Bacterial Community Changes in Early-Stage Engineering Simulation of Red Mud/Phosphogypsum-Based Artificial Soil Vegetation Restoration.

Preparing red mud/phosphogypsum-based artificial soils for vegetation restoration is promising. However, how artificial soil develops during vegetation restoration is unclear, especially regarding the relationship between the bacterial community and the development of artificial soil. The bacterial community changes in the early-stage engineering simulation of red mud/phosphogypsum-based artificial soil vegetation restoration were analyzed for the first time in this paper.

Integrating whole-genome resequencing and machine learning to refine QTL analysis for fruit quality traits in peach.

Increasing marker density results in better map coverage and efficiency of genetic analysis. Here, we resequenced a large ( = 235) F1 progeny from two distant peach cultivars, 'Zhongyou Pan #9' and 'September Free', and constructed two parental maps (1:1 segregations) and one combined map (1:2:1 segregations) with 134 277 SNPs. Markers with the same genotype for all individuals studied were grouped in bins and a unique genotype for each bin was inferred to avoid mapping problems derived from erroneous data.

Machine learning-based quantification of overall and internal ultrasound characteristics for diagnosing malignant partially cystic thyroid nodules.

Introduction: Partially cystic thyroid nodules (PCTNs) with malignant potential are frequently underestimated due to limited recognition of their sonographic characteristics.

Methods: This retrospective analysis included 486 PCTNs identified between March 2021 and September 2022. Machine learning (ML) was employed to quantitatively evaluate the overall ultrasound characteristics of the whole nodule as well as the internal ultrasound characteristics of its solid part.

Liyan Kaiyin Formula relieves reflux pharyngitis by regulating M1 macrophage polarization via the NF-κB/NLRP3 pathway.

Background: We aimed to investigate whether Liyan Kaiyin Formula (LYKYF) can relieve reflux pharyngitis in rats by regulating M1 macrophage polarization via the nuclear factor-κB (NF-κB)/Nod-like receptor protein 3 (NLRP3) pathway.

Methods: Forty rats were randomized into a sham group, a laryngopharyngeal reflux disease (LPRD) group, a LYKYF group and a LYKYF+CHPG group (n = 10). Enzyme-linked immunosorbent assay was conducted to measure the serum levels of inflammatory factors interleukin-6 (IL-6), IL-1β and tumor necrosis factor-α (TNF-α).

An Artificial Intelligence QRS Detection Algorithm for Wearable Electrocardiogram Devices.

Unlabelled: At the core of AI-driven electrocardiogram diagnosis lies the precise localization of the QRS complex. While QRS detection methods for multiple leads have been researched adequately in the last few decades, their multi-lead strategies still need to be designed manually. Therefore, a QRS detector that can fuse multiple leads automatically is still worth investigating.

An efficient method for coupled rotation and torsion of oriented AXn1-BYn2 molecules with application to BF2BCl2.

A new and concise method to obtain the eigenvalues and eigenfunctions of a two-dimensional rotational-torsional Hamiltonian with correct boundary conditions is proposed for oriented AXn1-BYn2 type molecules. The corresponding eigenfunctions are not only eigenfunctions of the Hamiltonian but also common eigenfunctions of several symmetry operators. Numerical calculations for the lowest 1000 rotational-torsional eigenstates of BF2BCl2 demonstrate the advantages and applicability of our method.

The effect of Artificial Intelligence Health Education Accurately Linking System on childhood asthma: study protocol for a pilot randomized controlled trial.

Background: Childhood asthma is a prevalent chronic disease that affects millions of children worldwide. Managing this disease demands not only medical treatment but also the long-term self-management efforts of both children and their parents. Conventional self-management education typically depends on face-to-face approaches, often failing to take into account the personalized requirements and ongoing support needed.

Large power dynamic range microwave electric field sensing in a vapor cell.

Sensing of the microwave (MW) electric field with high accuracy and large power dynamic range has assisted in the implementation of metrology and communication. Here, an atom-based MW sensing system with a large linear power dynamic range for an electric field in the C band of 6.835 GHz is demonstrated in a vapor cell.

