Deep Learning-Assisted Fluorescence Single-Particle Detection of Fumonisin B Powered by Entropy-Driven Catalysis and Argonaute.

Timely and accurate detection of trace mycotoxins in agricultural products and food is significant for ensuring food safety and public health. Herein, a deep learning-assisted and entropy-driven catalysis (EDC)-Argonaute powered fluorescence single-particle aptasensing platform was developed for ultrasensitive detection of fumonisin B (FB) using single-stranded DNA modified with biotin and red fluorescence-encoded microspheres as a signal probe and streptavidin-conjugated magnetic beads as separation carriers. The binding of aptamer with FB releases the trigger sequence to mediate EDC cycle to produce numerous 5'-phosphorylated output sequences, which can be used as the guide DNA to activate downstream Argonaute (Ago) for cleaving the signal probe, resulting in increased number of fluorescence microspheres remaining in the final reaction supernatant after magnetic separation.

Predicting phage-host interaction via hyperbolic Poincaré graph embedding and large-scale protein language technique.

Bacteriophages (phages) are increasingly viewed as a promising alternative for the treatment of antibiotic-resistant bacterial infections. However, the diversity of host ranges complicates the identification of target phages. Existing computational tools often fail to accurately identify phages across different bacterial species.

GBR assisted Onlay bone grafting for the posterior maxillary horizontal ridge augmentation: a case report and literature review.

The posterior mandible is the primary area for occlusal function. However, long-term tooth loss in the posterior mandible often leads to rapid absorption of both buccal and lingual trabecular bone plates and subsequent atrophy of the alveolar ridge. This ultimately results in horizontal bone deficiencies that complicate achieving an optimal three-dimensional placement for dental implants.

Hierarchical Neurocognitive Model of Externalizing and Internalizing Comorbidity.

Mounting evidence suggests hierarchical psychopathology factors underlying psychiatric comorbidity. However, the exact neurobiological characterizations of these multilevel factors remain elusive. In this study, leveraging the brain-behavior predictive framework with a 10-year longitudinal imaging-genetic cohort (IMAGEN, ages 14, 19 and 23,  = 1,750), we constructed two neural factors underlying externalizing and internalizing symptoms, which were reproducible across six clinical and population-based datasets (ABCD, STRATIFY/ ESTRA, ABIDE II, ADHD-200 and XiNan, from age 10 to age 36,  = 3,765).

Development of a Nomogram and Risk Grouping System for Predicting 1-Year Overall Survival of Patients With Atypical Teratoid/Rhabdoid Tumors.

Purpose: Atypical teratoid/rhabdoid tumor (AT/RT) is a kind of central nervous system malignant tumor in children. In this study, we aimed to develop a practically clinical nomogram and risk grouping system to predict 1-year overall survival for patients with atypical teratoid/rhabdoid tumor.

Methods: The nomogram was constructed based on the pediatric tumor registry of Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine.