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Abstract Inflammatory bowel disease (IBD) is a chronic and recurrent inflammatory disease of the gastrointestinal tract, including two subtypes: Crohn’s disease (CD) and ulcerative colitis (UC). Metabolic disorders are important factors in the development of IBD. However, the evidence for the causal relationship between blood metabolites and IBD remains limited. A two-sample MR analysis was applied to evaluate relationships between 486 blood metabolites and IBD. The inverse variance weighted method was chosen as the primary MR analysis method. False discovery rate correction was used to control for false positives in multiple testing. Following complementary and sensitivity analyses were conducted using methods such as weight median, MR-egger, weighted mode, simple mode, Cochran Q test, and MR-PRESSO. Moreover, we performed replication, meta-analysis, Steiger test, and linkage disequilibrium score regression to enhance the robustness of the results. Additionally, we performed metabolic pathway analysis to identify potential metabolic pathways. As a result, we identified four significant causal associations between four blood metabolites and two IBD subtypes. Specifically, one metabolite was identified as being associated with the development of CD (mannose: odds ratio (OR) = 0.19, 95% confidence interval (CI) 0.08–0.43, P = 8.54 × 10–5). Three metabolites were identified as being associated with the development of UC (arachidonate (20:4n6): OR = 0.18, 95% CI 0.11–0.30, P = 2.09 × 10–11; 1, 5-anhydroglucitol: OR = 2.21, 95% CI 1.47–3.34, P = 1.50 × 10–4; 2-stearoylglycerophosphocholine: OR = 2.66, 95% CI 1.53–4.63, P = 5.30 × 10–4). The findings of our study suggested that the identified metabolites and metabolic pathways can be considered as useful circulating metabolic biomarkers for the screening and prevention of IBD in clinical practice, as well as candidate molecules for future mechanism exploration and drug target selection.

Clubroot caused by Plasmodiophora brassicae is a devastating disease of Cruciferous crops. Developing cultivars with clubroot resistance (CR) is the most effective control measure. For the two major Brassica vegetable species B. rapa and B. oleracea, several commercial cultivars with unclear CR pedigrees have been intensively used as CR donors in breeding. However, the continuous occurrence of CR-breaking makes the CR pedigree underlying these cultivars one of the breeders' most urgent concerns. The complex intraspecific diversity of these two major Brassica vegetables has also limited the applicability of CR markers in different breeding programs. Here we first traced the pedigree underlying two kinds of CR that have been widely applied in breeding by linkage and introgression analyses based on public resequencing data. In B. rapa, a major locus CRzi8 underlying the CR of the commercial CR donor ‘DegaoCR117’ was identified. CRzi8 was further shown to have been introgressed from turnip (B. rapa ssp. rapifera) and that it carried a potential functional allele of Crr1a. The turnip introgression carried CRbc, sharing the same coding sequence with the CRb that was also identified from chromosome C07 of B. oleracea CR cultivars with different morphotypes. Within natural populations, variation analysis of linkage intervals of CRzi8, PbBa8.1, CRb, and CRbc yielded easily resolved InDel markers (> 20 bp) for these fundamental CR genes. The specificity of these markers was tested in diverse cultivars panels, and each exhibited high reliability in breeding. Our research demonstrates the value of the practice of applying resequencing big data to solve urgent concerns in breeding programs.

Improving the geo-hazard meteorological risk warning capabilities is an important component of the comprehensive prevention system for geological disasters. Since 2003, Sichuan Province has been carrying out geo-hazard meteorological risk warning work. Building on the previous foundation, research has been focused on the analysis and establishment of warning models, system design and implementation, and graded warning operation modes since 2019. A geo-hazard warning model library, an integrated geological disaster meteorological risk warning interconnection system at the provincial, municipal, and county levels, and a graded warning mechanism have been created. We have achieved closed-loop management of interconnection and graded early warning based on integrated platform such as rainfall data transmission, early warning model analysis and calculation, and early warning information release in province, cities, and counties. This has solved the three problems of lack of technology, capacity, and funding in cities and counties, as well as the interference caused by multiple early warning information releases on grassroots levels. In 2023, 86% of the successful risk avoidance cases in Sichuan Province were affected by meteorological risk warning, effectively reducing casualties and property losses caused by geo-hazard.

Abstract Exciton–polaritons (polaritons) resulting from the strong exciton–photon interaction stimulates the development of novel low-threshold coherent light sources to circumvent the ever-increasing energy demands of optical communications1–3. Polaritons from bound states in the continuum (BICs) are promising for Bose–Einstein condensation owing to their theoretically infinite quality factors, which provide prolonged lifetimes and benefit the polariton accumulations4–7. However, BIC polariton condensation remains limited to cryogenic temperatures ascribed to the small exciton binding energies of conventional material platforms. Herein, we demonstrated room-temperature BIC polariton condensation in perovskite photonic crystal lattices. BIC polariton condensation was demonstrated at the vicinity of the saddle point of polariton dispersion that generates directional vortex beam emission with long-range coherence. We also explore the peculiar switching effect among the miniaturized BIC polariton modes through effective polariton−polariton scattering. Our work paves the way for the practical implementation of BIC polariton condensates for integrated photonic and topological circuits.

Abstract Background Severe bacterial infections can trigger acute lung injury (ALI) and acute respiratory distress syndrome, with bacterial pathogen‐associated molecular patterns (PAMPs) exacerbating the inflammatory response, particularly in COVID‐19 patients. Cyclic‐di‐GMP (CDG), one of the PAMPs, is synthesized by various Gram‐positve and Gram‐negative bacteria. Previous studies mainly focused on the inflammatory responses triggered by intracellular bacteria‐released CDG. However, how extracellular CDG, which is released by bacterial autolysis or rupture, activates the inflammatory response remains unclear. Methods The interaction between extracellular CDG and myeloid differentiation protein 2 (MD2) was investigated using in vivo and in vitro models. MD2 blockade was achieved using specific inhibitor and genetic knockout mice. Site‐directed mutagenesis, co‐immunoprecipitation, SPR and Bis‐ANS displacement assays were used to identify the potential binding sites of MD2 on CDG. Results Our data show that extracellular CDG directly interacts with MD2, leading to activation of the TLR4 signalling pathway and lung injury. Specific inhibitors or genetic knockout of MD2 in mice significantly alleviated CDG‐induced lung injury. Moreover, isoleucine residues at positions 80 and 94, along with phenylalanine at position 121, are essential for the binding of MD2 to CDG. Conclusion These results reveal that extracellular CDG induces lung injury through direct interaction with MD2 and activation of the TLR4 signalling pathway, providing valuable insights into bacteria‐induced ALI mechanisms and new therapeutic approaches for the treatment of bacterial co‐infection in COVID‐19 patients.

IntroductionThe digital financial inclusion (DFI) provides opportunities to improve the relative capacity to pay for healthcare services by rural residents who are usually underserved by traditional finance in China. This paper provides empirical evidence on how the development of DFI affects the healthcare expenditure disparities between urban and rural residents.MethodsWe employed the fixed effects model and instrumental variable method to estimate the impact of DFI on the Theil index of urban–rural disparities in healthcare expenditures, using panel data from 31 provinces (2011 ~ 2020) in China. We further adopted a moderating effect model to test whether the intensity of the impact would vary depending on the level of local government health expenditures.ResultsThe results suggest a negative association between the development level of DFI and the urban–rural healthcare expenditure disparities in China. For every 1% increase in the DFI index, the Theil index of urban–rural disparities in healthcare expenditures would fall by 0.0013. After changing the measurement method for the dependent variable and adjusting the sample, the results remain robust. Moreover, the result of the moderating effect model indicates that, a high level of government health expenditures is conducive to the impact of DFI.DiscussionOur research reveals that DFI plays an important role in bridging the urban–rural gap in healthcare expenditures. This finding provides new information for addressing the issue of urban–rural healthcare inequality in China. Chinese government needs to accelerate the construction of digital infrastructure and increase the penetration rate of digital tools in rural areas to promote the beneficial effects of DFI. Additionally, it is also necessary for local government to address the unbalanced allocation of medical resources between urban and rural areas, especially the shortage of rural human resources.

BackgroundErectile dysfunction (ED) is a very common condition among adult men and its prevalence increases with age. The ankle-brachial blood pressure index (ABPI) is a noninvasive tool used to assess peripheral vascular disease (PAD) and vascular stiffness. However, the association between ABPI and ED is unclear. We aimed to explore the association between ABPI and ED in the US population.MethodsOur study used data from two separate National Health and Nutrition Examination Survey (NHANES) datasets (2001-2002 and 2003-2004). Survey-weighted logistic regression models were used to explore the association between ABPI as a continuous variable and quartiles with ED. We further assessed the association between ABPI and ED using restricted cubic regression while selecting ABPI thresholds using two-piecewise Cox regression models. In addition, we performed subgroup analyses stratified by BMI, race, marital status, diabetes, and hypertension.Main outcome measureABPI was calculated by dividing the mean systolic blood pressure at the ankle by the mean systolic blood pressure at the arm.ResultsFinally, 2089 participants were enrolled in this study, including 750 (35.90%) ED patients and 1339 (64.10%) participants without ED. After adjusting for all confounding covariates, logistic regression analyses showed a significant association between ABPI and ED (OR=0.19; 95% CI, 0.06-0.56, P=0.01); with ABPI as a categorical variable, compared with the lowest quartile, the OR and 95% CI for the second quartile were 0.58 (0.34-0.97; P = 0.04).Besides, splines indicated that there was an L-shaped relationship between ABPI levels and the risk of ED. Piecewise Cox regression demonstrated the inflection point at 1.14, below which the OR for ED was 0.06 (0.02-0.20; P < 0.001), and above which the OR was 2.79 (0.17-4.53; P = 0.469).ConclusionIn our study, lower ABPI was independently associated with ED risk. In addition, the lowest ABPI level associated with ED risk was 1.14, below this level, lower ABPI was associated with higher ED risk.

Observation of coral spawning times is valuable to detect spawning patterns and identify the potential mechanisms behind coral reproduction. Although large amount of data on global coral spawning records have become available over the past decades, information on coral spawning in the northern South China Sea remains scarce. In this study, we investigated the spawning patterns of scleractinian corals in Luhuitou fringing reef, Hainan Island, China, from 2009 to 2021 in relation to lunar cycles (month and day). The spawning times of 22 coral species from five genera (Acropora, Montipora, Platygyra, Dipsastraea, and Galaxea) within three families (Acroporidae, Merulinidae, and Euphylliidae) were recorded, with spawning occurring from lunar February to May 2009–2021. Recorded spawning events started at a period of increasing seawater temperature. Acropora, the most documented genus, spawned between lunar February and April, but primarily in lunar March. Importantly, the spawning time of Acropora was delayed for one lunar month in 2016 most likely due to a rapid decrease in monthly mean seawater temperature in lunar February. Spawning lunar days before, on or after full moon of corals in the Luhuitou Reef, including those of the Acropora species, were highly variable between years even for the same species. No predictable pattern of spawning times can thus be detected. Nonetheless, our results fill up an information gap on coral spawning patterns in the northern South China Sea that may be useful for further understanding of the reproductive biology of scleractinian corals throughout the Indo–West Pacific.

Objectives: Killer cell lectin like receptor G1 (KLRG1) is identified as a co-inhibitory receptor for NK cells and antigen-experienced T cells. The role of KLRG1 in immune regulation in patients with non-small cell lung cancer (NSCLC) remains poorly understood. Materials and Methods: We measured the proportion and immune function of KLRG1+CD8+ T cells derived from peripheral blood in patients with NSCLC by flow cytometry. Besides, using data from the gene expression profiles and single-cell sequencing, we explored the expression and immune role of KLRG1 in tumor tissues of patients with NSCLC. We further determined the prognostic value of KLRG1 in terms of overall survival (OS) in NSCLC patients. Results: We found that the proportion of KLRG1+CD8+T cells in peripheral blood significantly increased in patients with NSCLC as compared to those with benign pulmonary nodules and healthy donors. Peripheral KLRG1+CD8+T cell proportion was increased in elder subjects compared to that in younger ones, implying an immunosenescence phenotype. Moreover, the KLRG1+CD8+T cell levels were positively correlated with tumor size and TNM stage in the NSCLC cohort. In vitro stimulation experiments demonstrated that the KLRG1+CD8+T cells from peripheral blood expressed higher levels of Granzyme B and perforin than the KLRG1−CD8+ T cells. However, single-cell RNA sequencing data revealed that the KLRG1+CD8+ T cells were less infiltrated in tumor microenvironment and exhibited impaired cytotoxicity. The KLRG1 gene expression levels were significantly lower in tumor tissues than that in normal lung tissues, and were inversely correlated with CDH1 expression levels. Moreover, higher expression of CDH1 in tumor tissues predicted worse overall survival only in patients with KLRG1-high expression, but not in the KLRG1-low subset. Conclusion: This study demonstrates that KLRG1+CD8+T cells were associated with tumor immune evasion in NSCLC and suggests KLRG1 as a potential immunotherapy target.

High temperature stress is one of the major environmental factors that affect the growth and development of plants. Although WRKY transcription factors play a critical role in stress responses, there are few studies on the regulation of heat stress by WRKY transcription factors, especially in tomato. Here, we identified a group I WRKY transcription factor, SlWRKY3, involved in thermotolerance in tomato. First, SlWRKY3 was induced and upregulated under heat stress. Accordingly, overexpression of SlWRKY3 led to an increase, whereas knock-out of SlWRKY3 resulted in decreased tolerance to heat stress. Overexpression of SlWRKY3 accumulated less reactive oxygen species (ROS), whereas knock-out of SlWRKY3 accumulated more ROS under heat stress. This indicated that SlWRKY3 positively regulates heat stress in tomato. In addition, SlWRKY3 activated the expression of a range of abiotic stress-responsive genes involved in ROS scavenging, such as a SlGRXS1 gene cluster. Further analysis showed that SlWRKY3 can bind to the promoters of the SlGRXS1 gene cluster and activate their expression. Collectively, these results imply that SlWRKY3 is a positive regulator of thermotolerance through direct binding to the promoters of the SlGRXS1 gene cluster and activating their expression and ROS scavenging.

