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In order to address the problem of the underlying mechanism of mathematics learning disability (MLD), in the current research, we investigated the visual and auditory perceptions of elementary school children with visual and auditory MLD from the first to fourth grade. We found that children with visual mathematics learning disability (VMLD) and those with auditory mathematics learning disability (AMLD) all had problems in both visual and auditory perceptions. After further analysis, we found that children with VMLD suffered from more serious problems with visual perception than with auditory perception while it was the other way around for children with AMLD. Children with visual and auditory mathematics learning disability (V-AMLD) had both serious problems with visual and auditory perceptions. It thus can be seen that the visual Arabic code of number was more closely tied with the visual perception while the auditory-verbal code of number more closely associated with the auditory perception. The results shed light on the subtypes of MLD and contributed to the intervention.

Background: Laparoscopic distal gastrectomy (LDG) has become a common procedure for treating advanced gastric cancer (AGC) in China. However, there is uncertainty regarding its oncological outcomes compared to open distal gastrectomy (ODG). This study aims to compare the 3-year disease-free survival (DFS) rates among patients who underwent surgery for AGC in northern China. Methods: A multicenter, non-inferiority, open-label, parallel, randomized clinical trial was conducted to evaluate patients with AGC who were eligible for distal gastrectomy at five tertiary hospitals in North China. In this trial, patients were randomly assigned preoperatively to receive either LDG or ODG in a 1:1 allocation ratio. The primary endpoint was postoperative morbidity and mortality within 30 days and the secondary endpoint was the 3-year DFS rate. This trial has been registered at ClinicalTrials.gov (Identifier: NCT02464215). Results: A total of 446 patients were randomly allocated to LDG (n = 223) or ODG group (n = 223) between March 2014 and August 2017. After screening, a total of 214 patients underwent the open surgical approach, while 216 patients underwent laparoscopic surgery. The 3-year DFS rate was 85.9% for the LDG group and 84.72% for the ODG group, with no significant statistical difference (Hazard ratio 1.12; 95% CI 0.68–1.84, P = 0.65). Body mass index (BMI) < 25 kg/m2, advanced pathologic T4, and pathologic N2-3 category were confirmed as independent risk factors for DFS in the Cox regression. Conclusions: In comparison to ODG, LDG with D2 lymphadenectomy yielded similar outcomes in terms of 3-year DFS rates among patients diagnosed with AGC. [ABSTRACT FROM AUTHOR]

This study aimed to develop and evaluate a CT-based deep learning radiomics model for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB). A total of 330 patients with pathologically confirmed as CD or ITB from the First Affiliated Hospital of Zhengzhou University were divided into the validation dataset one (CD: 167; ITB: 57) and validation dataset two (CD: 78; ITB: 28). Based on the validation dataset one, the synthetic minority oversampling technique (SMOTE) was adopted to create balanced dataset as training data for feature selection and model construction. The handcrafted and deep learning (DL) radiomics features were extracted from the arterial and venous phases images, respectively. The interobserver consistency analysis, Spearman's correlation, univariate analysis, and the least absolute shrinkage and selection operator (LASSO) regression were used to select features. Based on extracted multi-phase radiomics features, six logistic regression models were finally constructed. The diagnostic performances of different models were compared using ROC analysis and Delong test. The arterial-venous combined deep learning radiomics model for differentiating between CD and ITB showed a high prediction quality with AUCs of 0.885, 0.877, and 0.800 in SMOTE dataset, validation dataset one, and validation dataset two, respectively. Moreover, the deep learning radiomics model outperformed the handcrafted radiomics model in same phase images. In validation dataset one, the Delong test results indicated that there was a significant difference in the AUC of the arterial models (p = 0.037), while not in venous and arterial-venous combined models (p = 0.398 and p = 0.265) as comparing deep learning radiomics models and handcrafted radiomics models. In our study, the arterial-venous combined model based on deep learning radiomics analysis exhibited good performance in differentiating between CD and ITB. [ABSTRACT FROM AUTHOR]

Multiple lines of evidence confirm a widespread increase in vegetation growth across China over the past few decades. The relationship between vegetation growth and water availability is thought to be becoming stronger under climate change, that is, water constraints on vegetation growth have been increasing. However, our understanding of how water constraints have influenced these vegetation greening trends, especially those climate change‐driven ones, remains limited. Here, we conduct a comprehensive evaluation of recent water constraints and their implications for vegetation growth in China between 1982 and 2015. By analyzing the spatiotemporal patterns of the relationship between vegetation growth and water availability, we reveal recent water constraints and their changes hidden within an overall greening trend in China. Further analysis demonstrates that two climate change‐related categories, defined broadly as "climate" (e.g., air temperature, precipitation, and so on) and "CO2" (i.e., atmospheric carbon dioxide), have exerted varying levels of importance in regulating vegetation growth across different water constraints. With increasing water constraints, the proportion of the climate‐dominated area has significantly risen, while that of the CO2‐dominated area has sharply declined. Our findings highlight that water constraints can mediate the dominance of climate and atmospheric CO2 on vegetation growth. This has the great potential to exacerbate the uncertainty surrounding current and future sustainable vegetation greening trends. Plain Language Summary: China's vegetation growth has shown a broad increase under climate change and human activities over the past few decades. At the same time, changes in vegetation water demand, terrestrial water availability, and climatic factors are expected to lead to increasing water constraints on vegetation growth. However, whether water constraints have influenced climate change‐driven vegetation greening trends remains unclear. In this study, we provide a comprehensive assessment of recent water constraints and their implications for vegetation growth in China between 1982 and 2015. To do this, we analyze the spatiotemporal patterns of the relationship between vegetation growth and water availability to reveal recent water constraints hidden within China's vegetation greening. Further analysis shows that climate and atmospheric CO2 have exerted varying levels of importance in regulating vegetation growth across different water constraints. With increasing water constraints, more regions become climate‐dominated and fewer become CO2‐dominated. Overall, our findings highlight that water constraints can mediate the dominance of climate and atmospheric CO2 on vegetation growth. This will help decision‐makers recognize the uncertainty of sustainable vegetation greening trends. Key Points: We reveal recent water constraints and their changes hidden within China's widespread vegetation greeningClimate and atmospheric CO2 have exerted varying levels of importance in regulating vegetation growth across different water constraintsWith increasing water constraints, more of China's vegetated regions become climate‐dominated and fewer become CO2‐dominated [ABSTRACT FROM AUTHOR]

Nipa palm hispid beetle (Octodonta nipae) is an insect species that is native to Malaysia but has spread to southern China and beyond, seriously threatening palm production. A lack of high-quality genome resources has hindered understanding of the insect's invasive characteristics and ecological adaptations. Here, we combined Illumina short read, PacBio long-read, and high-throughput chromosome conformation capture (Hi-C) sequencing technologies to generate a high-quality, chromosome-scale genome assembly of nipa palm hispid beetle. The genome assembly was 1.31 Gb in size, consisting of nine chromosomes. The contig and scaffold N50 values were 1.022 Mb and 148.6 Mb, respectively. The genome assembly completeness was estimated at 99.1%. Annotation revealed 16,305 protein-coding genes and 62.16% repeat sequences. This high-quality genome assembly is a valuable resource that will contribute to understanding of the genetic factors underlying the invasive characteristics of nipa palm hispid beetle, ultimately promoting development of efficient control policies. [ABSTRACT FROM AUTHOR]

Background: Acute gastroenteritis (AGE) causes significant morbidity in children worldwide; however, the disease burden of children hospitalized with viral gastroenteritis in China has been rarely described. Through this study, we analyzed the data of hospitalized children with viral gastroenteritis to explore the changes in the epidemiology and clinical characteristics of viral gastroenteritis in the mainland of China. Methods: Data were extracted from Futang Children's Medical Development Research Center (FRCPD), between 2016 and 2020, across 27 hospitals in 7 regions. The demographics, geographic distribution, pathogenic examination results, complications, hospital admission date, length of hospital stays, hospitalization charges and outcomes were collected and analyzed. Results: Viral etiological agents included rotavirus (RV), adenovirus (ADV), norovirus (NV) and coxsackievirus (CV) that were detected in 25,274 (89.6%), 1,047 (3.7%), 441 (1.5%) and 83 (0.3%) cases. There was a higher prevalence of RV and NV infection among children younger than 3 years of age. RV and NV had the highest detection rates in winter, while ADV in summer. Children with viral gastroenteritis were often accompanied by other diseases, such as myocardial diseases (10.98–31.04%), upper respiratory tract diseases (1.20–20.15%), and seizures (2.41–14.51%). Among those cases, the co-infection rate with other pathogens was 6.28%, with Mycoplasma pneumoniae (M. pneumoniae), Epstein-Barr virus (EBV), and influenza virus (FLU) being the most common pathogens. The median length of stay was 5 days, and the median cost of hospitalization corresponded to587 US dollars. Conclusions: This finding suggests that viral gastroenteritis, especially those caused by RV, is a prevalent illness among younger children. Co-infections and the presence of other diseases are common. The seasonality and regional variation of viral etiological agents highlight the need for targeted prevention and control measures. Although viral gastroenteritis rarely leads to death, it also results in a significant economic burden on healthcare systems. [ABSTRACT FROM AUTHOR]

A novel procedure has emerged in recent years within oilfields - namely, the utilization of a hybrid fracturing method employing pre-CO2 injection along with sand-carry slick water. In this paper, based on the real logging data of shale oil reservoirs in the second member of Cangdong Sag, Huanghua Depression, combined with the GOHFER, a coupled 3-D hydraulic fracture propagation model is proposed. This research delves into an examination of how engineering factors exert their influence on the process of fracture propagation. The quantitative analysis is conducted encompassing critical fracture parameters such as half-length, height, and width, and self-defined fracture seepage area and fracture front fractal dimension. The research findings indicate that as injection displacement increases, the fracture shape undergoes a transformation from being "long, low, and wide" to becoming "short, high, and narrow". [ABSTRACT FROM AUTHOR]

Acrossocheilus fasciatus (Cypriniformes, Cyprinidae) is emerged as a newly commercial stream fish in the south of China with high economic and ornamental value. In this study, a chromosome-level reference genome of A. fasciatus was assembled using PacBio, Illumina and Hi-C sequencing technologies. As a result, a high-quality genome was generated with a size of 879.52 Mb (accession number: JAVLVS000000000), scaffold N50 of 32.7 Mb, and contig N50 of 32.7 Mb. The largest and smallest scafford was 60.57 Mb and 16 kb, respectively. BUSCO analysis showed a completeness score of 98.3%. Meanwhile, the assembled sequences were anchored to 25 pseudo-chromosomes with an integration efficiency of 96.95%. Additionally, we found approximately 390.91 Mb of repetitive sequences that accounting for 44.45% of the assembled genome, and predicted 24,900 protein-coding genes. The available genome reported in the present study provided a crucial resource to further investigate the regulation mechanism of genetic diversity, sexual dimorphism and evolutionary histories. [ABSTRACT FROM AUTHOR]

While marine dolomites formed under near surface conditions have been considered to be potentially reliable archives of past oceanic conditions, this interpretation comes with significant challenges because diagenetic alteration frequently produces diverse fabrics with large geochemical variability. It has been suggested that the Ediacaran dolomites in South China (Hamajing Member, Dengying Formation) recorded the oceanic conditions present at the time they formed, yet these dolomites are composed of five different fabrics (stromatolitic, micritic, oolitic, saddle dolomites and fibrous–radial dolomite cements) and show large variations in multiple geochemical isotope proxies (carbon, oxygen, clumped, magnesium and the sulphur of carbonate‐associated sulphate). This study establishes a paragenetic sequence for these dolomites by combining the clumped and the oxygen isotopic compositions, thereby assessing whether they are geochemically representative of the original seawater. Using this diagenetic framework, the micritic and stromatolitic dolomites show a closed‐system behaviour (low water–rock ratios; <0.3) and are largely resistant to the hydrothermal alteration during late diagenesis. In contrast, the ooid and cement fabrics have been affected by the hydrothermal fluid precipitating saddle dolomite in the open‐system condition with the high stimulated water–rock ratios (>1). Furthermore, in a closed‐system environment, the elevated δ24Mg and δ34S values in the stromatolitic dolomite reflect the isotopic Rayleigh fractionation that enriches the 26Mg and 34S through rock‐buffered recrystallization, coupled with microbial sulphate reduction. These results demonstrate that the complex signals in early marine dolomite should be carefully evaluated when used as a palaeoproxy. [ABSTRACT FROM AUTHOR]

Introduction: With an incidence rate as high as 46%-58%, hypoglycemia is a common complication of glycemic management among those suffering from type 2 diabetes mellitus(T2DM). According to preclinical research, hypoglycemia episodes may impair cognition by harming neurons. However, there is still controversy regarding the clinical evidence for the relationship between hypoglycemic events and the likelihood of cognitive impairment. Furthermore, little research has been done on the dose-response association between hypoglycemia incidents and the possibility of cognitive impairment. To address these knowledge gaps, the present research intends to update the comprehension of the association among hypoglycemic events and the risk of cognitive impairment and to clarify the correlation between dose and response by incorporating the most recent investigations. Method and analysis: This work has developed a protocol for a systematic review and meta-analysis that will examine, via a well-organized assessment of several databases, the relationship between the incidence of hypoglycemia and the probability of cognitive impairment. Observational studies investigating the connection between hypoglycemia episodes and cognitive impairment will be included. The databases that will be searched are PubMed, Web of Science, the Chinese Biomedical Literature Database (CBM), Cochrane Library, Embase, the China National Knowledge (CNKI), Wan Fang, the Chinese Science and Technology Periodical Database (VIP), and Du Xiu. Literature from the establishment of each database to December 2023 will be included in the search. Two researchers will independently screen the studies that satisfy the requirements for both inclusion and exclusion. A third researcher will be asked to mediate any disputes. The methodological caliber of the studies included will be assessed utilizing the Newcastle-Ottawa Scale (NOS) or the Joanna Briggs Institute (JBI) critical appraisal method. With regard to GRADE, which stands for Grading of Recommendations, Assessment, Development, and Evaluation, the quality of the evidence will be evaluated. ROBIS Tool will be used to evaluate the risk of bias in the development of the systematic review. If the data is accessible, meta-analysis and dose-response curve analysis will be employed by Stata software. However, if the data does not allow for such analysis, a descriptive review will be performed. Discussion and conclusion: Hypoglycemic episodes may raise the likelihood of cognitive impairment, according to earlier investigations. This study will update the relevant evidence and explore the dose-response connection between hypoglycemic episodes and cognitive impairment. The results of this review will have significant effects on decision-making by individuals with diabetes, healthcare providers, and government policy institutions. Trial registration: Prospero registration number:CRD42023432352. [ABSTRACT FROM AUTHOR]

Background: Patients treated with drug-coated balloons (DCB) have the theoretical advantage of adopting a low-intensity antiplatelet regimen due to the absence of struts and polymers. Nevertheless, the optimal antiplatelet strategy for patients undergoing DCB-only treatment remains a topic of debate and has not been investigated in randomized trials. Methods: The REC-CAGEFREE II is an investigator-initiated, prospective, open-label, multi-center, randomized, non-inferiority trial aimed to enroll 1908 patients from ≥ 40 interventional cardiology centers in China to evaluate the non-inferiority of an antiplatelet regimen consisting of Aspirin plus Ticagrelor for one month, followed by five months Ticagrelor monotherapy, and then Aspirin monotherapy for six months (Experimental group) compared to the conventional treatment of Aspirin plus Ticagrelor for 12 months (Reference group) in patients with acute coronary syndrome (ACS) who have undergone percutaneous coronary intervention (PCI) using paclitaxel-coated balloons (DCB) exclusively. Participants will be randomly assigned to the Experimental or Reference group in a 1:1 ratio. The randomization will be stratified based on the center and the type of lesion being treated (De novo or in-stent restenosis). The primary endpoint is net adverse clinical events (NACE) within 12 months of PCI, which includes the composite of all-cause death, any stroke, any myocardial infarction, any revascularization and Bleeding Academic Research Consortium (BARC) defined type 3 or 5 bleeding. The secondary endpoint, any ischemic and bleeding event, which includes all-cause death, any stroke, MI, BARC-defined type 3 bleeding, any revascularization, and BARC-defined type 2 bleeding events, will be treated as having hierarchical clinical importance in the above order and analyzed using the win ratio method. Discussion: The ongoing REC-CAGEFREE II trial aims to assess the efficacy and safety of a low-intensity antiplatelet approach among ACS patients with DCB. If non-inferiority is shown, the novel antiplatelet approach could provide an alternative treatment for ACS patients with DCB. Trial registration: ClinicalTrials.gov identifier: NCT04971356. [ABSTRACT FROM AUTHOR]

