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Abstract To investigate the relationship between Leisure time physical activity (LTPA) patterns and PhenoAgeAccel in patients with Type 2 diabetes (T2D), emphasizing the role of regular LTPA in mitigating biological aging. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, including 4,134 adults with T2D. Multivariable linear regression models and restricted cubic spline (RCS) methods were employed to assess the relationship between LTPA and Phenotypic age acceleration (PhenoAgeAccel), with segmented likelihood ratio tests to detect nonlinear thresholds. Stratified regression and interaction tests were conducted for robust analysis. Compared to individuals with no LTPA patterns, those with regular LTPA patterns had significantly lower PhenoAgeAccel scores (β = -1.164, 95% CI: -1.651 to -0.677, P

Abstract The sparse Bayesian learning (SBL) algorithm has demonstrated its advantage in the direction of arrival (DOA) estimation. However, it requires a lot of computational cost to iteratively estimate the SBL hyperparameters from measurement data. This paper focuses on fast estimating the array shape and DOAs using SBL for a short towed line array (TLA) during manoeuvring. A parabolic model is utilised to describe the bent TLA whose bow as a hyperparameter is estimated in the SBL iterative process. Then, the basis vector pruning strategy is considered in the iteration to reduce computational cost by neglecting the impossible directions of signal presence. The converged speed of the joint estimation algorithm is further improved by approximately calculating the posterior probability density with the message passing approach. The effectiveness of the optimising joint estimation algorithm is verified using the experimental results from South China Sea.

【Objective】 Panax Notoginseng is a medicinal herb and primarily grown in Southern China. This paper investigates the impact of irrigation and fertilization on soil potassium and pH, as well as yield and quality of Panax Notoginseng. 【Method】 The experiment was conducted in Dalishu Village, Luxi County, located in the Honghe Hani and Yi Autonomous Prefecture, Yunnan Province. It consisted of four fertilizations by applying the 480 kg/hm2 of fertilizers at different ratios in the seedling, flowering, fruiting and root gain stages: 25%∶25%∶25%∶25%(F1), 25%∶30%∶20%∶25%(F2), 30%∶30%∶15%∶25%(F3), and 40%∶20%∶10%∶30%(F4). Each fertilization had three irrigation treatments: 200 m3/hm2(W1), 300 m3/hm2(W2) and 400 m3/hm2(W3). The control (CK) was F1 combined with 92 m3/hm2 of irrigation. In each treatment, we measured the changes in soil potassium content and pH. The technique for order preference by similarity to ideal solution (TOPSIS) was used to evaluate all treatments. 【Result】 ① When irrigation and fertilization were the same, soil pH decreased with soil depth and tended to stabilize as the crop grew. The soil pH showed little sensitive to fertilization. When irrigation was the same, the average soil pH was lower in the four treatments than in the CK. During the experimental period, pH of the 0-60 cm soil in different treatments varied from 4.80-8.66. W3F1, W2F4 and W2F3 gave the optimal soil pH for the crop to grow. ② Both total and available soil potassium decreased with increasing soil depth. As the crop grew, the total potassium in the 0-60 cm soil layer increased, while the available potassium decreased initially before increasing. With increasing irrigation amount, total soil potassium decreased, while the available potassium increased initially followed by a decline. Fertilization influenced the dynamics of total and available potassium. Irrespective of fertilization and irrigation, potassium uptake by roots in different growing stages was ranked as follows: fruiting period>flowering period>root weight gain period>seedling stage. Of all the treatments, W2F3 was optimal for soil potassium, with total and available potassium being 10.40 g/kg and 56.69 mg/kg, respectively. ③ Regardless of fertilization, with the increase in irrigation amount, the yield and partial factor productivity (PFP) of the crop increased first followed by a decline. The yield, water use efficiency and PFP varied with fertilization. TOPSIS analysis showed that the optimal irrigation was 300 m3/hm2 and the optimal fertilization was applying 144, 144, 72 kg/hm2 and 120 kg/hm2 of fertilizers in the seedling, flowering, fruiting and root weight gain stage, respectively. 【Conclusion】 Based on soil potassium, pH, as well as yield and quality of Panax Notoginseng, the optimal irrigation and fertilization for Panax Notoginseng production in the studied area were irrigating 300 m3/hm2 and applying 144, 144, 72 kg/hm2 and 120 kg/hm2 of fertilizers in the seedling, flowering, fruiting and root weight gain stage, respectively.

Zhihan Jiang,1,* Yingying Dai,2,* Jing Chang,2 Pingchao Xiang,3 Zhenyu Liang,4 Yan Yin,5 Yongchun Shen,6 Ruiying Wang,7 Bianba Qiongda,8 Hongling Chu,9 Nan Li,9 Xiaoyan Gai,1,10 Ying Liang,1,10 Yongchang Sun1,10 1Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, People’s Republic of China; 2School of Basic Medical Sciences, Peking University, Beijing, People’s Republic of China; 3Department of Respiratory and Critical Care Medicine, Peking University Shougang Hospital, Beijing, People’s Republic of China; 4Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, GuangZhou, People’s Republic of China; 5Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, People’s Republic of China; 6Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, People’s Republic of China; 7Department of Respiratory and Critical Care Medicine, Shanxi Bethune Hospital, Taiyuan, People’s Republic of China; 8Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People’s Hospital, Lhasa, People’s Republic of China; 9Clinical Epidemiology Research Center, Peking University Third Hospital, Beijing, People’s Republic of China; 10Research Center for Chronic Airway Diseases, Peking University Health Science Center, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ying Liang; Yongchang Sun, Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, North Garden Road 49, Haidian District, Beijing, People’s Republic of China, Tel +86 13810964766 ; +86 13910979132, Fax +86 108 226 6989, Email bysyliangying@126.com; suny@bjmu.edu.cnBackground: Tuberculosis and chronic obstructive pulmonary disease (COPD) are significant public health challenges, with pulmonary tuberculosis recognized as a pivotal risk factor for the development of COPD. Tuberculosis-associated COPD is increasingly recognized as a distinct phenotype of COPD that potentially exhibits unique clinical features. A thorough understanding of the precise definition, clinical manifestations, prognosis, and most effective pharmacological strategies for tuberculosis-associated COPD warrants further investigation.Methods: This prospective, observational cohort study aims to enroll over 135 patients with tuberculosis-associated COPD and 405 patients with non-tuberculosis-associated COPD, across seven tertiary hospitals in mainland China. The diagnosis of tuberculosis-associated COPD will be established based on the following criteria: (1) history of pulmonary tuberculosis with standard antituberculosis treatment; (2) suspected pulmonary tuberculosis with radiological evidence indicative of tuberculosis sequelae; (3) no definitive history of pulmonary tuberculosis but with positive interferon-gamma release assay results and radiological signs suggestive of tuberculosis. At baseline, demographic information, medical history, respiratory questionnaires, complete blood count, interferon-gamma release assays, medications, spirometry, and chest computed tomography (CT) scans will be recorded. Participants will be followed for one year, with evaluations at six-month intervals to track the longitudinal changes in symptoms, treatment, lung function, and frequencies of COPD exacerbations and hospitalizations. At the final outpatient visit, additional assessments will include chest CT scans and total medical costs incurred.Discussion: The findings of this study are expected to delineate the specific characteristics of tuberculosis-associated COPD and may propose potential treatment options for this particular phenotype, potentially leading to improved clinical management and patient outcomes.Keywords: chronic obstructive pulmonary disease, COPD, pulmonary tuberculosis, tuberculosis-associated COPD, protocol

