Seeking the Self-consciousness of Black Woman from the Point of View of“Womanism”in Everyday Use

Alice Walker is one of the prominent American writers in American women' s literature and black literature in 1950s-1960s.The short story Everyday Use was published early in her writing career.She displays the differences in the behav iors and minds of the mother and her two daughters during the process of seeking the self-consciousness of black woman from the point of view of " womanism".This paper attempts to explore the awakening of their heritage and self-consciousness in or der to deepen the understanding and thoughts on the theme of the text.

Study on Self-consciousness of Children With Learning Disabilities and Related Factors

Objective To study the self-consciousness of children with learning disabilities (LD) and to identify related factors. Methods Five hundred and sixty pupils graded from 1 to 6 in an elementary school were investigated. According to the pupil rating scale revised screening for learning disabilities (PRS), combined Raven’s test (CRT) and achievement of main courses, 35 of 560 pupils were diagnosed as LD children. Thirty-five children were selected from the average children and 35 from advanced children in academic achievement equally matched in class, gender, and age with LD children as control groups. The three groups were tested by Piers-Harris children’s self-concept scale. Basic information of each subject was collected by self-made questionnaire. Results Compared with the average and advanced children, LD children got significantly lower scores in self-concept scale. Based on logistic regression analysis, 3 factors were identified, including family income per month, single child and delivery model. Conclusion The results suggest that self-consciousness of children with LD is lower than that of normal children.

The Relationship between College Graduate’s Dual Self-Consciousness and Job Search Clarity: The Mediating Role of Perceived Stress

The aim of the study was to explore the relationship between college graduates’dual self-consciousness,job search clarity and perceived stress,and reveal the mediating role of perceived stress between dual self-consciousness and job search clarity.In this study,467 college graduates were investigated using the Dual Self-Consciousness Scale,Job Search Clarity Scale,and Perceived Stress Scale.After controlling for gender,age,and region,the results revealed that:(1)private self-consciousness has a significant positive predictive effect on job search clarity;(2)perceived stress has a significant negative predictive effect on job search clarity;(3)perceived stress plays partial mediation effects between private self-consciousness and job search clarity;(4)perceived stress plays complete mediation effects between public self-consciousness and job search clarity;(5)perceived stress has suppressing effects between public self-consciousness and job search clarity.

The Conflicts of Huck''s Self-consciousness and His Spiritual Growth in Adventures of Huckleberry Finn

Adventures of Huckleberry Finn is one of the masterpieces of American novelist Mark Twain. In this novel, Twain not onlydescribes the courageous adventures of Huck, but also his psychological or spiritual growth. Due to the social and cultural back-ground of that time and general cultural concept the protagonist was instilled before, the conflicts of the protagonist's self-con-sciousness appear many times in this novel when the issue of slavery is concerned. However, through the protagonist's inner con-flicts, he finally gains spiritual growth and obtains a higher level of moral maturity.

The Study on Self-consciousness in Flow

The issue of consciousness is a core issue in flow theory.The key element of flow is concentration,which is based on self-control and the order of consciousness.Flow usually gives people a feeling of ecstasy,but this disappearance of self-awareness does not mean the disappearance of the self.Self still controls actions and thinking.The abnormality of the sense of time in flow is related to the disappearance of self-consciousness.Reflection provides the dynamic situation of behavior and helps people adjust themselves in time to achieve the optimal experience of heart flow.

Risk assessment of oil and gas investment environment in countries along the Belt and Road Initiative

With the implementation of the Belt and Road Initiative, China is deepening its cooperation in oil and gas resources with countries along the Initiative. In order to better mitigate risks and enhance the safety of investments, it is of significant importance to research the oil and gas investment environment in these countries for China's overseas investment macro-layout. This paper proposes an indicator system including 27 indicators from 6 dimensions. On this basis, game theory models combined with global entropy method and analytic hierarchy process are applied to determine the combined weights, and the TOPSIS-GRA model is utilized to assess the risks of oil and gas investment in 76 countries along the Initiative from 2014 to 2021. Finally, the GM(1,1) model is employed to predict risk values for 2022-2025. In conclusion, oil and gas resources and political factors have the greatest impact on investment environment risk, and 12 countries with greater investment potential are selected through cluster analysis in conjunction with the predicted results. The research findings may provide scientific decisionmaking recommendations for the Chinese government and oil enterprises to strengthen oil and gas investment cooperation with countries along the Belt and Road Initiative.

