Aberrant white matter function and structure in Rhegmatogenous retinal detachment: A study utilizing functional network clustering and TractSeg methods.

Background: Previous studies have documented abnormal functional changes in the visual pathways and gray matter regions related to vision in Rhegmatogenous retinal detachment (RRD) patients. However, the extent of alterations in the functional and structural characteristics of white matter (WM) in these patients remains insufficiently understood.

Methods: In this study, we employed functional clustering networks and TractSeg methodologies to investigate the alterations in WM function and structure among patients with RRD.

Nonlinear responses of ecosystem carbon fluxes to precipitation change in a semiarid grassland.

Carbon (C) fluxes in semiarid grasslands subject to precipitation variability play a critical role in the terrestrial C cycle. However, how ecosystem C fluxes respond to variability in precipitation (both decreases and increases precipitation along a gradient) remains unclear. In this study, we conducted a three-year field experiment in a semiarid grassland, with six precipitation treatments (precipitation decreased by 70%, 50%, and 30% [P-70%, P-50%, and P-30%], natural precipitation [P+0%], and precipitation increased by 30% and 50% [P+30% and P+50%]) to examine how variations in precipitation influence ecosystem C fluxes, specifically focusing on gross ecosystem productivity (GEP), ecosystem respiration (ER), and net ecosystem CO exchange (NEE).

Investigation of the static and dynamic brain network mechanisms in patients with rhegmatogenous retinal detachment based on independent component analysis.

Background: Previous neuroimaging studies have identified substantial structural and functional abnormalities in the brains of patients with rhegmatogenous retinal detachment (RRD). Nonetheless, there remains a paucity of comprehensive research on the alterations in functional connectivity (FC) within large-scale static and dynamic brain networks in these patients.

Methods: This study utilized independent component analysis (ICA) to investigate alterations in large-scale brain network FC in patients with RRD.

Association of triglyceride-glucose index and derived indices with cataract in middle-aged and elderly Americans: NHANES 2005-2008.

Aim: Explore the relationship between the triglyceride-glucose (TyG) index, along with its derivative indices, and the prevalence of cataracts.

Methods: Data from 20,497 participants in the 2005-2008 National Health and Nutrition Examination Survey (NHANES) were compiled. A final total of 4,499 individuals met the eligibility criteria.

Electrochemically driven inactivation of harmful cyanobacteria assisted with the visible light photocatalyst of CeO-FeO-CQDs.

The application of photoelectrocatalysis in the inactivation of algae is attracting growing attention. In this study, CeO-FeO-carbon quantum dots (CQDs) were prepared as particle electrodes to assess their effectiveness in inactivating cyanobacteria within a three-dimensional (3D) electrochemical system under visible light. The results showed that both algal cells and extracellular organic matter (EOM) could be efficiently removed.

Fire-driven disruptions of global soil biochemical relationships.

Fires alter the stability of organic matter and promote soil erosion which threatens the fundamental coupling of soil biogeochemical cycles. Yet, how soil biogeochemistry and its environmental drivers respond to fire remain virtually unknown globally. Here, we integrate experimental observations and random forest model, and reveal significant divergence in the responses of soil biogeochemical attributes to fire, including soil carbon (C), nitrogen (N), and phosphorus (P) contents worldwide.

A generative deep neural network for pan-digestive tract cancer survival analysis.

Background: The accurate identification of molecular subtypes in digestive tract cancer (DTC) is crucial for making informed treatment decisions and selecting potential biomarkers. With the rapid advancement of artificial intelligence, various machine learning algorithms have been successfully applied in this field. However, the complexity and high dimensionality of the data features may lead to overlapping and ambiguous subtypes during clustering.

Physiological characteristics and transcriptomic analyses of alfalfa root crown in wintering.

Background: Alfalfa, scientifically identified as , is repeatedly referred to as the "king of forages". Because of its tight relationship to winter hardiness, the alfalfa's root crown plays a significant role as a storage organ over the winter. At present, it is still unknown what molecular process makes the alfalfa root crown resistant to cold.

