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Introduction: Adrenal hemorrhage (AH) is a rare condition and severe cases can lead to acute adrenal insufficiency with potentially life-threatening consequences. AH can be caused by a variety of etiologic factors, including systemic lupus erythematosus and antiphospholipid syndrome (APS). The early identification and treatment of these patients improves their prognosis. Objective: The aims of this study were to analyze and summarize the clinical characteristics of systemic lupus erythematosus patients with AH. Methods: The clinical characteristics of 6 systemic lupus erythematosus patients complicated with AH admitted to Peking Union Medical College Hospital and Beijing Shijitan Hospital from May 2004 to April 2022 were retrospectively analyzed. Results: The diagnosis of AH was based on computed tomography (CT) findings. Two patients had bilateral lesions, and the other 4 patients had unilateral lesions. The symptoms of adrenal insufficiency were observed in 2 patients. The frequent presenting symptoms were abdominal pain, lower abdominal distension, vomiting, weakness, fever, arthrodynia, and skin rash. Four patients had APS. Five patients (4 patients with APS and 1 patient without APS) had thromboembolic events. All patients received glucocorticoid and immunosuppressant therapy. Five patients were treated with anticoagulant therapy. Follow-up imaging examinations showed a partial or total regression of the lesions after treatment. Conclusions: In the proper clinical setting, having high clinical suspicion for AH, early diagnosis and timely management is crucial to avoid life-threatening adrenal insufficiency. Key Points • AH is a rare condition and severe cases may lead to death. It can be caused by a variety of etiologic factors, including SLE. • In patients with SLE, especially combined with APS, if they complain of abdominal pain, particularly when common gastrointestinal involvement is difficult to explain, a high index of clinical suspicion is needed for the diagnosis of AH. • Early identification of AH in SLE patients can improve their prognosis. [ABSTRACT FROM AUTHOR]

Co3O4 nanoparticles were sandwiched into interlayers between ZIF‐8 and ZIF‐67 to form ZIF‐Co3O4@ZIF precursors. Pyrolysis of ZIF‐Co3O4@ZIF yielded an urchin‐like hierarchically porous carbon (Co@CNT/NC), the thorns of which were carbon nanotubes embedded Co nanoparticles. With large specific surface area and hierarchically porous structure, as‐prepared Co@CNT/NC exhibited excellent bifunctional oxygen electrocatalytic performances. It has good ORR performance with E1/2 of 0.85 V, which exceeds the Pt/C half‐wave potential (E1/2=0.83 V). In addition, Co@CNT/NC has an OER performance close to that of RuO2. To further demonstrate the effect of Co modifying on the properties, the samples were subjected to acid washing treatment. Co‐based nanoparticles were proved to After acid washing, there was obvious loss of Co particles in Co@CNT/NC, resulting in poor oxygen electrocatalysis. So, the pyrolysis products of ZIF‐8‐Co3O4@ZIF‐67 retained large specific surface area and porous structure can be retained, and on the other hand, the carbon tube structure and original polyhedron framework. Besides, existence of Co nanoparticle@carbon nanotube provided more active sites and improved the ORR and OER performances. [ABSTRACT FROM AUTHOR]

Objectives: The prevention of mother‐to‐child transmission of HIV has been a global success. But little is known about the growth parameters of infants delivered by mothers with HIV or the drug resistance of infants with HIV in China. The study aimed to assess growth parameters and drug resistance in Chinese infants exposed to HIV. Methods: We conducted an 18‐month longitudinal follow‐up study of 3283 infants (3222 without HIV; 61 with HIV) born to mothers with HIV in the Guangxi Zhuang Autonomous Region between January 2015 and December 2021. The weight and length of all participants was recorded. In addition, genetic subtypes and drug resistance analysis were performed for infants with HIV. Results: Compared with infants without HIV, those with HIV had significantly lower weight/length Z‐scores, except at 18 months of age. The length/age Z‐scores of infants with HIV was significantly reduced, except at 1 month of age. The weight/age Z‐scores of infants with HIV were significantly lower at all follow‐up time points. The weight/length Z‐scores of male infants without HIV were significantly lower than for female infants without HIV at all follow‐up time points. Male infants without HIV had lower length/age and weight/age Z‐scores than female infants at the remaining follow‐up points, except at 1 month of age. Of a total of 61 infants with HIV, subtype and drug‐resistance data were obtained from 37 (60.66%) samples. Infants with HIV were dominated by the CRF01_AE genotype and showed a diversity of mutation sites dominated by non‐nucleoside reverse transcriptase inhibitor resistance. Conclusion: Our study demonstrates the growth of infants exposed to HIV in southwest China and provides detailed information on subtype distribution and drug resistance of those with HIV. Nutritional support and drug‐resistance surveillance for infants exposed to HIV need to be strengthened. [ABSTRACT FROM AUTHOR]

Vortex electromagnetic wave radar carrying orbital angular momentum can compensate for the deficiency of planar electromagnetic wave radar in detecting motion parameters perpendicular to the direction of electromagnetic wave propagation, thus providing more information for target recognition, which has become a hot research field in recent years. However, existing research makes it difficult to obtain the acceleration and rotation centers of targets under non-quasi-axial incidence conditions of vortex electromagnetic waves. Based on this, this article proposes a variable speed motion target parameter extraction method that combines single element and total element echoes. This method can achieve three-dimensional information extraction of radar targets based on a uniform circular array (UCA). Firstly, we establish a non-quasi-axis detection echo model for variable-speed moving targets and extract echoes from different array elements. Then, a single element echo is used to extract the target's range slow time profile and obtain the target's rotation center z coordinate. We further utilize the target linear, angular Doppler frequency shift extremum, and median information to extract parameters such as target acceleration, tilt angle, rotation radius, and rotation center x and y coordinates. We analyzed the impact of different signal-to-noise ratios and motion states on parameter extraction. The simulation results have verified the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

This study attempted to examine the mechanism of the impact of Addiction-Prone Personality (APP) on creative cognitive styles (idea generation, idea selection), especially to explore the mediating role of novelty seeking and the moderating role of depression tendency on the relationship between APP and creative cognitive styles. College students (N = 576, 79% female) participated in and completed measures of APP, idea generation and selection, novelty seeking, and depression tendency. Results showed that (1) APP was positively related with idea generation while negatively related with idea selection; (2) novelty seeking played a partial mediating role in the relationship between APP and idea generation and a suppressing effect between APP and idea selection; (3) depression tendency moderated the indirect relationship between APP and creative cognitive styles through novelty seeking. Therefore, APP has different indirect effects on idea generation and idea selection via novelty seeking. When there was a higher depression tendency, there was a stronger indirect effect. The study highlights the significant importance of the underlying processes between APP and creative cognitive styles and offers implications for rethinking the relationship between addiction and creativity. [ABSTRACT FROM AUTHOR]

Supercapacitors, distinguished by their high power density, rapid charge‐discharge rates, and prolonged cycle life, hold significant promise in various technological applications. However, limited lower energy density still hinder their practical application. Enhancing intrinsic conductivity by smart choice of elemental combination along with design of nanostructures has the potential to significantly improve the electrochemical performance. Herein, a self‐template method was used for the synthesis of Zn‐doped hydrolyzed NiCo‐glycerate nanosphere (ZnNiCo−G−H) electrode material, assembled with a large number of nanosheets by simple hydrothermal reaction, which can provide abundant active sites and thus achieve superior electrochemical performance. The optimized electrode material displayed a specific capacitance of 1145 F g−1 at 1 A g−1. The fabricated asymmetric supercapacitor, composed of ZnNiCo−G−H and activated carbon as two electrodes, delivered excellent cycling performance with a capacitance retention of 93.8 % after 5000 cycles at the current density of 5 A g−1 and a high energy density of 40 Wh kg−1 at 825 W kg−1, offering great potential as a qualified candidate for the electrochemical energy storage devices. [ABSTRACT FROM AUTHOR]

