Neurodevelopmentally rooted epicenters in schizophrenia: sensorimotor-association spatial axis of cortical thickness alterations.

Pathological disturbances in schizophrenia have been suggested to propagate via the functional and structural connectome across the lifespan. However, how the connectome guides early cortical reorganization of developing schizophrenia remains unknown. Here, we used early-onset schizophrenia (EOS) as a neurodevelopmental disease model to investigate putative early pathologic origins propagating through the functional and structural connectome.

ZIF-derived necklace-like N-doped porous carbon@MWCNTs loaded with Cu NPs for enhanced electrochemical sensing of dihydroxybenzene isomers.

Hydroquinone (HQ), catechol (CC), and resorcinol (RS), as toxic and hardly degradable dihydroxybenzene isomers, pose threats to the environment and human health. In this study, using multi - walled carbon nanotubes (MWCNTs) and ZIF-8 as precursors, a necklace-like N-doped carbon polyhedron/carbon nanotube composite loaded with Cu nanoparticle (Cu NPs/NC@MWCNTs) electrocatalyst was prepared by hydrothermal and high-temperature carbonization processes. Comprehensive characterization data from XRD, SEM, TEM, XPS, BET, and Raman spectroscopy confirmed that the unique necklace-like porous structure and synergistic effect between ZIF-derived N-doped carbon polyhedra and MWCNTs regulate the electronic structure and surface properties of the catalyst, thereby accelerating the electron transfer rate.

Hierarchical query design and distributed attention in transformer for player group activity recognition in sports analysis.

Group activity recognition in sports analysis is a critical challenge in computer vision, requiring robust modeling of complex player interactions and dynamic scenarios. Existing approaches predominantly rely on region-based features and two-stage pipelines involving individual localization and activity classification. These methods are inherently limited by their dependency on accurate bounding box detection and often struggle with feature entanglement, occlusions, and the integration of broader contextual information.

Age-, Body Surface Area-, and Sex-Specific Reference Values for Pericardial Adipose Tissue in Children: An MRI Study.

Background: Pericardial adipose tissue (PAT) is a cardiovascular disease risk factor in children, but normative data for PAT thickness, area, and volume are lacking.

Purpose: To establish the percentile reference values for MRI PAT parameters in healthy Chinese children aged 3-18.

Study Type: Prospective.

ZBED4: A Prognostic Biomarker and Therapeutic Target in Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) is a prevalent lethal cancer that remains challenging to treat. Therefore, investigation of novel targets and therapeutic strategies is essential. The role of ZBED4 in cancer remains unclear.

Application of Metal-Organic Frameworks Nanoparticles in the Diagnosis and Treatment of Breast Cancer.

Breast cancer remains the most prevalent malignancy among women and the second leading cause of cancer-related mortality worldwide, primarily attributable to delayed diagnosis and limited therapeutic efficacy. Recent nanotechnology advances exhibit transformative potential in breast cancer management. Metal-organic frameworks (MOFs) have emerged as promising nanoplatforms for biomedical applications due to their exceptional adsorption capacity, high surface area, tunable porosity, structural stability, and facile surface functionalization-properties enabling advanced drug delivery systems (DDSs).

Conquering Shuttle Effect and Dendrites Synergistically: A Zwitterionic Bacterial Cellulose Hydrogel Electrolyte for Ultralong-Lifespan Zn-I Batteries.

Rechargeable aqueous zinc-iodine batteries (ZIBs) hold significant promise for energy storage. Their advancement, however, faces critical challenges: soluble polyiodide shuttling and rampant Zn dendrite growth. This work introduces a polyampholyte bacterial cellulose hydrogel electrolyte (SBC) engineered to overcome these limitations.

Dynamic-Attentive Pooling Networks: A Hybrid Lightweight Deep Model for Lung Cancer Classification.

Lung cancer is one of the leading causes of cancer-related mortality worldwide. The diagnosis of this disease remains a challenge due to the subtle and ambiguous nature of early-stage symptoms and imaging findings. Deep learning approaches, specifically Convolutional Neural Networks (CNNs), have significantly advanced medical image analysis.

Trends in the prevalence of steatotic liver disease among Chinese adults, 2015-2023: A nationwide cross-sectional study.

