Pointer meters recognition method in the wild based on innovative deep learning techniques.

This study presents a novel approach to identifying meters and their pointers in modern industrial scenarios using deep learning. We developed a neural network model that can detect gauges and one or more of their pointers on low-quality images. We use an encoder network, jump connections, and a modified Convolutional Block Attention Module (CBAM) to detect gauge panels and pointer keypoints in images.

The highly allo-autopolyploid modern sugarcane genome and very recent allopolyploidization in Saccharum.

Modern sugarcane, a highly allo-autopolyploid organism, has a very complex genome. In the present study, the karyotype and genome architecture of modern sugarcane were investigated, resulting in a genome assembly of 97 chromosomes (8.84 Gb).

Engineered virus-mimicking nanovaccine with lymph node-tumor dual-targeting and STING-activating capacity for robust cancer immunotherapy.

Cancer vaccines have garnered considerable interest for cancer immunotherapy. However, their effectiveness is limited by inadequate proliferation, activation, and tumor infiltration of cytotoxic T lymphocytes (CTLs). Inspired by the potent immunostimulatory properties of viral components and the exposure of calreticulin during immunogenic cell death (ICD) triggered by viral infections; in this study, we describe cGAMP@vEVs, a virus-mimicking nanovaccine strategy by engineering tumor cell-derived extracellular vesicles through virus infection, which co-load both personalized and broad antigen repertoire as well as multiple immune adjuvants to potently elicit antitumor immunity.

Investigating the action model of the resistance enhancement induced by bacterial volatile organic compounds against in tomato fruit.

Introduction: Inducing natural resistance against pathogen infection in postharvest tomatoes is a sustainable strategy for reducing postharvest losses. The action model underlying the resistance enhancement of tomatoes induced by bacterial volatile organic compounds (VOCs) against , however, have not been explored.

Methods: In this study, RNA-seq, metabolomics and physiological analysis were used to evaluate global change of defense response induced by VOCs in tomatoes.

[Current and predicted disease burden in middle aged and elderly population aged 55 years and above in Shenzhen, 2016-2030].

To analyze the disease burden in middle-aged and elderly population aged ≥55 in Shenzhen from 2016 to 2030 and provide evidence for the development of healthy aging strategies. The years of life lost (YLL), years lost due to disability (YLD), and the disability-adjusted life year (DALY) in this population from 2016 to 2022 were calculated. Joinpoint log-linear regression model was used to analyze the time trend.

Genome-Wide Identification of the bHLH Gene Family in Reveals Its Potential Role in the Regulation of Isoflavonoid Biosynthesis.

(Champ. ex Benth.) Schot is a significant leguminous plant valued for its edible tuberous roots, which are a plentiful source of isoflavonoids.

Microscopical Observation and Transcriptome Analysis Reveal the Effects of High-Altitude Ecosystem in the Qualities of Different Genetic Varieties Resources.

Improving the biomass and nutritional quality of is important for its breeding and resource conservation, but there are few studies on the effects of high altitude on its biomass and quality. In this study, 27 varieties of were cultivated both at 1600 m and 150 m altitudes to investigate the effect of different altitudes in the biomass and quality traits of . At high altitude, all varieties exhibited decreased picking period, reduced fresh and dry weights, diminished stem length and diameter, as well as lowered nitrogen (N), phosphorus (P), and kalium (K) contents.

Causal relationships between three plasma proteins and non-alcoholic fatty liver disease, mediated by Epstein-Barr virus EA-D antibody levels: a mendelian randomization study.

Non-alcoholic fatty liver disease (NAFLD) is a major global health concern, with its prevalence increasing steadily. While plasma proteins have been implicated in NAFLD, establishing causal relationships has been challenging due to confounding factors in observational studies. This study aims to explore the causal relationships between plasma proteins and NAFLD using Mendelian randomization (MR) analysis.

Feature diffusion reconstruction mechanism network for crop spike head detection.