A Brief Discussion on the Development of the Silk-Weaving Industry Along the “Southern Silk Road” in Yunnan

Ancient Yunnan was one of the most significant regions along China’s ancient“Southern Silk Road.”During the Nanzhao period(738–902)of the late Tang Dynasty,Yunnan’s silk-weaving industry underwent a qualitative leap as skilled silk craftsmen from the Bashu area migrated to Yunnan and introduced mulberry planting,silkworm breeding,and advanced silk-weaving techniques from Sichuan to the region.Consequently,people in Yunnan gradually acquired expertise in brocade weaving and embroidery.Many even mastered complex silk-weaving techniques.The development and progress of the silk-weaving industry in the ancient Yunnan region were intricately linked to the economic function and value of silk as both a commodity and currency along the“Southern Silk Road.”The local government in ancient Yunnan was greatly motivated by the economic interests brought by the development of silk-related industries and recognized the significance of developing the local silk industry.They even initiated a campaign to capture skilled silk craftsmen from Sichuan,aiming to foster the growth of the silk-weaving industry in Yunnan.After years of dedicated efforts from the local government in ancient Yunnan,the region emerged as a significant hub for silk production along China’s ancient“Southern Silk Road.”Despite the devastation caused by the wars in other parts of the country,Yunnan’s silk industry continued to thrive and provide ample silk products to sustain trade along this renowned route.In the contemporary era,amidst the decline of the silk-weaving industry in eastern China,Yunnan has proposed an industrial development strategy known as“relocating the silk-weaving industry from east to west.”This involves introducing advanced silk production techniques from the eastern regions into Yunnan to enhance and enrich its local silk industry,thereby establishing it as a traditional national sector and securing a competitive position within the global silk market.The historical experience of Yunnan’s silk industry demonstrated that economic development opportunities can only be seized through proactive endeavors rather than passive anticipation.The modern Yunnan silk industry,which upholds its historical traditions,continues to actively engage in international high-end technical cooperation,thus ensuring the enduring vitality of the ancient“Southern Silk Road.”

基于ROAD的租车订购系统业务流程建模

基于业务架构为中心的企业架构开发思路,采用开放组架构框架(TOGAF)业务架构ACF元模型的划分,提出了一种ROAD架构迭代建模方法。针对目前ROAD元架构中业务活动模型采用IDEF0的活动模型导致的面向场景业务能力的不足,文中通过使用BPMN模型来覆盖IDEF0的活动建模,避免在描述复杂的业务过程时可能存在的局限性,并且更好地捕捉和表示所有的细节和关系,不会使得模型过于抽象。从而实现面向场景的系统建模和管理,提高业务架构设计的效率和精度。最后,文章中以旅游出行租车订购系统为例的方法,采用ROAD元架构方法建立场景化业务架构模型组,并对其进行讨论和改进,为现有架构体系提供一种面向场景的扩展思路。

Phenomenal Consciousness, Self-Consciousness and Animal Suffering

In this article I will confront Antonio Damasio＇s theory （exposed in his last book Self Comes to Mind） with the criticism it received from Ned Block. The latter holds that Damasio does not distinguish the concepts of phenomenal consciousness and self-consciousness and this has two kinds of consequences. One is that it cannot satisfactorily explain certain mental states （dreams, vegetative states）; the other is that it has harmful consequences for animal ethics. I maintain that to compare the two theories we can only rely on our pre-theoretical intuition of consciousness. Thus, I argue that Dam^tsio＇s theory combines more with our intuitions. One of the reasons is that the cases that Block describes as phenomenal consciousness without access consciousness （and without self-consciousness） are best explained as being cases of mind without consciousness. Dam^sio＇s theory can also explain those referred cases which are theoretically problematic. Moreover, Dam^isio has a threshold model （an expression by Barry Dainton）, which is something that Block seems to ignore. This model fits well with the intuitions and neurological knowledge that we normally have on animal consciousness. Dam^isio＇s core self and his theory of emotions and feelings allow us to understand why we feel compassion for animals. Therefore, we are able to develop an animal ethics, which does not mean that we are required to do so. So even though Damasio does not solve the mystery of consciousness, he should not be the subject of Block＇s criticism.