Pingping Xiang,1,2,* Qi Liu,1,3,* Wangwei Jing,1,4 Yaping Wang,1 Hong Yu1,5,6 1Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310009, People’s Republic of China; 2Key Laboratory of Multiple Organ Failure (Zhejiang University), Ministry of Education, Hangzhou, Zhejiang Province, People’s Republic of China; 3Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China; 4Department of Cardiology, Affiliated Hangzhou First People’s Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, People’s Republic of China; 5State Key Laboratory of Transvascular Implantation Devices, Hangzhou, 310009, People’s Republic of China; 6Binjiang Institute of Zhejiang University, Hangzhou, 310053, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hong Yu; Yaping Wang, Tel +86-571-87783992, Fax +86-571-88002709, Email yuvascular@zju.edu.cn; yapingwang@zju.edu.cnBackground and Purpose: Growth hormone-releasing hormone (GHRH) agonist, a 29-amino acid peptide, shows significant potential in treating myocardial infarction (MI) by aiding the repair of injured heart tissue. The challenge lies in the effective on-site delivery of GHRH agonist. This study explores the use of a targetable delivery system employing ROS-responsive PEG-PPS-PEG polymers to encapsulate and deliver GHRH agonist MR409 for enhanced therapeutic efficacy.Methods: We synthesized a self-assembling poly (ethylene glycol)-poly (propylene sulfide)-poly (ethylene glycol) polymer (PEG-PPS-PEG) amphiphilic polymer responsive to reactive oxygen species (ROS). The hydrophilic peptide GHRH agonist MR409 was encapsulated within these polymers to form nano PEG-PPS-PEG@MR409 vesicles (NPs). Cardiomyocyte apoptosis was induced under hypoxia and serum-free culture condition for 24 hours, and their production of ROS was detected by fluorescence dye staining. The cellular uptake of PEG-PPS-PEG@MR409 NPs was observed using fluorescence-labeled MR409. Targeting ability and therapeutic efficacy were evaluated using a mouse MI model.Results: PEG-PPS-PEG@MR409 NPs were efficiently internalized by cardiomyocytes, reducing ROS levels and apoptosis. These NPs exhibited superior targeting to the infarcted heart compared to naked MR409 peptide. With a reduced injection frequency (once every three days), PEG-PPS-PEG@MR409 NPs significantly promoted cardiac function recovery post-MI, matching the efficacy of daily MR409 injections.Conclusion: ROS-responsive PEG-PPS-PEG polymers provide a novel and effective platform for the targeted delivery of GHRH agonist peptides, improving cardiac function and offering a new approach for peptide therapy in MI treatment. Keywords: myocardial infarction, targeted therapy, growth hormone-releasing hormone, reactive oxygen species

There is great exploration potential for ultra-deep reservoirs in Junggar Basin， and reservoir prediction with seismic data is the main technical means of oil and gas exploration at present. However， due to the low signal-to-noise ratio of seismic data of ultra-deep reservoirs， unclear reservoir-seismic data correspondence， and few actual drilling wells， it is difficult to establish an effective initial model for seismic inversion， which restricts the accuracy and reliability of ultra-deep reservoir prediction. Gravity inversion， as an important quantitative interpretation method， can obtain the characteristics of underground density distribution and provide support for geological interpretation. According to the density model， a relatively reliable low-frequency model can be established for seismic inversion， which can overcome the difficulty of applying seismic data in ultra-deep reservoirs to a certain extent. Meanwhile， the acquisition of gravity data is economical and convenient compared with that of seismic data， and it is easier to be applied in practice. Therefore， a new technique applying gravity inversion to seismic data-based reservoir prediction was developed in this article. Firstly， a quasi-neural network gravity inversion technique based on Gaussian radial basis functions was proposed to solve the gravity inversion problem and improve the resolution and reliability of gravity inversion. Then， the density body obtained by gravity inversion was used as training data， and a neural network was trained together with seismic and logging data to establish the initial model of seismic inversion. Finally， seismic inversion was carried out with the initial model constraints. This technique broke through the application bottleneck of single seismic data in ultra-deep reservoir prediction and overcame the limitations of logging constraints， providing a reliable initial model for seismic inversion. The application of this technique to the prediction of ultra-deep clastic rock reservoirs in Junggar Basin was consistent with the existing geological knowledge， indicating that this method had high practical value and application potential for ultra-deep reservoir prediction and could provide technical support for ultra-deep reservoir exploration.

Abstract Background To explore and compare the values of 3.0T magnetic resonance imaging (MRI) T2 mapping in evaluating the degree of acetabular cartilage degeneration in hip replacement surgery. Methods A total of 26 elderly patients with femoral neck fractures who were scanned in 3.0T MRI T2 mapping quantification technique were included. Basing on MRI images, the degree of acetabular cartilage degeneration was classified into Grade 0, 1, 2, 3 and 4, according to the International Cartilage Repair Society (ICRS) scores. In addition, 8 healthy volunteers were included for control group. Results By comparison with health population, T2 relaxation values in the anterior, superior, and posterior regions of acetabular cartilage in patients with femoral neck fracture were obviously increased (P 0.05). Importantly, acetabular cartilage degeneration can be detected through signal changes of T2 mapping pseudo-color images. Conclusion 3.0T MRI T2 mapping technology can be used to determine the degree of acetabular cartilage degeneration, which can effectively monitor the disease course.

Steel-concrete composite beam has been increasingly applied to large span cable-stayed bridges. It takes full advantage of the material properties of steel and concrete. However, the concrete deck bears tension in the negative moment zone, such as zero block, which is disadvantageous to structures. Aiming at this problem, a finite element model of the zero block in the negative moment zone of a semi-floating cable-stayed bridge is built, and the local mechanical performance of the bridge deck under completed status is studied. Based on the analysis results, three improvement measures have been proposed. The improvement effect of each method and composed of three methods has been studied. The numerical results show that the whole zero block zone is in the compressed state under the combined action of the bending moment and axial force of the stay cable. However, the local negative moment effect in the zero block zone is very prominent under the support of the diaphragm plate. Removing parts of the diaphragm plate at the bearing position can significantly improve local mechanical behavior in the concrete deck, which transfers the local support to the adjacent two diaphragm plates. The composed improvement effect is prominent when the three measures are adopted simultaneously.

Deoxynivalenol (DON), a prevalent and highly toxic mycotoxin in animal feed, poses significant risks to livestock health and productivity. This study evaluates the effectiveness of iron-manganese oxide (Fe/Mn oxides) in degrading DON. The DON degradation rate of Fe/Mn oxide reached 98.46 % in a controlled solution under specific conditions (0.2 % concentration, 37–85 °C, pH 6–7, 1-minute reaction time). When applied to actual feed, it reduced DON levels by approximately 49.3 % and remained stable in simulated gastrointestinal environments of weaned piglets. A 28-day trial involving 48 weaned piglets assessed the impacts of Fe/Mn oxides on health and growth. Results indicated that piglets consuming contaminated feed without the treatment exhibited reduced growth and compromised gut integrity, which were significantly mitigated by the addition of Fe/Mn oxides. Therefore, Fe/Mn oxides effectively reduce DON in feed and alleviate adverse health effects in piglets, making them a viable option to enhance safety and performance in mycotoxin-prone environments.

As major components of terrestrial ecosystems, forest ecosystems play an important role in sequestering carbon and hence mitigating climate change. Canopy height is a crucial factor characterizing the structure and function of forest ecosystems, yet the driving mechanism of forest canopy height receives less attentions in China. Here, we utilize the satellite-based forest canopy height product with several environmental and climate factors (e.g. forest age, temperature, etc.) to delineate the spatial distributions of forest canopy height and its drivers in China at 1 km spatial resolution during the period of 2014 to 2018. The random forest is employed for identifying the dominant factors at province level, while Shapley additive explanations (SHAP) analysis is further incorporated at pixel-level to dig into the specific contributions of each driver. The results show that forest age primarily dominates the spatial distributions of forest canopy height across different forest ecosystems of China, followed by mean annual precipitation, soil type, and aspect. SHAP analysis further indicates that other factors, such as soil moisture and wind speed, also play critical roles to shape the spatial patterns of forest canopy height in China, which could not be revealed from province-level random forest analyses. Such results emphasize the priority of incorporating SHAP analysis with random forest to advance our understanding of forest canopy height distributions and benefit future projections. Our study highlights the necessity to characterize the spatial heterogeneity of forest canopy height, which is critical for accurate estimations of forest and even terrestrial carbon sink in China, facilitating the achievement of the goal of “carbon peak in 2030 and carbon neutrality in 2060”.

