bluuebunny/crossref_metadata_2025 huggingface dataset:
Phosphorus containing porous organic polymers: synthetic techniques and applications in organic synthesis and catalysis
Authors: Kumar Pramod , Das Animesh , Maji Biplab
Published: March 2021

This review features the recent advancement made in phosphorus-containing POPs, highlighting different synthetic techniques for their preparation and application in organic synthesis.
An organophotoredox-catalyzed C(sp2)–N cross coupling reaction of cyclic aldimines with cyclic aliphatic amines
Authors: Liu Xue , Wang Jingjing , Wu Ziyan , Li Feng , Gao Kexin , Peng Fanyang , Wang Junjie , Shen Renzeng , Zhou Yao , Liu Lantao
Published: March 2021

An organophotocatalyzed C(sp2)–H/N–H cross-dehydrogenative coupling of cyclic aldimines with aliphatic amines has been developed. This methodology enables the assembly of amine derivatives via radical mediated C–N bond formation in good yields.
Rh-Catalyzed C–H alkylation enabling modular synthesis of CF3-substituted benzannulated macrocyclic inhibitors of B cell responses
Authors: Sun Tao , He Shijun , Xu Zhongliang , Zuo Jianping , Yu Yang , Yang Weibo
Published: March 2021

Inspired by aspirin and chalcone, herein, we describe a modular biomimetic strategy to achieve a new class of CF3-bearing benzannulated macrolactams.
Correction: Optimisation of the dibromomaleimide (DBM) platform for native antibody conjugation by accelerated post-conjugation hydrolysis
Authors: Morais Maurício , Nunes João P. M. , Karu Kersti , Forte Nafsika , Benni Irene , Smith Mark E. B. , Caddick Stephen , Chudasama Vijay , Baker James R.
Published: March 2021

Correction for ‘Optimisation of the dibromomaleimide (DBM) platform for native antibody conjugation by accelerated post-conjugation hydrolysis’ by Maurício Morais et al., Org. Biomol. Chem., 2017, 15, 2947–2952, DOI: 10.1039/C7OB00220C.
Intrinsic high-k–low-loss dielectric polyimides containing ortho-position aromatic nitrile moieties: reconsideration on Clausius–Mossotti equation
Authors: Zhu Tianwen , Yu Qiaoxi , Zheng Weiwen , Bei Runxin , Wang Wenhui , Wu Minming , Liu Siwei , Chi Zhenguo , Zhang Yi , Xu Jiarui
Published: March 2021

Intrinsic high-k–low-loss dielectric polyimides containing ortho-position aromatic nitrile moieties were synthesized. 2CN-BTDA shows a Dk of 4.80, Df of 1.57 × 10−3 at 1 kHz (25 °C), EB of 219.4 kV mm−1 with energy density of 1.023 J cm−3 and Tg of 325 °C.
Ambient microdroplet annealing of nanoparticles
Authors: Ray Chowdhuri Angshuman , Spoorthi B. K. , Mondal Biswajit , Bose Paulami , Bose Sandeep , Pradeep Thalappil
Published: March 2021

Polydisperse silver nanoparticles were converted to a highly ordered assembly of nanoparticles by microdroplet-induced chemistry, under ambient conditions, within seconds.
Achieving full-color emission of Cu nanocluster self-assembly nanosheets by the virtue of halogen effects
Authors: Liu Zhaoyu , Yao Dong , Ai Lin , Liu Huiwen , Zhang Shitong , Zhang Hao
Published: March 2021

Full-color emission of Cu nanocluster self-assembly nanosheets is achieved by incorporating different halogens.
Subtle changes in crosslinking drive diverse anomalous transport characteristics in actin–microtubule networks
Authors: Anderson S. J. , Garamella J. , Adalbert S. , McGorty R. J. , Robertson-Anderson R. M.
Published: March 2021

Subtle changes to actin–microtubule interactions can have complex impacts on particle diffusion in cytoskeleton composites, suggesting that reduced filament mobility and more variance in actin mobilities leads to more strongly anomalous transport.
A novel model to eliminate the doubly near‐far problem in wireless powered communication network
Authors: Singh Jitendra , Chaturvedi Akanksha , Sharma Sandeep , Singh Abhilash
Published: March 2021

