Event-Triggered Asymmetric Bipartite Consensus Tracking for Nonlinear Multi-Agent Systems Based on Model-Free Adaptive Control

In this paper,an asymmetric bipartite consensus problem for the nonlinear multi-agent systems with cooperative and antagonistic interactions is studied under the event-triggered mechanism.For the agents described by a structurally balanced signed digraph,the asymmetric bipartite consensus objective is firstly defined,assigning the agents'output to different signs and module values.Considering with the completely unknown dynamics of the agents,a novel event-triggered model-free adaptive bipartite control protocol is designed based on the agents'triggered outputs and an equivalent compact form data model.By utilizing the Lyapunov analysis method,the threshold of the triggering condition is obtained.Subsequently,the asymptotic convergence of the tracking error is deduced and a sufficient condition is obtained based on the contraction mapping principle.Finally,the simulation example further demonstrates the effectiveness of the protocol.

肝脏分泌因子与代谢性疾病

代谢性疾病泛指代谢功能发生问题所引起的疾病,其主要症状包括中心性肥胖、胰岛素抵抗、血脂血糖异常、血压升高等。肝脏作为人体内一个重要的代谢器官,在调节全身葡萄糖和脂质代谢等许多生理过程中起关键作用。近年来的大量研究表明,肝脏可以合成和分泌多种生物信号分子,如FGF21、Fetuin-A以及ANGPTL8等,以自分泌/旁分泌的方式调节机体的代谢过程。干预相关肝脏分泌因子的表达可有助于预防、诊断和治疗代谢性疾病。然而,目前肝脏分泌因子与代谢稳态之间的互作机制仍不明确。本文对不同肝脏分泌因子与代谢性疾病的关系展开论述,以期为治疗代谢性疾病提供新的策略和参考。

An optical glass plane angle measuring system with photoelectric autocollimator

Optical glass is the most widely used optical material.It is necessary to measure its geometric characteristic quickly and reliably to meet the quality of optical glass.A vision measuring system combining photoelectric autocollimation system with high-precision rotary stage is designed to measure the parallelismand angle of optical glass plane.A novel method is proposed to overcome the difficulty ofmeasuring parallelismof optical glass.The model of parallelism and angle measurement is established and the feasibility is analyzed.The image processing algorithm combining Steger algorithm with the least square method is selected.The uncertainty of angle measurement system for angle measurement is 3.0″.The system can solve the problem of measuring the angle of optical glass with high precision and has important significance for optical system.

Matrix Softening Induces Inflammatory Signals of Endothelial Cells

Vascular diseases such as atherosclerosis involve the change of the rigidity in the blood vessel wall. There is evidence that the changes in the blood vessel rigidity may affect the various functions of the cells in the blood vessel, including endothelial cells (ECs) and the smooth muscle cells. On the other hand, blood vessel-on-a-chip has become an emerging research field for dis-ease modeling. However, the effect of material rigidity on blood vessel remodeling is not well understood. Hereby, an in vitro culture system with the culture substrates matching the rigidity of vessel wall mimicking the condition of healthy (normal) or lipid deposition (soft) were prepared. The stiffness of the substrates was confirmed by atomic force microscope. Although no significant difference was observed in EC morphology, the expression levels of the pro-inflammatory cytokines, including interleukin 6 (IL6), tumor necrosis factor α (TNF-α) and interleukin 1β (IL1β), were dramatically induced by soft substrate. Consistently, the inflammation-related JNK signaling was also activated. In addition, the expression level of microRNA-146a (miR-146a) was significantly decreased. Accordingly, mRNA expression level of TNF receptor associated factor 6 (TRAF6), the direct target of miR-146a, was significantly increased. In summary, these findings provide new insight into the matrix rigidity effect on ECs;while engineering the blood vessel model in vitro, matrix with proper rigidity can be carefully tailor to mimic ECs either in a quiescent or an inflammation state.

Mushroom Poisoning Outbreaks—China,2023

What is already known about this topic?Mushroom poisoning poses a significant food safety concern in China,with a total of 196 species identified in poisoning incidents by the end of 2022.What is added by this report?In 2023,the China CDC conducted an investigation into 505 cases of mushroom poisoning spanning 24 provincial-level administrative divisions.This investigation resulted in 1,303 patients and 16 deaths,yielding a case fatality rate of 1.23%.A total of 97 mushrooms were identified as the cause of 6 distinct clinical disease types,with 12 species newly documented as poisonous mushrooms in China.What are the implications for public health practice?Close collaboration among CDC staff,physicians,and mycologists remains crucial for the control and prevention of mushroom poisoning in the future.

Two Photosensitive Dermatitis Outbreaks Caused by Cordierites frondosus—Chuxiong Yi Autonomous Prefecture,Yunnan Province,China,2023

What is already known about this topic?Cordierites frondosus(C.frondosus)is a species of toxic mushroom known to induce symptoms of photosensitive dermatitis.What is added by this report?In the months of May and June 2023,a total of four patients in Chuxiong Yi Autonomous Prefecture,Yunnan Province,were affected by C.frondosus poisoning,occurring over two distinct incidents.The condition of two patients deteriorated after they were re-exposed to sunlight on the seventh day following the initial poisoning.Separately,an additional two patients reported experiencing a mild,needle-like sensation on areas of their skin exposed to the sun,recorded on the twelfth day subsequent to the poisoning.What are the implications for public health practice?Given that symptoms of photosensitive dermatitis,a potential severe consequence of C.frondosus poisoning,can manifest up to a week post-sun exposure,it is advisable to avoid sunlight for a minimum of two weeks following poisoning.

