融合Mind Map优势助力完善线上线下教学衔接--以园林树木学树种识别教学为例

疫情当前,线上线下混合式教学已经成为课程教学新模式。树种识别是园林树木学教学的重点和难点,也是教学目的之一。由于课程涉及的树种种类繁多,知识点琐碎,专业术语抽象,再加上课时少任务重,使得教师在教学过程中无法将所有树种的特征逐一讲解到,学生在学习过程中也容易混淆,无法有效吸收知识点。因此,在课程的教学改革中,通过引入Mind Map帮助厘清知识框架,优化知识结构,搭建知识关联,不仅使教师授课过程更顺畅,而且能够激发学生在线学习的兴趣,促使学生养成“整理知识点”的良好习惯,使学习效率大幅度提高,从而创建高效的线上课堂,有效巩固混合式教学的教学效果。

“心灵”语词的历史—因果关联——唯心主义与“Mind”“Geist”“Idealism”及其他

现代有关心灵、意识和智能的汉语研究,首先是从西方引入,然后再自主展开的,因此汉语翻译就是必由之路。一百多年来的相关逻译并非有计划而系统地进行,而是散漫地开展的,译法则呈现出不小的差异。汉语所要逻译的又是来自多个语种的心灵、意识和心理等簇词语,这又可能进一步加剧汉译在理解和术语方面的差异。但在上述复杂的情形之下,在心灵和意识等领域,汉语译名却表现出了一定程度的一致性或统一性。那么现在要探讨的问题就是,这种一致性的原因或约束是什么?为了澄清这个问题,我们考察和分析了英语和德语有关心灵的一簇词语之间的词源的和意义的关联,通过追溯和澄清它们的本义、核心意义以及主要衍生意义,说明它们彼此之间的对应关系和差异,循此寻找它们与汉语相应一簇词语的某些对应和关联关系,从其中发现汉语一思想的秩序及其某种内在的约束。在这样的语境中,我们同时揭示了“idealism”的广阔而深厚的意义,并诠证它之所以译为唯心主义的充分理由。

基于Mind+软件的口罩识别与无接触测温装置研究与设计

为了减轻疫情防控中工作人员的负担,降低交叉感染的风险,提高防疫工作效率,设计了一种使用Mind+编程的口罩识别与无接触测温装置。该装置以Arduino作为控制平台,采用HuskyLens模块进行口罩识别,使用非接触式温度传感器MLX90614来测量人体表面温度。该装置经过多次测试,口罩识别准确率为95.83%,温度测量的平均相对误差为0.46%,能够自动检查出未正确佩戴口罩或者体温异常的通行人员,并发出报警信号,禁止其入内。从而有效地减少防疫人员的工作量,降低防疫成本。

基于Mind+编程软件的“光照条件影响光合作用强度”实验的改进与创新

在探究“光照条件”对光合作用强度影响的实验中,对光照强度、光质和光照时间等变量的精准控制是实验成败的关键因素。利用Mind+编程软件,实现256种光照强度的变化;在提高光质纯度的同时,实现70种光质的选择;探究任意频闪频率对光合作用强度的影响。本实验实现跨学科融合,体现了探究实验的科学性、实用性和创新性。

Assessment of Wet Season Precipitation in the Central United States by the Regional Climate Simulation of the WRFG Member in NARCCAP and Its Relationship with Large-Scale Circulation Biases

Assessment of past-climate simulations of regional climate models(RCMs)is important for understanding the reliability of RCMs when used to project future regional climate.Here,we assess the performance and discuss possible causes of biases in a WRF-based RCM with a grid spacing of 50 km,named WRFG,from the North American Regional Climate Change Assessment Program(NARCCAP)in simulating wet season precipitation over the Central United States for a period when observational data are available.The RCM reproduces key features of the precipitation distribution characteristics during late spring to early summer,although it tends to underestimate the magnitude of precipitation.This dry bias is partially due to the model’s lack of skill in simulating nocturnal precipitation related to the lack of eastward propagating convective systems in the simulation.Inaccuracy in reproducing large-scale circulation and environmental conditions is another contributing factor.The too weak simulated pressure gradient between the Rocky Mountains and the Gulf of Mexico results in weaker southerly winds in between,leading to a reduction of warm moist air transport from the Gulf to the Central Great Plains.The simulated low-level horizontal convergence fields are less favorable for upward motion than in the NARR and hence,for the development of moist convection as well.Therefore,a careful examination of an RCM’s deficiencies and the identification of the source of errors are important when using the RCM to project precipitation changes in future climate scenarios.

