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Introduction: This study aimed to explore the correlation between the extent of fundus damage and the severity strategies for chronic kidney disease (CKD). Methods: We collected data from 118 CKD patients, including general information, renal function indicators, and fundoscopic examination results. The stages of CKD and degrees of fundus lesions were graded. SPSS 25.0 software facilitated the analysis of correlations using Kendall's tau-b correlation analysis and ordinal regression analysis. Results: Statistically significant differences were observed among multiple CKD stages in the distribution of age, systolic blood pressure, diastolic blood pressure, hemoglobin, total cholesterol, homocysteine, cystatin C, serum creatinine, blood urea, eGFR, 24-hour urine protein, urine microalbumin, urine microalbumin/urine creatinine, and blood β2 microglobulin, complement C3. Notably, the levels of cytokeratin 19 fragment and transforming growth factor β significantly increased in all CKD stages. Kendall's tau-b correlation analysis revealed a significant positive correlation between CKD stage and fundus lesion grade. Ordinal regression analysis indicated that sex differences, total cholesterol levels, and hemoglobin levels were significant predictors of fundus lesion risk. Compared with patients at stage 5 CKD, the risk of fundus damage significantly lower in patients in stage 2 and stage 3, further demonstrating a positive correlation between renal function deterioration and increased risk of fundus damage. Conclusions: Routine fundus screening and early intervention for fundus lesions are vital for assessing CKD deterioration, providing new directions for future related research.

ObjectiveA lightweight and efficient ship detection method based on the YOLO-FNC model is proposed for complex environments such as ports with dense traffic. MethodFirst, a FasterNeXt neural network module is designed on the basis of the FasterNet method and replaces the C3 module in the YOLO model to ensure faster operation without affecting accuracy. Second, a normalization-based attention module (NAM) is integrated into the network structure and the sparse weight penalty is used to suppress the feature weights and ensure more efficient weight calculation. Finally, a new bounding box regression loss is proposed to speed up the prediction frame adjustment and increase the regression rate, thereby improving the convergence rate of the network mode. ResultsThe experimental results show that when performing detection experiments on ship datasets in a self-built complex environment, the proposed method improves the mAP@0.5 by 6.35%, reduces the parameter count by 9.74% and reduces the computational complexity by 11.39%. ConclusionThe proposed method effectively achieves lightweight and high-precision ship detection compared with the YOLOv5s algorithm.

Abstract The incidence of multiple primary lung cancer (MPLC) is increasing, with some of our surgical patients exhibiting numerous lesions. We defined lung cancer with five or more primary lesions as super MPLCs. Elucidating the genomic characteristics of this special MPLC subtype can help reduce disease burden and understand tumor evolution. In our cohort of synchronous super early-stage MPLCs (PUMCH-ssesMPLC), whole-exome sequencing on 130 resected malignant specimens from 18 patients provided comprehensive super-MPLC genomic landscapes. Mutations are enriched in PI3k-Akt and MAPK pathways. Their BRAF mutation frequency (31.5%) is significantly higher than MPLC with fewer lesions and early-stage single-lesion cancer, while EGFR mutations are significantly fewer (13.8%). As lesion counts increase, BRAF mutations gradually become dominant. Also, invasive lesions more tend to have classic super-MPLC mutation patterns. High-frequency BRAF mutations, especially Class II, and low-frequency EGFR mutations could be a reason for the limited effectiveness of targeted therapy in super-MPLC patients.

Abstract Background The Global Leadership Initiative on Malnutrition criteria (GLIM) was established to build a global consensus on the diagnostic criteria for malnutrition. The study aimed to assess the prevalence of the malnutrition diagnosed by GLIM criteria for patients with hepatocellular carcinoma (HCC), and to determine the role of the reduced muscle mass defined by CT scans in the GLIM criteria. Methods This cohort research was conducted on adult cirrhotic patients with HCC. The risk of malnutrition was screened by Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. The third lumbar vertebrae (L3-SMI) were used to represent the muscle mass in GLIM criteria. The variables associated with overall mortality were assessed by multivariate Cox regression analyses. Results The incidence of malnutrition diagnosed by GLIM criteria was 49.7% (179/360) in patients with HCC. If reduced muscle mass was not included in GLIM criteria, the prevalence of malnutrition was 31.7% (114/360). GLIM-defined malnutrition (HR = 1.979, 95%CI 1.019–3.841, P = 0.044) was independently associated with overall mortality in patients with HCC. However, the GLIM-defined malnutrition (without muscle mass) was not associated with overall mortality (HR = 0.863, 95%CI 0.399–1.867, P = 0.709). Conclusions Skeletal muscle mass is an integral component of the GLIM criteria for patients with HCC. The malnutrition is common in patients with HCC, and malnourishment is associated with higher overall mortality. GLIM criteria are recommended to assess the nutritional status of hospitalized patients with HCC, which is recommended and can be used as the basis for nutritional interventions.

Abstract Activation and selective oxidation of inert C(sp 3)–H bonds remain one of the most challenging tasks in current synthetic chemistry due to the inherent inertness of C(sp 3)–H bonds. In this study, inspired by natural monooxygenases, we developed a coordination polymer with naphthalenediimide (NDI)-based ligands and binuclear iron nodes. The mixed-valence FeIIIFeII species and chlorine radicals (Cl•) are generated via ligand-to-metal charge transfer (LMCT) between FeIII and chlorine ions. These Cl• radicals abstract a hydrogen atom from the inert C(sp 3)–H bond of alkanes via hydrogen atom transfer (HAT). In addition, NDI converts oxygen to 1O2 via energy transfer (EnT), which then coordinates to FeII, forming an FeIV = O intermediate for the selective oxidation of C(sp 3)–H bonds. This synthetic platform, which combines photoinduced EnT, LMCT and HAT, provides a EnT-mediated parallel multiphoton excitation strategy with kinetic synergy effect for selective C(sp 3)–H oxidation under mild conditions and a blueprint for designing coordination polymer-based photocatalysts for C(sp 3)–H bond oxidation.

Abstract Background Iopamidol is a non-ionic, water-soluble iodine contrast agent that is considered safe for intravenous or intra-arterial administration and is widely used both in the general population and in patients undergoing oncological treatment. While adverse reactions to iopamidol have been documented, to date, no pulmonary and gastric hemorrhages induced by iopamidol have been reported in oncology patients. We report the first case of this complication. Case presentation We report the case of a 60-year-old woman with marginal zone lymphoma who was receiving antineoplastic therapy. As part of the investigation for the condition, she underwent chest enhancement CT with iopamidol. Shortly thereafter(within five minutes), she experienced hemoptysis and hematemesis. She was intubated and admitted to the intensive care unit. Pre- and post-contrast images demonstrated the course of the hemorrhage. Flexible bronchoscopy and gastroscopy on the following day showed no active bleeding, and the patient recovered completely after antiallergy treatment. We speculate that contrast-induced hypersensitivity was the most likely cause of the transient pulmonary and gastric bleeding. Conclusion Although rare, the complications of iopamidol, which may cause allergic reactions in the lungs and stomach, should be considered.

Objective To investigate the efficacy and safety of Venetoclax combined with Azacitidine in the treatment of high-risk myelodysplastic syndrome. Methods A total of 56 patients with high-risk myelodysplastic syndrome were enrolled from June 2019 to June 2022 in the Second Affiliated Hospital of Qiqihar Medical University.The patients were divided into a control group(n=30) and a study group(n=26) by simple random sampling.The control group received Azacitidine chemotherapy.The study group received Venetoclax combined with Azacitidine chemotherapy.The efficacy, adverse reactions, lactate dehydrogenase, β2 microglobulin, and folic acid were compared between the two groups. Results The overall response rate in the study group was higher than that in the control group(P0.05).After treatment, the serum levels of lactate dehydrogenase, β2 microglobulin and folic acid in the study group were all lower than those in the control group(P

Sepsis-induced cardiomyopathy (SIC) is generally characterized by decreased cardiac ejection fraction (EF) reversibility, less cardiac response to fluid resuscitation and catecholamine, and rarely complicated with refractory ventricular fibrillation (RVF). Once RVF is induced, the mortality rate of sepsis patients will be greatly increased. In this case, we reported a 26-year-old female patient who was diagnosed sepsis-induced cardiomyopathy (SIC), presented with RVF for 36 hours. The patient was maintained by the mechanical circulatory support (MCS) devices and experienced twice defibrillation. Finally, the patient was discharged without intracardial thrombosis and severe craniocerebral complications. This case suggested that early application of MCS and appropriate frequency of defibrillation may help the prognosis of SIC with RVF.

