Horizontal Comparison Research Articles

Numerical Investigations on Natural Ventilation in Atria of China's Southern Yangtze Vernacular Dwellings

The Southern Yangtze Dwellings in South China, have cultivated unique spatial typologies that utilize atrium for natural ventilation in the long-term adaptation to the complex climate of hot summer and cold winter (HSCW), which is of great value to be identified and verified. Therefore, this study presents numerical investigation of natural ventilation in atria of Southern Yangtze Dwellings using a validated Computational Fluid Dynamic (CFD) model. The Reynolds Averaged Navier-Stokes (RANS) modeling approach with the RNG k-ε turbulence model is used for the numerical simulation performed in OpenFOAM. Three architecturally typical forms, namely, the semi-encircled atrium, the centralized atrium and the symmetric atrium are generated by means of drone photography, online modeling and statistical data analysis. A series of CFD simulations as well as horizontal comparison and diachronic analysis of these geometric models are conducted to determine the ventilation mechanism, wind structure and thermal environment in and around the buildings. The findings of the current research give quantitative evidence of the effectiveness of the natural ventilation strategies of atrium under circadian and seasonal situations, and moreover contribute to a comprehensive knowledge for designing modern climate responsive buildings with optimum ventilation function.

The Overview of Elliptic Curve Cryptography (ECC)

Elliptic Curve Cryptography (ECC) is one of the strongest and most efficient cryptographic techniques in modern cryptography. This paper gives the following introduction: The introduction of cryptography’s development; the introduction of the elliptic curve; the principle of ECC; the horizontal comparison between ECC and other types of cryptography; the modern breakthrough of ECC; the applications of ECC; by using a method of literature review. The study’s findings indicate that this factor is responsible for the rapid historical development of cryptography, from the classical password to the leap to modern cryptography. Elliptic Curve Cryptography (ECC), as one of the most important modern cryptographies, is stronger than most other cryptographies both in terms of security and strength, because it uses an elliptic curve to construct and, at the same time, uses mathematical operations to encrypt and generate keys. At the same time, elliptic curve cryptography can continue to improve the speed and intensity with the improvement of accelerators, scalar multiplication, and the speed of order operation. The applications of the elliptic curve in ECDSA and SM2 are very efficient, which further illustrates the importance of elliptic curve cryptography.

Water Chemical Characteristics and Safety Assessment of Irrigation Water in the Northern Part of Hulunbeier City, Grassland Area in Eastern China

Hulun Buir Grassland is a world-famous natural pasture. The Chenbalhu Banner coalfield, the hinterland of the grassland, is located on the west slope of the Great Khingan Mountains and on the north bank of the Hailar River in China. The proven geological reserves of coal are 17 billion tons. Hulun Buir Grassland plays a role in the ecological barrier, regional coal industry, power transmission from west to east and power transmission from north to south. The proportion of local groundwater in irrigation, domestic and industrial production water sources is about 86%. The large-scale exploitation of coal resources and the continuous emergence of large unit and coal-fired power plants have consumed a large amount of local water resources, resulting in the decrease of the local groundwater level and changing the natural flow field of groundwater. This paper studies the background hydrochemical values and evaluates the irrigatibility of the whole Chenbaerhu Banner coalfield, and studies the impact of coal industry chains such as mining areas and coal chemical plants on the hydrochemistry characteristics of groundwater. The above two studies provide important guiding values for guiding local economic structure planning, groundwater resources exploitation and ecological governance. The study found that Na+ and HCO3− in the groundwater in the study area occupy a dominant position. Referring to the comparison of the lowest values of three types of water standards in the Quality Standards for Groundwater (GB/T14848-2017), the amount of NH4+, Na+ and NO2− exceeding the standard is close to more than 30%. The main chemical types of river water in the study area are HCO3− Na and HCO3− Ca·Na, the main chemical types of surface water are HCO3− Na and HCO3− Na·Ca, and the main chemical type of confined water is HCO3−Na. The formation of hydrochemical types is mainly affected by the dissolution, filtration and evaporation of rocks, specifically the dissolution and filtration of sodium and calcium salts. The chemical correlation analysis of groundwater shows that there are abnormal values at many points in the study area. Further combining with the horizontal comparison of surface human activities in the study area, it shows that the influence scope of coal mine production and coal chemical plants on groundwater is extremely limited. The local groundwater is mainly polluted by a large quantity of local cattle and sheep manure, industrial and domestic sewage pollution and farmland fertilizer.