Regulated the electrokinetic application of different plant growth stages and parameters enhance the economic extraction of soil heavy metals.

Introduction: Electrokinetic-assisted phytoremediation (EKAPR) improved the heavy metal accumulation has been extensively covered, but the uneconomic of heavy metal extraction increment unit energy consumption (EHME) limits its development.

Methods: The feasibility from the dual perspectives of regulated the electrokinetics application of different growth stages of Sedum plumbizincicola and electrochemical parameters affecting power consumption to enhance the EHME of EKAPR system were investigated.

Results: Results shown that electrokinetic promoted heavy metals accumulation of S.

Insight into the effect of geography and variety on the wine flavory distinctness based on the variations of indigenous microbiota in Xinjiang of China.

Wine fermentation and flavour formation are the result of complex biochemical reactions driven by the microbial activity at the influences of multiple scales, of which the regional distinctness is significantly affected by the specific microbiota. In the study, volatile profiles and fungal compositions were examined by analysis of HS-SPME-GC-MS and high-throughput amplicon sequencing. The results indicated that succinic acid levels were significantly altered by regional factor, while tartaric acid, lactic acid, and volatile acidity were significantly affected by varietal factor.

Major Facilitator Superfamily transporters balance sugar metabolism in peach.

Sugar content is a key determinant of peach (Prunus persica) fruit quality, influencing taste, consumer preferences, and market value. However, the roles of Major Facilitator Superfamily (MFS) transporters in sugar metabolism and regulation remain largely unexplored. This study employed a combination of spatial metabolomics, quantitative genetics, transcriptomics, comparative genomics, and functional genomics to investigate the role of 67 MFS members in balancing sugar metabolism during peach fruit development.

Permanent Efferocytosis Prevention by Terminating MerTK Recycle on Tumor-Associated Macrophages for Cancer Immunotherapy.

Efferocytosis of apoptotic tumor cells by tumor-associated macrophages mediated through the phosphatidylserine (PtdSer)/MER proto-oncogene tyrosine kinase (MerTK) axis can exacerbate tumor immunosuppression, and conversely, prevention of efferocytosis via blocking PtdSer-MerTK association using prevalent antibodies represents a promising strategy for reversing tumor immunosuppression and boosting antitumor immunity. However, it remains unclear whether the antibody blockade can induce durable efferocytosis prevention and achieve sustained tumor growth inhibition. Here, we have shown that utilizing PtdSer and MerTK antibodies induced only a transient rather than a persistent efferocytosis prevention effect, and little enhancement was observed even after improving antibody enrichment in tumor sites.

Panvariome and pangenome of 1,020 global peach accessions shed light on evolution patterns, hidden natural variations, and efficient gene discovery.

Natural variations are the foundation of crop improvement. However, genomic variability remains largely understudied. Here, we present the full-spectrum integrated panvariome and pangenome of 1,020 peach accessions, including 10.

Spatiotemporally transcriptomic analyses of floral buds reveal the high-resolution landscape of flower development and dormancy regulation in peach.

The spatiotemporal transcriptome dataset reported here provides the peach flower bud's gene expression atlas at spatiotemporal resolution level using the 10x Genomics Visium platform. This dataset can be used to define transcript accumulation for any interesting genes across several flower bud cells. It was generated using three peach flower bud samples during the activity-dormancy period, providing valuable insight into gene expression profiling and developmental stages under different environmental contexts or conditions.

Identification and validation of mitochondrial endoplasmic reticulum membrane-related genes in atherosclerosis.

The mitochondria-associated endoplasmic reticulum membrane is implicated in atherosclerosis (AS). However, its precise molecular mechanisms remain undefined. This study identified KLRC1 and SOCS2 as key protective genes against AS through transcriptomic analysis integrated with Mendelian randomization.

Plant-derived phenolic antioxidants inhibit degradation of petroleum hydrocarbons via denitrification in coastal wetlands soils.