Although semantic segmentation is widely employed in autonomous driving, its performance in segmenting road surfaces falls short in complex traffic environments. This study proposes a frequency-based semantic segmentation with a transformer (FSSFormer) based on the sensitivity of semantic segmentation to frequency information. Specifically, we propose a weight-sharing factorized attention to select important frequency features that can improve the segmentation performance of overlapping targets. Moreover, to address boundary information loss, we used a cross-attention method combining spatial and frequency features to obtain further detailed pixel information. To improve the segmentation accuracy in complex road scenarios, we adopted a parallel-gated feedforward network segmentation method to encode the position information. Extensive experiments demonstrate that the mIoU of FSSFormer increased by 2% compared with existing segmentation methods on the Cityscapes dataset.

PurposeThis study aimed to compare the efficacy of [18F]AlF-NOTA-FAPI-04 PET/CT with that of [18F]FDG PET/CT for detecting postoperative recurrence in patients with gastric cancer.MethodsThis single-center retrospective clinical study was performed at Hunan Cancer Hospital between December 2020 and June 2022. The participants underwent both [18F]AlF-NOTA-FAPI-04 and [18F]FDG within 14 days. Histopathologic examination, morphological imaging, and/or follow-up imaging were used as a reference for the final diagnosis. We recorded the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of [18F]AlF-NOTA-FAPI-04 and [18F]FDG PET/CT for detecting local recurrence, lymph node metastasis and distant metastasis. The SUVmax and background ratio (TBR) of local recurrence and metastases between [18F]FDG and [18F]AlF-NOTA-FAPI-04 PET/CT were compared using paired-sample t tests.ResultsForty-seven patients (27 males, aged 25–68 years) with gastric cancer after curative resection (27 with adenocarcinoma, 17 with signet ring cell carcinoma and 4 with mucinous adenocarcinoma) were included in the study. [18F]AlF-NOTA-FAPI-04 accumulation was significantly greater than that of [18F]FDG in terms of local recurrence (SUVmax, 11.65 vs 3.48, p< 0.0001; TBR, 12.93 vs 2.94, p< 0.0001), lymph node metastasis (SUVmax, 13.45 vs 3.05, p=0.003875; TBR, 12.43 vs 2.21, p=0.001661), and distant metastasis (SUVmax, 11.89 vs 2.96, p < 0.0001; TBR, 13.32 vs 2.32, p< 0.0001). Despite no statistical comparison was made with [18F]FDG, [18F]AlF-NOTA-FAPI-04 imaging exhibited high levels of sensitivity, specificity, PPV, NPV, and accuracy for detecting postoperative local recurrence, lymph node metastasis, and distant metastasis in patients with gastric cancer.Conclusion[18F]AlF-NOTA-FAPI-04 has demonstrated potential for more accurate tumor re-evaluation in GC, thus enhancing treatment decision-making.

Abstract Deficiency of citrin, the liver-type aspartate-glutamate carrier, arises from biallelic mutations of the gene SLC25A13. Although citrin deficiency (CD) is associated with higher risk of hepatocellular carcinoma (HCC) in adult patients, this association remains inconclusive in pediatric cases. The patient in this paper had been diagnosed to have CD by SLC25A13 analysis at the age 10 months, and then in response to dietary therapy, her prolonged jaundice and marked hepatosplenomegaly resolved gradually. However, she was referred to the hospital once again due to recurrent abdominal distention for 2 weeks at her age 4 years and 9 months, when prominently enlarged liver and spleen were palpated, along with a strikingly elevated serum alpha-fetoprotein (AFP) level of 27605 ng/mL as well as a large mass in the right liver lobe and a suspected tumor thrombus within the portal vein on enhanced computed tomography. After 4 rounds of adjuvant chemotherapy, right hepatic lobectomy and portal venous embolectomy were performed at her age 5 years and 3 months, and metastatic hepatoblastoma was confirmed by histopathological analysis. Afterwards, the patient underwent 5 additional cycles of chemotherapy and her condition remained stable for 7 months after surgery. Unfortunately, hepatoblastoma recurred in the left lobe at the age 5 years and 10 months, which progressed rapidly into liver failure, and led to death at the age 6 years and 1 month. As far as we know, this is the the first case of hepatoblastoma in a patient with CD, raising the possibility of an association between these two conditions.

Abstract The incidence of acute kidney injury (AKI) due to ischemia–reperfusion (IR) injury is increasing. There is no effective treatment for AKI, and because of this clinical challenge, AKI often progresses to chronic kidney disease, which is closely associated with poor patient outcomes and high mortality rates. Small extracellular vesicles from human umbilical cord mesenchymal stem cells (hUCMSC-sEVs) play increasingly vital roles in protecting tissue function from the effects of various harmful stimuli owing to their specific biological features. In this study, we found that miR-100-5p was enriched in hUCMSC-sEVs, and miR-100-5p targeted FKBP5 and inhibited HK-2 cell apoptosis by activating the AKT pathway. HK-2 cells that were exposed to IR injury were cocultured with hUCMSC-sEVs, leading to an increase in miR-100-5p levels, a decrease in FKBP5 levels, and an increase in AKT phosphorylation at Ser 473 (AKT-473 phosphorylation). Notably, these effects were significantly reversed by transfecting hUCMSCs with an miR-100-5p inhibitor. Moreover, miR-100-5p targeted FKBP5, as confirmed by a dual luciferase reporter assay. In vivo, intravenous infusion of hUCMSC-sEVs into mice suffering from IR injury resulted in significant apoptosis inhibition, functional maintenance and renal histological protection, which in turn decreased FKBP5 expression levels. Overall, this study revealed an effect of hUCMSC-sEVs on inhibiting apoptosis; hUCMSC-sEVs reduced renal IR injury by delivering miR-100-5p to HK-2 cells, targeting FKBP5 and thereby promoting AKT-473 phosphorylation to activate the AKT pathway. This study provides novel insights into the role of hUCMSC-sEVs in the treatment of AKI.

Abstract Ferroptosis is a predominant contributor to graft kidney ischemia‒reperfusion injury (IRI), resulting in delayed graft function (DGF). However, much less is known about the early predicting biomarkers and therapeutic targets of DGF, especially aiming at ferroptosis. Here, we propose a precise predicting model for DGF, relying on the Akirin1 level in extracellular vesicles (EVs) derived from recipient urine 48 h after kidney transplant. In addition, we decipher a new molecular mechanism whereby Akirin1 induces ferroptosis by strengthening TP53‐mediated suppression of SLC7A11 during the graft kidney IRI process, that is, Akirin1 activates the EGR1/TP53 axis and inhibits MDM2‐mediated TP53 ubiquitination, accordingly upregulating TP53 in two ways. Meanwhile, we present the first evidence that miR‐136‐5p enriched in EVs secreted by human umbilical cord mesenchymal stem cells (UM‐EVs) confers robust protection against ferroptosis and graft kidney IRI by targeted inhibition of Akirin1 but knockout of miR‐136‐5p in UM sharply mitigates the protection of UM‐EVs. The functional and mechanistic regulation of Akirin1 is further corroborated in an allograft kidney transplant model in wild‐type and Akirin1‐knockout mice. In summary, these findings suggest that Akirin1, which prominently induces ferroptosis, is a pivotal biomarker and target for early diagnosis and treatment of graft kidney IRI and DGF after kidney transplant.

Background In recent years, the research on symptom management in peritoneal dialysis (PD) patients has shifted from a single symptom to symptom clusters and network analysis. This study collected and evaluated unpleasant symptoms in PD patients and explored groups of symptoms that may affect PD patients with a view to higher symptom management.Methods The symptoms of PD patients were measured using the modified Dialysis Symptom Index. The symptom network and node characteristics were assessed by network analysis, and symptom clusters were explored by factor analysis.Results In this study of 602 PD patients (mean age 47.8 ± 16.8 years, 47.34% male), most had less than 2 years of dialysis experience. Five symptom clusters were obtained from factor analysis, which were body symptom cluster, gastrointestinal symptom cluster, mood symptom cluster, sexual disorder symptom cluster, and skin-sleep symptom cluster. Itching and decreased interest in sex may be sentinel symptoms, and being tired or lack of energy and feeling anxious are core symptoms in PD patients.Conclusions This study emphasizes the importance of recognizing symptom clusters in PD patients for better symptom management. Five clusters were identified, with key symptoms including itching, decreased interest in sex, fatigue, and anxiety. Early intervention focused on these symptom clusters in PD patients holds promise for alleviating the burden of symptoms.

