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Abstract Background Prenatal ultrasound is the preferred modality for diagnosing fetal congenital heart disease. Given issues of physician proficiency and hospital distribution, we propose a dynamic sequential cross-sectional scanning (SCS) to explore the feasibility of cardiac screening by sonographers with less than 5 years of experience in ultrasound. Materials and methods Twenty residents were randomly divided into two groups, receiving training in the American Institute of Ultrasound in Medicine (AIUM) fetal echocardiography and the SCS method. According to the needs of training, the professional staff developed the theoretical knowledge question bank, the CHD ultrasonic video disease bank, and the assessment scale. Trainees completed the pre-training examination, theory and skill operation training, and post-training assessment. For the two groups, the theoretical knowledge, skill operation and disease diagnosis were analyzed statistically before and after training. Results After training, the trainees in both groups had significantly improved knowledge and diagnostic abilities, their diagnostic thinking about CHD was clear, and they could identify major or even all structural abnormalities and make a definite diagnosis. In terms of skill operation, both groups could complete all required scanning within the specified time. The scanning time of the SCS group was significantly lower than that of the AIUM group, and the effect of the receptor site in the AIUM group was significantly higher than that in the SCS group. Conclusion SCS can be used as a new rapid fetal cardiac scanning method and try to popularize among echocardiographer.

Fuchsia standishii J. Harrison, 1840, a perennial shrub, is renowned for its vividly colored and uniquely shaped blooms, which have an extended flowering season. Commonly cultivated as an ornamental potted plant, it is utilized in traditional Chinese medicine. In this study, we successfully sequenced and assembled the complete chloroplast genome of F. standishii using high-throughput Illumina sequencing technology. The assembled chloroplast genome displays a typical quadripartite structure, with a total length of 156,391 bp. It consists of a pair of inverted repeat regions (IRs), each measuring 25,069 bp, separated by a large single-copy region (LSC) of 87,754 bp and a small single-copy region (SSC) of 18,499 bp. The overall GC content of the genome is 37.60%. The genome includes a total of 129 genes, comprising 84 protein-coding genes, 37 tRNA genes, and eight rRNA genes. Phylogenetic analysis of 17 complete chloroplast genomes revealed that F. standishii forms a monophyletic group with the entire Circaea. This study provides a molecular foundation for future phylogenetic research on Fuchsia.

Garcinia esculenta Y. H. Li. 1981 (Clusiaceae) is an endemic tree species in China, primarily found in western and northwestern Yunnan Province. In this research, the complete chloroplast genome of G. esculenta was sequenced using the Illumina NovaSeq6000 platform. The result showed that the length of the complete chloroplast genome was 155,853 bp, which was composed of a large single-copy region (LSC) of 84,534 bp, a small single-copy region (SSC) of 17,175 bp, and a pair of inverted repeat (IR) regions of 27,072 bp. The overall GC content was 36.1%. The complete chloroplast genome encompassed 128 genes, comprising 83 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. Phylogenetic analysis of the complete chloroplast genome sequences of 22 species revealed that G. esculenta is most closely related to G. oblongifolia.

Abstract Background Extending the dosing interval of a primary series of mRNA COVID-19 vaccination has been employed to reduce myocarditis risk in adolescents, but previous evaluation of impact on vaccine effectiveness (VE) is limited to risk after second dose. Methods We quantified the impact of the dosing interval based on case notifications and vaccination uptake in Hong Kong from January to April 2022, based on calendar-time proportional hazards models and matching approaches. Results We estimated that the hazard ratio (HR) and odds ratio (OR) of infections after the second dose for extended (28 days or more) versus regular (21–27 days) dosing intervals ranged from 0.86 to 0.99 from calendar-time proportional hazards models, and from 0.85 to 0.87 from matching approaches, respectively. Adolescents in the extended dosing groups (including those who did not receive a second dose in the study period) had a higher hazard of infection than those with a regular dosing interval during the intra-dose period (HR 1.66; 95% CI 1.07, 2.59; p = 0.02) after the first dose. Conclusions Implementing an extended dosing interval should consider multiple factors including the degree of myocarditis risk, the degree of protection afforded by each dose, and the extra protection achievable using an extended dosing interval.

Abstract With the rapid development of the digital economy, its environmental impact, particularly on carbon dioxide emissions in resource-based cities, has emerged as a vital research topic. Resource-based cities, often central to traditional industries, are confronted with the dual challenges of environmental pollution and economic transformation. This study employs empirical analysis to examine the influence of the digital economy on carbon dioxide emissions in these cities. The findings reveal that the digital economy significantly reduces carbon dioxide emissions, with this impact being more pronounced in the early stages of digital economic development and gradually diminishing thereafter. In the mechanism analysis, we found that the digital economy can reduce carbon dioxide emissions in resource-based cities by raising public concern about the environment. Moreover, the study highlights significant variations in carbon reduction effects among different types of resource-based cities, noting that stronger environmental regulations further enhance these effects. These insights not only provide a new theoretical perspective but also offer practical guidance for policymakers in promoting sustainable development within the digital economy.

Abstract Stomatal movement is vital for plants to exchange gases and adaption to terrestrial habitats, which is regulated by environmental and phytohormonal signals. Here, we demonstrate that hydrogen peroxide (H2O2) is required for light-induced stomatal opening. H2O2 accumulates specifically in guard cells even when plants are under unstressed conditions. Reducing H2O2 content through chemical treatments or genetic manipulations results in impaired stomatal opening in response to light. This phenomenon is observed across different plant species, including lycopodium, fern, and monocotyledonous wheat. Additionally, we show that H2O2 induces the nuclear localization of KIN10 protein, the catalytic subunit of plant energy sensor SnRK1. The nuclear-localized KIN10 interacts with and phosphorylates the bZIP transcription factor bZIP30, leading to the formation of a heterodimer between bZIP30 and BRASSINAZOLE-RESISTANT1 (BZR1), the master regulator of brassinosteroid signaling. This heterodimer complex activates the expression of amylase, which enables guard cell starch degradation and promotes stomatal opening. Overall, these findings suggest that H2O2 plays a critical role in light-induced stomatal opening across different plant species.

Three-dimensional (3D) geological models can visually present various underground geological body forms, geological structures, geological hazards, which is of great significance for urban spatial planning and urban geological hazard prevention and control. To overcome technical difficulties such as poor accuracy, poor aesthetics and the difficulty to modify and improve the model afterward, this paper proposes a 3D modeling technology for urban geology with multiple complex geological structures based on multi-source heterogeneous data with the common constraints of geological knowledge and geological laws. This technique can utilize various modeling data, such as DEM data, geological profiles, drillhole data, geophysical interpretation data and structure outline maps. Under the common constraints of geological prior knowledge and geological laws, the block modeling technique is used to complete the construction of 3D urban geological models under complex geological conditions. Taking the construction of 3D geological model in Chengdu as an example, this paper focuses on the theory and algorithm of 3D modeling of urban geology, the geological background of the demonstration area, the preparation and processing of 3D modeling data, and the research and demonstration application of 3D modeling technology for urban geology.

