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This scholarly debate critically examines the role of government policies in promoting women's entrepreneurship in China. The discussion focuses on various dimensions, including legal frameworks, financial support programs, educational initiatives, networking platforms, gender mainstreaming efforts, mentorship programs, market access initiatives, business incubation programs, research and data collection efforts, and international collaborations. By analyzing these dimensions, we aim to understand their evolution, objectives, outcomes, and impacts on women entrepreneurs' activities and business performance in China. The debate highlights the strengths and weaknesses of these policies, exploring areas for improvement and future research to foster an inclusive and supportive entrepreneurial ecosystem for women in China.

Oncogene amplification on extrachromosomal DNA (ecDNA) drives the evolution of tumours and their resistance to treatment, and is associated with poor outcomesfor patients with cancer1-6. At present, it is unclear whether ecDNA is a later manifestation of genomic instability, or whether it can be an early event in the transition from dysplasia to cancer. Here, to better understand the development of ecDNA, we analysed whole-genome sequencing (WGS) data from patients with oesophageal adenocarcinoma (EAC) or Barrett's oesophagus. These data included 206 biopsies in Barrett's oesophagus surveillance and EAC cohorts from Cambridge University. We also analysed WGS and histology data from biopsies that were collected across multiple regions at 2 time points from 80 patients in a case-control study at the Fred Hutchinson Cancer Center. In the Cambridge cohorts, the frequency of ecDNA increased between Barrett's-oesophagus-associated early-stage (24%) and late-stage (43%) EAC, suggesting that ecDNA is formed during cancer progression. In the cohort from the Fred Hutchinson Cancer Center, 33% of patients who developed EAC had at least one oesophageal biopsy with ecDNA before or at the diagnosis of EAC. In biopsies that were collected before cancer diagnosis, higher levels of ecDNA were present in samples from patients who later developed EAC than in samples from those who did not. We found that ecDNAs contained diverse collections of oncogenes and immunomodulatory genes. Furthermore, ecDNAs showed increases incopy number and structural complexity at more advanced stages of disease. Our findings show that ecDNA can develop early in the transition from high-grade dysplasia to cancer, and that ecDNAs progressively form and evolve under positive selection.

Real-time detection and timely treatment of floating objects on rivers, lakes and reservoirs is very essential to protect water environment and maintain the safety of navigation and water projects. YOLOv5, as a one-stage object detection solution, is very suitable for real-time floating object detection. However, it suffers from the problem of the false detection and missed detection of floating objects especially of small floating objects. In this paper, we conducts a series of improvements on YOLOv5 to alleviate the problem. Concretely, we propose a hybrid attention mechanism supporting the interaction among channels over a long distance while preserving the direct correspondence between channels and their weights. Base on the attention mechanism, we propose an adaptive feature extraction module to capture the feature information of objects in the case of the feature loss caused by downsampling operations. Based on the attention mechanism and dilated encoder, we construct a feature expression enhancement module to cover large objects while not losing small objects in the same certain scale range. We also add a detection layer for small objects to improve the performance in detecting small floating objects. The experiments on the data set verify the usefulness and effectiveness of our work.

