Attenuation of the Activation of NLRP3 Inflammasome in Fibroblast Like Synoviocytes of Rheumatoid Arthritis by Baicalin through Regulating the Let-7i-3p/PI3K/Akt/NF-κB Signaling Axis

[Objectives]To study the effect and mechanism of baicalin on the activation of NLRP3 inflammasome in human fibroblast like synoviocytes of rheumatoid arthritis(HFLS-RA).[Methods]To confirm that baicalin alleviated the activation of NLRP3 inflammasome in HFLS-RA,the expression of NLRP3 before and after baicalin treatment was observed by immunofluorescence.Western blot was used to detect the protein expression of p-PI3K,p-Akt,NF-κB p65,NLRP3,ASC and caspase-1 after baicalin treatment for 48 h,and the contents of IL-1 and IL-18 in the supernatents were detected by ELISA.In order to explore the mechanism of baicalin alleviating the activation of NLRP3 inflammasome,the corresponding relationship between let-7i-3p and PIK3CA was verified by double luciferin and Westen blot analysis.The expression of let-7i-3p and PI3K before and after baicalin intervention was detected by RT-qPCR.let-7i-3p interference was used to verify whether baicalin mitigated the activation of enhanced NLRP3 inflammasome.[Results]Baicalin(50 and 100 mg/L)significantly reduced the activation of NLRP3 inflammasome,inhibited the protein expressions of p-PI3K,p-Akt,NF-κB p65,NLRP3,ASC and caspase-1,and the secretion of IL-1 and IL-18.let-7i-3p and PIK3CA had a targeted correspondence,and baicalin up-regulated the expression of let-7i-3p and down-regulated the expression of PIK3CA.Baicalin attenuated the activation of NLRP3 inflammasome enhanced by let-7i-3p interference.[Conclusions]Baicalin can up-regulate let-7i-3p expression,inhibit PI3K/Akt/NF-κB signal transduction,and thus reduce the activation of NLRP3 inflammasome in HFLS-RA.

Optimal Joint Space Control of a Cable-Driven Aerial Manipulator

This article proposes a novel method for maintaining the trajectory of an aerial manipulator by utilizing a fast nonsingular terminal sliding mode(FNTSM)manifold and a linear extended state observer(LESO).The developed controlmethod applies an FNTSMto ensure the tracking performance’s control accuracy,and an LESO to estimate the system’s unmodeled dynamics and external disturbances.Additionally,an improved salp swarm algorithm(ISSA)is employed to parameter tune the suggested controller by integrating the salp swarmtechnique with a cloud model.This approach also uses a model-free scheme to reduce the complexity of controller design without relying on complex and precise dynamics models.The simulation results show that the proposed controller outperforms linear active rejection disturbance control and PID controllers in terms of transient performance and resilience against lumped disturbances,and the ISSA can help the proposed controller find optimal control parameters.

Observer-Based Control for a Cable-Driven Aerial Manipulator under Lumped Disturbances

With the increasing demand for interactive aerial operations,the application of aerial manipulators is becoming more promising.However,there are a few critical problems on how to improve the energetic efficiency and pose control of the aerialmanipulator forpractical application.In this paper,a novel cable-drivenaerialmanipulatorused for remote water sampling is proposed and then its rigid-flexible coupling dynamics model is constructed which takes joint flexibility into account.To achieve high precision joint position tracking under lumped disturbances,a newly controller,which consists of three parts:linear extended state observer,adaptive super-twisting strategy,and fractional-order nonsingular terminal sliding mode control,is proposed.The linear extended state observer is adopted to approximate unmeasured states and unknown lumped disturbances and achieve model-free control structure.The adaptive super-twisting strategy and fractional-order nonsingular terminal sliding mode control are combined together to achieve good control performance and counteract chattering problem.The Lyapunovmethod is utilized to prove the overall stability and convergence of the system.Lastly,various visualization simulations and ground experiments are conducted,verifying the effectiveness of our strategy,and all outcomes demonstrate its superiorities over the existing control strategies.

