MHWT: Wide-range attention modeling using window transformer for multi-modal MRI reconstruction.

The Swin Transformer, with its window-based attention mechanism, demonstrates strong feature modeling capabilities. However, it struggles with high-resolution feature maps due to its fixed window size, particularly when capturing long-range dependencies in magnetic resonance image reconstruction tasks. To overcome this, we propose a novel multi-modal hybrid window attention Transformer (MHWT) that introduces a retractable attention mechanism combined with shape-alternating window design.

Extending curve matching with flexible hyperparameter selection to predict response to long-acting PEGylated growth hormone treatment in growth hormone deficiency children: method development and validation.

Purpose: Curve matching can predict the height trajectories of children by analyzing longitudinal growth data. We extended the method to improve the prediction of response to long-acting growth hormone treatment in children with growth hormone deficiency (GHD).

Methods: We analyzed data from a previous real-world study with a 36-month treatment of PEGylated recombinant human growth hormone (PEG-rhGH).

Long-Term Exposure to Fine Particulate Matter (PM) Components and Precocious Puberty Among School-Aged Children: Cross-Sectional Study.

Background: The increasing incidence of precocious puberty is a major health challenge for Chinese children, while related risk factors remain less well explored. Exposure to ambient fine particulate matter (PM2.5) is a leading environmental hazard in China.

Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers.

Long-term fine particulate matter (PM) exposure was associated with childhood obesity. However, the key PM components and whether PM effect may vary by obesity type, growth stage, sex, and individual/family characteristics have yet been examined. In this study, we investigated 213,907 Chinese children and adolescents aged 3-18 years in 2017-2019.

Isotopes unveil overestimation of nutrient-driven oxygen deficit in the tidal rivers of Pearl River Delta during the wet season.

A low dissolved oxygen (DO) concentration in summer has been observed in river-estuary systems worldwide. Many studies have caused our stereotype that biochemical oxygen depletion was higher in summer than in winter; however, there was no direct evidence particularly in the tidal river with complex hydrological and biochemical processes. This study employed natural-abundance and labeled isotopes to quantify seasonal apportionment of biochemical oxygen depletion.

HFIP-driven Schmidt-type reaction enables chromone-3-carbonitriles and its applications.

Chromone-3-carbonitrile has been extensively studied in a panel of high-value transformations. However, existing protocols for the synthesis of this scaffold are often constrained by the structure of the starting materials and harsh conditions. To address these issues, we present a novel strategy that HFIP (hexafluoroisopropanol)-driven strategy, enables chromone-3-carbonitriles synthesis without undesirable side reactions.

Ectopic expression of NKG7 enhances CAR-T function and improves the therapeutic efficacy in liquid and solid tumors.

Lack of biopsies after treatment, especially in solid tumors, restricts the understanding of chimeric antigen receptor (CAR)-T cells -related characteristic in vivo, thus hindering the development of strategies to improve CAR-T cells efficacy. Here, we applied nineteen individual single-cell RNA sequencing (scRNA-seq) data from clinical samples of digestive cancers to explore the characteristics of tumor-infiltrating T cells (TILs) to identify effective targets which might be benefit for enhancing the function of CAR-T cells. The data showed that natural killer cell granule protein 7 (NKG7) was overexpressed in TILs and positively associated with anti-PD1 or anti-CTLA4 therapy in digestive cancers.

Experimental Investigation on the Performance of SBS-Modified Asphalt Waterproofing Membrane by Thermo-Oxidative Aging and Freeze-Thaw Cycle.

With global warming in recent years, extreme weather conditions have increased in frequency and intensity, exacerbating the challenges for waterproofing materials. The current stages of SBS asphalt waterproofing membrane aging research mainly focus on the raw materials and modifiers in a single factor; multifactor-coupled aging research is less studied. This study focused on the coupled aging characteristics of SBS-modified asphalt waterproofing membranes, aiming to reveal the mechanism of its influence on the material's performance under the environmental effects of high temperature and freeze-thaw.

Roles of the components of the -pathogenicity island encoded type IV secretion system in .