Liping Mai,1,&ast; Guodong He,1,&ast; Jing Chen,1 Jiening Zhu,1 Shaoxian Chen,1 Hui Yang,1 Mengzhen Zhang,1 Xinghua Hou,1 Miaola Ke,2 Xiaohong Li1,3 1Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People’s Republic of China; 2Department of Blood Transfusion, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 3Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiaohong Li, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People’s Republic of China, Email lixiaohong@gdph.org.cn Miaola Ke, Department of Blood Transfusion, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People’s Republic of China, Email keml@sysucc.org.cnBackground: Profilin-1 (PFN1) regulates the dynamic balance of actin and plays an important role in cell functions as a hub protein in signaling molecule interaction networks. Dysregulation of PFN1 is related to pathologic kidney diseases. Diabetic nephropathy (DN) was recently reported as an inflammatory disorder, however, the molecular mechanisms of PFN1 in DN remain unclear. Therefore, the present study was conducted to explore the molecular and bioinformatic characteristics of PFN1 in DN.Methods: Bioinformatics analyses were performed on the chip of database in DN kidney tissues. A cellular model of DN was established in human renal tubular epithelial cells (HK-2) induced by high glucose. The PFN1 gene was overexpressed or knocked-down to investigate its function in DN. Flow cytometry was used to detect cell proliferation and apoptosis. PFN1 and proteins in the related signaling pathways were evaluated by Western blotting.Results: The expression of PFN1 was significantly increased in DN kidney tissues (P < 0.001) and was correlated with a high apoptosis-associated score (Pearson’s correlation = 0.664) and cellular senescence-associated score (Pearson’s correlation = 0.703). PFN1 protein was mainly located in cytoplasm. Overexpression of PFN1 promoted apoptosis and blocked the proliferation of HK-2 cells treated with high levels of glucose. Knockdown of PFN1 led to the opposite effects. Additionally, we found that PFN1 was correlated with the inactivation of the Hedgehog signaling pathway in HK-2 cells treated with high levels of glucose.Conclusion: PFN1 might play an integral role in the regulation of cell proliferation and apoptosis during DN development by activating the Hedgehog signaling pathway. This study provided molecular and bioinformatic characterizations of PFN1, and contributed to the understanding of the molecular mechanisms leading to DN.Keywords: PFN1, diabetic nephropathy, bioinformatic characterization, Hedgehog signaling pathway, apoptosis

Yi Liang,1,2 Xiaohong Li,1 Fang Wang,2 Zongting Yan,2 Yuhuan Sang,2 Yuan Yuan,2 Yun Qin,1 Xuefei Zhang,1 Mei Ju2 1Health Management Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China; 2Nursing College, Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of ChinaCorrespondence: Mei Ju; Xiaohong Li, Email 593576753@qq.com; 1848922774@qq.comBackground: Thyroid nodules (TNs) are among the most common thyroid lesions, and rates of these nodules have risen over the past three decades. As the majority of TN patients remain asymptomatic when these nodules are in the early stages of development, malignant nodules may continue to develop into thyroid cancer when not detected. As such, early screening and diagnosis-based strategies represent the most promising means of preventing or treating TNs and associated cancers. The present study was thus developed to explore TN prevalence among individuals in Luzhou, China.Methods: Here, thyroid ultrasonography and metabolic-related indicators from 45,023 adults undergoing routine physical examinations in the Health Management Center of a large Grade A hospital in Luzhou over the last three years were retrospectively reviewed in an effort to identify factors associated with TN risk and the detection of these nodules through univariate and multivariate logistic regression analyses.Results: In total, 13,437 TNs were detected in these 45,023 healthy adults for an overall 29.8% detection rate. This TN detection rate rose with age, and multivariate logistic regression analyses revealed that independent risk factors associated with TNs included greater age (≥ 31 years old), female (OR = 2.283, 95% CI: 2.177– 2.393), central obesity (OR = 1.115, 95% CI: 1.051– 1.183), impaired fasting glucose (OR = 1.203, 95% CI: 1.063– 1.360), overweight status (OR = 1.085, 95% CI: 1.026– 1.147), and obesity (OR = 1.156, 95% CI: 1.054– 1.268), while low BMI was a protective factor associated with lower rates of TN incidence (OR = 0.789, 95% CI: 0.706– 0.882). When results were stratified by gender, impaired fasting glucose was not an independent predictor of TN risk among males, while high LDL levels were an independent predictor of TNs among females, and other risk factors were not significantly changed.Conclusion: TN detection rates were high among adults in Southwestern China. Female, elderly individuals, individuals exhibiting central obesity, and those with high levels of fasting plasma glucose are more likely to develop TN.Keywords: thyroid nodules, detection rate, influence factors

The number of women entrepreneurs in China has increased rapidly with the development of China‘s new economy. These entrepreneurs. This study seeks to identify the key patterns in the entrepreneurial development of woman entrepreneur in China that influence their career paths and success. We study the entrepreneurial development of women entrepreneurs in China through historical review. Future research using a larger and perhaps more representative sample is encouraged to increase generalizability of the outcome. This study contributes to a better understanding of the role of woman entrepreneur in the economic in China, and advances the growing literature on this subject.

Observations have shown that some filaments appear and disappear in the H$\alpha$ line wing images periodically. There have been no attempts to model these "winking filaments" thus far. The evaporation--condensation mechanism is widely used to explain the formation of solar filaments. Here, we demonstrate, for the first time, how multi-dimensional evaporation--condensation in an arcade setup invariably causes a stretching of the magnetic topology. We aim to check whether this magnetic stretching during cyclic evaporation--condensation could reproduce a winking filament. We used our open-source code MPI-AMRVAC to carry out 2D magnetohydrodynamic simulations based on a quadrupolar configuration. A periodic localized heating, which modulates the evaporation--condensation process, was imposed before, during, and after the formation of the filament. Synthetic H$\alpha$ and 304 \r{A}, images were produced to compare the results with observations. For the first time, we noticed the winking filament phenomenon in a simulation of the formation of on-disk solar filaments, which was in good agreement with observations. Typically, the period of the winking is different from the period of the impulsive heating. A forced oscillator model explains this difference and fits the results well. A parameter survey is also done to look into details of the magnetic stretching phenomenon. We found that the stronger the heating or the higher the layer where the heating occurs, the more significant the winking effect appears., Comment: 14 pages, 6 figures. Accepted by A&A

Background: Cyclodextrins (CDs) are commonly used host molecules of inclusion complex. However, due to the lack of a sensitive determination method, the absorption process of CDs remains unclear. Objective: In this study, an oleuropein (OL) inclusion complex employing hydroxylpropyl-betacyclodextrin (HP-beta-CD) as host molecules was prepared and the formation of inclusion complex was ascertained by FT-IR and DSC. Spectrophotometry was established for the determination of HP-beta-CD, based on the fact that the absorbance of phenolphthalein (PP) decreased in the presence of HP-beta-CD. Methods: The assay conditions were optimized to augment the method sensitivity. Molecular docking was employed to verify the strong interaction between PP and HP-beta-CD. The permeation process of free HP-beta-CD, HP-beta-CD of OL inclusion complex, free OL, and OL in the inclusion complex, was examined using an in vitro mouse small intestine model. Results: Though HP-beta-CD possessed a hydrophilic outside shell, it could permeate through the mouse small intestine quickly with a cumulative permeating amount of over 90% in 2 h. Free HPbeta- CD, the host molecule HP-beta-CD, and guest molecule OL of the inclusion complex exhibited consistent permeating profiles across the mouse small intestine. Conclusion: The approach for the determination of HP-beta-CD was accurate and precise (%RSD=2.98).

Additional file 7: Table S4. The effectiveness of primary and secondary outcome within each group.

Additional file 1. Figure S1 Detection of transcript level of OsHAD3 in transgenic plants. Figure S2 Detection of transcript levels of other family members in WT and transgenic plants. Table S1 Primers used in this study.

Additional file 1: Supplement Table 1. Fetal adverse outcome by severity of HDP during pregnancy across four subtypes.

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Additional file 4: Table S1. The classification and focus of the 30 articles.

Non-Hermitian skin effect (NHSE), where huge modes are accumulated at system boundaries, offers new possibility for steering the transport and localization of light by non-Hermiticity. Here, the direction-dependent NHSE is proposed in a photonic waveguide array via spatially complex modulation, where the skin modes tend to localize at different boundaries for opposite propagation directions. We utilize complex modulation to arouse anisotropic coupling between symmetric and anti-symmetric modes in multimode waveguides and further match the refractive index of adjacent waveguides. In this way, a non-Hermitian Su–Schrieffer–Heeger (SSH) lattice that supports NHSE is achieved. In particular, the anisotropic coupling is highly unidirectional. For forward direction, it allows mode conversion from antisymmetric modes to symmetric modes. However, the process is forbidden for backward direction. As a result, the skin modes tend to locate at lower boundary for forward propagation but the localization direction is reversed for backward injection. Our results provide a potential platform to investigate NHSE on photonic chips and may find applications in non-magnetic unidirectional devices.