Rapeseed cake is an important agricultural waste and it has the potential to improve soil fertility, crop productivity and microbial activities. Nonetheless, the effects of rapeseed cake on microbes of tobacco rhizosphere have not studied yet. Therefore, this study was conducted to investigate the effects of rapeseed cake fertilizer on the inter-root soil microbial community of roasted tobacco. The present study was comprised of different proportions of nitrogen replacement fertilizers such as rapeseed cake fertilizer (N30:30%, N60:60%, N100:100%), and recommended nitrogen application as control. The results of diversity analysis showed that cake fertilizer significantly increased the Ace and Chao indices of soil microbial populations, and Shannon and Invsimpson indices were significantly higher. Furthermore, cake fertilizer also significantly increased the relative abundance of Actinobacteria, Ascomycetes, Intrasporangium, Chaetomium and Mortierella and decreased the relative abundance of Firmicutes, Basidiomycota and Fusicolla. Moreover, cake fertilizer also significantly increased the abundance of stress-tolerant bacteria and animal pathogen-dung saprotroph-endophyte-epiphyte-plant saprotroph-wood saprotroph fungi, and decreased the abundance of their potentially pathogenic and anaerobic bacteria and unknown saprophytic types and plant pathogenic fungi. Further, available phosphorus (AP), soil organic carbon (SOC), microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN) were identified as the main factors affecting the structure of the inter-root soil microbial community of baked tobacco. In conclusion, rapeseed -cake based fertility could be an important strategy to modulate the composition of bacterial and fungal communities in tobacco rhizosphere by improving soil properties, and decreasing the abundance of pathogenic bacteria.

BackgroundIron status has been implicated in gastrointestinal diseases and gut microbiota, however, confounding factors may influence these associations.ObjectiveWe performed Mendelian randomization (MR) to investigate the associations of iron status, including blood iron content, visceral iron content, and iron deficiency anemia with the incidence of 24 gastrointestinal diseases and alterations in gut microbiota.MethodsIndependent genetic instruments linked with iron status were selected using a genome-wide threshold of p = 5 × 10−6 from corresponding genome-wide association studies. Genetic associations related to gastrointestinal diseases and gut microbiota were derived from the UK Biobank, the FinnGen study, and other consortia.ResultsGenetically predicted higher levels of iron and ferritin were associated with a higher risk of liver cancer. Higher levels of transferrin saturation were linked to a decreased risk of celiac disease, but a higher risk of non-alcoholic fatty liver disease (NAFLD) and liver cancer. Higher spleen iron content was linked to a lower risk of pancreatic cancer. Additionally, higher levels of liver iron content were linked to a higher risk of NAFLD and liver cancer. However, certain associations lost their statistical significance upon accounting for the genetically predicted usage of cigarettes and alcohol. Then, higher levels of iron and ferritin were associated with 11 gut microbiota abundance, respectively. In a secondary analysis, higher iron levels were associated with lower diverticular disease risk and higher ferritin levels with increased liver cancer risk. Higher levels of transferrin saturation were proven to increase the risk of NAFLD, alcoholic liver disease, and liver cancer, but decrease the risk of esophageal cancer. MR analysis showed no mediating relationship among iron status, gut microbiota, and gastrointestinal diseases.ConclusionThis study provides evidence suggesting potential causal associations of iron status with gastrointestinal diseases and gut microbiota, especially liver disease.

Lactylation is a novel post-translational modification (PTM) involving proteins that is induced by lactate accumulation. Histone lysine lactylation alters chromatin spatial configuration, influencing gene transcription and regulating the expression of associated genes. This modification plays a crucial role as an epigenetic regulatory factor in the progression of various diseases. Glycolytic reprogramming is one of the most extensively studied forms of metabolic reprogramming, recognized as a key hallmark of cancer cells. It is characterized by an increase in glycolysis and the inhibition of the tricarboxylic acid (TCA) cycle, accompanied by significant lactate production and accumulation. The two processes are closely linked by lactate, which interacts in various physiological and pathological processes. On the one hand, lactylation levels generally correlate positively with the extent of glycolytic reprogramming, being directly influenced by the lactate concentration produced during glycolytic reprogramming. On the other hand, lactylation can also regulate glycolytic pathways by affecting the transcription and structural functions of essential glycolytic enzymes. This review comprehensively outlines the mechanisms of lactylation and glycolytic reprogramming and their interactions in tumor progression, immunity, and inflammation, with the aim of elucidating the relationship between glycolytic reprogramming and lactylation.

The role of processing bodies (P-bodies) in tumorigenesis and tumor progression is not well understood. Here, we showed that the oncogenes YAP/TAZ promote P-body formation in a series of cancer cell lines. Mechanistically, both transcriptional activation of the P-body-related genes SAMD4A, AJUBA, and WTIP and transcriptional suppression of the tumor suppressor gene PNRC1 are involved in enhancing the effects of YAP/TAZ on P-body formation in colorectal cancer (CRC) cells. By reexpression of PNRC1 or knockdown of P-body core genes (DDX6, DCP1A, and LSM14A), we determined that disruption of P-bodies attenuates cell proliferation, cell migration, and tumor growth induced by overexpression of YAP5SA in CRC. Analysis of a pancancer CRISPR screen database (DepMap) revealed co-dependencies between YAP/TEAD and the P-body core genes and correlations between the mRNA levels of SAMD4A, AJUBA, WTIP, PNRC1, and YAP target genes. Our study suggests that the P-body is a new downstream effector of YAP/TAZ, which implies that reexpression of PNRC1 or disruption of P-bodies is a potential therapeutic strategy for tumors with active YAP.

Summary: Alcohol is the most widely used addictive substance, potentially leading to brain damage and genetic abnormalities. Despite its prevalence and associated risks, current treatments have yet to identify effective methods for reducing cravings and preventing relapse. In this study, we find that 4-Hz alternating bilateral sensory stimulation (ABS) effectively reduces ethanol-induced conditioned place preference (CPP) in male mice, while 4-Hz flash light does not exhibit therapeutic effects. Whole-brain c-Fos mapping demonstrates that 4-Hz ABS triggers notable activation in superior colliculus GABAergic neurons (SCGABA). SCGABA forms monosynaptic connections with ventral tegmental area dopaminergic neurons (VTADA), which is implicated in ethanol-induced CPP. Bidirectional chemogenetic manipulation of SC-VTA circuit either replicates or blocks the therapeutic effects of 4-Hz ABS on ethanol-induced CPP. These findings elucidate the role of SC-VTA circuit for alleviating ethanol-related CPP by 4-Hz ABS and point to a non-drug and non-invasive approach that might have potential for treating alcohol use disorder.

Malignant hyperthermia (MH), characterized by severe myoclonus, pyrexia, tachycardia, hypertension, elevated muscle enzymes, and hypercapnia, often occurs in patients with congenital deformities or genetic disorders. Although the reported incidence rate is as low as 1:5000 to 1:100,000, patients with MH exhibit rapid aggravation and an elevated mortality rate. Thus, MH is associated with substantial perioperative risk. Successful treatment of patients with MH largely depends on early diagnosis and timely effective treatment. This clinical report provides a detailed description of a patient with newly diagnosed MH who developed a rapid rise in body temperature, end-tidal carbon dioxide, and heart rate during maxillary osteotomy. After successful rescue, the patient recovered smoothly during the postoperative period, indicating the importance of intraoperative monitoring, early diagnosis, effective treatment, and postoperative monitoring. This case is expected to serve as a reference for future interventions and healthcare practices in managing other patients with MH.