The formation and evolution characteristics of fracture surface is one of the key points in anti-inclined layered slope research, and it is also the basis of stability evaluation as well as engineering design and treatment. In this study, the stress and deformation parameters of the slope are obtained by using the indoor large-scale geotechnical centrifuge. At the same time, combined with the PFC numerical simulation results, the formation and evolution process and characteristics of the slope fracture surface are displayed: firstly, the compression shear crack is generated and extends to the middle and lower part of the slope, and the compression shear zone of the slope is divided; secondly, the developments of cracks toward to the middle and upper part of the slope, and with the initial formation of fracture surface, the deep slope body is bent; finally, the shallow cracks are completely connected to form a complete fracture surface Ⅰ from the top to the foot of the slope. The middle and upper parts of the internal potential fracture surface (Ⅱ, Ⅲ) are approximately parallel to the slope surface, and the lower parts are merged gradually at the foot of the slope. While the potential fracture surface Ⅳ at the boundary between the stable compression area and the bending area is stepped. At the same time, there are three secondary fracture surfaces in the shallow layer of the slope. The formation mechanism of the fracture surface is revealed that the deformation and failure of the slope causes the differential stress of the rock stratum due to the action of gravity. Under the action of compression shear, tension shear and bending, the crack initiates and expands from the tip of the prefabricated crack, and finally penetrates to form the fracture surface. Therefore, gravity is the internal reason, and the structural characteristics of slope are the basic conditions. The research results provide a basis for further research and practice of anti-inclined layered slope.

Objective: Existing methods for automated coronary artery branch labeling in cardiac CT angiography face two limitations: 1) inability to model overall correlation of branches, since differences between branches cannot be captured directly. 2) a serious class imbalance between main and side branches. Methods and procedures: Inspired by the application of Transformer in sequence data, we propose a topological Transformer network (TTN), which solves the vessel branch labeling from a novel perspective of sequence labeling learning. TTN detects differences between branches by establishing their overall correlation. A topological encoding that represents the positions of vessel segments in the artery tree, is proposed to assist the model in classifying branches. Also, a segment-depth loss is introduced to solve the class imbalance between main and side branches. Results: On a dataset with 325 CCTA, our method obtains the best overall result on all branches, the best result on side branches, and a competitive result on main branches. Conclusion: TTN solves two limitations in existing methods perfectly, thus achieving the best result in coronary artery branch labeling task. It is the first Transformer based vessel branch labeling method and is notably different from previous methods. Clinical impact: This Pre-Clinical Research can be integrated into a computer-aided diagnosis system to generate cardiovascular disease diagnosis report, assisting clinicians in locating the atherosclerotic plaques.

AbstractObjectives To evaluate the efficacy of a novel approach to achieve the optimal penile erection during the penile doppler ultrasound (PDU) examination, which was oral sildenafil combined alprostadil injection.Materials and Methods A total of 60 ED patients were enrolled in our prospective study, and they were randomly assigned to two group with different PDU order. The approaches assisted the PDU included two models, mode A meaning injection of 15 μg alprostadil and model B meaning oral sildenafil 100 mg plus injection of 15 μg alprostadil. The PDU parameters were measured continuously before induced erection, and 5, 10, 15, 20, 25 min.Results Each group included 30 ED patients with similar clinical characteristics. After pooling the results together, the PSV, EDV, and RI were all improved significantly, when adding the oral sildenafil administration to assist PDU. Also, the clinical response of oral sildenafil administration plus alprostadil injection was better than that in alprostadil injection alone (p = 0.016). The arterial ED were decreased from 31.67% to 15.00% with the P value 0.031, and the mixed ED was also decreased statistically (23.33% vs 8.33%, p = 0.024).Conclusion Oral sildenafil administration plus alprostadil injection could improve the diagnostic accuracy of PDU.

Coral reefs are severely threatened by global and local disturbances that can shift reefs from coral to algal dominance. Coral-macroalgae competition is expected to exacerbate coral decline as the interactions increase in frequency. Whereas numerous studies over the last decade have aimed to characterize the interactions and impacts on coral growth and physiology, the underlying mechanisms remain controversial. This study tested the impact of different macroalgal species, densities, and contact status with corals on the physiological response of corals in Sanya Reefs. The results revealed that direct contact with increasing densities of fleshy macroalgae had a negative impact on the photosynthesis, growth rate, and tissue biomass of the two common corals. However, calcified macroalgae did not significantly affect the corals, regardless of whether there was direct contact or not. Under the same conditions, Acropora intermedia appeared to be more susceptible to fleshy macroalgae compared to Porites lutea. This suggested that different corals varied in their susceptibility to various macroalgae. Additionally, the results of the generalized linear mixed model revealed that macroalgal species and contact status with corals were the most important predictors of the impacts of macroalgae on corals, and macroalgal density was another nonnegligible parameter. Overall, macroalgae may have caused a potential functional shift in the composition of coral assemblages on the Sanya reefs by further reducing the already depauperate reef-building coral populations. The negative impacts of macroalgae in Sanya Reefs may serve as an early warning that the persistence of the invaluable ecological functions provided by coral reefs will be increasingly threatened throughout the South China Sea. Our findings could contribute to improving the scientific and effective management practices, fostering sustainable coral reef development in China and beyond.

Summary: Exhausted CD8+ T cells (Texs) are characterized by the expression of various inhibitory receptors (IRs), whereas the functional attributes of these co-expressed IRs remain limited. Here, we systematically characterized the diversity of IR co-expression patterns in Texs from both human oropharyngeal squamous cell carcinoma (OPSCC) tissues and syngeneic OPSCC model. Nearly 60% of the Texs population co-expressed two or more IRs, and the number of co-expressed IRs was positively associated with superior exhaustion and cytotoxicity phenotypes. In OPSCC patients, programmed cell death-1 (PD-1) blockade significantly enhanced PDCD1-based co-expression with other IR genes, whereas dual blockades of PD-1 and cytotoxic T lymphocyte-associated protein 4 (CTLA-4) significantly upregulated CTLA4-based co-expression with other IR genes. Collectively, our findings demonstrate that highly diverse IR co-expression is a leading feature of Texs and represents their functional states, which might provide essential clues for the rational selection of immune checkpoint inhibitors in treating OPSCC.

Abstract The triboelectric nanogenerator (TENG) reflects a prospering field, that uses Maxwell's displacement current as the driving force to transform mechanical energy into electricity. Based on the law of energy conservation, many theoretical models of TENGs are proposed to provide a detailed insight into how energy flows and transformation in the energy harvesting system, while ignoring a hidden but extremely important point about TENG's momentum transfer and conservation. Here a series of analysis is presented for the momentum transfer and conservation in TENGs based on Maxwell equations and stress tensor. Using a time‐dependent 3D mathematical model, it is elaborated that how the time‐ and spatial‐dependent momentum current is influenced by the field and the dielectric materials, demonstrating that momentum is overall conserved for a TENG. In other words, the TENG device can not only convert mechanical energy into electricity, but it is also able to transfer momentum. Momentum transfer is another important characteristic of TENGs, and finally, the essential differences and similarities among the momentum transfer, energy transfer, and energy transformation in TENGs are systematically discussed. This study will certainly serve as a new starting point for exploring momentum transfer and conservation in the TENG momentum transfer system.