ObjectiveAs an important biomarker to reflect tumor cell proliferation and tumor aggressiveness, Ki-67 is closely related to the high early recurrence rate and poor prognosis, and pretreatment evaluation of Ki-67 expression possibly provides a more accurate prognosis assessment and more better treatment plan. We aimed to develop a nomogram based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) combined with T1 mapping to predict Ki-67 expression in hepatocellular carcinoma (HCC).MethodsThis two-center study retrospectively enrolled 148 consecutive patients who underwent preoperative Gd-EOB-DTPA-enhanced MRI T1 mapping and surgically confirmed HCC from July 2019 to December 2020. The correlation between quantitative parameters from T1 mapping, ADC, and Ki-67 was explored. Three cohorts were constructed: a training cohort (n = 73) and an internal validation cohort (n = 31) from Shunde Hospital of Southern Medical University, and an external validation cohort (n = 44) from the Sixth Affiliated Hospital, South China University of Technology. The clinical variables and MRI qualitative and quantitative parameters associational with Ki-67 expression were analyzed by univariate and multivariate logistic regression analyses. A nomogram was developed based on these associated with Ki-67 expression in the training cohort and validated in the internal and external validation cohorts.ResultsT1rt-Pre and T1rt-20min were strongly positively correlated with Ki-67 (r = 0.627, r = 0.607, P < 0.001); the apparent diffusion coefficient value was moderately negatively correlated with Ki-67 (r = -0.401, P < 0.001). Predictors of Ki-67 expression included in the nomogram were peritumoral enhancement, peritumoral hypointensity, T1rt-20min, and tumor margin, while arterial phase hyperenhancement (APHE) was not a significant predictor even included in the regression model. The nomograms achieved good concordance indices in predicting Ki-67 expression in the training and two validation cohorts (0.919, 0.925, 0.850), respectively.ConclusionsT1rt-Pre and T1rt-20min had a strong positive correlation with the Ki-67 expression in HCC, and Gd-EOB-DTPA enhanced MRI combined with T1 mapping-based nomogram effectively predicts high Ki-67 expression in HCC.

The eccentricity matrix $\mathcal E(G)$ of a connected graph $G$ is obtained from the distance matrix of $G$ by leaving unchanged the largest nonzero entries in each row and each column, and replacing the remaining ones with zeros. In this paper, we consider the set $\mathcal C \mathcal T$ of clique trees whose blocks have at most two cut-vertices \textcolor{blue}{of the clique tree}. After proving the irreducibility of the eccentricity matrix of a clique tree in $\mathcal C \mathcal T$ and finding its inertia indices, we show that every graph in $\mathcal C \mathcal T$ with more than $4$ vertices and odd diameter has two positive and two negative $\mathcal E$-eigenvalues. Positive $\mathcal E$-eigenvalues and negative $\mathcal E$-eigenvalues turn out to be equal in number even for graphs in $\mathcal C \mathcal T$ with even diameter; that shared cardinality also counts the \textcolor{blue}{`diametrally distinguished'} vertices. Finally, we prove that the spectrum of the eccentricity matrix of a clique tree $G$ in $\mathcal C \mathcal T$ is symmetric with respect to the origin if and only if $G$ has an odd diameter and exactly two adjacent central vertices., 16

Gestational diabetes mellitus (GDM) is a common metabolic disorder syndrome in women during pregnancy. If effective measures are not taken to intervene in the early stage of GDM, severe effects will damage maternal and infant health. ABO is the most important human blood group system. A large number of studies have displayed that ABO blood group is associated with many diseases. At present, the risk relationship between ABO blood group and GDM is controversial. The purpose of this study is to explore the risk relationship between ABO blood group and GDM by meta-analysis, thus providing basis for the prevention and treatment of GDM.