Lactate significantly impacts immune cell function in sepsis and septic shock, transcending its traditional view as just a metabolic byproduct. This review summarizes the role of lactate as a biomarker and its influence on immune cell dynamics, emphasizing its critical role in modulating immune responses during sepsis. Mechanistically, key lactate transporters like MCT1, MCT4, and the receptor GPR81 are crucial in mediating these effects. HIF-1α also plays a significant role in lactate-driven immune modulation. Additionally, lactate affects immune cell function through post-translational modifications such as lactylation, acetylation, and phosphorylation, which alter enzyme activities and protein functions. These interactions between lactate and immune cells are central to understanding sepsis-associated immune dysregulation, offering insights that can guide future research and improve therapeutic strategies to enhance patient outcomes.

BackgroundArtificial intelligence (AI) has increasingly been applied to computed tomography angiography (CTA) images to aid in the assessment of atherosclerotic plaque. Our aim was to explore the diagnostic accuracy of AI-assisted CTA for plaque diagnosis and classification through a systematic review and meta-analysis.MethodsA systematic literature review was performed by searching PubMed, EMBASE, and the Cochrane Library according to PRISMA guidelines. Original studies evaluating the diagnostic accuracy of radiomics, machine-learning, or deep-learning techniques applied to CTA images for detecting stenosis, calcification, or plaque vulnerability were included. The quality and risk of bias of the included studies were evaluated using the QUADAS-2 tool. The meta-analysis was conducted using STATA software (version 17.0) to pool sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) to determine the overall diagnostic performance.ResultsA total of 11 studies comprising 1,484 patients were included. There was low risk of bias and substantial heterogeneity. The overall pooled AUROC for atherosclerotic plaque assessment was 0.96 [95% confidence interval (CI) 0.94–0.97] across 21 trials. Of these, for ≥50% stenosis detection, the AUROC was 0.95 (95% CI 0.93–0.96) in five studies. For identifying ≥70% stenosis, the AUROC was 0.96 (95% CI 0.94–0.97) in six studies. For calcium detection, the AUROC was 0.92 (95% CI 0.90–0.94) in six studies.ConclusionOur meta-analysis demonstrates that AI-assisted CTA has high diagnostic accuracy for detecting stenosis and characterizing plaque composition, with optimal performance in detecting ≥70% stenosis.Systematic Review Registrationhttps://www.crd.york.ac.uk/, PROSPERO, identifier (CRD42023431410).

Abstract This mediation analysis aimed to investigate the associations among areal bone mineral density, mobility-related brain atrophy, and specific gait patterns. A total of 595 participants from the Taizhou Imaging Study, who underwent both gait and bone mineral density measurements, were included in this cross-sectional analysis. We used a wearable gait tracking device to collect quantitative gait parameters and then summarized them into independent gait domains with factor analysis. Bone mineral density was measured in the lumbar spine, femoral neck, and total hip using dual-energy X-ray absorptiometry. Magnetic resonance images were obtained on a 3.0-Tesla scanner, and the volumes of brain regions related to mobility were computed using FreeSurfer. Lower bone mineral density was found to be associated with higher gait variability, especially at the site of the lumbar spine (β = 0.174, FDR = 0.001). Besides, higher gait variability was correlated with mobility-related brain atrophy, like the primary motor cortex (β = 0.147, FDR = 0.006), sensorimotor cortex (β = 0.153, FDR = 0.006), and entorhinal cortex (β = 0.106, FDR = 0.043). Bidirectional mediation analysis revealed that regional brain atrophy contributed to higher gait variability through the low lumbar spine bone mineral density (for the primary motor cortex, P = 0.018; for the sensorimotor cortex, P = 0.010) and the low lumbar spine bone mineral density contributed to higher gait variability through the primary motor and sensorimotor cortices (P = 0.026 and 0.010, respectively).

Abstract Purpose We aimed to compare the therapeutic effect of radiotherapy (RT) plus systemic therapy (ST) with RT alone in patients with simple brain metastasis (BM) after first-line treatment of limited-stage small cell lung cancer (LS-SCLC). Methods The patients were treated at a single center from January 2011 to January 2022. BM only without metastases to other organs was defined as simple BM. The eligible patients were divided into RT alone (monotherapy arm) and RT plus ST (combined therapy arm). Univariate and multivariate Cox proportional hazards analyses were used to examine factors associated with increased risk of extracranial progression. After 1:1 propensity score matching analysis, two groups were compared for extracranial progression-free survival (ePFS), PFS, overall survival (OS), and intracranial PFS (iPFS). Results 133 patients were identified and 100 were analyzed (monotherapy arm: n = 50, combined therapy arm: n = 50). The ePFS of the combined therapy was significantly longer than that of the monotherapy, with a median ePFS of 13.2 months (95% CI, 6.6–19.8) in combined therapy and 8.2 months (95% CI, 5.7–10.7) in monotherapy (P = 0.04). There were no statistically significant differences in PFS (P = 0.057), OS (P = 0.309), or iPFS (P = 0.448). Multifactorial analysis showed that combined therapy was independently associated with better ePFS compared with monotherapy (HR = 0.617, P = 0.034); more than 5 BMs were associated with worse ePFS compared with 1–5 BMs (HR = 1.808, P = 0.012). Conclusions Compared with RT alone, combined therapy improves ePFS in patients with simple BM after first-line treatment of LS-SCLC. Combined therapy and 1–5 BMs reduce the risk of extracranial recurrence.

Abstract Background Gait disturbance is common in older adults with vascular diseases. However, how carotid atherosclerosis affects gait remains poorly understood. The objectives were to investigate the associations between carotid intima-media thickness and specific gait performances and explore the potential role of brain structure in mediating these associations. Methods A cross-sectional analysis of data from the Taizhou Imaging Study was conducted, including 707 individuals who underwent both gait and carotid ultrasound examinations. Gait assessments include the Timed-Up-and-Go test, the Tinetti test, and quantitative gait assessment using a wearable device. Quantitative parameters were summarized into independent gait domains with factor analysis. Magnetic resonance images were obtained on a 3.0-Tesla scanner, and the volumes of fifteen brain regions related to motor function (primary motor, sensorimotor), visuospatial attention (inferior posterior parietal lobules, superior posterior parietal lobules), executive control function (dorsolateral prefrontal cortex, anterior cingulate), memory (hippocampus, entorhinal cortex), motor imagery (precuneus, parahippocampus, posterior cingulated cortex), and balance (basal ganglia: pallidum, putamen, caudate, thalamus) were computed using FreeSurfer and the Desikan-Killiany atlas. Mediation analysis was conducted with carotid intima-media thickness as the predictor and mobility-related brain regions as mediators. Results Carotid intima-media thickness was found to be associated with the Timed-Up-and-Go performance (β = 0.129, p = 0.010) as well as gait performances related to pace (β=-0.213, p

