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Background GC16 is a novel pesticide with acaricidal properties against the spider mite Tetranychus pueraricola (Ehara & Gotoh). Its physiological mechanisms have been described previously, but its molecular mechanisms of action remain unclear. Thus, we aimed to explore the acaricidal mechanisms of GC16 through transcriptomic and proteomic analyses. The results were verified using transmission electron microscopy (TEM), immunofluorescence assay, and western blotting. Results Transcriptomic and proteomic analyses revealed 2717 differentially expressed genes (DEGs) and 374 differentially expressed proteins (DEPs) between the GC16-treated and control mites. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that the DEGs and DEPs were enriched in the autophagy pathway. TEM showed that the number of autophagosomes and autolysosomes was higher in the GC16-treated mites than in the control mites. Immunofluorescence assay and western blot results consistently indicated that GC16 treatment significantly enhanced the relative expression of the autophagy protein LC3 in insect Sf9 cells. The intracellular calcium concentration in the GC16-treated Sf9 cells was 2.30 times higher than that in the control cells, suggesting that GC16 disrupted calcium homeostasis and potentially acted as a calcium-driven nerve agent. Conclusions Autophagy is involved in the toxicity of GC16 against T. pueraricola and may be activated by elevated Ca 2+ levels. This study reveals the molecular insecticidal mechanisms of GC16 and provides rationale for the field application of GC16 to control pest mites.

Lithium has very active chemical properties and is widely used in various fields. It is known as \"the energy metal of the 21st century\", so we paid more attention on it. Basic characteristics and exploration progress of the Weilasituo lepidolite deposit and the spodumene ore deposit in the Dahongliutan area are introduced in this paper, in order to have a deep research for lithium. The discovery of thses special large lithium deposits have brought new attention to the research of granite pegmatite type lithium ore at north China. The group took the rare metal mining right of the Dahongliutan, which costs 2 billion yuan, so we need get more information for future exploration.

Fusarium wilt (FW) and black rot (BR) are the most devastating diseases affecting cabbage (Brassica oleracea L. var. capitata), severely impacting the global cabbage yield, and the breeding of dual-resistant cabbage is an urgent necessity. However, Ogura cytoplasmic male sterility (CMS) poses significant challenges for reusing most commercial varieties with multiple disease resistance in breeding programs. XG5 is an Ogura CMS commercial hybrid that is resistant to both FW and BR. We designed two steps to achieve the reapplication of XG5 in breeding. During the first stage, XG5 fertility was restored using two methods: crossing XG5 with the restorer line CB40 and transferring the restorer gene (Rfo) into XG5 via transgenic technology. Based on marker-assisted selection, field performance, and resistance identification, three individuals, F1-5, F1-9, and F1-21, from the restorer line cross and two individuals, T0-4 and T0-5, from transformation were selected and further crossed with the elite inbred line S01, which served as the recurrent backcross parent to generate the BC2 generation, successfully integrating resistance into the inbred line. During the second stage, to rapidly obtain the homozygous line, two techniques were used to generate double haploid (DH) lines: isolated microspore culture and haploid induction using the inducer line dmp9. Through in vitro/in vivo induction and colchicine treatment, a total of twenty DH lines were generated. Among these DH lines, D9, D10, and D16 presented normal fertility, dual resistance, and excellent agronomic characteristics. Using a two-by-two method, we reused FW- and BR-resistant germplasms, ultimately generating cabbage lines with dual major disease resistance and normal fertility. These results provide a new approach to the reapplication of Ogura CMS commercial crop hybrids via modern breeding techniques.

Photodynamic therapy (PDT) is a non-invasive approach for tumor elimination that is attracting more and more attention due to the advantages of minimal side effects and high precision. In typical PDT, reactive oxygen species (ROS) generated from photosensitizers play the pivotal role, determining the efficiency of PDT. However, applications of traditional PDT were usually limited by the aggregation-caused quenching (ACQ) effect of the photosensitizers employed. Fortunately, photosensitizers with aggregation-induced emission (AIE-active photosensitizers) have been developed with biocompatibility, effective ROS generation, and superior absorption, bringing about great interest for applications in oncotherapy. In this review, we review the development of AIE-active photosensitizers and describe molecule and aggregation strategies for manipulating photosensitization. For the molecule strategy, we describe the approaches utilized for tuning ROS generation by attaching heavy atoms, constructing a donor-acceptor effect, introducing ionization, and modifying with activatable moieties. The aggregation strategy to boost ROS generation is reviewed for the first time, including consideration of the aggregation of photosensitizers, polymerization, and aggregation microenvironment manipulation. Moreover, based on AIE-active photosensitizers, the cutting-edge applications of PDT with NIR irradiated therapy, activatable therapy, hypoxic therapy, and synergistic treatment are also outlined.

