Seq2Karyotype (S2K): A Method for Karyotyping Using Single-Sample Whole-Genome Sequencing Data.

DNA abnormalities characterized by cytogenetic imaging at the single cell resolution, i.e. karyotyping, have long served as cancer diagnostic and prognostic biomarkers.

CanID: a robust and accurate RNAseq Expression-based diagnostic classification scheme for pediatric malignancies.

Cancer subtype classification is critical for precision therapy and there is a growing trend of augmenting histopathology testing procedures with omics-based machine learning classifiers. However, analytical challenges remain for pediatric cancer on the scope and precision of the current classifiers as well as the evolving subtype standardization. To address these challenges, we built Cancer Identification or CanID, a stacked ensemble machine learning classification scheme, using the transcriptomic features derived from gene-level RNA sequencing count data as the sole input.

Confounding factors affecting analysis of germline structural variants in pediatric solid tumors.

We provide data showing the germline predisposition structural variants (SV) involving and reported by Gillani et al. (2025) in pediatric solid tumors are confounded by circulating tumor DNA (ctDNA) and enrichment for Hispanic or Latino ancestry, respectively. We suggest that future germline studies should ensure analyses of tumor-in-normal contamination for non-polymorphic markers and careful examination of population stratification for polymorphic markers to ensure clinical relevance.

Atmospheric turbulence induced phase distortions: the principal component analysis and optimized correction strategy.

In this paper, we propose a method to correct phase aberrations caused by atmospheric turbulence based on principal component analysis (PCA). The results show that the method based on principal components (PCs) can effectively correct atmospheric turbulence induced phase distortions, whether the Kolmogorov spectrum is satisfied or not. The PCs showed higher sensitivity on key terms than Zernike polynomials (ZPs).

Palmitoylation Transduces the Regulation of Epidermal Growth Factor to Organic Anion Transporter 3.

Organic anion transporter 3 (OAT3) in the kidney proximal tubule cells plays a critical role in renal clearance of numerous endogenous metabolites and exogenous drugs and toxins. In this study, we discovered that epidermal growth factor (EGF) regulates the expression and activity of OAT3 through palmitoylation, a novel mechanism that has never been described in the OAT field. Our results showed that treatment of OAT3-expressing cells with EGF led to a ~40% increase in OAT3 expression and OAT3-mediated transport of estrone sulfate, a prototypical substrate for OAT3.

Why Do Migrant Children Have Poorer Mental Health Compared to Urban Children? A Network Analysis Approach.

Introduction: Although mobility has been identified as a significant risk factor adversely affecting mental health and well-being, the mechanisms underlying this association remain insufficiently understood. Unlike traditional linear regression approaches, this study applies network analysis to systematically explore how multiple family risk factors collectively affect problem behaviors in migrant and urban preschoolers.

Methods: A total of 1,469 children (500 urban, 959 migrant) and their parents were recruited.

[Genetic analysis of a patient with Weiss-Kruszka syndrome due to variant of ZNF462 gene].

Objective: To explore the clinical characteristics and genetic etiology of a patient with Weiss-Kruszka syndrome (WSKA).

Methods: A male patient presented with primary infertility for 1 year post-marriage, intellectual disability, and blepharoptosis at Huzhou Maternity and Child Health Care Hospital from October to December 2024 was selected as the study subject. Peripheral blood samples were collected from the patient and his family members.

Parental co-parenting quality, children's emotion regulation abilities, and prosocial behavior.

Objective: This study used latent profile analysis to explore latent profiles of parental coparenting quality and their relationships with children's prosocial behavior, and to examine the mediating role of children's emotion regulation abilities.

Methods: A sevenmonth longitudinal survey was conducted with 496 father-mother-child triads (fathers: M = 36.95, SD = 4.

Numerical simulation of ventilated supercavitating flow structure.

This paper presents a numerical investigation into the effects of various parameters on the supercavitating flow field structure. Using the Delayed Detached Eddy Simulation (DES) method, the supercavitation flow was analyzed in detail, and the reliability of the numerical approach was verified through comparison with experimental results. The effects of cavitator rudder angle, cavitator diameter, aft-body shape, angle of attack, and tail fins on the supercavity morphology and flow field structure were explored under different simulation conditions.

