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Article ; Online: Intelligent Selection Algorithm of Optimal Logistics Distribution Path Based on Supply Chain Technology

Dan He

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: How to realize the intelligence of logistics distribution is a hot research topic at present. How to reasonably allocate vehicles, optimize driving routes and travel time, deliver goods to customers on time at the lowest cost, and realize efficient and ... ...

Abstract	How to realize the intelligence of logistics distribution is a hot research topic at present. How to reasonably allocate vehicles, optimize driving routes and travel time, deliver goods to customers on time at the lowest cost, and realize efficient and low-cost operation of the logistics distribution system has always been a problem in academia and industry for many years. Logistics enterprises face problems such as low efficiency of logistics operation, lack of scientific rationality of logistics resource planning, and lack of overall optimization of logistics management operation mode. These are severe tests that steel companies must accept. Under the background of logistics supply chain, the integrated service platform of logistics supply chain has become an urgent research topic. This study takes a steel enterprise as the main research background. On this basis, the two core modules of warehousing and distribution in the logistics business of iron and steel enterprises are qualitatively analyzed, the concept of business process reengineering is proposed, and the logistics supply chain of iron and steel enterprises is established. The concept of comprehensive service platform is realized through RFID technology. In addition, this study conducts a comprehensive analysis and research on the logistics distribution path optimization and vehicle scheduling problem, designs and implements a logistics vehicle scheduling management system, and then adopts the multiobjective method to solve the logistics distribution path planning problem, SMEs. Genetic algorithm and a simulation decision-making subsystem suitable for this problem are designed, which can better solve the problem of route optimization and vehicle scheduling in small-scale distribution.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	380 ; 670
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Design of Multimedia English Online Teaching Platform under Wireless Network Communication Technology.

Dan, He

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 1894067

Abstract: The traditional online teaching platform has poor compatibility due to the high data delay in practical applications. Therefore, a Multimedia English online teaching platform under wireless network communication technology is designed. Aiming at the ... ...

Abstract	The traditional online teaching platform has poor compatibility due to the high data delay in practical applications. Therefore, a Multimedia English online teaching platform under wireless network communication technology is designed. Aiming at the actual functional requirements of online teaching, the overall architecture of the Multimedia English online teaching platform is designed. In this architecture, the hardware of the data collector, memory, and main controller is deployed to build the platform. Based on the wireless network communication technology, the software modules are divided into two parts. It is made of a number of functional modules. The design of the platform functional modules is mainly based on the main functions of the administrator submodule, the teacher submodule, and the student submodule. At the same time, the weight of the indicators is determined by combining the analytic hierarchy process and the evaluation domain for the quality evaluation of Multimedia English online teaching is established. The level model completes the platform design. The experimental results show that the test results of the designed platform meet the expected goals and can effectively improve the quality and efficiency of Multimedia English online teaching. The teaching quality is always higher than 95%, and the average teaching efficiency is 96.27%.
MeSH term(s)	Communication ; Humans ; Multimedia ; Software ; Wireless Technology
Language	English
Publishing date	2022-04-23
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/1894067
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The Role of the Forest Recreation Industry in China’s National Economy

Yingying Qiu / Dan He / Zhe Xu / Xiaoliang Shi

Sustainability, Vol 15, Iss 9690, p

An Input–Output Analysis

2023 Volume 9690

Abstract: Forest recreation not only enables directly creates impacts on the entire tourism industry but also indirectly creates effects on other industries composed in an economic system via inter-industrial interdependence, such as backward and forward linkages ... ...