The () cytotoxin-associated gene pathogenicity island (PAI) encodes 31 genes that assemble the type IV secretion system (T4SS) apparatus, which includes structures such as the outer membrane core complex, periplasmic ring, inner membrane complex and bacterial hairs. These proteins interact with each other to inject CagA into the host gastric epithelium. There are also individual unique functions that help interfere with host cellular pathways, modulate the immune response and colonize the host for a long time.

The profile of blood microbiome in new-onset type 1 diabetes children.

Blood microbiome signatures in patients with type 1 diabetes (T1D) remain unclear. We profile blood microbiome using 16S rRNA gene sequencing in 77 controls and 64 children with new-onset T1D, and compared it with the gut and oral microbiomes. The blood microbiome of patients with T1D is characterized by increased diversity and perturbed microbial features, with a significant increase in potentially pathogenic bacteria compared with controls.

Rational Design of Deep Learning Networks Based on a Fusion Strategy for Improved Material Property Predictions.

The success of machine learning in predicting material properties is largely dependent on the design of the model. However, the current designs of deep learning models in materials science have the following prominent problems. First, the model design lacks a rational guidance strategy and heavily relies on a large amount of trial and error.

Mutli-modal straight flow matching for accelerated MR imaging.

Diffusion models have garnered great interest lately in Magnetic Resonance (MR) image reconstruction. A key component of generating high-quality samples from noise is iterative denoising for thousands of steps. However, the complexity of inference steps has limited its applications.

A theoretical study of Lifshitz transition for 2H-TaS.

Lifshitz transition was proposed to explain a change of the topology structure in a Fermi surface induced by continuous lattice deformation without symmetry breaking since 1960. It is well known that the anomalies of the kinetic coefficients (the coefficient of heat conduction and electrical conductivity, viscosity, sound absorption, ) are usually closely connected with the Lifshitz transition behavior. 2H-TaS is a typical representative to study its anomalies of temperature dependence of heat capacity, resistivity, Hall effect, and magnetic susceptibility.

Hyperuricemia and intravenous fat emulsion are risk factors for gout flares during active gastrointestinal bleeding: a case control study.

Objective: It is well-established that patients with a history of gout are more susceptible to experiencing gastrointestinal bleeding. Gout flare during active gastrointestinal bleeding poses a significant challenge due to the gastrointestinal side effects of anti-inflammatory therapy. This study sought to investigate the risk factors associated with gout flares during episodes of gastrointestinal bleeding.

MLMFNet: A multi-level modality fusion network for multi-modal accelerated MRI reconstruction.

Magnetic resonance imaging produces detailed anatomical and physiological images of the human body that can be used in the clinical diagnosis and treatment of diseases. However, MRI suffers its comparatively longer acquisition time than other imaging methods and is thus vulnerable to motion artifacts, which ultimately lead to likely failed or even wrong diagnosis. In order to perform faster reconstruction, deep learning-based methods along with traditional strategies such as parallel imaging and compressed sensing come into play in recent years in this field.

Sequencing and Analysis of the Complete Mitochondrial Genome of .

We sequenced and analyzed the complete mitochondrial genome of and explored the phylogenetic relationships among Sicydiinae based on mitochondrial genome sequences. The complete mitochondrial genome sequence of was determined using the Illumina HiSeq X Ten sequencing platform, and the gene structural characteristics and base composition were analyzed. Based on the mitochondrial genome sequences of 28 Sicydiinae species published in GenBank and mitochondrial protein-coding genes (PCGs), (Gobionellinae) was selected as an outgroup to construct phylogenetic trees of Sicydiinae using the maximum likelihood and Bayesian inference methods.

Isolation, identification and whole-genome analysis of an Achromobacter strain with a novel sulfamethazine resistance gene and sulfamethazine degradation gene cluster.

A sulfamethazine (SM2) degrading strain, Achromobacter mucicolens JD417, was isolated from sulfonamide-contaminated sludge using gradient acclimation. Optimal SM2 degradation conditions were pH 7, 36 °C, and 5 % inoculum, achieving a theoretical maximum degradation rate of 48 % at 50 ppm SM2. Cell growth followed the Haldane equation across different SM2 concentrations.