This study analyzed the NHANES database (2016–2018), investigating substance use patterns among 6,108 U.S. adults (18–64 years), with a focus on health insurance, race/ethnicity, age, gender, and socioeconomic status. Among participants, 1,063 reported a history of substance use. A key finding was the correlation between health insurance coverage and substance use history; notably, 80% of those with a history of substance use were insured. Non-Hispanic Whites represented a significant proportion (76%) of substance users, exceeding their population representation. Age and gender differences were prominent, with older adults (50–64 years) comprising 41% of substance users, and males accounting for 61%. The study's reliance on self-reported substance use history from NHANES may introduce measurement bias. Such bias necessitates careful interpretation of the data, considering variations across demographic and socioeconomic variables. Logistic regression analysis revealed that lacking health insurance increased the odds of a history of substance use (OR = 1.43, p <.01). The interaction between insurance coverage and race/ethnicity was not significant. These findings underscore the multifaceted nature of substance use, highlighting the need for comprehensive public health strategies to address the diverse factors influencing substance use behaviors. [ABSTRACT FROM AUTHOR]

Background: Accurately predicting post-discharge mortality risk in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI) remains a complex and critical challenge. The primary objective of this study was to develop and validate a robust risk prediction model to assess the 12-month and 24-month mortality risk in STEMI patients after hospital discharge. Methods: A retrospective study was conducted on 664 STEMI patients who underwent PPCI at Xiangtan Central Hospital Chest Pain Center between 2020 and 2022. The dataset was randomly divided into a training cohort (n = 464) and a validation cohort (n = 200) using a 7:3 ratio. The primary outcome was all-cause mortality following hospital discharge. The least absolute shrinkage and selection operator (LASSO) regression model was employed to identify the optimal predictive variables. Based on these variables, a regression model was constructed to determine the significant predictors of mortality. The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA). Results: The prognostic model was developed based on the LASSO regression results and further validated using the independent validation cohort. LASSO regression identified five important predictors: age, Killip classification, B-type natriuretic peptide precursor (NTpro-BNP), left ventricular ejection fraction (LVEF), and the usage of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers/angiotensin receptor-neprilysin inhibitors (ACEI/ARB/ARNI). The Harrell's concordance index (C-index) for the training and validation cohorts were 0.863 (95% CI: 0.792–0.934) and 0.888 (95% CI: 0.821–0.955), respectively. The area under the curve (AUC) for the training cohort at 12 months and 24 months was 0.785 (95% CI: 0.771–0.948) and 0.812 (95% CI: 0.772–0.940), respectively, while the corresponding values for the validation cohort were 0.864 (95% CI: 0.604–0.965) and 0.845 (95% CI: 0.705–0.951). These results confirm the stability and predictive accuracy of our model, demonstrating its reliable discriminative ability for post-discharge all-cause mortality risk. DCA analysis exhibited favorable net benefit of the nomogram. Conclusion: The developed nomogram shows potential as a tool for predicting post-discharge mortality in STEMI patients undergoing PPCI. However, its full utility awaits confirmation through broader external and temporal validation. [ABSTRACT FROM AUTHOR]

Waxgels are known for their unique ability to generate sacrificial wax layers during anti-icing. To address the severe slow regrowth of the wax layer, here, carbon black is incorporated in the waxgel network to endow photothermal function. The rate of the regrowth of the wax layer is raised by >6 times under natural light conditions. Meanwhile, the photothermal waxgel showed improved anti-icing performances in terms of delayed ice formation and lower ice adhesion strength. [ABSTRACT FROM AUTHOR]

Extant research has popularized the perspective that strong network effects produce "winner-take-all" outcomes, which leads platforms to invest in user growth and encourages investors to subsidize these platforms. However, user growth does not necessarily imply strong user stickiness. Without user stickiness, strong network effects in the current period may fade in future periods, thus rendering a user growth strategy ineffective. By adding a time dimension to network effects, we developed a model of cross-period and within-period network effects to explain how different types of network effects drive value. We emphasize that the cross-period same-side network effect contributes to user stickiness, while the within-period cross-side network effect persists conditional on user stickiness. We propose that one reason for platforms having heterogeneous cross-period same-side network effects is because of the "product learning" mechanism: it is expected that products with higher uncertainty have a stronger cross-period same-side network effect. Based on different drivers, we extend the customer lifetime value model (CLV2) to two-sided platform markets, allowing us to measure how different interventions drive platform value. Using Groupon data, we verify our insights and discuss platform design choices that enhance user stickiness when the cross-period same-side network effect is weak. [ABSTRACT FROM AUTHOR]

C4 photosynthesis outperforms C3 photosynthesis in natural ecosystems by maintaining a high photosynthetic rate and affording higher water-use and nitrogen-use efficiencies. C4 plants can survive in environments with poor living conditions, such as high temperatures and arid regions, and will be crucial to ecological and agricultural security in the face of global climate change in the future. However, the genetic architecture of C4 photosynthesis remains largely unclear, especially the genetic regulation of C4 Kranz anatomy. Haloxylon ammodendron is an important afforestation tree species and a valuable C4 wood plant in the desert region. The unique characteristic of H. ammodendron is that, during the seedling stage, it utilizes C3 photosynthesis, while in mature assimilating shoots (maAS), it switches to the C4 pathway. This makes an exceptional opportunity for studying the development of the C4 Kranz anatomy and metabolic pathways within individual plants (identical genome). To provide broader insight into the regulation of Kranz anatomy and non-Kranz leaves of the C4 plant H. ammodendron , carbon isotope values, anatomical sections and transcriptome analyses were used to better understand the molecular and cellular processes related to the development of C4 Kranz anatomy. This study revealed that H. ammodendron conducts C3 in the cotyledon before it switches to C4 in AS. However, the switching requires a developmental process. Stable carbon isotope discrimination measurements on three different developmental stages showed that young AS have a C3-like δ13C even though C4 Kranz anatomy is found, which is inconsistent with the anatomical findings. A C4-like δ13C can be measured in AS until they are mature. The expression analysis of C4 key genes also showed that the maAS exhibited higher expression than the young AS. In addition, many genes that may be related to the development of Kranz anatomy were screened. Comparison of gene expression patterns with respect to anatomy during leaf ontogeny provided insight into the genetic features of Kranz anatomy. This study helps with our understanding of the development of Kranz anatomy and provides future directions for studies on key C4 regulatory genes. [ABSTRACT FROM AUTHOR]

The huge amount of graph data necessitates sampling methods to support graph-based analysis applications. Node influence is to count the influential nodes with a given node in large graphs that has wide applications including product promotion and information diffusion in social networks. However, existing sampling methods mainly consider node degree to compute the node influence while ignoring the important connections in terms of groups in which nodes participate, resulting in inaccuracy of influence estimations. To this end, this paper proposes group sampling, called GVRW, to count the groups along with node degrees to evaluate node influence in large graphs. Specifically, GVRW changes the way of random walker traversing a large graph from one node to a random neighbor node of the groups to enlarge the sampling space for the sake of characterizing the nodes and groups simultaneously. Furthermore, we carefully design the corresponding estimated method to employ the samples to estimate the specific distributions of groups and node degrees to compute the node influence. Experimental results on real-world graph datasets show that our proposed sampling and estimating methods can accurately obtain the properties and approximate the node influences closer to the real values than existing methods. [ABSTRACT FROM AUTHOR]