Abstract	Forest recreation not only enables directly creates impacts on the entire tourism industry but also indirectly creates effects on other industries composed in an economic system via inter-industrial interdependence, such as backward and forward linkages or interactions. However, due to the lack of data available, few studies have been made exclusively for evaluating the impacts of forest recreation on the economy in a national dimension. Therefore, this paper attempts to analyze the economic impacts of the forest recreation industry. Using an input–output modeling approach, the industrial linkage and a cluster of economic multipliers are estimated based on new input–output tables for 2012, 2017, and 2018 that includes the forest recreation industry. The results indicate that, first, both the forward and backward linkages caused by forest recreation show rising trends over the analysis periods and the backward linkages are stronger than forward linkages. Second, the economic contribution of forest recreation has been strengthened, although the multipliers have shown a downward trend. The total output impact in 2018 is calculated to be $838.187 billion, with a total added impact of $352.713 billion. Furthermore, forest recreation could create over 18 million jobs with an average annual growth rate of 15.73%, which are mainly in the catering, accommodation, and retail industries with low skill requirements. Finally, policy applications are proposed to provide reliable and useful information for future planning and investment decision associated with the forestry and ecotourism industry.
Keywords	input–output analysis ; forest recreation ; economic impact ; industry linkage ; multipliers ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	910
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Assessing the impact path of air quality on enterprise R&D investment

Jialiang Yang / Dan He / Naveed Akhtar Qureshi

Frontiers in Environmental Science, Vol

Empirical evidence from dual perspectives of investor sentiment and government concern

2022 Volume 10

Abstract: Based on the data of Shanghai and Shenzhen A-share listed companies from 2015 to 2019, this paper studies the influence of air quality on the R&D investment of listed companies from the perspectives of investor sentiment and government concern. It is ... ...

Abstract	Based on the data of Shanghai and Shenzhen A-share listed companies from 2015 to 2019, this paper studies the influence of air quality on the R&D investment of listed companies from the perspectives of investor sentiment and government concern. It is found that, on the whole, air quality has a significant inhibitory effect on R&D investment. Air quality significantly promotes investor sentiment, which serves as a path to further restrain the R&D investment of listed companies. Air pollution is an effective concern for the government and serves as a veil between air quality and R&D investment. Furthermore, this paper analyzes the heterogeneity of enterprises from the aspects of regional technology complexity, property right nature, whether it is a polluting enterprise or not, and whether it is a key regulated enterprise or not, and comes to relevant conclusions. This paper expands the research on air quality and enterprise R&D investment decision-making, which helps to clarify and improve the transmission mechanism and implementation effect of environmental protection policies.
Keywords	investment ; financial enterprise ; air quality ; enterprise R&D investment ; investor sentiment ; Environmental sciences ; GE1-350
Subject code	650
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Correction

Dan He / Jialiang Yang / Zhengming Wang / Wenchao Li

PLoS ONE, Vol 17, Iss

Has the manufacturing policy helped to promote the logistics industry?

2022 Volume 5

Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effect of Rural Human Settlement Environment around Nature Reserves on Farmers’ Well-Being

Tingting Zhang / Dan He / Tian Kuang / Ke Chen

International Journal of Environmental Research and Public Health, Vol 19, Iss 6447, p

A Field Survey Based on 1002 Farmer Households around Six Nature Reserves in China

2022 Volume 6447

Abstract: Numerous countries actively consider the human settlement environment and have implemented rural governance strategies to ameliorate the living conditions of rural dwellers. The construction of a rural human settlement environment is an important goal of ...

Abstract	Numerous countries actively consider the human settlement environment and have implemented rural governance strategies to ameliorate the living conditions of rural dwellers. The construction of a rural human settlement environment is an important goal of China’s rural revitalization strategy and improving farmers’ well-being is a key element of China’s policies on agriculture, farmers, and villages. However, whether a rural human settlement environment enhances farmers’ well-being remains untested. By adopting the method of random stratified sampling, this study investigated 1002 farmers inside and outside six nature reserves in Liaoning, China. OLS and ordered probit regression models were used to assess the impact on the well-being and the satisfaction of farmers with their settlement environment around nature reserves from three aspects: the natural ecological environment, the hardware facility environment, and the daily governance environment. The results of this study proved that the construction of a human settlement environment can significantly boost the well-being of farmers. Moreover, the satisfaction towards the natural ecological environment, hardware facility environment, and daily governance environment exerts a substantial impact on the well-being at the significance level of 1%, with a positive sign, showing a stable enhancement role. Among them, the satisfaction with the hardware facility environment was the most essential for improving happiness, with a coefficient of 0.126. A heterogeneity analysis suggests that the positive effect of satisfaction with the human settlement environment on farmers’ well-being within nature reserves was more significant in the natural ecological environment, with a coefficient of 0.244; the hardware facility environment had the greatest positive effect on the well-being of farmers outside nature reserves, with a coefficient of 0.224; and the daily governance environment had a greater enhancing effect on the well-being of farmers both inside and outside nature ...
Keywords	nature reserves ; human settlement environment ; well-being ; farmers ; Medicine ; R
Subject code	910
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A new perspective on ecological vulnerability and its transformation mechanisms