Identification of Androgen Receptor as a Molecular Docking Target for Survival and Response to Metformin-Induced Ferroptosis in Liver Cancer.

Background: Hepatocellular Carcinoma (HCC) ranks among the most prevalent human cancers and stands as the third most common cause of death related to cancer globally. Current therapies for HCC include surgical resection, local ablation, chemoembolization, liver transplantation, and molecular-targeted therapy. Only a small number of patients are detected in the early stage, and most patients are diagnosed at the time of the middle and late stages, thus losing the opportunity for surgical treatment, which is an essential reason for the high mortality of HCC patients.

Comparative Effects of Different Forms of Dietary Supplemental Selenium in Hot Environment-induced Endoplasmic Reticulum Stress in Pigs.

Background: Dietary selenium (Se) supplementation shows protective effects against heat stress in pigs, although further research is needed to fully understand its underlying processes.

Objective: This study aimed to compare the effects of 3 forms of dietary supplemental Se on biochemical, physiological, and production responses in heat-stressed pigs.

Methods: Forty pigs [(Large White × Landrace) ×Duroc], female, 2.

Machine Learning-Guided Conductivity Prediction in 2D Organic Metal Chalcogenides for Accelerated Electromagnetic Wave Absorber Design.

The rational design of electromagnetic wave (EMW) absorbers relies on precise conductivity control, yet conventional trial-and-error methods fail to efficiently explore the multidimensional synthesis parameter space of two-dimensional organic metal chalcogenides (2D OMCs). Here, we propose a machine learning framework that deciphers the nonlinear relationships between synthetic parameters and electrical conductivity in 2D OMCs, enabling quantitative predictions for targeted EMW absorber design. The trained model achieves 86% accuracy in three-level conductivity classification (I: <10 S/m, II: 10-10 S/m, III: >10 S/m), significantly outperforming empirical approaches.

Confounding factors in assessing the enriched expression of somatic mutant allele in bulk tumor samples.

Allele-specific expression (ASE) of somatic mutations can be caused by -activation of the mutant allele or silencing of the wildtype allele and has been investigated by examining the enrichment of mutant allele in RNA relative to DNA. Here we show that this mutation-based approach can be confounded by gene expression differences in tumor and normal cells which co-exist in most bulk tumor samples. We modeled mutant allele expression by incorporating tumor/normal expression difference, mutant allele dosage, tumor purity, and nonsense-mediated decay (NMD) efficiency, projecting that the enrichment can occur without ASE.

Underwater 3D measurement based on improved YOLOv8n and laser scanning imaging device.

The wide range of optical planes in underwater laser imaging results in the presence of a large number of noisy light bars in the background region. Since the shape and intensity of these noisy light bars are very similar to the target information, it is difficult to detect and eliminate them accurately. In this paper, a deep learning algorithm named YOLOv8-FWR is proposed, which can effectively improve the efficiency and quality of underwater laser imaging by combining with laser scanning imaging equipment.

Millimeter-scale niche differentiation of N-cycling microorganisms across the soil-water interface has implications for N2O emissions from wetlands.

Wetlands can be a significant source of N2O under current global climate change regime with the soil-water interface representing a biogeochemical hotspot for microbial activity. However, the role of soil-water interface in controlling N2O emissions remains poorly understood. We hypothesized that the millimeter-scale redox gradient across the soil-water interface generates corresponding distinct niche for N-cycling microorganisms that collectively regulate the production and consumption of N2O over the same spatial scale.

Risk Factors of Catheter-Related Thrombosis in Elderly Patients with Lung Cancer Based on Thromboelastography: A Retrospective, Case-Control Study.

Catheter-related thrombosis (CRT) poses serious risks for cancer patients. Identifying risk factors and implementing targeted interventions can prevent CRT. To explore thromboelastogram parameters and clinical risk factors for CRT in elderly lung cancer patients.

Enhanced cytotoxicity of T-DM1 in HER2-low carcinomas via autophagy inhibition.