Several methods have been applied to measure healthcare accessibility, ie, the Euclidean distance, the network distance, and the transport time based on speed limits. However, these methods generally produce less accurate estimates than actual measurements. This research proposed a method to estimate historical healthcare accessibility more accurately by using taxi Global Positioning System (GPS) traces. The proposed method’s advantages were evaluated vis a case study using acute myocardial infarction (AMI) cases in Beijing in 2008. Comparative analyses of the new measure and three conventionally used measures suggested that the median estimated transport time to the closest hospital with percutaneous coronary intervention (PCI) capability for AMI patients was 5.72 minutes by the taxi GPS trace-based measure, 2.42 minutes by the network distance-based measure, 2.28 minutes by the speed limit-based measure, 1.73 minutes by the Euclidean distance-based measure; and the estimated proportion of patients who lived within 5 minutes of a PCI-capable hospital was 38.17%, 89.20%, 92.52%, 95.05%, respectively. The three conventionally used measures underestimated the travel time cost and overestimated the percentage of patients with timely access to healthcare facilities. In addition, the new measure more accurately identifies the areas with low or high access to healthcare facilities. The taxi GPS trace-based accessibility measure provides a promising start for more accurately estimating accessibility to healthcare facilities, increasing the use of medical records in studying the effects of historical healthcare accessibility on health outcomes, and evaluating how accessibility to healthcare changes over time.

The surging accumulation of trajectory data has yielded invaluable insights into urban systems, but it has also presented challenges for data storage and management systems. In response, specialized storage systems based on non-relational databases have been developed to support large data quantities in distributed approaches. However, these systems often utilize storage by point or storage by trajectory methods, both of which have drawbacks. In this study, we evaluate the effectiveness of segmented trajectory data storage with HBase optimizations for spatio-temporal queries. We develop a prototype system that includes trajectory segmentation, serialization, and spatio-temporal indexing and apply it to taxi trajectory data in Beijing. Our findings indicate that the segmented system provides enhanced query speed and reduced memory usage compared to the Geomesa system.

Abstract Osteoporosis is a prevalent bone disease with multigene involved, and the molecular mechanisms of its pathogenesis are not entirely understood. This study aims to identify novel key genes involved in osteoporosis to discover potential pharmacological targets. We analyzed three microarray datasets and identified four differentially expressed genes. The LASSO model indicated that RNA-binding motif protein 5 (RBM5) is associated with osteoporosis and is a potential drug target. We conducted the Spearman correlation analysis and found 52 genes that were significantly related to RBM5. Enrichment analysis showed that these genes were primarily involved in RNA splicing and osteoclast differentiation pathways. By using lentivirus-based shRNA, we successfully knocked down RBM5 expression in RAW264.7 cell line, which showed that RBM5 knockdown significantly impaired their differentiation potential to mature osteoclasts and significantly inhibited bone-resorbing activity. RT-qPCR analyses revealed the expression of osteoclastogenesis marker genes was downregulated along with RBM5 expression. These findings suggest that RBM5 plays a crucial role in the pathogenesis of osteoporosis and provides a new potential pharmacological target.

Abstract Background Few studies were conducted to explore the association between sleep quality and nocturnal erection. Here, we intended to explore the association between sleep quality and nocturnal erection monitor when conducting nocturnal erection monitor. All erectile dysfunction (ED) patients underwent sleep monitors using Fitbit Charge 2™ (Fitbit Inc.) and nocturnal penile tumescence and rigidity (NPTR) monitors using RigiScan® (GOTOP medical, Inc., USA) for two nights. Subsequently, the patients were divided into two groups: Group A included patients who experienced effective erections only on the second night, while Group B included patients who had effective erections on both nights. To explore the associations between NPTR parameters and sleep parameters, a comparative analysis was performed between Group A and Group B for both nights. Results Finally, our study included 103 participants, with 47 patients in Group A and 56 patients in Group B. Notably, the Group A patients showed significant improvements in NPTR parameters on the second night compared to the first night. Conversely, the NPTR parameters on Group B of the second night did not demonstrate a superior outcome when compared to the second night of Group A. Interestingly, it was found that only the disparities in sleep parameters accounted for the variation in NPTR parameters between the two groups on the first night. After correlation and ROC analysis, we identified the rapid eye movement (REM) sleep time and wake after sleep onset (WASO) time monitoring by the Fitbit Charge 2 as the primary parameters for predicting abnormal NPTR results in the first night. Conclusions Therefore, our study strongly suggests a close association between sleep parameters and NPTR parameters. It emphasizes the importance of incorporating sleep monitoring alongside nocturnal erection monitoring to enhance the reliability of the NPTR results.

Abstract Background Immense attention has been given to the outcome of COVID-19 infection. However, comprehensive studies based on large populational cohort with long-term follow-up are still lacking. This study aimed to investigate the risk of various short-term comorbidities (within one month) and long-term sequelae (above one month) after COVID-19 infection. Methods In this large prospective cohort study with 14 months follow-up information based on UK biobank, we included 16,776 COVID-19-positive participants and 58,281 COVID-19-negative participants matched for comparison. The risk of each comorbidity and sequela was evaluated by multivariable logistic regression analysis and presented as hazard ratio (HR) and 95% confidence interval (95% CI). Results COVID-19-positive individuals had a higher risk of 47 types of comorbidities within one month following COVID-19 infection, especially those who were older, male, overweight/obese, ever-smoked, with more pre-existing comorbidities and hospitalized. About 70.37% of COVID-19 patients with comorbidities had more than one co-occurring comorbidities. Additionally, only 6 high-risk sequelae were observed after one month of COVID-19 infection, and the incidence was relatively low (

Hypothalamic hamartomas (HHs) are congenital developmental malformations located in the hypothalamus. They are associated with a characteristic clinical manifestation known as gelastic seizures (GS). However, the traditional understanding of HHs has been limited, resulting in insufficient treatment options and high recurrence rates of seizures after surgery. This is consistent with the network hypothesis of focal epilepsy that the epileptogenic zone is not only limited to HH but may also involve the distant cerebral cortex external to the HH mass. The epilepsy network theory, on the other hand, provides a new perspective. In this study, we aim to explore HH-related epilepsy as a network disease, challenging the conventional notion of being a focal lesional disease. We analyze various aspects of HHs, including genes and signaling pathways, local circuits, the whole-brain level, phenotypical expression in terms of seizure semiology, and comorbidities. By examining HHs through the lens of network theory, we can enhance our understanding of the condition and potentially identify novel approaches for more effective management and treatment of epilepsy associated with HHs.

Abstract ADAMTS12 is a gene widely expressed in human tissues. We studied the expression level of ADAMTS12 in cervical cancer tissue and its relationship with clinicopathological features. We also explored the function of ADAMTS12 in cervical cancer cells and its underlying mechanisms. We found the higher expression level of ADAMTS12 in cancer tissues, which was associated with the worse overall survival rate. The immunofluorescence assay showed that the cytoplasm of cervical cancer cells is the main expression site of ADAMTS12. Overexpression of ADAMTS12 in HeLa and CaSki cells prominently promoted the cell proliferation, migration and invasion. We found that 2032 genes were correlated with ADAMTS12, which was mainly related to extracellular matrix, TGF-β signaling pathway. The phosphorylation levels of mTOR and 4E-BP1 were upregulated in ADAMTS12-overexpressing cells. Co-Immunoprecipitation combined with protein mass spectrometry showed that TGF-β signaling pathway-related proteins interacting with ADAMTS12 were screened from HeLa cells with ADAMTS12 overexpression. Therefore, we concluded that ADAMTS12 may affect the mTOR signaling pathway through the interacting with TGF-β1, and then affect the biological function of cervical cancer cells.