Introduction: Monitoring crop spike growth using low-altitude remote sensing images is essential for precision agriculture, as it enables accurate crop health assessment and yield estimation. Despite the advancements in deep learning-based visual recognition, existing crop spike detection methods struggle to balance computational efficiency with accuracy in complex multi-scale environments, particularly on resource-constrained low-altitude remote sensing platforms.

Methods: To address this gap, we propose FDRMNet, a novel feature diffusion reconstruction mechanism network designed to accurately detect crop spikes in challenging scenarios.

TCTN1 Induces Fatty Acid Oxidation to Promote Melanoma Metastasis.

Metabolic reprogramming promotes and sustains multiple steps of melanoma metastasis. Identification of key regulators of metabolic reprogramming could lead to the development of treatments for preventing and treating metastatic melanoma. In this study, we identified that tectonic family member 1 (TCTN1) promotes melanoma metastasis by increasing fatty acid oxidation (FAO).

Allele-Specific Hormone Dynamics in Highly Transgressive F2 Biomass Segregants in Sugarcane ( spp.).

Sugarcane holds global promise as a biofuel feedstock, necessitating a deep understanding of factors that influence biomass yield. This study unravels the intricate dynamics of plant hormones that govern growth and development in sugarcane. Transcriptome analysis of F2 introgression hybrids, derived from the cross of "LA Purple" and wild "MOL5829", was conducted, utilizing the recently sequenced allele-specific genome of "LA Purple" as a reference.

Allopolyploidization from two dioecious ancestors leads to recurrent evolution of sex chromosomes.

Polyploidization presents an unusual challenge for species with sex chromosomes, as it can lead to complex combinations of sex chromosomes that disrupt reproductive development. This is particularly true for allopolyploidization between species with different sex chromosome systems. Here, we assemble haplotype-resolved chromosome-level genomes of a female allotetraploid weeping willow (Salix babylonica) and a male diploid S.

Genome-wide analysis of MADS-box genes and their expression patterns in unisexual flower development in dioecious spinach.

Evolution of unisexual flowers involves extreme changes in floral development. Spinach is one of the species to discern the formation and evolution of dioecy. MADS-box gene family is involved in regulation of floral organ identity and development and in many other plant developmental processes.

Molecular mechanism of vivipary as revealed by the genomes of viviparous mangroves and non-viviparous relatives.

Vivipary is a prominent feature of mangroves, allowing seeds to complete germination while attached to the mother plant, and equips propagules to endure and flourish in challenging coastal intertidal wetlands. However, vivipary-associated genetic mechanisms remain largely elusive. Genomes of two viviparous mangrove species and a non-viviparous inland relative were sequenced and assembled at the chromosome level.

Genome-wide identification and characterization of the JAZ gene family in Gynostemma pentaphyllum reveals the COI1/JAZ/MYC2 complex potential involved in the regulation of the MeJA-induced gypenoside biosynthesis.

The Jasmonate ZIM domain (JAZ) proteins, functioning as critical suppressors for jasmonic acid (JA) signal transduction in plants, occupy crucial roles in multiple biological processes, particularly in the orchestration of secondary metabolic pathways. However, the mechanism underlying the JA-induced gypenosides accumulation in Gynostemma pentaphyllum remains poorly elucidated. Our research led to the identification of 11 distinct JAZ members in G.

Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms.

Fraudulent activities especially in auto insurance and credit card transactions impose significant financial losses on businesses and individuals. To overcome this issue, we propose a novel approach for fraud detection, combining convolutional neural networks (CNNs) with support vector machine (SVM), k nearest neighbor (KNN), naive Bayes (NB), and decision tree (DT) algorithms. The core of this methodology lies in utilizing the deep features extracted from the CNNs as inputs to various machine learning models, thus significantly contributing to the enhancement of fraud detection accuracy and efficiency.

Identification of male sterility-related genes in Saccharum officinarum and Saccharum spontaneum.

Candidate male sterility genes were identified in sugarcane, which interacts with kinase-related proteins, transcription factors, and plant hormone signaling pathways to regulate stamen and anther development. Saccharum officinarum is a cultivated sugarcane species that its predominant feature is high sucrose content in stems. Flowering is necessary for breeding new cultivars but will terminate plant growth and reduce sugar yield.