Shaanxi province is rich in coal resources and is one of the main coal-producing provinces in China, with a coal production of 746 million tons in 2022. Due to the obvious differences in geological and hydrogeological conditions in the coal mining areas of the province, there are various types of water disasters in its coal mines. With the increase of coal mining intensity in recent years, the frequency of water disasters increases significantly, and the situation of water prevention and control is challenging. On the basis of the overall analysis of the hydrogeological conditions in the coal mining areas of Shaanxi province, combined with the types of water disasters revealed in the mining process of various mining areas in the province, the regional distribution of all kinds of water disas-ters is systematically summarized, and the formation mechanism and characteristics of typical water disasters are discussed. Also, the corresponding prevention and control technology and progress are put forward. The results show that ① the main coal producing areas in Shaanxi province are divided into northern Shaanxi, Huanglong and Weibei. The Jurassic coalfield in northern Shaanxi is mainly affected by the water disaster of roof's loose sand layer, the water disaster of thick sandstone, water and sand burst disaster, and the burnt rock flood exists in some coal mines. The Huanglong coalfield is mainly threatened by roof super-thick sandstone water, separated layer water, mud and sand burst disaster or hidden danger. The Carboniferous-Permian coalfields in northern Shaanxi and Weibei are mainly threatened by the water damage of Ordovician limestone on the coal seam floor. ② The hidden danger of roof flood in the Jurassic coalfield in northern Shaanxi is mainly formed by the disturbance of roof aquifer by mining water diversion fracture zone, which can form a continuous large flow water gushing through sandstone aquifer or loose sand layer, and the water filling intensity is large in some areas. Roof flood occurs when the amount of water exceeds the capacity of the drainage system in a short time, and it can be transformed into water and sand burst disaster when the collapse zone in the thin bedrock area directly leads to the loose sand layer. When the water-conducting fracture zone affects the water-rich area of burnt rock, it can form a flood of burnt rock with large instantaneous water volume and continuous flood. The super-thick sandstone aquifer on the roof of the Huanglong coalfield is swept by the mining water-conducting fracture zone to form a high-intensity continuous water gushing and may form roof flood. When the thickness of the lower aquifer is large, the separated layer water burst disaster may be formed. When the roof strata near the coal seam is soft and easy to collapse, it can be transformed into mud and sand burst disaster. In the Carboniferous-Permian coalfield and the Weibei coalfield in northern Shaanxi, when structures such as coal seam mining floor disturbance failure zones or faults lead to the Ordovician limestone aquifers, they will cause extremely serious floor water inrush disasters, which are characterized by strong sudden occurrence and large instantaneous water volume. ③ The roof water disaster treatment technology in each region mainly includes drilling hole drainage, grouting treatment, mining parameter control and so on, and the floor water damage is mainly treated by regional grouting reinforcement and plugging. Burnt rock water disaster is mainly treated by the combination of curtain grouting and drilling exploration.

This study explores the impact of ESG ratings on corporate performance, focusing on achieving sustainable development and corporate sustainability through innovation within the context of high-quality global economic growth. In recent years, ESG ratings have garnered significant attention in the financial sector, influencing corporate strategy and performance management. While some argue that ESG activities might detract from profitability, others highlight that firms with strong ESG performance can access low-cost capital, thereby enhancing overall performance. Using a sample of China’s A-share listed companies from 2009 to 2021, this research examines the influence and mechanisms of ESG ratings on corporate performance. The findings indicate a significant positive relationship between ESG ratings and corporate performance, which remains robust after rigorous testing. Mediation analysis reveals that ESG ratings improve corporate performance by alleviating financing constraints and enhancing corporate reputation. Furthermore, the performance-enhancing effects of ESG ratings are more pronounced in firms with robust internal controls and private enterprises. This research provides empirical evidence to support stronger ESG investment and the refinement of the ESG rating system.

Background: Poor gait performance results in more fall incidents among people with chronic kidney disease (CKD). It is unknown what specific quantitative gait markers contribute to high fall risk in CKD and the size of their mediation effects. Methods: We included 634 participants from the Taizhou Imaging Study who had complete gait and laboratory data. Quantitative gait assessment was conducted with a wearable insole-like device. Factor analysis was utilized to summarize fifteen highly correlated individual parameters into five independent gait domains. Prevalent CKD was defined as an estimated glomerular filtration rate (eGFR)

The spatial distribution and source analysis of heavy metals in soil are of great significance for the risk assessment and control of heavy metal pollution. Herein, a total of 87 topsoil samples (0–30 cm) were collected in the areas adjacent to a non-ferrous metal slag field of Gejiu City, Yunnan Province. The typical heavy metal concentrations, available phosphorus, available potassium, ammonium nitrogen, nitrate nitrogen, and pH in each soil sample were determined. Based on the above basic data, distribution and origins of heavy metals was analyzed. The results indicated that the mean contents of Pb, As, Cu, Zn, Ni and Cr in the topsoil of the study site were 247.82, 204.36, 104.83, 411.38, 29.73 and 67.59 mg kg-1, respectively. Exception of the Ni element, the contents of the remaining five heavy metals surpassed their respective background levels in study site. Especially, As element (with the highest accumulation effect) is 11.1l times of the background level, and the remaining four elements are 1.04–6.10 times of the background level in Yunnan. Single factor pollution index showed that the pollution degree of Pb, Cu and Zn was light, and the accumulation of As was a great threat to soil quality. Furthermore, the percentages of sites at mild pollution, moderate pollution and heavy pollution levels were 16.09%, 26.09% and 63.22%, respectively. Additionally, The order of potential ecological hazard degree of soil in the survey area was As > Pb > Cu = Ni > Zn = Cr. The spatial dispersion of heavy metals within the study region is impacted by both natural phenomena and human activities. The areas with severe pollution were the mining area in the northwest and planting sites in the east, middle and south of the study area. The main contribution sources of Ni were the mixed sources of natural parent material and industrial activities. The heavy metal element largely contributed by industrial activities and transportation is Pb. The main sources of metals As, Cu and Zn are the integrated sources of agricultural and industrial activities. The main source of Cr is natural source. Therefore, these useful results can guide the heavy metal pollution control and restoration of study site and this research work can also be used to other similar metal slag field and its affected area.