In this paper, the newly emerging wireless powered communication network is studied. In doing so, the performance of the global controller (GC) is evaluated, which coordinates the wireless energy transmissions between two sensor nodes. Both the sensors have the same harvested energy for uplink (UL) transmission of information through time‐division‐multiple‐access. Afterwards, the information transmission time is optimised to maximise the common throughput of both the sensors with a total time constraint based on the user's UL channels along with the same harvested energy value. Further, due to the “doubly near‐far” phenomenon, a remote sensor from the GC, which has poor channel conditions than a nearer user, has to transmit more time in the UL for maximum common throughput. To overcome this problem, the energy exchange (EEx) model is proposed where both sensors first harvest the same amount of wireless energy and then exchange energy to nullify the different channel conditions between sensors and GC to send their independent information in the UL. Simulation results demonstrate the EEx Model's effectiveness over without energy exchange (WEEx) model in eliminating the doubly near‐far problem in wireless powered communication network but at the cost of maximum sum‐throughput. The maximum sum‐throughput of the proposed EEx model is lower than the WEEx model. However, the average BER in the proposed EEx model is lower than the WEEx model, which increases the reliability of the model.
Switched capacitor low‐pass filter with amorphous indium‐gallium‐zinc‐oxide thin‐film transistors on flexible substrate
Authors: Wadhwa Nishtha , Bahubalindruni Pydi Ganga , Pedda Sujit , Gupta Mayank , Mahato Pradeep Kumar , Gupta Deepak , Deb Sujay , Tripathi Ashutosh Kumar
Published: March 2021

This paper presents a novel switched capacitor biquad with a high gain differential amplifier for the first time using amorphous indium‐gallium‐zinc‐oxide thin‐film transistors on flexible (polyimide) substrate. The proposed low‐pass filter was successfully characterised under normal ambient conditions. The circuit has shown a 3‐dB cutoff frequency of 155 Hz and power consumption of 336 μW from measurements with a power supply voltage of 10 V. This circuit would find potential applications in wearable continuous health monitoring systems.
Multimodal action recognition using variational‐based Beta‐Liouville hidden Markov models
Authors: Ali Samr , Bouguila Nizar
Published: March 2021

The visible spectrum is the most widely used modality for video media. Nonetheless, it is highly dependent on the lighting conditions. Hence, infrared (IR) imaging lower light sensitivity characterisation presents the untapped potential for robust automatic recognition systems. This is applicable to many applications including IR action recognition (AR), which is a relatively young field in IR. As such, in this study, the authors tackle IR and multimodal AR with the proposed utilisation of variational learning of Beta‐Liouville (BL) hidden Markov models (HMMs). Furthermore, to the best of the authors' knowledge, this is the first evaluation of the BL HMM in visible AR and in multimodal fusion for AR. They present the results of the proposed model on the infrared action recognition and the IOSB datasets. Experimental results demonstrate promising outcomes. The importance of using IR and multispectral fusion in AR is also highlighted by the results.
Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture
Authors: Rehman Zia ur , Khan Muhammad Attique , Ahmed Fawad , Damaševičius Robertas , Naqvi Syed Rameez , Nisar Wasif , Javed Kashif
Published: March 2021

Effective recognition of fruit leaf diseases has a substantial impact on agro‐based economies. Several fruit diseases exist that badly impact the yield and quality of fruits. A naked‐eye inspection of an infected region is a difficult and tedious process; therefore, it is required to have an automated system for accurate recognition of the disease. It is widely understood that low contrast images affect identification and classification accuracy. Here a parallel framework for real‐time apple leaf disease identification and classification is proposed. Initially, a hybrid contrast stretching method to increase the visual impact of an image is proposed and then the MASK RCNN is configured to detect the infected regions. In parallel, the enhanced images are utilized for training a pre‐trained CNN model for features extraction. The Kapur's entropy along MSVM (EaMSVM) approach‐based selection method is developed to select strong features for the final classification. The Plant Village dataset is employed for the experimental process and achieve the best accuracy of 96.6% on the ensemble subspace discriminant analysis (ESDA) classifier. A comparison with the previous techniques illustrates the superiority of the proposed framework.
Large‐scale implementation of floating car data monitoring road friction
Authors: Sollén S. , Casselgren J.
Published: March 2021

