources, they have evolved a wide range of feeding strategies that combine chemotactic motility with active feeding flows. However, there is a notable lack of experimental studies that examine how these active flows shape resource fields to optimize feeding.
View Article and Find Full Text PDFNanomicro Lett
August 2025
School of Materials Science and Engineering, Shandong University of Technology, Zibo, 255000, People's Republic of China.
A rapidly growing field is piezoresistive sensor for accurate respiration rate monitoring to suppress the worldwide respiratory illness. However, a large neglected issue is the sensing durability and accuracy without interference since the expiratory pressure always coupled with external humidity and temperature variations, as well as mechanical motion artifacts. Herein, a robust and biodegradable piezoresistive sensor is reported that consists of heterogeneous MXene/cellulose-gelation sensing layer and Ag-based interdigital electrode, featuring customizable cylindrical interface arrangement and compact hierarchical laminated architecture for collectively regulating the piezoresistive response and mechanical robustness, thereby realizing the long-term breath-induced pressure detection.
View Article and Find Full Text PDFHealth Expect
August 2025
Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Introduction: Patient navigation was first envisioned to assist marginalized cancer patients access timely healthcare services by identifying and addressing social barriers to care. While this understanding of patient navigation may still hold for a subgroup of programs today, its expansion over the past 30 years has resulted in a diverse set of interventions with distinct care settings, patient eligibility criteria, navigator training requirements and program goals. This study aimed to explore patients' understanding of patient navigation programs to identify program features that are of particular value and importance to them.
View Article and Find Full Text PDFCommun Eng
August 2025
School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Federated Learning (FL) is a distributed framework that enables collaborative training of a server model across medical data vendors while preserving data privacy. However, conventional FL faces two key challenges: substantial data heterogeneity among vendors and limited flexibility from a fixed server, leading to suboptimal performance in diagnostic-imaging tasks. To address these, we propose a server-rotating federated learning method (SRFLM).
View Article and Find Full Text PDFExpert Opin Ther Targets
August 2025
Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute and Cancer Hospital, Tianjin, China.
Introduction: Osteosarcoma, a highly aggressive bone tumor, continues to pose significant treatment challenges despite advances in molecular research. Traditional therapeutic strategies have largely relied on targeting genetic alterations of tumor genes or signaling pathways, but these approaches have been less effective in clinical settings due to the complex biology.
Areas Covered: Recent insights into the molecular landscape of osteosarcoma have revealed key mechanisms of therapeutic resistance, including tumor plasticity, immune evasion, and metabolic reprogramming.