Research on the Transformation of Contemporary Chinese Science Fiction

Research on the Transformation of Contemporary Chinese Science Fiction

FinTech and Regulatory Sandbox – new challenges for the financial market. The case of the Slovak Republic

The article deals with the issue of emerging regulatory sandboxes and FinTech in the financial markets. The choice of topic is given by i) the topicality of the selected issues and dynamic changes in the financial markets, ii) the fact that there is no flat-rate framework for operating the regulatory sandbox and innovation hub and the EU's efforts to establish a framework for the operation of the innovation hub and the regulatory sandbox build on a comparative analysis of the steps already taken in Member States' legislation. Based on the analysis of previous scientific studies focused on the issue of regulatory sandboxes, the article identifies summarizing criteria on the basis of which it approaches the analysis of the operating of the regulatory sandbox in the conditions of the Slovak Republic. The article thus reflects on the need for analysis of national approaches to the establishment of the regulatory sandbox and complements the range of scientific studies with the lack of analysis of the regulatory sandbox in the conditions of the Slovak Republic. With this approach, the article supports the possibility of using the method of horizontal comparison of national regulations of individual states in setting a transnational approach to FinTech regulations, as well as contributes to further scientific research at the international level.

International Manufacturer’s Online Marketplace Choice Considering Behavior-Based Pricing

Considering the fact that the phenomenon of consumer behavior-based pricing (BBP) is becoming more prominent in global online sales, an international online channel decision-making model composed of an e-commerce firm and a manufacturer is established. The e-commerce firm is the leader, while the manufacturer is the follower. This study analyzes the decision-making problems in two cases. The first case happens when an international manufacturer establishes its own online-selling website. The second case uses the e-commerce firm’s online-selling platform. We make a horizontal and vertical comparison of equilibrium decision-making for these two participants, respectively. We examine how the manufacturer makes choices and how the e-commerce firm makes decisions about the referral fee rate and franchise fee under the BBP in the international environment. Whether the two players make different decisions between new customers and regular customers is verified. By constructing mathematical models under different channel structures and solving them, and finally, by comparing the equilibrium decisions under different structures and numerical analysis with the help of mathematical software, we have obtained some interesting conclusions. It is found that if the manufacturer establishes its own online-selling website, the e-commerce firm will provide new customers with lower prices than the price for regular customers. At this point, as direct competition forms between the e-commerce platform and the manufacturer, this allows the platform to offer lower prices to new customers in order to attract more new customers to shop on the platform. The manufacturer would differentiate new customers and regular customers according to the unit selling cost of its own website and consumers’ shopping costs. If the manufacturer uses the online-selling platform of the e-commerce firm, the manufacturer will provide a lower price to new customers; however, the e-commerce firm’s attitude to new and regular customers is affected by the referral fee rate. In addition, when the referral fee rate is reduced and the franchise fee is moderated, or the referral fee rate is moderate, and the franchise fee is reduced, the e-commerce firm will decide to attract manufacturers to sell products on its online platform. The manufacturer will give up establishing its own online-selling website and prefer to sell on the e-commerce firm’s online platform.

Study on the Communication Effectiveness of the China’s Official Publicity

Since the global epidemic of COVID-19, China has faced a more complex and harsh international public opinion environment. Under this circumstance, China has actively strengthened the construction of national image, promoted the national mainstream media institutions represented by CGTN to settle in the international social networking platform, and extensively carried out official publicity activities including national image building. However, there is still a huge gap between China and other countries, such as Britain, the United States and Japan, in terms of communication power, influence and persuasion, and the communication effectiveness is far from what is expected. This paper takes the CGTN channel as the representative of China's official publicity media as the research object, and uses text analysis and content analysis to summarize and analyze CGTN channel's publicity purpose, reading and listening key data, etc. By horizontal comparison with the current mainstream channels in Britain and the United States, this paper sums up the unfavorable situation and main reasons CGTN channels face in terms of communication effectiveness and puts forward several suggestions on how to improve their communication effectiveness.

