Abnormal Action Recognition with Lightweight Pose Estimation Network in Electric Power Training Scene

Electric power training is essential for ensuring the safety and reliability of the system.In this study,we introduce a novel Abnormal Action Recognition(AAR)system that utilizes a Lightweight Pose Estimation Network(LPEN)to efficiently and effectively detect abnormal fall-down and trespass incidents in electric power training scenarios.The LPEN network,comprising three stages—MobileNet,Initial Stage,and Refinement Stage—is employed to swiftly extract image features,detect human key points,and refine them for accurate analysis.Subsequently,a Pose-aware Action Analysis Module(PAAM)captures the positional coordinates of human skeletal points in each frame.Finally,an Abnormal Action Inference Module(AAIM)evaluates whether abnormal fall-down or unauthorized trespass behavior is occurring.For fall-down recognition,three criteria—falling speed,main angles of skeletal points,and the person’s bounding box—are considered.To identify unauthorized trespass,emphasis is placed on the position of the ankles.Extensive experiments validate the effectiveness and efficiency of the proposed system in ensuring the safety and reliability of electric power training.

Abnormal Action Detection Based on Parameter-Efficient Transfer Learning in Laboratory Scenarios

Laboratory safety is a critical area of broad societal concern,particularly in the detection of abnormal actions.To enhance the efficiency and accuracy of detecting such actions,this paper introduces a novel method called TubeRAPT(Tubelet Transformer based onAdapter and Prefix TrainingModule).Thismethod primarily comprises three key components:the TubeR network,an adaptive clustering attention mechanism,and a prefix training module.These components work in synergy to address the challenge of knowledge preservation in models pretrained on large datasets while maintaining training efficiency.The TubeR network serves as the backbone for spatio-temporal feature extraction,while the adaptive clustering attention mechanism refines the focus on relevant information.The prefix training module facilitates efficient fine-tuning and knowledge transfer.Experimental results demonstrate the effectiveness of TubeRAPT,achieving a 68.44%mean Average Precision(mAP)on the CLA(Crazy LabActivity)small-scale dataset,marking a significant improvement of 1.53%over the previous TubeR method.This research not only showcases the potential applications of TubeRAPT in the field of abnormal action detection but also offers innovative ideas and technical support for the future development of laboratory safety monitoring technologies.The proposed method has implications for improving safety management systems in various laboratory environments,potentially reducing accidents and enhancing overall workplace safety.

General Optimal Trajectory Planning:Enabling Autonomous Vehicles with the Principle of Least Action

This study presents a general optimal trajectory planning(GOTP)framework for autonomous vehicles(AVs)that can effectively avoid obstacles and guide AVs to complete driving tasks safely and efficiently.Firstly,we employ the fifth-order Bezier curve to generate and smooth the reference path along the road centerline.Cartesian coordinates are then transformed to achieve the curvature continuity of the generated curve.Considering the road constraints and vehicle dynamics,limited polynomial candidate trajectories are generated and smoothed in a curvilinear coordinate system.Furthermore,in selecting the optimal trajectory,we develop a unified and auto-tune objective function based on the principle of least action by employing AVs to simulate drivers’behavior and summarizing their manipulation characteristics of“seeking benefits and avoiding losses.”Finally,by integrating the idea of receding-horizon optimization,the proposed framework is achieved by considering dynamic multi-performance objectives and selecting trajectories that satisfy feasibility,optimality,and adaptability.Extensive simulations and experiments are performed,and the results demonstrate the framework’s feasibility and effectiveness,which avoids both dynamic and static obstacles and applies to various scenarios with multi-source interactive traffic participants.Moreover,we prove that the proposed method can guarantee real-time planning and safety requirements compared to drivers’manipulation.

Actionable Genotypes and Their Association with Life Span in Iceland

Background:In 2021,the American College of Medical Genetics and Genomics(ACMG)recommended reporting actionable genotypes in 73 genes associated with diseases for which preventive or therapeutic measures are available.Evaluations of the association of actionable genotypes in these genes with life span are currently lacking.Methods:We assessed the prevalence of coding and splice variants in genes on the ACMG Secondary Findings,version 3.0(ACMG SF v3.0),list in the genomes of 57,933 Icelanders.We assigned pathogenicity to all reviewed variants using reported evidence in the ClinVar database,the frequency of variants,and their associations with disease to create a manually curated set of actionable genotypes(variants).We assessed the relationship between these genotypes and life span and further examined the specific causes of death among carriers.