Semi-analytical solution for drained expansion analysis of a hollow cylinder of critical state soils

The expansion of a thick-walled hollow cylinder in soil is of non-self-similar nature that the stress/deformation paths are not the same for different soil material points.As a result,this problem cannot be solved by the common self-similar-based similarity techniques.This paper proposes a novel,exact solution for rigorous drained expansion analysis of a hollow cylinder of critical state soils.Considering stress-dependent elastic moduli of soils,new analytical stress and displacement solutions for the nonself-similar problem are developed taking the small strain assumption in the elastic zone.In the plastic zone,the cavity expansion response is formulated into a set of first-order partial differential equations(PDEs)with the combination use of Eulerian and Lagrangian descriptions,and a novel solution algorithm is developed to efficiently solve this complex boundary value problem.The solution is presented in a general form and thus can be useful for a wide range of soils.With the new solution,the non-self-similar nature induced by the finite outer boundary is clearly demonstrated and highlighted,which is found to be greatly different to the behaviour of cavity expansion in infinite soil mass.The present solution may serve as a benchmark for verifying the performance of advanced numerical techniques with critical state soil models and be used to capture the finite boundary effect for pressuremeter tests in small-sized calibration chambers.

Association of DNA methylation/demethylation with the functional outcome of stroke in a hyperinflammatory state

Inflammation is closely related to stroke prognosis, and high inflammation status leads to poor functional outcome in stroke. DNA methylation is involved in the pathogenesis and prognosis of stroke. However, the effect of DNA methylation on stroke at high levels of inflammation is unclear. In this study, we constructed a hyperinflammatory cerebral ischemia mouse model and investigated the effect of hypomethylation and hypermethylation on the functional outcome. We constructed a mouse model of transient middle cerebral artery occlusion and treated the mice with lipopolysaccharide to induce a hyperinflammatory state. To investigate the effect of DNA methylation on stroke, we used small molecule inhibitors to restrain the function of key DNA methylation and demethylation enzymes. 2,3,5-Triphenyltetrazolium chloride staining, neurological function scores, neurobehavioral tests, enzyme-linked immunosorbent assay, quantitative reverse transcription PCR and western blot assay were used to evaluate the effects after stroke in mice. We assessed changes in the global methylation status by measuring DNA 5-mc and DNA 5-hmc levels in peripheral blood after the use of the inhibitor. In the group treated with the DNA methylation inhibitor, brain tissue 2,3,5-triphenyltetrazolium chloride staining showed an increase in infarct volume, which was accompanied by a decrease in neurological scores and worsening of neurobehavioral performance. The levels of inflammatory factors interleukin 6 and interleukin-1 beta in ischemic brain tissue and plasma were elevated, indicating increased inflammation. Related inflammatory pathway exploration showed significant overactivation of nuclear factor kappa B. These results suggested that inhibiting DNA methylation led to poor functional outcome in mice with high inflammation following stroke. Further, the effects were reversed by inhibition of DNA demethylation. Our findings suggest that DNA methylation regulates the inflammatory response in stroke and has an important role in the functional outcome of hyperinflammatory stroke.

Whole-process case management effects on mental state and selfcare ability in patients with liver cancer

BACKGROUND Regarding the incidence of malignant tumors in China,the incidence of liver cancer ranks fourth,second only to lung,gastric,and esophageal cancers.The case fatality rate ranks third after lung and cervical cancer.In a previous study,the whole-process management model was applied to patients with breast cancer,which effectively reduced their negative emotions and improved treatment adherence and nursing satisfaction.METHODS In this single-center,randomized,controlled study,60 randomly selected patients with liver cancer who had been admitted to our hospital from January 2021 to January 2022 were randomly divided into an observation group(n=30),who received whole-process case management on the basis of routine nursing mea-sures,and a control group(n=30),who were given routine nursing measures.We compared differences between the two groups in terms of anxiety,depression,the level of hope,self-care ability,symptom distress,sleep quality,and quality of life.RESULTS Post-intervention,Hamilton anxiety scale,Hamilton depression scale,memory symptom assessment scale,and Pittsburgh sleep quality index scores in both groups were lower than those pre-intervention,and the observation group had lower scores than the control group(P<0.05).Herth hope index,self-care ability assessment scale-revision in Chinese,and quality of life measurement scale for patients with liver cancer scores in both groups were higher than those pre-intervention,with higher scores in the observation group compared with the control group(P<0.05).CONCLUSION Whole-process case management can effectively reduce anxiety and depression in patients with liver cancer,alleviate symptoms and problems,and improve the level of hope,self-care ability,sleep quality,and quality of life,as well as provide feasible nursing alternatives for patients with liver cancer.