Kang Hou / Wendong Tao / Dan He / Xuxiang Li

Ecosystem Health and Sustainability, Vol 8, Iss

2022 Volume 1

Abstract: Ecological vulnerability refers to the degree of ecosystem disturbance, system damage, and the ability of system restoration. Although case-specific evaluations of ecological vulnerability are progressing rapidly, they have been carried out mainly in ... ...

Abstract	Ecological vulnerability refers to the degree of ecosystem disturbance, system damage, and the ability of system restoration. Although case-specific evaluations of ecological vulnerability are progressing rapidly, they have been carried out mainly in areas with intensive human activities or in harsh natural environments. Using the Web of ScienceTM core collection, this review paper summarized studies on ecological vulnerability published from 2000 to 2022 and analyzed in depth major case studies. It was found that traditional ecological vulnerability research has been addressed largely in terms of assessment models, data processing models, and analysis of influencing factors, however there was a lack of research on the process of vulnerability transformation. Because the vulnerability transformation in a hierarchical vulnerability index system is regulated by multiple factors in a heterogeneous region, it is urgent to understand how the ecological vulnerability in a region evolves from one level to another over time. Therefore this paper put forward the new perspective of research, i.e., applying quantitative analysis to identification of regulating factors and exploring the mechanisms of ecological vulnerability transformation. This new perspective could assist in monitoring the complex spatiotemporal changes in ecological vulnerability and taking necessary measures to prevent from decline of ecological stability.
Keywords	Data processing model ; ecological vulnerability assessment ; ecological vulnerability index ; regulating factor ; transformation mechanism ; Ecology ; QH540-549.5
Subject code	720
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatial-Adaptive Siamese Residual Network for Multi-/Hyperspectral Classification

Zhi He / Dan He

Remote Sensing, Vol 12, Iss 1640, p

2020 Volume 1640

Abstract: Deep learning methods have been successfully applied for multispectral and hyperspectral images classification due to their ability to extract hierarchical abstract features. However, the performance of these methods relies heavily on large-scale ... ...

Abstract	Deep learning methods have been successfully applied for multispectral and hyperspectral images classification due to their ability to extract hierarchical abstract features. However, the performance of these methods relies heavily on large-scale training samples. In this paper, we propose a three-dimensional spatial-adaptive Siamese residual network (3D-SaSiResNet) that requires fewer samples and still enhances the performance. The proposed method consists of two main steps: construction of 3D spatial-adaptive patches and Siamese residual network for multiband images classification. In the first step, the spectral dimension of the original multiband images is reduced by a stacked autoencoder and superpixels of each band are obtained by the simple linear iterative clustering (SLIC) method. Superpixels of the original multiband image can be finally generated by majority voting. Subsequently, the 3D spatial-adaptive patch of each pixel is extracted from the original multiband image by reference to the previously generated superpixels. In the second step, a Siamese network composed of two 3D residual networks is designed to extract discriminative features for classification and we train the 3D-SaSiResNet by pairwise inputting the training samples into the networks. The testing samples are then fed into the trained 3D-SaSiResNet and the learned features of the testing samples are classified by the nearest neighbor classifier. Experimental results on three multiband image datasets show the feasibility of the proposed method in enhancing classification performance even with limited training samples.
Keywords	remote sensing ; classification ; stacked autoencoder ; superpixel ; Siamese network ; Science ; Q
Subject code	000
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Humic Lake Exhibits Higher Microbial Functional Gene Diversity and Weaker Gene Interaction Efficiency than a Common Alkaline Lake

