A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment.

In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imbalanced data, local optima, and parameter adjustment complexities. Thus, this paper introduces a novel hybrid unsupervised classification method, named the two-stage hybrid system with spectral clustering and semi-supervised support vector machine (TSC-SVM), which effectively addresses the unsupervised imbalance problem in credit risk assessment by targeting global optimal solutions.

Single-Nucleus RNA Sequencing Reveals Cellular Transcriptome Features at Different Growth Stages in Porcine Skeletal Muscle.

Porcine latissimus dorsi muscle (LDM) is a crucial source of pork products. Meat quality indicators, such as the proportion of muscle fibers and intramuscular fat (IMF) deposition, vary during the growth and development of pigs. Numerous studies have highlighted the heterogeneous nature of skeletal muscle, with phenotypic differences reflecting variations in cellular composition and transcriptional profiles.

Efficient Cytosolic Delivery of Single-Chain Polymeric Artificial Enzymes for Intracellular Catalysis and Chemo-Dynamic Therapy.

Designing artificial enzymes for in vivo catalysis presents a great challenge due to biomacromolecule contamination, poor biodistribution, and insufficient substrate interaction. Herein, we developed single-chain polymeric nanoparticles with Cu/N-heterocyclic carbene active sites (SCNP-Cu) to function as peroxidase mimics for in vivo catalysis and chemo-dynamic therapy (CDT). Compared with the enzyme mimics based on unfolded linear polymer scaffold and multichain cross-linked scaffold, SCNP-Cu exhibits improved tumor accumulation and CDT efficiency both in vitro and in vivo.

Impact of normocapnia vs. mild hypercapnia on prognosis after cardiac arrest: A systematic review and meta-analysis.

Objective: To explore the impact of mild hypercapnia or normocapnia on the prognosis of patients after the return of spontaneous circulation (ROSC) following cardiac arrest (CA).

Methods: This systematic review and meta-analysis followed the guidelines in the PROSPERO report. Information was retrieved in PubMed, Cochrane Library, Embase, and Web of Science to collect all publications in English from January 1, 2000, to March 1, 2024, involving post-CA with mild hypercapnia.

Visualization of Hg Stress on Plant Health at the Subcellular Level Revealed by a Highly Sensitive Fluorescent Sensor.

The presence of Hg causes substantial stress to plants, adversely affecting growth and health by disrupting cell cycle divisions, photosynthesis, and ionic homeostasis. Accurate visualization of the spatiotemporal distribution of Hg in plant tissues is crucial for the management of Hg pollution; however, the related research is still at its early stage. Herein, a small-molecule amphiphilic fluorescent probe (termed ) was developed for the specific detection of Hg with a high sensitivity (~16 nM).