Kawasaki disease is an acute, self-limiting vasculitis in children. Early treatment is necessary to prevent cardiovascular complications. The acute phase of Kawasaki disease may present with hemodynamic instability. An association between viral respiratory infections and Kawasaki disease has been reported. Studies have shown that Kawasaki and Kawasaki-like disease may be associated with and have symptoms overlapping COVID-19. Children with COVID-19 may present as Kawasaki-like disease with pediatric inflammatory multisystem syndrome, or macrophage activation syndrome. Clinicians need to be aware of the early diagnosis and management of Kawasaki disease to prevent the development of coronary artery aneurysms. The symptoms overlap of multisystem inflammatory disease seen in COVID-19 adds to the difficulties in timely diagnosis and treatment. Children with Kawasaki disease require regular follow-up plans for coronary artery aneurysms. This adds to the difficulties during the changed environment of COVID-19 for control and prevention. Missed diagnosis and early treatment of Kawasaki disease with immunoglobulin and aspirin results in the development of coronary artery aneurysm in up to 25% of cases, with grave consequences. Here, we briefly review the management of typical and atypical Kawasaki disease which has symptoms overlapping with the multisystem inflammatory disease as seen in COVID-19.

Generating synchronized and natural lip movement with speech is one of the most important tasks in creating realistic virtual characters. In this paper, we present a combined deep neural network of one-dimensional convolutions and LSTM to generate vertex displacement of a 3D template face model from variable-length speech input. The motion of the lower part of the face, which is represented by the vertex movement of 3D lip shapes, is consistent with the input speech. In order to enhance the robustness of the network to different sound signals, we adapt a trained speech recognition model to extract speech feature, and a velocity loss term is adopted to reduce the jitter of generated facial animation. We recorded a series of videos of a Chinese adult speaking Mandarin and created a new speech-animation dataset to compensate the lack of such public data. Qualitative and quantitative evaluations indicate that our model is able to generate smooth and natural lip movements synchronized with speech., This paper has been published on CISP-BMEI 2021. See https://ieeexplore.ieee.org/document/9624360

Background Interleukin-37 is a novel cytokine emerging as a natural suppressor of inflammatory responses. Inflammation and the immune response play important roles in acute ischemic stroke. This study aimed at evaluating the plasma levels and the association with 3-month outcomes of interleukin-37 in acute ischemic stroke patients. Patients and Methods In total, 152 consecutive patients with acute ischemic stroke and 45 healthy controls were included. Plasma interleukin-37 levels were determined in the first morning after admission using an enzyme-linked immunesorbent assay. The primary outcome was the 3-month functional outcome (modified Rankin Scale score >2). Logistic regression was used to evaluate the risk and 3-month outcome of stroke according to plasma interleukin-37 level. Results Plasma interleukin-37 levels were significantly higher in the patients with acute ischaemic stroke than in the healthy controls (182.26 versus 97.89 pg/mL, p

Currently available methods (e.g., interfacial protection and phase separation) for preparing Janus nanoparticles are often complex and expensive. Furthermore, the preparation of Janus nanoparticle...

The automatic phased array ultrasonic testing method has been developed for inspecting the pipe welds with complex geometry. Applying time of flight diffraction (TOFD) technique has two problems: one is the difficulty in recognition of head wave under complex structure; the other is the limited scanning space cannot provide the needed span for pitch-catch mode. To overcome these two problems, an array probe can be placed on the surface of base metal of the weld by the direct and double traverse techniques. In order to design the optimal scanning path for high probability of detection and inspection rate, the model of beam path on tilt steps was established to quantitatively analyze the effects of tilt steps on beam coverage and mode conversion. Experiments were conducted to validate the proposed rule of planning the optimal scanning path. All artificial defects in the mock-up block were detected on the scanning side of which exists the optimal scanning path. While for the scanning side without the optimal scanning path, a combination of scanning is needed to avoid missing inspection.

