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5. Effective removal of Congo red from aqueous solutions using ethylenediamine-modified wheat straw as adsorbent.

Author

Song, Yinghua, Zeng, Xingling, and Peng, Rong

Subjects
*WHEAT straw, *CONGO red (Staining dye), *AQUEOUS solutions, *ADSORPTION capacity, *HYDROGEN bonding, *SORPTION
Abstract

In this study, ethylenediamine (EDA)-modified wheat straw (EMWS) was prepared and used as an efficient adsorbent for removing Congo red (CR) from aqueous solutions. Adsorption of CR by EMWS was examined through static adsorption experiments to determine the effect of contact time, initial pH values, particle size of the adsorbent, solution concentration, and temperature. As pH ranged from 4.0 to 10.0, CR adsorption by the EMWS remained considerably elevated. The equilibrium adsorption capacity was determined to be 97.92 mg·g−1 for a CR concentration of 400 mg·L−1, pH of 4.0, temperature of 318 K, and EMWS dose of 2 g·L−1, which was found to be comparable to other materials used for CR adsorption. Following that, optimal conditions were used to conduct isothermal, kinetic, and thermodynamic studies. In the adsorption process of CR, the Freundlich isotherm model and the pseudo-second-order (PSO) kinetics provided the best fit, indicating the presence of both physisorption and chemisorption mechanisms. Electrostatic attraction and hydrogen bonding were primarily responsible for CR adsorption onto the EMWS. Based on thermodynamic investigations, the adsorption of CR on EMWS is determined to be spontaneous (ΔG < 0) and endothermic (ΔH = 60.83 kJ·mol−1), while also exhibiting an increase in disorder (ΔS = 289.9 J·mol−1·K−1). The elution was carried out using 0.20 M HCl, followed by washing the EMWS with water, resulting in no loss of functionality. This study suggests that EMWS possesses the potential to serve as a feasible and efficient adsorbent for CR removal in wastewater. [ABSTRACT FROM AUTHOR]

Published
2024
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6. The Construction and Key Technologies Research of the Integration of EMS and DMS with Rush Repair Scheduling in Area Grid

Author

Song, Yinghua, He, Ming, Li, Leifan, Yuan, Wei, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Xhafa, Fatos, editor, Patnaik, Srikanta, editor, and Tavana, Madjid, editor

Published
2020
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7. Study on mixing characteristics of viscoplastic fluid in a rigid-flexible impeller stirred tank.

Author

Gu, Deyin, Song, Yinghua, Wen, Li, and Ye, Mei

Subjects
*IMPELLERS, *VISCOPLASTICITY, *FLUIDS, *CAVES
Abstract

The rigid-flexible impeller (RF impeller) was used in the mixing process of viscoplastic fluid, and the mixing performance of RF impeller was explored by using numerical simulation and experimental analysis. Results indicated that RF impeller could reduce the power consumption (P) and demonstrate the advantage of energy-saving compared with Rushton turbine (RT). RF impeller demonstrated a more pronounced force coupling effect between the impeller and surrounding fluid, and exhibited superior adaptability in the flow field compared with RT. Meanwhile, the utilization of RF impeller can effectively enhance the expansion of high velocity region, expand the cavern zone, and decrease the mixing efficiency number while maintaining constant P compared with RT, and the size of high velocity region and cavern zone could be increased with an increase in impeller speed. Moreover, the cavern structure was obtained through the visualization experiment, and the results were similar to that in the simulation. The findings suggested that incorporating rigid-flexible combination structure design of impeller blades could effectively expand the cavern zone, reduce the stagnant zone, and enhance the mixing efficiency in the viscoplastic fluid mixing process. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Class‐imbalanced financial distress prediction with machine learning: Incorporating financial, management, textual, and social responsibility features into index system.

Author

Song, Yinghua, Jiang, Minzhe, Li, Shixuan, and Zhao, Shengzhe

Subjects
SOCIAL responsibility, MACHINE learning, ECONOMIC indicators, BOOSTING algorithms, GENETIC algorithms, DECISION trees, FEATURE extraction
Abstract