In Sweden today, friction measurements are performed manually, often using methods generating spot‐wise measurements. Because the low numbers of measurements provided by these methods are insufficient to follow up on the friction requirements set by the Swedish Transport Administration, the Administration has initiated the Digital Winter project. In Digital Winter, floating car data (FCD) are utilised for road friction estimation. The focus in this investigation is on coverage, and on whether the FCD detects harsh weather conditions with decreasing road friction. Two different methods—one continuous and one slip‐based—are implemented in this investigation. Furthermore, different approaches on how to build the vehicle fleet to collect the FCD have been applied using different combinations of commercial and private vehicles. The results showed that both methods detect low‐friction events, and for roads with high annual average daily traffic (AADT), the data collection using slip‐based methods and larger fleets gives more data points than for smaller fleets using continuous methods, and the reverse is true for lower AADT. The results showed differences between the two fleets in terms of coverage for the weekly and daily distributions, but overall, the method of using FCD for road friction estimation seems promising for the follow‐up of winter road maintenance.
High energy efficiency nanodielectrics with relaxor ferroelectric polymer and antiferroelectric (Pb0.97La0.02) (Zr0.63Sn0.3Ti0.07)O3 ceramics
Authors: Wang Jian , Xie Yunchuan , Chen Chao , Peng Biyun , Zhang Ben , Zhang Zhicheng
Published: March 2021

Dielectric materials with high‐energy‐density and low‐energy‐loss have received lot of attention in terms of renewable energy storage and application. PVDF‐based polymer/ceramics composite dielectrics are considered as one of the most promising materials due to their high dielectric constant. However, the high remnant polarisation (Pr) of ferroelectric polymer matrix and ceramics fillers generates a lot of energy loss and residual heat during charge‐discharge cycles, which limits their practical applications. Compared with ferroelectrics, relaxor ferroelectric and antiferroelectric dielectrics may have high energy efficiency due to their lower Pr. Here, the relaxor ferroelectric matrix and antiferroelectric filler coated by the polydopamine layer were prepared by chemical grafting and solid‐state method, respectively. Afterwards, the P(VDF‐TrFE‐CTFE)‐g‐PMMA/PLZST nanocomposite was prepared via solution casting. Experimental results show that the energy loss of the optimised nanocomposites was significantly reduced, leading to an enhanced charge‐discharge efficiency (η) of 78% at 450 MV/m, which is 267% of the pure P(VDF‐TrFE‐CTFE) matrix and superior to those of most polymer/ferroelectric filler nanocomposites. It is encouraging that the breakdown strength and energy storage density of the P(VDF‐TrFE‐CTFE)‐g‐PMMA/PLZST nanocomposites with 6 wt% filler fractions reach the values of 458 MV/m and 10.3 J/cm3. This study establishes a simple and effective strategy for preparing capacitors with high energy efficiency.
Dynamic sliding mode control of single‐stage boost inverter with parametric uncertainties and delay
Authors: Mohammadhassani Farideh , Narm Hossein Gholizade
Published: March 2021

Here, a novel control strategy based on sliding mode control for the single‐stage boost inverter is presented. The goal is to achieve a system with robustness against inherent delays and variations in parameters, fast response, and high‐quality AC voltage. Therefore, according to the idea of current‐mode control, a new type of dynamic sliding mode control (DSMC) is proposed to improve the response performance on various input and parameter operation conditions. In comparison with the conventional controllers, the proposed DSMC utilized only a single loop while presenting attractive features such as robustness against parametric uncertainties and input delay by definition new sliding surfaces. Furthermore, the proposed system has a fast and chattering‐free response, provides an appropriate steady‐state error, good total harmonic distortion (THD), while its implementation is very simple. In a fair comparison with conventional sliding mode control, simulations and laboratory experiments verified satisfactory performance and effectiveness of the DSMC method.
Experimental studies on the influence of benzyl benzoate on viscosity of vegetable oil based insulating liquids for power transformer
Authors: Moosasait Bakrutheen , Maria Siluvairaj Willjuice Iruthayarajan , Eswaran Ramachandran
Published: March 2021