ObjectiveTo explore the value of 18F-fluordeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) semi-quantitative parameters of primary tumor combined with squamous cell carcinoma antigen (SCC-Ag) in predicting lymph node metastasis (LNM) of cervical cancer (FIGO 2018 stage I-II).Materials and MethodsA total of 65 patients with stage I-II cervical cancer underwent 18F-FDG PET/CT were included in our study. Comparing the primary tumor 18F-FDG PET/CT semi-quantitative parameters and SCC-Ag between the LNM group and the non-LNM group. Logistic regression and receiver operating characteristic (ROC) were used to analyze the value of 18F-FDG PET/CT metabolic parameters and SCC-Ag in predicting LNM.ResultsThere were 14 and 51 patients were classified as having LNM and NLNM. The semi-quantitative parameters, including the maximum standardized uptake value (SUVmax), the mean standardized uptake value (SUVmean), the peak standardized uptake value (SUVpeak), the total lesion glycolysis (TLG), the metabolic tumor volume (MTV) of the tumor and SCC-Ag were all significantly higher in LNM than in NLNM (SUVmax, 16.07 ± 7.81 vs 11.19 ± 4.73, SUVmean, 9.16 ± 3.48 vs 6.29 ± 2.52, SUVpeak, 12.70 ± 5.26 vs 7.65 ± 3.26, MTV, 22.77 ± 12.36 vs 7.09 ± 5.21, TLG, 211.01 ± 154.25 vs 43.38 ± 36.17, SCC-Ag, 5.39 ± 4.56 vs 2.13 ± 2.50, all p

Abstract This study focuses on the application of deep learning for transforming semantic point clouds into semantic Building Information Models (BIM) to create a Heritage Digital Twin, centering on Taoping Village, a site of historical and cultural significance in Sichuan, China. Utilizing advanced technologies such as unmanned aerial vehicles and terrestrial laser scanning, we capture detailed point cloud data of the village. A pivotal element of our methodology is the KP-SG neural network, which exhibits outstanding overall performance, particularly excelling in accurately identifying 11 categories. Among those categories, buildings and vegetation, achieves recognition rates of 81% and 83% respectively, and a 2.53% improvement in mIoU compared to KP-FCNN. This accuracy is critical for constructing detailed and accurate semantic BIM models of Taoping Village, facilitating comprehensive architecture and landscape analysis. Additionally, the KP-SG’s superior segmentation capability contributes to the creation of high-fidelity 3D models, enriching virtual reality experiences. We also introduce a digital twin platform that integrates diverse datasets, their semantic information, and visualization tools. This platform is designed to support process automation and decision-making and provide immersive experiences for tourists. Our approach, integrating semantic BIM models and a digital twin platform, marks a significant advancement in preserving and understanding traditional villages like Taoping and demonstrates the transformative potential of deep learning in cultural heritage conservation.

In this paper, a novel approach to generating keys for securing color information by combining discrete wavelet transform (DWT) in conjunction with chaotic functions is presented. This procedure is based on chaotic sequences derived using initial conditions and control parameters of the Logistic map function, which are utilized to decompose in different frequency subbands by applying the DWT. These subbands construct the chaotic encoded directional phase masks (CEDPM) keys. To investigate the potential applications of the CEDPM keys, a nonlinear optical cryptosystem for securing color images has been developed. The color image to be encoded in this study is first separated into three color planes such as red (R), green (G), and blue (B) which are transformed into the phase function using a modified phase retrieval algorithm. Subsequently, for R, G, and B color planes in the encoding procedure, the obtained CEDPM keys are employed, correspondingly. This procedure helps to facilitate the creation of a real-value ciphertext for the color channels R, G, and B. These encrypted images, which correspond to the color channels R, G, and B, are positioned at the horizontal, vertical, and diagonal subbands to combine with low-frequency subbands. After that, inverse wavelet operations are carried out to produce a single covered image. This technique strengthens the system’s security by adding an additional layer. The efficacy of the color encryption approaches is confirmed using computer simulations. The results and analysis show that the proposed scheme performs satisfactorily in protecting color image components compared to the other techniques in this area.

The Doppler Asymmetric Spatial Heterodyne (DASH) spectrometer is a new type of high-resolution spectral measurement instrument that has received widespread attention in re-cent years. However, in previous ground experiments, laser sources were often used so that without exposing the premise and limitations of its high measurement accuracy. Therefore, this article provides a detailed introduction to the measured physical quantity transfer process, de-rives the constraints of DASH spectral velocimetry by discrete sampling, spectral offset analysis, and phase deviation analysis methods. Furthermore, it clarifies the impact of back-end signal processing methods on velocity measurement resolution and the range of algorithm errors. With a “spring model” of interference fringes is proposed, which not only provides mathematical model support for the superiority of using phase shift measurement methods to invert Doppler velocity, but also explains the improvement reason of the “asymmetric” structure relative to the original symmetric spatial heterodyne spectrometer. Meanwhile, based on the simulation values of the set parameters, the measurement resolution improvement factor of the interferometric phase measurement method relative to the spatial frequency measurement method is quantitatively calculated. In the field of astronomical remote sensing, due to stellar spectra lack of the monochromaticity and ideal spectral shape of laser sources used in ground experiments, it is necessary to consider whether the specific characteristics of the incident spectrum meet the amplification effect and effective range on the measured physical quantity transmission chain. It provides a reference for the practical application of the DASH spectral velocimetry technology.

Abstract This study aims to develop a trigger operator based on the Overlap Volume Histogram (OVH) and examined its effectiveness in enhancing plan quality to minimize radiation-induced lung injury in postoperative radiotherapy for breast cancer. This trigger operator was applied for plan re-optimization to the previous Volumetric Modulated Arc Therapy (VMAT) plans of 16 left breast conserving surgery cases. These cases were categorized into a Contiguous Group (CG) and a Separated Group (SG) based on the relative position between the target and the Left-Lung (L-Lung). We investigated the changes in Vx, mean dose, and Normal Tissue Complication Probability (NTCP) values of organs-at-risk (OARs) before and after using the trigger operator. The Pairwise Sample T test was employed to evaluate the differences in indices between the two groups before and after optimizations. The trigger operator effectively initiated plan re-optimization. The values of V5, V10, V20, V30, and V40 of the L-Lung, as well as the mean dose of the heart, all decreased after re-optimization. The Pairwise Sample T test results showed statistically significant differences in the V20, V30, and V40 of the L-Lung in the CG (P

Ecosystems and their services to society have exhibited dramatic degradation all over the world, and landscape planning based on ecosystem service (ES) science is a promising way to mitigate ES loss and improve human well-being. However, ecosystem health, which is crucial for intrinsic ecosystem values, may be overlooked in ES-based landscape planning. Therefore, we proposed a landscape functional zoning method by combining the ES and EH using the Jinan Southern Mountainous Area as a case study. Specifically, we first quantified and mapped six ESs (including regulating, cultural, and provisioning services) and three EH properties (ecosystem vigor, organization, and resilience). Then, we used coupling coordination analysis to determine the coordination of the ES and EH, and adopted bundle analysis to reveal ES-EH compositions. Finally, landscape functional zones were delineated by spatially overlapping the maps of ES-EH bundle types and coupling coordination degrees. The results show that the different ESs and EH properties exhibited uneven spatial distributions. In terms of the ES-EH coupling coordination degree, high values were located along the mountains and aggregated in the eastern part of the study area, and the Caishi town had the highest coupling coordination degree on the town scale. Furthermore, five ES-EH bundle types were identified, i.e., bundles of multifunctionality, subordinate multifunctionality, the highest crop production, ESs and EH properties of medium levels, and ESs and EH properties of low levels. Finally, nine landscape functional zones based on the ES-EH bundle and coupling coordination were identified, and the grids within one zone were homogeneous in terms of their ES-EH compositions and coupling coordination. This study can contribute to the integration of ES and EH into landscape planning and provides a zoning method as a spatial instrument to achieve synergic ES-EH management.