Dynamic spillover capacity of R&D and digital investments in China's manufacturing industry under long-term technological progress based on the industry chain perspective

During the new era of digital-technology economics, R&D and digital investments have emerged as critical factors influencing technological change in the long term. At the same time, technological progress in industries is the fundamental cause of the R&D and digital investments spillover between industries. In order to study the dynamic spillover capacity evolutionary process generated by R&D and digital investments caused by the long-term technological change in China's manufacturing industry, this paper firstly integrates R&D and digital investments as the critical influencing factors affecting technological progress. It establishes a dynamic input-output model including endogenous technological progress, which is simulated by historical data from 2000 to 2014 to obtain the input-output coefficient matrix from 2015 to 2050. On this basis, this paper makes a rare attempt to focus the inter-industry spillover weights on the industry chain perspective to revisit and simulate the dynamic changes of inter-industry R&D and digital investments spillover capacity under the influence of long-term technological progress. As shown in the simulation results, there are significant differences in inter-industry R&D and digital investments spillover capacities among 18 manufacturing industries in China in both industry and time dimensions. The results of this study are presented in the following sections: (1) A horizontal comparison of the spillover capacity of R&D and digital investments in manufacturing industries in the same period from the industry dimension shows that the spillover capacity of R&D and digital investments between industries is dynamic because the development strategies and technological structures of industries may change over time. Hence, the position of each industry in the industry chain is not constant, and the R&D and digital investments spillover capacity between industries are also in a dynamic process. The manner and ability of an industry to generate R&D and digital investments spillover to its upstream and downstream industries may differ depending on its production location in the chain. Generally, for most upstream and near-upstream industries in China's manufacturing industry chain, the spillover capacity of R&D and digital investments of an industry to its downstream industries are greater than that to its upstream industries, and vice versa. Therefore, in order to maximize the technology spillover capacity, the corresponding technology guidance policy should be adjusted by the industry's technological progress characteristics and changes in the production location of the industry chain. (2) When comparing the spillover capacity of R&D and digital investments of each manufacturing industry longitudinally from the time dimension, the demand-pull effect of technological progress caused by R&D and digital investments of industries for their downstream industries is not as profound as the technology-push effect for their upstream industries. Hence, the fluctuations of R&D and digital investments spillover capacity generated by industries located in the upstream, near-upstream of China's manufacturing industry chain are greater than those generated by downstream, near-downstream industries. Therefore, it can be inspected that industries close to the upstream of the industry chain are more efficient in driving economic growth with their inputs in general-purpose technologies.

The prediction of financial market based on BP neural network is used to maximize the income of investment

In the financial market, investors often buy and sell volatile assets to maximize returns. We can use statistical and mathematical tools, mathematical models and computer technology to trade and get excess return ratio. Firstly, we established a price prediction model based on BP neural network, trained the network through the trading prices of bitcoin and gold before 2016, and then predicted the price of the next day every day from September 11, 2016 to September 10, 2021. Through the comparison with the real value and the horizontal comparison of other models, the prediction effect of this model is good. Then, the programming model is used to maximize the benefits in the next day as the objective function, and the constraints are that the amount after the transaction cannot be negative and there is no gold trading in part of the time. Considering the risk in the final transaction model, the planning model is established to find the optimal investment scheme at this time. Finally, the daily investment plan and the final total value are $3886.8.

Construction of a Random Matrix Model of Curriculum System Based on Digital Technology in the Context of Smart Education

This paper adopts the method of digital technology fused with a random matrix to conduct in-depth research and analysis on the curriculum system under the context of smart education and designs a corresponding model for practical use. Firstly, we analyze the status of digital learning research, take the digital teaching model based on independent inquiry as to the basis of teaching design, and carry out digital-based teaching experiments under the premise of fully examining the actual teaching conditions. The digital learning platform is designed to meet the teaching model, platform design, platform application, and implementation of the school, and the digital learning platform is designed and developed through PHP technology. Then, the matrix filling algorithm is used to fill in some of the missing data in the observation matrix to obtain the complete data matrix, and the Hankel matrix inverse transformation is used to finally obtain the reconstructed original signal, thereby forming the ability of innovative works. It is an important aspect of cultivating students’ innovative spirit and practical ability in the development of educational informatization. Ultimately, students use the platform to try out and be able to learn the knowledge. The experimental class and the control class experimented with a quasi-experimental research method, the experimental class used a digital teaching mode, and the control class used a traditional IT teaching mode. The digital learning ability of students was measured by a digital learning ability measurement scale before and after the experiment, and then the data before and after the experiment were analyzed by horizontal and vertical comparison to verify whether the digital teaching model can effectively cultivate junior high school students compared with the traditional teaching model. The digital learning ability of junior high school students was verified.