Maintaining the stability of noble metals is the key to the long-term stability of supported catalysts. In response to the instability of noble metal species at high temperatures, we developed a synergistic strategy of dual oxide supports. By designing and constructing ceria components with small sizes, we have achieved unity in the ability of catalytic materials to supply oxygen and stabilize metal species. In this study, we prepared Al2O3-CeO2-Pd (AlCePd) catalysts containing trace amounts of Ce through the hydrolysis of cerium acetate, which achieved 100% CO conversion at 160 °C. More importantly, the activity remained at its initial 100% in the long-term durability testing, demonstrating the high stability of AlCePd. In contrast, the CO conversion of the CeO2-Pd (CePd) catalyst decreased from 100% to 54% within 3 h. Through comprehensive studies, we found that this excellent catalytic performance stems from the stabilizing effect of an alumina support and the possible reverse oxygen spillover effect of small-sized ceria components, where small-sized ceria components provide active oxygen for independent Pd species, making it possible for the CO adsorbed on Pd to react with this oxygen species. [ABSTRACT FROM AUTHOR]

This study aimed to clarify the existence of the mild obesity paradox in patients with ST-segment elevation myocardial infarction (STEMI) and assess the impact of mild obesity on the prognosis of STEMI. A retrospective cohort study was conducted on STEMI patients who underwent percutaneous coronary intervention at Xiangtan Central Hospital from January 1, 2020 to July 31, 2022. After excluding individuals with a body mass index (BMI) of no less than 35 kg/m2, subjects were divided into the mildly obese group (BMI, 30–35 kg/m2) and non-obese group (BMI < 30 kg/m2). The cardiovascular events and death were deemed the composite endpoints and were employed as the outcome event. The study recruited 664 patients with STEMI, including 515 males and 149 females. The mildly obese group of male patients exhibited a lower incidence of composite endpoints than the non-obese group (22.4% vs. 41.3%, P < 0.001). For female patients, no significant difference was observed in the incidence of composite endpoints between the two groups (43.6% vs. 43.8%, P = 0.987). After adjusting for confounding factors, the multivariable Cox regression analysis revealed mild obesity as an independent protective factor for male patients [hazard ratio (HR) 0.47; 95% confidence interval (CI) 0.32–0.69; P < 0.001]. Nevertheless, mild obesity was not associated with the prognosis of female patients (HR 0.96; 95% CI 0.47–1.94; P = 0.9). In male STEMI patients, mild obesity presented a paradoxical effect in improving the prognosis and functioned as an independent protective factor for the prognosis of STEMI. However, no association between mild obesity and prognosis was found in female patients, possibly due to distinct physiological and metabolic characteristics between male and female patients, which deserved further investigation and validation. [ABSTRACT FROM AUTHOR]

Abstract.This article gives large sample theory for the one component partial least squares estimator, including some hypothesis tests for high dimensional data, under much weaker conditions than those in the literature. Simple theory is also given for some data splitting estimators and the marginal maximum likelihood estimators. It is shown that lasso, one component partial least squares, and ordinary least squares often estimate different population multiple linear regression models. The article also proves that there are often many valid population models for regression methods such as binary regression. [ABSTRACT FROM AUTHOR]

In the context of the resource allocation hypothesis regarding the trade-off between growth and defence, compared with native species, invasive species generally allocate more energy to growth and less energy to defence. However, it remains unclear how global change and nutrient enrichment will influence the competition between invasive species and co-occurring native species. Here, we tested whether nitrogen (N) and phosphorus (P) addition under elevated CO2 causes invasive species (Mikania micrantha and Chromolaena odorata) to produce greater biomass, higher growth-related compounds and lower defence-related compounds than native plants (Paederia scandens and Eupatorium chinense). We grew these native and invasive species with similar morphology with the addition of N and P under elevated CO2 in open-top chambers. The addition of N alone increased the relative growth rate (RGR) by 5.4% in invasive species, and its combination with P addition or elevated CO2 significantly increased the RGR of invasive species by 7.5 or 8.1%, respectively, and to a level higher than that of native species (by 14.4%, P  < 0.01). Combined N + P addition under elevated CO2 decreased the amount of defence-related compounds in the leaf, including lipids (by 17.7%) and total structural carbohydrates (by 29.0%), whereas it increased the growth-related compounds in the leaf, including proteins (by 75.7%), minerals (by 9.6%) and total non-structural carbohydrates (by 8.5%). The increased concentrations of growth-related compounds were possibly associated with the increase in ribulose 1,5-bisphosphate carboxylase oxygenase content and mineral nutrition (magnesium, iron and calcium), all of which were higher in the invasive species than in the native species. These results suggest that rising atmospheric CO2 concentration and N deposition combined with nutrient enrichment will increase the growth of invasive species more than that of native species. Our result also suggests that invasive species respond more readily to produce growth-related compounds under an increased soil nutrient availability and elevated CO2. [ABSTRACT FROM AUTHOR]

Chiral plasmonic nanoparticles have attracted much attention because of their strong chiroptical responses and broad scientific applications. However, the types of chiral plasmonic nanoparticles have remained limited. Herein we report on a new type of chiral nanoparticle, chiral Au nanorod (NR) with five‐fold rotational symmetry, which is synthesized using chiral molecules. Three different types of Au seeds (Au elongated nanodecahedrons, nanodecahedrons, and nanobipyramids) are used to study the growth behaviors. Different synthesis parameters, including the chiral molecules, surfactant, reductant, seeds, and Au precursor, are systematically varied to optimize the chiroptical responses of the chiral Au NRs. The chiral scattering measurements on the individual chiral Au NRs and their dimers are performed. Intriguingly, the chiroptical signals of the individual chiral Au NRs and their end‐to‐end dimers are similar, while those of the side‐by‐side dimers are largely reduced. Theoretical calculations and numerical simulations reveal that the different chiroptical responses of the chiral NR dimers are originated from the coupling effect between the plasmon resonance modes. Our study enriches chiral plasmonic nanoparticles and provides valuable insight for the design of plasmonic nanostructures with desired chiroptical properties. [ABSTRACT FROM AUTHOR]

Chiral plasmonic nanoparticles have attracted much attention because of their strong chiroptical responses and broad scientific applications. However, the types of chiral plasmonic nanoparticles have remained limited. Herein we report on a new type of chiral nanoparticle, chiral Au nanorod (NR) with five‐fold rotational symmetry, which is synthesized using chiral molecules. Three different types of Au seeds (Au elongated nanodecahedrons, nanodecahedrons, and nanobipyramids) are used to study the growth behaviors. Different synthesis parameters, including the chiral molecules, surfactant, reductant, seeds, and Au precursor, are systematically varied to optimize the chiroptical responses of the chiral Au NRs. The chiral scattering measurements on the individual chiral Au NRs and their dimers are performed. Intriguingly, the chiroptical signals of the individual chiral Au NRs and their end‐to‐end dimers are similar, while those of the side‐by‐side dimers are largely reduced. Theoretical calculations and numerical simulations reveal that the different chiroptical responses of the chiral NR dimers are originated from the coupling effect between the plasmon resonance modes. Our study enriches chiral plasmonic nanoparticles and provides valuable insight for the design of plasmonic nanostructures with desired chiroptical properties. [ABSTRACT FROM AUTHOR]

Background: Behavioral lifestyles are important social determinants of health. The impact of changes in living arrangements on behavioral lifestyles is currently under-explored. This study aims to examine the association between living arrangements and health risk behaviors among the Hakka older adults. Methods: Data were extracted from China's Health-Related Quality of Life Survey for Older Adults 2018. Living arrangements were divided into five categories: living alone, living with spouse only, living with child, mixed habitation, and others. Five health risk behaviors, including unhealthy dietary patterns, drinking, smoking, irregular sleep practices, and physical inactivity were measured. Logistic regression analysis was used to assess the association between living arrangements and specific health risk behaviors, and generalized linear models were established to test the association between living arrangements and the number of health risk behaviors. Results: A total of 1,262 Hakka older adults were included in this study. Compared to those living alone, those living with spouse only were less likely to have unhealthy dietary patterns (OR = 0.45, P < 0.05) and drinking (OR = 0.50, P < 0.05), those living with the child were less likely to experience unhealthy dietary patterns (OR = 0.35, P < 0.001), drinking (OR = 0.32, P < 0.001), smoking (OR = 0.49, P < 0.05), and physical inactivity (OR = 0.13, P < 0.01). Moreover, those who were living with child (β = -0.78, P < 0.001) or mixed habitation (β = -0.33, P < 0.05) tended to engage in fewer health risk behaviors than those living alone. Conclusions: This study suggests significant differences in health risk behaviors among the Hakka older adults with different living arrangements. Living with the child could reduce the occurrence of health risk behaviors in the Hakka older adults and thus maintain their health status. [ABSTRACT FROM AUTHOR]

