959 papers
This paper proposes a fast one-step multi-view clustering method that unifies spectral clustering and nonnegative matrix factorization with tensor log-determinant regularization to effectively capture high-order cross-view correlations and achieve superior performance and scalability compared to state-of-the-art methods.
Repeated rapid short-pulse focused ultrasound combined with microbubbles safely delivers the cobalt-based inhibitor CoLAm2 across the blood-brain barrier in 5XFAD mice, resulting in a significant 60.5% reduction in amyloid-beta plaque aggregation without adverse behavioral effects.
In a prospective non-randomized cohort study of patients undergoing laparoscopic anterior resection with a diverting loop ileostomy, mechanically closing the distal limb did not significantly reduce anastomotic leakage or other complications compared to non-closure, but was associated with longer hospital stays and delayed return of bowel function.
Using open-access big data and machine learning ensembles, this study quantifies the anthropogenic impacts on habitat suitability and niche overlap between common leopards, snow leopards, and their prey in Nepal's Gaurishankar Conservation Area, revealing significant human-induced spatial overlaps that inform targeted global conservation strategies.
This study utilizes Structural Equation Modeling on 230 tuberculosis patients in Indonesia to demonstrate that Information and Motivation significantly influence Behavioral Skills, with Information being the dominant factor, thereby validating the Information-Motivation-Behavioral Skills model for guiding adherence strategies.
This paper presents a novel numerical model and moment-balance sanding criterion to predict sand production in loosely consolidated sandstones, demonstrating that the approach accurately matches experimental data and reveals that reducing production rates can significantly mitigate sand erosion and its impact on near-wellbore porosity and permeability.
This study proposes a novel tool wear prediction framework that integrates a mechanistic cutting bending moment model with a diffusion model via Feature-wise Linear Modulation to generate physically consistent synthetic signals, thereby significantly improving prediction accuracy under unseen conditions while drastically reducing the need for extensive real-world training data.
This retrospective study demonstrates that while both Double-J stent placement and Percutaneous Nephrostomy effectively relieve unilateral acute obstructive hydronephrosis with comparable renal functional outcomes, Double-J stents offer superior pain control and Health-Related Quality of Life improvements.
This study demonstrates that Trametes versicolor laccase can efficiently co-transform quercetin and caffeic acid under mild conditions to generate novel phenolic derivatives with improved aqueous solubility and preserved cytotoxic activity, offering a sustainable strategy to overcome the limitations of these compounds.
This study reveals that PD-1 inhibits T cell activation through a dual-layered mechanism where it not only activates SHP2's phosphatase activity but also remodels SHP2 into a highly open conformation that acts as a non-catalytic biophysical barrier to dismantle TCR and CD28 signaling condensates.