The evaluation value of F-AV-133 PET/CT imaging in the Parkinson's disease crab-eating monkey model.

Objective: To investigate the diagnostic value of fluorine-18-9-fluoropropyl-(+)-dihydrotetrabenazine (F-AV-133) positron emission tomography/computed tomography (PET/CT) for Parkinson's disease (PD) and the metabolic parameter changes in the PD macaque model.

Subjects And Methods: Sixty three macaques were divided into an experimental group (n=55) and a normal group (n=8) for F-AV-133 PET/CT imaging. In the experimental group, the macaques were injected with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) solution into one side of the neck artery 2-3 months before imaging to induce unilateral striatal damage for self-control, while the normal group received no special treatment.

GD-Net: An Integrated Multimodal Information Model Based on Deep Learning for Cancer Outcome Prediction and Informative Feature Selection.

Multimodal information provides valuable resources for cancer prognosis and survival prediction. However, the computational integration of this heterogeneous data information poses significant challenges due to the complex interactions between molecules from different biological modalities and the limited sample size. Here, we introduce GD-Net, a Graph Deep learning algorithm to enhance the accuracy of survival prediction with an average accuracy of 72% by early fusing of multimodal information, which includes an interpretable and lightweight XGBoost module to efficiently extract informative features.

Exploring structured molecular landscape from single-cell multi-omics data by an explainable multimodal model.

There is an urgent need to understand the molecular landscape beyond the conventional cellular landscape, maximizing the translational use and generalized interpretation of state-of-the-art single-cell genomic techniques in biological studies. We introduced a multimodal explainable artificial intelligence (xAI) model Vec3D to identify a joint definition of cellular states and their distribution in a quantified graphic organization as structured molecular landscape (SML). First, Vec3D substantially improves the accuracy and efficiency of multimodal data analysis.

Corrigendum: Protection efficacy and the safety of the synergy between modified Bazhen powder and PRRSV modified-live virus vaccine against HP-PRRSV in piglets.

[This corrects the article DOI: 10.3389/fvets.2024.

DNA Nanostructure Disintegration-Assisted SPAAC Ligation for Electrochemical Biosensing.

MicroRNAs (MiRNAs) are valuable biomarkers for the diagnosis and prognosis of diseases. The development of reliable assays is an urgent pursuit. We herein fabricate a novel electrochemical sensing strategy based on the conformation transitions of DNA nanostructures and click chemistry.

An interpretable survival model for diffuse large B-cell lymphoma patients using a biologically informed visible neural network.

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma (NHL) and is characterized by high heterogeneity. Assessment of its prognosis and genetic subtyping hold significant clinical implications. However, existing DLBCL prognostic models are mainly based on transcriptomic profiles, while genetic variation detection is more commonly used in clinical practice.

Protection efficacy and the safety of the synergy between modified Bazhen powder and PRRSV modified-live virus vaccine against HP-PRRSV in piglets.

The highly pathogenic porcine reproductive and respiratory syndrome virus (HP-PRRSV) poses a significant threat to the global swine industry. Vaccination is a preventive measure against viral infections. However, the use of vaccines in livestock healthcare programs faces the challenge of safety and delayed immune responses.

Predictive value of metabolism and its heterogeneity parameters measured by preoperative F-FDG PET/CT for mediastinal occult lymph node metastasis in cN0 lung invasive adenocarcinoma.

Objective: To explore the potential of intratumoral metabolism and its heterogeneous parameters, as measured by preoperative fluorine-18-fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET/CT) imaging, to predict mediastinal occult lymph node metastasis in cN0 lung invasive adenocarcinoma.

Subjects And Methods: Seventy five patients were consecutively enrolled from January 2018 to December 2022. All patients underwent F-FDG PET/CT scans within two weeks before surgery, and had mediastinal lymph node metastasis confirmed by pathologic diagnosis after surgery.