For insulating liquids in power transformers, the development of low viscous vegetable oil based liquids has been proposed in this work. The viscosity reduction of vegetable oil based liquids has been achieved by processing of the natural esters with different levels of concentration of aromatic solvent of benzyl benzoate. Two categories of vegetable oil based liquids, namely edible such as sunflower oil, palm oil and sesame oil, and non edible such as honge oil, neem oil and punna oil are considered for this investigation. The analysis is also extended to investigate the influence of benzyl benzoate on other critical properties of vegetable oil based liquids such as breakdown voltage, flash point, moisture content, acidity, and density. From the experimental results, it is revealed that inclusion of benzyl benzoate has shown considerable reduction in viscosity of vegetable oil based liquids. Also based on properties of processed natural esters, results have given away the positive encouragement towards the development of low viscous insulating liquids with combined benzyl benzoate and natural esters for application in high voltage power transformers.
Research and Practice of Comprehensive Utilization Technology of Mine Water Based on Green Mining
Authors: Wang Li , Fu Yongzhi , Zhu Jingyan
Published: March 2021

Yannan Coal Mine in Dayan Mining Area creatively utilizes water-preserving mining technology to block abandoned roadways to build underground reservoirs and build underground sedimentation tanks. It implements a zoned utilization and zoned management optimization technical plan for mine water, so that it can meet the needs of underground working face production and surface production and domestic water use. This mine water comprehensively recycles water conservation mining technology and makes full use of mine water resources. This greatly improves the utilization rate of mine water, realizes the recycling of mine water, and accelerates the construction of green mines.
Application of hydrogen optical storage cogeneration in ships
Authors: Fang Zheng , Wang Zhuoer , Wei Lan , Zhou Zhengkang
Published: March 2021

This project aims at the problems of low efficiency and large emission of LNG energy and other fossil energy. Combined with existing basic hydrogen fuel cell technology and solar power generation technology, a set of ship power management system based on hydrogen fuel cell is designed. Combined with solar energy technology, it effectively improves fuel efficiency and greatly reduces greenhouse gas emissions.
Real-time Monitoring System and Method of PFC Capability of Power Grid Based on Data Analysis
Authors: Li Jun , Miao WeiWei , Zhang WenDong
Published: March 2021

The development of wind power and other new energy sources has a great impact on the stability of power system frequency. By analyzing the characteristics of the primary frequency control(PFC) assessment standard of the power grid, one real-time monitoring method of the unit’s PFC capability of the power grid based on data analysis is proposed. The Power network dispatching department can fully grasps the overall frequency regulation capability of the operating units. It can improve the grid’s response methods to deal with high power gaps and ensure the safe and stable operation of the grid.
Research on Frequency Adaptability of Permanent Magnet Synchronous Generator
Authors: Tingyi He , Shengnan Li , Shuijun Wu , Peng He , Runzhi Mu
Published: March 2021

In this paper, a study on frequency adaptability of permanent magnet synchronous generator (PMSG) is carried out, the influence mechanism of the frequency changes on PMSG is revealed. It is proposed that setting the converter protection setting value and PLL parameters reasonably can ensure that the grid frequency change has little effect on the PMSG. The simulation of frequency adaptability of PMSG is realized on Matlab/Simulink, and the simulation results verify the correctness of the conclusion.
Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction
Authors: Xu Aixia , Yang Xiaoyong
Published: March 2021

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.
Evaluation of Integrated Energy System in Airports Based on Comprehensive Weighting Method
Authors: Jiayin Ji , Kang Chen
Published: March 2021

Airport is a typical integrated energy system in a park with various energy requirements. In this paper, a multi-dimensional quantitative analysis of system performance indicators was conducted by using a comprehensive weighting method based on the analytic hierarchy process (AHP) and anti-entropy weight method. A distributed energy system evaluation matrix model was used to evaluate and compare different integrated energy designs. The results showed that electric boilers would increase the primary energy ratio and primary energy consumption than the ones caused by gas boilers. Also, energy storage devices could significantly decrease pollutant emissions of integrated energy systems but would increase investment costs and reduce the economic indicators of system solutions. In a word, the configuration with ice storage, combined cooling, heating and power (CCHP), gas boiler, ground source heat pump (GSHP), air source heat pump (ASHP), and absorption chiller had the best evaluation indicators.
Thermodynamic Analysis of Combined Cooling Heating and Power System with Absorption Heat Pump Based on Small Modular Lead-based Reactor
Authors: Wang Han , Yu Dali , Xu Chi , Khan Muhammad Salman , Bai Yunqing
Published: March 2021