Prediction of lymph node metastasis in early gastric signet-ring cell carcinoma:A real-world retrospective cohort study

BACKGROUND Signet-ring cell carcinoma(SRCC)was previously thought to have a worse prognosis than other differentiated gastric cancer(GC),however,recent studies have shown that the prognosis of SRCC is related to pathological type.We hypothesize that patients with SRCC and with different SRCC pathological components have different probability of lymph node metastasis(LNM).AIM To establish models to predict LNM in early GC(EGC),including early gastric SRCC.METHODS Clinical data from EGC patients who had undergone gastrectomy at the First Affiliated Hospital of Nanjing Medical University from January 2012 to March 2022 were reviewed.The patients were divided into three groups based on type:Pure SRCC,mixed SRCC,and non-signet ring cell carcinoma(NSRC).The risk factors were identified through statistical tests using SPSS 23.0,R,and EmpowerStats software.RESULTS A total of 1922 subjects with EGC were enrolled in this study,and included 249 SRCC patients and 1673 NSRC patients,while 278 of the patients(14.46%)presented with LNM.Multivariable analysis showed that gender,tumor size,depth of invasion,lymphovascular invasion,ulceration,and histological subtype were independent risk factors for LNM in EGC.Establishment and analysis using prediction models of EGC showed that the artificial neural network model was better than the logistic regression model in terms of sensitivity and accuracy(98.0%vs 58.1%,P=0.034;88.4%vs 86.8%,P<0.001,respectively).Among the 249 SRCC patients,LNM was more common in mixed(35.06%)rather than in pure SRCC(8.42%,P<0.001).The area under the ROC curve of the logistic regression model for LNM in SRCC was 0.760(95%CI:0.682-0.843),while the area under the operating characteristic curve of the internal validation set was 0.734(95%CI:0.643-0.826).The subgroups analysis of pure types showed that LNM was more common in patients with a tumor size>2 cm(OR=5.422,P=0.038).CONCLUSION A validated prediction model was developed to recognize the risk of LNM in EGC and early gastric SRCC,which can aid in pre-surgical decision making of the best method of treatment for patients.

Manoeuvre decision-making of unmanned aerial vehicles in air combat based on an expert actor-based soft actor critic algorithm

The demand for autonomous motion control of unmanned aerial vehicles in air combat is boosted as taking the initiative in combat appears more and more crucial.Unmanned aerial vehicles inability to manoeuvre autonomously during air combat that features highly dynamic and uncertain manoeuvres of the enemy;however,limits their combat capabilities,which proves to be very challenging.To meet the challenge,this article proposes an autonomous manoeuvre decision model using an expert actor-based soft actor critic algorithm that reconstructs empirical replay buffer with expert experience.Specifically,the algorithm uses a small amount of expert experience to increase the diversity of the samples,which can largely improve the exploration and utilisation efficiency of deep reinforcement learning.And to simulate the complex battlefield environment,a one-toone air combat model is established and the concept of missile's attack region is introduced.The model enables the one-to-one air combat to be simulated under different initial battlefield situations.Simulation results show that the expert actor-based soft actor critic algorithm can find the most favourable policy for unmanned aerial vehicles to defeat the opponent faster,and converge more quickly,compared with the soft actor critic algorithm.