In this note, the main emphasis is to study two kinds of high-order fractional p-Laplacian differential equations with mixed derivatives, which include Caputo type and Riemann–Liouville type fractional derivative. Based on fixed point theorems on the cone, the existence-uniqueness of positive solutions for equations and two iterative schemes to uniformly approximate the unique solutions are discussed theoretically. What's more, the sufficient conditions for stability of the equations are given. Some exact examples are further provided to verify the analytical results at the end of the article. [ABSTRACT FROM AUTHOR]

Electrochemical CO2 reduction (CO2RR) is a prospective but challenging method to decrease the CO2 concentration in the current atmosphere; in particular, the poor selectivity of the target product CO and large overpotentials limit its efficiency. Herein, we propose a top-down route to synthesize Bi single atoms (SAs) anchored by N-doped carbon (NCbox) nanoboxes starting from BiOCl nanoplates as the hard templates. In the CO2RR, the obtained Bi single-atom catalyst possesses remarkably-enhanced catalytic performance, achieving a maximal Faraday efficiency (FE) of 91.7% at −0.6 V, which is much higher than that of NCbox-supported Bi nanoparticles (NPs). Further investigations point out that the enhancement can be attributed to the unique coordination structure of the Bi SAs, as well as the fascinating properties of NCbox that can efficiently promote the electron transfer during the electro-catalysis. [ABSTRACT FROM AUTHOR]

In this paper, we study a system of multiple positive solutions and stability results for nonlinear fractional delay differential equations involving p$$ p $$‐Laplacian operator. We derived adequate conditions to ensure that at least three nonnegative solutions exist by applying the conditions of the Leggett–Williams fixed‐point theory and some Green function properties. Due to a small change in time‐delay, we analyzed the Hyers–Ulam stability‐type of the equation. We used Riemann–Liouville fractional differential definition, and we assumed that nonzero delay ϑ>0$$ \vartheta >0 $$. In addition, for application purpose, comprehensive examples are given to ensure the effectiveness and feasibility of the results in this paper. Our proposed equation generalize some literature in the system. [ABSTRACT FROM AUTHOR]

Human embryonic stem cells (hESCs) have great potential for developmental biology and regenerative medicine. However, extensive apoptosis often occurs when hESCs respond to various stresses or injuries. Understanding the molecular control and identifying new factors associated with hESC survival are fundamental to ensure the high quality of hESCs. In this study, we report that PRPF8, an RNA spliceosome component, is essential for hESC survival. PRPF8 knockdown (KD) induces p53 protein accumulation and activates the p53 pathway, leading to apoptosis in hESCs. Strikingly, silencing of p53 rescues PRPF8 KD‐induced apoptosis, indicating that PRPF8 KD triggers hESC apoptosis through activating the p53 pathway. In search for the mechanism by which p53 pathway is activated by PRPF8 KD, we find that PRPF8 KD alters alternative splicing of many genes, including PIRH2 which encodes an E3 ubiquitin ligase of p53. PIRH2 has several isoforms such as PIRH2A, PIRH2B, and PIRH2C. Intriguingly, PRPF8 KD specifically increases the transcript level of the PIRH2B isoform, which lacks a RING domain and E3 ligase activity. Functionally, PIRH2B KD partially rescues the reduction in cell numbers and upregulation of P21 caused by PRPF8 KD in hESCs. The finding suggests that PRPF8 controls alternative splicing of PIRH2 to maintain the balance of p53 pathway activity and survival of hESCs. The PRPF8/PIRH2/p53 axis identified here provides new insights into how p53 pathway and hESC survival are precisely regulated at multiple layers, highlighting an important role of posttranscriptional machinery in supporting hESC survival. [ABSTRACT FROM AUTHOR]

Introduction: This study aimed to analyze the changes in differential renal function (DRF) after laparoscopic pyeloplasty in children with high-grade hydronephrosis and factors influencing DRF improvement. Methods: We reviewed the clinical data of unilateral ureteropelvic junction obstruction (UPJO) patients with SFU grade IV who underwent laparoscopic pyeloplasty between February 2018 and October 2020. The patients were divided into two groups: DRF improvement ≥5% (group 1) and DRF improvement <5% (group 2). Preoperative, operative, and postoperative parameters were included in the statistical analysis in both groups. Results: A total of 29 patients with a median age of 6 months were included. The preoperative DRF in group 1 was significantly lower than that in group 2 (36.97 ± 8.47% vs. 45.19 ± 5.22%, p = 0.004). Logistic regression and receiver operating characteristic analysis showed the preoperative DRF was the predictor for renal function improvement after pyeloplasty (p = 0.021) and had a significant predictive value (p = 0.004). Conclusion: Nearly half of the patients with high-grade UPJO had improved renal function at 1 year follow-up after laparoscopic pyeloplasty. Preoperative DRF was a predictor of renal function improvement, and postoperative functional recovery was superior in children with lower preoperative DRF. [ABSTRACT FROM AUTHOR]

In this paper, the composite control problem of continuous time semi-Markovian jump system with actuator saturation, multiple disturbances and unknown nonlinearity is investigated. A stochastic stability condition and a lower bound of the time between two consecutive events are derived to avoid Zeno behaviour, based on the combination of disturbance-observer-based control and event-triggered control. In addition, the passive control of the system based on the disturbance observer is studied. Finally, numerical simulation proves that the designed composite controller can effectively save communication resources, and can maintain the system to meet the passive performance indicators of the obtained closed-loop system under the influence of multiple disturbances and actuator saturation. [ABSTRACT FROM AUTHOR]

Background: The production of human chorionic gonadotropin (hCG) by the placental trophoblast cells is essential for maintaining a normal pregnancy. Aberrant hCG levels are associated with reproductive disorders. The protein of hCG is a dimer consisting of an α subunit and a β subunit. The β subunit is encoded by the CGB gene and is unique to hCG. Growth differentiation factor-11 (GDF-11), a member of the transforming growth factor-β (TGF-β) superfamily, is expressed in the human placenta and can stimulate trophoblast cell invasion. However, whether the expression of CGB and the production of hCG are regulated by GDF-11 remains undetermined. Methods: Two human choriocarcinoma cell lines, BeWo and JEG-3, and primary cultures of human cytotrophoblast (CTB) cells were used as experimental models. The effects of GDF-11 on CGB expression and hCG production, as well as the underlying mechanisms, were explored by a series of in vitro experiments. Results: Our results show that treatment of GDF-11 downregulates the expression of CGB and the production of hCG in both BeWo and JEG-3 cells as well as in primary CTB cells. Using a pharmacological inhibitor and siRNA-mediated approach, we reveal that both ALK4 and ALK5 are required for the GDF-11-induced downregulation of CGB expression. In addition, treatment of GDF-11 activates SMAD2/3 but not SMAD1/5/8 signaling pathways. Moreover, both SMAD2 and SMAD3 are involved in the GDF-11-downregulated CGB expression. ELISA results show that the GDF-11-suppressed hCG production requires the ALK4/5-mediated activation of SMAD2/3 signaling pathways. Conclusions: This study not only discovers the biological function of GDF-11 in the human placenta but also provides important insights into the regulation of the expression of hCG. EYYrMgGK1oNKot-fDMBUfi Video Abstract [ABSTRACT FROM AUTHOR]