Small Modular Lead-based Reactor (SMLR) has generated great interest in academic research all around the world due to its good safety characteristics and relatively high core outlet temperature. In this paper, a Combined Cooling Heating and Power (CCHP) system with usage of absorption heat pump, which couples with a SMLR, was proposed to fulfill the energy demands in remote areas. Thermodynamic analysis was implemented to improve the performance of the CCHP system based on SMLR. To meet the remote areas’ energy needs, the main parameters and mass flow rate of a 35 MWth SMLR design were analyzed. The SMLR CCHP with absorption heat pump system can provide electric power 12.5MWe, heating 9.5MWh, and cooling 2.54MWc. The total energy utilization efficiency of the system can be 69.12 %. This work can provide a reference in the design and optimization of the CCHP system to meet the energy demands in the remote areas.
Research on social behaviours impact evaluation of automobile recycling
Authors: Wang Jia , Li Yuke , Pan Wei , Li Zhenbiao
Published: March 2021

There are different subjects in the automobile recycling behaviour, while each subject is also affected by different social behaviours, including policy guidance, social cognition, technological upgrading and environmental protection. This study uses the AHP method to analyze the influence factors of different social behaviours on different subject, so as to visually analyze the impact caused by each social behaviour. At the end of the article, some suggestions for improving automobile recycling are discussed from the perspective of social behaviours.
Research on multi-objective planning and optimization of integrated energy system based on economy and environmental protection
Authors: Wang Xiaohui , Xue Lu , Wang Yongli , Zhang Yuli , Liu Yijiang
Published: March 2021

The development of a regional integrated energy system is an important way to improve energy utilization, alleviate the problem of renewable energy consumption and improve the environment. Aiming at the problems of single planning technology and fewer resource types in the existing integrated energy system planning, various types of equipment in the integrated energy system were built, and the integrated energy system was established with the goal of optimal economy and certain environmental protection. The system multi-objective planning optimization model, and then the particle swarm algorithm is used to solve the example problem to verify the feasibility and economy of the model and the optimization algorithm.
Characteristic Selection and Prediction of Octane Number Loss in Gasoline Refinement Process
Authors: Li Wei , Yang Jiali , Yang Peihao , Li Sheng
Published: March 2021

In the refining process of gasoline, accurate prediction of the octane number loss is conducive to production management to ensure the octane content in gasoline. Therefore, the relevant research has important theoretical significance and application value. Aiming at the characteristics of octane number loss with few samples, high dimensions and non-linear of the octane number loss, this paper uses maximum information coefficient, recursive characteristic elimination and random forest regression algorithm to select the main characteristics, and establishes the octane number loss prediction model based on least squares support vector machine respectively. Compared with the three algorithms of support vector machine, BP neural network and ridge regression, the experimental results show that the two models of ridge regression and least square support vector machine have higher prediction accuracy, but the least square support vector machine has the best effect.
A review on vibration energy harvesting
Authors: Na Liu , Yuhao Wan , Huanqing Han , Tongshuo Liu
Published: March 2021

Vibration energy capture devices can convert the mechanical energy from ambient source into electrical energy. The captured electrical energy can provide energy for low-power devices such as microelectromechanical systems(MEMS) as a supplement to the power system. Vibration energy has been widely concerned by researchers because of the characteristics of easy access and green. The conversion of mechanical vibration energy into electrical energy can be achieved by electromagnetic, electrostatic, piezoelectric, magnetostrictive, dielectric elastomer and emerging friction nano-types. This paper have discussioned some parts of the vibration energy harvesting: collection principle, collection method and the energy storage circuit. At present, the research and design of mechanical vibration energy harvesting structures focus on three aspects: broadening the collection frequency band, collecting dimensions and improving efficiency. Finally, the future direction of energy harvesting research is predicted.
Analysis of the Impact of China’s Energy Consumption Structure on Energy Security
Authors: Ning Wang , Zhao Li , Bei Zhang
Published: March 2021

Energy, as the guarantee of China’s economic development, plays an important role in it. Nowadays, however, oil production almost reaches its upper limit and is going downhill. The yearly rising output of natural gas fails to meet the increasingly huge energy demand. Although coal reserves are large, it still gets into a bottleneck period due to environmental and technological reasons. Therefore, the adjustment and optimization of energy consumption structure is the primary problem for China’s energy security, and it has become, and will still remain as the core of China’s energy strategy in the future. So, it is of great theoretical and practical significance to delve into the inter relationship between energy consumption structure and energy security, and then to optimize energy consumption structure under the new situation.