香草醛衍生含磷席夫碱的合成及与DOPO协效阻燃环氧树脂

本文以苯基磷酰二氯、香草醛和4-氨基苯酚为主要原料,合成了一种含磷席夫碱阻燃剂(PH-VAN-AP),并采用红外光谱、核磁共振氢谱和核磁共振磷谱证明其结构符合预期。将DOPO与PH-VAN-AP作为复配阻燃剂PH/DOPO加入环氧树脂(EP)中,通过垂直燃烧(UL-94)、极限氧指数(LOI)和锥形量热测试(CCT)对其阻燃性能进行了表征,并利用热失重和差示扫描量热分析了环氧树脂的热稳定性、热降解过程及玻璃化转变温度(T_(g))。结果表明,PH/DOPO兼有气相和凝聚相2种阻燃机理,能有效提高EP的燃烧性能。具体而言,当仅添加PH/DOPO至体系的3%(质量分数)时,顺利通过了UL-94测试并达到V-0等级,其LOI由24.7%提高至34.8%。此外,峰值热释放速率(PHRR)和总热释放(THR)分别降低了257 kW/m^(2)和8 MJ/m^(2),材料的残留量提高了6.8%。添加3%的PH/DOPO,环氧树脂的Tg由149.5℃降至148.1℃,变化不大,表明PH-VAN-AP一定程度上改善了由于DOPO加入EP后导致T_(g)下降的问题。

Clinical Internship Teaching Management During the COVID-19 Epidemic

Against the backdrop of the global COVID-19 pandemic,the teaching and management of clinical medical interns have been facing tremendous challenges.When interns majoring in clinical medicine enter the internship position,they lack self-protection awareness and have limited ability to respond to unexpected public health events.This article explores the cognitive situation,existing problems,and improvement measures of clinical medical interns in the post-epidemic era.Therefore,this article proposes a series of improvement measures,including strengthening epidemic training and education for interns,enhancing personal protective awareness,and lastly achieving the role transition from intern to doctor.

Countermeasure against blinding attack for single-photon detectors in quantum key distribution

Quantum key distribution(QKD),rooted in quantum mechanics,offers information-theoretic security.However,practi-cal systems open security threats due to imperfections,notably bright-light blinding attacks targeting single-photon detectors.Here,we propose a concise,robust defense strategy for protecting single-photon detectors in QKD systems against blinding attacks.Our strategy uses a dual approach:detecting the bias current of the avalanche photodiode(APD)to defend against con-tinuous-wave blinding attacks,and monitoring the avalanche amplitude to protect against pulsed blinding attacks.By integrat-ing these two branches,the proposed solution effectively identifies and mitigates a wide range of bright light injection attempts,significantly enhancing the resilience of QKD systems against various bright-light blinding attacks.This method forti-fies the safeguards of quantum communications and offers a crucial contribution to the field of quantum information security.

Contemporary Asymmetric Genetic Introgression Between Two Pelophylax Species in Shanghai

Human disturbances are considered to break reproduction barriers among species.Significant increases in hybridization events have been reported among a large number of taxonomic groups in anthropogenic environments,providing novel insights into species evolution mechanisms and conservation management in the Anthropocene.The Eastern Golden Frog(Pelophylax plancyi)and BlackSpotted Frog(P.nigromaculatus)are two sympatric anuran species with a long history of mitochondrial genome introgression in highly urbanized continental East Asia.However,there is only limited understanding of the pattern of their contemporary hybridization and factors influencing their interspecific relationship under anthropogenic disturbances.Here,interspecific hybridization between P.plancyi and P.nigromaculatus at the population level was investigated in Shanghai.All except two haplotypes obtained from both species in Shanghai were mixed together,and located in the introgression clade,implying multiple ancient mitochondrial introgression events occurred in the populations of our study area.Asymmetric genetic introgression was detected by microsatellite markers,with 0.7%of P.plancyi and 14.6%of P.nigromaculatus identified as contemporary admixed individuals.Consistent with the trend of population density,higher genetic diversity of neutral microsatellite loci was found in the more abundant P.plancyi;however,variation in mitochondrial(Cyt-b)and nuclear(POMC)genes was higher in relatively rare P.nigromaculatus.The population density of P.plancyi and number of water patches within local habitats were significantly positively correlated with both occurrences and proportions of admixed individuals in the populations of P.plancyi and P.nigromaculatus.Considering the prevalent transformation of habitats in urbanized areas,these results imply that a high population density in isolated artificially altered habitats is likely to increase interspecific hybridization.Thus,population monitoring and improvement of landscape connectivity between habitats would be needed to control the intensity of interspecific hybridization between P.plancyi and P.nigromaculatus in anthropogenic-disturbed environments.