Abstract Objective This study aimed to link intracellular adenosine triphosphate content in CD4+ T lymphocytes (CD4+ iATP) with sepsis patient mortality, seeking a new predictive biomarker for outcomes and enhanced management. Methods 61 sepsis patients admitted to the Intensive Care Unit between October 2021 and November 2022 were enrolled. iATP levels were gauged using whole blood CD4+ T cells stimulated with mitogen PHA‐L. Based on CD4+ iATP levels (

BackgroundSlow flow/no-reflow (SF-NR) during percutaneous coronary intervention (PCI) is associated with poor prognosis of patients with acute myocardial infarction (AMI). Currently, effective treatment is not available for SF-NR. Electroacupuncture (EA) has shown significant efficacy as an adjuvant therapy for many cardiovascular diseases by improving microcirculation and reducing ischemia-reperfusion injury. However, its effects on SF-NR in the AMI patients during PCI are not clear. This pilot trial aims to determine the efficacy of intraoperative EA in alleviating SF-NR in AMI patients undergoing PCI.MethodsThis prospective, single-center, randomized controlled, pilot trial will recruit 60 AMI patients scheduled for PCI at the Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, China. The patients will be randomized in a 1:1 ratio into the EA or the control groups. Patients in the control group will undergo standard PCI. Patients in the EA group will undergo intraoperative electroacupuncture while undergoing standard PCI. Incidence of SF-NR is the primary outcome for this study. This study will also assess secondary outcomes including cardiac biomarkers, inflammatory biomarkers, pain and anxiety scores, electrocardiography parameters, traditional Chinese medicine (TCM) symptom score, and major adverse cardiovascular and cerebrovascular events (MACCE). All the included patients will undergo laboratory tests including routine blood tests, levels of electrolytes, as well as liver and renal function tests. Patients will be followed up for 1 month after the procedure.DiscussionThis pilot trial will provide evidence for the potential benefits of intraoperative EA in improving microvascular perfusion and preventing or alleviating SF-NR during PCI in patients with AMI. If proven effective, intraoperative EA will provide a new and effective strategy against SF-NR and provide evidence for subsequent multicenter trials.Clinical Trial RegistrationClinicalTrials.gov, identifier (ChiCTR2300072265). Registered on 8 June 2023.

Abstract Previous studies indicate an increased carditis risk among adolescents following the two-dose messenger RNA COVID-19 vaccine. Several jurisdictions have extended the interdose interval between the first and second doses to reduce the risk. However, the effectiveness of such an extension policy remains inconclusive. Using the territory-wide vaccine record-linked electronic health records in Hong Kong, we conducted a nested case–control study from February 23, 2021 to August 15, 2022. Adolescents aged between 12 and 17 who received two-dose BNT162b2 were included for comparing risks between standard interdose interval (21–27 days) versus extended interdose interval ( ≥ 56 days). The carditis cumulative incidence within 28 days following the second dose was calculated. The adjusted odds ratio was estimated from multivariable conditional logistic regression. We identified 49 adolescents with newly diagnosed carditis within 28 days following the second dose. The crude cumulative incidence is 37.41 [95% confidence interval (CI): 27.68–49.46] per million vaccinated adolescents. Compared to the standard interdose interval group, adolescents with an extended interval had a significantly lower risk of carditis [adjusted odds ratio (aOR) 0.34 (95% CI: 0.16–0.73)]. Sensitivity analysis of carditis occurring within 14 days following the second dose yielded a similar estimate [aOR 0.30 (95% CI: 0.13–0.73)]. Extending the interdose interval of the BNT162b2 vaccine from 21 to 27 days to 56 days or longer is associated with 66% lower risk of incident carditis among adolescents. Our findings contribute towards an evidence-based vaccination strategy for a vulnerable population and potentially informs product label updates.

Phase-Only Holograms (POHs) are widely embraced for their advantages, including high quality reconstruction and high diffraction efficiency. However, when generating POHs, the utilization of solely random or quadratic phase often leads to speckle noise and ringing artifacts in reconstructed image. To tackle this issue, this paper introduces a non-iterative Optimized Hybrid Phase-only Holograms (OHPOHs) algorithm designed for Fresnel Lensless Holographic Projection system. The proposed algorithm consists of three steps. Firstly, selected quadratic phase and random phase are combined with an appropriate weight coefficient to create a hybrid phase. Next, the hybrid phase is iteratively optimized. Lastly, a complex amplitude is formed by combining the optimized hybrid phase and arbitrary target image, resulting in the generation of POHs through a single-step calculation. Additionally, this paper explores the process of selecting an appropriate weight coefficient for the phase blending procedure. Numerical experiments demonstrate that the non-iterative OHPOHs achieves superior reconstruction of high-quality images by effectively suppressing speckle noise and ringing artifacts. Moreover, this improvement is achieved while maintaining computation efficiency comparable to that of the Optimized Random Phase (ORAP) algorithm and the Hybrid Phase-Only Hologram (HPOHs) algorithm.

Abstract Objective To explore the efficacy of serplulimab plus chemotherapy in esophageal squamous cell carcinoma (ESCC) patients with liver metastases. Methods A post hoc exploratory analysis of ASTRUM‐007 study was performed, focusing on the association between the liver metastases status and the clinical outcomes. A systematic literature search of electronic databases was conducted to identify eligible randomized controlled trials for the meta‐analysis. Study‐level pooled analyses of hazard ratios (HRs) for PFS according to liver metastases were performed. Results The post hoc analysis of ASTRUM‐007 showed that although patients with liver metastases had a worse prognosis comparing with the non‐liver metastases patients in both treatment arms (serplulimab plus chemotherapy arm: median PFS, 5.7 vs. 6.6 months, HR 1.57 [95% CI, 1.15–2.13]; median OS, 13.7 vs. 15.3 months, HR 1.48 [95% CI, 1.09–1.98]; placebo plus chemotherapy arm: median PFS, 4.3 vs. 5.5 months, HR 1.58 [95% CI, 1.01–2.39]; median OS, 10.3 vs. 11.2 months, HR 1.32 [95% CI, 0.84–2.00]), OS and PFS benefits derived from serplulimab plus chemotherapy versus placebo plus chemotherapy in this study were observed in both patients with liver metastases (HR of PFS: 0.60; 95% CI, 0.37–0.97; HR of OS: 0.68; 95% CI, 0.43–1.11) and the non‐liver metastases patients (HR of PFS: 0.62; 95% CI, 0.49–0.80; HR of OS: 0.69; 95% CI, 0.55–0.87) with similar magnitude. Three randomized controlled trials were included in the meta‐analysis. Pooled HRs demonstrated that the addition of anti‐PD‐1 antibodies significantly improved PFS compared to chemotherapy alone regardless of liver metastases status. Conclusions This study reveals that the presence of liver metastases is a poor prognostic factor but does not affect the improvements in both PFS and OS brought by adding PD‐1 blockade to chemotherapy in ESCC patients. Predictive biomarkers for survival in these patients warrant further investigation.

As the importance of global climate change and sustainable development issues increases, the enhancement of urban green innovation capabilities is particularly crucial since cities are the main source of energy consumption and carbon emissions. This study focuses on China’s New Energy Demonstration City policy to explore how it influences urban green innovation capabilities. By employing a quasi-natural experimental method, combined with data from 282 Chinese cities from 2007 to 2021, this paper provides an in-depth analysis of the impact of the New Energy Demonstration City policy on urban green innovation capabilities. It was found that the policy significantly improves the cities’ green innovation capabilities, and this conclusion remains valid after robustness checks. The study also reveals that technological investment and public environmental awareness are two critical mechanisms through which the New Energy Demonstration City policy affects urban green innovation capabilities. Furthermore, this policy has been found to significantly enhance the green innovation capabilities of neighboring cities through spatial spillover effects. The study also examines the interaction between the national-level Big Data Comprehensive Experimental Zone policy and the New Energy Demonstration City policy, discovering that the pilot policy of the national-level Big Data Comprehensive Experimental Zone has to some extent promoted the effectiveness of the New Energy Demonstration City policy in driving urban green transformation. This research provides a new perspective for understanding the dynamics of urban green innovation and points the way for future research and policymaking.