The Influential Mechanisms of Theory of Mind on Prosocial Behavior and the Effect of Mindfulness Intervention

Background:Theory of Mind(ToM)and empathy are crucial cognitive and emotional capacities that influence social interactions.While their role in promoting prosocial behavior has been established,the potential moderating effect of mindfulness on this relationship remains unexplored.Understanding these complex interactions is vital for developing effective interventions to foster prosocial behavior among college students.This study examines the influence of ToM on college students’prosocial behavior and explores the moderating role of mindfulness in this relationship.Methods:A mixed-methods approach combining questionnaires and experimental design was employed.Study 1:A survey of 759 college students(mean age 22.03 years;477 females)was conducted using the ToM Scale,Interpersonal Reactivity Index,Prosocial Behavior Tendency Scale,and Mindfulness Awareness Scale.Data were analyzed using correlation and moderated mediation analyses.Study 2:An 8-week mindfulness attention training program was implemented for the intervention group and compared with a control group.Mindfulness training served as a moderating variable to validate Model 59 from Study 1.Results:1.Study 1 found:(a)ToM was significantly positively correlated with prosocial behavior(r=0.31,p<0.01).(b)Empathy partially mediated the relationship between ToM and prosocial behavior(β=0.10,p<0.001,95%CI[0.06,0.14]).(c)Mindfulness negatively moderated the direct path between ToM and three dimensions of prosocial behavior,as well as the indirect path between empathy and kin altruism and reciprocal altruism.Specifically,high levels of mindfulness weakened the direct impact of ToM on prosocial behavior.High levels of mindfulness also weakened the indirect influence of ToM on prosocial behavior through empathy.2.Study 2 results showed:(a)The intervention group had significantly higher levels of trait mindfulness compared to the control group(t=2.56,p<0.05).(b)The validity of the moderated mediation model 59 from Study 1 was verified.Conclusion:While ToM and empathy play crucial roles in fostering prosocial behavior,mindfulness exhibits a more complex influence than anticipated,potentially inhibiting prosocial behavior under certain circumstances.These findings offer novel insights into the psychological mechanisms underlying prosocial behavior and underscore the importance of considering multiple interacting factors in its promotion.

Mindfulness and mindful parenting:Strategies for preschoolers with behavioral issues

The behavior issues of preschoolers are closely related to their parents'parenting styles.This editorial discusses the value and strategies for solving behavior issues in preschoolers from the perspectives of mindfulness and mindful parenting.We expect that upcoming studies will place greater emphasis on the behavioral concerns of preschoolers and the parenting practices that shape them,particularly focusing on proactive interventions for preschoolers'behavioral issues.

Preparation of entangledW states based on the cavity QED system

We present a qubit-loss-free(QLF)fusion scheme for generating large-scale atom W states in cavity quantum electrodynamics(QED)system.Compared to the most current fusion schemes which are conditioned on the case where one particle can be extracted from each initial W state to the fusion process,our scheme will access one or two particles from each W state.Based on the atom–cavity-field detuned interaction,three jWin+m+t states can be generated from the jWin,jWim,and jWit states with the help of two auxiliary atoms,and three jWin+m+t+q states can be generated from jWin,jWim,jWit,and a jWiq state with the help of three auxiliary atoms.Comparing the numerical simulations of the resource cost of fusing three small-size W states based on the previous schemes,our fusion scheme seems to be more efficient.This QLF fusion scheme can be generalized to the case of fusing k different or identical particle W states.Furthermore,with no qubit loss,it greatly reduces the number of fusion steps and prepares W states with larger particle numbers.

Entropy variances of pure coherent states in the diffusion channel

Using the operator correspondence of the real and fictious modes in the thermo entangled state representation, wesolve the quantum master equation describing the diffusion channel and obtain the Kraus operator-sum representation ofits analytical solution. we find that the pure coherent states evolve into the new mixed thermal superposed states in thediffusion channel. Also, we investigate the statistical properties of the initial coherent states and their entropy evolutions inthe diffusion channel, and find that the entropy evolutions are only related to the decay time and without the amplitudes ofthe initial coherent states.