Background The classification of Breast Imaging Reporting and Data System 4A (BI-RADS 4A) lesions is mostly based on the personal experience of doctors and lacks specific and clear classification standards. The development of artificial intelligence (AI) provides a new method for BI-RADS categorisation. We analysed the ultrasonic morphological and texture characteristics of BI-RADS 4A benign and malignant lesions using AI, and these ultrasonic characteristics of BI-RADS 4A benign and malignant lesions were compared to examine the value of AI in the differential diagnosis of BI-RADS 4A benign and malignant lesions. Methods A total of 206 lesions of BI-RADS 4A examined using ultrasonography were analysed retrospectively, including 174 benign lesions and 32 malignant lesions. All of the lesions were contoured manually, and the ultrasonic morphological and texture features of the lesions, such as circularity, height-to-width ratio, margin spicules, margin coarseness, margin indistinctness, margin lobulation, energy, entropy, grey mean, internal calcification and angle between the long axis of the lesion and skin, were calculated using grey level gradient co-occurrence matrix analysis. Differences between benign and malignant lesions of BI-RADS 4A were analysed. Results Significant differences in margin lobulation, entropy, internal calcification and ALS were noted between the benign group and malignant group ( P  = 0.013, 0.045, 0.045, and 0.002, respectively). The malignant group had more margin lobulations and lower entropy compared with the benign group, and the benign group had more internal calcifications and a greater angle between the long axis of the lesion and skin compared with the malignant group. No significant differences in circularity, height-to-width ratio, margin spicules, margin coarseness, margin indistinctness, energy, and grey mean were noted between benign and malignant lesions. Conclusions Compared with the naked eye, AI can reveal more subtle differences between benign and malignant BI-RADS 4A lesions. These results remind us carefully observation of the margin and the internal echo is of great significance. With the help of morphological and texture information provided by AI, doctors can make a more accurate judgment on such atypical benign and malignant lesions.

Liver cancer continues to pose a global health challenge. In 2020, China accounted for nearly half of new liver cancer cases worldwide, with a low 5-year survival. This study aims to evaluate the evolving landscape of the liver cancer burden in China. Data on prevalence, incidence, death, and disability-adjusted life year (DALY) attributed to liver cancer and its six etiologies in China between 1990 and 2021 were extracted from the Global Burden of Disease Study 2021. Temporal trends in liver cancer burden were determined by percent changes and average annual percent change (AAPC). Decomposition analysis was conducted to understand the contributions of population aging, population growth, and epidemiological change to the observed trends. In 2021, there were 265,539 prevalence cases of liver cancer in China accounting for 35.9% of the global total (739,300 prevalence cases). From 1990 to 2021, the prevalence cases, incidence cases, deaths, and DALYs attributed to liver cancer in China increased by 99.99%, 103.91%, 81.24%, and 48.41%, respectively, primarily driven by population aging, then population growth. Males experienced higher burden and percentage changes in prevalence, incidence, and DALYs than females. Meanwhile, decreasing trends were observed in overall age-standardized incidence, death, and DALY rates (AAPC: -0.32%, -0.79%, and -1.03%) and generally across sex groups and the six etiologies. Notably, there were increasing trends in age-standardized incidence rate of liver cancer due to alcohol use (AAPC: 0.36%) and metabolic dysfunction-associated steatotic liver disease (MASLD) (AAPC: 0.44%). In 2021, hepatitis B, hepatitis C, and alcohol use were the main causes of liver cancer burden in China. There were age differences in the burden of liver cancer. The overall 5-year relative survival rate was 12.27% in 2021. Liver cancer cases increased dramatically over the past 30 years, primarily driven by population aging and growth, posing challenges to the control of liver cancer. Targeted interventions by sex, etiology, and age are needed to address the burden effectively.

This paper proposes PestNet, a lightweight method for classifying crop pests, which improves upon MobileNet-V2 to address the high model complexity and low classification accuracy commonly found in pest classification research. Firstly, the training phase employs the AdamW optimizer and mixup data augmentation techniques to enhance the model’s convergence and generalization capabilities. Secondly, the Adaptive Spatial Group-Wise Enhanced (ASGE) attention mechanism is introduced and integrated into the inverted residual blocks of the MobileNet-V2 model, boosting the model’s ability to extract both local and global pest information. Additionally, a dual-branch feature fusion module is developed using convolutional kernels of varying sizes to enhance classification performance for pests of different scales under real-world conditions. Lastly, the model’s activation function and overall architecture are optimized to reduce complexity. Experimental results on a proprietary pest dataset show that PestNet achieves classification accuracy and an F1 score of 87.62% and 86.90%, respectively, marking improvements of 4.20 percentage points and 5.86 percentage points over the baseline model. Moreover, PestNet’s parameter count and floating-point operations are reduced by 14.10% and 37.50%, respectively, compared to the baseline model. When compared with ResNet-50, MobileNet V3-Large, and EfficientNet-B1, PestNet offers superior parameter efficiency and floating-point operation requirements, as well as improved pest classification accuracy.