Abstract Background Limited studies explored the relationship between lymphocyte recovery after definitive concurrent chemoradiotherapy (dCCRT) and prognosis in esophageal squamous cell carcinoma (ESCC). Methods ESCC patients with obtainable absolute lymphocyte counts (ALCs) at 6 months after dCCRT were screened from prospective trials. Patients were divided into groups according to the grade of ALC nadir during radiotherapy (G4 or G1–3) and lymphocyte recovery status, which was assessed by lymphocyte recovery index (LRI), calculated as the ratio of post- to pre-treatment lymphocyte counts. Cox analysis was conducted to evaluate the prognostic significance of lymphocyte recovery status. Irradiated relative volumes of the bone marrow (BM) and spleen and effective dose to immune cells (EDIC) were collected to identify their impacts on lymphocyte recovery status by logistic analysis. Results 232 patients were enrolled. In 69 patients with G4 ALC nadir (group A and B) and 163 patients with G1–3 ALC nadir (group C and D) during dCCRT, 27 (group A) and 67 (group C) patients showed an insufficient level of lymphocyte recovery (LRI

A method was established for the simultaneous determination of 3-methoxytyramine and adrenaline in dairy products by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) compled with isotope dilution. Sample was extracted by perchloric acid solution, cleaned by weak cationic solid phase extraction column. The analyte was separated by ACQUITY UPLC BEH C18 (100 mm×2.1 mm, 1.7 μm) column and agradient elution of mobile phase with 0.1% formic acid aqueous solution-methanol. The detection was achieved by HPLC-MS/MS with electrospray ion source and positive ion scanning mode as well as multiple reaction monitoring (MRM) mode. The quantification was accomplished by the internal standard method. It was demonstrated that the linear relationships of 3-methoxytyramine and adrenaline were good in the range of 0.5~12.0 ng/mL and 50~1200 ng/mL (r>0.99), respectively. The detection limits and the limit of quantification of 3-methoxytyramine were 0.2 and 0.5 μg/kg, respectively. At the concentrations of 0.5, 1.0 and 3.0 μg/kg, the recoveries of the 3-methoxytyramine ranged from 76.97% to 119.20%, with the corresponding precision (n=6) of 1.53%~9.61%. While the recoveries of adrenaline at 50, 100 and 300 μg/kg were 90.65%~108.55% and the relative standard deviations were in the range of 1.29%~3.95%. The method would be accurate in results and good in repeatability, and it can be an important measure to monitor 3-methoxytyramine and adrenaline in dairy products.

With the rapid development and wide applications of information and communication technologies, human production and life and social governance are evolving in the direction of digitizing, informatization, and intelligence.As one of the most widely applied wireless communication technologies, the wireless local area network (WLAN) needs to make further breakthroughs in the key performance such as data throughput, reliability, and latency and needs to add sensing functions and intelligence.The huge frequency resources of the millimeter wave (mmWave) band have injected new momentum into the development of WLAN.But the mmWave WLAN has also brought new technical challenges and requirements.Firstly, the WLAN development history was reviewed, and network structures, typical applications, development directions, and performance index requirements of WLAN in the future were summarized.Then, the characteristics of wireless channels in the mmWave band were given, and the new requirements and challenges for mmWave WLAN design were analyzed.Finally, some potential key technologies that may meet these challenges and requirements were discussed and prospected.

Abstract Background We aimed to investigate the association between oral health and cognitive function in a sample of older adults from a Chinese rural community. Methods The cross-sectional cognitive function of 677 individuals were assessed by Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). A comprehensive profile of the oral health status was evaluated by questionnaire and clinical examination. Results Multiple covariates-adjusted regression models demonstrated decayed teeth (DT) and decayed/missing/filled teeth (DMFT) were negatively associated with MoCA score (all p

Pseudomonas putida KT2440 is a popular platform for bioremediation due to its robust tolerance to environmental stress and strong biodegradation capacity. Limited research on the salt tolerance of P. putida KT2440 has hindered its application. In this study, the strain KT2440 was tested to tolerate a maximum of 4% w/v NaCl cultured with minimal salts medium. Transcriptomic data in a high-salinity environment showed significant expression changes in genes in membrane components, redox processes, chemotaxis, and cellular catabolic processes. betB-encoding betaine-aldehyde dehydrogenase was identified from the transcriptome data to overexpress and enhance growth profile of the strain KT2440 in minimal salts medium containing 4% w/v NaCl. Meanwhile, screening for exogenous salt-tolerant genes revealed that the Na+/H+ antiporter EcnhaA from Escherichia coli significantly increased the growth of the strain KT2440 in 4% w/v NaCl. Then, co-expression of EcnhaA and betB (KT2440-EcnhaA-betB) increased the maximum salt tolerance of strain KT2440 to 5% w/v NaCl. Further addition of betaine and proline improved the salt tolerance of the engineered strain to 6% w/v NaCl. Finally, the engineered strain KT2440-EcnhaA-betB was able to degrade 56.70% of benzoic acid and 95.64% of protocatechuic acid in minimal salt medium containing 4% w/v NaCl in 48 h, while no biodegradation was observed in the normal strain KT2440 in the same conditions. However, the strain KT2440-EcnhaA-betB failed to degrade catechol in minimal salt medium containing 3% w/v NaCl. This study illustrated the improvement in the salt tolerance performance of Pseudomonas putida KT2440 and the feasibility of engineered strain KT2440 as a potential salt-tolerant bioremediation platform.

ABSTRACT: Objectives: This study aims to study the epidemiology of carbapenemase-producing Enterobacteriaceae (CPE) in Hong Kong. Methods: This is a longitudinal population-based study reporting monthly CPE incidence rate and a nested case-control study for identifying risk factors for CPE carriage. The cases were patients with at least one CPE-positive genotypic test, while the controls were randomly selected from the cohort with negative tests. Up to four controls per case were matched by sex, age group, and admission year-month. The independent risk factors were identified from a conditional logistic regression with potential covariates. Results: From 1 January 2008 to 31 December 2019, 8588 patients received CPE genotyping tests, and 2353 had at least one positive result. Class B carbapenemase was the predominant enzyme in the samples (78.6%). The incidence rate increased from 0.04 in 2015 to 1.62 in 2019 per 10,000 person-year. In the nested case-control study, 1709 cases and 6664 controls were matched. Previous use of any beta-lactam antibiotics (odds ratio:1.37 [1.22–1.53], P < 0.001) was found as an independent risk factor for carriage of CPE. Conclusion: The carriage of CPE was found with an increasing trend in Hong Kong. Previous use of any beta-lactam antibiotics is a risk factor for CPE.