Are UK Rivers Getting Saltier and More Alkaline?

River salinisation and alkalinisation have become one of the major environmental problems threatening the safety of global freshwater resources. With the accelerated climate change and aggravating anthropogenic influences, it is important to identify the trends and causes of river salinisation and alkalinisation so that better mitigation measures could be taken. This study has focused on the UK rivers because there has been insufficient investigation on this topic. To understand the salinisation and alkalinisation trends and causes of rivers in the UK over the past 20 years from a vertical (analysis of each river) and horizontal (comparison of all rivers) perspective, this study uses the Theil-Sen regression and Mann-Kendall test to deal with the trends of conductivity (proxy on salinisation) and pH (proxy on alkalinisation), obtains outliers of conductivity and pH by boxplot, and calculates the Pearson’s and the Kendall’s Tau correlation coefficients (α = 0.05) between the water quality data and the potential factors (potential road salting, normalized difference vegetation index (NDVI), river discharge, agricultural and urban lands). The results show that the UK rivers are becoming more alkaline with a median pH increase of 0.05 to 0.40, but less salty with a median conductivity decrease of 0.06 to 0.11 mS/cm. And the changes in conductivity and pH have seasonality and regionality, which shows that there are usually greater changes in trends and medians of them in winter or through reaches with more anthropogenic disturbance. Furthermore, from a vertical perspective, the conductivity of more than 50% of rivers in this study is negatively correlated with NDVI and river discharge, and positively correlated with potential road salting, and the pH of that is positively correlated with agricultural lands. While from a horizontal perspective, NDVI and agricultural lands are positively correlated with pH, and potential road salting and urban lands are positively correlated with conductivity. Therefore, road salting, urbanisation, agricultural lands, river discharge and vegetation cover can be considered to affect river salinisation and alkalinisation in the UK.

Feasibility and optimization structure analysis on heat pump assisted desiccant cooling systems under dynamic conditions

• A horizontal comparison is conducted between the different forms of HPDC system. • The accuracy of the desiccant wheel model is verified by the analytic solution. • The indoor environment control issue of HPDC systems is clarified. • An optimal HPDC system enhances the temperature and humidity control performance. • The sensible heat exchanger is not suitable for HPDC systems. Heat-pump assisted hybrid desiccant cooling (HPDC) systems are generally placed with the evaporators located downstream of the desiccant wheel (HPDC-D) to deal with the adsorption of heat and control indoor temperature; positioning the evaporator upstream of the desiccant wheel (HPDC-U) can improve dehumidification performance. In this study, HPDC systems are established based on an analytic solution-validated desiccant wheel model, and the effect of the system configuration on the indoor temperature and humidity control is quantitatively analyzed in dynamic conditions. The proposed dimensionless parameters clarify the thermal performance of the dehumidification and regeneration processes. The simulation results propose an optimized HPDC-SE system with dual separate evaporators, and its energy consumption is compared. Finally, the feasibility of combining the HPDC system with a heat recovery plate is discussed. Due to the thermal imbalance between the condensing heat required for regeneration and the supply air cooling capacity required for the indoor sensible load, the HPDC-U system could not continuously control the indoor temperature below the control range in dynamic conditions, and the HPDC-D system could not continuously control the indoor humidity. The analysis of the dimensionless parameters shows that the thermal economy of the desiccant wheel decreases with the increase in the process inlet air humidity. The proposed HPDC-SE system can improve the indoor environment control effect and reduce the electricity consumption by 5%, 4.6%, and 11.7% compared to the HPDC-U system, respectively. The heat recovery plate has a low overall utilization and heat recovery rate for HPDC-U and HPDC-SE systems, and affects the indoor humidity control of the HPDC-D system. Therefore, the heat recovery plate is not suitable for HPDC systems.