Sintered ore is the most important incoming iron material for blast furnaces in China. The foundation characteristics of sintering are an important basis for the sintering process of iron ore powder and a key indicator for evaluating the quality of iron ore powder. The chemical composition of iron ore powder directly affects the foundation characteristics of sintering. Based on the chemical composition and sintering characteristics of iron ore powder, the article adopts the FOA-Catboost algorithm to establish a prediction model for the foundation characteristics of single iron ore powder and mixed iron ore powder. Among the foundation characteristics prediction indicators of a single type of iron ore powder, the accuracy of assimilation temperature prediction is 95.65 %, the accuracy of fluidity index prediction is 95.23 %, and the accuracy of bonding phase strength prediction is 97.46. Among the foundation characteristics prediction indicators of mixed iron ore powder, the accuracy of assimilation prediction is 95.82 %, the accuracy of fluidity index prediction is 91.66 %, and the accuracy of bonding phase strength prediction is 93.7 %. On the basis of predicting the foundation characteristics of a single type of iron ore powder, the model further predicts the foundation characteristics of mixed iron ore powder, which can reduce the workload of laboratory experiments on the foundation characteristics of iron ore powder and reduce the amount of experiments in the process of finding the optimal proportion of mixed ore. Based on the foundation characteristics model of mixed ore, determine the optimal ratio of sintered ore powder to improve the quality of sintered ore. The establishment of the model has a significant contribution to improving experimental and production efficiency, reducing costs, improving sinter quality, and reducing environmental impact. [ABSTRACT FROM AUTHOR]

Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects individuals across their lifespan. Early diagnosis and intervention are crucial for improving outcomes. However, current diagnostic methods are often time-consuming, and costly, making them inaccessible to many families. In the current study, we aim to test caregiver-child interaction as a potential tool for screening children with ASD in clinic. Methods: We enrolled 85 preschool children (Mean age: 4.90 ± 0.65 years, 70.6% male), including ASD children with or without developmental delay (DD), and typical development (TD) children, along with their caregivers. ASD core symptoms were evaluated by Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule-Calibrated Severity Scores (ADOS-CSS). Behavioral indicators were derived from video encoding of caregiver-child interaction, including social involvement of children (SIC), interaction time (IT), response of children to social cues (RSC), time for caregiver initiated social interactions (GIS) and time for children initiated social interactions (CIS)). Power spectral density (PSD) values were calculated by EEG signals simultaneously recorded. Partial Pearson correlation analysis was used in both ASD groups to investigate the correlation among behavioral indicators scores and ASD symptom severity and PSD values. Receiver operating characteristic (ROC) analysis was used to describe the discrimination accuracy of behavioral indicators. Results: Compared to TD group, both ASD groups demonstrated significant lower scores of SIC, IT, RSC, CIS (all p values < 0.05), and significant higher time for GIS (all p values < 0.01). SIC scores negatively correlated with CARS (p = 0.006) and ADOS-CSS (p = 0.023) in the ASD with DD group. Compared to TD group, PSD values elevated in ASD groups (all p values < 0.05), and was associated with SIC (theta band: p = 0.005; alpha band: p = 0.003) but not IQ levels. SIC was effective in identifying both ASD groups (sensitivity/specificity: ASD children with DD, 76.5%/66.7%; ASD children without DD, 82.6%/82.2%). Conclusion: Our results verified the behavioral paradigm of caregiver-child interaction as an efficient tool for early ASD screening. [ABSTRACT FROM AUTHOR]

The largest Precambrian gas field (Anyue Gasfield) in China has been discovered in the central Sichuan Basin. However, the deep ancient Ediacaran dolomite presents a substantial challenge due to their tightness and heterogeneity, rather than assumed large-area stratified reservoirs controlled by mound-shoal microfacies. This complicates the characterization of "sweet spot" reservoirs crucial for efficient gas exploitation. By analyzing compiled geological, geophysical and production data, this study investigates the impact of strike-slip fault on the development and distribution of high-quality "sweet spot" (fracture-vuggy) reservoirs in the Ediacaran dolomite of the Anyue Gasfield. The dolomite matrix reservoir exhibits low porosity (less than 4%) and low permeability (less than 0.5×10–3 μm2). Contrarily, fractures and their dissolution processes along strike-slip fault zone significantly enhance matrix permeability by more than one order of magnitude and matrix porosity by more than one time. Widespread "sweet spot" fracture-vuggy reservoirs are found along the strike-slip fault zone, formed at the end of the Ediacaran. These fractured reservoirs are controlled by the coupling mechanisms of sedimentary microfacies, fracturing and karstification. Karstification prevails at the platform margin, while both fracturing and karstification control high-quality reservoirs in the intraplatform, resulting in reservoir diversity in terms of scale, assemblage and type. The architecture of the strike-slip fault zone governed the differential distribution of fracture zones and the fault-controlled "sweet spot" reservoirs, leading to wide fractured-vuggy reservoirs across the strike-slip fault zone. In conclusion, the intracratonic weak strike-slip fault can play a crucial role in improving tight carbonate reservoir, and the strike-slip fault-related "sweet spot" reservoir emerges as a unique and promising target for the efficient development of deep hydrocarbon resources. Tailored development strategies need to be implemented for these reservoirs, considering the diverse and differential impacts exerted by strike-slip faults on the reservoirs. [ABSTRACT FROM AUTHOR]

In August 2021, a warm-sector heavy rainfall event under the control of the western Pacific subtropical high occurred over the southeastern coast of China. Induced by a linearly shaped mesoscale convective system (MCS), this heavy rainfall event was characterized by localized heavy rainfall, high cumulative rainfall, and extreme rainfall intensity. Using various observational data, this study first analyzed the precipitation features and radar reflectivity evolution. It then examined the role of environmental conditions and the relationship between the ambient wind field and convective initiation (CI). Furthermore, the dynamic lifting mechanism within the organization of the MCS was revealed by employing multi-Doppler radar retrieval methods. Results demonstrated that the linearly shaped MCS, developed under the influence of the subtropical high, was the primary cause of the extreme rainfall event. High temperatures and humidity, coupled with the convergence of low-level southerly winds, established the environmental conditions for MCS development. The superposition of the convergence zone generated by the southerly winds in the boundary layer (925–1000 hPa) and the divergence zone in the lower layer (700–925 hPa) supplied dynamic lifting conditions for CI. Additionally, a longterm shear line (southerly southwesterly) offered favorable conditions for the organization of the linearly shaped MCS. The combined effects of strengthening low-level southerly winds and secondary circulation in mid-upper levels were influential factors in the development and maintenance of the linearly shaped MCS. [ABSTRACT FROM AUTHOR]

Simple Summary: Targeted therapy for malignant esophageal squamous cell carcinoma (ESCC) remains a big challenge for our clinicians. In an effort to search for the vulnerability of ESCC, we applied a high-throughput drug-screening strategy and found that CuET, a copper chelation product of disulfiram, had a strong synergy effect with the JMJD3/UTX inhibitor GSK J4 in treating ESCC in vitro and in vivo. Interestingly, JMJD3/UTX's diagnostic and prognostic value, as well as the underlying mechanisms associated with endoplasmic reticulum stress were revealed. Targeting JMJD3 and UTX in combination with disulfiram has the potential to provide a new safe, effective, and available therapy for ESCC. The alcohol-averse drug disulfiram has been reported to have anti-tumor effects and is well suited for drug combinations. In order to identify potential drug combinations in esophageal squamous cell carcinoma (ESCC), we screened a bioactive compound library with the disulfiram copper chelation product CuET. The Jumonji domain-containing protein 3 (JMJD3) and the ubiquitously transcribed tetratricopeptide repeat protein X-linked (UTX) inhibitor GSK J4 were identified. To further understand the molecular mechanism underlying the efficient drug combination, we applied quantitative mass spectrometry to analyze the signaling pathway perturbation after drug treatment. The data revealed that the synergistic effect of GSK J4 and CuET was due to the interaction among JMJD3 and UTX, which may play important roles in maintaining endoplasmic reticulum (ER) homeostasis in tumor cells. Interestingly, our clinical data analysis showed that high expression of JMJD3 and UTX was associated with T stage and worse prognosis of ESCC patients, further supporting the importance of the above findings. In conclusion, our findings suggest that the combination of CuET and targeting JMJD3/UTX may be a safe, effective, and available treatment for ESCC. [ABSTRACT FROM AUTHOR]

