Search Results (350)

Most existing cloud base height (CBH) retrieval algorithms are only applicable for daytime satellite observations due to their dependence on visible observations. This study presents a novel algorithm to retrieve day and night CBH using infrared observations of the geostationary Advanced Himawari Imager (AHI). The algorithm is featured by integrating deep learning techniques with a physical model. The algorithm first utilizes a convolutional neural network-based model to extract cloud top height (CTH) and cloud water path (CWP) from the AHI infrared observations. Then, a physical model is introduced to relate cloud geometric thickness (CGT) to CWP by constructing a look-up table of effective cloud water content (ECWC). Thus, the CBH can be obtained by subtracting CGT from CTH. The results demonstrate good agreement between our AHI CBH retrievals and the spaceborne active remote sensing measurements, with a mean bias of −0.14 ± 1.26 km for CloudSat-CALIPSO observations at daytime and −0.35 ± 1.84 km for EarthCARE measurements at nighttime. Additional validation against ground-based millimeter wave cloud radar (MMCR) measurements further confirms the effectiveness and reliability of the proposed algorithm across varying atmospheric conditions and temporal scales. Full article

Branching is a critical agronomic trait in flowering Chinese cabbage (Brassica rapa subsp. chinensis), influencing plant architecture and yield. In this study, there was a highly significant difference between CX010 (single primary rosette branches) and BCT18 (multiple primary rosette branches). Phenotypic analysis revealed significant differences in primary rosette branch numbers, with BCT18 showing up to 15 branches and CX010 displaying only one main stem branch. Genetic analysis indicated that branching was controlled by quantitative trait loci (QTL) with a normal distribution of branch numbers. Using bulked segregant analysis coupled with sequencing (BSA-seq), we identified a candidate interval of approximately 2.96 Mb on chromosome A07 linked to branching. Fine mapping narrowed this to a 172 kb region containing 29 genes, with BraA07g032600.3C (BrTCP1) as the most likely candidate. cDNA cloning of the BrTCP1 gene revealed several variations in BCT18 compared to CX010, including a 6 bp insertion, 10 SNPs, and two single-nucleotide deletions. Expression analysis indicated that BrTCP1 was highly expressed in the rosette stems of CX010 compared to BCT18, consistent with its role as a branching suppressor. The heterologous mutants in Arabidopsis confirmed the conserved role of BrTCP1 in branch inhibition. These findings reveal that BrTCP1 might be a key regulator of branching in flowering Chinese cabbage, providing insights into the molecular mechanisms underlying this trait and offering a framework for genetic improvement in Brassica crops. Full article

Gallium oxide (Ga₂O₃), as a wide-bandgap semiconductor material, is highly expected to find extensive applications in optoelectronic devices, high-power electronics, gas sensors, etc. However, the photoelectric properties of Ga₂O₃ still need to be improved before its devices become commercially viable. As is well known, doping is an effective method to modulate the various properties of semiconductor materials. In this study, Zn–N co-doped Ga₂O₃ films with various doping concentrations were grown in situ on sapphire substrates by atomic layer deposition (ALD) at 250 °C, followed by post-annealing at 900 °C. The post-annealed undoped Ga₂O₃ film showed a highly preferential orientation, whereas with the increase in Zn doping concentration, the preferential orientation of Ga₂O₃ films was deteriorated, turning it into an amorphous state. The surface roughness of the Ga₂O₃ thin films is largely affected by doping. As a result of post-annealing, the bandgaps of the Ga₂O₃ films can be modulated from 4.69 eV to 5.41 eV by controlling the Zn–N co-doping concentrations. When deposited under optimum conditions, high-quality Zn–N co-doped Ga₂O₃ films showed higher transmittance, a larger bandgap, and fewer defects compared with undoped ones. Full article