Background: Metabolic dysfunction-associated fatty liver disease and steatotic liver disease (SLD) have emerged as one of the fastest-growing liver complications over recent decades; this study evaluated trends in SLD prevalence among Chinese adults and its variation across demographic groups.

Methods: A multicenter, retrospective study analyzed health examination data from 600,536 Chinese adults across 10 provinces between 2015 and 2023. Participants (≥18 y) with complete data on age, sex, weight, waist circumference, ultrasound, and biochemical tests were included.

Atlas-based templates vs. subject-specific tractography: resolving the debate.

The first annual International Society of Tractography (IST) debate in Corsica in 2024 explored key challenges and controversies in tractography. This article examines the debate sparked by the provocative statement, "Tractography cannot give us anything we can't get from an atlas template." This debate contrasted two approaches: (1) white matter atlas templates, which provide standardized, population-based brain representations useful for studying brain structure and performing group comparisons, and (2) subject-specific tractography, which reconstructs individual brain connections using diffusion MRI, enabling in vivo "virtual dissection" of white matter pathways.

Comparative effectiveness of pharmacogenomic-guided versus unguided antidepressant treatment in major depressive disorder: new insights from subgroup and cumulative meta-analyses.

Question: How effective is pharmacogenomic (PGx)-guided antidepressant treatment compared with treatment-as-usual (TAU) in major depressive disorder (MDD), and how do ethnicity, disease severity and genetic panel scope influence outcomes?

Study Selection And Analysis: This systematic review and meta-analysis comprised 13 randomised controlled trials (2013-2024) comparing PGx-guided therapy with TAU in MDD. PubMed, Ovid Embase, Ovid Medline, Ovid PsycINFO and the Cochrane Library were searched up to December 2024. Outcomes included response and remission rates at 8 and 12 weeks.

Research Progress of Graphitic Carbon Nitride Composites in Photocatalytic Nitrogen Fixation.

As a carbon-free energy carrier with high energy density, ammonia has been extensively utilized across various industrial sectors. However, the conventional Haber-Bosch process for industrial ammonia synthesis faces critical limitations, including harsh operational conditions (high temperature/pressure), excessive energy consumption, and substantial CO emissions, which fundamentally restrict its sustainable development. Photocatalytic nitrogen reduction emerges as a promising alternative strategy, offering advantages of ambient reaction conditions and environmental benignity.

A Comparative Study of Five Large Language Models' Response for Liver Cancer Comprehensive Treatment.

Introduction: Large language models (LLMs) are increasingly used in healthcare, yet their reliability in specialized clinical fields remains uncertain. Liver cancer, as a complex and high-burden disease, poses unique challenges for AI-based tools. This study aimed to evaluate the comprehensibility and clinical applicability of five mainstream LLMs in addressing liver cancer-related clinical questions.

Successful perinatal management in pregnant women with R9 limb-girdle muscular dystrophy and left ventricular ejection fraction of 27%: a case report.

A 29-year-old woman with muscle weakness at 26 + 5 weeks of pregnancy was hospitalized for heart failure, and genetic testing revealed that she had R9 limb-girdle muscular dystrophy (LGMDR9). Since LGMDR9 is associated with cardiac and respiratory dysfunction, we promoted fetal lung maturation and performed an emergency cesarean section at 29 + 2 weeks to prevent further deterioration of cardiac function and muscle weakness. This case highlights the importance of choosing the right mode of delivery, timing of delivery, and early genetic testing for LGMDR9 patients.

Pediatric small intestine cavernous lymphangioma detected via wireless capsule endoscopy: a rare case report.

Background: Cavernous lymphangioma represents a common lesion of the lymphatic system, yet it is rarely encountered in the small intestine. The diagnosis of small intestinal cavernous lymphangioma poses significant clinical challenges. This case report presents the optimal diagnostic and therapeutic management of pediatric small intestinal cavernous lymphangioma.

The effects of dance intervention on clinical symptoms and cognitive deficits in hospitalized patients with chronic schizophrenia: a randomized controlled trial.