The ski industry in China has been entering into a phase of rapid development, since the beginning of Beijing 2022 Winter Olympics, with the typical distribution characteristics of ski tourism in main snow-ice resources area. The North Slope region of the Tianshan Mountain contains the favorable endowment of ski resources in China and has become one of the best tourist destinations. However, ski tourism are facing a significant challenge in ecological and environmental protection. Few China Ski tourism studies considered the discussion of ecological footprint. Therefore, this study aims to explore an ecological accounting scheme for ski tourism, based on evaluating the local ecological carrying capacity and ecological pressure, and to examine the sustainability of the regional ski industry layout, took a representative Tianshan ski tourist city as the research case. It is indicated that the ecological footprint of ski resorts are considerably larger than that of other tourism activities, which highlights the urgent need to manage ecological issues of ski resorts. The regional tourist attractions cannot match ski tourism endowment. Nalati ski resorts presents a state of ecological deficit, as the largest tourism area in North Slope region of Tianshan Mountain. Ski tourism accommodations contribute to the largest proportion of the ecological footprint. Fundamentally, this study offers an industry ecological model consideration based on ski tourism sustainability assessment. [ABSTRACT FROM AUTHOR]

For patients with severe aplastic anemia (SAA) in China who have had an insufficient response to the first-line treatment with hematopoietic stem cell transplantation or immunosuppressive therapy, there is no established standard of care other than transfusion support and treatment of infections. This non-randomized, open-label, Phase II multicenter trial investigated the efficacy and safety of eltrombopag in 20 adult Chinese patients with refractory or relapsed (r/r) SAA. The primary endpoint of hematologic response rate at Week 26, defined as the proportion of patients who met any of the International Working Group criteria, was observed in 70% (14/20) of patients, with more than 50% of these having at least bi-lineage response. Reduced red blood cell and platelet transfusion at Week 26 were observed in 57% (8/14) and 80% (8/10) of patients, respectively. Safety findings were consistent with the established safety profile of eltrombopag and no new safety signals were reported. None of the patients discontinued eltrombopag because of safety concerns. Although the sample size was small, this is the first prospective study to show that eltrombopag is efficacious and has a favorable safety profile in a Chinese patient population with r/r SAA. Trial registration: This trial is registered on ClinicalTrials.gov (NCT03988608); registered 17 June 2019. [ABSTRACT FROM AUTHOR]

Extreme heat events happen frequently in East Asia, and may cause great damage to the ecosystem and society. The synergistic effect of the summer positive North Atlantic Oscillation (pNAO) and positive northwest Pacific (pNWP) sea surface temperature anomaly (SSTA) on the interannual variability of the extreme heat events in the central–eastern China (CEC) is investigated in this study. The two factors act synergistically in strengthening the extreme heat events in the CEC via a series of atmospheric bridges, and the CEC is likely to experience a hotter summer when both the summer pNAO and pNWP SSTA occur. The pNWP SSTA increases the strength of pNAO via the eastward propagating Rossby wave from the western Pacific. The enhanced pNAO induces a stronger eastward Rossby wave propagation across the Eurasian continent, and leads to a strong anomalous anticyclone over the CEC. The significantly increased atmosphere thickness increases the air temperature of the layer, and favors the extreme heat events in the CEC. Besides, the pNWP SSTA also has adjacent effect on the atmospheric circulation over the CEC, which could lead to a positive geopotential height anomaly. Therefore, the summer pNAO and pNWP SSTA act synergistically in influencing the atmospheric circulation over the CEC, and thereby significantly increase the extreme heat events in the CEC. [ABSTRACT FROM AUTHOR]

Background: We aimed to investigate the association between oral health and cognitive function in a sample of older adults from a Chinese rural community. Methods: The cross-sectional cognitive function of 677 individuals were assessed by Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). A comprehensive profile of the oral health status was evaluated by questionnaire and clinical examination. Results: Multiple covariates-adjusted regression models demonstrated decayed teeth (DT) and decayed/missing/filled teeth (DMFT) were negatively associated with MoCA score (all p < 0.05). Calculus index (CI) and clinical attachment loss (CAL) were significantly associated with the lower MoCA, short-term memory and executive function score, respectively (all p < 0.05). Additionally, participants with missing teeth unrestored tend to get lower MMSE and MoCA scores (p < 0.05). The results also showed that increased DT and CI were modestly associated with higher odds of cognitive impairment (p < 0.05). Conclusions: There is an association between oral health and global cognition. Poor periodontal status was strongly associated with worse global cognition performance, especially in the short-term memory and executive domain for the aging population. [ABSTRACT FROM AUTHOR]

Urban fugitive dust is a significant contributor to atmospheric PM2.5 and a potential risk to humans. In 2019, both road dust and construction dust were collected from four cities, including Xi'an, Xianyang, Baoji, and Tongchuan, in Guanzhong Plain, China. Elements, water-soluble ions, and carbonaceous fractions were determined to establish the chemical source profile. High enrichment degrees of Se, Sc, Cl, and Zn in both road dust and construction dust indicated that the industrial system and energy consumption influenced Guanzhong Plain strongly. According to the coefficient of divergence, the two datasets within Xianyang and Tongchuan were similar. Combined with the chemical profile, road dust was affected by more stationary emission sources than construction dust in Xi'an, while biomass burning and vehicle exhaust contributed more to road dust than construction dust in Baoji. Moreover, the health risk of heavy metal was assessed, and corresponding influencing factors were identified. Road dust in all cities showed a non-negligible non-carcinogenic risk for children. Ingestion and inhalation were the main exposure pathways to which As and Co contributed the most, respectively. The land-use regression model revealed that the first-class road in a 100 m radius impacted all high-risk level metals, and the commercial building material and enterprises weakly influenced Co and Pb, respectively. [ABSTRACT FROM AUTHOR]

Objective: To determine the association between different antihypertensive regimens and cardiovascular disease (CVD) outcomes in hypertensive patients. Method: This single center retrospective cohort study analyzed 602 hypertensive patients with complete medical records at Zhongnan Hospital of Wuhan University, China, from January 2016 to November 2022. Baseline data and follow-up data of the included patients were collected, including demographic and clinical characteristics and laboratory results. Results: During the 5-year follow-up period, CVD outcomes occurred in 244 hypertensive patients (40.53%). Compared with patients receiving regular antihypertensive treatment, the incidence of adverse cardiovascular events in patients receiving irregular antihypertensive treatment was significantly higher (62 [55.86%] vs 182 [37.07%], HR 1.642, 95% CI 1.227–2.197, p < 0.001). In subgroup analysis, the results showed that the incidence of CVD was not identical (χ2 = 9.170, p = 0.010). The incidence of adverse cardiovascular events was highest in the single-drug antihypertensive treatment group (43.60%), followed by the multi-drug combination group (41.51%), and lowest in the two-drug combination group (29.58%). Kaplan–Meier curve showed that hypertensive patients treated with two-drug combination antihypertensive had longer overall survival time. We further compared the incidence of CVD between standard blood pressure and intensive blood pressure control, and found no significant difference in the incidence of adverse cardiovascular events between treatment to a systolic blood pressure (SBP) target of less than 140 mmHg compared with a SBP target of less than 120 mmHg (105 [43.93%] vs 35 [29.66%], HR 1.334, 95% CI 0.908–1.961, p = 0.142). Conclusion: The incidence of adverse cardiovascular events was significantly different among different antihypertension treatments. Kaplan–Meier survival curve showed that hypertensive patients receiving two-drug combination antihypertensive treatment had longer overall survival time. [ABSTRACT FROM AUTHOR]