To overcome the incomplete decomposition of vibration signals in traditional motor-bearing fault diagnosis algorithms and improve the ability to characterize fault characteristics and anti-interference, a diagnostic strategy combining dual signal reconstruction and deep learning architecture is proposed. In this study, an improved complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and variational mode decomposition (VMD)-based signal reconstruction method is first introduced to extract features representing motor bearing faults. A feature matrix construction method based on improved information entropy is then proposed to quantify these fault features. Finally, a fault diagnosis algorithm architecture integrating a multi-scale convolutional neural network (MSCNN) with attention mechanisms and a bidirectional long short-term memory network (BiLSTM) is developed. The experimental results for four fault states show that this model can effectively extract fault features from original vibration signals and, compared to other fault diagnosis models, offer high diagnostic accuracy and strong generalization, maintaining high accuracy even under varying speeds and noise interference.

The object detection method serves as the core technology within the unmanned driving perception module, extensively employed for detecting vehicles, pedestrians, traffic signs, and various objects. However, existing object detection methods still encounter three challenges in intricate unmanned driving scenarios: unsatisfactory performance in multi-scale object detection, inadequate accuracy in detecting small objects, and occurrences of false positives and missed detections in densely occluded environments. Therefore, this study proposes an improved object detection method for unmanned driving, leveraging Transformer architecture to address these challenges. First, a multi-scale Transformer feature extraction method integrated with channel attention is used to enhance the network's capability in extracting features across different scales. Second, a training method incorporating Query Denoising with Gaussian decay was employed to enhance the network's proficiency in learning representations of small objects. Third, a hybrid matching method combining Optimal Transport and Hungarian algorithms was used to facilitate the matching process between predicted and actual values, thereby enriching the network with more informative positive sample features. Experimental evaluations conducted on datasets including KITTI demonstrate that the proposed method achieves 3% higher mean Average Precision (mAP) than that of the existing methodologies.

The thermal stability of Al–Cu–Li alloy is critical to the quality and reliability of aerospace structural components. In this work, the microstructure and properties of rapidly solidified Al–Cu–Li alloy (T84) thermally exposed at 150 °C, 175 °C, 200 °C and 225 °C for 500 h were systematically studied. The results show that the T84 alloy exhibits excellent thermal stability with increased strength after thermally exposed at 150 °C, which is attributed to the increased number density of the T1 phase -Al2CuLi. With the further increase of thermal exposure temperature, the size of the T1 phase increases, the number density decreases significantly, and coarse precipitates such as T2 phase-Al6CuLi3 are formed. Meanwhile, the grain boundary precipitates coarsen and the precipitation free zones widen. The strengthening mechanism of the T1 phase transforms from shear mechanism to by-passing mechanism, and its contribution to yield strength decreases dramatically. In addition, the calculated activation energy indicates that coarsening of the T1 phase is controlled by the diffusion of Cu atoms.

Jianfen Liang,1,&ast; Jun Liu,1,&ast; Zhuolin Qiu,1 Guoliang Sun,1 Ping Xiang,2 Ziqing Hei,1 Xiang Li1 1Department of Anesthesiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, People’s Republic of China; 2Department of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou, 510630, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiang Li, Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-Sen University, Number 600, Tianhe Road, Guangzhou, 510630, Guangdong province, People’s Republic of China, Tel +86-20-85253132, Fax +86-20-85252297, Email lixiang27@mail.sysu.edu.cnBackground: Postoperative sore throat is a frequent adverse event after double-lumen endobronchial tube (DLT) intubation. The aim of this study was to investigate whether esketamine gargle has a preventive effect on the incidence of postoperative sore throat in patients undergoing DLT intubation.Methods: This trial included 140 patients undergoing elective thoracic surgery at the third affiliated hospital of Sun Yat-Sen University. Patients were randomly allocated into the following two groups of 70 patients each: the control group, gargling with saline of 30 mL, and the esketamine group, gargling with an esketamine solution of 30 mL (2 mL/50 mg esketamine in 28 mL saline), 5 min prior to anaesthesia induction. The primary outcome was the incidence of sore throat 24 h after surgery. The main secondary outcomes included the incidence of sore throat and hoarseness at 1 h and 48 h after surgery, as well as the intraoperative haemodynamic responses.Results: The incidence of sore throat was significantly higher in the control group (47.1%, 33/70 patients) compared with the esketamine group (12.9%, 9/70 patients) at 24 h after surgery (RD, 0.41; 95% confidence interval, 0.26– 0.57; p < 0.001). Furthermore, the incidence of sore throat at 1 h (p = 0.027), 24 h (p = 0.019), and seventh day (p = 0.031) as well as hoarseness at 1 h (p = 0.027), 24 h (p = 0.019), and 48 h (p = 0.031) after surgery were reduced in the esketamine group. Significant differences were seen in the peak levels of systolic blood pressure, mean arterial blood pressure, and heart rate between the groups during the intubation (p < 0.05). Besides, no patient developed an adverse reaction to esketamine.Conclusion: Preoperative gargling of esketamine can provide an effect against sore throat after DLT intubation without adverse side effects and effectively inhibit sharp elevations in heart rate and blood pressure during double-lumen intubation procedures.Keywords: esketamine, topical application, postoperative sore throat, double-lumen endobronchial tubes, intubation

The detection of electric fields in the environment has great importance for understanding various natural phenomena, environmental monitoring, and ensuring human safety. This review paper provides an overview of the current state-of-the-art technologies utilized for sensing electric fields in the environment, the challenges encountered, and the diverse applications of this sensing technology. The technology is divided into three categories according to the differences in the physical mechanism: the electro-optic effect-based measurement system, the MEMS-based sensor, and the newly reported quantum effect-based sensors. The principles of the underlying methods are comprehensively introduced, and the tentative applications for each type are discussed. Detailed comparisons of the three different techniques are identified and discussed with regard to the instrument, its sensitivity, and bandwidth. Additionally, the challenges faced in environmental electric field sensing, the potential solutions, and future development directions are addressed.

In the concurrent optimization of topology and fiber orientation, the design of smooth fiber helps to maintain the stability of numerical calculation and the compatibility of the manufacturing process. However, the improvement of fiber continuity is often accompanied by a significant decrease in the overall structural stiffness. Aiming at this problem, this paper proposes a topology optimization method for anisotropic materials with smooth fiber orientation. This method improves the smoothness of fiber orientation and reduces stiffness loss by introducing a fiber angle constraint strategy and adaptive filtering technology. The fiber angle constraint strategy integrates the created angle constraint function into the Method of Moving Asymptotes (MMA) to complete the strong constraint of the angle. This strategy quantifies the continuity of the fiber and effectively improves the continuity of the fiber. At the same time, the application of adaptive filtering technology can adjust a reasonable fiber angle distribution on the basis of smoothing fibers, thereby enhancing the stiffness of the overall structure. In addition, this paper shows the complete optimization process and MATLAB code implementation and verifies the effectiveness of the method through a series of numerical examples, that is, on the basis of improving fiber continuity, the stiffness of the whole structure is guaranteed, and then the effective balance between the two is realized.

Abstract Background Self-directed learning (SDL) is one of the most important abilities for medical students in terms of their future clinical medical practice. During the blended teaching process, teachers can design a variety of learning activities to cultivate students’ SDL abilities. This study aimed to assess the differences between the SDL abilities of medical students using blended and traditional didactic teaching. Methods This study included 239 medical students from eight administrative classes. The students were divided into two groups: (1) the experimental group (EG), which included 119 students from four administrative classes, and (2) the control group (CG), which included 120 students from the remaining four classes. From February to July 2022, blended teaching methods were applied to the EG group, and SDL abilities were assessed in comparison to the CG group receiving traditional didactic teaching methods. Results At the end of the semester, significant differences (p

Ethylenediaminetetraacetic acid disodium (EDTA) can form stable complexes with many metals. To improve the leaching rate of gold and the consumption rate of thiosulfate, EDTA and ammonia were combined with copper ions to form a copper-EDTA-ammonia-thiosulfate system. Electrochemical methods were used to study the effect of thiosulfate, copper ion, EDTA, and polarization voltage. The results showed that increasing the concentrations of thiosulfate, copper ions, and EDTA promoted the dissolution of gold, which changed from electrochemical control to diffusion control after adding EDTA. The order of influence was thiosulfate > EDTA > copper ion. The pure gold leaching experiment showed that the dissolution rate of gold in the EDTA-ammonium-copper thiosulfate system was higher than that in the EDTA-copper-thiosulfuric acid system, thus achieving synergistic gold leaching.