Purpose: To investigate the pharmacokinetics and tissue distribution of VGB racemate and its single enantiomers, and explore the potential of clinic development for single enantiomer S-VGB. Methods: In the pharmacokinetics study, male Sprague-Dawley rats were gavaged with VGB racemate or its single enantiomers dosing 50, 100 or 200 mg/kg, and the blood samples were collected during 12 h at regular intervals. In the experiment of tissue distribution, VGB and its single enantiomers were administered intravenously dosing 200 mg/kg, and the tissues including heart, liver, spleen, lung and kidney, eyes, hippocampus, and prefrontal cortex were separated at different times. The concentrations of R-VGB and S-VGB in the plasma and tissues were measured using HPLC. Results: Both S-VGB and R-VGB could be detected in the plasma of rats administered with VGB racemate, reaching Cmax at approximately 0.5 h with t1/2 2–3 h. There was no significant pharmacokinetic difference between the two enantiomers when VGB racemate was given 200 mg/kg and 100 mg/kg. However, when given at the dose of 50 mg/kg, S-VGB presented a shorter t1/2 and a higher Cl/F than R-VGB, indicating a faster metabolism of S-VGB. Furthermore, when single enantiomer was administered respectively, S-VGB presented a slower metabolism than R-VGB, as indicated by a longer t1/2 and MRT but a lower Cmax. Moreover, compared with the VGB racemate, the single enantiomers S-VGB and R-VGB had shorter t1/2 and MRT, higher Cmax and AUC/D, and lower Vz/F and Cl/F, indicating the stronger oral absorption and faster metabolism of single enantiomer. In addition, regardless of VGB racemate administration or single enantiomer administration, S-VGB and R-VGB had similar characteristics in tissue distribution, and the content of S-VGB in hippocampus, prefrontal cortex and liver was much higher than that of R-VGB. Conclusions: Although there is no transformation between S-VGB and R-VGB in vivo, those two enantiomers display certain disparities in the pharmacokinetics and tissue distribution, and interact with each other. These findings might be a possible interpretation for the pharmacological and toxic effects of VGB and a potential direction for the development and optimization of the single enantiomer S-VGB.

This study delves into the impact of digital inclusive finance on environmental pollution, with a specific focus on air pollution. Utilizing data from 265 Chinese cities, advanced econometric methods such as the bi-directional fixed effects model, threshold model, spatial Durbin model, and multi-period difference-in-differences model are employed, incorporating a variety of control variables. The empirical findings indicate that digital inclusive finance significantly reduces air pollution. This mechanism chiefly operates through enhancing public environmental consciousness and fostering green technological innovation. The study also uncovers the spatial spillover effect and non-linear characteristics of digital inclusive finance on air pollution, along with its interactive effects with specific policies (e.g., smart city pilot policies and the "major protection, no major development" initiative). Moreover, heterogeneity analysis reveals regional variations in the environmental effects of digital inclusive finance. These insights provide a novel perspective on the relationship between financial technology and environmental protection and offer crucial guidance for policymaking.

The aroma types of cream cheese affect its commercial value and consumer acceptability. However, the types of volatile substances and sensory characteristics of cream cheese at different fermentation stages are still unclear. Therefore, in this study, headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) and headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) were used to analyze the volatile substances in cream cheese fermentation. Orthogonal partial least squares discriminant analysis (OPLS-DA), odor activity value (OAV), relative odor activity value (ROAV) and variable projection importance (VIP) were used to identify the characteristic flavor substances in cream cheese fermentation. Finally, the relationship between key flavor substances and sensory characteristics was determined by partial least squares (PLS) analysis. A total of 34 and 36 volatile organic compounds were identified by HS-SPME-GC-MS and HS-GC-MS, respectively, and 14 characteristic flavor substances were found, based on VIP, ROAV and OAV models. Combined with sensory analysis and flavor substance changes, it was found that the cream cheese fermented for 15 d had the best flavor and taste. This study reveals the characteristics and contribution of volatile substances in cream cheese at different fermentation stages, which provides new insights into improving flavor and quality control.

Background and Aims. Recurrence of gastroesophageal varices (GEVs) after sclerotherapy is a public health problem. However, mass screening of recurrence of GEVs through gastroscopy is a high-cost procedure. We aim to evaluate the changes in liver stiffness (LS) over time after endoscopic injection sclerotherapy (EIS) and determine its value in predicting the recurrence of GEVs. Methods. One hundred and thirty-five patients with GEVs who underwent EIS treatment were included in this study. The patients were divided into two groups, namely, the nonrecurrence and recurrence groups, based on endoscopic findings at 6 months after discharge. LS measurements were obtained on five occasions. Repeated measure analysis of variance was employed to assess LS differences at different time points and compare them between the two groups. Results. The LS values during the 6-month postdischarge period were consistently higher than the baseline value (measured on the day of hospitalization). The recurrence group demonstrated sustained elevated LS levels throughout the 6-month follow-up period, while the nonrecurrence group showed a gradual decline in LS. The difference in LS trend between the two groups was statistically significant (P=0.04). The area under the curve (AUC) values for LS differences were 0.806, with a corresponding 95% confidence interval (CI) of 0.640-0.918 and a cut-off value of 0.556, indicating their potential utility in predicting GEV recurrence. Conclusions. Longitudinal assessment of LS values in post-EIS patients can provide valuable information for predicting the recurrence of GEVs.

The potential adverse effects of the plant-based dietary pattern on bone health have received widespread attention. However, the biological mechanisms underlying the adverse effects of plant-based diets on bone health remain incompletely understood. The objective of this study was to identify potential biomarkers between plant-based diets and bone loss utilizing metabolomic techniques in the Taizhou Imaging Study (TIS) (N = 788). Plant-based diet indexes (overall plant-based diet index (PDI), healthy plant-based diet index (hPDI), and unhealthy plant-based diet index (uPDI)) were calculated using the food frequency questionnaire, and bone mineral density (BMD) was measured using dual-energy X-ray absorptiometry. A multinomial logistic regression was used to explore the associations of plant-based diet indexes with bone loss. Furthermore, mediation analysis and exploratory factor analysis (EFA) were performed to explore the mediated effects of metabolites on the association of plant-based diets with BMD T-score. Our results showed that higher hPDI and uPDI were positively associated with bone loss. Moreover, nineteen metabolites were significantly associated with BMD T-score, among them, seven metabolites were associated with uPDI. Except for cholesterol esters in VLDL-1, the remaining six metabolites significantly mediated the negative association between uPDI and BMD T-score. Interestingly, we observed that the same six metabolites mediated the positive association between fresh fruit and BMD T-score. Collectively, our results support the deleterious effects of plant-based diets on bone health and discover the potential mediation effect of metabolites on the association of plant-based diets with bone loss. The findings offer valuable insights that could optimize dietary recommendations and interventions, contributing to alleviate the potential adverse effects associated with plant-based diets.

