铸牢中华民族共同体的形意通路径

中华民族是一个具有强大凝聚力和生命力的共同体,拥有极为突出的形意交融精神,具体表现为求真务实、自强不息、革故鼎新、厚德载物等。形意交融精神是物感与心智联通的精神,既涉及万物存有、人心所思,也涉及心物合一,是形意互动、日日新的开放过程。铸牢中华民族共同体意识需要紧密结合中华优秀传统文化中形意通的思想精华,格物致知,润物无声,真正做到有形有感有效。

论意通公司财务稽查工作体系的建立与实施

为有效探索企业内部的控制管理方法,加强内部管理和监控,建立有效的监督制约机制,有效防范财务风险,促进公司可持续发展,意通公司依据《川庆钻探公司财务稽查管理办法》《长庆钻井总公司财务稽查管理办法》的要求,积极筹建财务稽查体系,全面开展内部财务稽核工作。本文主要从意通公司财务稽查体系的建立、财务稽核工作的实施方面进行了较为全面的分析,并就财务稽查工作存在的问题提出了应对措施,对公司财务稽查工作水平的提升进行了有力探索。

意解万古丹经王,开启新道学篇章——兼论如何从比较哲学视角推动道家哲学研究

《周易参同契》作为“万古丹经王”,融摄“道”与“术”,对于道家道教乃至中国哲学意义重大,虽前人研究成果累累可观,然依旧存在诸多问题。面对这一困境,温海明《新古本周易参同契明意》从比较哲学角度建构新道学,提出以“通神之意”为核心的意丹学,对《周易参同契》进行版本再造和现代哲学诠释,深化了胡孚琛提出的新道学理论体系。

试析中国传统建筑室内环境中“通”的艺术

中国传统建筑所采用的柱网框架结构形式,使室内空间环境艺术具有了内外通透和内部通敞,声、光、色、味、意五官与心灵相融通等一系列"通"的艺术特色,这一特色即使在现代建筑结构体系的条件下仍极富生命力和研究意义。

Attention Mechanism-Based Method for Intrusion Target Recognition in Railway

The detection of foreign object intrusion is crucial for ensuring the safety of railway operations.To address challenges such as low efficiency,suboptimal detection accuracy,and slow detection speed inherent in conventional comprehensive video monitoring systems for railways,a railway foreign object intrusion recognition and detection system is conceived and implemented using edge computing and deep learning technologies.In a bid to raise detection accuracy,the convolutional block attention module(CBAM),including spatial and channel attention modules,is seamlessly integrated into the YOLOv5 model,giving rise to the CBAM-YOLOv5 model.Furthermore,the distance intersection-over-union_non-maximum suppression(DIo U_NMS)algorithm is employed in lieu of the weighted nonmaximum suppression algorithm,resulting in improved detection performance for intrusive targets.To accelerate detection speed,the model undergoes pruning based on the batch normalization(BN)layer,and Tensor RT inference acceleration techniques are employed,culminating in the successful deployment of the algorithm on edge devices.The CBAM-YOLOv5 model exhibits a notable 2.1%enhancement in detection accuracy when evaluated on a selfconstructed railway dataset,achieving 95.0%for mean average precision(m AP).Furthermore,the inference speed on edge devices attains a commendable 15 frame/s.

Automatic road extraction framework based on codec network

Road extraction based on deep learning is one of hot spots of semantic segmentation in the past decade.In this work,we proposed a framework based on codec network for automatic road extraction from remote sensing images.Firstly,a pre-trained ResNet34 was migrated to U-Net and its encoding structure was replaced to deepen the number of network layers,which reduces the error rate of road segmentation and the loss of details.Secondly,dilated convolution was used to connect the encoder and the decoder of network to expand the receptive field and retain more low-dimensional information of the image.Afterwards,the channel attention mechanism was used to select the information of the feature image obtained by up-sampling of the encoder,the weights of target features were optimized to enhance the features of target region and suppress the features of background and noise regions,and thus the feature extraction effect of the remote sensing image with complex background was optimized.Finally,an adaptive sigmoid loss function was proposed,which optimizes the imbalance between the road and the background,and makes the model reach the optimal solution.Experimental results show that compared with several semantic segmentation networks,the proposed method can greatly reduce the error rate of road segmentation and effectively improve the accuracy of road extraction from remote sensing images.