Abstract For improving performance of the towed array sonar during the manoeuvring period, a processing framework is proposed based on joint estimation of direction of arrival (DOA) and the array shape. The sparse Bayesian learning (SBL) algorithm is utilised to accurately estimate the DOAs of interesting targets. Meanwhile, the towed array shape is modelled as a parabola array, and the array element positions are estimated using the bow of the parabola. Then, an approximate posterior covariance is implemented to the SBL for a fast converging speed required by practical applications. Besides, the co‐prime array structure is considered for the uniform linear array to further reduce the computational load. The numerical simulations have verified the effectiveness of the fast converging SBL method. MAPEX2000 experimental data processing results have shown that the proposed framework performs well in detection of weak targets during slow turns.

ObjectiveTo establish an LC-MS/MS method based on single hair micro-segmental technique, and verify the detection of 42 psychoactive substances in 0.4 mm hair segments.MethodsEach piece of single hair was cut into 0.4 mm segments and extracted by sonication and the segments were immersed in dithiothreitol-containing extraction medium. Mobile phase A was the aqueous solution containing 20 mmol/L ammonium acetate, 0.1% formic acid, and 5% acetonitrile. Mobile phase B was acetonitrile. An electrospray ionization source in positive ion mode was used for data acquisition in multiple reaction monitoring （MRM） mode.ResultsThe 42 psychoactive substances in hair had a good linear relationship within their respective linear ranges （r>0.99）, the limits of detection were 0.2-10 pg/mm, the limits of quantification were 0.5-20 pg/mm, the intra-day and inter-day precisions were 1.5%-12.7%, the intra-day and inter-day accuracies were 86.5%-109.2%, the recovery rates were 68.1%-98.2%, and the matrix effects were 71.3%-111.7%. The method was applied to hair samples collected from one volunteer at 28 d after a single dose of zolpidem, with zolpidem detected in 5 hairs was 1.08-1.60 cm near the root tip, and the concentration range was 0.62-20.5 pg/mm.ConclusionThe micro-segmental technique of single hair analysis can be applied to the investigation of drug-facilitated sexual assault cases.

Thiosulfate gold leaching is a green gold extraction technology. Here, the effects of thiosulfate, copper ion, ethylenediamine, and polarization voltage on the dissolution of gold in this system were investigated by an electrochemical method. The results showed that the addition of thiosulfate promoted the dissolution of gold, but increasing the thiosulfate concentration had a little additional effect. The addition of ethylenediamine also increased the dissolution of gold, but the dissolution resistance of gold increased after adding ethylenediamine. The dissolution of gold increased, the diffusion resistance increased, and the dispersion effect increased upon increasing the copper ion concentration. The copper–ethylenediamine–thiosulfate system did not display passivation (or only weak passivation) upon increasing the polarization voltage, which indicates that the system was relatively stable. The influence of three factors on the dissolution of gold followed the order thiosulfate > copper ion > ethylenediamine.

Abstract Objectives This study aimed to identify the related risk factors and potential predictors of SARS-CoV-2 RNA negative conversion by describing the dynamics of viral shedding in infected children admitted to two hospitals from Shanghai during the Omicron variant outbreak. Methods This retrospective cohort included laboratory-confirmed cases of SARS-CoV-2 infection from Shanghai between March 28 and May 31, 2022. Clinical characteristics, personal vaccination, and household vaccination rates were collected through electronic health records and telephone interviews. Results A total of 603 paediatric patients confirmed to have COVID-19 were included in this study. Both univariate and multivariate analyses were performed to filter independent factors for the duration to viral RNA negative conversion. Data on the redetection of SARS-CoV-2 in the patients after they showed negative results on the RT‒PCR test (intermittent negative status) were also analysed. The median duration of virus shedding was 12 (interquartile range, IQR: 10–14) days. The severity of clinical outcome, personal vaccination-2doses, household vaccination rates, and abnormal defecation were factors indecently affecting negative conversion of SARS-CoV-2 RNA, suggesting that patients who had abnormal defecation or with more severe conditions would have delayed virological clearance, while patients who previously had 2 doses of vaccination or had higher household vaccination rates would have accelerated virological clearance. Loss of appetite (odds ratio (OR): 5.343; 95% CI: 3.307–8.632) and abnormal defecation (OR: 2.840; 95% CI: 1.736–4.645) were significantly associated with intermittent negative status. Conclusion These findings could provide clues for the early identification of paediatric patients with prolonged viral shedding and could enrich the evidence for the development of prevention and control strategies, especially vaccination policies for children and adolescents.

Objectives: To describe the epidemiological, clinical, and household transmission characteristics of pediatric COVID-19 cases in Shanghai, China. Methods: Pediatric patients with COVID-19 hospitalized in Shanghai from March-May 2022 were enrolled in this retrospective, multicenter cohort study. The symptoms and the risk factors associated with disease severity were analyzed. Results: In total, 2620 cases (age range, 24 days-17 years) were enrolled in this study. Of these, 1011 (38.6%) were asymptomatic, whereas 1415 (54.0%), 190 (7.3%), and 4 (0.2%) patients developed mild, moderate, and severe illnesses, respectively. Household infection rate was negatively correlated with household vaccination coverage. Children aged 0-3 years, those who are unvaccinated, those with underlying diseases, and overweight/obese children had a higher risk of developing moderate to severe disease than children aged 12-17 years, those who were vaccinated, those without any underlying disease, and those with normal weight, respectively (all P

Dynamic monitoring technology of grain inventory quantity has become a new technical demand of grain storage management. On the basis of the current situation of static monitoring technology of grain stock quantity, the difficulties of dynamic monitoring technology were analyzed and put forward. This paper mainly introduced the research progress and application of dynamic inventory quantity monitoring in the development of three-dimensional measuring device, data acquisition and fusion technology of multi- measuring stations of super large grain piles, high precision volume algorithm of irregular grain piles, average density evaluation method of complex heterogeneous grain piles, integrated management software platform and so on. The measurement error of the developed dynamic monitoring system for grain inventory quantity was less than 2%, which meet the application requirements. This new technology provides the technical support for the information management and digital transformation development of grain storage business.

In recent years, with the increasingly serious problem of environmental pollution, people′s awareness of environmental protection has gradually strengthened. In addition to the monitoring of conventional pollutants such as heavy metals and pesticides, the monitoring scope has been extended to emerging contaminants (ECs), which have the potential to cause known or suspected adverse for ecological or human health effects. Recently, a new group of compounds has been added to the anthropological-based pollutants, which are illicit drugs. The main source of these residues is from consumers. After ingestion of the illicit drug dose, active parent compounds and their metabolites are excreted through urine, entering urban wastewater and reaching wastewater treatment plants (WWTPs). These substances may have low removal efficiencies and persist in the treated wastewater. Though the concentrations of emerging contaminants in environment are low, the risks for human health and environment cannot be excluded. Considering the serious threat posed by these substances, our country has clearly put forward the work deployment of “paying attention to the treatment of new pollutants”. Current analytical methods developed for the determination of trace level of compound in wastewater samples usually include pre-concentration steps, the most common being those based on solid-phase extraction (SPE) and online-SPE. However, there are many disadvantages of SPE, such as laborious, time-consuming, cost-consuming and needing specialized instrumentation. Therefore, the convenient and fast methods need to be developed, which can meet the high-sensitivity analysis requirements of wastewater detection. Here, a method of micro-direct-injection ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was developed for the rapid screening of 50 emerging contaminants. The wastewater samples were centrifuged at 13 500 r/min for 3 min, the supernatants were filtered through PTFE filters before injection into the UPLC-MS/MS system. A Waters Acquity UPLC HSS T3 column (100 mm×2.1 mm×1.8 μm) was used, the mobile phases were 5 mmol/L ammonium acetate-0.01% formic acid (A) and acetonitrile (B). The result showed that the limits of detection (LODs) of 50 targets were 0.1-5 ng/L, the extraction recovery was 65.4%-113.9%, and the matrix effect was 64.8%-139.8%. The methamphetamine, codeine, morphine, ketamine, tramadol, O-demethyltramadol and 2-fluoro-deschloroketamine were detected in the real wastewater sample. This method can rapidly and simply screen the trace amounts of a variety of emerging contaminants in wastewater samples.