Quantitative Investment Trading Model Based on Model Recognition Strategy with Deep Learning Method

With the acceleration of economic globalization, the frequent price fluctuations of gold and bitcoin and other currencies have attracted wide attention from the quantitative investment industry. For market traders, rational use of deep learning means to improve traditional investment trading strategies has become one of the main contents of current work. In this paper, the deep learning method is used to make a horizontal comparison of the benefit increase of the model recognition strategy with deep learning as the main means compared with the other two strategies, and a longitudinal comparison is made between the deep learning method and the traditional time series of fitting accuracy advantages. We grouped gold and bitcoin prices in the LSTM/GRU framework, trained the recursive dynamic neural network model on the daily data of each group, and used the dropout algorithm to reduce the overfitting effect of the model and retained 20% of the data for cross-checking. The results obtained by this method show that the benefit of the whole neural network model is more obvious when making decisions on the data of the day, and the fitting accuracy of the model is more than 73%, and the average absolute error is 14.040908, indicating a good fitting degree. Compared with model recognition strategies represented by LSTM/GRU, follow-the-winner and follow-the-loser have obvious disadvantages in terms of investment trading principle, and their returns are far lower than the $22,059.583248 obtained under the model recognition strategy. We compare the price trends of gold and bitcoin under ARIMA(2,1,1) and ARIMA(4,1,5) by comparing the LSTM/GRU method under the framework of model recognition with the time series method in model recognition and find that the mean square error is much greater than the fitting results of neural network. Therefore, it is concluded that the model recognition strategy integrating the deep learning model is the best fit and the best profit among the three conditions. Finally, we change the transaction cost of gold and bitcoin to 7% to simulate whether the transaction model in different countries is stable. The conclusion shows that when the transaction cost changes within 7%, the model still has high feasibility and stability and is relatively robust.

Vertical and Horizontal Comparison as well as Referential Perfection of the Cohesion Between Inspection and Supervision in China and South Korea Under the Background of Judicial Reform

As China revised the Criminal Procedure Law in 2018, new requirements were put forward for procuratorial organs in the investigation of duty crimes, that is, proper connection and mutual cooperation. However, the cases investigated by the newly established national highest supervisory agency, the supervisory committee, are transferred to the people’s procuratorates. Thus, when the handling methods of cases accepted by the people’s procuratorates are based on the inconsistency between the provisions of the Supervision Law and the Criminal Procedure Law, the supervisory agencies and procuratorial agencies are faced with the connection of litigation procedures. From a horizontal point of view, this paper compares the procedures of cohesion between inspection and supervision in China and South Korea. Meanwhile, it grasps the unclear jurisdiction and intervention in the current cohesion process vertically to discuss the necessity and adaptability of system design. It puts forward that the evidence chain connection, the system establishment of case handling communication and coordination, and the procuratorate’s early intervention and the supervisory agency’s opinion are the rational thinking to promote the procedure cohesion, which helps clarify the duty crime case handling and ensures the logical consistency of the inspection and supervision cohesion system.

Quality Evaluation of College Employment Based on Fuzzy Comprehensive Evaluation and Immersive Virtual Realization Technology

In order to further understand the employment forms, employment dynamics, and employment competitiveness of college students, this paper puts forward an employment quality evaluation model based on fuzzy comprehensive evaluation and immersive virtual realization technology in combination with the employment needs and environment of college students. Through horizontal and vertical comparison, field research, and employment quality evaluation model, this paper deeply understands the employment level of college students. From the perspective of the evaluation results of the employment-related work of the 2020 college students, the excellent employment rate has reached 86.25%. From the perspective of the employment quality trend of graduates, the graduate employment quality score is 77.08, and the undergraduate and junior college students’ scores are 74.97 and 77.66, respectively. From the perspective of the excellent employment rate, the employment quality evaluation model proposed in this paper is helpful for the employment of college students.

Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”