Septic cardiomyopathy, a life-threatening complication of sepsis, can cause acute heart failure and carry a high mortality risk. Current treatments have limitations. Fortunately, engineered exosomes, created through bioengineering technology, may represent a potential new treatment method. These exosomes can both diagnose and treat septic cardiomyopathy, playing a crucial role in its development and progression. This article examines the strategies for using engineered exosomes to protect cardiac function and treat septic cardiomyopathy. It covers three innovative aspects: exosome surface modification technology, the use of exosomes as a multifunctional drug delivery platform, and plant exosome-like nanoparticle carriers. The article highlights the ability of exosomes to deliver small molecules, proteins, and drugs, summarizing several RNA molecules, proteins, and drugs beneficial for treating septic cardiomyopathy. Although engineered exosomes are a promising biotherapeutic carrier, they face challenges in clinical application, such as understanding the interaction mechanism with host cells, distribution within the body, metabolism, and long-term safety. Further research is essential, but engineered exosomes hold promise as an effective treatment for septic cardiomyopathy.

Template matching is a common approach in bin-picking tasks. However, it often struggles in complex environments, such as those with different object poses, various background appearances, and varying lighting conditions, due to the limited feature representation of a single template. Additionally, during the bin-picking process, the template needs to be frequently updated to maintain detection performance, and finding an adaptive template from a vast dataset poses another challenge. To address these challenges, we propose a novel template searching method in a latent space trained by a Variational Auto-Encoder (VAE), which generates an adaptive template dynamically based on the current environment. The proposed method was evaluated experimentally under various conditions, and in all scenarios, it successfully completed the tasks, demonstrating its effectiveness and robustness for bin-picking applications. Furthermore, we integrated our proposed method with YOLO, and the experimental results indicate that our method effectively improves YOLO’s detection performance.

Abstract In this paper, an angular position sensor (APS) designed for a resonant miniaturized scanning mirror (M-SM) is presented. The APS operates based on the principle of differential variable capacitance, significantly expanding the detectable bandwidth from a few hertz to several kilohertz. By modeling the motion characteristics, the sampling rates of the biaxial scanning angles are 1473.6 times and 539.4 times higher than those of conventional sensors. Initially, the motion characteristics model is presented as a simple harmonic motion, converting sampled capacitance into continuous capacitance. Subsequently, the nonparallel state of the M-SM and sensor is transformed into a parallel state through the space coordinate system transformation. Furthermore, a 2D nonlinear angle transfer function is developed to convert the differential capacitance into an angle, thereby mitigating the nonlinear errors resulting from large angles. Achieving an accuracy better than 0.014°, the measuring range expands from ±0.5729° (±10 mrad) to ±5.026° ( ± 87 mrad). Additionally, the capturing mode and tracking mode are proposed to monitor real-time angular changes of the M-SM with an accuracy of 0.017°. High-precision APSs have enhanced beam pointing accuracy and resolution and can thereby be used to advance the development of laser components, including light detection and ranging (LiDAR).

Abstract Tri‐post insulators in gas‐insulated transmission line (GIL) are usually fabricated with high mass fraction of micron aluminum oxide (Al2O3), which will unavoidably settle under the action of gravity during the preparation process and seriously affect the uniformity. A model of filler sedimentation in epoxy resin composite materials was proposed based on the particle size analysis and Stokes' Law. Some scaled tri‐post insulators were prepared and tested by slicing. It is determined that the position of density concentration is the lower side of the two lower posts and the upper interface between the insulator and the conductor. The density ranges from 2.144 to 2.346 g/cm3. The dynamic fracture simulation model of insulator was established and it is found that the insulator fracture occurs at the interface of upper post/insert under radial load, which is verified by experiments. By comparing the influence of sprue position on the density distribution, it is found that the uniformity of insulators is increased by 13.7% by forward pouring compared with reverse pouring. This research develops an accurate method for simulating the filler sedimentation and the fracture process in epoxy‐based insulators, which is helpful for the improvement of mechanical reliability of GIL.

One of the most frequent epigenetic modifications of RNA in eukaryotes is N6 methyladenosine (m6A), which is mostly present in messenger RNAs. Through the influence of several RNA processing stages, m6A modification is a crucial approach for controlling gene expression, especially in cancer progression. It is universally acknowledged that numerous non-coding RNAs (ncRNAs), such as microRNAs, circular RNAs, long non-coding RNAs, and piRNAs, are also significantly affected by m6A modification, and the complex genetic regulatory relationship between m6A and ncRNAs plays a pivotal role in the development of cancer. The connection between m6A modifications and ncRNAs offers an opportunity to explore the oncogene potential regulatory mechanisms and suggests that m6A modifications and ncRNAs could be vital biomarkers for multiple cancers. In this review, we discuss the mechanisms of interaction between m6A methylation and ncRNAs in cancer, and we also summarize diagnostic and prognostic biomarkers for clinical cancer detection. Furthermore, our article includes some methodologies for identifying m6A sites when assessing biomarker potential.

Background: The plasma concentrations of the four most commonly used first-line anti-tuberculosis (TB) drugs, isoniazid (INH), rifampicin (RMP), ethambutol (EMB), and pyrazinamide (PZA), are often not within the therapeutic range. Insufficient drug exposure could lead to drug resistance and treatment failure, while excessive drug levels may lead to adverse reactions. The purpose of this study was to identify the physiological parameters influencing anti-TB drug concentrations.Methods: A retrospective cohort study was conducted. The 2-h plasma concentrations of the four drugs were measured by using the high-performance liquid chromatography-tandem mass spectrometry method.Results: A total of 317 patients were included in the study. The proportions of patients with INH, RMP, EMB, and PZA concentrations within the therapeutic range were 24.3%, 31.5%, 27.8%, and 18.6%, respectively. There were positive associations between the concentrations of INH and PZA and RMP and EMB, but negative associations were observed between the concentrations of INH and RMP, INH and EMB, RMP and PZA, and EMB and PZA. In the multivariate analysis, the influencing factors of the INH concentration were the PZA concentration, total bile acid (TBA), serum potassium, dose, direct bilirubin, prealbumin (PA), and albumin; those of the RMP concentration were PZA and EMB concentrations, weight, α-l-fucosidase (AFU), drinking, and dose; those of the EMB concentration were the RMP and PZA concentrations, creatinine, TBA and indirect bilirubin; and those of the PZA concentration were INH, RMP and EMB concentrations, sex, weight, uric acid and drinking.Conclusion: The complex correlations between the concentrations of the four first-line anti-TB drugs lead to a major challenge in dose adjustment to maintain all drugs within the therapeutic window. Levels of TBA, PA, AFU, and serum potassium should also be considered when adjusting the dose of the four drugs.

Drought (D) and heat (H) are the two major abiotic stresses hindering cereal crop growth and productivity, either singly or in combination (D/+H), by imposing various negative impacts on plant physiological and biochemical processes. Consequently, this decreases overall cereal crop production and impacts global food availability and human nutrition. To achieve global food and nutrition security vis-a-vis global climate change, deployment of new strategies for enhancing crop D/+H stress tolerance and higher nutritive value in cereals is imperative. This depends on first gaining a mechanistic understanding of the mechanisms underlying D/+H stress response. Meanwhile, functional genomics has revealed several stress-related genes that have been successfully used in target-gene approach to generate stress-tolerant cultivars and sustain crop productivity over the past decades. However, the fast-changing climate, coupled with the complexity and multigenic nature of D/+H tolerance suggest that single-gene/trait targeting may not suffice in improving such traits. Hence, in this review-cum-perspective, we advance that targeted multiple-gene or metabolic pathway manipulation could represent the most effective approach for improving D/+H stress tolerance. First, we highlight the impact of D/+H stress on cereal crops, and the elaborate plant physiological and molecular responses. We then discuss how key primary metabolism- and secondary metabolism-related metabolic pathways, including carbon metabolism, starch metabolism, phenylpropanoid biosynthesis, γ-aminobutyric acid (GABA) biosynthesis, and phytohormone biosynthesis and signaling can be modified using modern molecular biotechnology approaches such as CRISPR-Cas9 system and synthetic biology (Synbio) to enhance D/+H tolerance in cereal crops. Understandably, several bottlenecks hinder metabolic pathway modification, including those related to feedback regulation, gene functional annotation, complex crosstalk between pathways, and metabolomics data and spatiotemporal gene expressions analyses. Nonetheless, recent advances in molecular biotechnology, genome-editing, single-cell metabolomics, and data annotation and analysis approaches, when integrated, offer unprecedented opportunities for pathway engineering for enhancing crop D/+H stress tolerance and improved yield. Especially, Synbio-based strategies will accelerate the development of climate resilient and nutrient-dense cereals, critical for achieving global food security and combating malnutrition.