Advanced periodontitis initiates with Porphyromonas gingivalis (P. gingivalis) infection, which subsequently triggers chronic inflammation, immune imbalance, and ultimately causes alveolar bone resorption. Traditional periodontal treatment focuses on the elimination of triggering factors, but tend to ignore the improvement of the inflammatory microenvironment and the remodeling of the osteogenic mineralization space. Herein, zinc‐aluminum layered double hydroxide nanosheets (LDHs) loaded with icariin (ICA) are encapsulated into a gallic acid (GA)‐modified hydroxybutyl chitosan hydrogel (GA‐HBC), giving rise to a customized hydrogel system named GA‐HBC‐LIC, which can sequentially actualize antibacterial, anti‐inflammatory, and remineralization functions. A neutral chemical‐humoral space is created for osteogenesis via means of sequential regulation by the smart hydrogel. Concomitantly, appropriate mechanical properties and degradation performance of the hydrogel provide a desirable physical space for remineralization. In the spatiotemporal modulation of the hydrogel, zinc finger E‐box‐binding homeobox 1 (ZEB1) target of released zinc ions (Zn2+) action promotes macrophage polarization from M1 to M2 phenotype, thereby remodeling the immune microenvironment and releasing cytokines conducive to tissue regeneration. In sum, this study highlights the critical role of sequential inflammation regulation and the maintenance of osteogenic space in the regeneration of periodontal tissues, offering new insights for the clinical management of periodontitis. Through elaborate design, a biodegradable scaffold with excellent mechanical properties and suitability is fabricated, providing spatial support for subsequent physiological activities. The prepared GA‐HBC‐LIC hydrogel possesses sequential antibacterial, antioxidant, anti‐inflammatory and immunomodulatory functions, offering a suitable chemical and humoral microenvironment for effective bone regeneration. Customized hydrogel system represented a milestone in the promotion of healing in inflammatory and infectious bone defects in a spatiotemporal manner.

Binding phospholipid is a simple, yet flexible, strategy for anchorage of bacterial effectors at cell membrane to manipulate host signaling responses. Phosphatidylinositol 4-phosphate and phosphatidylinositol 4,5-biphosphate are the only two phospholipid species known to direct bacterial effectors to establish inner leaflet localization at the plasma membrane. Here, selectivity of phosphatidic acid (PA) by bacterial effectors for the plasma membrane anchorage and its molecular entity was identified. C-terminal BID domain of Bartonella T4SS effectors (Beps) directed the plasma membrane localization of Beps in host cells through binding with PA. A hydrophobic segment of the ‘HOOK’ subdomain from BID is inserted into the bilayer to enhance the interaction of positively charged residues with the lipid headgroups. Mutations of a conserved arginine facilitating the electrostatic interaction, a conserved glycine maintaining the stability of the PA binding groove, and hydrophobic residues determining membrane insertion, prevented the anchorage of Beps at the plasma membrane. Disassociation from plasma membrane to cytosol attenuated the BepC capacity to induce stress fiber formation and cell fragmentation in host cells. The substitution of alanine with aspartic acid at the -1 position preceding the conserved arginine residue hindered BepD anchoring at the plasma membrane, a vital prerequisite for its ability to elicit IL-10 secretion in host macrophages. In conclusion, our findings reveal the PA-binding properties of bacterial effectors to establish plasma membrane localization and will shed light on the intricate mechanisms employed by bacterial effectors within host cells.

Water flow through fractured rocks in high-temperature settings is relevant to many subsurface geo-energy engineering projects including geothermal energy extraction, hydrocarbon production, and nuclear waste disposal. However, existing studies have either focused only on flow process within fractures at room temperature or on the thermal effect on fracture permeability. As a result, how and to what extent rock temperature affects the flow behavior in rock fractures remains poorly understood. Herein, we report an experimental study of the heated flow behavior in rock fractures at steady-state elevated temperatures under sequentially increasing flow rates. We find that rock temperature greatly affects the flow behavior within the fracture via two mechanisms: water properties variations and fracture closure. The former reduces the flow resistance, while the latter both reduces the effective hydraulic aperture and enhances the inertial effect. The more heterogeneous the initial aperture distribution is, the more significant the effect of the temperature-induced fracture closure on the flow nonlinearity will be. By combining the Forchheimer equation with water temperature measured at the fracture inlet and outlet, we quantitatively evaluated the effect of these two mechanisms on rock fracture permeability and flow nonlinearity. Finally, we develop an empirical expression for the critical hydraulic gradient of the fracture at different temperatures based on the nonlinear flow model for room-temperature fractures to quantify the emergence of non-Darcian flow. The findings from the present study are expected to shed insight into the prediction and evaluation of fluid flow within deep subsurface fractured reservoirs.HighlightsPhysical mechanism of thermal effect on water flow in heated rock fractures is revealed experimentally.Thermal effect promotes non-Darcian flow by changing water properties and inducing fracture closure.A parametric model to predict onset of non-Darcian flow in heated fractures is proposed.