Functional characterization of CsSTK in floral organ development and its positive regulation by CsBPC5 in tea plants.

Background: As an important economic crop, the development of floral organs in tea plants plays an essential role in tea yield, quality, and varietal improvement. Previous studies have shown significant downregulation of the CsSTK gene in the pistil-deficient mutant 'Yuncha Qirui' (CRQS) during flower development, suggesting its involvement in floral organ and pistil development.

Results: This study investigated CsSTK function and regulatory mechanisms, concurrently conducting a systematic identification of the BPC transcription factor family members in tea plants.

GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data.

Background: Single-cell RNA sequencing analysis faces critical challenges including high dimensionality, sparsity, and complex topological relationships between cells. Current methods struggle to simultaneously preserve global structure, model cellular dynamics, and handle technical noise effectively.

Results: We present GNODEVAE, a novel architecture integrating Graph Attention Networks (GAT), Neural Ordinary Differential Equations (NODE), and Variational Autoencoders (VAE) for comprehensive single-cell analysis.

MHLC, a novel tea germplasm with cyanidin-dominant anthocyanin profiling and low-catechin trait driven by flavonoid pathway Divergence.

The tea plant (Camellia sinensis) is a vital economic crop whose quality and health benefits are primarily determined by flavonoid compounds, particularly catechins and anthocyanins. However, the dynamic regulatory mechanisms of governing flavonoid accumulation remain unclear. A novel tea germplasm, MHLC, with a reddish-purple phenotype was identified in this study.

Lateral Rutile/Anatase Biphase TiO Superlattice: Its Step-Assisted Controllable Growth and Interfacial Structure.

Rutile/Anatase (R/A) biphase TiO has superior photocatalytic performance than its single-phase counterpart due to the effect of interface band alignment. However, two crucial issues remain unresolved: First, the controllable growth of epitaxial R/A TiO with unburied interfaces is extremely challenging. Second, the direction of electron flow is full of controversy since the atomic and electronic structures of the R/A interface have not been experimentally obtained.

iVAE: an interpretable representation learning framework enhances clustering performance for single-cell data.

Background: Variational autoencoders (VAEs) serve as essential components in large generative models for extracting latent representations and have gained widespread application in biological domains. Developing VAEs specifically tailored to the unique characteristics of biological data is crucial for advancing future large-scale biological models.

Results: Through systematic monitoring of VAE training processes across 31 public single-cell datasets spanning oncological and normal conditions, we discovered that reducing the value which corresponds to lower disentanglement of VAE significantly improves unsupervised clustering metrics in single-cell data analysis.

Multi-View Clustering With Incremental Instances and Views.

Multi-view clustering (MVC) has attracted increasing attention with the emergence of various data collected from multiple sources. In real-world dynamic environment, instances are continually gathered, and the number of views expands as new data sources become available. Learning for such simultaneous increment of instances and views, particularly in unsupervised scenarios, is crucial yet underexplored.

BMP6 ubiquitination mediated by SMURF1 suppresses ferroptosis and diminishes sensitivity to doxorubicin in gastric cancer.

Dysregulation of bone morphogenetic protein 6 (BMP6) is found to be associated with gastric cancer development. Here, we further explored the functions of BMP6 in gastric cancer cell malignant behaviors, ferroptosis, and doxorubicin sensitivity and the mechanism driving BMP6 dysregulation. BMP6 mRNA detection was performed by quantitative polymerase chain reaction, and protein expression was tested by immunoblotting and immunohistochemistry.

Use of diffusion-weighted magnetic resonance imaging to distinguish between normal and small for gestational age pregnancies: comparison of intravoxel incoherent motion derived parameters and apparent diffusion coefficient.

Objectives: We compared the predictive performance of apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) parameters in assessing small for gestational age (SGA) pregnancies.

Methods: Perspective study. Twenty-eight normal controls and 30 SGA pregnancies underwent IVIM scans on a 3.

scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data.

Single-cell RNA sequencing now profiles whole transcriptomes for hundreds of thousands of cells, yet existing trajectory-inference tools rarely pinpoint where and when fate decisions are made. We present single-cell reinforcement learning (scRL), an actor-critic framework that recasts differentiation as a sequential decision process on an interpretable latent manifold derived with Latent Dirichlet Allocation. The critic learns state-value functions that quantify fate intensity for each cell, while the actor traces optimal developmental routes across the manifold.