Lonicerae japonicae Flos (LF) is a kind of healthcare food with hepatoprotective function. This study was designed to explore the spectrum-effect relationships between UPLC fingerprints and the hepatoprotective effects of LF. Fingerprints of ten batches of LF were established by UPLC-PDA. The inhibitory levels of AST and ALT were used as pharmacological indexes, and secoxyloganin, isochlorogenic acid A and isochlorogenic acid C were screened as hepatoprotective active compounds by grey relational analysis (GRA) and partial least squares regression analysis (PLSR). Caspase-3 was obtained by network pharmacology as a key target of hepatoprotective active compounds. Molecular docking is used to explore the interaction between small molecules and proteins. This work provided a general model of the combination of UPLC-PDA and hepatoprotective effect to study the spectrum-effect relationship of LF, which can be used to considerable methods and insight for the fundamental research of the material basis of similar healthcare food.

Abstract Objectives Doxorubicin (DOX) can contribute to severe myocardial injury, and bone marrow stromal cells (BMSC)‐exosomes (Exos) improves acute myocardial infarction. Hence, this research investigated whether BMSC‐Exos alleviated DOX‐induced myocardial injury. Methods BMSC‐derived Exos were isolated and identified, and the optimal concentration of DOX was confirmed. H9C2 cells were treated with DOX and BMSC‐Exos or in combination with the protein kinase B (AKT) inhibitor. Reactive oxygen species (ROS) and JC‐1 were detected to assess oxidative stress (OS) and mitochondrial membrane damage, respectively. In addition, the expression of pyroptosis‐related molecules was measured. The expression of phosphatidylinositol 3 kinase (PI3K)‐AKT pathway‐related proteins and the phosphorylation and acetylation of forkhead box O1 (Foxo1) in the cell nucleus and cytoplasm were tested. Last, interactions between Foxo1 and gasdermin D (GSDMD) were assessed. Results BMSC‐Exo treatment increased viability and mitochondrial membrane potential and reduced lactic dehydrogenase release and ROS levels in DOX‐treated H9C2 cells. Furthermore, the addition of BMSC‐Exos suppressed DOX‐induced activation and upregulation of NLRP3 and apoptosis‐associated speck‐like protein containing A CARD (ASC) and in vitro cleavage of caspase‐1, GSDMD, interleukin (IL)‐1β, and IL‐18 proteins. Additionally, BMSC‐Exo treatment enhanced the expression of phosphorylated (p)‐PI3K, p‐AKT, and p‐mTOR in DOX‐treated H9C2 cells and the levels of phosphorylated Foxo1 in the cytoplasm of DOX‐treated H9C2 cells. Foxo1 was enriched in the promoter region of GSDMD. Moreover, the AKT inhibitor API‐2 annulled the effects of BMSC‐Exos on OS, pyroptosis, and Foxo1 phosphorylation in DOX‐treated H9C2 cells. Conclusions BMSC‐Exos phosphorylated Foxo1 and inactivated Foxo1 transcription via the PI3K‐AKT pathway to diminish GSDMD expression, thus restraining DOX‐induced pyroptosis and OS of myocardial cells.

Abstract Background To evaluate the diagnostic performance of multiparametric transrectal ultrasound (TRUS) and to design diagnostic scoring systems based on four modes of TRUS to predict peripheral zone prostate cancer (PCa) and clinically significant prostate cancer (csPCa). Methods A development cohort involved 124 nodules from 116 patients, and a validation cohort involved 72 nodules from 67 patients. Predictors for PCa and csPCa were extracted to construct PCa and csPCa models based on regression analysis of the development cohort. An external validation was performed to assess the performance of models using area under the curve (AUC). Then, PCa and csPCa diagnostic scoring systems were established to predict PCa and csPCa. The diagnostic accuracy was compared between PCa and csPCa scores and PI-RADS V2, using receiver operating characteristics (ROC) and decision curve analysis (DCA). Results Regression models were established as follows: PCa = − 8.284 + 4.674 × Margin + 1.707 × Adler grade + 3.072 × Enhancement patterns + 2.544 × SR; csPCa = − 7.201 + 2.680 × Margin + 2.583 × Enhancement patterns + 2.194 × SR. The PCa score ranged from 0 to 6 points, and the csPCa score ranged from 0 to 3 points. A PCa score of 5 or higher and a csPCa score of 3 had the greatest diagnostic performance. In the validation cohort, the AUC for the PCa score and PI-RADS V2 in diagnosing PCa were 0.879 (95% confidence interval [CI] 0.790–0.967) and 0.873 (95%CI 0.778–0.969). For the diagnosis of csPCa, the AUC for the csPCa score and PI-RADS V2 were 0.806 (95%CI 0.700–0.912) and 0.829 (95%CI 0.727–0.931). Conclusions The multiparametric TRUS diagnostic scoring systems permitted better identifications of peripheral zone PCa and csPCa, and their performances were comparable to that of PI-RADS V2.

During the operation of the circulating cooling water system, inorganic scale deposition may cause technical problems, such as reduction of heat transfer efficiency in cooling systems and obstruction of pipes. In the industry, chemicals are often used as scale inhibitors in scale deposition control, antiscalants popular in industry are generally phosphorus and nitrogen-containing chemicals, which may lead to eutrophication. However, increasing environmental concern and discharge limitations have guided antiscalants to move toward biodegradability, nontoxicity and cost–effectiveness. This paper reviews current research on the application of using bio-materials as scale inhibitors, including proteins and amino acids, polysaccharides, plant extracts, microbial reagents, and microbiological products. The non-bioaccumulation, low cost, readily biodegradability and sustainably available characters promote the development of green-scale inhibitor chemistry. HIGHLIGHTS Scale inhibition mechanisms, evaluation methods and traditional scale inhibitors were prepared.; Scale inhibition efficiency of various bio-materials including proteins, polysaccharides, plant extracts are comprehensively reviewed, critically evaluated and along with their scale inhibition mechanism thoroughly discussed.; Utilizing biological methods on scaling control was proposed as future research direction.;

In this study, six strains of microbial agents were investigated as environmently friendly scale and corrosion inhibitors for industrial cooling water applications. The static jar tests along with characterization methods were applied to evaluate the scale inhibition performance. Results showed that under a concentration of 240 mg/L, the nitrobacteria, denitrobacteria and Lactobacillus agents reached high CaCO3 scale inhibition efficiencies of 83, 82, and 86% respectively. Characterization methods indicated the deposited crystals morphologies were modified and the crystals peak intensities were lowered. In addition, weight loss measurements, electrochemical measurements, surface characterization analyses were conducted to study the corrosion inhibition performances and mechanisms. It was found that at 40 °C, Bacillus cereus agent with 200 mg/L possessed the highest corrosion inhibition efficiency of 60.11% at 3 d, together with the second-lowest current density of 13.0 μA cm−2 at 12 d. The corrosion inhibition mechanisms were attributed to biofilm accumulation and biomineralization on Q235 CS surfaces to form protective film. The results suggested microbial agents have promising potential as environmently friendly scale and corrosion inhibitors for industrial cooling water applications. HIGHLIGHTS The feasibility of microbial agents using as scale and corrosion inhibitors was confirmed.; The CaCO3 scale inhibition efficiency of Lactobacillus agent after 24 h activation reached 87.60%.; Bacillus cereus agent displayed superior corrosion inhibition performance with a first accelerated, then inhibited, finally accelerated corrosion process.; The scale and corrosion inhibition effect closely related to microbial metabolism.;