The Rise of the Elizabethan Language:Self-consciousness and Language Policy

The notion of"Queen's English",depending on who is the ruler of the time,could be traced back to the sixteenth century,when the idea that the monarch's usage of the language should be a model in speech and writing.That is where the"Elizabethan English" originated from.From the linguistic point of view,Elizabethan English is categorized into Early Modern English,which dominantly spanned the Renaissance,Elizabethan era and Shakespeare.On a smaller scale,this paper focused upon language itself,trying to exemplify the rise of Elizabethan Language from the second half of 16th century to the outset of 17th century by presenting two factors of self-consciousness and the relevant policy.

Self-consciousness in Black Literature

The Black self-consciousness is an eternal literay theme seriously treated in American Literature and Black Literature in particular,This paper gives a survey of the progress of Black self-consciousness in which Black Americans have neen struggling continously to earn their freedom and equality,and later to restore their own self-respect and confidence.The progressive self-consciousness is evidently demonstrated in this paper by comparative analysis of various Black figures,from the obedient and meek Ngro slaves represented by Uncle Tom to the rebellious and difi-ant characters portrayed by Richard Wright and Ralph Ellison,In reality,the promising generation involved in the Harlem Renaissance have taken some measures to search for their own identity in a highly organized and prejudiced society.

The Awakening of Self-consciousness of the African American Women—an Analysis of Dee in Everyday Use

Alice Walker is one of the prominent American writers in American women's literature and black literature in 1950s-1960s. Everyday Use is regarded as Alice Walker's best-written short story. The prevailing opinion among the critics about this story is that Dee is the traitor of black American's cultural heritage, and the mother and Maggie are the hope of true value of the African Americans' tradition and heritage; however, after considering the historical and cultural background of the story, we may safely come to the conclusion that Dee actually took the first step toward the awakening of self-consciousness of the African Americans women.

3D Road Network Modeling and Road Structure Recognition in Internet of Vehicles

Internet of Vehicles (IoV) is a new system that enables individual vehicles to connect with nearby vehicles,people, transportation infrastructure, and networks, thereby realizing amore intelligent and efficient transportationsystem. The movement of vehicles and the three-dimensional (3D) nature of the road network cause the topologicalstructure of IoV to have the high space and time complexity.Network modeling and structure recognition for 3Droads can benefit the description of topological changes for IoV. This paper proposes a 3Dgeneral roadmodel basedon discrete points of roads obtained from GIS. First, the constraints imposed by 3D roads on moving vehicles areanalyzed. Then the effects of road curvature radius (Ra), longitudinal slope (Slo), and length (Len) on speed andacceleration are studied. Finally, a general 3D road network model based on road section features is established.This paper also presents intersection and road section recognition methods based on the structural features ofthe 3D road network model and the road features. Real GIS data from a specific region of Beijing is adopted tocreate the simulation scenario, and the simulation results validate the general 3D road network model and therecognitionmethod. Therefore, thiswork makes contributions to the field of intelligent transportation by providinga comprehensive approach tomodeling the 3Droad network and its topological changes in achieving efficient trafficflowand improved road safety.

The Relationship between Consumers'Public Self-consciousness and their Purchase Intention of the New Luxury Goods

The era of consumption upgrade has begun due to the rapid economic development.Nowadays,the new luxuryconsumption is prevailing,and China has emerged as the primary consumer of these luxury goods.Based on the public self-consciousness of consumers,the relationship between this aspect and consumers'purchase intentions of the new luxury goodsis explored.This study investigated the impact of consumers'public self-consciousness on their willingness to purchase newluxury goods,validated the proposed hypothesis by design experiments,and used the linear regression analysis of theexperimental data.This study showed that the higher the consumer's public self-consciousness,the more inclined they wereto purchase these luxury goods.The findings of this study would be helpful to expand and enrich the researeh of the newluxury consumption behaviors in consideration that public self-consciousness is hardly reflected in recent research.Hence,this study would enlighten and acts as a significant reference for companies of the new luxury goods to develop more effectivemarketing strategies.