Infrasound Event Classification Fusion Model Based on Multiscale SE-CNN and BiLSTM

The classification of infrasound events has considerable importance in improving the capability to identify the types of natural disasters.The traditional infrasound classification mainly relies on machine learning algorithms after artificial feature extraction.However,guaranteeing the effectiveness of the extracted features is difficult.The current trend focuses on using a convolution neural network to automatically extract features for classification.This method can be used to extract signal spatial features automatically through a convolution kernel;however,infrasound signals contain not only spatial information but also temporal information when used as a time series.These extracted temporal features are also crucial.If only a convolution neural network is used,then the time dependence of the infrasound sequence will be missed.Using long short-term memory networks can compensate for the missing time-series features but induces spatial feature information loss of the infrasound signal.A multiscale squeeze excitation–convolution neural network–bidirectional long short-term memory network infrasound event classification fusion model is proposed in this study to address these problems.This model automatically extracted temporal and spatial features,adaptively selected features,and also realized the fusion of the two types of features.Experimental results showed that the classification accuracy of the model was more than 98%,thus verifying the effectiveness and superiority of the proposed model.

试论先秦儒家道德教育特点、方法及其现实价值

先秦儒家道德教育从教育与自我教育两个方面突出强调一个“情”字,提倡道德教育要关心人的情感,要求道德主体从自己的内心体验,过渡到体贴对方的心情;强调道德主体“自德”精神和行为,对今天学校道德教育仍具有宝贵的借鉴意义。

Characterization and thrust measurements from electrolytic decomposition of ammonium dinitramide(ADN)based liquid monopropellant FLP-103 in MEMS thrusters

Although ammonium dinitramide(ADN)has been targeted as a potential green monopropellant in future space vehicles,its application potential in Micro-electrical–Mechanical System(MEMS)thrusters or microthrusters has been seldom reported in open literature.In this paper,electrolytic decomposition of Ammonium Dinitramide(ADN)-based liquid monopropellant FLP-103 was carried out in an open chamber and MEMS thrusters were fabricated from poly-dimethylsiloxane(PDMS)to characterize the power consumption.Two thrust measurement methods were employed to investigate the electrolytic decomposition of FLP-103 in MEMS microthrusters.The results show that the monopropellant can be successfully ignited at room temperature through 80 V,0.1 A(8 W)using copper wire as electrodes.In the current thruster design,low thrust was obtained at FLP-103 flowrate of 40μl·min^(-1)but it generated the highest specific impulse,Isp,among all the flowrates tested.The experiments successfully demonstrated the potential application of electrolytic decomposition of FLP-103 in MEMS thrusters.

Computer simulation of evacuation in underground coal mines

In order to study the evacuation behavior of miners during accidents,we analyzed the rational layout of a safe chamber,and improved evacuation efficiency.A visual model of evacuation was developed and used to simulate the evacuation process of mines,given their special underground environments.In our simulation,the working faces of a coal mine and nearby tunnels were divided into 0.5 m×0.5 m grids to reflect the location of occupants and obstacles.Based on a "flow potential of the occupant",we determined the direction of movement and routes of occupants.In the model,evacuation speed changed as a function of crowd density,with an average speed of 1.30 m/s.The model also takes into account detection time of the disaster and the personnel response time.Evacuation time,exit flow rate and evacuation path were obtained by simulation.The results indicate that using simulation technology can present a more visual evacuation process and show the behavior of occupants.Our establishment of a mine safety evacuation system has merit as reference value.