Lisa M Hess,1 Michael Grabner,2 Liya Wang,2 Astra M Liepa,1 Xiaohong Ivy Li,3 Zhanglin Lin Cui,3 Lee Bowman,1 William R Schelman4 1Global Patient Outcomes, Eli Lilly and Company, Indianapolis, IN, USA; 2Life Sciences Research, HealthCore Inc., Wilmington, DE, USA; 3Global Statistics, Eli Lilly and Company, Indianapolis, IN, USA; 4Medical Affairs, Eli Lilly and Company, Indianapolis, IN, USACorrespondence: Lisa M HessEli Lilly and Company, Indianapolis, IN 46285, USAEmail Hess_lisa_m@lilly.comBackground: As real-world data resources expand and improve, there will increasingly be opportunities to study the effectiveness of interventions. There is a need to ensure that study designs explore potential sources of bias and either acknowledge or mitigate them, in order to improve the accuracy of findings. The objective of this study was to understand newly approved drug utilization patterns in real-world clinical settings over time.Methods: This retrospective study included three sources of real-world data (claims, electronic health records, and recoded data from a quality care program) collected from patients diagnosed with gastric cancer who initiated therapy with either trastuzumab or ramucirumab. Linear regression was used to investigate trends in the use of these drugs for the care of patients with gastric cancer over time from Food and Drug Administration (FDA) approval.Results: Eligible patients (n=1700) had consistent demographic and clinical characteristics over time. After regulatory approval, trastuzumab was used in later lines of therapy and then shifted to earlier lines (p=0.002), while ramucirumab utilization remained consistent over time after FDA approval (p=0.49). Ramucirumab augmentation, defined as the addition of the drug after initiation of a line of therapy, decreased over time (p=0.03), and trastuzumab augmentation remained consistent over time (p=0.58).Conclusion: Since treatment effectiveness may change across lines of treatment, bias may arise if there are changes in the use of the drug (such as line migration) during the time period of analysis using real-world data.Keywords: gastric cancer, trastuzumab, ramucirumab, bias, real-world data

Polycarbosilane (PCS) fibers were cured by a process of alternating air and vacuum atmosphere periodically at thermal oxidation temperature. It was found that the oxygen diffusion in the micron PCS fibers could be observed and controlled by this novel curing process. The out surface layer of the cured fibers was rich in oxygen while the inner core had a lower status. Chemical structure analysis indicated that the groups of Si–H, Si–CH2–Si, and Si–CH3 in the out surface layer were oxidized into oxygen containing structures such as Si–OH, Si–O–Si and CO. Ascribe to the controlled oxygen diffusion, the oxidation degree of the inner core was much lower than the surface layer. The oxygen containing structures, Si–H bond reaction degree, molecular weight and ceramic yield of the cured PCS fibers increased with thermal oxidation temperature and alternating cycles. Theoretical calculation results demonstrated that the Si–H bonds reacted with oxygen was the main reason which made the PCS fiber increase weight. This modified process was a high effective surface layer oxidation curing method. Moreover, silicon carbide (SiC) or silicon nitride (Si3N4) ceramic fibers with skin-core or hollow structure also could be prepared from the surface cured PCS fibers with proper following process.

