BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service

Online Food Ordering Service (OFOS) is a popular location-based service that helps people to order what you want. Compared with traditional e-commerce recommendation systems, users' interests may be diverse under different spatiotemporal contexts, leading to various spatiotemporal data distribution, which limits the fitting capacity of the model. However, numerous current works simply mix all samples to train a set of model parameters, which makes it difficult to capture the diversity in different spatiotemporal contexts. Therefore, we address this challenge by proposing a Bottom-up Adaptive Spatiotemporal Model(BASM) to adaptively fit the spatiotemporal data distribution, which further improve the fitting capability of the model. Specifically, a spatiotemporal-aware embedding layer performs weight adaptation on field granularity in feature embedding, to achieve the purpose of dynamically perceiving spatiotemporal contexts. Meanwhile, we propose a spatiotemporal semantic transformation layer to explicitly convert the concatenated input of the raw semantic to spatiotemporal semantic, which can further enhance the semantic representation under different spatiotemporal contexts. Furthermore, we introduce a novel spatiotemporal adaptive bias tower to capture diverse spatiotemporal bias, reducing the difficulty to model spatiotemporal distinction. To further verify the effectiveness of BASM, we also novelly propose two new metrics, Time-period-wise AUC (TAUC) and City-wise AUC (CAUC). Extensive offline evaluations on public and industrial datasets are conducted to demonstrate the effectiveness of our proposed modle. The online A/B experiment also further illustrates the practicability of the model online service. This proposed method has now been implemented on the Ele.me, a major online food ordering platform in China, serving more than 100 million online users

Mediating effect of successful aging on the relationship between psychological resilience and death anxiety among middle-aged and older adults with hypertension

ObjectiveThe aging trend of China's population is severe and successful aging (SA) is imminent. Aging can lead to various chronic diseases, with hypertension being the most common. Due to this lifelong disease, patients suffer from many anxieties, as death anxiety (DA) can be the most prevalent. Studies have exhibited that middle-aged adults approaching the transition to an older state show more pronounced DA than the more senior. It has been suggested that psychological resilience (PR) can reduce DA. Therefore, this study aimed to analyze the mediating effect of SA between PR and DA in middle-aged and older adults with hypertension.MethodsA cross-sectional survey was designed. From August to December 2021, 298 middle-aged and older adults with hypertension were selected by multistage cluster random sampling in three districts (Ling he District, Gu ta District, and Tai He District) of Jinzhou City, Liaoning Province. They were surveyed using the demographic questionnaires, the Conner-Davidson Resilience Scale, the Successful Aging Inventory, and the Chinese version of a Likert-type Templer-Death Anxiety Scale. Descriptive analyses, independent sample T-test, and one-way analysis of variance (ANOVA) were used to describe demographic characteristics among hypertensive patients with different characteristics, respectively. Statistics were considered significant when P < 0.05. Pearson correlation coefficients describe the relationship between PR, SA, and DA. The research model was shaped through Structural Equation Modeling (SEM). SPSS PROCESS macro was used to verify the mediation model. A binary logistic regression model was used with DA as the dependent variable.ResultsThe scores for PR, SA, and DA in hypertensive patients are (49.52 ± 14.38) points, (51.22 ± 7.63) points, and (46.67 ± 9.03) points. PR was negatively correlated with DA (r = −0.307, P < 0.01). Moreover, incorporating SA as a mediating variable in PR and DA, SA was positively correlated with PR (r = 0.335, P < 0.01) and DA (r = 0.085, P > 0.05). The direct effect is opposite to the sign of the indirect effect. There is a suppression between PR and DA with a percentage of 20.7%. Good self-assessed health status [0.057 (0.018, 0.183)] may be a protective factor for DA.ConclusionHealthcare providers should improve the PR of middle-aged and older adults with hypertension through interventions that reduce DA and increase the likelihood of SA

Manganese oxide electrode with excellent electrochemical performance for sodium ion batteries by pre-intercalation of K and Na ions

Materials with a layered structure have attracted tremendous attention because of their unique properties. The ultrathin nanosheet structure can result in extremely rapid intercalation/de-intercalation of Na ions in the charge-discharge progress. Herein, we report a manganese oxide with pre-intercalated K and Na ions and having flower-like ultrathin layered structure, which was synthesized by a facile but efficient hydrothermal method under mild condition. The pre-intercalation of Na and K ions facilitates the access of electrolyte ions and shortens the ion diffusion pathways. The layered manganese oxide shows ultrahigh specific capacity when it is used as cathode material for sodium-ion batteries. It also exhibits excellent stability and reversibility. It was found that the amount of intercalated Na ions is approximately 71% of the total charge. The prominent electrochemical performance of the manganese oxide demonstrates the importance of design and synthesis of pre-intercalated ultrathin layered materials