Dan He / Yuanyuan Liu / Qinglong Wu / Yuyang Peng / Lijuan Ren

Biology, Vol 11, Iss 1448, p

2022 Volume 1448

Abstract: Humic lakes (HLs) are special water bodies (high organic matter content, low pH, and low transparency) that are important sources of major greenhouse gases. The knowledge about microbial functional potentials and the interactions among different genes in ...

Abstract	Humic lakes (HLs) are special water bodies (high organic matter content, low pH, and low transparency) that are important sources of major greenhouse gases. The knowledge about microbial functional potentials and the interactions among different genes in HL water has been scarcely understood. In this study, we used 16S rRNA gene sequencing and the GeoChip 5.0 to investigate microbial community compositions and functional gene structures in an HL and a reference weakly alkaline lake (RAL). The HL microbial communities showed distinct compositions and functional gene structures than those in the RAL. The functional gene diversity was significantly higher in the HL than in the RAL. Specifically, higher gene relative intensities in carbon and nitrogen fixations, the degradation of various types of carbon, methane oxidation and methanogenesis, ammonification, denitrification, and assimilatory N reduction were observed in the HL samples. By contrast, the metabolic potentials of microorganisms involved in dissimilatory N reduction, phosphorus degradation, and sulfur oxidation were weaker in the HL than in the RAL. Despite higher functional gene diversity, the interaction efficiency among genes (reflected by network geodesic distance and clustering coefficient) might be reduced in the HL. Different functional microbes may develop less interdependent relationships in acquiring nutrients given the high resource availability in the HL. Overall, the enhanced microbial metabolic potentials and less efficient functional interactions might have great consequences on nutrient cycling and greenhouse gas emissions in the HL ecosystem.
Keywords	humic lake ; microbial community ; functional gene ; nutrient cycling ; Biology (General) ; QH301-705.5
Subject code	500
Language	English
Publishing date	2022-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The impact of tourism on farmers’ household income in the context of China’s regulatory policies of protected areas

Dan He / Jingwen Wang / Tingting Zhang / Zhe Xu / Yang Wang / Shiyu Liu / Ke Chen

Frontiers in Forests and Global Change, Vol

2023 Volume 6

Abstract: China’s central government has issued several governance policies for protected areas since 2015. Some of these affected the use of natural resources by the farmers living in protected areas. Tourism is an important source of income for farmers around ... ...

Abstract	China’s central government has issued several governance policies for protected areas since 2015. Some of these affected the use of natural resources by the farmers living in protected areas. Tourism is an important source of income for farmers around such areas. Based on the survey data of 1,028 farmer households, this study use propensity score matching (PSM) method to solve the samples selection bias and improve the accuracy of evaluation. For both the vertical and horizontal, this study explores the changes in the impact of tourism on farmers’ household income under regulatory policies. Longitudinally, before the introduction of these policies, the income effect of tourism on the per capita net income of households was about 49.21%, while this percentage dropped to 41.36% after their introduction. Horizontally, before these policies were implemented, the farmers involved in the protected areas’ tourism experienced 16.30% higher tourism income effect than those outside protected areas. Post implementation, the income effect of tourism in protected areas dropped by 9.83%. Empirical data based on the abovementioned were used to verify the inhibitory effect of the existing control policies on tourism in protected areas, and put forward the direction of policies reform in China or state governance-protected areas in other countries.
Keywords	China ; protected areas tourism ; policies effect ; policies impact ; household income ; propensity score matching (PSM) ; Forestry ; SD1-669.5 ; Environmental sciences ; GE1-350
Subject code	910
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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