Background: Schizophrenia is a severe mental disorder that imposes significant social burdens. Traditional treatmens, however, have limited effectiveness in addressing negative symptoms and cognitive deficits. Recent studies have indicated interventions promoting sensorimotor integration may offer potential benefits for schizophrenia treatment.

scRiskCell: A single-cell framework for quantifying islet risk cells and their adaptive dynamics in type 2 diabetes.

scRiskCell is an interpretable intelligent computational framework that leverages nearly 500,000 islet cell expression profiles from 106 donors across different continuous disease states. By calculating the intrinsic relationship between donor disease states and cell expression profiles, it assigns a pseudo-cell state index to each cell. Sorting the pseudo-indexes of cells enables the identification of risk cells truly disrupted by the disease.

RepliChrom: Interpretable machine learning predicts cancer-associated enhancer-promoter interactions using DNA replication timing.

RepliChrom is an interpretable machine learning model that predicts enhancer-promoter interactions using DNA replication timing across multiple cell types. By integrating replication timing with chromatin interaction data from multiple experimental platforms, it accurately distinguishes true interactions and reveals promoter-region signals as key regulatory drivers. Importantly, the RepliChrom uncovers cancer-specific chromatin patterns in leukemia, offering mechanistic insights into how replication timing shapes long-range gene regulation in both normal and diseased genomes.

A whole slide image-based risk score predicts prognosis and postmastectomy radiotherapy benefit in triple negative breast cancer patients.

There are few tools support postmastectomy radiotherapy (PMRT) decisions for triple-negative breast cancer (TNBC) patients. This study aimed to develop a whole slide image (WSI)-based risk score to identify PMRT beneficiaries. We analyzed 608 TNBC patients treated at West China Hospital, Sichuan University (WCH) and 182 patients from The Cancer Genome Atlas (TCGA), diagnosed between 2011 and 2019.

Plasma-Induced CoF Formation and Carbon Coating for Bond Adjustment and Polarization Inhibition in High-Rate Li/CF Batteries.

Fluorinated carbon (CF) contains strong covalent C-F bonds, leading to severe electrochemical polarization in Li/CF batteries with a limited rate performance. Herein, a synergy technology was developed to prepare a CF/CoF/C composite for a high-rate Li/CF battery combining bond adjustment and polarization inhibition effects. Typically, the CF/CoF/C composite in situ generated coupling with a mixed-liquid phase reaction and CH/Ar plasma-inducing technology.

Perioperative therapy for limited-stage small cell esophageal carcinoma: a retrospective cohort study.

Background: The optimal treatment strategy for limited-stage small cell esophageal carcinoma (LS-SCEC) remains uncertain. This study aimed to retrospectively evaluate the efficacy of perioperative therapy in these patients.

Materials And Methods: Between June 2005 and November 2022, 156 patients with LS-SCEC who underwent esophagectomy were included in this study.

C-reactive protein is not a biomarker of depression severity in drug-naïve obese patients with metabolic syndrome.

Background: Metabolic syndrome (MetS) is highly prevalent among adults and is frequently accompanied by depressive symptoms. While high-sensitivity C-reactive protein (hsCRP) has been proposed as a potential indicator of depression, existing evidence remains inconclusive.

Objective: This study aimed to determine whether increased serum hsCRP or other immune-metabolic biomarkers are associated with depressive symptoms in drug-naïve individuals with obesity and MetS.

Ultrasound-based Models for Identifying Sarcopenic Dysphagia: The Key Role of Digastric Muscle.

Objectives: Sarcopenic dysphagia (SD) is a serious condition in older adults lacking reliable diagnostic tools. This study aimed to develop and validate ultrasound-based diagnostic models for SD by integrating clinical and radiomics features from swallowing muscles (geniohyoid, digastric, tongue) to identify the most informative muscle group for diagnosis.

Design: A diagnostic accuracy study.

Infrared image super resolution with structure prior from uncooled infrared readout circuit.

Infrared images, rich in temperature information, have a broad range of applications. However, limitations in infrared imaging mechanisms and the manufacturing processes typically prevent uncooled infrared detector arrays from exceeding a resolution of one megapixel. Consequently, designing an efficient infrared image Super-Resolution (SR) algorithm is of significant importance.

Impacts of omega-3 fatty acids intervention on immune functions and clinical outcomes in surgical gastric cancer patients: a systematic review and trial sequential meta-analysis.

Background: Gastric cancer patients are vulnerable to postoperative complications. Omega-3 fatty acids may improve immune function and reduce postoperative complications. However, the impacts of omega-3 fatty acids intervention on immune function and clinical outcomes in gastric cancer patients are not clear.