Mushroom Poisoning Outbreaks -China, 2022

Mushroom poisoning has become a serious food safety issue in China.With the support of the government,over the past decade,China has gradually established a mushroom poisoning prevention and treatment system involving experts in disease prevention and control,clinical diagnosis and treatment,fungal classification,and basic medicine(1–3).

VSOLassoBag:a variable-selection oriented LASSO bagging algorithm for biomarker discovery in omic-based translational research

Screening biomolecular markers from high-dimensional biological data is one of the long-standing tasks for biomedical translational research.With its advantages in both feature shrinkage and biological interpretability,Least Absolute Shrinkage and Selection Operator(LASSO)algorithm is one of the most popular methods for the scenarios of clinical biomarker development.However,in practice,applying LASSO on omics-based data with high dimensions and low-sample size may usually result in an excess number of predictive variables,leading to the overfitting of the model.Here,we present VSOLassoBag,a wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient and stable variables with high confidence from omics-based data.Using a bagging strategy in combination with a parametric method or inflection point search method,VSOLassoBag can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates.The application of VSOLassoBag on both simulation datasets and real-world datasets shows that the algorithm can effectively identify markers for either case-control binary classification or prognosis prediction.In addition,by comparing with multiple existing algorithms,VSOLassoBag shows a comparable performance under different scenarios while resulting in fewer features than others.In summary,VSOLassoBag,which is available at https://seqworld.com/VSOLassoBag/under the GPL v3 license,provides an alternative strategy for selecting reliable biomarkers from high-dimensional omics data.For user’s convenience,we implement VSOLassoBag as an R package that provides multithreading computing configurations.

An integrative profiling of metabolome and transcriptome in the plasma and skeletal muscle following an exercise intervention in diet-induced obese mice

Exercise intervention at the early stage of type 2 diabetes mellitus(T2DM)can aid in the maintenance of blood glucose homeostasis and prevent the development of macrovascular and microvascular complications.However,the exercise-regulated pathways that prevent the development of T2DM remain largely unclear.In this study,two forms of exercise intervention,treadmill training and voluntary wheel running,were conducted for high-fat diet(HFD)-induced obese mice.We observed that both forms of exercise intervention alleviated HFD-induced insulin resistance and glucose intolerance.Skeletal muscle is recognized as the primary site for postprandial glucose uptake and for responsive alteration beyond exercise training.Metabolomic profiling of the plasma and skeletal muscle in Chow,HFD,and HFD-exercise groups revealed robust alterations in metabolic pathways by exercise intervention in both cases.Overlapping analysis identified nine metabolites,including beta-alanine,leucine,valine,and tryptophan,which were reversed by exercise treatment in both the plasma and skeletal muscle.Transcriptomic analysis of gene expression profiles in the skeletal muscle revealed several key pathways involved in the beneficial effects of exercise on metabolic homeostasis.In addition,integrative transcriptomic and metabolomic analyses uncovered strong correlations between the concentrations of bioactive metabolites and the expression levels of genes involved in energy metabolism,insulin sensitivity,and immune response in the skeletal muscle.This work established two models of exercise intervention in obese mice and provided mechanistic insights into the beneficial effects of exercise intervention on systemic energy homeostasis.

Copper stimulates the incidence of antibiotic resistance, metal resistance and potential pathogens in the gut of black soldier fly larvae

The black soldier fly larvae(BSFL) have been successfully applied to treat various organic wastes.However, the impacts of heavy metals on antibiotic resistance in the BSFL guts are poorly understood.Here, we investigated the effect of copper(exposure concentrations of 0, 100 and 800 mg/kg) on the antibiotic and metal resistance profiles in BSFL guts.A total of 83 antibiotic resistance genes(ARGs), 18 mobile genetic elements(MGEs) and 6 metal resistance genes(MRGs) were observed in larval gut samples.Exposure to Cu remarkably reduced the diversity of ARGs and MGEs, but significantly enhanced the abundances of gut-associated ARGs and MRGs.The levels of MRGs copA, czcA and pbrT were dramatically strengthened after Cu exposure as compared with CK(increased by 2.8–13.5 times).Genera Enterococcus acted as the most predominant potential host of multiple ARG, MGE and MRG subtypes.Meanwhile, high exposure to Cu aggravated the enrichment of potential pathogens in BSFL guts, especially for Escherichia, Enterococcus and Salmonella species.The mantel test and procrustes analysis revealed that the gut microbial communities could be a key determinant for antibiotic and metal resistance.However, no significant positive links were observed between MGEs and ARGs or MRGs, possibly suggesting that MGEs did not play a crucial role in shaping the ARGs or MRGs in BSFL guts under the stress of Cu.These findings extend our understanding on the impact of heavy metals on the gut-associated antibiotic and metal resistome of BSFL.