Financial distress prediction (FDP) is centrally imported to reduce potential losses of companies and investors. This paper combines social responsibility indicators with financial, management, and textual indicators to construct a multi‐dimensional FDP index system. To increase prediction accuracy, the difference in the number of samples between special treatment and health companies is actively considered, and the synthetic minority oversampling technique is adopted to deal with class‐imbalanced datasets. Moreover, a feature extraction method based on the genetic algorithm is employed to select features as input of machine learning models for predicting financial distress in Chinese listed companies. Experimental results show that ensemble classifiers are the better choice for predicting financial distress, of which gradient boosting decision tree outperforms other classifiers. Textual indicators play the most significant role in complementing traditional financial indicators of FDP, and their financial distress signals emerge earlier compared with management and social responsibility indicators. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Exploring Organizational Readiness to Change and Learn: A SciVal Analysis from 2012 to 2021

Author

Baira Faulks, Song Yinghua, Akmal Khudaykulov, and Aziz Jumanov

Subjects
General Medicine
Abstract

In today’s rapidly evolving business landscape, organizational change has emerged as a crucial aspect of contemporary business strategies. The capacity to adapt is vital for organizations to maintain their competitive edge and stay relevant. However, executing change can be challenging, and the success of change initiatives largely hinges on an organization’s readiness to change and learn. Organizational readiness to change has been extensively researched in management and organizational studies. This research paper delves into organizational readiness to change and learn, scrutinizing its influence on change initiatives and emphasizing the key trends and developments in this area between 2012 and 2021. The paper presents an in-depth SciVal analysis of the growth and scholarly output in the domains of learning organizations, organizational performance, and personnel over this period. The study identifies the most pertinent keyphrases, leading institutions, countries/regions, and Scopus sources contributing to the field.

Published
2023

19. The role of pyroptosis in lung cancer and compounds regulated pyroptosis of lung cancer cells

Author

Tian, Feng, Chen, Xueyang, Yin, Ke, Lin, Xiaoyan, and Song, Yinghua

Subjects
Lung cancer -- Development and progression, Apoptosis -- Health aspects, Health
Abstract

Byline: Feng. Tian, Xueyang. Chen, Ke. Yin, Xiaoyan. Lin, Yinghua. Song Pyroptosis is a caspase-1/3/4/5/8/11-mediated form of programmed cell death. It is primarily induced through two pathways - the canonical [...]

Published
2021

20. Emergency decision-making method based on multi-attribute intuitionistic fuzzy and evidence theory

Author

Xu Xiaoyue, Fang Danhui, and Song Yinghua

Subjects
Environmental sciences, GE1-350
Abstract

Multi-attribute emergency decision-making problems have the characteristics of incomplete information and shortage of response time. Evidence theory can effectively express uncertain information in the decision-making process. However, evidence theory requires that the condition of evidence independence is met, and the evaluation information of experts is often vague. Therefore, an emergency decision-making method based on intuitionistic fuzzy sets and evidence theory is proposed. First, each expert gives an intuitionistic fuzzy evaluation of each emergency plan. Secondly, the proposed intuitionistic fuzzy similarity calculation method is used to obtain the similarity between experts and determine the expert weight. The attribute weight is known, the intuitionistic fuzzy evaluation is converted into a Mass function, and the evaluation of expert's decision-making plan is revised and fused using evidence theory to obtain the final decision. Finally, an example analysis proves that the model is feasible and effective.

Published
2021
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27. The COVID-19 Crisis: Implications for the Development and Growth of Agricultural Sector in EU countries and Russia

Author

Baira Faulks and Song Yinghua

Subjects
Coronavirus disease 2019 (COVID-19), Economic policy, Agriculture, business.industry, Political science, 0502 economics and business, 05 social sciences, 050202 agricultural economics & policy, 050207 economics, business, Eu countries
Abstract

The COVID-19 crisis impacted negatively sustainable growth and the wellbeing of businesses and national economies. The economic outlook of 2020 and 2021 reflects a slowdown in the global economy, with poverty and unemployment rates ascending, national debts growing, and fiscal and monetary burden increasing. All the sectors of the economy have been affected across all of the EU countries, including the agricultural sector. Coronavirus posed unprecedented challenges for the agricultural sector, ranging from a labour shortage to demand changes. Lockdowns caused immense disturbances in farmers’ supply chains, causing them to doubt their long-term viability. Due to the social distancing and restrictions on social gatherings, marketplaces either closed or were devoid of customers. At the same time, the agricultural sector has proved quite resilient during the COVID-19 crisis. In this paper, we discuss the challenges which the agricultural sector has faced during the COVID-19 pandemic, and suggest that further growth and development can be sustained through innovation, more precisely, digital technology. The current conceptual research contributes to the body by exploring the effect of the novel COVID-19 virus on national economies and especially the agricultural sector.