Plant-derived phenolic compounds could regulate redox reactions due to their antioxidative properties. In this study, soils from coastal wetlands including bare flat (BF), cyperus(Cyperus malaccensis) (CY), reed (Phragmites australis) (RE), and mangrove(Kandelia obovata) (MA) in Minjiang estuary region were selected. Anaerobic microcosm incubation experiments were conducted to investigate the petroleum hydrocarbon (PH) degradation process through denitrification.

Neutrophils-mediated accelerated blood clearance phenomenon in beagles and rats based on the cross-injection of non-PEGylated and PEGylated nanoemulsions.

The initial injection of PEGylated nanoparticles can activate antibodies and the complement system, leading to the accelerated blood clearance (ABC) phenomenon, characterized by reduced circulation time and abnormal liver and spleen accumulation upon re-exposure. However, PEGylation is not essential for ABC induction, as non-PEGylated nanoparticles can also trigger the similar ABC phenomenon. In this study, we found non-PEGylated nanoemulsions (CE) could accelerate the blood clearance of subsequent injection of PEGylated nanoemulsions (PE) in beagles and rats, which was independent of antibodies and the complement system, but was associated with an increase in neutrophil numbers and phagocytic activity.

Xiaoqinglong Decoction Attenuates Inflammatory Response and Mitochondrial Injury by Regulating the MyD88/NF-κB Pathway Dependent of TLR4 in Allergic Rhinitis.

Introduction: Allergic rhinitis (AR) is a systemic immune inflammatory response disease of the nasal mucosa. Current treatment strategies for AR are limited, owing to a lack of safety and the inability to cure the condition completely. Xiaoqinglong decoction (XQLD), a classical chinese medicine prescription, is widely used to treat AR with a good curative effect.

Exploring Potential Medications for Alzheimer's Disease with Psychosis by Integrating Drug Target Information into Deep Learning Models: A Data-Driven Approach.

Approximately 50% of Alzheimer's disease (AD) patients develop psychotic symptoms, leading to a subtype known as psychosis in AD (AD + P), which is associated with accelerated cognitive decline compared to AD without psychosis. Currently, no FDA-approved medication specifically addresses AD + P. This study aims to improve psychosis predictions and identify potential therapeutic agents using the DeepBiomarker deep learning model by incorporating drug-target interactions.

Identification of crucial genes for polycystic ovary syndrome and atherosclerosis through comprehensive bioinformatics analysis and machine learning.

Objective: To identify potential biomarkers in patients with polycystic ovary syndrome (PCOS) and atherosclerosis, and to explore the common pathologic mechanisms between these two diseases in response to the increased risk of cardiovascular diseases in patients with PCOS.

Methods: PCOS and atherosclerosis data sets were downloaded from the GEO database, and their differentially expressed genes were identified. Weighted gene co-expression network analysis was used to obtain intersection genes, and then protein-protein interaction and functional enrichment analysis were performed.

Chromosome level genome assembly of 'Wanfeng' almond (Prunus dulcis).

We assembled a chromosome-level genome of Chinese native 'Wanfeng' almond, with a size of 288.53 Mb and a contig N50 of 30.48 Mb.

Using Quantitative Trait Locus Mapping and Genomic Resources to Improve Breeding Precision in Peaches: Current Insights and Future Prospects.

Modern breeding technologies and the development of quantitative trait locus (QTL) mapping have brought about a new era in peach breeding. This study examines the complex genetic structure that underlies the morphology of peach fruits, paying special attention to the interaction between genome editing, genomic selection, and marker-assisted selection. Breeders now have access to precise tools that enhance crop resilience, productivity, and quality, facilitated by QTL mapping, which has significantly advanced our understanding of the genetic determinants underlying essential traits such as fruit shape, size, and firmness.

Integrated GWAS, BSA-seq, and RNA-seq analyses to identify candidate genes associated with male fertility trait in peach.

Male sterility in peach (Prunus persica L.), characterized by the absence of fertile pollen grains in the anther, is determined by a recessive allele in homozygosis of the major gene located on chromosome 6. Developing tightly linked molecular markers can help identify appropriate peach parents or male-sterile plants for early culling in segregating progenies, thereby increasing breeding efficiency.