As a densely overlapping area under the national overarching development strategy, the Chengdu–Chongqing Economic Circle (CCEC) possesses a significant strategic location. However, compared with the other three growth pillars, the economic energy of the CCEC is still at a low level and in urgent need of improvement, which has to be implemented step by step in a systematic manner. At present, the focus remains on the two central cities—Chengdu and Chongqing. In contrast to the traditional evaluation of the regional economic energy level (EEL) solely from the “internal comprehensive development level”, this paper takes an angle on the interdependence and co-existence of “field source” and “field” to construct a preliminary index system which accounts for the “external economic connection level” as well. We then calibrate and validate the proposed model from both statistical and empirical angles. Finally, by optimizing the model, this paper evaluates the EELs of the Chengdu–Chongqing twin cities by fuzzy integrals of comprehensive weights. The results show the following: (1) From the perspective of overall indicators, the EELs of Chengdu and Chongqing have been rising from 2000 to 2018. In 2019, due to deglobalization and the Sino-US trade war, both cities appeared to reach an inflection point. (2) In terms of horizontal comparison, the EELs of the two cities basically coincide with each other, in line with the positioning of Chengdu–Chongqing as the two leading cities in Western China. However, their EELs have been lagging behind those of Beijing, indicating more room for further improvement. (3) From the point of view of sub-indexes, Chongqing has the advantage in the “external economic connection level” while Chengdu has the advantage in the “internal comprehensive development level”. The dislocation and complementarity of Chongqing and Chengdu has become an opportunity to break away from the stiff competition and jointly improve their EELs. (4) By comparing our evaluation with the traditional assessment, we note that the EEL tends to be misestimated if comprehensive factors regarding the “external economic connection level” are not taken into account.

Edwards dreams of Alexandria

Our paper explores the relationship between Edward Edwards’s Memoirs of Libraries: Includinga Handbook of Library Economy (1859) and 19th-century Britain’s Public Library Movement,especially the Public Library Acts of 1850 and 1855. Focusing on the instrumentalization oflibrary history for the movement’s agenda, we show how Edwards projects the roots of thismovement deep into antiquity and rhetorically creates a narrative of British deficiency setpurposefully at odds with British patriotic and colonial sentiments, deriving from this verticaland horizontal comparison his arguments and advice for the establishment of municipal publiclibraries.

The white noise standard sample method and application for subjective noise evaluation

The anchored scoring method is one of the widely used subjective sound evaluation methods. The comparability between subjective sound evaluation data obtained from different sample sets can be enhanced by selecting the standard sound sample as reference sample in subjective sound evaluation, thus facilitating the horizontal comparison between different evaluation results. However, the applicability of the standard sound sample method is poor in the experiments on evaluating some types of noise because the mechanisms of annoyance caused by different types of noise are discrepant. Therefore, the standard sound sample method for white noise that takes the existing pure tone as standard sample is proposed. Taking the evaluation results of the common anchored scoring method as benchmark, the experimental study of the performances of the standard sound sample method and the anchored scoring method was carried out according to the evaluation of the annoyance degrees of the two types of similar noise combination or dissimilar noise combination that have obviously different spectra and perceptual characteristics. The results show that the standard sound sample method for pure tone is suitable for noise with obvious tonal perception and that the standard sound sample method for white noise is suitable for broadband noise with weak tonal perception. Finally, the method of conversion between the annoyance evaluation results on different reference samples is studied to enhance the applicability of the standard sound sample method.

3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion

BackgroundCervical cancer cell detection is an essential means of cervical cancer screening. However, for thin-prep cytology test (TCT)-based images, the detection accuracies of traditional computer-aided detection algorithms are typically low due to the overlapping of cells with blurred cytoplasmic boundaries. Some typical deep learning-based detection methods, e.g., ResNets and Inception-V3, are not always efficient for cervical images due to the differences between cervical cancer cell images and natural images. As a result, these traditional networks are difficult to directly apply to the clinical practice of cervical cancer screening.MethodWe propose a cervical cancer cell detection network (3cDe-Net) based on an improved backbone network and multiscale feature fusion; the proposed network consists of the backbone network and a detection head. In the backbone network, a dilated convolution and a group convolution are introduced to improve the resolution and expression ability of the model. In the detection head, multiscale features are obtained based on a feature pyramid fusion network to ensure the accurate capture of small cells; then, based on the Faster region-based convolutional neural network (R-CNN), adaptive cervical cancer cell anchors are generated via unsupervised clustering. Furthermore, a new balanced L1-based loss function is defined, which reduces the unbalanced sample contribution loss.ResultBaselines including ResNet-50, ResNet-101, Inception-v3, ResNet-152 and the feature concatenation network are used on two different datasets (the Data-T and Herlev datasets), and the final quantitative results show the effectiveness of the proposed dilated convolution ResNet (DC-ResNet) backbone network. Furthermore, experiments conducted on both datasets show that the proposed 3cDe-Net, based on the optimal anchors, the defined new loss function, and DC-ResNet, outperforms existing methods and achieves a mean average precision (mAP) of 50.4%. By performing a horizontal comparison of the cells on an image, the category and location information of cancer cells can be obtained concurrently.ConclusionThe proposed 3cDe-Net can detect cancer cells and their locations on multicell pictures. The model directly processes and analyses samples at the picture level rather than at the cellular level, which is more efficient. In clinical settings, the mechanical workloads of doctors can be reduced, and their focus can be placed on higher-level review work.

