959 papers
This study demonstrates that integrated LC-MS and ¹H-NMR metabolomics effectively track the functional recovery of petroleum-contaminated Niger Delta farmland by revealing distinct metabolic reorganizations, such as increased amino acid and central carbon metabolism, that accompany successful bioremediation beyond simple contaminant reduction.
MonitorVLM-v2 is a deployed framework that transforms open-ended vision-language reasoning into efficient, single-step symbolic predictions via symbolic policy optimization and entropy-driven triage, achieving a 19.45-fold speed increase and significantly higher violation detection rates in real-time industrial safety monitoring compared to manual inspection.
RGBA-Net is a lightweight, state-of-the-art RGB-D salient object detection framework that employs an asymmetric dual-stream encoder, a depth reliability gate, and a boundary-aware fusion module to achieve high accuracy with only 3.49 million parameters while effectively mitigating depth noise and complexity.
This study physically characterized a facial vibrotactile stimulation device by quantifying the site-dependent mechanical displacement and non-uniform vibration at the contact surface, establishing that the stimulus cannot be accurately described by a single nominal value prior to clinical evaluation.
Chronic formaldehyde inhalation in rats mimicking occupational exposure leads to region-specific neurodegeneration of parvalbumin-expressing interneurons, neuroinflammation, and cognitive-motor deficits, highlighting significant neurological risks for individuals working in anatomy dissection settings.
This paper proposes and analyzes a residual-certified implicit product-integration method for nonlinear Caputo–Volterra equations that ensures discrete existence and uniqueness under a computable diagonal condition, provides a posteriori error bounds separating iteration and discretization errors, and achieves second-order convergence on graded meshes for solutions with initial singularities.
This blinded cluster randomized trial demonstrates that immersive virtual reality produces large but selective performance gains in nursing catheterization skills that are strictly aligned with rehearsed scenario components, while knowledge benefits remain smaller and more consistent, suggesting that VR's efficacy is largely dependent on the match between training scenarios and assessment criteria.
This paper introduces a unifying mechanical parameter based on the softness of functional coordinates relative to thermal noise to resolve biological information machines into collective modes, thereby deriving consistent thermodynamic limits for capacity and energy costs while successfully predicting empirical behaviors across ribosomes, ion pumps, and synapses.
This paper introduces Azra, a Vision-Language Model framework for Ottoman Turkish handwritten text recognition that achieves state-of-the-art performance through LoRA fine-tuning on curated data and demonstrates that autonomous data bootstrapping can effectively match curated approaches while significantly reducing annotation costs.
This 3-year follow-up study of seven patients with relapsed/refractory primary cutaneous diffuse large B-cell lymphoma, leg type, demonstrates that while CD19 CAR-T cell therapy achieved a 71.4% overall response rate, long-term disease control remains challenging with significant recurrence and mortality risks, highlighting the need for post-therapy maintenance strategies and close monitoring for local cytokine release syndrome in high tumor burden patients.