Saline‐alkaline soils are wide‐spread and approximately 6.5% of the world's land area is reported as being saline and sodic. Increasing soil organic carbon (SOC) concentration and aggregate stability in saline‐alkaline soils has been challenging due to the deleterious effects of soil salinity and sodicity. To address this issue, a 2‐year filed experiment was conducted to evaluate the effects of biochar (BC), farmyard manure (FM), corn straw (CS), and sheep manure (SM) in combination of chemical fertilizer (CK) on soil aggregation and C sequestration in mildly and moderately alkaline soils in Hetao Irrigation District, China. For mildly alkaline soil, the proportion of macroaggregates (>0.25 mm) was significantly higher under FM, CS, and SM (34.6%–51.2%) compared with CK (13.2%). The mean weight diameter (MWD) and geometric mean diameter (GMD) of water‐stable aggregates significantly increased under FM, CS, and SM by an average of 172.7% and 58.7% over CK. In addition, FM, CS, and SM enhanced the distribution of organic carbon (OC) in macroaggregates (>0.25 mm) and accelerated the accumulation of particulate organic matter within macroaggregates. Treatment BC enhanced OC distribution in microaggregates (0.053–0.25 mm) and exhibited a 7.40 g kg−1 SOC content, followed by SM and FM which exhibited SOC contents of 7.10 and 6.76 g kg−1. For moderately alkaline soil, data obtained in this study showed a slight influence from organic amendments on soil aggregates and C sequestration, suggesting that the moderately alkaline soil was not as sensitive to organic amendments as the mildly alkaline soil. Overall, the results of this study demonstrated that FM and SM combined with chemical fertilizer were the top organic amendments to improve soil aggregation and C sequestration in the mildly alkaline soil but not the moderately alkaline soil over the short term. Core ideas: Organic amendments enhanced soil aggregation and C sequestration more in the mildly alkaline soil than the moderately alkaline soil.Farmyard manure, corn straw, and sheep manure improved soil aggregate stability compared with control in the mildly alkaline soil.Farmyard, corn straw, and sheep manure enhanced the accumulation of particulate organic matter intra‐aggregate (iPOM) compared with control in the mildly alkaline soil.Biochar, farmyard manure, and sheep manure significantly increased SOC contents compared with control in the mildly alkaline soil.Farmyard manure and sheep manure are key organic amendments that can improve soil aggregation and C sequestration in mildly alkaline soils. [ABSTRACT FROM AUTHOR]

Emission controls have substantially brought down aerosol pollution in China; however, aerosol mass reductions have slowed down in recent years in the Pearl River Delta (PRD) region, where secondary organic aerosol (SOA) formation poses a major challenge for air quality improvement. In this study, we characterized the roles of SOA in haze formation in urban Guangzhou in the PRD using year-long aerosol mass spectrometer measurements for the first time and discussed possible pathways of SOA formations. On average, organic aerosols (OA) contribute dominantly (50 %) to nonrefractory submicron aerosol mass (NR-PM 1). The average mass concentration of SOA (including by less- and more-oxidized OA, LOOA and MOOA) contributed most to NR-PM 1 , reaching about 1.7 times that of primary organic aerosols (POA, including hydrocarbon-like and cooking-related OA) and accounting for 32 % of NR-PM 1 , even more than sulfate (22 %) and nitrate (16 %). Seasonal variations of NR-PM 1 revealed that haze-formation mechanisms differed much among distinct seasons. Sulfate mattered more than nitrate in fall, while nitrate was more important than sulfate in spring and winter, with SOA contributing significantly to haze formations in all the seasons. Daytime SOA formation was weak in winter under low oxidant levels and air relative humidity, whereas prominent daytime SOA formation was observed in fall, spring and summer almost on a daily basis, suggesting important roles of photochemistry in SOA formations. Further analysis showed that the coordination of gas-phase photochemistry and subsequent aqueous-phase reactions likely played significant roles in quick daytime SOA formations. Obvious nighttime SOA formations were also frequently observed in spring, fall and winter, and it was found that daytime and nighttime SOA formations together had resulted in the highest SOA concentrations in these seasons and contributed substantially to severe haze formations. Simultaneous increases in nitrate with SOA after sunset suggested the important roles of NO 3 radical chemistry in nighttime SOA formations, and this was further confirmed by a continuous increase in the NO + / NO 2+ fragment ratio that related to measured particulate nitrate after sunset. The findings of this study have promoted our understanding of haze pollution characteristics of the PRD and laid down future directions for investigations of SOA-formation mechanisms in urban areas of southern China that share similar emission sources and meteorological conditions. [ABSTRACT FROM AUTHOR]

To clarify the precipitation forecast skills of climate forecast operations in the flood season in Liaoning Province of China, this study examines the forecast accuracies of China's national and provincial operational climate prediction products and the self-developed objective prediction methods and climate model products by Shenyang Regional Climate Center (SRCC) in the flood season in Liaoning. Furthermore, the forecast accuracies of the main influencing factors on the precipitation in the flood season of Liaoning are assessed. The results show that the SRCC objective methods have a relatively high accuracy. The European Centre for Medium-Range Weather Forecasts (ECMWF) sub-seasonal forecast initialized at the sub-nearest time has the best performance in June. The National Climate Center (NCC) Climate System Model sub-seasonal forecast initialized at the sub-nearest time, and the ECMWF seasonal and sub-seasonal forecasts initialized at the nearest time, perform the best in July. The NCC sub-seasonal forecast initialized at the sub-nearest time has the best performance in August. For the accuracy of the SRCC objective method, the more significant the equatorial Middle East Pacific sea surface temperature (SST) anomaly is, the higher the evaluation score of the dynamic–analogue correction method is. The more significant the North Atlantic SST tripole is, the higher the score of the hybrid downscaling method is. For the forecast accuracy of the main influencing factors of precipitation, the tropical Atlantic SST and the north–south anti-phase SST in the northwest Pacific can well predict the locations of the southern vortex and the northern vortex in early summer, respectively. The warm (clod) SST in China offshore has a good forecast performance on the weak (strong) southerly wind in midsummer in Northeast China. The accuracy of using the SST in the Nino 1+2 areas to predict the north–south location of the western Pacific subtropical high is better than that of using Kuroshio SST. The accuracy of predicting northward-moving typhoons from July to September by using the SST in the west-wind-drift area is better than using the SST in the Nino 3 area. The above conclusions are of great significance for improving the short-term climate prediction in Liaoning. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to construct a formula to predict L3 skeletal muscle cross‐sectional area (CSA) from C3 CSA and to select the cutoff values to evaluate the nutritional status in OSCC. Materials and Methods: A total of 220 OSCC patients in Nanfang Hospital were divided into two groups: the training set (n = 100) and the validation set (n = 120). Patients in the training set were performed the preoperative whole‐body positron emission tomography‐computed tomography (PET/CT) scans, and patients in the validation set received preoperative head‐and‐neck computed tomography (CT) scans. C3 CSA and L3 CSA were delineated. The predictive formula was established, and the gender‐specific thresholds of malnutrition were obtained by X‐tile software in training set. Finally, the formula and cutoff values were validated. Results: The predictive formula was successfully established. The gender‐specific cutoff values for L3 SMI were 55.0 cm2/m2 for men and 36.6 cm2/m2 for women. There were no differences between the overall survival (OS) of patients diagnosed with malnutrition and that of patients who are not malnutrition. Conclusions: Our studies reveal that the L3 CSA could be calculated by C3 CSA conveniently with our formula in OSCC, which allowed us to assess malnutrition with head‐and‐neck CT image. However, there is no direct connection found between malnutrition and OS in OSCC. Hence, further studies with a larger sample size may be required. [ABSTRACT FROM AUTHOR]

Large gas reserves have been found in the Permian platform margin of the Kaijiang-Liangping area of the Sichuan Basin in SW China. They are assumed to be a widely developed reef–shoal reservoir. However, the tight matrix reservoir cannot support high gas production using conventional development technology at deep subsurface. In this contribution, we analyze the fractured reservoirs along the strike-slip fault zones using the compiled data of cores, well logging, and production data, and provide a seismic description. It was shown that the fractures and their dissolution developed along the strike-slip fault zones. The porosity and permeability of the fractured reservoir could increase by more than one and 1–2 orders of magnitude, respectively. The seismic anisotropic energy found in the steerable pyramid process suggests that fractured reservoirs have a strong heterogeneity, with a localized fault damage zone. This fracturing has both positive and negative effects, showing varied reservoir parameters in the fault damage zone. The development pattern should adopt a non-uniform well pattern, in order to target the localized "sweet spot" of the fractures in these deep tight matrix reservoirs. [ABSTRACT FROM AUTHOR]