Hazard identification and control in the pre-blasting process

Major mineral hazard identifications should consider perilous types of fatal accidents in collieries from its definition, and then set existent hazardous objects and their relevant amount as referenced factors. Eliminating hazards in systems and decreasing risks are their essential purposes with help of hazard identification, risk evaluation and management. By pre-control on major hazards, fatal accidents are avoided, stuffs＇ safety and healthy are protected, levels of safe management are enhanced, and perpetual systems are built up finally. However, choosing the proper identification and evaluation is a problem all along. Based on specific condition in Jiangou Coal Mine, method of LEC was applied for hazard identification and evaluation in the pre-blasting process within horizontal section top-coal mechanized caving of steep seams. And control measures to of each hazard were put forward. The identification method combining qualitative and quantitative analysis. So, it is practical and operable for the method to develop the given scientific research and has a distinctive impact on high efficiency and safety products for pre-blasting in horizontal section top-coal mechanized caving of steep seams.

《墨经》的语义学

《墨经》是先秦逻辑的集大成著作。然而,《墨经,的逻辑不是现代意义上的形式逻辑,而是一种语义学或语言逻辑。关于这一命题的前半部分,已有许多文章从不同角度进行过论述,这里不再赘述。本文拟从四个方面发掘《墨经》中丰富的语义学思想。

Transport Risk Assessment for the Environment

Transport risk assessment for the environment has two important aspects--problem solving model and solution veracity. Problem solving model is larger understanding of tasks interconnection, which represents in itself partial solution of general risk assessment. Veracity of solution means how the results are consistent with the reality. By researching of both aspects, it rises many unanswered questions. It is concerned about verification and validation of risk assessment results. By risk assessment for the environment it is possible to meet wide variety of more or less good soluble problems. It exists simple problems based on risk assessment of common traffic accidents connected with service charge outflow. On the other site, it exists complex problems of risk assessment connected with dangerous goods transport by traffic or pipelines. By simple problems solving there are not many questions about risk assessment veracity. It is possible to determine traffic accidents frequencies and service charge outflows consequences on the basis of examined events in transportation with great veracity. By complex problems the situation is quite different. The frequencies of large accidents are very low but the consequences for the environment may be large. Both are encumbered by large level of uncertainty. That is why the question is rising. To what degree, it is in these cases correct to make decision based on risk assessment.

Clinicopathological significance and relations of Caspase-3 expression, cell proliferation and apoptosis in gastric cancer and the precancerous lesions

Objective： We investigated the relationship between the expression of Caspase-3, cell proliferation and apoptosis in gastric cancer and their precancerous lesions, to explore the tumorigenesis of the stomach mucosa. Methods： Caspase- 3 expression in 13 normal gastric mucosa, 6 chronic atrophic gastritis （CAG）, 31 intestinal metaplasia （IM）, 114 dysplasia （DYS） and 20 gastric carcinomas were investigated immunohistochemically. Cell proliferation was evaluated with anti-Ki-67 immunostaining and apoptosis was evaluated using DNA fragmentation in situ by TdT-mediated dUTP biotin nick end labeling （TUNEL） method. Results： Caspase-3 mild-moderately positive expression was observed in most of normal superficial epithelia, its positively polar distribution in normal mucosa, CAG, IM, DYS and gastric carcinomas changed as seen in TU- NEL, and so did the positive rate. Caspase-3 protein expression showed significantly positive correlation with the number of apoptotic cells labeled with TUNEL （correlation coefficient r = 0,94; P 〈 0101）. Ki-67 expression showed a negative but not significant correlation trend with Caspase-3 （correlation coefficient r = -0.23; P 〉 0.05）. Conclusion： Caspase-3 protein expression was up-regulated from CAG to IM and mild-moderate atypical dysplasia, but down-regulated in severe dysplasia and gastric carcinoma, indicating that inactivity or reduced expression of Caspase-3 is closely correlated with carcinogenesis of the stomach mucosa.

提高文言文自学能力的三种重要训练方式

文言文教学要以培养学生的自主学习能力为立足点,而提高文言文自学能力,有三种重要训练方式,一是诵读训练,二是通意训练,三是感情明理训练。这些方法注重调动学生主体的学习兴趣,始终突出学生的学习主体地位,引导学生不断提升自学文言文的能力,实现文言文教学在文字、文章、文化三方面目标的落实。

Evaluation of Road Accidents in Pristina in the Period 2009-2012

Approximately 15,000-17,000 thousand people die worldwide in traffic accidents as a consequence of all types of injuries. This study has a descriptive nature. It is based on data obtained from archives including the treatment database of the Emergency Center. The period January 2009 to December 2012 has been considered for this research. The aim of this study is to assess the prevalence of fatal road traffic accidents in Pristine, Kosovo, and describe their determinants. The number of injured in traffic accidents who have sought emergency medical assistance in the Emergency Center from January 2009 to December 2012 is increasing significantly. It is concluded that except reasons mentioned above and among others, there also are the following factors： enormous increase of number of persons equipped with driving license, driving speeds above limits which are considered to be the primary cause of the road traffic accidents. These findings can serve as a basis for health care professionals and policymakers to create preventive measures for traffic accidents.

