The influence of neighborhood built environment on school-age children’s outdoor leisure activities and obesity: a case study of Shanghai central city in China

ObjectiveThe aim of this study was to examine the influencing pathways of the neighborhood built environment on children’s outdoor leisure activities and obesity.MethodsA total of 378 elementary school students from 10 schools in central Shanghai were selected by a convenient sampling method for questionnaire survey and accelerometer tracking.Results1) The neighborhood built environment could affect children’s obesity not only through direct effect (β = 0.15, p < 0.05), but also through the mediating effect of outdoor leisure activities (β = 0.19, p < 0.05). 2) For boys, the neighborhood built environment could affect children’s obesity not only through direct effect (β = 0.17, p < 0.05), but also through the mediating effect of outdoor leisure activities (β = 0.26, p < 0.05). For girls, the neighborhood built environment could affect children’s obesity only through the mediating effect of outdoor leisure activities (β = 0.13, p < 0.05).ConclusionThe neighborhood built environment and outdoor leisure activities are important influencing factors in children’s obesity. The neighborhood built environment and outdoor leisure activities could have direct and indirect effects on children’s obesity, while there are gender differences in the influencing pathways of the neighborhood built environment on children’s obesity. This study suggests that improving the neighborhood built environment and promoting outdoor leisure activities in children have important value for influencing children’s obesity

Observer-Based Event-Triggered Predictive Control for Networked Control Systems under DoS Attacks

This paper studies the problem of DoS attack defense based on static observer-based event-triggered predictive control in networked control systems (NCSs). First, under the conditions of limited network bandwidth resources and the incomplete observability of the state of the system, we introduce the event-triggered function to provide a discrete event-triggered transmission scheme for the observer. Then, we analyze denial-of-service (DoS) attacks that occur on the network transmission channel. Using the above-mentioned event-triggered scheme, a novel class of predictive control algorithms is designed on the control node to proactively save network bandwidth and compensate for DoS attacks, which ensures the stability of NCSs. Meanwhile, a closed-loop system with an observer-based event-triggered predictive control scheme for analysis is created. Through linear matrix inequality (LMI) and the Lyapunov function method, the design of the controller, observer and event-triggered matrices is established, and the stability of the scheme is analyzed. The results show that the proposed solution can effectively compensate DoS attacks and save network bandwidth resources by combining event-triggered mechanisms. Finally, a smart grid simulation example is employed to verify the feasibility and effectiveness of the scheme’s defense against DoS attacks

Case Report: Isolated facial and trigeminal nerve palsy without ataxia in anti-GQ1b antibody syndrome secondary to Mycoplasma pneumonia

The presence of anti-GQ1b antibodies in serum or cerebrospinal fluid is a diagnostic indicator of the Miller–Fisher variant of Guillain–Barré syndrome (GBS), whereas anti-GQ1b antibody syndrome is rarely presented as acute bilateral pain in the cheeks and masticatory muscle fatigue without ophthalmoplegia, ataxia, or limb weakness. Here, we report a case of a female patient diagnosed with GBS characterized only by the involvement of the facial and trigeminal nerves who was positive for serum anti-GQ1b antibodies secondary to Mycoplasma pneumoniae infection. The patient was treated with macrolide antibiotics and neurotrophic drugs, and her symptoms were significantly alleviated after 1 month. This case indicates a new clinical presentation of GBS and anti-GQ1b antibody syndrome with a differential diagnosis of multiple cranial nerve damage of which neurological physicians should be aware. Positive anti-GQ1b antibodies secondary to infection were observed in this case, and antibiotic treatment resulted in a favorable prognosis. The specific underlying mechanism requires further investigation

Development of o-aminobenzamide salt derivatives for improving water solubility and anti-undifferentiated gastric cancer