Maize (Zea mays L.) is one of the major staple crops providing human food, animal feed, and raw material support for biofuel production. For its growth and development, maize requires essential macronutrients. In particular, nitrogen (N) plays an important role in determining the final yield and quality of a maize crop. However, the excessive application of N fertilizer is causing serious pollution of land area and water bodies. Therefore, cultivating high-yield and low-N-tolerant maize varieties is crucial for minimizing the nitrate pollution of land and water bodies. Here, based on the analysis of the maize leaf transcriptome and proteome at the grain filling stage, we identified 3957 differentially expressed genes (DEGs) and 329 differentially abundant proteins (DAPs) from the two maize hybrids contrasting in N stress tolerance (low-N-tolerant XY335 and low-N-sensitive HN138) and screened four sets of low-N-responsive genes and proteins through Venn diagram analysis. We identified 761 DEGs (253 up- and 508 down-regulated) specific to XY335, whereas 259 DEGs (198 up- and 61 down-regulated) were specific to HN138, and 59 DEGs (41 up- and 18 down-regulated) were shared between the two cultivars under low-N-stress conditions. Meanwhile, among the low-N-responsive DAPs, thirty were unique to XY335, thirty were specific to HN138, and three DAPs were shared between the two cultivars under low-N treatment. Key among those genes/proteins were leucine-rich repeat protein, DEAD-box ATP-dependent RNA helicase family proteins, copper transport protein, and photosynthesis-related proteins. These genes/proteins were involved in the MAPK signaling pathway, regulating membrane lipid peroxidation, and photosynthesis. Our results may suggest that XY335 better tolerates low-N stress than HN138, possibly through robust low-N-stress sensing and signaling, amplified protein phosphorylation and stress response, and increased photosynthesis efficiency, as well as the down-regulation of ‘lavish’ or redundant proteins to minimize N demand. Additionally, we screened glutathione transferase 42 (ZmGST42) and performed physiological and biochemical characterizations of the wild-type (B73) and gst42 mutant at the seedling stage. Resultantly, the wild-type exhibited stronger tolerance to low N than the mutant line. Our findings provide a better understanding of the molecular mechanisms underlying low-N tolerance during the maize grain filling stage and reveal key candidate genes for low-N-tolerance breeding in maize.

The circadian rhythm is a physiological phenomenon that occurs in various organisms with a cycle of about 24 hours. Light is one of the important environmental factors affecting biological rhythm. To clarify whether a shift in light spectrum can influence the circadian expression in fish brain, a total of 175 European seabasses [body weight: 32.5 ± 0.71) g; body length: (13.78 ± 0.35) cm] were exposed to white light (WL), red light (RL), yellow light (YL), green light (GL) or blue light (BL). After 50 days of exposure, circadian expressions of four core clock genes (Clock, Bmal1, Per2, Cry1) and Aanat2 gene in brain were examined. The results showed that the temporal expression patterns of positive clock gens (Clock and Bmal1) showed increases during the scotophase and decreases during the photophase, with peaks near the middle of the darkness. Clock gene expression showed a stable circadian rhythm (R2 = 0.578-0.824, P=0.000- 0.027) in all light groups while Bmal1 showed circadian rhythm in WL, GL and RL, not in BL and YL. Daily expression patterns of the negative clock genes oscillated in the opposite phase from the positive clock genes, showing increasing mRNA levels during the light, decreases during the dark, and peaks near the shift from night to day, except Per2 in RL and Cry1 in BL. Compared with WL, the acrophases of Clock and Bmal1 were delayed under all light treatments (BL: + 3.7h, +6.73h; RL: +2.4h,+1.35h; YL: + 4.94h, 2.00h; GL: +0.05, +0.16h). Cry1 showed advanced acrophase under all light treatments (BL: -10.74 h, GL: -3.81 h, RL: -3.93 h, YL: -7.56 h) but Per2 showed delayed acrophase in all light treatments (GL: +0.86 h, RL: +10.35 h, YL: +9.62 h), except in BL (-0.43 h). The acrophase of Aanat2 was advanced by all monochromatic light, the Aanat2 level was significantly increased in RL compared with other light treatment. Therefore, the results indicate that RL may regulate the expression of Aanat2 gene by affecting the expression of clock gene in fish brain. Spectrum can affect the biological clock system of fish, and unreasonable spectrum may disturb the rhythm of gene expression of biological clock of fish. Under the irradiation of light spectrum, some clock genes still maintain obvious circadian oscillation, while the rhythm of some clock genes is not obvious and may be destroyed. Our findings suggest a primary role of light spectrum information to the fish brain circadian system.

Highlights 1. Low expression of miRNA-214-5p is observed in prostate cancer cells. 2. miRNA-214-5p inhibits the proliferation of prostate cancer cells in vitro by targeting SOX4.

Abstract Background Combining targeted biopsy (TB) with systematic biopsy (SB) is currently recommended as the first-line biopsy method by the European Association of Urology (EAU) guidelines in patients diagnosed with prostate cancer (PCa) with an abnormal magnetic resonance imaging (MRI). The combined SB and TB indeed detected an additional number of patients with clinically significant prostate cancer (csPCa); however, it did so at the expense of a concomitant increase in biopsy cores. Our study aimed to evaluate if ipsilateral SB (ipsi-SB) + TB or contralateral SB (contra-SB) + TB could achieve almost equal csPCa detection rates as SB + TB using fewer cores based on a different csPCa definition. Methods Patients with at least one positive prostate lesion were prospectively diagnosed by MRI. The combination of TB and SB was conducted in all patients. We compared the csPCa detection rates of the following four hypothetical biopsy sampling schemes with those of SB + TB: SB, TB, ipsi-SB + TB, and contra-SB + TB. Results The study enrolled 279 men. The median core of SB, TB, ipsi-SB + TB, and contra-SB + TB was 10, 2, 7 and 7, respectively (P

Abstract Pasteurella multocida is a leading cause of respiratory disorders in pigs. This study was designed to understand the genotypical and antimicrobial resistant characteristics of P. multocida from pigs in China. To achieve this, we briefly investigated 158 P. multocida isolates from pigs with respiratory disorders in China between 2019 and 2020. Genotyping through multiplex PCR assays assigned these 158 isolates into capsular genotypes A (60.13%, 95/158), D (35.44%, 56/158), F (4.43%, 7/158), and/or lipopolysaccharide (LPS) genotypes L3 (28.48%, 45/158) and L6 (66.46%, 105/158). In addition, eight isolates (5.06%, 8/158) were found to be nontypable using the LPS genotyping method. When combining the capsular genotypes and the LPS genotypes, D: L6 (34.81%, 55/158) and A: L6 (31.65%, 50/158) were the predominant genotypes, followed by A: L3 (24.05%, 38/158). PCR detection of virulence factor-encoding genes showed that over 80% of the isolates were positive for exbB, tonB, exbD, ompH, ptfA, fimA, sodA, sodC, fur, ompA, oma87, plpB, hsf-2, nanH and hgbB, suggesting the presence of these genes were broad characteristics of P. multocida. We also found approximately 63.92% (101/158), 51.27% (81/158), 8.86% (14/158), 7.59% (12/158), 3.16% (5/158), 0.63% (1/158), and 0.63% (1/158) of the isolates grew well in media with the presence of colistin (4 μg/mL), tetracycline (16 μg/mL), tigecycline (1 μg/mL), ampicillin (32 μg/mL), chloramphenicol (32 μg/mL), cefepime (16 μg/mL), and ciprofloxacin (1 μg/mL), respectively. This study contributes to the understanding of genotypes and antimicrobial resistance profile of P. multocida currently circulation in pigs of China.