Value of atherogenic index of plasma in predicting metabolic associated fatty liver disease in patients with type 2 diabetes mellitus

ObjectiveTo investigate the association between atherogenic index of plasma (AIP) and metabolic associated fatty liver (MAFLD) in type 2 diabetes mellitus (T2DM). MethodsA total of 375 patients with T2DM who were hospitalized and treated in Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, from September 2021 to September 2022 were enrolled, and according to the presence or absence of MAFLD, they were divided into T2DM+MAFLD group with 245 patients and T2DM group with 130 patients. Related clinical data were recorded, and AIP was calculated. According to the quartiles of AIP, the patients were divided into Q1 group (AIP≤0.20), Q2 group (0.20 ＜AIP≤0.24), Q3 group (0.24＜AIP≤0.48), and Q4 group (AIP＞0.48). The independent-samples t test was used for comparison of normally distributed continuous data between groups, and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups; the trend chi-square test was used for the trend analysis of categorical data. The multivariate logistic regression analysis was used to investigate the effect of AIP on MAFLD, and the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) were used to assess the value of the indicators such as AIP, body mass index (BMI), and alanine aminotransferase (ALT) in predicting T2DM with MAFLD. ResultsCompared with the T2DM group, the T2DM+MAFLD group had significant increases in BMI, systolic pressure, uric acid, fasting blood glucose, glycosylated hemoglobin, ALT, aspartate aminotransferase, gamma-glutamyl transpeptidase, alkaline phosphatase, triglyceride, low-density lipoprotein, and AIP and a significant reduction in high-density lipoprotein (all P＜0.05). The trend chi-square test showed that the prevalence rate of MAFLD in T2DM patients tended to increase with the increase in AIP level (χ2 trend=20.338, P＜0.05). The multivariate logistic regression analysis showed that compared with the Q1 group, the Q4 group had a significant increase in the risk of MAFLD (odds ratio =2.396, 95% confidence interval: 1.018-5.640，P=0.045). The ROC curve analysis showed that the diagnostic model of AIP combined with BMI and ALT had the best diagnostic performance (AUC=0.816), with a sensitivity of 70.2% and a specificity of 78.5% at the optimal cut-off value of 0.670. ConclusionAIP is an independent risk factor for MAFLD in T2DM patients, and AIP combined with BMI and ALT has a good predictive value for T2DM with MAFLD

Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform

Recently, the development and utilization of industrial heritage resources by using big data has gradually attracted attention. This paper proposes a real-time visualization optimization management simulation of an industrial heritage cloud platform, which realizes the high reliability and diversified storage and utilization of industrial big data by the cloud data distributed storage subsystem. The big data prediction model of the GRU neural network based on a spark distributed framework is constructed to realize the prediction of industrial genetic data. Finally, visualization technology can provide information supporting for industrial production by displaying effective information intuitively. The model’s effectiveness and reliability are verified by simulation

Effect of sulfonamide pollution on the growth of manure management candidate Hermetia illucens.

Antibiotics are commonly used in livestock and poultry farming. Residual antibiotics in manure may lead to antibiotic pollution of soil, surface water, and groundwater through land application and run-off rainfall. The black soldier fly (BSF) Hermetia illucens is a good candidate for manure management. We evaluated the effect of sulfonamide pollution on the growth of H. illucens. Four treatments were considered with a sulfonamide content in the feed of 0 (control group), 0.1, 1, and 10 mg/kg. The control larvae were fed without sulfonamide. Survival and development status of the individuals were recorded daily. The weights of the fifth instar larvae, prepupae, and pupae were checked. Antioxidant enzyme activity was determined with the fifth instar larvae. The results showed that a low (0.1 and 1 mg/kg) concentration of sulfonamides had no effects on larval survival, pupation, and eclosion of BSFs. A high sulfonamide concentration of 10 mg/kg had a significant effect on the survival of larvae and pupae and on the body weight of larvae, prepupae and pupae. Peak of the cumulated pupation rate and eclosion rate in the sulfonamide treatment of 10 mg/kg was very low. Pupation and eclosion in this group peaked later than that of the control and low sulfonamide concentration treatment groups (0.1 mg/kg and 1 mg/kg). Larvae from the sulfonamides group showed lower antioxidase activities than that of the control. In sulfonamide groups, the activity of peroxidase and superoxide dismutase was reduced in a concentration-dependent manner. Sulfamonomethoxine, sulfamethoxazole, and sulfamethazine were not detected in the harvested prepupae. Only sulfadiazine was discovered in the sulfonamide treatments of 1 and 10 mg/kg. In conclusion, BSFs can tolerate certain concentrations of sulfonamide contamination