Performance of the Risk Scores for Predicting In-Hospital Mortality in Patients with Acute Coronary Syndrome in a Chinese Cohort.

Background: The prognosis of patients with acute coronary syndrome (ACS) varies greatly, and risk assessment models can help clinicians to identify and manage high-risk patients. While the Global Registry of Acute Coronary Events (GRACE) model is widely used, the clinical pathways for acute coronary syndromes (CPACS), which was constructed based on the Chinese population, and acute coronary treatment and intervention outcomes network (ACTION) have not yet been validated in the Chinese population.

Methods: Patients with ACS who underwent coronary angiography or percutaneous coronary intervention from 2011 to 2020, were retrospectively recruited and the appropriate corresponding clinical indicators was obtained.

Analyzing the topological properties of resting-state brain function network connectivity based on graph theoretical methods in patients with high myopia.

Aim: Recent imaging studies have found significant abnormalities in the brain's functional or structural connectivity among patients with high myopia (HM), indicating a heightened risk of cognitive impairment and other behavioral changes. However, there is a lack of research on the topological characteristics and connectivity changes of the functional networks in HM patients. In this study, we employed graph theoretical analysis to investigate the topological structure and regional connectivity of the brain function network in HM patients.

Core decompression combined with bone marrow mononuclear cells in the treatment of femoral head necrosis: a systematic review and meta-analysis.

Background: The effectiveness of bone marrow mononuclear cells (BMMCs) combined with core decompression (CD) in the treatment of femoral head necrosis is controversial. The purpose of this study was to conduct a meta-analysis and systematic review of the evaluation of BMMCss combined with CD in the treatment of femoral head necrosis and to compare the therapeutic effect of this method with that of CD alone so as to provide a basis for subsequent research and clinical treatment.

Methods: We conducted detailed searches across four databases in Embase, PubMed, Web of Science, and the Cochrane Library (up to October 2023), including eight studies with a total of 370 participants and 491 hip cases.

Assembly of ligation chain reaction and DNA triangular prism for miRNA diagnostics.

Controllable assembly of DNA nanostructure provides a powerful way for quantitative analysis of various targets including nucleic acid molecules. In this study, we have designed detachable DNA nanostructures at electrochemical sensing interface and constructed a ligation chain reaction (LCR) strategy for amplified detection of miRNA. A three-dimensional DNA triangular prism nanostructure is fabricated to provide suitable molecule recognition environment, which can be further regenerated for additional tests via convenient pH adjustment.

A transition from arbuscular to ectomycorrhizal forests halts soil carbon sequestration during subtropical forest rewilding.

Ecological succession and restoration rapidly promote multiple dimensions of ecosystem functions and mitigate global climate change. However, the factors governing the limited capacity to sequester soil organic carbon (SOC) in old forests are poorly understood. Ecological theory predicts that plants and microorganisms jointly evolve into a more mutualistic relationship to accelerate detritus decomposition and nutrient regeneration in old than young forests, likely explaining the changes in C sinks across forest succession or rewilding.

Extracorporeal shock wave therapy with imaging examination for early osteonecrosis of the femoral head: a systematic review.

Background: Extracorporeal shockwave therapy (ESWT) is a traditional noninvasive therapy to treat osteonecrosis of the femur head (ONFH). This systematic review aims to investigate whether ESWT can improve the clinical function of ONFH and whether differences in improvement can be observed in radiographic outcomes.

Materials And Methods: Two authors independently searched PubMed, Embase, Cochrane Library, and Web of Science for English articles until 21 October 2023.

Experimental Research on Shipborne SINS Rapid Mooring Alignment with Variance-Constraint Kalman Filter and GNSS Position Updates.

Analytical coarse alignment and Kalman filter fine alignment based on zero-velocity are typically used to obtain initial attitude for inertial navigation systems (SINS) on a static base. However, in the shipboard mooring state, the static observation condition is corrupted. This paper presents a rapid alignment method for SINS on swaying bases.