Abstract Background Cervical cancer is and will remain to be an important health problem in China, especially with an increasing proportion of younger patients who has more specific needs. In China, surgery to remove tumor burden followed by postoperative treatment with radiotherapy and chemotherapy based on clinicopathologic factors may be the best choice for stages IB3 and IIA2 patients. Radical hysterectomy in cervical cancer has been a classic landmark surgery in gynecology. The current trial is designed to evaluate whether there is a difference between laparoscopic RH and abdominal RH in cervical cancer (stages IB3 and IIA2) patient survival under stringent operation standards and consistent surgical oncologic principles. This paper reports the rationale, design, and implementation of the trial. Methods/design This is an investigator-initiated, prospective, randomized, open, blinded endpoint (PROBE) controlled trial. A total of 1104 patients with stage IB3 and IIA2 cervical cancer will be enrolled over a period of 3 years. Patients are randomized (1:1) to either the laparoscopic RH or the abdominal RH group. Patients will then be followed up for at least 5 years. The primary end point will be 5-year overall survival, and secondary endpoints include 5-year progression-free survival, recurrence, and quality of life measurements. Discussion The study results will provide more convincing evidence-based information for stages IB3 and IIA2 cervical cancer patients and their gynecologic cancer surgeons in their choice of surgical method. Trial registration ClinicalTrials.gov, NCT04939831 , retrospectively registered on 25 June 2021.

Purpose: The aim of the present study was to test the hypothesis that recovery sleep could counteract the detrimental effects of sleep deprivation (SD) on male rats’ fertility. Materials and Methods: Twenty-two rats were housed in groups of six per cage with unrestricted access to food and water in a room. The modified multiple platform method was used to induce SD in rats over a 96-hour period. We examined the effect of SD on semen quality, reproductive hormones, and testicular histology in adult male rats. Then, we investigated the effect of 7 days recovery sleep on impaired reproductive function induced by SD. Results: After the acclimation period, 22 rats were randomly separated into three experimental groups (SD, recovery sleep, and the control groups). Ninety-six hours of SD resulted in a significant decrease in sperm motility (24.33±10.93 vs . 48.20±8.55, p

The construction of community elderly care facilities (CECF) is pivotal for promoting healthy aging and “aging in place” for older people. This study focuses on the low utilization rates of community elderly care facilities in the Dongcheng and Xicheng Districts, core areas of Beijing. The explainable machine learning method is used to analyze data across three dimensions: the elderly’s individual attributes, characteristics of the community elderly care station (CECS), and features of the built environment around CECS and subdistrict, to identify the important factors that influence the usage frequency of overall CECS and its different functional spaces, and also the correlation between factors and usage frequency of CECS. It shows that the most important factors are the features of CSCF, including the degree of space acceptance and satisfaction with services provided, which influence the usage frequency of nine functional spaces (R2 ≥ 0.68) and overall (R2 = 0.56). In addition, older people’s individual factors, such as age and physical condition, significantly influence the usage of specific spaces such as rehabilitation therapy rooms and assistive bathing rooms. The influence of built environment characteristics is relatively low, with factors such as the density of bus stations and housing prices within the subdistrict and the mean distance from CECF to the nearest subway stations being more important. These findings provide a reference for the construction of indoor environments, management of service quality, and optimal site selection for future community elderly care facilities.

Climate warming hampers grassland growth, particularly in dryland regions. To preserve robust grassland growth and ensure the resilience of grassland in these arid areas, a comprehensive understanding of the interactions between vegetation and climate is imperative. However, existing studies often analyze climate–vegetation interactions using concurrent vegetation indices and meteorological data, neglecting time-lagged influences from various determinants. To address this void, we employed the random forest machine learning method to predict the grassland NDVI (Normalized Difference Vegetation Index) in Asian drylands (including five central Asia countries, the Republic of Mongolia, and Parts of China) from 2001 to 2020, incorporating time-lag influences. We evaluated the prediction model’s performance using three indexes, namely the coefficient of determination (R2), root-mean-square error (RMSE), and Mean Absolute Error (MAE). The results underscore the superiority of the model incorporating time-lag influences, demonstrating its enhanced capability to capture the grassland NDVI in Asian drylands (R2 ≥ 0.915, RMSE ≤ 0.033, MAE ≤ 0.019). Conversely, the model without time-lag influences exhibited relatively poor performance, notably inferior to the time-lag-inclusive model. The latter result aligns closely with remote sensing observations and more accurately reproduces the spatial distributions of the grassland NDVI in Asian drylands. Over the study period, the grassland NDVI in Asian drylands exhibited a weak decreasing trend, primarily concentrated in the western region. Notably, key factors influencing the grassland NDVI included the average grassland NDVI in the previous month, total precipitation in the current month, and average soil moisture in the previous month. This study not only pioneers a novel approach to predicting grassland growth but also contributes valuable insights for formulating sustainable strategies to preserve the integrity of grassland ecosystems.

Compared to traditional UHPC, UHPC-CA exhibits higher compressive strength and elastic modulus, but also renders the prediction of compressive strength more complicated. In order to reduce the error and training time, a Machine Learning method is investigated to predict the compressive strength of UHPC-CA, including aggregate strength for the first time. Firstly, a series of cubic compressive strength experiments are conducted to testify the difference between UHPC-CA and traditional UHPC, which also provide 35 data points for the UHPC-CA database. Additionally, 213 data points are added to the database from the literature review to complete the dataset. This database was employed to train and validate six ML models: BR, SVM, MLP-ANN, DT, KNN and RF. The findings suggest that all the employed models demonstrate satisfactory predictive capability regarding the cubic compressive strength of UHPC-CA. Notably, the RF model outperforms others, exhibiting an R2 value of 0.853. Feature sensitivity analysis identified the volume fraction of steel fibers, water reducer amount, and silica fume content as the three most influential factors affecting the compressive strength of UHPC-CA. Finally, the interaction among the content of aggregate, the strength of aggregate, and the volume fraction of steel fibers was analyzed. The recommended inclusion levels for the aggregate range from 0.3 to 0.6, for the fiber from 2% to 2.5%, with a minimum aggregate strength of 150 MPa.

At a new historical crossroads, China’s Belt and Road Initiative (BRI) is a major measure to coordinate sustained economic growth at home, maintain a peaceful and stable environment in the surrounding region, and foster regional economic and commercial cooperation in the region. The BRI, a major initiative, can not only drive national economic growth but also has far-reaching significance for promoting world economic prosperity and peace. The national plan clearly pointed out that in the face of the new international pattern and situation, China should improve its new opening-up system and promote construction for the BRI in the future. In this context, research on the benefits and security issues for foreign investment under the BRI has become an important topic. This work combines it with artificial intelligence to propose a neural network (IPSO-DBN) for evaluating the effectiveness and safety of Chinese outbound investment. First, this work applies DBN to evaluate the benefits and security for outbound investment under the BRI. This work introduces a policy of linearly decreasing weights and an adaptive learning factor into the PSO algorithm to construct IPSO. Then, the IPSO is utilized to optimize initial weights for DBN, and the problem of initial weights are random and easy to fall local optimal solution is improved to construct IPSO-DBN. Second, this work puts forward a series of suggestions for Chinese enterprises to invest abroad in response to the current investment problems under the BRI Third, this work has carried out various experiments on IPSO-DBN and Chinese enterprises’ foreign investment proposals, and the experimental results have verified the feasibility of the method designed in this work.