Background: Gastric cancer is one of the cancers with wide incidence, difficult treatment and high mortality in the world, especially in Asia and Africa. In our previous work, a novel o-aminobenzamide analogue F8 was identified as an early preclinical candidate for treatment of undifferentiated gastric cancer (IC50 of 0.26 μM for HGC-27). However, the poor water solubility of compound F8 prevents its further progress in preclinical studies.Aim: To improve the water solubility and drug-likeness of F8 via salt formation.Method: Different acids and F8 were reacted to obtain different salt forms. Physicochemical property screening, pharmacokinetic property research, and antitumor biological activity evaluation in vitro and in vivo were used to obtain the optimal salt form with the best druggability.Results: our continuous efforts have finally confirmed F8·2HCl as the optimal salt form with maintained in vitro antitumor activity, improved water solubility and pharmacokinetic properties. Importantly, the F8·2HCl displayed superior in vivo antitumor efficacy (TGI of 70.1% in 75 mg/kg) in HGC-27 xenograft model. The further immunohistochemical analysis revealed that F8·2HCl exerts an antitumor effect through the regulation of cell cycle-related protein (CDK2 and p21), apoptosis-related protein Cleaved Caspase-3, proliferation marker Ki67, and cell adhesion molecule E-cadherin. In addition, F8·2HCl showed acceptable safety in the in vivo acute toxicity assay.Conclusion: Salting is an effective means to improve the drug-like properties of compound F8, and F8·2HCl can serve as a promising therapeutic agent against undifferentiated gastric cancer

Effects of high-dose glucose oxidase on broiler growth performance, antioxidant function, and intestinal microbiota in broilers

Glucose oxidase (GOD) has been investigated as a potential additive for enhancing intestinal health and growth performance in poultry. However, limited research exists on the effects of ultra-high doses of GOD in practical poultry production. This study aimed to investigate the impact of high dietary GOD levels on broiler growth performance, antioxidant capacity, and intestinal microbiota. A total of 400 healthy, 1-day-old, slow-growing broiler chickens were randomly assigned to four treatment groups. The control group was fed a standard basal diet, while the other groups (G1, G2, and G3) were fed the basal diet supplemented with 4 U/g, 20 U/g, and 100 U/g of VTR GOD, respectively. The results showed that a dose of 100 U/g GOD significantly improved the final body weight and average daily feed intake (ADFI) (p < 0.05). Additionally, the G3 group exhibited a marked increase in glutathione peroxidase (GSH-Px) activity (p < 0.05), reflecting enhanced antioxidant function. Gut morphology remained intact across all groups, indicating no adverse effects on intestinal barrier integrity. Microbiota analysis revealed significant increases (p < 0.05) in Firmicutes and Verrucomicrobiota abundance at the phylum level in the GOD-supplemented groups. Moreover, GOD treatments significantly increased the abundance of Faecalibacterium, Mucispirllum, and CHKCI001 at the genus level. Metabolic function predictions suggested that high-dose GOD supplementation enriched carbohydrate metabolism, particularly starch and sucrose metabolism. Correlation analysis indicated that Faecalibacterium and CHCKI001 were two bacteria strongly influenced by GOD supplementation and were associated with enhanced growth performance and improved gut health. In conclusion, high-dose GOD supplementation had no adverse effects and demonstrated significant benefits, promoting both growth performance and gut health in broilers

Observer-Based Event-Triggered Predictive Control for Networked Control Systems under DoS Attacks

This paper studies the problem of DoS attack defense based on static observer-based event-triggered predictive control in networked control systems (NCSs). First, under the conditions of limited network bandwidth resources and the incomplete observability of the state of the system, we introduce the event-triggered function to provide a discrete event-triggered transmission scheme for the observer. Then, we analyze denial-of-service (DoS) attacks that occur on the network transmission channel. Using the above-mentioned event-triggered scheme, a novel class of predictive control algorithms is designed on the control node to proactively save network bandwidth and compensate for DoS attacks, which ensures the stability of NCSs. Meanwhile, a closed-loop system with an observer-based event-triggered predictive control scheme for analysis is created. Through linear matrix inequality (LMI) and the Lyapunov function method, the design of the controller, observer and event-triggered matrices is established, and the stability of the scheme is analyzed. The results show that the proposed solution can effectively compensate DoS attacks and save network bandwidth resources by combining event-triggered mechanisms. Finally, a smart grid simulation example is employed to verify the feasibility and effectiveness of the scheme’s defense against DoS attacks