The northward typhoon configuration along the southeast coast of China (TCN-SEC) is one of the key circulation patterns influencing the coastal cities in southeast China (CCSE). Here, we analyzed the air quality in CCSE during the high-incidence typhoon period from 2019 to 2021. Multi-source measurements were carried out to explore the impact of super typhoon 2114 'Chanthu' on the air quality in CCSE. The results showed that the TCN-SEC and its surrounding weather situation had a favorable impact on the increase in pollutant concentration in CCSE, especially on the increase in O3 concentration. From 13 September to 17 September 2021, affected by the cyclonic shear in the south of super typhoon 2114 'Chanthu,' the strong wind near the ground, stable relative humidity, strong precipitation, and the significantly reduced wind speed had a substantial effect on PM10, PM2.5, SO2, and NO2 concentrations. Calm and light air near the ground, weak precipitation, high daily maximum temperatures, and minimum relative humidity may provide favorable meteorological conditions for the accumulation of O3 precursors and photochemical reactions during the day, resulting in the daily peak values of O3 exceeding 160 μg/m3. The evolution of wind, relative humidity, and boundary layer height could play an important role in the variations in PM10 and PM2.5 concentrations by influencing pollutant accumulation or diffusion. It was suggested that the atmospheric structure of horizontal stability and vertical mixing below 1500 m could play a significant role in the accumulation and vertical distribution of ozone. The results highlight the important role of typhoons in the regional environment and provide a scientific basis for further application of multi-source observation data, as well as air pollution control. [ABSTRACT FROM AUTHOR]

The incomplete enforcement of environmental regulations in China is a serious issue in environmental protection affairs, and this paper attempts to provide a new explanation for its prevalence from the perspective of strategic interaction. Under Chinese decentralization, environmental regulations are seen by local governments as a tool to compete for scarce resources, which leads to strategic interactions between regions. Therefore, under the theoretical framework of regional policy spillovers, this paper examines the strategic interaction behavior of local governments in environmental regulation with a spatial econometric approach research methodology based on panel data of 29 Chinese provinces (autonomous regions and municipalities directly under the central government) from 2015 to 2019, taking spatial interdependence and the strategic interaction relationship of local governments as the entry point. The study finds that the intensity of environmental regulation in a region is not only related to the characteristics of the region, but also related to the intensity of environmental regulation in competing provinces, and there is a significant strategic interaction of environmental regulation behavior between regions, which is manifested as complementary spatial strategies. If the neighboring provinces invest more in environmental regulation, the region will also strengthen its level of environmental regulation accordingly, showing the contagiousness of non-complete enforcement of environmental regulation. At the same time, the complementary strategic interaction behavior of environmental regulation between regions has weakened since 2017, which highlights the role of green environmental performance assessment. Based on this, this paper proposes to provide a policy reference to avoid the environmental regulation enforcement dilemma. [ABSTRACT FROM AUTHOR]

Karst cave is a sort of special and buried geological structure that was widely developed in the Permo-Carboniferous coal accumulation area of North China. It brings karst collapse and safety hazard in the mining industry. In this study, we propose a seismic structure-constrained inversion of controlled source audio-frequency magnetotelluric (CSAMT) data on a detailed survey and detection of karst caves. Instead of constrained by seismic impedance, the method in this study directly takes the seismic imaging results as structural constraints, which is different from the cross-gradient technique used by conventional structural constraints. First, the seismic migration section is divided according to the CSAMT inversion grid and applied pixel extraction for each grid. Clustering is carried out according to the structural information interpreted by the seismic migration section and the average pixel value of each cluster is calculated. Then the clustered results were used in the seismic structure-constrained inversion of CSAMT data based on cross-gradient technique. After that, as a karst cave model developed in limestone was established, the study compares the structure-constrained inversions with different clustering strategies shows a much more precision of karst cave detection than the method only applies CSAMT data. Moreover, experimental verification is provided in this study, which is for the detection of a suspected karst collapse column from Shandong Province, China. The comparison results further show that the structure-constrained inversion method proposed in this paper is applicable and may effectively improve the locating accuracy of karst caves. [ABSTRACT FROM AUTHOR]

Plant leaf functional traits can reflect the adaptive strategies of plants to environmental changes. Exploring the patterns and causes of geographic variation in leaf functional traits is pivotal for improving ecological theory at the macroscopic scale. In order to explore the geographical variation and the dominant factors of leaf functional traits in the forest ecosystems of China, we measured 15 environmental factors on 16 leaf functional traits in 33 forest reserves in China. The results showed leaf area (LA), carbon-to-nitrogen ratio (C/N), carbon-to-phosphorus ratio (C/P), nitrogen-to-phosphorus ratio (N/P), phosphorus mass per area (Pa) and nitrogen isotope abundance (δ15N)) were correlated with latitude significantly. LA, Pa and δ15N were also correlated with longitude significantly. The leaf functional traits in southern China were predominantly affected by climatic factors, whereas those in northern China were mainly influenced by soil factors. Mean annual temperature (MAT), mean annual precipitation (MAP) and mean annual humidity (MAH) were shown to be the important climate factors, whereas available calcium (ACa), available potassium (AK), and available magnesium (AMg) were shown to be the important climate factors that affect the leaf functional traits of the forests in China. Our study fills the gap in the study of drivers and large-scale geographical variability of leaf functional traits, and our results elucidate the operational mechanisms of forest–soil–climate systems. We provide reliable support for modeling global forest dynamics. [ABSTRACT FROM AUTHOR]

Ilex chinensis Sims. is an evergreen arbor species with high ornamental and medicinal value that is widely distributed in China. However, there is a lack of molecular and genomic data for this plant, which severely restricts the development of its relevant research. To obtain the whole reference genome, we first conducted a genome survey of I. chinensis by next-generation sequencing (NGS) to perform de novo whole-genome sequencing. As a result, our estimates using k-mer and flow cytometric analysis suggested the genome size of I. chinensis to be around 618–655 Mb, with the GC content, heterozygous rate, and repeat sequence rate of 37.52%, 1.1%, and 38%, respectively. A total of 334,649 microsatellite motifs were detected from the I. chinensis genome data, which will provide basic molecular markers for germplasm characterization, genetic diversity, and QTL mapping studies for I. chinensis. In summary, the I. chinensis genome is complex with high heterozygosity and few repeated sequences. Overall, this is the first report on the genome features of I. chinensis, and the information may lay a strong groundwork for future whole-genome sequencing and molecular breeding studies of this species. [ABSTRACT FROM AUTHOR]

Spatiotemporal filtering can effectively remove the common mode error (CME) which significantly affects the accuracy of the Global Navigation Satellite System (GNSS) coordinate time series. This contribution explores the performance of different spatiotemporal filtering methods applied to GNSS networks at different spatial scales. We selected small-scale (<500 km) and large-scale (>2000 km) GNSS networks from the Crustal Movement Observation Network of China (CMONOC) for the focus of the study. To remove or mitigate CME from the different-scale GNSS networks, principal component analysis (PCA), independent component analysis (ICA) and correlation-weighted spatial filtering (CWSF) are compared. In addition, we investigate the correlations between each of the GNSS station residual time series to examine the effectiveness of the novel CME filter. When compared with PCA and ICA results, we find that CWSF is less intrusive on the data and is more effective in reducing the CME in the different-scale GNSS networks, and thus the preferred the filtering methodology. We conclude that this study could provide an important reference to remove CME from GNSS coordinate time series. [ABSTRACT FROM AUTHOR]

Previous palaeoenvironmental reconstructions have implied that East Asia was dominated by a zonal climate pattern during the Eocene, with an almost latitudinal arid/semiarid band at ~ 30° N. However, this long-standing model has recently been challenged by growing body of multidisciplinary evidence. Some studies indicated that central China was characterized by climatic fluctuations between humid and drier conditions during the Early Eocene, akin to the present East Asian monsoon (EAM) regime. Using palynological assemblages in the Tantou Basin, central China, we quantitatively reconstructed climate changes from the Late Palaeocene to Early Eocene to better understand climate change in central China. Palynological assemblages revealed that the coniferous and broad-leaved mixed forest in this area received no less than 800 mm of annual precipitation and experienced a climate change from warm and wet to relatively cool and dry. According to palaeoclimate curves, a sudden climate change occurred in the Early Eocene, with the mean annual temperature and precipitation decreasing by 5.1 °C and 214.8 mm, respectively, and the climate became very similar to the present climate, which is controlled by the monsoon. Therefore, this significant climate change during the Early Eocene may signal the emergence of the EAM in East Asia. [ABSTRACT FROM AUTHOR]

Natural gas is increasingly seen as the fossil fuel of choice for China as it transitions to renewable sources. The significant development of China's LNG vehicle application and fueling stations and the urgency of climate changes make it particularly important to quantify methane emission from LNG stations, where the data are extremely rare. We carried out a pilot study on direct measurement and quantitative analysis of methane emission from five LNG fueling stations located in Shandong, China following the standard stationary EPA OTM 33A method. The measured methane emission of these five stations vary from 0.01 to 8.76 kg/h. The loss rates vary from 0.004 to 0.257%. We demonstrated that the emission from LNG stations consist of continuous and intermittent contents. The intermittent emission shows a strong temporal variation. If a station is only monitored for 20 min, it may either under-estimate or over-estimate the total emission. Both the distribution of emission events and total emission rates among different stations are highly skewed. We found that these LNG fueling station emission can be categorized into 3 grades, as low, medium and high, corresponding to emission rates below 0.1 kg/h; between 0.1 and 1 kg/h and above 1 kg/h, which can be characterized by the measured average methane concentration enhancement. [ABSTRACT FROM AUTHOR]