Actionable Genotypes and Their Association with Life Span in Iceland

Background:In 2021,the American College of Medical Genetics and Genomics(ACMG)recommended reporting actionable genotypes in 73 genes associated with diseases for which preventive or therapeutic measures are available.Evaluations of the association of actionable genotypes in these genes with life span are currently lacking.

Effects of 2-[p-(Dimethylamino)Styrl] PyridineMethiodide on Slow Response Action Potentialand Slow lnward Current of Guinea PigPapillary Muscles

The effects of 2-[p-(Dimethylamino)styryl] pyridine methiodide(DSPM)on slow response action potential(SRAP)and slow inward current(Isi) of guinea pig papillary muscles were studied by intracellular microelectrodes and voltage clamp techniques.The APA and V_(max) of SRAP induced by high K￣+were decreased after 50 min of perfusion with DSPM solu- tion. Isi was suppressed from a peak value of8.8± 1.6μA to 5.7± 1.8μA, The results indicated that DSPM has a selective blocking effect on calcium channel.

非保守广义Chaplygin系统的Herglotz型Noether定理

Herglotz原理是非保守系统的变分原理,它是经典Hamilton原理的一个推广.在非保守情形,现有推广形式的Hamilton原理尽管也可导出运动方程,但实际上不再是变分原理.Noether定理是分析力学的一个基本原理,它阐明了对称性和守恒律的相关性,利用Noether定理可找到比牛顿力学和分析力学更多的守恒律.Chaplygin系统是一类特殊而又应用广泛的非完整系统,其方程可独立于约束方程进行研究.非保守广义Chaplygin系统则是Chaplygin系统对非保守力学的推广,因此研究建立该系统的Herglotz型Noether定理具有重要意义.文章针对非完整约束系统,提出基于Herglotz原理建立非保守广义Chaplygin系统的动力学方程,利用变分关系以及虚位移的Chetaev条件,从关于Hamilton-Herglotz作用量的微分方程出发推导建立其全变分方程并求解,由此导出非保守广义Chaplygin系统的作用量的全变分.给出Herglotz型Noether对称变换及准对称变换的定义,在此基础上利用全变分公式导出其判据(Noether等式),建立并证明非保守广义Chaplygin系统Herglotz形式的Noether定理,得到新型守恒量.最后,针对两个具体的非保守非完整系统,建立了它们的Herglotz型广义Chaplygin方程、判据方程和Chetaev条件,解出生成元,由文中所得定理找到了系统的守恒量,验证了结果的有效性.

Renovation of Teacher's Role in Action Research

under the present educational reform backgrounds,college English teachers are expected to re-examine their role,shift their mind-sets from the traditional passive position of acceptors of educational theory to creator of their own local teaching theories.

Americans All Talk, No Action When It Comes to Handwashing

洗手,乃小事一桩,却能预防疾病。美国的公共厕所整洁明亮,即使以“暗香浮动”写之,亦不为过。但是,据明察暗访,却发现了一个令人啼笑皆非 的实情: 95％ of men and women say they wash their hands after using a publicrestroom(厕所),yet only 67％ of people actually do wash their hands beforeleaving the restroom. 洗手,作用不小,当不仅仅局限于“便后”: Handwashing is one of the best interventions there is currently to help reducepeople from being infected with microbes.Before you prepare food or drink waterand after you cuddle(拥抱)with the family pet,you should head straight to thesink(水槽)and wash up. 读罢本文,你若能多洗手几次,那么,笔者推荐此文的目的也就达到了。

Calculating models of mass action concentrations for NaBr(aq), LiNO_3(aq), HNO_3(aq), and KF(aq) binary solutions