Augmented reality (AR) has become a research focus in computer vision and graphics, with growing applications driven by advances in artificial intelligence and the emergence of the metaverse. Panoramic cameras offer new opportunities for AR due to their wide field of view but also pose significant challenges for camera pose estimation because of severe distortion and complex scene textures. To address these issues, this paper proposes a lightweight, unsupervised deep learning model for panoramic camera pose estimation. The model consists of a depth estimation sub-network and a pose estimation sub-network, both optimized for efficiency using network compression, multi-scale rectangular convolutions, and dilated convolutions. A learnable occlusion mask is incorporated into the pose network to mitigate errors caused by complex relative motion. Furthermore, a panoramic view reconstruction model is constructed to obtain effective supervisory signals from the predicted depth, pose information, and corresponding panoramic images and is trained using a designed spherical photometric consistency loss. The experimental results demonstrate that the proposed method achieves competitive accuracy while maintaining high computational efficiency, making it well-suited for real-time AR applications with panoramic input. Full article

Under the dual-carbon policy framework, geological CO₂ storage, particularly in saline aquifers, is pivotal to achieving national emission reduction targets. However, selecting geologically favorable storage sites demands quantitative assessment of complex geological factors—a task hindered by subjective traditional methods. To address this, the study employs an integrated approach combining multi-criteria decision analysis (Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation) with multiphase flow simulations to investigate the Dezhou Subdepression in Shandong Province. The results indicate that the Dezhou Subdepression is moderately favorable for CO₂ geological storage, characterized by geologically optimal burial depth and favorable reservoir conditions. When the injection pressure increases from 1.1 times the original Group pressure (1.1P) to 1.5 times the original Group pressure (1.5P), the lateral migration distance of CO₂ expands by 240%, and the total storage capacity increases by approximately 275%. However, under 1.5P conditions, the CO₂ plume reaches the model boundary within 6.3 years, underscoring the increased risk of CO₂ leakage under high-pressure injection scenarios. This study provides strategic insights for policymakers and supports strategic planning for a CO₂ storage pilot project in the Dezhou Subdepression. It also serves as a reference framework for future assessments of CO₂ geological storage potential. Full article

SHROOM3 encodes an actin-binding protein involved in kidney development and has been associated with chronic kidney disease through genome-wide association studies. However, its regulatory role in proteinuric kidney diseases and its mechanistic contributions to podocyte homeostasis remain poorly defined. Here, we analyzed single-cell transcriptomic datasets and the Nephroseq database to delineate SHROOM3 expression patterns in proteinuric kidney diseases. Using podocyte-specific SHROOM3 knockout mice and an Adriamycin (ADR)-induced nephropathy mouse model, we demonstrated that glomerular SHROOM3, specifically in podocytes, was upregulated following ADR treatment during the acute injury phase but downregulated in chronic kidney disease. Clinically, the glomerular SHROOM3 expression positively correlated with glomerular filtration rates in focal segmental glomerulosclerosis patients. Genetic ablation of SHROOM3 in podocytes exacerbated ADR-induced proteinuria, diminished podocyte markers (nephrin, podocin, and WT1), and accelerated glomerulosclerosis. In vitro, SHROOM3 deficiency impaired podocyte size and adhesion, concomitant with the downregulation of focal adhesion molecules (talin1, vinculin, and paxillin) and stress fiber regulators (synaptopodin and RhoA), as well as calpain activation and RhoA inactivation. Our findings reveal a critical role for SHROOM3 in maintaining podocyte integrity and suggest its therapeutic potential in mitigating proteinuric kidney disease progression. Full article

Dragon fruit comprises a wide variety of species that are rich in nutritional value and have great economic potential; however, numerous studies have focused on their nutritional and commercial quality. In contrast, few studies have addressed their flavor quality, particularly with respect to the regulatory networks responsible for their flavor-related substance contents. To this end, we sequenced the transcriptomes and metabolomes of red-skin/white-fleshed and red-skin/red-fleshed dragon fruit at different timepoints during fruit development. RNA-seq and metabolome data were used to divide the seven developmental stages of the dragon fruit into four categories (young fruit, expansion, maturity, and senescence). In all, 16,827 differentially expressed genes (DEGs), including 958 transcription factors, were identified and grouped into 10 clusters, and the pathways in each cluster were annotated. Additionally, 318 differentially accumulated metabolites (DAMs) were identified, including 88 common metabolites. The main flavor-related substances and the key genes regulating them were determined via joint analysis via RNA-seq and metabolomics. Furthermore, 10 volatile active components related to green flavors and aromas were screened according to the relative odor activity value (ROAV), and 15 candidate genes related to key flavor compounds were screened via WGCNA, 3 of which encoded transcription factors. In conclusion, our results provide a theoretical basis for an in-depth understanding of the volatile flavor compounds in dragon fruit and provide new genetic resources for the subsequent study of fruit flavor compounds. Full article