Abstract Depth maps are acquirable and irreplaceable geometric information that significantly enhances traditional color images. RGB and Depth (RGBD) images have been widely used in various image analysis applications, but they are still very limited due to challenges from different modalities and misalignment between color and depth. In this paper, a Fully Aligned Fusion Network (FAFNet) for RGBD semantic segmentation is presented. To improve cross‐modality fusion, a new RGBD fusion block is proposed, features from color images and depth maps are first fused by an attention cross fusion module and then aligned by a semantic flow. A multi‐layer structure is also designed to hierarchically utilize the RGBD fusion block, which not only eases issues of low resolution and noises for depth maps but also reduces the loss of semantic features in the upsampling process. Quantitative and qualitative evaluations on both the NYU‐Depth V2 and the SUN RGB‐D dataset demonstrate that the FAFNet model outperforms state‐of‐the‐art RGBD semantic segmentation methods.

Abstract Background Metabolic reprogramming is a hallmark of cancer, alteration of nucleotide metabolism of hepatocellular carcinoma (HCC) is not well-understood. MYBL2 regulates cell cycle progression and hepatocarcinogenesis, its role in metabolic regulation remains elusive. Patients and methods Copy number, mRNA and protein level of MYBL2 and IMPDH1 were analyzed in HCC, and correlated with patient survival. Chromatin Immunoprecipitation sequencing (Chip-seq) and Chromatin Immunoprecipitation quantitative polymerase chain reaction (ChIP-qPCR) were used to explore the relationship between MYBL2 and IMPDH1. Metabolomics were used to analyze how MYBL2 affected purine metabolism. The regulating effect of MYBL2 in HCC was further validated in vivo using xenograft models. Results The Results showed that copy-number alterations of MYBL2 occur in about 10% of human HCC. Expression of MYBL2, IMPDH1, or combination of both were significantly upregulated and associated with poor prognosis in HCC. Correlation, ChIP-seq and ChIP-qPCR analysis revealed that MYBL2 activates transcription of IMPDH1, while knock-out of MYBL2 retarded IMPDH1 expression and inhibited proliferation of HCC cells. Metabolomic analysis post knocking-out of MYBL2 demonstrated that it was essential in de novo purine synthesis, especially guanine nucleotides. In vivo analysis using xenograft tumors also revealed MYBL2 regulated purine synthesis by regulating IMPDH1, and thus, influencing tumor progression. Conclusion MYBL2 is a key regulator of purine synthesis and promotes HCC progression by transcriptionally activating IMPDH1, it could be a potential candidate for targeted therapy for HCC.

Chunjing Du,1,&ast; Siyuan Yang,2,&ast; Chuansheng Li,1 Pan Xiang,1 Lin Pu,1 Jingyuan Liu1 1Department of Critical Care Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Laboratory of Infectious Diseases Center, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jingyuan Liu; Lin Pu, Department of Critical Care Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshundong Street, Chaoyang District, Beijing, 100015, People’s Republic of China, Tel +86 108432682; +86 108432966, Email dtyyicu@ccmu.edu.cn; pulin1103@ccmu.edu.cnIntroduction: Information regarding the clinical course of COVID-19 patients with liver injury is very limited, especially in severe and critical patients. The objective of this study was to describe the characteristics and clinical course of liver function in patients admitted with severe and/or critical SARS-CoV-2 infection, as well as explore the risk factors that affect liver function in the enrolled COVID-19 patients.Methods: Information on clinical characteristics of 63 severe and critical patients with confirmed COVID-19 was collected. Data on patients’ demographics, laboratory characteristics, laboratory examination, SARS-CoV-2 RNA results and liver test parameters were acquired and analyzed.Results: The incidence of abnormal aspartate aminotransferase, alanine aminotransferase, and total bilirubin in the critical group was significantly higher than in the severe group (respectively 81.48%, 81.49%, 62.67%, and 45.71%, 63.88%, 22.86%, p < 0.05). The time for liver function parameters to reach their extremes was approximately 2– 3 weeks after admission. The independent factors associated with liver injury were patients with invasive ventilators, decreased percentages of neutrophils, lymphocytes and monocytes, and sequential organ failure assessment (SOFA) score ≥ 2 (p < 0.05).Conclusion: Abnormal liver tests are commonly observed in severe and critical patients with COVID-19. Severe patients infected by SARS-CoV-2 should be closely observed and monitored the liver function parameters, particularly when they present with independent risk factors for liver injury.Keywords: abnormal liver tests, coronavirus disease 2019, COVID-19, liver injury, pneumonia, severe acute respiratory syndrome coronavirus 2, SARS-CoV-2

ObjectivesUstekinumab (UST) optimization strategies, including shortening intervals and intravenous reinduction, should be administered to patients with partial or loss of respond. Evidence comparing these types of optimization treatments is limited. We evaluated the efficacy and safety of weight-based UST intravenous reinduction in patients with refractory Crohn’s disease (CD).MethodsThis was a single-center retrospective observational study. Optimization strategies were designed for patients showing partial or loss of response to standardized UST therapy. Clinical, biochemical, and endoscopic response and remission rate were determined by Crohn’s disease activity index (CDAI), C-reactive protein (CRP) levels, and SES-CD evaluation. UST trough concentrations were detected and adverse events were recorded.ResultsA total of 128 patients receiving UST optimization therapies were included, with 105 patients administered shortening intervals of q8w or q4w, and 23 receiving intravenous reinduction followed by subcutaneous q8w or q4w. The follow-up duration for the shortening interval and reinduction cohorts were 15.0 (10.0, 31.0) and 23.0 (13.0, 70.0) weeks, respectively. A significant CDAI delta variation pre-and post-treatment could be found between groups [17.0 (−4.4, 65.9) vs. 69.0(10.7, 151.0), p = 0.013]. the trough concentration of UST increased [2.5 (1.3, 5.3) vs. 1.1 (0.5, 2.3), p = 0.001] after intravenous reinduction. Clinical and endoscopic remission were achieved in 69.6 and 31.8% of patients in the intravenous reinduction cohort, and 62.9 and 22.2% of patients in the shortening interval cohort, respectively. No significant difference was found between groups regarding safety.ConclusionIntravenous reinduction brought about favorable recapture of clinical and endoscopic remission, and should have significant priority over the strategy of merely shortening drug intervals, which should be launched before switching to other biologics targeting different inflammatory pathways.Clinical Trial Registration: identifier NCT04923100. https://classic.clinicaltrials.gov/ct2/show/NCT04923100?id=04923100&draw=2&rank=1

The orthogonal basis functions (OBFs) method is a prevailing choice for the detection of undersurface magnetic anomaly targets. However, it requires the detecting platform or target to move uniformly along a straight path. To circumvent the restrictions, a new adaptive basis functions (ABFs) approach is proposed in this article. It permits the detection platform to search for a possible target at different speeds along any course. The ABFs are constructed using the real-time data of the onboard triaxial fluxgate, GPS module, and attitude gyro. Based on the pseudo-energy of an apparent target signal, the constant false alarm rate (CFAR) method is employed to judge whether a target is present. Moreover, by defining the pixel as a relative possibility for a target at a geographic location, a magnetic anomaly target imaging scheme is introduced by displaying the pixels onto the searching area. On-site experimental data are utilized to demonstrate the proposed approach. Compared with the traditional OBFs method, the present ABFs approach can substantially improve the detection possibility and reduce false alarms.