• A new fractional order age-specific smoke epidemic model is proposed. • The Banach fixed point theorem and the Krasnoselskiis type are used to analyze the model's existence and uniqueness. • The Lagrange interpolation is used to obtain the desired solution analytically. This paper presents a nonlinear fractional mathematical model for the smoke epidemic that includes two age groups. To solve the smoke epidemic, the Atangana-Baleanu-Caputo fractional derivative is used. The Banach and Krasnoselskii type fixed point theorem is used to determine existence and uniqueness. We explored model stability using the Hyers-Ulam form of stability. Using Lagrange interpolation, the behaviour of the smoke epidemic of the 2-age group model is generated. The numerical simulation shows that the model has potential for both groups, and that age-specific interventions can be used to reduce smoking rates in the general population. [ABSTRACT FROM AUTHOR]

A topic about a class of coupled parabolic equations under nonlinear boundary conditions is studied in this paper. Our attention is primarily on its upper and lower bounds for blow-up time. Necessary assumptions and auxiliary functions are established in the process of our proof. At the same time, we notice that the usual method to approaching the bounds is taking advantage of the different auxiliary functions. The divergence term and the cross term lead us to apply different methods to deal with the upper and lower bounds for blow-up time. Specifically, on the one hand, we seek a lower bound by taking advantage of establishing the auxiliary function and using the differential inequality technique. On the other hand, we derive an upper bound with the assistance of constructing the sub-solution and the comparison principle. In addition, two corollaries are proposed to complete our proof. Finally, we give an instance to state our results. [ABSTRACT FROM AUTHOR]

• Children with ASD have significant eating and mealtime behavior changes and gastrointestinal symptoms. • The peripheral blood γδT cells but not αβT cells are associated with ASD. • The γδT cells are independently associated with ASD in boys. • There are no significant correlations between immune cells and dietary behaviour / habits, or Bristol Stool Scale scores. • γδT cells combined with eating and mealtime behavior/dietary factors could assist the diagnosis of ASD. Autism spectrum disorder (ASD) includes a range of multifactorial neurodevelopmental disabilities characterized by a variable set of neuropsychiatric symptoms. Immunological abnormalities have been considered to play important roles in the pathogenesis of ASD, but it is still unknown which abnormalities are more prominent. A total of 105 children with ASD and 105 age and gender-matched typically developing (TD) children were recruited. An eating and mealtime behavior questionnaire, dietary habits, and the Bristol Stool Scale were investigated. The immune cell profiles in peripheral blood were analyzed by flow cytometry, and cytokines (IFN-γ, IL-8, IL-10, IL-17A, and TNF-α) in plasma were examined by Luminex assay. The obtained results were further validated using an external validation cohort including 82 children with ASD and 51 TD children. Compared to TD children, children with ASD had significant eating and mealtime behavioral changes and gastrointestinal symptoms characterized by increased food fussiness and emotional eating, decreased fruit and vegetable consumption, and increased stool astriction. The proportion of γδT cells was significantly higher in children with ASD than TD children (β: 0.156; 95% CI: 0.888 ∼ 2.135, p < 0.001) even after adjusting for gender, eating and mealtime behaviors, and dietary habits. In addition, the increased γδT cells were evident in all age groups (age < 48 months: β: 0.288; 95% CI: 0.420 ∼ 4.899, p = 0.020; age ≥ 48 months: β: 0.458; 95% CI: 0.694 ∼ 9.352, p = 0.024), as well as in boys (β: 0.174; 95% CI: 0.834 ∼ 2.625, p < 0.001) but not in girls. These findings were also confirmed by an external validation cohort. Furthermore, IL-17, but not IFN-γ, secretion by the circulating γδT cells was increased in ASD children. Machine learning revealed that the area under the curve in nomogram plots for increased γδT cells combined with eating behavior/dietary factors was 0.905, which held true in both boys and girls and in all the age groups of ASD children. The decision curves showed that children can receive significantly higher diagnostic benefit within the threshold probability range from 0 to 1.0 in the nomogram model. Children with ASD present with divergent eating and mealtime behaviors and dietary habits as well as gastrointestinal symptoms. In peripheral blood, γδT cells but not αβT cells are associated with ASD. The increased γδT cells combined with eating and mealtime behavior/dietary factors have a high value for assisting in the diagnosis of ASD. [ABSTRACT FROM AUTHOR]

Aims: Rising atmospheric CO2 concentrations and nitrogen (N) deposition alter litter decomposition processes that control soil carbon (C) and nutrient cycles. However, few studies have explored such impacts on litter decomposition and micronutrient and macronutrient (C, N, phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg)) release in a heavy-metal-contaminated environment. Methods: We performed an open-top chamber experiment to explore the effects of 15-month elevated CO2 and N addition on leaf litter decomposition rate and nutrient release of Cinnamomum camphora (non-N-fixing species) and Acacia auriculiformis (N-fixing species) during litter decomposition in cadmium (Cd)-contaminated environment. Results: We found that Cd addition consistently reduced leaf litter nutrient (C, N, P, K, Ca, and Mg) loss, while these negative effects were offset by elevated CO2 (average 10.6%) and N addition (average 23.9%). The mitigative effects of elevated CO2 and N addition together (β = −0.78) far exceeded the effects of each (β = −0.15 for elevated CO2 and β = −0.42 for N addition) separately. Such mitigative effects were related to higher litter quality (the increased N, P and Ca in the initial litter), and higher soil microbial activities (higher ligninase and cellulase activities). Additionally, these mitigative effects on leaf litter nutrient release were greater in C. camphora litter than in A. auriculiformis litter, due to its higher C:N and cellulose: N ratios. Conclusions: Our results suggest that N addition and elevated CO2 concentration may diminish the negative effects of Cd addition on leaf litter decomposition and increase nutrient cycle, especially in non-N fixing trees under the global change. [ABSTRACT FROM AUTHOR]

In decades, heterogeneous catalysis has played a more significant role in social progress. However, the exorbitant price and low reserves vastly limit the application of noble metal catalysts, which are extensively used in heterogeneous catalysis. The single‐atom‐alloy catalysts (SAAs) have been regarded as a crucial way to improve the dispersion ratio of noble metal while maintaining great heterogeneous catalytic performance by dispersing noble metal single atoms on the surface of another metal. Besides the benefit from the metal bonds between noble metals and support metals, SAAs is also a unique method to construct metallic metal single atoms and obtain its characteristic catalytic performance, which is not possessed by other single atoms catalysts with positive electricity metal atoms. Most recently, SAAs have been demonstrated to catalyze a lot of significant heterogeneous reactions. This review will introduce the synthesis methods of SAAs and then summarize their applications in heterogeneous catalysis. [ABSTRACT FROM AUTHOR]

This study investigated two different hybrid processes for the treatment of municipal secondary-treated biological effluents to meet the reuse of recycled water requirements for organic matter and color. The two hybrid treatment approaches were an oxidation-based treatment process (coagulation–sedimentation–deep-bed filtration [CSDF]–ozone oxidation) and an adsorption-based treatment process (CSDF-granular activated carbon [GAC] adsorption). The efficiencies of ozonation and GAC adsorption in removing chemical organic demand (COD), dissolved organic carbon (DOC), and color intensity were evaluated. The effect of CSDF as the pretreatment was also studied. Ozonation showed a much higher color removal efficiency (88%, 4.7 mg/L ozone dose) than GAC adsorption (23%). Organic matter with an apparent molecular weight of 2–3 kDa, being humus-like, might be the colored fraction in the secondary and CSDF effluents. Ozonation had a stronger ability to remove these substances than GAC adsorption, resulting in a visibly higher color removal efficiency. In addition, higher COD and DOC removal were achieved by ozonation when the average ozone dose was increased to 9.1 mg/L. Although both hybrid processes were reliable for reducing organic matter and color, the results show that ozonation is more suitable for simultaneously removing refractory organic matter and color. [ABSTRACT FROM AUTHOR]