The Spiritual Experience as Scientific Experiment： How Science Can Meet Religion

My paper aims to discuss the approach between the mystic＇s experience and the experiment of the scientist. The mystic experience is closer to what is proper to the scientific experiment： both are, finally, ways of tryout. This also means that both are ways to come closer to a deeper understanding of Reality. Raising the problem of the relation between religion and science requires a series of precautions, especially related to the underlying meanings of what we call ＂religion＂ or ＂science＂. What is meant by religion and religious？ The terms are too vague, and on the other hand, the differences among religions are so important that it is almost impossible to use the term religion without an abstract meaning. Even the overall invocation of Christianity is improper, as the report of Eastern Christianity to the Western, one reveals different perspectives on some issues that determine the relationship with science. There must be also taken into account the history of the religious doctrines after Enlightenment, as they underwent secular influences that sometimes left tracks in their discourse, the most aggressive factor being the ideological one. And when speaking about the possibility of religion getting open to science it is necessary to specify what type of religious discourse is concerned. Since a generic report of religion to science is slippery, we should rather count on the identification of those types of religious experience and of those religious horizons that can offer a real openness to science. These statements are also true for science： for such a dialogue, there is need of identifying those aspects of science that are not contaminated by ideology or by assumptions alien to its experimental nature.

Traffic danger detection by visual attention model of sparse sampling

A method to detect traffic dangers based on visual attention model of sparse sampling was proposed. The hemispherical sparse sampling model was used to decrease the amount of calculation which increases the detection speed. Bayesian probability model and Gaussian kernel function were applied to calculate the saliency of traffic videos. The method of multiscale saliency was used and the final saliency was the average of all scales, which increased the detection rates extraordinarily. The detection results of several typical traffic dangers show that the proposed method has higher detection rates and speed, which meets the requirement of real-time detection of traffic dangers.

Exposure Work Commuting： Case Study among Commuting Accidents in Klang Valley, Malaysia

Traffic accidents caused the most accidental deaths at work in Malaysia. The SOCSO （Social Security Organization） reported that the number of deaths due to commuting accidents was 760, nearly two times more than deaths caused by accidents that happened at the workplace （471 deaths）. The aim of this study is to investigate the relationship of socio-demographic background and the risk exposure of the drivers during their work commuting trips. The study was based on compensation claims to SOCSO where data were extracted from ＂Form 21＂ provided by SOCSO. A total of 377 respondents were selected through systematic random sampling method from a list of SOCSO claimants. It was found that majority of the traffic accidents （83%） involved males and most of them （92.2%） were on motorcycles. Male drivers have an average driving experience of 10.7 years and 8.6 years for females. The estimation of the travelled distance for the sample from home to the workplace is 0.65-131 km. Mean accident occurrence time was 23 rain whilst mean distance was 11.6 km. The multiple regression analysis showed that the accident distance was affected by the age of driver, actual travel distance, travel objective and speed.

A Feasibility Study for New Transport Connections between Italy and Algeria

The present study is part of the Executive Scientific Project 2 in the ItalMed Project which aims to elaborate a feasibility study for new transport connections between Italy and Algeria. The main objectives of the study are to increase the degree of economic integration between the two countries and improve commercial exchanges and direct investments in Algeria by Italian private companies. Moreover, the study tries to promote Italy＇s role as logistic platform for Mediterranean Countries along the east-west and north-south corridors and to improve the capacity of Italian regions to manage international cooperation programs on transport and logistics, finally, to support regional entrepreneurship in the foreign services sector.