Progress and realization platforms of dynamic topological photonics

Dynamic topological photonics is a novel research field, combining the time-domain optics and topological physics.In this review, the recent progress and realization platforms of dynamic topological photonics have been well introduced.The definition, measurement methods and the evolution process of the dynamic topological photonics are demonstrated to better understand the physical diagram. This review is meant to bring the readers a different perspective on topological photonics, grasp the advanced progress of dynamic topology, and inspire ideas about future prospects.

Aptasensing biosynthesized phosphatidylserine with a AuNPs nanozyme-based colorimetric aptasensor

Sensitive monitoring of the target products during the biosynthesis process is crucial,and facile analytical approaches are urgently needed.Herein,phosphatidylserine(PS)was chosen as the model target,a colorimetric aptasensor was developed for the rapid quantitation in biosynthesis samples.A chimeric aptamer was constructed with two homogeneous original PS aptamers.Specific recognition between the chimeric aptamer and PS results in the desorption of aptamer from the surface of the AuNPs nanozyme,and the peroxidase-like enzymatic activity of the AuNPs nanozyme was weakened in a relationship with the different concentrations.The developed aptasensor performed well when applied for analyzing PS in biosynthesis samples.The aptasensor offers good sensitivity and selectivity,under optimal conditions,achieving monitoring and quantitation of PS in the range of 2.5-80.0μmol/L,with a limit of detection at 536.2 nmol/L.Moreover,the aptasensor provides good accuracy,with comparison rates of 98.17%-106.40%,when compared with the HPLC-ELSD.This study provides a good reference for monitoring other biosynthesized products and promoting the development of aptamers and aptasensors in real-world applications.

An Iterative Compensation Algorithm for Springback Control in Plane Deformation and Its Application

In order to solve the springback problem in sheet metal forming, the trial and error method is a widely used method in the factory, which is time-consuming and costly for its non-direction and non-quantitative. Finite element simulation is an e ective method to predict the springback of complex shape parts, but its precision is sensitive to the simulation model, particularly material model and boundary conditions. In this paper, the simple iterative method is introduced to establish the iterative compensation algorithm, and the convergence criterion of iterative parameters is put forward. In addition, the new algorithm is applied to the V-free bending and stretch-bending processes, and the convergence of curvature and bending angle is proved theoretically and verified experimentally. At the same time,the iterative compensation experiments for plane bending show that, the new method can predict the next compensaantido tnh ev atlaureg ebta cseurdv oatnu trhe ew sitphri tnhgeb earcrko ro fo fe laecshs ttehsat,n s0 o. 5 th%a ta rteh eo btatraigneet db aefntedri n2 g-3 a nitgelrea tiwoitnhs.t Thhei se rrreosre aorf clhe sps rtohpaons e±s 0 a.1%new iterative compensation algorithm to predict springback in sheet metal forming process, where each compensation value depends only on the iteration parameter di erence before and after springback for the same forming process of same material.

Anti-Parkinsonian Therapy:Strategies for Crossing the Blood–Brain Barrier and Nano-Biological Effects of Nanomaterials

Parkinson’s disease(PD),a neurodegenerative disease that shows a high incidence in older individuals,is becoming increasingly prevalent.Unfortunately,there is no clinical cure for PD,and novel anti-PD drugs are therefore urgently required.However,the selective permeability of the blood–brain barrier(BBB)poses a huge challenge in the development of such drugs.Fortunately,through strategies based on the physiological characteristics of the BBB and other modifications,including enhancement of BBB permeability,nanotechnology can offer a solution to this problem and facilitate drug delivery across the BBB.Although nanomaterials are often used as carriers for PD treatment,their biological activity is ignored.Several studies in recent years have shown that nanomaterials can improve PD symptoms via their own nano-bio effects.In this review,we first summarize the physiological features of the BBB and then discuss the design of appropriate brain-targeted delivery nanoplatforms for PD treatment.Subsequently,we highlight the emerging strategies for crossing the BBB and the development of novel nanomaterials with anti-PD nano-biological effects.Finally,we discuss the current challenges in nanomaterial-based PD treatment and the future trends in this field.Our review emphasizes the clinical value of nanotechnology in PD treatment based on recent patents and could guide researchers working in this area in the future.