Formaldehyde (HCHO) is highly toxic, but its low-temperature elimination is still a pressing challenge nowadays. In this work, we demonstrate an interface engineering strategy to boost the catalytic performance of the promising MnO2 catalysts by coupling the CeO2 promoters on the surface. The as-prepared CeO2–MnO2 mixed-metal oxide (CeMn-x (x = 0.1, 0.5, and 1)) catalysts with a Ce/Mn ratio of 0.5/10 possess excellent catalytic activity and a relatively low T100 (the temperature for 100% HCHO conversion) of 95 °C is achieved. More oxygen vacancies, outstanding redox ability, and the strong interaction between CeO2 and MnO2 are responsible for the enhanced catalytic activity of CeMn. This study provides novel insight into the design of MnOx catalysts for the purification of HCHO at low temperatures. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to explore potential inflammatory biomarkers for early prediction of necrotizing enterocolitis (NEC) in premature infants. Methods: Plasma samples were collected from premature infants with NEC (n = 30), sepsis (n = 29), and controls without infection (n = 29). The 92 inflammatory-related proteins were assessed via high-throughput OLINK proteomics platform. Results: There were 11 inflammatory proteins that significate differences (p < 0.05) among NEC, sepsis and control preterm infants, which include IL-8, TRAIL, IL-24, MMP-10, CCL20, CXCL1, OPG, TSLP, MCP-4, TNFSF14 and LIF. A combination of these 11 proteins could serve as differential diagnosis between NEC and control infants (AUC = 0.972), or between NEC and sepsis infants (AUC = 0.881). Furthermore, the combination of IL-8, OPG, MCP-4, IL-24, LIF and CCL20 could distinguish Stage II and III of NEC (AUC = 0.977). Further analysis showed the combination of IL-8, IL-24 and CCL20 have the best prediction value for NEC and control (AUC = 0.947), NEC and sepsis (AUC = 0.838) and different severity of NEC (AUC = 0.842). Conclusion: Inflammatory proteins were different expressed in premature infants with NEC compared with controls or sepsis. Combining these proteins provide a higher diagnostic potential for preterm NEC infants. [ABSTRACT FROM AUTHOR]

Simple Summary: Isocitrate dehydrogenase 3α (IDH3α) is highly expressed in many cancers and is associated with poor patient prognosis. However, it is not clear whether the aberrant expression of IDH3α is related to the efficacy of chemoimmunotherapy against cancer. We used in vivo and in vitro experiments and bioinformatics to explore the potential role of IDH3α in chemoimmunotherapy treatment. Our results indicate that IDH3α overexpression leads to resistance to chemoimmunotherapy by regulating the acidic tumor microenvironments and the cGAS–STING pathway. Our results provide initial preclinical evidence that the combination of IDH3α knockdown and chemoimmunotherapy may improve the therapy for cancer patients. In recent years, chemoimmunotherapy has become effective in some advanced cancers, but its effect is still limited. Transcriptional upregulation of isocitrate dehydrogenase 3α (IDH3α) can promote tumor initiation and progression. However, it is not clear whether the aberrant expression of IDH3α is related to the efficacy of chemoimmunotherapy in cancers. Here, we found that IDH3α was elevated in uterine cervical cancer (UCC) and lung adenocarcinoma (LUAD) samples by using public databases. High expression of IDH3α could promote the epithelial–mesenchymal transition (EMT), alter the intracellular redox status, promote glycolysis, and induce an acidic microenvironments in cancer cells. Furthermore, we found that inhibition of IDH3α combined with chemoimmunotherapy (cisplatin and programmed cell death ligand 1 (PD-L1) antibodies) activated the cGAS–STING pathway, promoted CD8+ T cell infiltration, and decreased tumor growth in mouse models of cervical cancer. In conclusion, our data indicate that silencing IDH3α sensitizes tumors to chemoimmunotherapy by modulating the acidic microenvironment and activating the cGAS–STING pathway. [ABSTRACT FROM AUTHOR]

Due to the existence of elastic modes in the track, the suspension system of maglev train is prone to vehicle-track coupling vibration, which has become an important problem restricting the further development of maglev train technology. In view of the limitation of the existing rigid track suspension model, this paper establishes an electromagnet-controller-elastic track coupling system model. And then, the nonlinear maglev system is transformed into a linear system by Hartman-Grobman theorem. Since the elastic deformation of the track is difficult to measure, a tracking differentiator is presented to filter out the interference of the displacement signal and obtain the differential signal of the gap between the electromagnet and the track. In order to suppress the vehicle-track coupling vibration, a four-state feedback control method is proposed by introducing the gap differential feedback signal. According to the Hurwitz algebraic criterion, the stability of four-state feedback control system is compared with that of three-state feedback control system. Simulation results show that, the four-state feedback control method can provide the elastic deformation information of the track, and can suppress the coupling vibration between the vehicle and the elastic track effectively. [ABSTRACT FROM AUTHOR]

Pullulan is a linear homopolysaccharide of glucose and produced by certain strains of the polymorphic fungus Aureobasidium pullulans. It has long been widely used in various fields from food additives to environmental remediation agents. In this study, a new composite films material pullulan/tributyl citrate (TBC)/copper-containing metal–organic frameworks (Cu-MOFs) were prepared. Through Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscope (SEM), and energy-dispersive X-ray spectroscopy (EDS), the existence of different components in the composite film was verified. Further studies confirmed that the content of the hydrophobic plasticizer TBC component improves the ultraviolet (UV) absorption efficiency of the composite material, but has little effect on the visible light region. At the same time, with the increase of TBC content, the water resistance of the composite material has been significantly promoted from seconds to minutes without being damaged. The antibacterial activity and biocompatibility of the composite material were also evaluated. The results showed that the presence of Cu-MOFs enables composite material to possess good antibacterial properties and the antibacterial rates against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) were high to 99.9%. Besides, the composite material maintained the excellent biocompatibility of pullulan polymer and the cell survival rates of the samples were more than 100%, indicating that the pullulan/TBC/Cu-MOFs composite film can enhance cell proliferation. Therefore, the composite materials can effectively overcome the shortcomings of pure pullulan polymer films, such as poor water resistance and lack of antibacterial properties, and expand the application prospects of pullulan polymers. [ABSTRACT FROM AUTHOR]

Fast and effective cleanup of oil spills remains a global challenge. A modified commercial sponge with superhydrophobicity, strong absorption capacity, outstanding magnetic response, and fire resistance were fabricated by a facile and inexpensive route of dip-coated melamine sponge carbonization. The low-cost petroleum asphaltene and kaolin nanoparticles were used as the dip-coating reagent. High absorption capacity of the fabricated sponges allowed rapid and continuous removal of oil contaminants. Taking advantage of the good refractory property, the sponges can be used in burning conditions and directly reused after burning out of the absorbed oil. Reusability tests showed that the modified sponges still maintained high absorption capacity (>85%) after six regeneration and reuse cycles. These characteristics make the fabricated sponge a promising aid to promote effective in situ burning cleanup of oil spills, contributing as a magnetic oil collector and a fire-resistant flexible boom. An example usage scenario of the sponges applied to in situ burning cleanup of oil spills is described. [ABSTRACT FROM AUTHOR]

Aims: The current study aimed to determine the chemical compositions of ginger extract (GE) and to assess the antibacterial activities of GE against the ginger bacterial wilt pathogen Ralstonia solanacearum and to screen their mechanisms of action. Methods and Results: A total of 393 compounds were identified by using ultra‐performance liquid chromatography and tandem‐mass spectrometry. The antibacterial test indicated that GE had strong antibacterial activity against R. solanacearum and that the bactericidal effect exhibited a dose‐dependent manner. The minimum inhibitory concentration and minimum bactericidal concentration of R. solanacearum were 3.91 and 125 mg/ml, respectively. The cell membrane permeability and integrity of R. solanacearum were destroyed by GE, resulting in cell content leakage, such as electrolytes, nucleic acids, proteins, extracellular adenosine triphosphate and exopoly saccharides. In addition, the activity of cellular succinate dehydrogenase and alkaline phosphatase of R. solanacearum decreased gradually with an increase in the GE concentration. Scanning electron microscopy analysis revealed that GE treatment changed the morphology of the R. solanacearum cells. Further experiments demonstrated that GE delayed or slowed the occurrence of bacterial wilt on ginger. Conclusions: GE has a significant antibacterial effect on R. solanacearum, and the antibacterial effect is concentration dependent. The GE treatments changed the morphology, destroyed membrane permeability and integrity, reduced key enzyme activity and inhibit the synthesis of the virulence factor EPS of R. solanacearum. GE significantly controlled the bacterial wilt of ginger during infection. Significance and Impact of the Study: This research provides insight into the antimicrobial mechanism of GE against R. solanacearum, which will open a new application field for GE. [ABSTRACT FROM AUTHOR]