Lonicerae Japonicae Flos has been used as a tea and medicine for more than 1,500 years. It has the functions of clearing heat, detoxification, and is often used to treat carbuncle, furuncle, throat arthralgia, erysipelas, heat-toxic blood dysentery, febrile fever. This paper summarizes the botany, ethnopharmacology, chemical composition and pharmacological action of Lonicerae Japonicae Flos from 1986 to 2022, and looks forward to the future research direction of Lonicerae Japonicae Flos. At present, the components isolated from Lonicerae Japonicae Flos include essential oils, organic acids, flavonoids, iridoids, saponins and other compounds. It has the effects of anti-inflammation, anti-virus, anti-bacteria, anti-oxidation, anti-tumor, protect liver and galltesticles, hypotensive, hypolipidemic, anti-thrombosis, anti-allergy, immune regulation and so on. It is often used in clinical treatment of diarrhea, hematochezia, febrile disease, exogenous wind-heat, and cold, swelling and toxin of carbuncle, sore throat and so on. The comprehensive evaluation of the quality of Lonicerae Japonicae Flos and the understanding of multi-target network pharmacology also need to be studied. As a kind of health food with high value, LJF is worthy of further promotion and development.

Stalk lodging, or breakage of the stalk at or below the ear, is one of the vital factors causing substantial yield losses in maize (Zea mays. L). Lodging affects maize plants’ physiological and molecular processes, eventually impacting plant growth and productivity. Despite this known fact, few researchers have investigated the genetic architecture underlying lodging in maize. Herein, through integrated transcriptome, metabolome, and phenotypic analyses of stalks of three diverse hybrid cultivars (highly resistant JNK738, mildly resistant JNK728, and lowly resistant XY335) at the tasseling (10 days to silking, 10 DTS) stage, we identified key genes and metabolic pathways modulating lodging resistance in maize. Based on the RNA-Seq analysis, a total of 10093 differentially expressed genes (DEGs) were identified from the comparison of the three varieties in pairs. Additionally, key lodging resistance–related metabolic pathways were obtained by KEGG enrichment analysis, and the DEGs were found predominantly enriched in phenylpropanoid and secondary metabolites biosynthesis pathways in the L_vs._H and M_vs._H comparison groups. Moreover, K-means analysis clustered the DEGs into clear and distinct expression profiles for each cultivar, with several functional and regulatory genes involved in the cell wall assembly, lignin biosynthetic process and hormone metabolic process being identified in the special clusters related to lodging resistance. Subsequently, integrating metabolome and transcriptome analyses revealed nine key lignin-associated metabolites that showed different expression trends in the three hybrid cultivars, among which L-phenylalanine and p-coumaric acid were regarded as differentially changed metabolites (DCMs). These two DCMs belonged to phenylalanine metabolism and biosynthesis pathways and were also supported by the RNA-Seq data. Furthermore, plant hormone signal transduction pathway–related genes encoding auxin, abscisic acid, jasmonates, and salicylic acid were differentially expressed in the three comparisons of lodging resistance, indicating these DEGs were valuable potential targets for improving maize lodging resistance. Finally, comparative physiological and qRT-PCR analyses results supported our transcriptome-based findings. Our research not only provides a preliminary theoretical basis and experimental ideas for an in-depth study of the regulatory networks involved in maize lodging resistance regulation but also opens up new avenues for molecular maize stalk lodging resistance breeding.

Light has long been known to have a profound influence on the growth and development of fish. The previous studies showed that different spectra had different effects on the growth of juvenile Takifugu rubripes. Among them, green light can promote the growth of Takifugu rubripes, but the influence mechanism is unknown. In this study, how different LED spectrums affect fish growth from the perspective of GH/IGF-I axis-related genes and apoptosis genes were deeply explored. In the experiment, juvenile Takifugu rubripes with an initial body length of (9.01 ± 0.70) cm and an initial body weight of (18.05 ± 3.17) g were selected as the research objects. 525 Takifugu rubripes juveniles were selected, cultured and monitored in five different LED spectrum treatment groups: white light (WL, λ 400-780nm), red light (RL, λ 625-630nm), yellow light (YL, λ 590-595nm), green light (GL, λ 525-530nm) and blue light (BL, λ 450-455nm). The photoperiod was 12L:12D, and the light intensity was set to 250 mW/m2. The effects of light spectrum on growth, melatonin synthesis, GH/IGF-I axis and relative expressions of apoptosis-related genes in juvenile Takifugu rubripes were studied, including arylalkylamine N-acetyltransferase (AANAT2), growth hormone (GH), growth hormone receptor type 1 (GHR1), growth hormone releasing hormone (GHRH), insulin-like growth factor type I (IGF-I), insulin-like growth factor type II (IGF-II), insulin-like growth factor binding protein (IGFBP), Bcl-2 protein family (Bcl-2), tumor suppressor (p53) and cysteine protease family (caspase 3, caspase 8, caspase 10) genes. The results showed that the final weight was the highest in the GL group (29.36 ± 3.78 g) and the lowest in the YL group (21.28 ± 2.56 g). The GL indeed promote the growth of Takifugu rubripes. The GHR1, IGF-I, IGF-II and IGFBP of juvenile Takifugu rubripes cultured under GL were significantly higher than those of WL (control group), BL and YL groups. The relative expression levels of GH and GHRH genes had no difference from those in the WL control group, and the relative expression levels of apoptosis genes in the GL group were significantly lower than those in the BL and YL groups. Under RL, the relative expression levels of all growth genes on the GH/IGF-I growth axis were relatively high. But at the same time, the relative expression of caspase 10 gene in juvenile Takifugu rubripes was high, and the growth state was inhibited. It is speculated that RL might disturb the endocrine system of the juvenile Takifugu rubripes, thus impeded its growth and development. Therefore, different LED spectra can affect the growth of juvenile Takifugu rubripes by affecting the expressions of GH/IGF-I growth axis and apoptosis-related genes: GL significantly promotes the growth of Takifugu rubripes, which may be due to that GL promoted the expressions of growth factors genes such as GHR1, IGF-I, and IGF-II, and decreased the expression of apoptosis-related genes, while the situation in the YL, BL and WL groups was on the contrary. RL significantly inhibited the growth of juvenile Takifugu Rubripes, which may be due to the fact that juvenile Takifugu Rubripes under RL were in a stressful state and the high expression of growth axis-related genes was not sufficient to offset the negative effects of the stress response, resulting in the inhibition of growth performance.

Ship fires exhibit the main characteristics of a high possibility of occurrence, large load, fast spreading, high difficulty in extinguishing, and serious losses. Therefore, once a fire occurs, it will cause huge loss in terms of economic and personnel safety. Firstly, a ship fire risk evaluation indicator system was constructed based on the causes and severity of the fires. Secondly, a comprehensive evaluation method for the fuzzy broad learning system (FBLS) was proposed. The fuzzy system was used to implement feature mapping on the input data, and the extracted fuzzy features were further input into the BLS enhancement layer. A fuzzy broad learning neural network structure was constructed by combining fuzzy features, feature nodes, and enhancement nodes. The method was applied to the field of risk assessment for the first time, and is a reference for subsequent studies. Finally, the risk levels of ship fires were classified and compared with evaluation methods such as fuzzy support vector machine (FSVM) and Fuzzy BP neural network (FBPNN) to demonstrate effectiveness and accuracy. The proposed FBLS method was used to predict actual cases, and the results showed consistency with the level determined by the accident investigation report published by the Maritime Bureau Administration.

Mesoporous silica materials have been widely used as gas adsorbents due to their excellent adsorption ability, large specific surface area, simple preparation process, and convenient functionalization. In this study, a core–shell mesoporous material MCM-41@SiO2 was synthesized and functionalized by CoCl2, and subsequently KSCN, to prepare an ammonia adsorbent. The adsorbent was proved to possess high surface area, good sphericity, uniform size, good dispersibility, and high adsorption capability following DLS, SEM, TEM, and a static adsorption study. Moreover, the successful functionalization and thermal stability were confirmed by FT-IR, XPS, and TGA. The material was then used to fabricate a glass tube sensor for the rapid naked-eye detection of ammonia gas. The sensor showed good performance in terms of sensing speed, selectivity, accuracy, and reusability. Within 5 s, NH3 could be detected by the discoloration, and a wide NH3 concentration from 20 to 1000 ppm could be detected. It also showed a good linear relationship between discoloration length and ammonia concentration. A reversible color change from blue to yellow indicated the presence of NH3, which was attributed to the formation and disassembly of ammonia-containing complex [Co(NH3)6(NCS)2]. With fast adsorption, naked-eye sensing properties, and good selectivity, the sensor holds good promise for indoor NH3 sensing and other more complicated situations.