After an in-depth analysis on how to adjust the energy consumption structure to ensure energy security, the author finds several problems, for instance, an unreasonable energy consumption structure, a serious environmental pollution, a low energy utilization rate, and a recessive role of energy price market. To solve the practical problems, this paper puts forward three measures namely deepening the supply side reform, accelerating the energy technology innovation, and changing the concept in energy use. The improvement in energy consumption structure is not only of general significance to improve the energy security theory, but also of great significance for China to achieve the goal of greenhouse gas emission reduction and ensure energy security.
Rapid assessment and simulation study of the physiological and psychological state of coal miners
Authors: Gang Jin , JinSuo Zhang , YiXin Huang
Published: March 2021

In order to achieve a rapid evaluation of the physiological and psychological state of miners and to solve the problem of how to prevent human-caused accidents underground. Based on the existing literature and expert interviews, a rapid evaluation index system consisting of 2 aspects of physiological state and psychological state, 11 indicators such as body temperature, blood pressure and heart rate is established, and the index weights are determined by using AHP hierarchical analysis. Based on the weights, the physiological and psychological status of coal miners is classified into four levels: excellent, good, medium, and poor. Evaluation criteria also is established. A fuzzy comprehensive evaluation model of coal miners’ physiological and psychological states is constructed, and the subordination suitable for the evaluation of coal miners’ physiological and psychological states is given. Degree function. Using MATLAB2016a to randomly simulate 1000 sets of index data and perform evaluation and analysis, the results found that the proportions of evaluation as excellent and good are 36% and 35%, respectively; the proportions of neutral and poor are 16% and 13%, respectively. The evaluation of the physiological and psychological states of five coal miners in a coal mine in Shaanxi Province, with all results above “good”, is verified to be consistent with reality. Through simulation analysis and example verification, it is shown that the model is reasonable and applicable to the group of coal miners, and is expected to provide theoretical support for the development of subsequent rapid assessment software systems.
The Role of Deep Learning Method Based on Environmental Geochemical Data in Resource
Authors: Yao Pei
Published: March 2021

In recent years, with the continuous development of artificial intelligence, deep learning, as an important method of artificial intelligence learning, has made great progress. At present, deep learning has been successfully applied in many engineering fields. Environmental science itself involves a wide range, among which environmental geochemistry is an important branch. The combination of environmental geochemical problems and deep learning can better study the role of geochemical problems in environmental investigation, and also can use the basic situation of regional environmental elements to predict mineral resources.
Design and Analysis of Materials’ Environmental Compatibility
Authors: Cheng Zeng
Published: March 2021

The material should be in harmony with the environment during its life cycle. This article reviews the origin, concept, research status and application prospects of eco-environmental materials, discusses the environmental coordination evaluation methods of eco-environmental materials, discusses the principles and methods of environmental coordination design of various materials, and lists several typical examples of research on eco-environmental materials. It focuses on the separation and removal of impurities during the alloy regeneration cycle, as well as the organic polymer regeneration cycle technology. In this regard, this article conducts a series of analyses on the development trend of ecological environment materials.
Estimation of regional groundwater resources carrying capacity in Yangtze River Economic Belt
Authors: Liu Qiong , Li Ruimin , Yang Nan , Gao Mengmeng
Published: March 2021

It is of great significance to evaluate the groundwater resources carrying capacity, for understanding the basic situation of regional groundwater resource availability and utilization, establishing a monitoring and warning mechanism for resources and environment carrying capacity, and supporting the research oriented to national spatial planning. In this paper, groundwater resources carrying capacity is proposed based on analysis of the quantity, quality and ecological feature of groundwater in Yangtze River Economic Belt, an evaluation methodology is established respectively from background and status of carrying capacity. Results show that integrated carrying capacity is medium in this region. The number of cities with strong, medium-strong, medium, medium-weak, and weak integrated carrying capacity are 27, 28, 51, 15, and 8 respectively. Cities with strong and medium-strong integrated carrying capacity are mainly located in Middle-Lower of Yangtze River, Huang-Huai-Hai Plain and Sichuan Basin. Cities with medium-weak and weak integrated carrying capacity are mainly located in coastal areas of Jiangsu and Zhejiang provinces, Sichuan red layer area, north of Sichuan Plateau, and Jinsha River basin.
Design of Green Tax System Plan for China’s Automobile Products and Evaluation on Environmental Benefits
Authors: Huo Lulu , Huang Yonghe , Liu Kexin , Shi Hong , Liu Bin
Published: March 2021