BackgroundSeveral observational studies have reported the correlation between gut microbiota and the risk of erectile dysfunction (ED). However, the causal association between them remained unestablished owing to intrinsic limitations, confounding factors, and reverse causality. Therefore, the two-sample Mendelian randomization (MR) study was performed to determine the causal effect of gut microbiota on the risk of ED.MethodsThe MR analysis utilized the publicly available genome-wide association study (GWAS) summary-level data to explore the causal associations between gut microbiota and ED. The gut microbiota data were extracted from the MiBioGen study (N = 18,340), and the ED data were extracted from the IEU Open GWAS (6,175 ED cases and 217,630 controls). The single nucleotide polymorphisms (SNPs) served as instrumental variables (IVs) by two thresholds of P-values, the first P-value setting as

Oxide dispersion strengthened (ODS) ferritic steel is a potential structural material for fast neutron reactor and fusion reactor application. In this study, a new Fe–13Cr–2W-0.4Ti-0.6Zr/0.35Y2O3 ODS ferritic steel was designed and fabricated through hot isostatic pressing. Results show that the ODS ferritic steel consists of highly dispersive nano-oxide particles, identified as Y2(Ti0.4Zr0.6)2O7 and Y4Zr3O12, with average particle size of 5.34 nm and particle distribution density of 4.2 × 1023 m−3. In addition, heterogeneous coarse/ultrafine grains (CGs/UFGs) structure is also achieved in the matrix. The Fe–13Cr–2W-0.4Ti-0.6Zr/0.35Y2O3 ODS ferritic steel exhibits superior mechanical properties at both room temperature (σb = 1208 MPa, δ = 14%) and high temperature (σb, 700°C = 382 MPa, δ700°C = 32%). The high strength is mainly due to the synergistic effect of particle dispersion strengthening and back stress strengthening, while the good ductility can be attributed to the excellent deformation ability of the coarse grains and the back stress hardening effect induced by the heterogeneous CGs/UFGs structure.

With the continuous evolution of network attack methods, traditional security mechanisms based solely on data content encryption are no longer sufficient to ensure data security and privacy. Traffic analysis techniques, such as website fingerprinting (WFP) attacks, can effectively classify and extract information without cracking encrypted content, which enables the analysis of user behavior. The splitting of traffic in heterogeneous network resources has emerged as a new defense mechanism to disrupt traffic characteristics, however current research has not achieved a balance between security and efficiency. To address this challenge, we propose a path-weighted random (PWR) scheduling mechanism based on path quality to construct a time-varying path selection probability distribution function, that disrupts traffic characteristics and achieves resistance to traffic analysis. Furthermore, we incorporate order scheduling based on data arrival estimation to balance the transmission efficiency in heterogeneous networks. Our proposed solution was experimentally validated in real-world settings, demonstrating superior performance in terms of both security and efficiency.

Abstract Background With rapid urbanization, the urban environment, especially the neighborhood environment, has received increasing global attention. However, a comprehensive overview of the association between neighborhood risk factors and human health remains unclear due to the large number of neighborhood risk factor–human health outcome pairs. Method On the basis of a whole year of panel discussions, we first obtained a list of 5 neighborhood domains, containing 33 uniformly defined neighborhood risk factors. We only focused on neighborhood infrastructure-related risk factors with the potential for spatial interventions through urban design tools. Subsequently, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic meta-review of 17 infrastructure-related risk factors of the 33 neighborhood risk factors (e.g., green and blue spaces, proximity to major roads, and proximity to landfills) was conducted using four databases, Web of Science, PubMed, OVID, and Cochrane Library, from January 2000 to May 2021, and corresponding evidence for non-communicable diseases (NCDs) was synthesized. The review quality was assessed according to the A MeaSurement Tool to Assess Systematic Reviews (AMSTAR) standard. Results Thirty-three moderate-and high-quality reviews were included in the analysis. Thirteen major NCD outcomes were found to be associated with neighborhood infrastructure-related risk factors. Green and blue spaces or walkability had protective effects on human health. In contrast, proximity to major roads, industry, and landfills posed serious threats to human health. Inconsistent results were obtained for four neighborhood risk factors: facilities for physical and leisure activities, accessibility to infrastructure providing unhealthy food, proximity to industry, and proximity to major roads. Conclusions This meta-review presents a comprehensive overview of the effects of neighborhood infrastructure-related risk factors on NCDs. Findings on the risk factors with strong evidence can help improve healthy city guidelines and promote urban sustainability. In addition, the unknown or uncertain association between many neighborhood risk factors and certain types of NCDs requires further research.

The fracture extension of rock bridges between structural surfaces in different parts of the slope leads to the damage of the anti-dipping laminated rock slope. In order to study the controlling effect of fracture extension of non-penetrating fractures in the slope on the evolution of the slope, the centrifugal model test of the anti-dipping laminated rock slope containing multiple groups of non-penetrating fractures is carried out with the right shoulder of the Miaowei Hydropower Station as the geological prototype to analyze the deformation characteristics of non-penetrating fractures in the anti-dipping laminated rock slope. The results show that the fractures of rock formations containing non-penetrating fractures within the slope finally show five types of fracture patterns, including inter-fracture bridge penetration, penetration between gently dipping fractures and the upper rock layer, penetration between steeply dipping fractures and the lower rock layer, penetration between steeply dipping fractures and the port of gently dipping fractures, and fracture of rock layers at non-fractures, with inter-fracture bridge penetration as the main fracture pattern. Based on fracture mechanics and combined with the principle of fracture superposition, it is found that the instability factor of the rock layer at the main fracture section is the smallest at 1/3 of the slope height and gradually becomes larger towards the foot and both sides of the slope top, while the stress intensity factor gradually decreases from 1/3 of the slope height to the foot and the top of the slope. The fracture extension of cracks controls the slope evolution and is greatly influenced by the crack rate and the tip stress field around the cracks. At the early stage of slope evolution, the compression and settlement of the back edge of the slope and the compression and shear damage of the local rock cracks are the main features, and the dip angle of the rock layers changes greatly, showing a trend of becoming larger from the upper part of the slope to the lower part of the slope. At the middle of the evolution, the fracture extension of the back edge of the slope forms the main fracture surface, and the angle of the rock layers in the middle and upper part of the slope changes greatly. At the end of the evolution, the number of fractures remains stable, and the main deformation feature is characterized by the redistribution of the location of fractured rock layers, the formation of secondary fracture surfaces, further compression between broken rock layers, and further destabilization of the slope body.