In order to lessen the effect of La-doped on the gas-sensing response of SnO2 powders, different La-doped SnO2 powders were prepared by sol-gel method, and the prepared SnO2 and La-doped SnO2 powders were characterized and analyzed by Fourier transform infrared spectroscopy (FT-IR), transmission electron microscopy (TEM), scanning electron microscope (SEM), specific surface area and pore size tester (BET) and X-ray diffractometer (XRD). The gas-sensing response of the samples were tested. The results show that La doping reduces the grain size of SnO2. With the increase of La doping, the gas-sensing response of La-doped SnO2 powders to ethanol increases first and then decreases. When the molar ratio of La/Sn is 0.25, the gas-sensing response of La-doped SnO2 powder to ethanol is the highest, 43.5% higher than that of pure SnO2 to ethanol.

A calculation method considering ventilation resistance was proposed for designing a cluster-based inductive ventilation system for a real passenger-dedicated railway tunnel. In the system, jet fans were installed only at the two portals, instead of being arranged along the tunnel. A 20 MW train fire was simulated in Fire Dynamics Simulator (FDS) 6.6 to reproduce the designed fire, and the tunnel ventilation was validated using full-scale ventilation experiments. The simulation results showed that the growth of the ventilation velocities was periodically fluctuating. At a height of 2 m above the rail surface, the temperatures always remained below 60 °C, and the visibilities upstream of the fire were not affected by the smoke. It can be concluded that the designed ventilation scheme can effectively inhibit smoke backflow, and both the cluster-based inductive ventilation system and calculation method are feasible.

Aiming at the problem of poor arc ablation resistance of Ag-SnO2 electrical contact materials, Fe-doped SnO2 powders with different contents were prepared by sol-gel method, Fe-doped Ag/SnO2 electrical contact material were prepared by high-energy ball milling process. XRD, UV-Vis, BET and SEM were used to analyze the prepared materials. The results are as follows: with the increase of Fe content, the hardness, density and electrical conductivity of the Ag/SnO2 contact material first increase and then decrease. When the Fe/Sn molar ratio is 12%, the hardness, electrical conductivity and density of the Fe-doped Ag/SnO2 contact material are the highest, and the hardness, conductivity and density increase by 5.99%、6.73% and 0.32% respectively. Fe-doped improves the adsorption ability of SnO2 particles to heterogeneous molecules, the interface bonding force between Ag and SnO2 particles, and the interfacial wettability between Ag and SnO2, thereby improving the arc erosion resistance of the Ag/SnO2 contact material.

Despite larger nonlinear coefficients, waveguide losses have prevented using semiconductors instead of dielectric materials for on-chip frequency-comb sources. By significantly reducing waveguide loss, ultra-low-threshold Kerr comb generation is demonstrated in a high-Q AlGaAs-on-insulator microresonator system.

Drought is one of the most severe environmental stressors hampering maize (Zea mays L.) production worldwide. Therefore, revealing the molecular mechanisms underpinning maize drought tolerance is critical for guiding drought resistance breeding and ensuring global food security. Herein, we performed a data-independent acquisition (DIA) proteomics-based comparative analysis of the proteome responses of two contrasting maize hybrids (drought-tolerant NongDan 476 and drought-sensitive ZhongXin 978) exposed to 12 days of water-deficit (drought) treatment at the kernel filling stage. Resultantly, our DIA-based analysis approach identified a total of 826 differentially abundant proteins (DAPs), among which 7 DAPs were specifically accumulated in tolerant genotype ND 476 under drought treatment conditions. Moreover, our results showed that there were significant differences in drought stress responses between the two hybrids at the proteomic level. Predominantly, our analysis revealed that maize drought tolerance is attributed to some key proteins such as chaperones, DNA replication related enzymes, vicilin and ABA-responsive RAB17 protein, participating in several metabolic networks including starch and sucrose metabolism, terpenoid backbone biosynthesis, cyanoamino acid metabolism and carbon metabolism pathways. Our findings provide further insights into the drought stress tolerance mechanisms in maize at the grain filling period, in addition to useful reference data for maize drought resistance breeding.

Drought is a major abiotic stress factor that affects the yield of maize (Zea mays L.) during the grain filling period. Therefore, it is critical to reveal the molecular mechanisms underlying maize drought stress tolerance. To analyze the characteristics and functions of differentially abundant proteins (DAPs) in response to drought stress during the maize kernel-filling stage, here, two maize hybrid varieties with contrasting drought tolerance (tolerant ND476 and sensitive ZX978) were subjected to water sufficient (control) and water deficit (drought) treatment conditions for 12 days at the grain filling stage. Physiological assays and leaf proteome analysis were performed. We conducted iTRAQ analysis on 12 samples from 4 groups and obtained 1,655 DAPs. Amongst these, five essential sets of drought responsive DAPs were identified by bioinformatics techniques. Four significantly enriched metabolic pathways were identified in ND476, which were shown to be associated with the ribosome, metabolic, basal transcription factors and photosynthesis pathways. Further, the phenotypic characterization and qRT-PCR analysis confirmed our iTRAQ sequencing data. Remarkably, significantly higher drought tolerance of ND476 may be attributed to the following responses: (a) oxidoreductase, peroxidase and hydrolytic enzyme activities to promote cell redox homeostasis maintenance; (b) elevated expression of stress defense proteins; and (c) reduced synthesis of redundant proteins in order to help plants preserve energy to fight drought stress. In conclusion, these results offer more insights into the molecular mechanisms underlying maize drought tolerance at the grain filling stage and can be a foundational basis for molecular breeding of drought tolerant maize varieties.

In this paper, we present a novel navigation framework for the Fetch robot in a large-scale environment based on submapping techniques. This indoor navigation system is divided into a submap mapping part and an on-line localization part. For the mapping part, in order to deal with large environments or multi-story buildings, a submap mapping framework fusing two-dimensional (2D) laser scan and 3D point cloud from RGBD sensor is proposed using Google Cartographer. Meanwhile, several image datasets with corresponding poses are created from the RGBD sensor. Thanks to the submap framework, the error is limited corresponding to the size of the map, thus localization accuracy will be improved. For the on-line localization, so as to switch the submaps, the on-line images from the RGBD sensor are used to match the database images using DeepLCD, a deep learning based library for loop closure. Based on the information from DeepLCD and odometry, adaptive Monte Carlo localization (AMCL) is reinitialized to finish the localization task. In order to validate the result accuracy, reflectors and a motion capture system are used to compute the absolute trajectory error (ATE) and the relative pose error (RPE) based on the Gaussian-Newton (GN) algorithm. Finally, the proposed framework is tested on the Fetch simulator and the real Fetch robot, including both submap mapping and on-line localization.

Novel crop improvement approaches, including those that facilitate for the exploitation of crop wild relatives and underutilized species harboring the much-needed natural allelic variation are indispensable if we are to develop climate-smart crops with enhanced abiotic and biotic stress tolerance, higher nutritive value, and superior traits of agronomic importance. Top among these approaches are the “omics” technologies, including genomics, transcriptomics, proteomics, metabolomics, phenomics, and their integration, whose deployment has been vital in revealing several key genes, proteins and metabolic pathways underlying numerous traits of agronomic importance, and aiding marker-assisted breeding in major crop species. Here, citing several relevant examples, we appraise our understanding on the recent developments in omics technologies and how they are driving our quest to breed climate resilient crops. Large-scale genome resequencing, pan-genomes and genome-wide association studies are aiding the identification and analysis of species-level genome variations, whilst RNA-sequencing driven transcriptomics has provided unprecedented opportunities for conducting crop abiotic and biotic stress response studies. Meanwhile, single cell transcriptomics is slowly becoming an indispensable tool for decoding cell-specific stress responses, although several technical and experimental design challenges still need to be resolved. Additionally, the refinement of the conventional techniques and advent of modern, high-resolution proteomics technologies necessitated a gradual shift from the general descriptive studies of plant protein abundances to large scale analysis of protein-metabolite interactions. Especially, metabolomics is currently receiving special attention, owing to the role metabolites play as metabolic intermediates and close links to the phenotypic expression. Further, high throughput phenomics applications are driving the targeting of new research domains such as root system architecture analysis, and exploration of plant root-associated microbes for improved crop health and climate resilience. Overall, coupling these multi-omics technologies to modern plant breeding and genetic engineering methods ensures an all-encompassing approach to developing nutritionally-rich and climate-smart crops whose productivity can sustainably and sufficiently meet the current and future food, nutrition and energy demands.