The green tax system includes various taxation measures implemented for the purpose of environmental protection and has been widely adopted in developed countries. Based on the basic situation of China’s tax system for automobiles, this article proposes a green tax system plan for China’s automobile products from 2021 to 2035 in accordance with the basic principles of tax neutrality, environmental protection priority, tax system flexibility and orderly progress. In addition, this article uses the nested multi-logit model to predict the impact of the plan on the structure of vehicle market and finally conducts comprehensive evaluation on the environmental benefits of the plan by combining with the changes in energy consumption level, mileage of passenger vehicles, pollutant emissions of a single vehicle and other factors.
Emergency disposal and management of medical waste duringthe COVID-19 outbreak in China
Authors: Liu Liyuan , Wu Guanglong , Feng Qinzhong , Chen Yang
Published: March 2021

At the beginning of 2020, COVID-19 began to explode on a large scale around the world, with medical and health institutions around the world are facing great pressure. During this period, medical institutions that treat patients with COVID-19 will also generate a large amount of medical waste. If not handled properly, infectious viruses will enter the environment and cause secondary pollution and new epidemic. Wuhan was the first city to have a large-scale outbreak during the outbreak. In the early stage of the outbreak, the relevant competent departments of medical and health institutions and medical waste disposal agencies in China quickly and timely issued a series of technical guidelines and Management measures to control secondary pollution of medical waste during COVID-19. This article analysed the medical waste disposal capacity in Wuhan city, Hubei Province and China at 2020, which also introduce the medical waste treatment measures taken in China during the outbreak, hoping to provide technical reference for other countries.
Research on the tax support policy for implementing the Extended Producer Responsibility – Taking End-of-Life Vehicle Collecting and Dismantling Enterprises as an Example
Authors: Huo Lulu , Wang Jia , Huang Yonghe , Li Yuke , Pan Wei , Li Zhenbiao , Shi Hong
Published: March 2021

The Extended Producer Responsibility (EPR) is an important system for improving resource reuse rate and reducing waste pollution to the environment. Aiming at automobile products, this article takes end of-life vehicles collecting and dismantling enterprises as an example. By studying the support from tax support policy, tax incentives are provided to those enterprises that meet safety and environmental protection requirements. In this way, it can guide enterprises to improve safety and environmental protection and reduce corporate pressure from taxation. This article also predicts the effect of energy conservation and environmental protection after the implementation of tax support policy and demonstrates the importance of tax support policy of implementing the EPR.
Regional Agriculture Coupling Coordination Analysis Based on Sustainable Development: A Case Study of Sichuan, China
Authors: Deng Fumin , Jia Siyuan , Gong Qunxi
Published: March 2021

As a basic industry for national development, the development of agriculture will reduce food insecurity, get rid of resource dependence and achieve broader development. This paper constructs a four-dimensional measurement system of food production, economic development, ecological protection, and social progress by considering food security. Comprehensive agricultural development in Sichuan Province from 2004 to 2018 was evaluated by using improved entropy method and coupling coordination degree model (CCD). The study found that: (1) From 2004 to 2018, comprehensive development of the four subsystems in Sichuan agriculture are different, ecological protection (9.62%) > social progress (3.34%)> economic development (2.61%)> food production (-0.44%); (2) The comprehensive development level of agriculture in Sichuan Province had been continuously improved from 2004 to 2018, with obvious phase characteristics; (3) The coordination development among subsystems advanced in volatility, which is adjusted from the medium to the optimal level of coordination. Finally, based on the above conclusions, Sichuan agricultural sustainable development can be improved from the perspective of food production, economic development and social progress on the basis of ecological protection.
The Structure of Monitoring Node and Monitoring Center of Environmental Monitoring System
Authors: Li Yijie
Published: March 2021