Epac (RAPGEF3) promotes betaglycan expression to mediate ciprofloxacin-induced suppression of cancer cell migration and metastasis: Mechanistic insights and drug repurposing potential.

Fluoroquinolones (FQs), potent antimicrobials, have shown potential in curbing cancer invasion and metastasis by affecting cell migration and extracellular matrix reshaping. However, the molecular mechanisms behind their impact remain unclear. The type III TGF-β receptor (TβR3, also called betaglycan), a co-receptor in the TGF-β superfamily, is often found to be downregulated in various human cancers.

scFocus: Detecting branching probabilities in single-cell data with SAC.

Single-cell transcriptomics captures cell differentiation trajectories through changes in gene expression intensity. However, it is challenging to obtain precise information on the composition of gene sets corresponding to each lineage branch in complex biological systems. The combination of branch probabilities and unsupervised clustering can effectively characterize changes in gene expression intensity, reflecting continuous cell states without relying on prior information.

Mechanisms of Complications from Ear Filler Injections: A Cadaver Imaging and Anatomical Study.

Background: Our society's focus on facial beauty has recently expanded to ear beauty, with an increase in related complications. We aimed to elucidate the mechanisms underlying complications associated with ear filler injections by exploring the course of auricular blood vessels through cadaver anatomical and imaging examinations.

Methods: Thirty cadavers underwent arterial perfusion with red latex, and computed tomography was utilized for 3D reconstruction to analyze the relations between arteries, nerves, and lesions in the auricular area.

Correlation between Plane Assessment of Prolapse Degree and Pelvic Organ Prolapse Quantification Scores after Three-Dimensional Reconstruction of Female Pelvic Organ Prolapse.

Objectives: This study aimed to combine dynamic magnetic resonance imaging (MRI) with three-dimensional (3D) reconstruction and form a plane based on osseous structures to evaluate the degree of pelvic organ prolapse (POP). The correlation of this novel evaluation approach with the POP-Q system was assessed.

Methods: A retrospective analysis was conducted on 71 POP patients with POP-Q stage ≥II.

Nonlinear Classifiers Based on DNA Logic Circuits for Cancer Diagnosis.

DNA logical circuits can be applied to accurate classification of cancer status, benefiting from their excellent biocompatibility and parallelism. However, the existing cancer diagnosis models based on DNA logic circuits mainly adopt a linear structure, which makes it difficult to fully capture the complex nonlinear distribution characteristics in the disease data. In addition, DNA logic circuits cannot directly sense the expression levels of microRNAs (miRNAs).

Hybrid Active Sites in Coordination Polymers Enable Ampere-Level Acetylene Semihydrogenation in Membrane Electrode Assembly Systems.

Electrocatalytic acetylene semihydrogenation in membrane electrode assembly systems promises a sustainable pathway for ethylene production, yet faces challenges in catalyst performance and durability. Herein, we developed a Cu coordination polymer with hybrid sites that synergistically integrate open Cu sites and N-heterocyclic carbenes. These hybrid sites bestow the coordination polymer with acetylene gasophilicity, hydrophobicity toward water, and readily accessible active Cu sites, which energetically facilitate acetylene absorption and vinyl intermediate formation, thereby enabling efficient ethylene production at ampere-level current densities.

Geometrically aware transformer for point cloud analysis.

With the increasing use of 3D point cloud data in autonomous driving, robotic perception, and remote sensing, efficient and accurate point cloud analysis remains a critical challenge. This study presents PointGA, a lightweight Transformer-based model that enhances geometric perception for improved feature extraction and representation. First, PointGA expands the original 3D coordinates into various geometric information, introducing more prior knowledge into the network.

Comparison of oncological outcomes between radical hysterectomy and radiochemotherapy for International Federation of Gynecology and Obstetrics 2018 stage IIIC1 cervical adenocarcinoma: A retrospective multicenter cohort study.

Background: To compare oncological outcomes of radical hysterectomy (RH) and radiochemotherapy (R-CT) for stage IIIC1 (FIGO 2018) cervical adenocarcinoma patients.

Methods: Based on the Chinese Cervical Cancer Clinical Diagnosis and Treatment Project Database, we retrospectively reviewed 236 cases of FIGO stage IIIC1 cervical adenocarcinoma diagnosed between 2005 and 2019. The 5-year overall survival (OS) and 5-year disease-free survival (DFS) rates were compared between the two treatment groups using multivariate Cox regression models and the log-rank test, both in the overall study population and after propensity score matching (PSM).