Automation in road distress detection,diagnosis and treatment

Road transportation plays a crucial role in society and daily life,as the functioning and durability of roads can significantly impact a nation's economic development.In the whole life cycle of the road,the emergence of disease is unavoidable,so it is necessary to adopt relevant technical means to deal with the disease.This study comprehensively reviews the advancements in computer vision,artificial intelligence,and mobile robotics in the road domain and examines their progress and applications in road detection,diagnosis,and treatment,especially asphalt roads.Specifically,it analyzes the research progress in detecting and diagnosing surface and internal road distress and related techniques and algorithms are compared.In addition,also introduces various road gover-nance technologies,including automated repairs,intelligent construction,and path planning for crack sealing.Despite their proven effectiveness in detecting road distress,analyzing diagnoses,and planning maintenance,these technologies still confront challenges in data collection,parameter optimization,model portability,system accuracy,robustness,and real-time performance.Consequently,the integration of multidisciplinary technologies is imperative to enable the development of an integrated approach that includes road detection,diagnosis,and treatment.This paper addresses the challenges of precise defect detection,condition assessment,and unmanned construction.At the same time,the efficiency of labor liberation and road maintenance is achieved,and the automation level of the road engineering industry is improved.

Local failure mechanism of sand-blocking fence in latticed dune along desert roads

The latticed dunes in the Tengger Desert are widely distributed,and the sand-blocking fence placed here are highly susceptible to local failure due to complex wind-sand activities,posing a serious threat to the safe operation of the highway.To explore the local failure mechanism of sand-blocking fence in the latticed dune area,the local failure of sand-blocking fence in the latticed dune areas along the Wuhai-Maqin Highway in China was observed.Taking the first main ridge of the latticed dune as the placement location,the structure of the wind-sand flow field of sand-blocking fence placed at top,the bottom and the middle of windward slope was analyzed by Computational Fluid Dynamics(CFD).The results show that when placed at top of the first main ridge,the wind speed near the sand-blocking fence is the highest,up to 15.23 m/s.Therefore,the wind load strength on the sand barrier is correspondingly larger,up to 232.61 N∙m-2.As the strength of material continues to decrease,the nylon net is prone to breakage.The roots of the angle steel posts are susceptible to hollowing by vortex action,which can cause sand-blocking fence to fall over in strong wind conditions.When placed at the bottom of windward slope,wind speed drop near sand-blocking fence is greatest,with the decrease of 12.48-14.32 m/s compared to the original wind speed.This is highly likely to lead to large-scale deposition of sand particles and burial of the sand-blocking fence.When placed in the middle of windward slope,sand-blocking fence is subjected to less wind load strength(168.61N∙m-2)and sand particles are mostly deposited at the bottom of windward slope,with only a small amount of sand accumulating at the root of sand-blocking fence.Based on field observations and numerical modelling results,when the sand-blocking fence is placed in latticed dune area,it should be placed in the middle of the windward slope of the first main ridge as a matter of priority.Besides the sand-blocking fence should be placed at the top of the first main ridge,and sand fixing measures should be added.

ConvNeXt-UperNet-Based Deep Learning Model for Road Extraction from High-Resolution Remote Sensing Images

When existing deep learning models are used for road extraction tasks from high-resolution images,they are easily affected by noise factors such as tree and building occlusion and complex backgrounds,resulting in incomplete road extraction and low accuracy.We propose the introduction of spatial and channel attention modules to the convolutional neural network ConvNeXt.Then,ConvNeXt is used as the backbone network,which cooperates with the perceptual analysis network UPerNet,retains the detection head of the semantic segmentation,and builds a new model ConvNeXt-UPerNet to suppress noise interference.Training on the open-source DeepGlobe and CHN6-CUG datasets and introducing the DiceLoss on the basis of CrossEntropyLoss solves the problem of positive and negative sample imbalance.Experimental results show that the new network model can achieve the following performance on the DeepGlobe dataset:79.40%for precision(Pre),97.93% for accuracy(Acc),69.28% for intersection over union(IoU),and 83.56% for mean intersection over union(MIoU).On the CHN6-CUG dataset,the model achieves the respective values of 78.17%for Pre,97.63%for Acc,65.4% for IoU,and 81.46% for MIoU.Compared with other network models,the fused ConvNeXt-UPerNet model can extract road information better when faced with the influence of noise contained in high-resolution remote sensing images.It also achieves multiscale image feature information with unified perception,ultimately improving the generalization ability of deep learning technology in extracting complex roads from high-resolution remote sensing images.