Extending the interval between doses of mRNA Covid-19 vaccines has been linked with a reduced risk of myocarditis in children and adolescents, but impacts on vaccine effectiveness are not known. Here, the authors perform a nested case-control study using data from Hong Kong and find evidence of reduced risk of infection following a longer dosing interval.

Abstract Background Prenatal diagnosis of cleft palate is still challenging. To describe a practical and efficient method, sequential sector-scan through oral fissure (SSTOF), to evaluate palate. Methods According to the characteristics of the fetal oral anatomy and ultrasonic directivity, we designed a practical method, sequential sector-scan through oral fissure, to evaluate the fetal palate, and the approach was verified efficiently by following up results of those fetuses with orofacial cleft who were induced because of their accompanied lethal malformations. Then, the 7098 fetuses were evaluated using sequential sector-scan through oral fissure. Fetuses were followed up after birth or induction to validate and analyze prenatal diagnosis. Result According to the scanning design, sequential sector-scan through oral fissure was performed successfully from the soft palate to the upper alveolar ridge in induced labor fetuses, and the structures were displayed clearly. Among 7098 fetuses, satisfactory images were obtained for 6885 fetuses and the remaining 213 fetuses’ images were unsatisfactory because of fetuses’ positions and pregnant women with high BMI. Among 6885 fetuses, 31cases were diagnosed CLP or CP, which were confirmed after delivery or termination. There were no missing cases. Conclusions SSTOF is a practical and efficient method to diagnose cleft palate, which might be applied to evaluate the fetal palate in prenatal diagnosis.

Enhancing corporate green innovation is a crucial pathway towards achieving a green economic transformation. Diverging from the literature focusing on government environmental regulations and hard regulatory approaches, this study investigates how market soft regulation intervenes in corporate green innovation. From the perspective of informal environmental governance, this paper employs a multi-period difference-in-differences empirical model to examine the impact of ESG ratings on corporate green innovation. The findings reveal that ESG ratings have a positive influence on corporate green innovation. Specifically, ESG ratings encourage firms to increase the number of green patents application and authorization, thereby stimulating investment and innovation activities in the realm of green innovation. These conclusions remain robust after undergoing various statistical tests. In the analysis of moderating effects, this paper discovers a negative inhibitory effect of financing constraints on the relationship between ESG ratings and corporate green innovation. Additionally, the study finds that ESG ratings exhibit a more pronounced promotion effect on green innovation among high-pollution and high-quality information disclosure firms. The research emphasizes the importance for enterprises to undertake proactive strategic adjustments and provides insights for optimizing existing green development policies.

Spike architecture is an indicative trait of grain yield in common wheat (Triticum aestivum). A segregating population was generated for mapping genes contributing to spike morphometric traits by crossing the two common wheat cultivars 'CItr 17600' with branching spikes and 'Yangmai 18' with normal spikes. A major quantitative trait locus for spike length was mapped to the Q5A region of chromosome 5A. Yangmai 18 carried a Q5Ab allele for short spikes, which harbored one SNP in the last intron, and a 1-bp InDel in the 720-bp fragment from the start codon, compared to Q5Aa in Chinese Spring. CItr 17600 harbored a q5Ab allele for long spikes, which has a 6-bp deletion compared to the reported q5Aa allele that was involved in the binding site of microRNA 172 (miR172). This 6-bp deletion in immediately upstream of this binding site was involved in changes of four amino acids. The natural q5A allele appeared to be rare in common wheat but frequent in tetraploid T. turgidum accessions with branching spikes. The CRISPR/Cas9 technology was used to edit the upstream region involving in the miR172 binding site in Yangmai 18 and identified two independent editing events, one with a 1-bp insertion in Q5A and the other with a 2-bp deletion in Q5D, resulting in several shapes of spikes in the transgenic progeny. In addition to the effects of natural q5A allele and the edited Q5A genes, this study indicated the regeneratability and transformability of Yangmai 18 as an elite cultivar. Altogether, this study provides insight into future modification and engineering of spike architecture in common wheat.

Increasing rural income is the common requirement of poverty alleviation and a rural revitalization strategy. As a financial system arrangement, inclusive finance plays an important role in rural income. This paper analyzes the influence of inclusive finance development affecting rural income. Taking 13 regions in Xinjiang as samples, we used a fixed-effects and mediating-effect model to conduct empirical tests. We found that inclusive finance development can significantly promote rural income in Xinjiang. The role of inclusive financial development in the rural income in deep poverty areas is weaker than that in non-deep poverty areas. Meanwhile, with the proposal of the Belt and Road Initiative, the role of inclusive financial development in rural income has been significantly enhanced. Taking the per capita economic output as the mechanism variable, we found that it is a vital channel for inclusive finance to improve rural income.

Digital finance, as a new financial model, is increasingly attracting attention for its potential influence on regional innovation. By focusing on the nexus between digital finance and regional innovation efficiency, we first analyze the mechanism by which digital finance affects regional innovation efficiency, and then we empirically investigate its spatial spillover effect by employing the dynamic spatial Durbin model on the basis of a sample set of 31 Chinese provinces from 2011 to 2020. The results reveal that regional innovation efficiency had a significant spatial correlation and time dependence, globally, during the study period. Digital finance significantly contributes to regional innovation efficiency improvement, and such an effect has a significant positive spatial spillover. The spatial effect decomposition results report that the spatial spillover effect of digital finance affecting regional innovation efficiency is stronger than the direct effect. Besides, all three sub-dimensions of digital finance have spatial spillover effects, and the heterogeneity between eastern and central-western regions is mainly reflected in the spatial spillover effects of digital finance.

The present study analyzes the feasibility of energy flexibility for space cooling and heating of a typical Spanish domestic building during dissimilar geographical conditions. This study uses a new modified metaheuristic algorithm, called the Developed Wildebeest Herd Optimization (DWHO) algorithm to improve the demand for thermostat settings. The algorithm is also decreasing the network interaction and the costs of the operation. The main reason for using the proposed DWHO algorithm is to improve the accuracy of the algorithm and also to resolve the problem of convergence speed. The study also analyzes the Expected Flexibility Savings Index (EFSI) score. Simulation results indicated that the utilized energy flexibility indicator depends on different factors, such as electricity tariffs utilization time; thermal inertia of the typical domestic, and geographical position of the building users’ comfort boundaries. Simulations are established during a 24-h period. Simulation shows that the largest potential is achieved by Algezares with better irradiation capability. Alternatively, available cost flexibility in summer is decreased as the outside temperatures. Results show that the operation cost saves well. The final results indicate that the flexibility value is improved when the PV has been added to the system. This is proved based on the penalty factor. This shows that the proposed approach unites any desired period and can be used as an efficient planning tool for the policymakers.