Hyperspectral imagery (HSI), with its rich spectral information across continuous wavelength bands, has become indispensable for fine-grained land cover classification in remote sensing applications. Although some existing deep neural networks have exploited the rich spectral information contained in HSIs for land cover classification by designing some adaptive learning modules, these modules were usually designed as additional submodules rather than basic structural units for building backbones, and they failed to adaptively model the spectral correlations between adjacent spectral bands and nonadjacent bands from a local and global perspective. To address these issues, a new adaptive spectral-correlation learning neural network (ASLNN) is proposed for HSI classification. Taking advantage of the group convolutional and ConvLSTM3D layers, a new adaptive spectral correlation learning block (ASBlock) is designed as a basic network unit to construct the backbone of a spatial–spectral feature extraction model for learning the spectral information, extracting the spectral-enhanced deep spatial–spectral features. Then, a 3D Gabor filter is utilized to extract heterogeneous spatial–spectral features, and a simple but effective gated asymmetric fusion block (GAFBlock) is further built to align and integrate these two heterogeneous features, thereby achieving competitive classification performance for HSIs. Experimental results from four common hyperspectral data sets validate the effectiveness of the proposed method. Specifically, when 10, 10, 10 and 25 samples from each class are selected for training, ASLNN achieves the highest overall accuracy (OA) of 81.12%, 85.88%, 80.62%, and 97.97% on the four data sets, outperforming other methods with increases of more than 1.70%, 3.21%, 3.78%, and 2.70% in OA, respectively. Full article

Background: Clinical data indicate that at least half of patients with malignancies receive radiotherapy. While radiotherapy effectively kills tumor cells, it is also associated with significant ionizing radiation (IR) damage. Moreover, the increasing emissions of nuclear pollutants raise concerns about the potential exposure of more individuals to the risks associated with IR. The Chinese term for amniotic fluid (AF) is rooted in the Yin–Yang theory of traditional Chinese medicine, where it symbolizes the inception of human life. Chick early AF (ceAF), a natural product, has shown promise in the field of regenerative medicine. There have been no studies investigating the potential efficacy of ceAF in the treatment of IR-induced damage. This study aims to assess the therapeutic potential of ceAF in alleviating IR-induced damage and elucidate its potential molecular mechanism. Methods: In vivo experiments were conducted on 8-week-old male C57BL/6J mice to investigate the effects of ceAF in a radiation injury model induced by whole-body irradiation with X-rays (6 Gy) for 5 min. The ceAF was extracted from chicken embryos aged 7–9 days. Results: We found that the supplementation of ceAF reduces mortality induced by IR, improves exercise capacity in IR mice, and reverses IR-induced skin damage. IR leads to varying degrees of volume atrophy and weight loss in the major internal organs of mice. However, ceAF intervention effectively mitigates IR-induced organ damage, with a notable impact on the spleen. The supplementation of ceAF enhances spleen hematopoietic and immune functions by reducing oxidative stress, alleviating inflammatory responses, and preventing splenic DNA damage from IR exposure, ultimately leading to an overall improvement in health. Conclusions: ceAF effectively alleviates body damage induced by IR, and our findings provide new perspectives and therapeutic strategies for mitigating IR-induced damage. Full article