Methane, as the second most emitted greenhouse gas (GHG), has a warming potential of approximately 86 times that of carbon dioxide within 20 years. Quantifying methane emissions is helpful to the country's emission reduction efforts. However, currently, there is a lack of measurement data of methane emissions from natural gas fueling stations in China. In this study, a downwind quantification approach was employed to directly measure the methane emissions of nine compressed natural gas (CNG) fueling stations in East China according to the Environmental Protection Agency's Other Test Method 33A (OTM 33A). Moreover, methane concentrations were also measured near the nozzle of the refueling dispenser and the process equipment in the station. The methane emissions of the nine stations lied within the range of 0.11–0.83 kg/h, and the distribution of the emission rate was skewed. It was found that the emissions from gas fueling stations could be divided into intermittent emissions and continuous emissions, of which the intermittent emissions were the main source of methane. [ABSTRACT FROM AUTHOR]

Main conclusion: By constructing an F2 population, a new potential dominant resistance gene to TuMV in Brassica rapa was mapped and identified. Brassica rapa is the most widely grown vegetable crop in China, and turnip mosaic virus (TuMV) is a great threat to its production. Hence, it is a very important work to excavate more and novel resistance genes in B. rapa. In this study, the resistant line B80124 and the susceptible line B80450 were used to construct the F2 populations, and through genetic analysis, the resistance to TuMV was found to be controlled by a dominant gene. Bulked segregant analysis sequence (BSA-seq) was used for the primary mapping, and an intersection (22.25–25.03 Mb) was obtained. After fine mapping using single nucleotide polymorphisms (SNP) markers, the candidate region was narrowed to 330 kb between the SNP markers A06S11 and A06S14, including eight genes relating to disease resistance. Using the transcriptome analysis and sequence identification, BraA06g035130.3C was screened as the final candidate gene, and it contained two deletion mutations, leading to frameshift in the susceptible line B80450. In addition, the phylogenetic analysis, hydrophilia and hydrophobicity analysis, subcellular location prediction analysis, amino acid bias analysis, and 3D modeling structures of BraA06g035130.3C were conducted to predict its functions. This study was conducive to the identification of a new TuMV resistance gene in B. rapa, which is of important scientific significance and application value for the improvement of TuMV resistance traits and molecular design breeding for Brassica crops. [ABSTRACT FROM AUTHOR]

The Ningdong mining area in the western Ordos Basin, China, mainly mines coal seam in Yan'an group, where its overlying rock is a thick sandstone layer of the Middle Jurassic Zhiluo Formation. This rock layer poses a direct water hazard threat to the coal mining if it is water-rich. The water abundant rock layer in the upper strata of Zhiluo Formation forms a low-resistivity overburden layer, decreasing the resolution of controlled source audio magnetotelluric (CSAMT) method in detecting water-bearing in the lower part of Zhiluo Formation sandstone layer of coal seam direct roof. Therefore, under the influence of the low resistivity overburden of the upper sandstone, how to accurately detect the aquosity of the lower sandstone layer is of great importance to the safe mining of coal mines in the region. On the basis of CSAMT detection, combined with high-resolution seismic exploration method, the joint inversion of seismic and CSAMT is realized by using cross-gradient operation between the seismic wave impedance attributes clustered by particle swarm algorithm and CSAMT inversion model. The seismic data fitting term in the joint inversion objective function is discarded, and the pseudo-2D inversion method is used for CSAMT to reduce the calculation cost of the inversion. A 3D geological model conforming to the hydrogeological characteristics of the Ningdong mining area is established, and the joint inversion test between seismic and CSAMT is conducted, proving the feasibility and applicability of joint inversion to detect the water enrichment of sandstone in this area. The accuracy of the seismic and CSAMT joint inversion results is verified by combining the engineering example of water abundance detection in the sandstone layer in Maiduoshan coal mine that accorded with the typical hydrogeological characteristics of Ningdong mining area and the results of later downhole drilling exposures, which is remarkably better than the single method. The research shows that the joint inversion of seismic and CSAMT can accurately identify the water abundance of the lower sandstone layer and its range under the influence of the upper low resistance sandstone overburden and achieve the purpose of fine detection of the water abundances of the lower sandstone layer of the Zhiluo Formation. The joint inversion can provide important safety geological guarantee for the mining of coal seams in the Ningdong mining area in the western part of Ordos Basin. [ABSTRACT FROM AUTHOR]

Estimates of grassland aboveground biomass (AGB) upscaled from the plot level to broad scales are lacking extrapolation robustness across grassland biomes. This is because the coupling relationships between diverse driving variables and model forms are poorly understood and/or are not robustly defined. Here, using 17,421 in situ ground-truth AGB samples and 31 driving variables generated from Sentinel-1/2 satellite images and climatic-topographical-soil data, we explored the coupling relationships among these multifaceted driving variables and 6 machine learning (ML) algorithms in AGB upscaling estimates across 18 grassland types in China. Monte Carlo simulations indicated that these 31 multifaceted driving variables did not enhance the performance of the ML algorithms in AGB modeling and that prioritizing climatic factors at a 10 km resolution and the satellite enhanced vegetation index (EVI) at a 10 m resolution have scale effects; the former dominates the variation in grassland AGB among 18 grassland types, and the latter reflects local heterogeneity. ML algorithms prevalently suffer from saturation convergence, and the underrepresentation of training samples leads to instability in ML establishment when constrained to a specific grassland type. Among the 6 ML algorithms, the random forest (RF) algorithm outperformed the other methods in terms of the mean absolute error (MAE) during iterative training; however, the best performance strongly relies on saturated training, with an R2 of 0.68 over all grasslands in China. Finally, based on the optimal estimate of grassland AGB using RF (0.25 Pg C) and both belowground biomass (1.52 Pg C) inferred from the ratio of roots to shoots (R/S) of the 18 grassland types and the approximate intake of grazing animals (0.02 Pg C), the plant-based carbon stock over Chinese grasslands is estimated to be 1.79 Pg C. This study emphasizes that to untangle the limitations of using ML approaches, the robustness of model training and the complementary effect between climatic factors and satellite metrics should be considered when upscaling estimates of grassland AGB. • An ML scheme was developed to scale up the AGB estimates across 18 grassland types. • The coupling relationships between diverse driving variables and AGB were clarified. • Coarse precipitation and EVI have a complementary role in modeling AGB variation. • The saturated training of ML guarantees converging robustness among grassland types. • The plant-based carbon stock in Chinese grasslands was estimated to be 1.79 Pg C. [ABSTRACT FROM AUTHOR]

Mine roof water (water in the overlying aquifers of coal seam) seriously threatens the safe production of coal mines in the Ordos Basin in China. Transient electromagnetic (TEM) and seismic methods are the two key methods of mine roof water detection. To exploit the advantage of each method, the seismic-constrained TEM method is proposed. First, the seismic-constrained TEM inversion algorithm was constructed by adding a cross-gradient function to the pseudo-2D TEM inversion algorithm. The cross-gradient function makes the structures of the TEM and seismic models consistent in inversion. To match the seismic and TEM model grids, the interpolation of the seismic impedance model was proposed. Then, the proposed algorithm was successfully used in the Maiduoshan coal mine in the Ordos Basin. Data acquisition, seismic-constrained TEM inversion and interpretation were carried out. Seventeen boreholes were drilled to verify the interpretation results, and the drilling results are consistent with the detection results. Finally, the seismic-constrained and single TEM methods were compared. Results show that the seismic-constrained TEM method is superior to the single TEM method. The structural consistency of the resistivity and seismic impedance models increases in the seismic-constrained TEM inversion and decreases in the single TEM inversion. Seismic-constrained TEM inversion can add the stratigraphic structure information provided by the seismic method to the TEM inversion, thereby improving the inversion results. [ABSTRACT FROM AUTHOR]