RE ENLIGHTENMENT OF NEWS REALITY BASED ON NEWS EMOTION REGULATION FROM THE PERSPECTIVE OF ORGANIC THEORY: A CASE STUDY OF PUBLIC OPINION EVENTS OF WUHAN RED CROSS SOCIETY

BackgroundHow to realize the authenticity of news depends on the social environment and the authenticity of news practice. Only by understanding the public's acceptance psychology and the motivation and way of participating in news activities, can we better clarify these problems, including the organic nature of news reality and how to reach an organic agreement on news reality. This paper attempts to reveal how the theory of organic news truth is realized in the current Chinese news practice. The anxiety caused by news is analyzed.Research Objects and MethodsUsing the method of research integration, this paper analyzes the relevant literature of news reality. This paper selects 51 papers on news authenticity from CNKI, classifies them according to authentic discourse, and makes a horizontal comparison. The purpose of this study is to analyze the differences of research hypotheses. Then, we take the news practice of Wuhan Red Cross Society during the 2019 coronavirus disease as a sample for analysis, use the keyword “Wuhan Red Cross Society” to search the texts published on microblog, wechat and Baidu from January 20 to March 1, 2020, and track them to ensure their authenticity. Take 300 news, netizen comments and posts as the analysis object; Streamline it into 37 thematic activities; These original articles and their disseminators are listed in chronological order, and then cross compared; By analyzing the communication timing and information flow of different subjects and comparing the attribute framework between texts to describe the realization process of the concept of organic truth, we can find out what kind of news truth is described by different communicators. In order to investigate people's response to events, a coping style scale was developed. By consulting relevant literature, forming an open-ended questionnaire, sorting out the recovered effective scale, analyzing the data semantics, and compiling the initial measurement table of stress coping style on the basis of previous theoretical concepts; Secondly, according to the items of the scale, the preliminary test is carried out, and the data are analyzed by item analysis, exploratory factor analysis and reliability test; Finally, form a formal scale, test and restore the formal scale, and conduct confirmatory factor analysis and reliability and validity test.ResultsThe study found that many subjects had different concerns about Wuhan red cross news. Some concerns were not reported as news at first, but expressed in the form of questions or angry posts; When their concerns gain momentum on social media in the form of posts, they force the news media to report their concerns; In social media, news text becomes the medium of dialogue between different subjects. With the deepening of the dialogue, the real picture of the news becomes more and more vivid. The results showed that the improvement of comprehension information index was positively correlated with the regulation of depression. The more depressive symptoms, the less cognitive reappraisal, and the more cognitive immersion, expression inhibition and expression catharsis were used; When regulating positive emotions, adolescents had more depressive symptoms, less use of cognitive reappraisal, more use of cognitive immersion and expression inhibition, but there was no significant difference in the use of expression catharsis. The results show that emotional titer can affect the strategy use of adolescents with different depressive symptoms, and the impact of emotional titer on different strategies is different. The analysis found that compared with cognitive reappraisal and cognitive immersion, adolescents with different depressive symptoms were more likely to be affected by emotional titer.ConclusionThis paper holds that through technical authorization, multiple subjects have obtained the technical conditions to participate in news production. The news readers not only explore the truth and supplement the new psychological problems in the news, but also promote them to actively explore and supplement the truth in the news text, so as to keep the new narrative structure. This paper does not fully discuss the regulatory means of multi-agent news behavior. At the same time, the media should strengthen the positive cognitive education of the masses. Whether and how to let multiple subjects jointly discover and disseminate the truth, rather than fabricating and distorting the truth for their own special purposes, needs further discussion.AcknowledgementsPhase results of the key scientific research project in Education Department of Hunan Province in 2019 — Research on the dynamic evolution mechanism about the public opinion crisis of the education network and the government's response ability (No.: 19A302)