Background: The re-emerging mpox virus (MPXV) has spread to numerous countries and raised global concern. There is an urgent need for a safe and effective mRNA vaccine candidate against MPXV infection. Previously, we developed a penta-component mRNA vaccine that contained five distinct antigen-encoded mRNAs encapsulated within lipid nanoparticles (LNPs). Here, we sought to develop a single-chain mRNA vaccine that encodes antigens derived from both intracellular mature virion (IMV) and extracellular enveloped virion (EEV). Methods: A single-chain mRNA vaccine encoding a fusion protein comprising the ectodomains of M1R (eM1R) and A35R (eA35R) (MPXV^eM1-eA35) was developed and characterized, while an admixed formulation of two individual mRNA-LNPs encoding separate antigens was developed as the control (MPXV^eM1+eA35). Meanwhile, based on the same strategy, we designed a single-chain mRNA vaccine encoding dimeric antigens (MPXV^eM1-eA35-Fc). Mice were immunized with two doses of the candidate vaccines, and both humoral and cellular immune responses were evaluated. The protective efficacy of the candidate vaccines was evaluated based on body weight monitoring and tissue viral load measurement after challenge with vaccinia virus (VACV). Results: Immunization with two doses of MPXV^eM1-eA35 elicited robust levels of neutralizing antibodies and antigen-specific cellular immune response. Importantly, MPXV^eM1-eA35 demonstrated protective efficacy in a VACV challenge mouse model and showed superior capacity in preventing weight loss post-challenge compared to MPXV^eM1+eA35. Similarly, MPXV^eM1-eA35-Fc exhibited comparable or superior immunogenicity and protective efficacy compared to the admixed formulations. Conclusions: The single-chain mRNA vaccine elicited a protective immune response in mice, offering significant advantages in terms of manufacturing processes and quality control. Our single-chain mRNA vaccine platform presents a promising strategy for the next generation design of mpox vaccines and contributes to the mitigation of MPXV endemic worldwide. Full article

This study experimentally investigates the breakup mechanisms and atomization characteristics of liquid jets in subsonic crossflows and develops a penetration depth model that incorporates the incidence angle. Experimental data show that the model fits well, with a minimum R² value of 0.924 and an average of 0.969. High-speed imaging techniques were used to systematically analyze the effects of liquid- and gas-phase Weber numbers and incidence angles on the penetration and atomization of liquid jets. The experimental results indicate the following: (1) As the liquid Weber number (We_l) increases, the penetration depth increases, while the gas Weber number (We_a) is inversely related to penetration depth. (2) A decrease in the incidence angle (ranging from 45° to 90°) significantly reduces penetration performance. (3) As We_a increases, the volume median diameter (VMD) of droplets decreases by 61.70% to 83.09%, while smaller incidence angles cause a 42.96% increase in the VMD. The VMD shows a non-linear trend with respect to We_l, reflecting the complex interaction between inertial forces and surface tension. These findings provide a theoretical basis for understanding the atomization behavior of transverse jets and the key parameters affecting penetration and droplet formation. The results are of practical significance for the structural optimization and performance enhancement of air-assisted atomizing nozzles used in precision agricultural spraying systems. Full article

The aim of this study was to investigate the influence of operational and design parameters on the conveying efficiency and material layer stability of air slides and to optimize the parameters of the XZ200 air slide. A gas–solid coupled simulation of the conveying process was conducted using ANSYS v2023 and Rocky v23R1 software. Three key variables—inclination angle, input air velocity, and permeable layer porosity—were analyzed to evaluate their effects on wheat flour conveying efficiency and layer stability. Orthogonal experiments and matrix analysis were applied to comprehensively assess the numerical simulation results. The findings reveal that the conveying ratio is positively correlated with input air velocity and inclination angle but negatively correlated with permeable layer porosity. Meanwhile, material layer fluctuation and stability increase with inclination angle but decrease with higher porosity. Through orthogonal testing and matrix analysis, the optimal parameter combination was determined as follows: input air velocity of 1.8 m/s, porosity of 37.84%, inclination angle of 6°, conveying ratio of 96.52%, and material layer fluctuation of 4.39 mm. This study provides a reference methodology for gas–solid coupled simulation in air slide design and offers practical guidance for parameter optimization in air slide systems. Full article