Recurrence is the major death cause of differentiated thyroid carcinoma (DTC), and a better understanding of recurrence risk at early stage may lead to make the optimal medical decision to improve patients' prognosis. The 2015 American Thyroid Association (ATA) risk stratification system primary based on clinic-pathologic features is the most commonly used to describe the initial risk of persistent/recurrent disease. Besides, multiple prognostics models based on multigenes expression profiles have been developed to predict the recurrence risk of DTC patients. Recent evidences indicated that aberrant DNA methylation is involved in the initiation and progression of DTC and can be useful biomarkers for clinical diagnosis and prognosis prediction of DTC. Therefore, there is a need for integrating gene methylation feature to assess the recurrence risk of DTC. Gene methylation profile from The Cancer Genome Atlas (TCGA) was used to construct a recurrence risk model of DTC by successively performed univariate Cox regression, LASSO regression, and multivariate Cox regression. Two Gene Expression Omnibus (GEO) methylation cohorts of DTC were utilized to validate the predictive value of the methylation profiles model as external cohort by receiver operating characteristic (ROC) curve and survival analysis. Besides, CCK-8, colony-formation assay, transwell, and scratch-wound assay were used to investigate the biological significance of critical gene in the model. In our study, we constructed and validated a prognostic signature based on methylation profiles of SPTA1, APCS, and DAB2 and constructed a nomogram based on the methylation-related model, age, and AJCC_T stage that could provide evidence for the long-term treatment and management of DTC patients. Besides, in vitro experiments showed that DAB2 inhibited proliferation, colony-formation, and migration of BCPAP cells and the gene set enrichment analysis and immune infiltration analysis showed that DAB2 may promote antitumor immunity in DTC. In conclusion, promoter hypermethylation and loss expression of DAB2 in DTC may be a biomarker of unfavorable prognosis and poor response to immune therapy. [ABSTRACT FROM AUTHOR]

Coinfection of Ebola virus and malaria is widespread, particularly in impoverished areas where malaria is already ubiquitous. Epidemics of Ebola virus disease arise on a sporadic basis in African nations with a high malaria burden. An observational study discovered that patients in Sierra Leone's Ebola treatment centers were routinely infected with malaria parasites, increasing the risk of death. In this paper, we study Ebola-malaria coinfections under the generalized Mittag-Leffler kernel fractional derivative. The Banach fixed point theorem and the Krasnoselskii type are used to analyse the model's existence and uniqueness. We discuss the model stability using the Hyers-Ulam functional analysis. The numerical scheme for the Ebola-malaria coinfections using Lagrange interpolation is presented. The numerical trajectories show that the prevalence of Ebola-malaria coinfections ranged from low to moderate depending on memory. This means that controlling the disease requires adequate knowledge of the past history of the dynamics of both malaria and Ebola. The graphical dynamics of the detection rate indicate that a variation in the detection rate only affects the following compartments: individuals that are latently infected with the Ebola, Ebola virus afflicted people who went unnoticed, individuals who have been infected with the Ebola virus and have been diagnosed with the disease, and persons undergoing Ebola virus therapy. [ABSTRACT FROM AUTHOR]

Art design education in China has nearly 30 years of development history. Due to China's vast territory, a large population, regional economic development, and social resources are extremely unbalanced, resulting in the uneven development of art design education in various regions. Art design is not only a practical and artistic comprehensive discipline, it also spans more majors. It contains almost all aspects of urban and rural construction, beautification, so its scientific and effective design scheme indirectly affects the future development process of urban and rural economy. First, this paper analyzes the impact of urban and rural economic development on art design teaching. The research results show that it has a great influence and a wide range of influence on art design teaching, including enhancing the naturalness of art discipline, promoting the creativity of art design discipline, and promoting the historicity of art discipline. Second, this paper also analyzes the role of art design in promoting regional economic development. For example, we should make full use of regional cultural differences, expand regional historical elements, pay attention to art design talents, and ensure the supply of funds. [ABSTRACT FROM AUTHOR]

When using deep learning methods to model natural language, a recurrent neural network that can map input sequences to output sequences is usually used. Considering that natural language contains more complicated syntactic structures, and the performance of cyclic neural networks in long sentence processing will decrease, scholars have introduced an attention mechanism into the model, which has improved the above problems to a certain extent. The existing attention mechanism still has some shortcomings, such as the inability to explicitly obtain the known syntactic structure information in the sentence, and the poor interpretability of the output probability. In response to the above problems, this article will improve the attention mechanism in the recurrent neural network model. Firstly, the prior information in the natural language sequence is constructed as a graph model through syntactic analysis and other means, and then the graph structure regularization term is introduced into the sparse mapping. A new function netmax is constructed to replace the softmax function in the traditional attention mechanism, thereby improving the performance of the model and making the degree of association. The input values corresponding to larger input samples are closer, making the output of the attention mechanism easier to understand. The innovation of this paper mainly lies in that the weight calculation method which can be widely used in the attention mechanism is proposed by combining the deep learning model with statistical knowledge, which opens a channel to introduce the prior information for the deep learning model in natural language processing tasks. [ABSTRACT FROM AUTHOR]

The Loess Plateau is among the major winter wheat (Triticum aestivum L.) production areas of China. However, wheat production is uncertain across the Loess Plateau, and its potential for yield improvement remains unknown. In the present study, we divided winter wheat growing areas on the Loess Plateau into four climatic zones: arid (zone I), semi-arid (zone II), semi-humid (zone III), and humid (zone IV). Then, we used the validated Agricultural Production Systems Simulator (APSIM) to model Yp (potential yield) and attainable yield (water-limited yield, Yw; nitrogen-limited yield, Yn) of winter wheat on the Loess Plateau from 1961 to 2016. The simulated means for weighted Yp, Yw, and Yn were 8.87, 6.49, and 5.42 t ha–1, respectively. Ya reached only 57% of Yp, which represents the amount of room available for yield improvement. Across the Loess Plateau, the yield gap caused by water limited (YGw) and nitrogen restricted (YGn) were 27% and 39% of potential wheat production. The difference between YGw (3.54 t ha–1) and YGn (3.87 t ha–1) was not significant in the semi-arid climate (zone II), due to low precipitation rates. Compared with irrigation, nitrogen deficiency was the key factor causing the winter wheat yield gap. However, the yield gap caused by nitrogen restriction varies regionally. Irrigation in arid (zone I) was more important than in the other climates, whereas these climate regions required nitrogen more pressing. Areas with a large potential for increased winter wheat yield on the Loess Plateau were mainly distributed in the semi-arid climate (zone II). [ABSTRACT FROM AUTHOR]