The complex structure of gas-insulated switchgear (GIS) cable terminals leads to serious electric field concentration, which is a frequent fault position of a high-voltage cable system. At present, due to the differences in the frequency bands of sensors, various partial discharge detection technologies have certain differences in their scope of application and anti-interference performance, resulting in a low defect detection rate in GIS cable terminals. In this paper, a comprehensive diagnosis scheme is proposed, which integrates transient earth voltage (TEV), ultra-high frequency (UHF), high frequency (HF), and ultrasonic methods. Two abnormal discharge defects of GIS terminals in two 220 kV substations in Tianjin were tracked and monitored, and the joint diagnosis was carried out using the proposed scheme; the type of discharge defect and the phase sequence of the defect were determined, and the UHV was employed to precisely locate and analyze the defect source. Finally, through the disassembly analysis and electric field simulation of the GIS cable terminal, the accuracy and effectiveness of the discharge detection and location method were verified, providing a typical detection demonstration for the defect diagnosis of a GIS cable terminal.

Estimated glomerular filtration rate (EGFR)-sensitive mutations are extremely important for targeted treatment strategies in lung cancer. Osimertinib can effectively inhibit the activity of EGFR-sensitive mutations, including the T790M mutation. However, the efficiency of osimertinib for rare mutation types of T790 is unclear. Here, we report the case of a Chinese patient with lung adenocarcinoma (LADC) harboring a T790I mutation who achieved significant benefits from osimertinib treatment.

Traditional Chinese medicine considers Lonicerae japonicae flos to have antibacterial detoxification, liver protection, and gallbladder protection. At present, studies have proven that Lonicerae japonicae flos has a good therapeutic effect on liver injury. Therefore, to confirm the clinical applicability of Lonicerae japonicae flos in the treatment of liver injury, we were the first to compare the pharmacokinetics of an oral ethanol extract of Lonicerae japonicae flos in normal rats and carbon tetrachloride-induced liver injury model rats. A method was developed for the simultaneous determination of 3-caffeoylquinic acid, 4-caffeoylquinic acid, 5-caffeoylquinic acid, 3,5-dicaffeoylquinic acid, 4,5-dicaffeoylquinic acid, protocatechuic acid, Sweroside, and Secoxyloganin in rat plasma by ultra-performance liquid chromatography tandem mass spectrometry. The results show that the method is reliable and reproducible and can be used for quantitative determination of biological samples. The pharmacokinetic parameters showed that the area under the concentration–time curve of eight compounds in the model group was significantly increased. The results showed that the total absorption of the active components of Lonicerae japonicae flos in the blood increased, the clearance rate slowed down, and the bioavailability of Lonicerae japonicae flos increased in liver injury diseases.

Pasteurella multocida generally colonizes mammalian/bird respiratory tracts and mainly causes respiratory disorders in both humans and animals. To date, the effects of P. multocida infection on the respiratory epithelial barriers and molecules in host respiratory epithelial cells in their response to P. multocida infection are still not well-known. In this study, we used newborn pig tracheal epithelial (NPTr) cells as an in vitro model to investigate the effect of P. multocida infection on host respiratory epithelial barriers. By detecting the transepithelial electrical resistance (TEER) values of NPTr cells and the expression of several known molecules associated with cell adherens and junctions, we found that P. multocida infection disrupted the barrier functions of NPTr cells. By performing RNA sequencing (RNA-Seq), we determined 30 differentially expressed genes (DEGs), including the vascular endothelial growth factor A (VEGFA) encoding gene VEGFA, which participated in biological processes (GO:0034330, GO:0045216, and GO:0098609) closely related to epithelial adhesion and barrier functions. These 30 DEGs participated in 22 significant signaling pathways with a p-value < 0.05, including the transforming growth factor (TGF)-beta signaling pathway (KEGG ID: ssc04350), hypoxia-inducible factor 1 (HIF-1) signaling pathway (KEGG ID: ssc04066), epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor resistance (KEGG ID: ssc01521), tumor necrosis factor (TNF) signaling pathway (KEGG ID: ssc04668), and mitogen-activated protein kinase (MAPK) signaling pathway (KEGG ID: ssc04010), which are reported to have roles in contributing to the production of inflammatory factors as well as the regulation of epithelial adhesion and barrier function in other tissues and organisms. The results presented in this study may help improve our understanding of the pathogenesis of P. multocida.

Photoperiodism is a vital environmental factor that regulates the growth, development, metabolism, and reproduction of aquatic organisms. Here, we examined how different photoperiods (0L: 24D, 8L: 16D, 12L: 12D, 16L: 8D, 24L: 0D) with a full spectrum LED, influence growth, feeding, digestive enzymes, and antioxidant enzymes in juvenile European Sea Bass (Dicentrachus labrax L.). Specifically, a total of 300 fishes (body length: 13.5 ± 0.54 cm, bodyweight: 45 ± 5.3 g) were randomly divided into 5 different light treatment groups. Sampling and analysis were conducted after 60 days of the experiment. Results revealed significantly higher weight gain, specific growth rate, and daily growth index in the 8L: 16D group, relative to 0L: 24D and 24L: 0D. Conversely, feed conversion ratio (FCR) was significantly lower in 8L: 16D, 12L: 12D, and 16L: 8D treatments than in 24L: 0D and 0L: 24D. Additionally, activities of intestinal amylase (AMS) lipase (LPS) pepsin (PPS) and trypsin (TPS) in the stomach were significantly higher in the 8L: 16D, relative to the other treatment groups. Gills of juveniles exposed to 0L: 24D recorded significantly higher catalase (CAT) and superoxide dismutase (SOD) activities, compared to those in the other groups. Regarding the dorsal muscle, a significantly higher CAT activity was recorded under 0L: 24D light than the other light photoperiods. Moreover, kidneys of juveniles exposed to 24L: 0D recorded the highest CAT and SOD activity. In summary, 8L: 16D, 12L: 12D, and 16L: 8D light photoperiods increased the digestive enzyme activity, reduced oxidative stress, and enhanced growth in fish, despite long-term exposure to light or darkness being unsuitable. These findings indicate that light and dark combinations are more conducive for culturing sea bass, with the 8L: 16D regime being the optimal photoperiod for the growth of juveniles.

It is highly desired to enhance charge separation and O2 adsorption of the pyropheophorbide-a (Ppa) to promote visible-light activity and stability. Herein, Ppa modified 001-facet-exposed TiO2 nanosheets (Ppa/001T) nanocomposites with different weight ratios were fabricated via the self-assembly approach by OH induced. Compared with the bare Ppa, the 8% amount optimized 8Ppa/001T sample displayed 41-fold enhanced activity for degradation of Ametryn (AME) under visible-light irradiation. The promoted photoactivities could be attributed to the accelerated charge carrier’s separation by coupling TiO2 as thermodynamic platform for accepting the photoelectrons with high energy from Ppa and the promoted O2 adsorption because of the residual fluoride on TiO2. As for this, a distinctive two radicals (•O2− and •OH) involved pathway of AME degradation is carried out, which is different from the radical pathway dominated by •O2− for the bare Ppa. This work is of utmost importance since it gives us detailed information regarding the charge carrier’s separation and the impact of the radical pathway that will pave a new approach toward the design of high activity visible-light driven photocatalysts.