Nucleases are critical metabolic enzymes expressed by mycoplasmas to acquire nucleic acid precursors from the host for their parasitic existence. Certain nucleases, either membrane-bound or secreted, not only contribute to the growth of mycoplasmas but also serve as key virulence factors due to their unique spatial structures and physiological activity. The pathogenesis includes, but is not limited to, degradation of host DNA and RNA, leading to disruptions of nucleic acid metabolism and the induction of host cell apoptosis; degradation of neutrophil extracellular traps (NETs), allowing escape from neutrophil-mediated killing; and upregulation of inflammatory molecules to modulate the immune response of the host. Understanding the biological functions of nucleases is essential for gaining deeper insights into the virulence and immune evasion strategies of mycoplasmas, which can inform the development of novel approaches for the prevention, diagnosis, and treatment of mycoplasma infections. Full article

The temperature and humidity profiles within the planetary boundary layer (PBL) are crucial for Earth’s climate research. The Atmospheric Sounder Spectrometer by Infrared Spectral Technology (ASSIST) measures downward thermal radiation in the atmosphere with high temporal and spectral resolution continuously during day and night. The physics-based retrieval method, utilizing iterative optimization, can obtain solutions that align with the true atmospheric state. However, the retrieval is typically an ill-posed problem and is affected by noise, necessitating the introduction of regularization. To achieve high-precision detection, a systematic evaluation was conducted on the retrieval performance of temperature and humidity profiles using ASSIST by regularization methods based on the Gauss–Newton framework, which include Fixed regularization factor (FR), L-Curve (LC), Generalized Cross-Validation (GCV), Maximum Likelihood Estimation (MLE), and Iterative Regularized Gauss–Newton (IRGN) methods, and the Levenberg–Marquardt (LM) method based on a damping least squares strategy. A five-day validation experiment was conducted under clear-sky conditions at the Anqing radiosonde station in China. The results indicate that for temperature profile retrieval, the IRGN method demonstrates superior performance, particularly below 1.5 $\mathrm{k}\mathrm{m}$ altitude, where the mean BIAS, mean RMSE, mean Degrees of Freedom for Signal (DFS), and mean residual reach 0.42 $\mathrm{K}$, 0.80 $\mathrm{K}$, 3.37, and $3.01\times {10}^{-13}$ $\left(\mathrm{W}/{\mathrm{c}\mathrm{m}}^2 \mathrm{s}\mathrm{r} {\mathrm{c}\mathrm{m}}^{-1}\right)$, respectively. In contrast, other regularization methods exhibit over-regularization, leading to degraded information content. For humidity profile retrieval, below 1.5 $\mathrm{k}\mathrm{m}$ altitude, the LM method outperforms all regularization-based methods, with the mean BIAS, mean RMSE, mean DFS, and mean residual of 3.65$\%$, 5.62$\%$, 2.05, and $4.36\times {10}^{-12}$ $\left(\mathrm{W}/{\mathrm{c}\mathrm{m}}^2 \mathrm{s}\mathrm{r} {\mathrm{c}\mathrm{m}}^{-1}\right)$, respectively. Conversely, other regularization methods exhibit strong prior dependence, causing retrieval to converge results toward the initial guess. Full article

The objective of this study was to elucidate the immune system response to heat stress in chickens. In this study, mRNA-seq was conducted on the spleen and bursa of experimental chickens, six differentially expressed genes associated with immunity were present in the spleen following immunization. Following exposure to heat stress, 15 differentially expressed genes related to immune and heat shock proteins were identified. Furthermore, the expression levels of DUSP1 and HSPA5 were significantly lower in the non-stressed group. With regard to the mechanism, overexpression of DUSP1 or HSPA5 resulted in no significant difference in MHC-I, MHC-II, and CD80 mRNA expression. However, following stimulation with LPS, mRNA expression of MHC-II, CD80, CD86, CD1C, IL1B, and TLR4 was significantly increased. Furthermore, the enhancement was observed to occur at an earlier stage than when LPS was stimulated alone, thereby facilitating the recognition of LPS by HD11. Following the inhibition of DUSP1 or HSPA5 and the stimulation of LPS, no significant alterations were detected. However, CD1C expression was notably diminished. In conclusion, DUSP1 and HSPA5 have been demonstrated to play important roles in immunity to heat stress by affecting antigen presentation. The present study provides a theoretical basis for the regulation mechanism of disease resistance in poultry. Full article