Published
2021

40. System Dynamics Simulation and Countermeasure Analysis of Food Safety Regulatory Model

Author

Liu Qing and Song Yinghua

Subjects
Countermeasure, business.industry, Corporate governance, digestive, oral, and skin physiology, Control (management), Field research, Context (language use), Environmental economics, Food safety, business, China, System dynamics
Abstract

In the context of the high incidence of food safety incidents in China in recent years, the governance model of co-governance has been proposed and received attention. The current mode of food safety regulatory in China has been the education and information mode, which is in between authoritarian control to social co-governance. The system dynamics model of food safety regulatory mode is established through field research on food market, food and drug administration, industry and commerce administration and other related aspects of food safety supervision in W district of a city in hubei province. Based on this model, a simulation analysis of food market operation state, food safety supervision performance and supervision cost was conducted. The results show that compared with education, the model of social co-governance can significantly save the cost of regulatory and improve the performance of regulatory. The running state of food market is more stable and orderly.

Published
2020

41. A Novel Coronavirus Pneumonia Emergency Management System Based on Big Data

Author

Xia Yaqiong, Song Yinghua, and Fang Danhui

Subjects
2019-20 coronavirus outbreak, Government, Coronavirus disease 2019 (COVID-19), business.industry, TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Corporate governance, Big data, Internet privacy, The Internet, Emergency management system, business
Abstract

In order to overcome the serious impact of the spread and spread of Internet rumors to the society, and improve China's government's ability to manage Internet rumors, this paper proposes a novel coronavirus pneumonia emergency management system based on big data. The system combines novel coronavirus pneumonia epidemic characteristics, starting from the source of Internet rumors, taking preventive and administrative measures. The results show that the system can overcome the validation impact of the spread and spread of Internet rumors on the society, and improve the governance ability of the Chinese government on Internet rumors, which is conducive to the smooth progress of epidemic prevention and control.

Published
2020

42. Study on zinc thermal spraying with high coating thickness for steel structure.

Author

WU Wei, WANG Yang, JIANG Qiyue, and SONG Yinghua

Subjects
METAL spraying, GALVANIZING, SURFACE coatings, STEEL, ENERGY consumption
Abstract

The effects of wire feeding voltage (equivalent to wire feeding rate), spraying current, and zinc wire diameter on the quality of thermally sprayed zinc coating with a thickness about 200 μm were studied. When the wire feeding voltage and the spraying current are 20 V and 200 A respectively, the coating was well formed with low energy consumption, and had an adhesion strength up to 8.4 MPa. The loss rate of zinc wire 2.0 mm in diameter during thermal spraying was 67% and 35% lower than that of zinc wires with a diameter of 1.6 mm and 3.0 mm, respectively. The presented zinc thermal spraying process is simple, controllable in quality, and cost-efficient, and has been well applied and verified in engineering. [ABSTRACT FROM AUTHOR]

Published
2022
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45. Research and Design of General Electric Power Internet of Things System Platform Architecture

Author

Song Yinghua and Li Zhongwei

Subjects
Technical support, Model management, business.industry, Computer science, Electric power, Architecture, Internet of Things, business, Telecommunications, Edge computing, Range (computer programming), PATH (variable)
Abstract

With the continuous development of the Internet of Things technology, its application industry is also expanding. This paper takes the power of the Internet of Things as the core and conducts research and design of a general-purpose power IoT system platform architecture. Through an in-depth analysis of the system platform architecture, its implementation path and application range are clarified, which provides technical support for the rapid development of the electric power Internet of Things.

Published
2020

46. Research and Analysis on Key Technologies of Equipment Operation Management Based on Distribution Automation System

Author

Dai Wei, Li Leifan, Xiong Zhijie, and Song Yinghua

Subjects
Master station, Technical support, Computer science, business.industry, Reliability (computer networking), Systems engineering, Key (cryptography), Process automation system, business, Maintenance engineering, Automation, Power (physics)
Abstract

With the development of distribution automation technology and the large-scale popularization of power distribution equipment, this paper analyzes how to carry out the operation of distribution network equipment and the key technologies in the application of the existing distribution automation master station system. The different system functions are described. The operation and management of the distribution network equipment based on the power distribution master station system is the only way in the later stage of power distribution automation, and it is an indispensable part of the power distribution automation master station system. The operation and management technology of the distribution network equipment is an important technical support for the distribution automation system.

Published
2019

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