Abstract Background CONSTANS (CO) and CONSTANS-LIKE (COL) transcription factors have been known to regulate a series of cellular processes including the transition from the vegetative growth to flower development in plants. However, their role in regulating fruit yield in tomato is poorly understood. Result In this study, the tomato ortholog of Arabidopsis CONSTANS, SlCOL1, was shown to play key roles in the control of flower development and fruit yield. Suppression of SlCOL1 expression in tomato was found to lead to promotion of flower and fruit development, resulting in increased tomato fruit yield. On the contrary, overexpression of SlCOL1 disturbed flower and fruit development, and significantly reduced tomato fruit yield. Genetic and biochemical evidence indicated that SlCOL1 controls inflorescence development by directly binding to the promoter region of tomato inflorescence-associated gene SINGLE-FLOWER TRUSS (SFT) and negatively regulating its expression. Additionally, we found that SlCOL1 can also negatively regulate fruit size in tomato. Conclusions Tomato SlCOL1 binds to the promoter of the SFT gene, down-regulates its expression, and plays a key role in reducing the fruit size.

Abstract Background Glucose cotransporter (SGLT) 2 suppression provides potent renal protective effect during diabetic kidney disease (DKD). This work aimed to explore how empagliflozin (EMPA, the selective and strong inhibitor of SGLT2) affected renal lipid deposition among patients undergoing type 2 diabetes mellitus (T2DM), a T2DM mouse model and human renal proximal tubular epithelial (HK-2) cells. Methods This work divided subjects as 3 groups: non-diabetic volunteers, patients treated with metformin and those treated with metformin plus EMPA. In an in vivo study, EMPA was adopted for treating db/db mice that were raised with the basal diet or the high-advanced glycation end products (AGEs) diet. In addition, AGEs and/or EMPA was utilized to treat HK-2 cells in vitro. Results Results showed that diabetic patients treated with metformin plus EMPA had lower AGEs levels and renal fat fraction (RFF) than those treated with metformin. Moreover, a significant and positive association was found between AGEs and RFF. Results from the basic study showed that EMPA decreased cholesterol level, tubular lipid droplets, and protein levels related to cholesterol metabolism in AGEs-mediated HK-2 cells, kidneys of db/db mice and those fed with the high-AGEs diet. Additionally, EMPA decreased AGEs levels in serum while inhibiting the expression of receptor of AGEs (RAGE) in vitro and in vivo. Conclusion EMPA inhibited the AGEs-RAGE pathway, thereby alleviating diabetic renal tubular cholesterol accumulation.

Abstract Background Soybean is one of the four major crops in China. The occurrence of viruses in soybean causes significant economic losses. Results In this study, the soybean leaves from stay-green plants showing crinkle were collected for metatranscriptomic sequencing. A novel geminivirus, tentatively named soybean geminivirus A (SGVA), was identified in soybean stay-green plants. Sequence analysis of the full-length SGVA genome revealed a genome of 2762 nucleotides that contain six open reading frames. Phylogenetic analyses revealed that SGVA was located adjacent to the clade of begomoviruses in both the full genome-based and C1-based phylogenetic tree, while in the CP-based phylogenetic tree, SGVA was located adjacent to the clade of becurtoviruses. SGVA was proposed as a new recombinant geminivirus. Agroinfectious clone of SGVA was constructed. Typical systemic symptoms of curly leaves were observed at 11 dpi in Nicotiana benthamiana plants and severe dwarfism was observed after 3 weeks post inoculation. Expression of the SGVA encoded V2 and C1 proteins through a potato virus X (PVX) vector caused severe symptoms in N. benthamiana. The V2 protein inhibited local RNA silencing in co-infiltration assays in GFP transgenic 16C N. benthamiana plants. Further study revealed mild symptoms in N. benthamiana plants inoculated with SGVA-ZZ V2-STOP and SGVA-ZZ V2-3738AA mutants. Both the relative viral DNA and CP protein accumulation levels significantly decreased when compared with SGVA-inoculated plants. Conclusions This work identified a new geminivirus in soybean stay-green plants and determined V2 as a pathogenicity factor and silencing suppressor.

Extensive industrial and agricultural emissions of reactive nitrogen (N) have led to severe N deposition and negative impacts on biodiversity. Acer catalpifolium is a critically endangered plant mainly distributed in N deposition hotspot of China, the influence of N deposition on morphological and physiological function of this species remains unclear. Therefore, a simulation experiment was conducted, wherein A. catalpifolium seedlings were subjected to different N deposition levels (0, 30, 60, 100, 150, and 200 kg N ha-1 y-1). The effects of N deposition on the morphological, photosynthesis, and fluorescence characteristics of A. catalpifolium were investigated. Results showed that height, biomass, crown, and basal diameter of A. catalpifolium were improved by N deposition, while vegetative growth was inhibited after the N input excess 100 kg N ha-1 y-1. Leaf gas exchange indices, photosynthetic light, CO2 response curve, fluorescence parameters and chlorophyll content were also improved by N addition but impeded by high levels of N deposition. In conclusion, the responses of A. catalpifolium to different levels of N deposition suggested that low and moderate N levels provided the necessary nutrient supply for plant growth. This study has major implications for the conservation and population recovery of A. catalpifolium and biodiversity protection in certain regions.

We have proposed, for the first time, an OpenCL implementation for the all-electron density-functional perturbation theory (DFPT) calculations in FHI-aims, which can effectively compute all its time-consuming simulation stages, i.e., the real-space integration of the response density, the Poisson solver for the calculation of the electrostatic potential, and the response Hamiltonian matrix, by utilizing various heterogeneous accelerators. Furthermore, to fully exploit the massively parallel computing capabilities, we have performed a series of general-purpose graphics processing unit (GPGPU)-targeted optimizations that significantly improved the execution efficiency by reducing register requirements, branch divergence, and memory transactions. Evaluations on the Sugon supercomputer have shown that notable speedups can be achieved across various materials.

Cadmium (Cd) contamination is a growing concern, as exposure to the metal has been shown to inhibit plant growth and development. However, soil Cd pollution in China is typically mild, and thus its concentration often does not impede plant growth. On the other hand, it is unknown if increased plant growth impacts Cd uptake, movement, and accumulation. Here, we analyzed the relationship between Cd accumulation in 31 tomato cultivars and the impact on specific growth parameters in mild Cd contamination. The results showed that there are variations in the Cd distribution among the 31 tomato cultivars studied. There were higher Cd concentrations in shoots of the cultivar ‘SV3557’, whereas root Cd concentrations were the lowest. The roots of the cultivar ‘HF11’ recorded the lowest Cd content but had higher Cd content in the shoots. The Cd concentration in roots and shoots was not related to root length, plant height, and root weight. However, Cd accumulation in the shoots was markedly promoted by root length and plant height, and Cd accumulation in the roots was promoted by root weight. Subsequently, we imposed Cd on four selected tomato cultivars to ascertain their accumulation in the shoot tissues. The results revealed that, among the four tomato cultivars, Cd was highly accumulated in the leaves, followed by the stems, and the fruits (leaf > stem > fruit). When identifying significant loci associated with Cd accumulation in tomato plants, it is crucial to find a suitable indicator to assess the plant’s ability to accumulate Cd. Thus, Cd concentration in shoots can be used as a reliable proxy for evaluating tomato plants’ capacity for Cd accumulation. This study serves as a valuable reference in guiding the selection of such an index.