Few-shot bronze vessel classification via siamese fourier networks

Abstract Exploring ancient Chinese artifacts is crucial for analyzing East Asian technological development, with bronze vessel being the critical element. Bronze vessels, typically featuring intricate carvings, hold historical significance and provide valuable insights into past civilizations. However, identifying bronze patterns can be challenging for human vision, and most RGB-domain methods fail to capture periodic designs. Addressing these issues, we propose the Siamese Fourier Networks (SFN), a parallel network model designed for few-shot regular pattern classification. The Siamese network can differentiate between intricate shapes, while Fourier features enable the extraction of regular textures. To optimize parallel networks, we combine the BCE loss and focal contrastive loss, balancing positive and negative samples. Moreover, we introduce the Bronze Vessel Dataset, featuring 527 samples with diverse shapes and unbalanced distributions. Extensive experiments with advanced few-shot methods demonstrate the superiority of SFN and focal mechanism, significantly improving accuracy

Feature of cascading rupture frequently observed in Northern California

Abstract Understanding if earthquakes of different sizes start in the same way and whether the growth process of the rupture of large earthquakes is predictable are fundamental questions in earthquake physics. Recent studies indicate the onsets of seismic waves from small and large earthquakes exhibit similar characteristics, suggesting that an earthquake’s onset does not dictate its final size. However, the factors controlling this process remain unclear. A systematic comparison of 24 years of high-sensitivity seismograph records using cross-correlation for ~75,000 events reveals 125 extremely similar and 1939 similar pairs of co-located large and small earthquakes. An extremely high similarity is observed for pairs of earthquakes occurring on simple faults (44 of 55 large events), whereas large earthquakes occurring on complex faults have a low probability of cascading rupture. Estimating the probability of cascading rupture based primarily on fault geometry can improve the predictability of future earthquakes with a more quantitative size estimation

Small-scale stress heterogeneity inferred many anti-repeating earthquakes in Sierra Valley, Nevada

Abstract Repeating earthquakes, which occur on overlapping rupture patches with the same focal mechanisms, provide insights into fault creep, earthquake cycle dynamics, triggering, and predictability. Recently, earthquakes with highly anti-correlated waveforms have been systematically reviewed. However, most studies have only observed a small number of anti-repeating earthquake pairs or noted reversals in earthquake focal mechanisms, without connecting these observations to underlying earthquake physics processes. Here we show 37 anti-repeating earthquake pairs (M: 0.18–1.88) in Sierra Valley deep (~ 32 km) earthquake sequence based on regional waveform analysis. Our high-precision location analysis shows that these anti-repeating earthquake pairs occur on adjacent faults (separated by ~ 240 m), with focal mechanisms indicating that normal and thrust earthquakes can occur within short time intervals. Furthermore, tidal modulation of seismicity in this region suggests a low effective normal stress. We suggest small-scale stress heterogeneity is the mechanism of anti-repeating earthquakes. These findings underscore the necessity of considering both positive and negative components of cross correlation in earthquake studies to better understand the mechanics of fault systems and improve seismic hazard assessment. Graphical abstrac

Green Supply Chain Decisions and Revenue-Sharing Contracts under Manufacturers’ Overconfidence

Overconfidence is a prevalent and potentially catastrophic behaviour in judgment and decision-making. In this paper, we define manufacturers’ overconfidence as a belief bias that they overestimate the impact of product greenness on demand and the accuracy of demand uncertainty. We build a game theory model based on overconfident beliefs, address the decisions of product greenness and price, and discuss the impact of manufacturers’ overconfidence on supply chain decisions and profits. For the adverse effects brought by overconfidence, we further investigate whether revenue-sharing contracts can coordinate green supply chains. We find three new insights. (1) Manufacturers’ overconfidence leads to higher product greenness, a higher wholesale price, and a greater retail price, but resulting in lower profits. (2) Under the cooperation based on revenue-sharing contracts, product greenness is greater, and wholesale price is lower than the case without cooperation. The greenness increases with the manufacturer’s overconfidence, but counter-intuitively, the wholesale price is not affected by overconfidence. (3) Both the overconfident manufacturer and the retailer have an incentive to reach a revenue-sharing contract. Retailers benefit from collaboration, and overconfident manufacturers assume that retailers can make more profit through revenue sharing, but this model does not exist.</jats:p