The calculating models of mass action concentrations for electrolyte aqueous solutions NaBr-H2O, LiNO3-H2O, HNO3-H2O, and KF-H2O have been developed at 298.15 K and their molalities ranging from 0.1 mol/kg to saturation according to the ion and molecule coexistence theory as well as mass action law. The calculated mass action concentration is based on pure species as the standard state and the mole fraction as the concentration unit, and the reported activities are usually based on infinite dilution as the standard state and molality as the concentration unit. Hence, the calculated mass action concentration must be transformed to the same standard state and concentration unit. The transformation coefficients between calculated mass action concentrations and reported activities of the same component fluctuate in a very narrow range. Thus, the transformed mass action concentrations not only agree well with reported activities, but also strictly obey mass action law. The calculated results show that the new developed models can embody the intrinsic structure of investigated four electrolyte aqueous solutions. The results also indicate that mass action law has its widespread applicability to electrolyte binary aqueous solutions.

Mathematical Models for Combined Refraction-Diffraction of Waves on Non-Uniform Current and Depth

Two mathematical models for combined refraction-diffraction of regular and irregular waves on non-uniform current in water of slowly varying topography are presented in this paper. Model I is derived by wave theory and variational principle separately. It has two kinds of expressions including the dissipation term. Model n is based on the energy conservation equation with energy flux through the wave crest lines in orthogonal curvilinear coordinates and the wave kinematic conservation equation. The analysis and comparison and special cases of these two models are also given.

Effects of diphosphonic acid on ilmenorutile collecting property and research of action mechanism

The effects of several collectors and their dosage on pure ilmenorutile atdifferent pH values were studied and the collecting strength of several representative collectorswas investigated. The experimental results indicate that diphosphonic acid is a good collector forilmenorutile and the recovery of ilmenorutile ranges from 90.87 percent to 91.70 percent when thepulp pH value is 2.0-4.0 and the dosage is 75 mg/L. The sequence of collecting ability for severalcollectors is as follows: diphosphonic acid> TF279 > cyclic allryl hydroximic acid > benzyl arsenicacid> salicylic hydroximic acid> alkyl hydroximic acid. Meanwhile, IAS (infrared absorptionspectrum) and XPS (X-ray photoelectron spectroscopy) were used to detect and analyze the actionmechanism of diphosphonic acid on ilmenorutile. IAS results showed that the characteristicabsorption peak relating to P=O as well as P-O vibration occurred between wave numeber 1140 and 1032cm^(-1), and diphosphonic acid had adsorbed on the surface of ilmenorutile. XPS results indicatedthat the binding energy of P2P peak of ilmenorutile had changed 0.45 eV after treated bydiphosphonic acid. This proves that the adsorption is mainly chemical adsorption.

A Novel Human Action Recognition Algorithm Based on Decision Level Multi-Feature Fusion

In order to take advantage of the logical structure of video sequences and improve the recognition accuracy of the human action, a novel hybrid human action detection method based on three descriptors and decision level fusion is proposed. Firstly, the minimal 3D space region of human action region is detected by combining frame difference method and Vi BE algorithm, and the three-dimensional histogram of oriented gradient(HOG3D) is extracted. At the same time, the characteristics of global descriptors based on frequency domain filtering(FDF) and the local descriptors based on spatial-temporal interest points(STIP) are extracted. Principal component analysis(PCA) is implemented to reduce the dimension of the gradient histogram and the global descriptor, and bag of words(BoW) model is applied to describe the local descriptors based on STIP. Finally, a linear support vector machine(SVM) is used to create a new decision level fusion classifier. Some experiments are done to verify the performance of the multi-features, and the results show that they have good representation ability and generalization ability. Otherwise, the proposed scheme obtains very competitive results on the well-known datasets in terms of mean average precision.

Further Exploring Linear Concentration Addition and Independent Action for Predicting Non-interactive Mixture Toxicity

Since it is unrealistic to do an experimental mixture assessment on every possible combination, mathematical model plays an important role in predicting the mixture toxicity. The present study is devoted to the further application of linear concentration addition（CA）-based model（LCA） and independent action（IA）-based model（LIA） to predict the non-interactive mixture toxicity. The 26 mixtures including 312 data points were used to evaluate the predictive powers of LCA and LIA models. The models were internally validated using the leave-one-out cross-validation and y-randomization test, and the external validations were evaluated by the test tests. Both LCA and LIA models agree well with the experimental values for all mixture toxicity, and present high internally（R2 and Q2 〉 0.98） and externally（Q2F1, Q2F2, and Q2F3 〉 0.99） predictive power. The use of LCA and LIA led to improved predictions compared to the estimates based on the CA and IA models. Both LCA and LIA were found to be appropriate methods for modeling toxicity of non-interactive chemical mixtures.