Fast wireless sensor for anomaly detection based on data stream in an edge-computing-enabled smart greenhouse

Edge-computing-enabled smart greenhouses are a representative application of the Internet of Things(IoT)technology,which can monitor the environmental information in real-time and employ the information to contribute to intelligent decision-making.In the process,anomaly detection for wireless sensor data plays an important role.However,the traditional anomaly detection algorithms originally designed for anomaly detection in static data do not properly consider the inherent characteristics of the data stream produced by wireless sensors such as infiniteness,correlations,and concept drift,which may pose a considerable challenge to anomaly detection based on data stream and lead to low detection accuracy and efficiency.First,the data stream is usually generated quickly,which means that the data stream is infinite and enormous.Hence,any traditional off-line anomaly detection algorithm that attempts to store the whole dataset or to scan the dataset multiple times for anomaly detection will run out of memory space.Second,there exist correlations among different data streams,and traditional algorithms hardly consider these correlations.Third,the underlying data generation process or distribution may change over time.Thus,traditional anomaly detection algorithms with no model update will lose their effects.Considering these issues,a novel method(called DLSHiForest)based on Locality-Sensitive Hashing and the time window technique is proposed to solve these problems while achieving accurate and efficient detection.Comprehensive experiments are executed using a real-world agricultural greenhouse dataset to demonstrate the feasibility of our approach.Experimental results show that our proposal is practical for addressing the challenges of traditional anomaly detection while ensuring accuracy and efficiency.

Approach the Gell-Mann–Okubo Formula with Machine Learning

Machine learning is a novel and powerful technology and has been widely used in various science topics.We demonstrate a machine-learning-based approach built by a set of general metrics and rules inspired by physics.Taking advantages of physical constraints,such as dimension identity,symmetry and generalization,we succeed to approach the Gell-Mann-Okubo formula using a technique of symbolic regression.This approach can effectively find explicit solutions among user-defined observables,and can be extensively applied to studying exotic hadron spectrum.

Cell proliferation during hair cell regeneration induced by Math1 in vestibular epithelia in vitro

Hair cell regeneration is the fundamental method of correcting hearing loss and balance disorders caused by hair cell damage or loss. How to promote hair cell regeneration is a hot focus in current research. In mammals, cochlear hair cells cannot be regenerated and few vestibular hair cells can be renewed through spontaneous regeneration. However, Math1 gene transfer allows a few inner ear cells to be transformed into hair cells in vitro or in vivo. Hair cells can be renewed through two possible means in birds： supporting cell differentiation and transdifferentiation with or without cell division. Hair cell regeneration is strongly associated with cell proliferation. Therefore, this study explored the relationship between Math1-induced vestibular hair cell regeneration and cell division in mammals. The mouse vestibule was isolated to harvest vestibular epithelial cells. Ad-Math1-enhanced green fluorescent protein （EGFP） was used to track cell division during hair cell transformation.5-Bromo-2′-deoxyuridine （BrdU） was added to track cell proliferation at various time points. Immunocytochemistry was utilized to determine cell differentiation and proliferation. Results demonstrated that when epithelial cells were in a higher proliferative stage, more of these cells differentiated into hair cells by Math1 gene transfer. However, in the low proliferation stage, no BrdU-positive cells were seen after Math1 gene transfer. Cell division always occurred before Math1 transfection but not during or after Math1 transfection, when cells were labeled with BrdU before and after Ad-Math1-EGFP transfection. These results confirm that vestibular epithelial cells with high proliferative potential can differentiate into new hair cells by Math1 gene transfer, but this process is independent of cell proliferation.