Text Difficulty,Working Memory Capacity and Mind Wandering During Chinese EFL Learners’Reading

This experimental study investigated how text difficulty and different working memory capacity(WMC)affected Chinese EFL learners’reading comprehension and their tendency to engage in task-unrelated thoughts,that is,mind wandering(MW),in the course of reading.Sixty first-year university non-English majors participated in the study.A two-factor mixed experimental design of 2(text difficulty:difficult and simple)×2(WMC:high/large and low/small)was employed.Results revealed that 1)the main and interaction effects of WMC and text difficulty on voluntary MW were significant,whereas those on involuntary MW were not;2)while reading the easy texts,the involuntary MW of high-WMC individuals was less frequent than that of low-WMC ones,whereas while reading the difficult ones,the direct relationship between WMC and involuntary MW was not found;and that 3)high-WMC individuals had a lower overall rate of MW and better reading performance than low-WMC individuals did,but with increasing text difficulty,their rates of overall MW and voluntary MW were getting higher and higher,and the reading performance was getting lower and lower.These results lend support to WM theory and have pedagogical implications for the instruction of L2 reading.

Mindfulness Facets and Psychological Well-Being among Meditators:Serenity as a Mediating Process

Guided by the theoretical processes of mindfulness and psychological well-being,this study examined serenity as a mediator between mindfulness facets and psychological well-being,as indexed by depressive symptoms and life satisfaction.Participants were 133 mindfulness practitioners who took part in a 3-day transnational meditation event in Hong Kong.Upon informed consent,participants completed a self-report questionnaire.The findings from structural equation modeling showed that serenity mediated the relation between two facets of mindfulness,including describing and nonreacting to inner experience,and life satisfaction.Serenity also mediated the relation between the mindfulness facet of describing and depressive symptoms.Direct associations were indicated between two mindfulness facets,including observing and nonjudging of inner experience,and depressive symptoms.Taken together,the findings revealed mindfulness facets as major correlates of serenity and psychological outcomes among Chinese meditation practitioners.To foster psychological well-being,researchers,educators,and practitioners should pay attention to the role of serenity,describing,and nonreacting to inner experience in mental health.

Machine-learning-assisted efficient reconstruction of the quantum states generated from the Sagnac polarization-entangled photon source

Neural networks are becoming ubiquitous in various areas of physics as a successful machine learning(ML)technique for addressing different tasks.Based on ML technique,we propose and experimentally demonstrate an efficient method for state reconstruction of the widely used Sagnac polarization-entangled photon source.By properly modeling the target states,a multi-output fully connected neural network is well trained using only six of the sixteen measurement bases in standard tomography technique,and hence our method reduces the resource consumption without loss of accuracy.We demonstrate the ability of the neural network to predict state parameters with a high precision by using both simulated and experimental data.Explicitly,the mean absolute error for all the parameters is below 0.05 for the simulated data and a mean fidelity of 0.99 is achieved for experimentally generated states.Our method could be generalized to estimate other kinds of states,as well as other quantum information tasks.

Target layer state estimation in multi-layer complex dynamical networks considering nonlinear node dynamics

In many engineering networks, only a part of target state variables are required to be estimated.On the other hand,multi-layer complex network exists widely in practical situations.In this paper, the state estimation of target state variables in multi-layer complex dynamical networks with nonlinear node dynamics is studied.A suitable functional state observer is constructed with the limited measurement.The parameters of the designed functional observer are obtained from the algebraic method and the stability of the functional observer is proven by the Lyapunov theorem.Some necessary conditions that need to be satisfied for the design of the functional state observer are obtained.Different from previous studies, in the multi-layer complex dynamical network with nonlinear node dynamics, the proposed method can estimate the state of target variables on some layers directly instead of estimating all the individual states.Thus, it can greatly reduce the placement of observers and computational cost.Numerical simulations with the three-layer complex dynamical network composed of three-dimensional nonlinear dynamical nodes are developed to verify the effectiveness of the method.

Topological edge and corner states of valley photonic crystals with zipper-like boundary conditions

We present a stable valley photonic crystal(VPC)unit cell with C_(3v)symmetric quasi-ring-shaped dielectric columns and realize its topological phase transition by breaking mirror symmetry.Based on this unit cell structure,topological edge states(TESs)and topological corner states(TCSs)are realized.We obtain a new type of wave transmission mode based on photonic crystal zipper-like boundaries and apply it to a beam splitter assembled from rectangular photonic crystals(PCs).The constructed beam splitter structure is compact and possesses frequency separation functions.In addition,we construct a box-shaped triangular PC structures with zipper-like boundaries and discover phenomena of TCSs in the corners,comparing its corner states with those formed by other boundaries.Based on this,we explore the regularities of the electric field patterns of TESs and TCSs,explain the connection between the characteristic frequencies and locality of TCSs,which helps better control photons and ensures low power consumption of the system.