Industrial transformation (IT) is the inevitable course for the sustainable development of resource-based cities, while digital inclusive finance (DIF) provides essential capital elements for industrial transformation. Based on the panel data of 115 resource-based cities in China from 2011 to 2019, this paper discusses the influence mechanism of digital inclusive finance on industrial transformation from the perspectives of the optimization of industrial structure (OIS) and the rationalization of industrial structure (RIS). The empirical results show that digital inclusive finance has a positive effect on both the optimization of industrial structure and the rationalization of industrial structure. Digital inclusive finance influences industrial transformation through residents' income and technological innovation. In addition, in the analysis of income gap and innovation gap, low-income regions have a better effect on the industrial transformation of industrial structure optimization, while high-income regions have a better effect in manufacturing upgrading, thus resulting in a more significant effect of industrial transformation on the rationalization of industrial structure. Obviously, the development of high-innovation regions has relative advantages with more channels for industrial transformation, which have significant effect of industrial transformation. Therefore, it is necessary to provide differentiated reform on the basis of unified development reform. [ABSTRACT FROM AUTHOR]

Objective. The objective of this study is to explore the application of a very important person (VIP) intervention mode in patients with advanced tumors in the western region of China. Methods. One hundred and sixty-three patients were randomly divided into a control and experimental groups. The control group received routine care, and the experimental group received VIP future care. The willingness to end-of-life treatment, decision-making certainty, and quality of life were compared between the two groups before intervention (T0), after intervention (T1), and 1 month after intervention (T2). Results. There were no significant differences in the basic data of the two groups. Unlike the control group, the experimental group preferred palliative care at the end of T1 (P < 0.05), and the acceptance rate of cardiopulmonary resuscitation and mechanical treatment decreased significantly. After the VIP intervention, the patient was transferred to the intensive care unit (ICU) (P < 0.05). After 1 month of intervention (T2), the results showed that the overall quality of life, physical discomfort, negative emotions, care and support, survival predicament, and lifetime value of the patients were significantly higher than those before the intervention (all P < 0.05). Decision certainty results showed that the differences between the T0, T1, and T2 time points and the interaction between groups and time were statistically significant, and the interaction was more significant at T2 (P < 0.05). Conclusion. VIP future care can change patients' wishes for end-of-life care, improve patients' and quality of life, and increase patient decision-making certainty. [ABSTRACT FROM AUTHOR]

As an important embodiment of a country's economic strength and national health, pharmaceutical manufacturing industry has made rapid development in China in recent years. But at the same time, the pharmaceutical manufacturing industry is facing many environmental problems, such as large pollution emissions, complex pollution components, controlling difficulties and so on. This paper measures the total factor productivity of pharmaceutical manufacturing industry (HTFP) by using data envelopment analysis with unexpected output, which is more accurate and effective than the traditional model. It also studies the effect of environmental regulation on the total factor productivity of pharmaceutical manufacturing industry (HTFP) by establishing panel data regression model and spatial econometric model based on 30 provinces in China from 2004 to 2019, which enriches the research results in the field of cleaning in pharmaceutical manufacturing industry. The conclusions are as follows: (1) Environmental regulation and total factor productivity of pharmaceutical manufacturing industry have significant spatial autocorrelation, showing "high-high" or "low-low" spatial aggregation characteristics; (2) Environmental regulation has a significant promoting effect on improving pharmaceutical manufacturing total factor productivity in local and surrounding areas, and there are differences in the impact of eastern, central and western regions; (3) Green technology, production technology and industrial structure play an important role in the impact of environmental regulation on pharmaceutical manufacturing total factor productivity, which provides theoretical guidance and policy recommendations for improving the level of total factor productivity of pharmaceutical manufacturing industry in the environmental aspect. [ABSTRACT FROM AUTHOR]

Fire disturbance can affect the function of the boreal forest ecosystem through litter decomposition and nutrient element return. In this study, we selected the Larix gmelinii forest, a typical forest ecosystem in boreal China, to explore the effect of different years (3 years, 9 years, 28 years) after high burn severity fire disturbance on the decomposition rate (k) of leaf litter and the Carbon:Nitrogen:Phosphorus (C:N:P) stoichiometry characteristics. Our results indicated that compared with the unburned control stands, the k increased by 91–109% within 9 years after fire disturbance, but 28 years after fire disturbance the decomposition rate of the upper litter decreased by 45% compared with the unburned control stands. After fire disturbance, litter decomposition in boreal forests can be promoted in the short term (e.g., 9 years after a fire) and inhibited in the long term (e.g., 28 years after a fire). Changes in litter nutrient elements caused by the effect of fire disturbance on litter decomposition and on the C, N, and C:N of litter were the main litter stoichiometry factors for litter decomposition 28 years after fire disturbance. The findings of this research characterize the long-term dynamic change of litter decomposition in the boreal forest ecosystem, providing data and theoretical support for further exploring the relationship between fire and litter decomposition. [ABSTRACT FROM AUTHOR]

Cyclocarya paliurus (Batal.) Iljinskaja is a special plant species grown at high elevation in southwestern China. The bark, leaves, and roots are used for many purposes including reduction of fever and enhancement of blood insulin level. However, its growth is usually limited by the fragile environment and climate variability. Previous studies attributed the environment‐relevant yield reductions to stress induced gene expression changes. The accuracy and reliability of reverse transcription quantitative polymerase chain reaction (RT‐qPCR), a commonly accepted gene expression method, depends on the choice of appropriate reference genes, which are used for gene expression normalization. However, there are no reports at present about reference genes of C. paliurus under environmental stresses. Therefore, this study was conducted to identify reference genes for C. paliurus under environmental stresses. In this work, we selected seven common reference genes as our candidates: ACT2, ACTF, GAPDH, TUA, TUB, UBQ4, and 18SrRNA. The stability of these seven reference genes in C. paliurus was quantified by RT‐qPCR and evaluated by geNorm and NormFinder algorithms. The results suggest that although there were variations of the stability of the internal reference genes, two of them were usually good enough for the normalization purpose for low temperature (4 °C), high salinity (NaCl), and drought stress (polyethylene glycol [PEG] treatment). However, these genes should not be used for high‐temperature (42 °C) stress. This study provides insight for reference gene selection under experimental stresses in C. paliurus. It also sets the foundation of wide and accurate use of RT‐qPCR under environmental stresses. Core Ideas: The optimal number of reference genes under different abiotic stresses in Cyclocarya was determined.The average expression stability values (M) of internal reference gene were determined.GAPDH was identified as the best reference gene in the current research.TUB is the most unstable gene via agrose gel electrophoresis and RT‐qPCR.This study summarizes the optimal reference genes in crop plants. [ABSTRACT FROM AUTHOR]

The fixed-wing time-domain airborne electromagnetic method (FTEM) has been widely used in metal mining exploration, groundwater mapping and other fields worldwide, and in recent decades, its use has gradually also become more prevalent in China. The first generation of the fixed-wing time-domain airborne electromagnetic system (iFTEM-I), researched and developed by the Institute of Geophysical and Geochemical Exploration (IGGE), has been demonstrated in recent years. In this article, we introduce the brief working principle and system parameters of iFTEM-I, and we show that the effective prospecting depth of iFTEM-I is up to 350 m, which is indicated by a comparison of the results between iFTEM-I and a ground TEM system (TEM-30B) carried out in Binxian. [ABSTRACT FROM AUTHOR]

Stipa shanxiensis, a cryptic species within Stipa grandis that originated from central and western China, is described based on morphological, genomic, and ecological data from field and common garden experiments. Stipa shanxiensis morphologically resembles S. grandis, although phylogenetically it is closely related to the less morphologically similar Stipa baicalensis and Stipa krylovii. Of the eight significant morphological differences between S. shanxiensis and S. grandis, the two, cauline ligules longer than 2 cm with a filiform apex, and hairs shorter than 0.2 mm on the adaxial surface of the cauline uppermost leaves can be used to distinguish the species. Results from a common garden experiment verified that the two diagnostic characteristics were relatively stable and less morphologically plastic in response to environmental variation. Furthermore, a significant ecological divergence was found between S. shanxiensis and S. grandis, such that the former preferred warmer and more humid climates, and their predicted distribution was generally separated. Taken together, our results highlight that the integrative taxonomic approach was valuable for recognizing a new cryptic species in Stipa. In particular, we find that common garden experiments involving the effects of growth stage and characteristic position helped to morphologically diagnose cryptic species. These findings may also facilitate our understandings of ecological adaption and phenotypic plasticity in response to environmental change. [ABSTRACT FROM AUTHOR]