Fever and neck pain after pacemaker lead extraction: A case report

BACKGROUND Venous thrombosis(VT) is one of the minor complications of pacemaker lead extraction. It is often found due to the swelling of the limbs after the extraction. It is easy to be neglected or even misdiagnosed in the absence of typical clinical symptoms. The incidence, risk factors, and long-term impact of this complication are still unclear. Herein, we report a case of deep VT caused by transvenous lead extraction, which is easily misdiagnosed.CASE SUMMARY A 66-year-old woman underwent a pacemaker lead extraction at our hospital because of a pacemaker pocket infection. After the extraction, she began to experience intermittent fever accompanied by sweating. The highest body temperature recorded was 37.9℃. Additionally, she reported migratory pain that made her uncomfortable. The pain was mistakenly thought to be caused by operation trauma. At first, the pain radiated from the left chest to the mandible.Then, the pain in the left chest was alleviated, but pain in the left neck and throat appeared. Finally, the pain was confined to the mandible and a submandibular mass was palpated with no other abnormalities upon physical examination.Computed tomography venography and angiography finally indicated that the fever and pain were the symptoms of thrombophlebitis caused by lead extraction.The patient was then treated with rivaroxaban for more than three months and has shown no symptoms since she left the hospital.CONCLUSION The possibility of thrombosis should be considered when pain and recurrent fever occur after pacemaker lead extraction.

Sports match prediction model for training and exercise using attention-based LSTM network

Sports matches are very popular all over the world.The prediction of a sports match is helpful to grasp the team's state in time and adjust the strategy in the process of the match.It's a challenging effort to predict a sports match.Therefore,a method is proposed to predict the result of the next match by using teams'historical match data.We combined the Long Short-Term Memory(LSTM)model with the attention mechanism and put forward an ASLSTM model for predicting match results.Furthermore,to ensure the timeliness of the prediction,we add the time sliding window to make the prediction have better timeliness.Taking the football match as an example,we carried out a case study and proposed the feasibility of this method.

A Matlab/Simulink Development and Verification Platform for a Frequency Estimation System

The precise estimation of the frequency of the signal is of great significance in the Radar system, the electronic warfare system and many other systems. In this paper, we propose a development and verification platform for the frequency estimation system in the Matlab and Simulink environment. Its open-extensibility architecture enables the performance evaluation of different frequency estimation algorithms and its graphic interface can greatly promote the system design, simulation and verification efficiency.

Analysis of the Correlation between Tourism and Climate in the Ancient City of Langzhong

Based on the meteorological data of Langzhong from 1981 to 2016,a comprehensive comfort index model of tourism climate suitable for Langzhong is established by calculating the meteorological and climatic factors affecting tourism in the ancient city of Langzhong.The model is used to evaluate the climate comprehensive comfort of Langzhong,and its grades and suitable tourism periods are divided.Based on the monthly index of passenger flow volume in the ancient city of Langzhong from 2013 to 2015,a mathematical model is established through OLS regression analysis to analyze the correlation between changes in monthly passenger flow volume in a year and the comprehensive comfort of tourism climate in the ancient city of Langzhong.The results show that the climate in Langzhong is suitable for tourism in spring and autumn.It is suitable for tourism from February to June and from September to December,of which it is most suitable for tourism from April to May and from September to October.It is less suitable for tourism in only January and from July to August,and there is no unsuitable period.The changes in monthly passenger flow volume in a year are mainly affected by the meteorology and climate.The changes of climate comprehensive comfort in various month have an extremely significant impact on passenger flow volume.The elastic coefficient of impact of climate comprehensive comfort index on the monthly index of passenger flow volume is 0.9614%.