Ado-trastuzumab emtansine (T-DM1), a conjugate of trastuzumab and the cytotoxic agent emtansine, has demonstrated significant antitumor efficacy in HER2-positive (HER2+) carcinoma. However, its effectiveness is limited against carcinoma cells with low HER2 expression (HER2-low). Here, we demonstrate that targeting autophagy enhances the cytotoxicity of T-DM1 against HER2-low SGC7901 cells, highlighting the potential of autophagy modulation in improving T-DM1-based therapies for HER2-low carcinomas.

Multiomics Reveal the Effects and Regulatory Mechanism of Naringin on Metabolic Dysfunction-Associated Fatty Liver Disease of Laying Hens.

This study aimed to utilize aged laying hens as a model to investigate the effects of naringin on the occurrence and progression of metabolic dysfunction-associated fatty liver disease (MAFLD), along with its underlying regulatory mechanisms. A total of 288 aged laying hens, 50-week-old, were divided into four groups: a normal diet (ND) group, and three naringin groups receiving 200 mg/kg (N1), 400 mg/kg (N2), and 600 mg/kg (N3). The experiment lasted for 10 weeks, after which serum, liver, and cecal contents were collected from the hens.

A Behavioral and fNIRS Comparative Study of Gender and Task Differences in Mental Rotation Among Primary Students.

Purpose: This study investigated the sex and task effects in mental rotation (MR) among Chinese primary school students, employing behavioral assessments and functional near-infrared spectroscopy (fNIRS) for a comprehensive analysis.

Method: The sample consisted of 62 Grade 4 and 5 students aged between 9.58 and 11.

Integrated Whole Genome and Transcriptome Sequencing as a Framework for Pediatric and Adolescent AML Diagnosis and Risk Assessment.

Pediatric acute myeloid leukemia (AML) exhibits distinct genetic characteristics, including unique driver alterations and mutations with prognostic and therapeutic significance. Emerging rare, recurrent genetic abnormalities and their associations with outcomes emphasize the need for high-throughput molecular diagnostic tools. Whole genome sequencing (WGS) reliably detects key AML biomarkers such as structural variants, mutations, and copy number alterations.

Multi-Omics Reveal the Effects and Regulatory Mechanism of Dietary Magnolol Supplementation on Production Performance of Post-Peak Laying Hens.

This study aimed to investigate the therapeutic effects of magnolol on production performance in postpeak laying hens. We divided the hens into three groups (ND, MAG300, MAG500) and conducted a 10-week feeding trial. The results indicated that daily supplementation with magnolol improved the laying rate, reduced the feed-to-egg ratio, controlled liver fat accumulation, and alleviated ovarian oxidative stress and apoptosis.

Embedding Carbon Nanotubes in Artificial Cells Enhances Probe Transfer.

Monitoring intracellular biomarkers is crucial for clinical disease diagnosis. However, the majority of signaling molecules face difficulties in slow transference across the cell membrane to reach intracellular detection sites, limiting their application in clinical settings. This study proposes an artificial cell-based signal probe transfer-enhanced sensing strategy to effectively detect microRNAs (miRNAs) by embedding carbon nanotubes (CNTs) in artificial cell membranes.

Parental Technoference and Child Problematic Media Use: Meta-Analysis.

Background: Parental technoference, the interruption of parent-child interactions by technology, has been associated with negative outcomes in children's media use. However, the magnitude of this relationship and its moderating factors remain unclear.

Objective: This study aims to systematically examine the relationship between parental technoference and child problematic media use, as well as to identify moderating factors such as age, parental technoference group, study design, and type of problematic media use.

Detecting and localizing cervical lesions in colposcopic images with deep semantic feature mining.

Objective: This study aims to investigate the feasibility of employing artificial intelligence models for the detection and localization of cervical lesions by leveraging deep semantic features extracted from colposcopic images.

Methods: The study employed a segmentation-based deep learning architecture, utilizing a deep decoding network to integrate prior features and establish a semantic segmentation model capable of distinguishing normal and pathological changes. A two-stage decision model is proposed for deep semantic feature mining, which combines image segmentation and classification to categorize pathological changes present in the dataset.