Psoriasis and type 2 diabetes mellitus (T2DM) share similar inflammatory pathways in their pathogenesis. The stimulator of interferon genes (STING)-interferon regulatory factor 3 (IRF3) pathway has recently been shown to play an important role in immune and metabolic diseases. In this study, we investigated the activation of the STING-IRF3 pathway in human immortalized keratinocytes (HaCaT) cells treated with palmitic acid (PA) and imiquimod (IMQ). Additionally, we detected the STING-IRF3 pathway in diabetic mice with imiquimod (IMQ)-induced psoriasis and assessed the potential of STING inhibitor C-176. Furthermore, skin samples from patients with psoriasis and diabetes were collected for immunohistochemical analysis. The results indicated that the STING-IRF3 pathway was activated in HaCaT cells. Moreover, the STING pathway was also found to be induced in the skin tissue of diabetic mice with psoriasis; the inflammatory responses were ameliorated by treatment with C-176. In the skin tissue samples of patients with psoriasis and diabetes, immunohistochemistry showed that the expression levels of STING and phosphorylated IRF3 were also significantly increased. Thus, we conclude that the STING-IRF3 pathway is involved in the inflammatory response in the manifestation of psoriasis with T2DM. Inhibition of the activation of the STING pathway can ameliorate the development of psoriasis in diabetes and could be targeted for the development of therapeutic agents for these conditions.

Review Paper

Additional file 3: Supplementary Figure 3. Incidence of Low Apgar score by year and gestational age.

Additional file 3: Figure S3. Screenshots of parents and doctors communicating with each other in the WeChat group.

Additional file 7: Table S4. Theeffectiveness of primary and secondary outcome within each group.

Additional file 1: Supplementary Figure 1. Incidence of stillbirth by year and gestational age.

With the prevailing of mobility as a service (MaaS), it becomes increasingly important to manage multi-traffic modes simultaneously and cooperatively. As an important component of MaaS, short-term passenger flow prediction for multi-traffic modes has thus been brought into focus. It is a challenging problem because the spatiotemporal features of multi-traffic modes are critically complex. Moreover, the passenger flows of multi-traffic modes differentiate and fluctuate significantly. To solve these problems, this paper proposes a multitask learning-based model, called Res-Transformer, for short-term inflow prediction of multi-traffic modes (subway, taxi, and bus). Each traffic mode is treated as a single task in the model. The Res-Transformer consists of two parts: (1) several modified Transformer layers comprising the conv-Transformer layer and the multi-head attention mechanism, which helps to extract the spatial and temporal features of multi-traffic modes, (2) the structure of residual network is utilized to obtain the correlations of different traffic modes and prevent gradient vanishing, gradient explosion, and overfitting. The Res-Transformer model is evaluated on two large-scale real-world datasets from Beijing, China. One is the region of a traffic hub and the other is the region of a residential area. Experiments are conducted to compare the performance of the proposed model with several baseline models. Results prove the effectiveness and robustness of the proposed method. This paper can give critical insights into the short-term inflow prediction for multi-traffic modes., Comment: 26 pages, 15 figures, 4 tables

Additional file 5: Supplementary Table 1.Risk of stillbirth at Each Week of Gestation Compared with Remaining in Utero categorized by maternal complication condition. Supplementary Table 2.Risk of SGA at Each Week of Gestation Compared with Remaining in Utero categorized by maternal complication condition. Supplementary Table 3.Risk of low apgar score (

Additional file 6: Table S3. Acceptance of WeChat among intervention group and control group.

Additional file 1: Figure S1. Design the articles based on Haddon model and beliefs the parents needed.

Additional file 2: Figure S2. Articles uploaded to the WeChat official account.

Additional file 5: Table S2. The details of questionnaire.

Additional file 1: Table S1. Characteristics of the cases. Table S2. The list of 118 differential metabolites. Figure S1. The PCA and clustering heat maps of two groups. Fig. A, Cluster map of all samples. Fig. B, Repeated correlation assessment results. Fig. C The volcano map for differential metabolites screening. Figure S2. The out of bag error of random forest model with different number of variables contained in each decision tree. Figure S3. The out of bag error of random forest model with different number of decision tree. Figure S4. The confusion matrix for congenital heart defect.

Additional file 2: Supplementary Figure 2. Incidence of SGA by year and gestational age.

Additional file 7: Table S4. Theeffectiveness of primary and secondary outcome within each group.