Although a USV navigation system is an important application of unmanned systems, combining Inertial Navigation System (INS) with Global Positioning System (GPS) can provide reliable and continuous solutions of positioning and navigation based on its several advantages; the random error characteristics of INS and the instability derived from the GPS signal blockage represent a potential threat to the INS/GPS integration of USV. Under this background, a composition framework based on nonlinear generalization capability of support vector machines (SVM) and multi-resolution ability of wavelet transform is used to solve the difficulty that the INS suffers from the interference of stochastic errors, and the dynamic information of the USV is not influenced. An innovative fuzzy broad learning structure based on the broad learning (BL) method is utilized in the INS/GPS integration of USV, in which the navigation information of INS and GPS are deemed as the input of the Fuzzy Broad Learning System (FBLS) to train the network, and then the trained network of FBLS and navigation information of INS are applied for estimating the optimal navigation solution during the GPS signal blockage. Based on the USV platform, a sea trial was carried out to confirm the validity and feasibility of the proposed method by comparing with existing algorithms for INS/GPS integration. The experimental results show that the proposed approach could achieve the better denoising effect from random errors of INS and provide high-accuracy navigation solutions during GPS signal blockage.

The various types of metamaterials only have a sound transmission loss (STL) peak at the resonant frequency but are still constrained by the law of mass sound insulation at other frequencies. In this paper, a low-frequency and wideband resonant metamaterial plate with a front radial membrane was designed in order to improve the noise reduction band. Bandgap and STL were calculated by using the finite element method. Studies have shown that in the range of 1 Hz–100 Hz for new metamaterials, the frequency band with STL greater than 30 dB accounts for 75%, and the noise reduction starting frequency is 11 Hz. The mechanisms were investigated by a comprehensive analysis of mode shapes and sound intensity streamlines and then verified by the negative effective density and equivalent mass–spring model. The mechanism analysis shows that there is a wide bridge coupling bandgap between the respective bandgaps of the plate and the membrane. This novel metamaterial not only guarantees the low-frequency and wideband acoustic performance but also alleviates the problem of instability of the noise reduction performance of the membrane material after long-term use, providing a potential application in low-frequency and wideband noise control.

Drought is the major abiotic stress threatening maize (Zea mays L.) production globally. Despite recent scientific headway in deciphering maize drought stress responses, the overall picture of key genes, pathways, and co-expression networks regulating maize drought tolerance is still fragmented. Therefore, deciphering the molecular basis of maize drought tolerance remains pertinent. Here, through a comprehensive comparative leaf transcriptome analysis of drought-tolerant hybrid ND476 plants subjected to water-sufficient and water-deficit treatment conditions at flared (V12), tasseling (VT), the prophase of grain filling (R2), and the anaphase of grain filling (R4) crop growth stages, we report growth-stage-specific molecular mechanisms regulating maize drought stress responses. Based on the transcriptome analysis, a total of 3,451 differentially expressed genes (DEGs) were identified from the four experimental comparisons, with 2,403, 650, 397, and 313 DEGs observed at the V12, VT, R1, and R4 stages, respectively. Subsequently, 3,451 DEGs were divided into 12 modules by weighted gene co-expression network analysis (WGCNA), comprising 277 hub genes. Interestingly, the co-expressed genes that clustered into similar modules exhibited diverse expression tendencies and got annotated to different GO terms at different stages. MapMan analysis revealed that DEGs related to stress signal transduction, detoxification, transcription factor regulation, hormone signaling, and secondary metabolites biosynthesis were universal across the four growth stages. However, DEGs associated with photosynthesis and amino acid metabolism; protein degradation; transport; and RNA transcriptional regulation were uniquely enriched at the V12, VT, R2, and R4 stages, respectively. Our results affirmed that maize drought stress adaptation is a growth-stage-specific response process, and aid in clarifying the fundamental growth-stage-specific mechanisms regulating drought stress responses in maize. Moreover, genes and metabolic pathways identified here can serve as valuable genetic resources or selection targets for further functional validation experiments.

On January 2, 2020, The National Health Commission and the State Administration for Market Regulation listed Panacis Quinquefolii Radix (PQR) as a medicinal and food homologous product. PQR is the dry root of Panax quinquefolium L., which has the functions of replenishing qi and nourishing Yin, clearing heat and producing body fluid. It is often used for qi deficiency and Yin deficiency, heat exhaustion, asthma and phlegm, dry mouth and pharynx. PQR is sweet, slightly bitter and cool in nature, and enter the heart, lung and kidney meridian exerts the remedial and hygienical effect. At present, active components such as saponins, flavonoids, fatty acids, polyalkynes, volatile oils and other nutrients such as amino acids, carbohydrates, vitamins and trace elements have been isolated from PQR. Modern pharmacological studies have shown that PQR has the effects of hypoglycemic, antihypertensive, anti fatigue, anti-oxidation, anti-tumor, immunomodulatory, neuroprotective and so on. In addition, PQR is recognized as a health care product to strengthen the body and dispel diseases. It is not only the raw material of Traditional Chinese medicine preparations, but also the treasure of dietary therapy and herbal cuisine. This study not only reviewed the botany, phytochemistry and pharmacology of PQR, but also summarized its quality control, toxicity and industrial applications for the first time. This paper not only summarizes the development status of PQR, but also analyzes the shortcomings of the current research on PQR, and puts forward the corresponding solutions, in order to provide reference for future scholars to study PQR.

In this study, 258 soil samples were collected to determine the total content and each speciation fraction of chromium (Cr), manganese (Mn), copper (Cu), zinc (Zn), cadmium (Cd), and lead (Pb) in the soil by inductively coupled plasma mass spectrometry (ICP-MS), and their potential ecological and human health risks were assessed using the geo-accumulation index (Igeo), risk assessment code (RAC), and health risk assessment. The results showed that: (1) The mean concentrations of heavy metals (HMs) (mg/kg) in the surface soil of the site were in the order of Pb (1921.77) > Mn (598.21) > Zn (162.29) > Cr (84.65) > Cu (15.16) > Cd (1.8), with the mean values of Cd and Pb exceeding the local background values by 164 and 725 times. (2) In the vertical direction, Cr, Mn, and Pb have no tendency to migrate downward; Cd and Zn demonstrate a strong ability to migrate. (3) The bioavailability of Cd is the highest in the surface soil, followed by Mn and Pb; in the soil below a depth of 0.5 m, the prevalent form of HMs is its residual state (F4). (4) The degree of Igeo pollution of each HMs is: Pb > Cd > Zn > Cr = Mn = Cu, where Pb pollutes the environment to an extremely contaminated level and Cd causes heavy pollution thereof. According to the RAC results, Cd in the surface soil poses a high risk to the environment, and Pb and Mn pose a moderate risk; meanwhile, with the increase of depth, the risk posed by Cd and Mn to the ecosystem shows a tendency to increase. Health risk evaluation indicated that respiratory intake was the main pathway affecting the carcinogenic risk (CR) and hazard quotient (HQ) of HMs, where Pb and Cr were the main hazard factors for non-CR and Cr was the main carcinogenic factor. This study can provide scientific guidance and technical support for soil risk control or remediation of HM-contaminated sites.

Abstract In this study, Chinese Academy of Sciences land cover dataset (CAS_LC) and soil texture dataset (CAS_ST) as well as Tsinghua University land cover dataset (TU_LC) were incorporated into the Weather Research and Forecasting (WRF) model to evaluate the impacts of land cover and soil texture changes on the surface wind and air temperature as compared with outdated default datasets. Six modeling scenarios including single updating for the three new datasets, combined updating of new datasets (CAS_LC + CAS_ST, TU_LC + CAS_ST), and default datasets are designed. WRF simulations were conducted with three resolutions (9, 3, and 1 km) for the period of 14 July to 31 September 2017 over Harbin. Results of the 10‐m wind speed, 10‐m wind direction, and 2‐m air temperature (T2) were evaluated against WRF default datasets (WLS). Results show that TU_LC‐related simulations with lower mean absolute error (MAE) demonstrated the usefulness of this dataset in the wind speed simulation, while the changing soil texture exerted a limited effect on modeled wind. CAS_LC improved simulated wind direction and T2. Significant changes in the three variables were frequently induced by urban and built‐up land or water bodies related transformations. The 3‐km grid resolution was sufficient to reasonably simulate the surface winds and air temperature. The roughness length was a main factor disturbing the wind speed, while the land cover transformation was responsible for the changes in surface temperature and heat fluxes, thereby affecting T2 simulation.