Calculation Models of Mass Action Concentrations for Metallic Melts Involving Monotectic

Based on the phase diagrams, measured activities as well asDeltaG(m) and DeltaG(xs), calculating models of mass action concentrations for metallic melts involving monotectic have been formulated. The calculated results agree with practice on the whole, showing that the models deduced generally can reflect the structural characteristics of these melts. The metastable compounds formed in the melts are of the types A(2)B(3), AB(2), A(2)B(3) or AB and A(2)B(3)+AB etc..

snoRNAs在肝癌中潜在作用的研究进展

核仁小RNA(snoRNAs)为核仁内存在的一类非编码RNA分子,主要负责rRNA的2′-O-甲基化和假尿嘧啶化修饰。此外,snoRNAs还在tRNA修饰、剪接体snRNA修饰、端粒结构维护及mRNA的可变剪接等生物过程中发挥调控作用。多项研究表明snoRNAs的表达异常与癌症的进展密切相关,可能成为癌症治疗的新靶点。同时,因其在体液中较稳定、易被检测,可作为临床中诊断和预后的生物标志物。本文综述了snoRNAs的合成、分类、结构和功能,并介绍其在肝癌发生和发展中的潜在作用。

STUDY ON ANTIBACTERIAL ACTION OF 4-[P-ACETYLAMINO]BENZENESULFONAMIDOL SELENOMORPHOLINE BY MICROCALORIMETRY

Antibacterial action of 4-[p-acetylamino benzenesulfonamido] selenomorpholine (SeB) was studied by microcalorimetry with an LKB-2277 Bioactivity Moni-tor. It was found that SeB had the capacity to inhibit the metabolic growth of Escherichia coli. But in different sol-vent, the extent of inhibition is different. Removing the effect of solvent, we obtained the half-inhibition conce.ntra-tion(IC50) of SeB from the power-time curves. The value of IC50 of SeB was 1319μg ·mL-1.

Oral fluoroquinolones and the risk of Achilles tendon rupture

Dear editor,Fluoroquinolones(FQs)are a class of antibiotics used to treat bacterial infections,such as lower respiratory,gastrointestinal,and urinary tract infections.Due to its broad-spectrum action and wide availability,it is a commonly prescribed group of antibiotics worldwide.^(1)

Research progress in pharmacological actions of ginsenoside-Rg3

Ginseng is a traditional Chinese medicine with a long medicinal history.Ginsenoside is the main compo⁃nent of ginseng,among which the ginsenoside-Rg3 possess higher medicinal value.The pharmacological studies reported that the ginsenoside-Rg3 exhibit a variety of pharmacological actions.For example,the ginsenoside-Rg3 exhibit an effective inhibitory effect against cancer and induce apoptosis,such as glioma,lung cancer,liver cancer,breast cancer,ovarian cancer,cervical cancer and so on.The anti-cancer effect will be significantly increased by combinning chemotherapy drugs with ginsenoside-Rg3.In addition,ginsenoside-Rg3 can reduce the side effects of chemotherapy drugs,such as cardiotoxicity and nephrotoxicity.Furthermore,ginsenoside-Rg3 could reverse the multidrug resistance of cancer cells against anticancer drugs.What′s more,ginsenoid-Rg3 has several other pharmacological actions as follows.At first,ginsenoid-Rg3 appears to anti-fatigue effect by reversing the dopamine reduction induced by fatigue.Secondly,ginsenoid-Rg3 can reverse chemical-induced memory damage and improve memory to exert neuroprotective effect.Finally,ginsenoid-Rg3 can improve mitochondrial function and insulin tolerance in skeletal muscle,suggesting that ginsenoid-Rg3 can be used as a hypoglycemic drug.In this review,I present an overview of the pharmacological actions of ginsenoside-Rg3 to provide theoretical guidance for further development and utilization of ginsenoside-Rg3.