Abstract A planar low‐profile 4 × 4 beam reconfigurable array antenna using electronically controllable method at X‐band is presented. A novel switchable slot‐coupled microstrip feed structure (SMFS) is employed in the design of the antenna, which can provide a 180° phase difference in a wide frequency band. The antenna element is composed of an SMFS, a 2 × 2 parasitic square metal patch array, and a DC bias circuit. By switching the p‐i‐n diodes on the SMFS for all antenna elements, four radiation patterns of the designed array antenna can be reconfigured. The measurement results indicate that the designed antenna has achieved good impedance matching over a wide overlapped relative bandwidth of 24%. Benefiting from the advantages of wideband operation in four dynamical reconfigurable beams, the proposed array antenna is quite suitable for intelligent spatial perception, multi‐beam, and anti‐interference wireless communication systems.

Thermal processing is one of the important techniques for most of the plant-based food and herb medicines before consumption and application in order to meet the specific requirement. The plant and herbs are rich in amino acids and reducing sugars, and thermal processing may lead to Maillard reaction, resulting as a high risk of acrylamide pollution. Acrylamide, an organic pollutant that can be absorbed by the body through the respiratory tract, digestive tract, skin and mucous membranes, has potential carcinogenicity, neurological, genetic, reproductive and developmental toxicity. Therefore, it is significant to conduct pollution determination and risk assessment for quality assurance and security of medication. This review demonstrates state-of-the-art research of acrylamide focusing on the toxicity, formation, contamination, determination, and mitigation in taking food and herb medicine, to provide reference for scientific processing and ensure the security of consumers.

Background: Mutant analysis remains one of the main genetic tools for characterising unclarified gene functions in plants, especially in non-model plants. Daylily (Hemerocallis spp.) is a popular perennial ornamental plant grown worldwide. Analysis of daylily mutants can enhance understanding of genes regulating the albino phenotype and improve the cultivar quality of daylily. Methods: The natural albino mutant (Alb-⁣/-) was isolated by screening a self-pollinated progeny of daylily cultivar ‘black-eyed stella’. Transmission electron microscopy was used in analysing the structure of plastids between mutant and wild-type seedlings. The content of chlorophyll, carotenoids and chlorophyll precursors in plants was measured by ultraviolet spectrophotometry. RNA sequencing and physiological measurements were performed to explore the association between drought tolerance and mutation. Results: All the seedlings of the daylily albino mutants died spontaneously within fifteen days after germination when grown in soil. The carotenoid and chlorophyll content in the leaves of the mutant plants significantly decreased compared with those of the wild-type control. The mutant plants displayed stunted growth, and their leaves were white or light yellow in color. Abnormal plastids such as those showing endomembrane vesiculation and lacking stacking were discovered in the leaves of mutant plants. Furthermore, genetic analysis revealed that a single recessive nuclear gene mutation led to the albino trait, RNA sequencing and real-time quantitative PCR validation showed extensive differences in gene expression between the mutant plants and the wild-type control, and most of the genes related to chlorophyll metabolism were down-regulated, with foldchange ranging from 0.20–0.49. Additionally, the surviving homozygous plants (Alb+⁣/+), which do not contain this mutation, were also isolated by analysing the phenotype of their self-pollinated progeny. The net photosynthesis rate and light saturation point of Alb+⁣/+ were higher than those of heterozygous (Alb+⁣/-) plants. Additionally, the Alb+⁣/+ plants were more tolerant to drought conditions than the Alb+⁣/- plants, suggesting that a heterozygous Alb- mutation is sufficient to negatively affect photosynthetic efficiency and drought tolerance. Conclusions: The albino mutation negatively affects photosynthetic efficiency and drought tolerance, and homozygous mutation is required for the characteristic albino phenotype. This work highlights the link between albino mutation, photosynthetic pigment metabolism and drought sensitivity in daylily.

The remarkably long distances covered by deep space probes result in extremely weak downlink signals, which poses great challenges for ground measurement systems. In the current climate, improving the comprehensive utilization of downlink signal power to increase the detection distance or enhance the measurement accuracy is of great significance in deep space exploration. Facing this problem, we analyze the delta Differential One-way Range (ΔDOR) error budget of the X-band of the China Deep Space Network (CDSN). Then, we propose a novel interferometry method that detunes one group of DOR beacons and reuses the clock components of regenerative pseudo-code ranging signals for interferometry delay estimation. The primary advantage of this method is its ability to enhance the power utilization efficiency of downlink signals, thereby facilitating more efficient tracking and measurement without necessitating additional design requirements for deep space transponders. Finally, we analyze and verify the correctness and effectiveness of our proposed method using measured data from CDSN. Our results indicate that the proposed method can save approximately 13% of the downlink signal power and increase the detection distance by about 6.25% using typical modulation parameters. Furthermore, if the relative power of other signal components remains unchanged, the power of the DOR tone can be directly increased by more than 100%, improving the deep space exploration ability more significantly.

Stomatal development is regulated by multiple intrinsic developmental and environmental signals. Here, the authors show that spatially patterned hydrogen peroxide activates the energy sensor SnRK1 to stabilize the SPCH transcription factor and optimize stomatal development in Arabidopsis.

Abstract Investigation and assessment of farmland pollution require an efficient method to identify heavy metal (HM) pollutants and their sources. In this study, heavy metals (HMs) in farmland were determined efficiently using high-precision X-ray fluorescence (HDXRF) spectrometer. The potential ecological risk and health risk of HMs in farmland near eight villages of Wushan County in China were quantified using an integrated method of concentration-oriented risk assessment (CORA) and source-oriented risk assessment (SORA). The CORA results showed that Cd in farmland near the villages of Liuping (LP) and Jianping (JP) posed a “very high” potential ecological risk, which is mainly ascribed to soil Cd (single potential ecological risk index ( $${E}_{r}^{i}$$ E r i ) of Cd in villages LP and JP, $${E}_{r}^{i}$$ E r i = 2307 and 568 > 320). A “moderate” potential ecological risk was present in other six villages. The overall non-carcinogenic risk (hazard index (HI) = 1.2 > 1) of HMs for children in village LP was unacceptable. The contributions of HMs decrease in the order of Cr > As > Cd > Pb > Ni > Cu > Zn. The total carcinogenic risk (TCR = 2.1 × 10–4 > 1.0 × 10–4) of HMs in village LP was unacceptable, with HMs contributions decreasing in the order of Cr > Ni > Cd > As > Pb. Furthermore, three source profiles were assigned by the positive matrix factorization: F1: agricultural activity; F2: geological anomaly originating from HMs-rich rocks; F3: the natural geological background. According to the results of SORA, F2 was the highest contributor to PER in village LP, up to 64.4%. Meanwhile, the contributions of three factors to HI in village LP were 19.0% (F1), 53.6% (F2), and 27.4% (F3), respectively. It is worth noting that TCR (1.2 × 10–4) from F2 surpassed the threshold of 1.0 × 10–4, with an unacceptable carcinogenic risk level. As mentioned above, the HM pollutants (i.e., Cd and Cr) and their main sources (i.e., F2) in this area should be considered. These results show that an integrated approach combining risk assessments with the determination of HM concentration and identification of HM source is effective in identifying HM pollutants and sources and provides a good methodological reference for effective prevention and control of HM pollution in farmland.