Efficient Oxidation of 5-Hydroxymethylfurfural to 2,5-Furandicarboxylic Acid by Nanocopper Oxide Catalysts.

The efficient oxidation of 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid (FDCA) is achieved using the nano-CuO catalyst in a NaClO solution. This study reveals that the particle size of the nano-CuO can be effectively regulated by adjusting the calcination temperature, thereby significantly improving the catalytic performance of HMF oxidation to the desired product FDCA. Notably, the CuO-100 catalyst with the smallest particle size exhibits superior HMF conversion and maximum FDCA yield (96.

Anti-inflammatory activity of Pogostemon cablin: Bioactive components and their modulation of MAPK and NF-κB signaling pathway.

Pogostemon cablin is a well-known Lamiaceae plant and widely utilized in Traditional Chinese Medicine (TCM) for its neuroprotective, anti-inflammatory, and anxiolytic properties. In this study, 16 known compounds (1-15 and 17) and one semi-synthesized new compound, 5-hydroxy-3-isoprenyloxy-7,3',4'-trimethoxyflavone (16), including flavonoids, pyranones, sesquiterpenes, and benzenoids, were obtained and characterized from aerial parts of P. cablin and investigated for their anti-inflammatory properties through the MAPK and NF-κB signaling pathways in LPS-induced RAW264.

Floatable organic-inorganic hybrid-TiO unlocks superoxide radicals for plastic photoreforming in neutral solution.

Plastic photoreforming offers a compelling technology to address the global issue of the large amount cumulative plastic waste by converting it into valuable fuels and chemical feedstocks. However, constrained by insufficient mass and energy transfers, the existing hydrophilic plastic photoreforming systems heavily rely on the unsustainable chemical pre-treatments in corrosive solutions. Herein, we demonstrate a conceptual plastic photoreforming system based on a floatable hydrophobic organic-inorganic hybrid-TiO photocatalyst, which unlocks superoxide radical as the major oxidizing species and forms a four-phase interface among photocatalyst, plastic substrate, water and air, thus greatly enhancing the mass and energy transfers.

The potential for de-escalation radical surgery in women with stage IB2 cervical cancer (FIGO 2018): a multi-institutional experience of 63,926 cases over a 14-year period in China.

Objective: To compare the long-term survival outcomes, recurrence patterns and morbidity of type B and type C radical hysterectomy (RH) for stage IB2 cervical cancer (FIGO 2018).

Methods: Based on FOUR-C database, patients who underwent type B or C RH in 47 hospitals from 2004 to 2018 were reviewed. Univariate and multivariate analyses were performed to compare 5-year overall survival (OS) and recurrence-free survival (RFS), recurrence patterns and morbidity between the two groups after propensity score matching (PSM).

Galectin-1-targeted theranostic nanoprobe for multimodal imaging and photothermal therapy in cervical cancer lymph node metastases.

Accurately evaluating lymph node (LN) status is essential for cervical cancer staging and making treatment decisions. However, the current preoperative imaging modalities for diagnosing LN metastasis in patients with cervical cancer are suboptimal, and the existing radiochemotherapy methods lack specificity, which leads to increased toxicity and side effects. To overcome these limitations, we aimed to develop a theranostic strategy for LN metastases with a galectin-1-targeted nanoprobe for dual-modal magnetic resonance imaging (MRI)/near-infrared (NIR) imaging and photothermal therapy (PTT).

Near-infrared photothermal catalysis for biomass upgrading.

The efficient conversion of biomass into value-added chemicals via sunlight-driven processes remains a significant challenge in energy chemistry, particularly within the domain of photothermal catalysis. In this study, we demonstrate that doping MnO with Na-induced oxygen vacancies (OVs) significantly enhances its catalytic performance under near-infrared (NIR) irradiation. This modification unveils a novel mechanism for the generation of singlet oxygen (O), facilitated by the synergistic action of OVs and h.

Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer.

Quantum state tomography (QST) is the process of reconstructing the state of a quantum system (mathematically described as a density matrix) through a series of different measurements, which can be solved by learning a parameterized function to translate experimentally measured statistics into physical density matrices. However, the specific structure of quantum measurements for characterizing a quantum state has been neglected in previous work. In this article, we explore the similarity between highly structured sentences in natural language and intrinsically structured measurements in QST.