Additional file 4: Supplementary Figure 4. Association between maternal complications and adverse perinatal outcomes in women of advanced ages.* *Foetuses staying in utero were used as reference in separate gestational ages, women in medical diseases group or antepartum complications group were compared with uncomplicated women. All results were adjusted for the sampling distribution of the population and clustered of births within hospitals and pregnant woman individuals. Covariates were adjusted as area classification, geographic location, hospital level, infants birth year, education, marriage, parity, prenatal examination, twins born sequence and weight imbalance.

supplemental document

BackgroundThe Arsenic (+3 oxidation state) methyltransferase (AS3MT) gene has been identified as a top risk gene for schizophrenia in several large-scale genome-wide association studies. A variable number tandem repeat (VNTR) of this gene is the most significant expression quantitative trait locus, but its role in brain activity in vivo is still unknown.MethodsWe first performed a functional magnetic resonance imaging (fMRI) scan of 101 healthy subjects during a memory span task, trained all subjects on an adaptive memory span task for 1 month, and finally performed another fMRI scan after the training. After excluding subjects with excessive head movements for one or more scanning sessions, data from 93 subjects were included in the final analyses.ResultsThe VNTR was significantly associated with both baseline brain activation and training-induced changes in multiple regions including the prefrontal cortex and the anterior and posterior cingulate cortex. Additionally, it was associated with baseline brain activation in the striatum and the parietal cortex. All these results were corrected based on the family-wise error rate method across the whole brain at the peak level.ConclusionsThis study sheds light on the role of AS3MT gene variants in neural plasticity related to memory span training.

The Sawada-Kotera equations illustrating the non-linear wave phenomena in shallow water, ion-acoustic waves in plasmas, fluid dynamics etc. In this article, the two-mode Sawada-Kotera equation (tmSKE) occurring in fluid dynamics is addresses. The improved F-expansion and generalized exp$(-\phi(\zeta))$-expansion methods are utilized in this model and abundant of solitary wave solutions of different kinds such as bright and dark solitons, multi peak soliton, breather type waves, periodic solutions and other wave results are obtained. These achieved abundant novel solitary and other wave results have significant applications in fluid dynamics, applied sciences and engineering. By granting appropriate values to parameters, the structures of few results are presented in which many structures are novel. The graphical moments of few solutions helps the engineers and scientist for understanding the physical phenomena of this model. To explain the novelty between the present results and the previously attained results, a comparative study has been carried out. Furthermore, the executed techniques can be employed for further studies to explain the realistic phenomena arising in fluid dynamics correlated with any physical and engineering problems.

The structure of higher education in China is characterized by a high degree of hierarchy as well as strong homogeneity, differing from not only American higher education, which features a high deg...

Mid-infrared (MIR) and near-infrared (NIR) spectroscopy combined with chemometrics were explored to classify Cabernet Sauvignon wines from different countries (Australia, Chile and China). Commercial wines (n = 540) were scanned in transmission mode using MIR and NIR, and their characteristic fingerprint bands were extracted at 1750-1000 cm−1 and 4555-4353 cm−1. Through the identification system of Tri-step infrared spectroscopy, the correlation between macroscopic chemical fingerprints and geographical regions was explored more deeply. Furthermore, Principal component analysis (PCA), soft independent modelling of class analogy (SIMCA) and discriminant analysis (DA) based on MIR and NIR spectra were used to visualize or discriminate differences between samples and to realize geographical origin traceability of Cabernet Sauvignon wines. Through “external test set (n = 157)” validation, SIMCA models correctly classified 97%, 97% and 92% of Australian, Chilean and Chinese Cabernet Sauvignon wines, while the DA models correctly classified 86%, 85% and 77%, respectively. Based on unique digital fingerprints of spectroscopy (FT-MIR and FT-NIR) associated with chemometrics, geographical origin traceability was achieved in a more comprehensive, effective and rapid manner. The developed database models based on IR fingerprint spectroscopy with chemometrics could provide scientific basis and reference for geographical origin traceability of Cabernet Sauvignon wines (Australia, Chile and China).