Food self-sufficiency has long been regarded as essential for understanding and managing urban and regional food systems; however, few studies have examined the food self-sufficiency of megacity regions within a comprehensive framework that distinguishes different types of agricultural land (i.e., arable land, horticultural landscapes, and waters). To fill these gaps, we took the Pearl River Delta as a case study and quantified the foodsheds of different types of agricultural land by calculating the land footprint of food consumption. On this basis, food self-sufficiency is defined as the ratio of available and required agricultural area for regional food demand. The results indicated that the self-sufficiency level provided by the arable land in the Pearl River Delta is low and cannot realize self-sufficiency at the regional and urban levels. The horticultural landscapes can provide self-sufficiency at the regional level, whereas the regions with water cannot, as their foodsheds extend over the boundary of the Pearl River Delta. For arable land, establishing a localized regional food system requires expanding the foodshed size. These findings provide evidence that megacity regions may face increasing difficulties in achieving self-sufficiency in the near future. This research can improve policymakers’ understanding of the sustainability and resilience of regional food systems in megacity regions.

Tomato (Solanum lycopersicum) is widely cultivated and is one of the most important vegetable crops in the world, with great economic significance [...]

Sweet potatoes (Ipomoea batatas (L.) Lam.) are a widely cultivated member of the Convolvulaceae family. Despite intensive agricultural interest, the metabolic determinants of sweet potato quality remain poorly understood owing to a lack of reliable or systematic sweet potato metabolite analyses. This study aimed to reveal the mechanism of flavonoid biosynthesis using widely targeted metabolomics and qRT-PCR analysis of white (S19) and yellow (BS) sweet potatoes. We found that the PAL, C4H, 4CL, CHS, CHI, IFS, F3H, F3’H, DFR, ANS, and ANR genes were differentially expressed in BS. Upregulation of PAL, C4H, 4CL, and CHS led to the accumulation of large amounts of chalcone, which is highly expressed in yellow flesh, resulting in the yellow color of BS. In S19, the high expression of FLS and the low expression of DFR inhibited pigment accumulation, while the low expression of CHS also inhibited flavonoid synthesis, ultimately leading to the white color. In conclusion, this study identified the main differentially expressed genes and their metabolites in the flavonoid biosynthesis pathway, and preliminarily elucidated the mechanism underlying the different flesh colors in sweet potato, thus providing new insights into the composition and abundance of metabolites in sweet potatoes with different-colored flesh.

Oil is an important strategic material and civil energy. Accurate prediction of oil consumption can provide basis for relevant departments to reasonably arrange crude oil production, oil import and export, and optimize the allocation of social resources. Therefore, a new grey model FENBGM(1,1) is proposed to predict oil consumption in China. Firstly, the grey effect of the traditional GM(1,1) model was transformed into a quadratic equation. Four different parameters were introduced to improve the accuracy of the model, and the new initial conditions were designed by optimizing the initial values by weighted buffer operator. Combined with the reprocessing of the original data, the scheme eliminates the random disturbance effect, improves the stability of the system sequence, and can effectively extract the potential pattern of future development. Secondly, the cumulative order of the new model was optimized by fractional cumulative generation operation. At the same time, the smoothness rate quasi-smoothness condition was introduced to verify the stability of the model, and the particle swarm optimization algorithm (PSO) was used to search the optimal parameters of the model to enhance the adaptability of the model. Based on the above improvements, the new combination prediction model overcomes the limitation of the traditional grey model and obtains more accurate and robust prediction results. Then, taking the petroleum consumption of China's manufacturing industry and transportation, storage and postal industry as an example, this paper verifies the validity of FENBGM(1,1) model, analyzes and forecasts China's crude oil consumption with several commonly used forecasting models, and uses FENBGM(1,1) model to forecast China's oil consumption in the next four years. The results show that FENBGM(1,1) model performs best in all cases. Finally, based on the prediction results of FENBGM(1,1) model, some reasonable suggestions are put forward for China's oil consumption planning.

Cell cycle regulation plays a critical role in plant growth and development. In this study, the role of a tomato cell cycle gene SlCycB1 has been characterized. Expression analysis revealed that SlCycB1 was mostly expressed in stem, root, and leaves, with relative lower expression in flower and fruit. Tomato plants overexpressing SlCycB1 exhibited a reduction in cell number and increased cell size leading to the growth retardation. Furthermore, yeast two-hybrid analysis and bimolecular fluorescence complementation revealed that SlCycB1 interacted with histone H3.2, an essential component of the nucleosome. Histone H3.2 was transcriptionally up-regulated in the SlCycB1 overexpressing tomato lines. Furthermore, the overexpression of histone H3.2 in transgenic plants showed similar phenotypes to SlCycB1 overexpressing lines. Based on these findings, we concluded that SlCycB1 overexpression altered tomato architecture in association with histone H3.2.

Abstract Background A retrospective study and a randomized controlled trial published in a high quality journal in late 2018 have shown that laparoscopic radical hysterectomy (RH) was associated with worse survival than abdominal RH among patients with early stage cervical cancer. Radical hysterectomy in cervical cancer has been a classic landmark surgery in gynecology, therefore this conclusion is pivotal. The current trial is designed to reconfirm whether there is a difference between laparoscopic RH and abdominal RH in cervical cancer (stage IA1 with LVSI, IA2) patient survival under stringent operation standards and consistent tumor-free technique. This paper reports the rationale, design, and implementation of the trial. Methods This is an investigator-initiated, prospective, randomized, open, blinded endpoint (PROBE) controlled trial. A total of 690 patients with stage IA1 (with intravascular), and IA2 cervical cancer will be enrolled over a period of three years. Patients are randomized (1:1) to either the laparoscopic RH or the abdominal RH group. Patients will then be followed-up for at least five years. The primary endpoint will be 5-year progression-free survival. Secondary endpoints will include 5-year overall survival rates, recurrence rates, operation time, intraoperative blood loss, surgery-related complications, and quality of life. Discussion The results of the trial will provide valuable evidence for guiding clinical decision of choosing appropriate treatment strategies for stage IA1 (LVSI) and stage IA2 cervical cancer patients. Trial registration ClinicalTrials.gov ( NCT04934982 , Registered on 22 June 2021).

Abstract Background A retrospective study and a randomized controlled trial published in late 2018 have shown that laparoscopic radical hysterectomy (RH) was associated with worse survival than abdominal RH among patients with early-stage cervical cancer. Radical hysterectomy in cervical cancer has been a classic landmark surgery in gynecology; therefore, this conclusion is pivotal. The current trial is designed to reconfirm whether there is a difference between laparoscopic RH and abdominal RH in cervical cancer (stages IB1, IB2, and IIA1) patient survival under stringent operation standards and consistent surgical oncologic principles. Methods/design This is an investigator-initiated, Prospective, Randomized, Open, Blinded End-point (PROBE)-controlled non-inferiority trial. A total of 780 patients with stage IB1, IB2, and IIA1 cervical cancer will be enrolled over a period of 3 years. Patients are randomized (1:1) to either the laparoscopic RH or the abdominal RH group. Patients will then be followed up for at least 5 years. The primary endpoint will be 5-year progression-free survival, and secondary endpoints include 5-year overall survival, recurrence, and quality of life measurements. Discussion The debate on laparoscopic versus abdominal RH is still ongoing, and high-quality evidences are needed to guide clinical practice. The study results will provide more convincing evidence-based information for early-stage cervical cancer patients and their gynecologic cancer surgeons in their choice of surgical method. Trial registration ClinicalTrials.gov NCT04929769 . Registered on 18 June 2021