Predicted Critical State Based on Invariance of the Lyapunov Exponent in Dual Spaces

Critical states in disordered systems,fascinating and subtle eigenstates,have attracted a lot of research interests.However,the nature of critical states is difficult to describe quantitatively,and in general,it cannot predict a system that hosts the critical state.We propose an explicit criterion whereby the Lyapunov exponent of the critical state should be 0 simultaneously in dual spaces,namely the Lyapunov exponent remains invariant under the Fourier transform.With this criterion,we can exactly predict a one-dimensional quasiperiodic model which is not of self-duality,but hosts a large number of critical states.Then,we perform numerical verification of the theoretical prediction and display the self-similarity of the critical state.Due to computational complexity,calculations are not performed for higher dimensional models.However,since the description of extended and localized states by the Lyapunov exponent is universal and dimensionless,utilizing the Lyapunov exponent of dual spaces to describe critical states should also be universal.Finally,we conjecture that some kind of connection exists between the invariance of the Lyapunov exponent and conformal invariance,which can promote the research of critical phenomena.

Screening of Rodents from Rural Communities of Lagos and Ogun State Nigeria of Lassa Virus RNA

Background: In recent times, there has been an increase in the number of Lassa fever cases resulting from the several episodes of Lassa fever epidemics ravaging Nigeria and other West African countries. The presence of Lassa virus in rodents other than the major reservoir (Mastomys natalensis) has been a public health concern as to the actual burden of the disease. It is therefore of a public health necessity to explore the LASV RNA habouring potential of several species of rodents in endemic as well as non-endemic areas for proper prevention of emergence of outbreaks in non-endemic areas. Objectives: The aim of this study was to detect the presence of LASV RNA in different species of rodents in Ikorodu, Lagos state and Abeokuta, Ogun state. Methods: A total of ninety one (91) rodents were captured from Ikorodu, Lagos State (61 rodents) and Abeokuta, Ogun State (30 rodents), euthanized, bled, and plasma obtained for the detection of LASV RNA by Reverse Transcriptase Polymerase Chain Reaction. Results: A total of 91 rodents consisting of 77 Rattus rattus and 14 Crocidura spp. The S segment of LASV RNA was not in any of the 91 rodents’ plasma samples. Conclusion: The rodents captured within the rural communities of Ikorodu, Lagos State and Abeokuta, Ogun State were found not to habour the LASV RNA. This study is limited by the relatively small sample size. Similar studies should be encouraged both in endemic and non-endemic areas in order to understand the actual burden of Lassa fever as well as put into check future epidemics.

The Effects of Mindfulness-Based Interventions on Symptoms of Mild Traumatic Brain Injury:A Systematic Review

Mindfulness-based interventions(MBIs)are emerging non-pharmacological treatments for mild traumatic brain injury(mTBI).In this systematic review,the authors aimed to evaluate the potential efficacy of MBIs to provide recommendations for treating patients with mTBI.We searched of the English literature on MBIs for patients with mTBI as of 01 September,2023,using the PubMed,Web of Science,PsycINFO,and Scopus databases.One author performed data extraction and quality scoring of the included literature according to the proposed protocol,and another conducted the review.The review was not registered.A total of 11 studies met the final inclusion criteria,5 of which involved military personnel(veterans).MBIs covered in this review include goal-oriented attention self-regulation(GOALS),mindfulness-based stress reduction(MBSR),acceptance and commitment therapy(ACT),and so on.Research shows that MBSR mainly reduces mental fatigue symptoms in mTBI patients,and GOALS tend to improve their cognitive function.The effect of MBIs on psychological symptoms needs further exploration.Other studies,such as mindfulness-based group therapy and intervention studies targeting mTBI military personnel,are relatively sparse.MBIs have specific effects on mental fatigue and cognitive dysfunction in patients with mTBI.However,the effect on psychological distress and the sustained effectiveness across all symptoms still need further exploration.Considering the particularity of military personnel suffering from mTBI,researchers need to do more intervention studies targeting mTBI military personnel.Therefore,the design of future MBIs trials for mTBI patients’needs to take into account all the factors,such as different populations and severity of traumatic brain injury,to verify the effectiveness of MBIs in alleviating mTBI symptoms and explore the mechanism of intervention.