Prevailing deep methods for image recognition require massive labeled samples in each visual category for training. However, large amounts of data annotations are timeconsuming, and some uncommon categories only have rare samples available. For this issue, we focus on more challenging few-shot learning (FSL) task, where just few labeled images are used in the training stage. Existing FSL models are constructed with various convolutional neural networks (CNNs), which are trained on an auxiliary base dataset and evaluated for new fewshot predictions on a novel dataset. The performance of these models is difficult to break through because of the domain shift between base and novel datasets and the monotonous network architectures. Considering that, we propose a novel automatic attribute consistent network called Auto-ACNet to overcome the above problems. On one hand, Auto-ACNet utilizes the attribute information about base and novel categories to guide the procedure of representation learning. It introduces the consistent and non-consistent subnets to capture the common and different attributes of image pair, which helps to mitigate the domain shift problem. On the other hand, the architecture of Auto-ACNet is searched with the popular neural architecture search (NAS) technique DARTS, for obtaining a superior FSL network automatically. And the DARTS’s search space is improved by adding the position-aware module to extract the attribute characteristics better. Extensive experimental results on two datasets indicate that the proposed Auto-ACNet achieves significant improvement over the state-of-the-art competitors in this literature. [ABSTRACT FROM AUTHOR]

With the rapid development of computer network technology, the concept of "Internet +" has become more and more popular in recent years. The combination of the Internet and finance has particularly attracted people's attention, and the operating modes of many industries have also changed. Since the use of Internet technology can achieve data sharing and information exchange, the "Internet + Finance" model has broken the barriers of information asymmetry in the financial sector in the past and has made great contributions to China's multiple improvements. The financial market is very important to China's economic development. The identification of the ID function of the wireless sensor network is susceptible to interference and the identification accuracy is reduced. We propose an adaptive identification feature recognition algorithm based on an improved minimum gray tree. After calculating the similarity, the nearest neighbor matching algorithm is directly used to obtain the minimum matching cost corresponding to the wireless sensor network registration that is regarded as the recognized identity so as to realize the identity function adaptive recognition. In this regard, the simulation results show that the proposed algorithm has high recognition accuracy. With the pace of financial innovation, financial institutions have achieved rapid development on the basis of Internet service platforms. At the same time, as the core of preventing money laundering activities, financial institutions are also facing many issues in identifying "customers" in their work. This article analyzes the main content, implementation effects, and difficulty of customer identification in financial institutions and proposes relevant improvement plans. [ABSTRACT FROM AUTHOR]

Background: Autism spectrum disorder (ASD) is a neurological and developmental condition that begins in infancy or earlier and lasts through the individual's lifetime. The aetiology and mechanisms of ASD are not yet fully understood, and current treatment comprises mainly education and rehabilitation, without significant improvement in the core symptoms. Recent studies suggest that microbiota change in children with ASD after the ingestion of probiotics may improve the balance of microbiota and thus ASD symptoms. Objective: The objectives of this study are to evaluate the efficacy of probiotics on the symptoms of children with ASD and the possible mechanisms involved. Methods: This is a prospective controlled trial. A total of 160 children with ASD will be stratified and allocated to placebo and probiotics groups randomised according to the severity of their ASD symptoms. The probiotics group will be given probiotics supplements orally twice a day for 3 months and the control group will be given a placebo at the same amount, in addition to the baseline therapy of education and rehabilitation. All the children will be evaluated systematically by using different scales, questionnaires before, during, and after 3 months' treatment, as well as 3 months after discontinuation. The potential impact of probiotics on immunity and inflammation, metabolism, and metagenome will also be investigated. Discussion: Our previous study showed that the abundance of intestinal flora was greatly different in children with ASD, and that Bifidobacterium was associated with the severity of ASD. In the present study, we will investigate the impact of probiotics supplementation on the symptoms of Children with ASD, with the purpose of evaluating the possible therapeutic effects of additives on ASD and of providing a reference for clinical treatment. The results will help to disclose as yet unknown relationship between probiotics and ASD. Trial registration: This study has been registered with Chinese Clinical Trial Registry (ChiCTR-2000037941). [ABSTRACT FROM AUTHOR]

Supercritical hydrothermal combustion is a novel, clean, and efficient combustion method. In this work, a mechanism-based kinetic model of ethanol appropriate for high-pressure hydrothermal environment was developed. Combined with theoretical analysis and continuous ignition experiments, the transient ignition process, ignition temperature, and extinction temperature were discussed. A turbulent combustion model coupling detailed kinetics was constructed to analyze the co-flow diffusion hydrothermal flame. It was found that the ethanol kinetic model can well predict the reaction process, critical ignition temperatures, extinction temperatures, and diffusion combustion process of hydrothermal combustion. The ignition temperatures of 2.40–5.72 wt% ethanol ranged between 500–390 °C, and OH was a significant ignition indicator. As an auxiliary fuel, ethanol is superior to methanol. During co-flow hydrothermal combustion, the interfacial reaction between fuel and oxidant in jet core area had an important influence, and the local high-temperature flame was mainly distributed near the downstream of fuel jet. [Display omitted] • A detailed kinetics model is developed for the hydrothermal combustion of ethanol. • The combustion properties and the co-flow diffusion flame of ethanol are analyzed. • The ignition temperatures of 2.40–5.72 wt% ethanol range between 500–390 °C. • The majority of the local high-temperature flame is near the fuel jet downstream. [ABSTRACT FROM AUTHOR]

To understand the impact of multilayered oxide films on the liquid-metal resistance, SIMP steels with three different Si levels were investigated. A novel composite oxidation film, namely amorphous SiO 2 packed by Cr 2 O 3 , was formed along the prior high-angle grain boundaries in internal oxidation zone to impede the inward diffusion of oxygen. Evolved into the inner layer, the amorphous SiO 2 films stayed there, while Cr 2 O 3 transformed into FeCr 2 O 4. Moreover, outward diffusion of chromium facilitated the transformation from lower sublayer to upper sublayer in inner layer. This multilayer plays a critical role in improving the oxidation resistance of SIMP steel. [Display omitted] • A novel continuous composite oxide film (SiO 2 wrapped by Cr-rich oxides) is studied. • Composite oxide film formed in IOZ can act as structural skeleton of inner layer. • The inner layer shows a bi-sublayer structure, the lower and upper sublayer. • Composite oxide film and the upper sublayer can prevent the diffusion of O and Fe. • FeCr 2 O 4 particles formed in IOZ have three kinds of structural variants. [ABSTRACT FROM AUTHOR]

VOCs (volatile organic compounds) have an important impact on the atmospheric environment, climate and human health. In a typical chemical industrial development zone in eastern China, 123 kinds of VOCs were on-line monitored simultaneously at three sites using the GC-FID/MS system for one year. The seasonal and diurnal variations of composition and concentration of VOCs were compared and analyzed systematically. The VOCs features existed significant differences at the three sites, which were greatly affected by the types and emissions of surrounding enterprises. The alkanes appeared as the major pollutants at the site adjacent to petrochemical processing enterprises (site A), while OVOCs were the majority at the other two sites, which were around by the fine chemical enterprises (site B and C). The TVOC concentrations presented seasonal differences at the three sites, which showed higher values in summer (468.6 μg/m3) at site A, in winter (409.2 μg/m3) at site B，and in autumn (298.9 μg/m3) at site C, respectively. The isopentane (16.8%) and ethylene oxide (17.9%) made up the largest proportion of the VOCs at site A and B, respectively. While it was more susceptible to the effects of dichloromethane, 1,2-dichloroethane and chloromethane at site C. Three pollution events of ethylene oxide, isopentane and dichloromethane were analyzed and traced based on the prevailing wind and the change of concentration at the three sites. Further analysis of the impact of VOCs on the formation of secondary pollutants of O 3 and PM 2.5 found that the contribution of local O 3 (28.1 %) in summer was significantly larger in the study area than that in non-industrial area. The multiphase chemical reactions were more likely to occur in autumn, which promoted the formation of secondary PM 2.5 , showing the correlation coefficient of 0.73 between the secondary organic aerosol formation potential of VOCs and PM 2.5. • VOCs Characteristics was presented at three sites in a chemical industrial development zone. • Characteristics and sources of VOCs were presented for different types of enterprises. • The effects of VOCs on the formation of O 3 and PM 2.5 in industrial areas were analyzed. [ABSTRACT FROM AUTHOR]