Toxicity Evaluation of Different Exposure Scenarios of Road Dust Using Daphnia magna and Artemia salina as Aquatic Organisms, and Prosopis cineraria and Vachellia tortilis as Native Plant Species

Particulate matter (PM10) deposited as road dust is considered an important source of contamination from atmosphere. However, there are limited studies on the toxicity of road dust as such on different organisms. This study evaluates the toxicity of road dust using different extraction scenarios on Daphnia magna and Artemia salina as aquatic organisms and also on Prosopis cineraria and Vachellia tortilis as local plant species. Chemical analysis of different extracts shows considerable amount of trace metals, however the trace metals in the dust extract associated with suspended sediment were not absorbed by the receptors. On the other hand, the concentration of trace metals in the artificial mixture was found bioavailable and absorbed causing a high percentage of mortality. In the plant assay, significant difference was obtained in the germination percentage between the control and three different extraction exposures in both plant species. The mean root length of P. cineraria and V. tortilis were higher in 20% and 50% extracts than the control probably due to the availability of nutrients from the dust extract. Interestingly however, the seedling vigor index was the opposite with higher index in the control and lower in dust extracts that contain heavy metals.

Unstructured Road Extraction in UAV Images based on Lightweight Model

There is no unified planning standard for unstructured roads,and the morphological structures of these roads are complex and varied.It is important to maintain a balance between accuracy and speed for unstructured road extraction models.Unstructured road extraction algorithms based on deep learning have problems such as high model complexity,high computational cost,and the inability to adapt to current edge computing devices.Therefore,it is best to use lightweight network models.Considering the need for lightweight models and the characteristics of unstructured roads with different pattern shapes,such as blocks and strips,a TMB(Triple Multi-Block)feature extraction module is proposed,and the overall structure of the TMBNet network is described.The TMB module was compared with SS-nbt,Non-bottleneck-1D,and other modules via experiments.The feasibility and effectiveness of the TMB module design were proven through experiments and visualizations.The comparison experiment,using multiple convolution kernel categories,proved that the TMB module can improve the segmentation accuracy of the network.The comparison with different semantic segmentation networks demonstrates that the TMBNet network has advantages in terms of unstructured road extraction.

Numerical Prediction of Ride Comfort of Tracked Vehicle Equipped with Novel Flexible Road Wheels

Enhancing ride comfort has always constituted a crucial focus in the design and research of modern tracked vehicles,heavily reliant on the driving system's performance.While the road wheel is a key component of the driving system,traditional road wheels predominantly adopt a solid structure,exhibiting subpar adhesion performance and damping effects,thereby falling short of meeting the demands for high-speed,stable,and long-distance driving in tracked vehicles.Addressing this issue,this paper proposes a novel type of flexible road wheel(FRW)characterized by a catenary construction.The study investigates the ride comfort of tracked vehicles equipped with flexible road wheels by integrating finite element and vehicle dynamic.First,three-dimensional(3D)finite element(FE)models of both flexible and rigid road wheels are established,considering material and contact nonlinearities.These models are validated through a wheel radial loading test.Based on the validated FE model,the paper uncovers the relationship between load and radial deformation of the road wheel,forming the basis for a nonlinear mathematical model.Subsequently,a half-car model of a tracked vehicle with seven degrees of freedom is established using Newton's second law.A random road model,considering the track effect and employing white noise,is constructed.The study concludes by examining the ride comfort of tracked vehicles equipped with flexible and rigid road wheels under various speeds and road grades.The results demonstrate that,in comparison to the rigid road wheel(RRW),the flexible road wheel enhances the ride comfort of tracked vehicles on randomly uneven roads.This research provides a theoretical foundation for the implementation of flexible road wheels in tracked vehicles.