The monitoring items shall be determined in a scientific and reasonable way according to the environmental monitoring standards and specifications, The purpose of environmental monitoring is to reflect the monitoring data of environmental monitoring system in real time, accurately and comprehensively. It provides scientific basis for environmental planning and macro decision-making. It makes the environmental monitoring system feasible and economical. Guided by the technical route of environmental monitoring, combined with the practical principle and priority monitoring principle, the comprehensive planning and reasonable arrangement are made. Environmental protection, scientific research and other purposes. Aiming at the monitoring node and monitoring center of environmental monitoring system, this paper analyzes the important position of environmental management and monitoring plan. This paper discusses the composition and structure of the monitoring system, in order to maximize the role of environmental management, reduce and mitigate the impact of monitoring projects on the ecological environment, and realize the sustainable development and operation of environmental system monitoring.
Horizontal-flow (HF) constructed wetlands for winery wastewater treatment: A review
Authors: Miao Yuhan
Published: March 2021

The winery wastewater starts to become a threaten to environment and ecosystem. Because constructed wetland has advantages of low cost, low maintaining fee and energy saving, there are more researchers use this technology to purify the winery wastewater. In this article, the horizontal flow constructed wetland will be mainly focused. By using this method, the N, P, organic matter, and other pollutants will be efficiently removed and reused in other phase, such like agricultural activities. The constructed wetland can also supply itself. By transfer the nutrition matter from wastewater and support its’ own plants’ energy.
Research on Plant Leaf Recognition Based on BP Neural Network
Authors: Lu Xiaolei , Qiu Jing
Published: March 2021

Aiming at the problems of single plant identification feature, complex algorithm and unsatisfactory recognition rate, this research proposes to use BP algorithm to establish a plant leaf identification model. This research pre-processed the image of plant leaves, and extracted 14 feature variables of the image, including colour features, shape features and texture features. Using SPSS 21.0 software to perform principal component analysis on the extracted 14 feature variables, the analysis obtained 6 the main ingredient. Using the recognition model to carry out a simulation experiment, the experimental results show that when the number of hidden layers of the model is 1, the number of hidden layer nodes is 6, the accuracy of model recognition is better, and the average accuracy of model recognition is 95.56%. From the analysis of model performance, the training accuracy and recognition accuracy of the model did not fluctuate greatly, and the graph changes relatively smoothly; when learning times is 400 times, the training and testing accuracy of the model reached more than 95%. It shows that the model has high accuracy and strong generalization ability, which provides reference for plant leaf recognition research.
Study on Dust Turbulence-Chemical Agglomeration for Electrostatic Precipitation Technology
Authors: Shan Gao , Li-chun Xiao
Published: March 2021

Due to the turbulent mixing between agglomeration agent and dust, the number of collisions per unit time between particles and droplets increases with the particle size in the process of chemical agglomeration, and the agglomeration efficiency increases accordingly. Turbulent agglomeration can promote the agglomeration effect of subsequent chemical agglomeration by strengthening the collision between particles and agglomerant droplets. The author used chemical agglomeration and turbulent mixing to cooperate in order to improve the efficiency of dust removal. Turbulent mixing can promote chemical agglomeration from agglomeration effect and dust removal efficiency, which can greatly improve electric dust removal technologyTurbulent mixing is the most intense at the inlet box position, and the agglomeration effect is the best. Turbulent mixing synergistic effect has an effect on dust removal efficiency. Compared with the three curves, it can be seen that the dust removal efficiency increases rapidly with the increase of agglomeration concentration, the curve trend changes obviously. The dust removal efficiency can reach 98.36 % and it is the highest in the middle section when the wind speed is greater than 11.2m/s. Through the experiment, the turbulent mixing and chemical coagulation method has a good application prospect in the electrostatic precipitators.
Novel Co/UiO-66 metal organic framework catalyst for oxygen reduction reaction in microbial fuel cells
Authors: Chen Zhenxin , Wu Qikai , Zhang Hongguo
Published: March 2021

To improve the power generation of microbial fuel cell (MFC), the cathode is modified to increase its oxygen reduction reaction (ORR) activity by using Co/UiO-66, which derived from pyrolyzing the mixture of Co(NO3)2 as the metal precursor incorporated with NH2-UiO-66. It was found that Co/UiO-66 (MOF-900) has been developed as a high-performance electrocatalyst for ORR at a pyrolysis temperature of 900 °C. Therefore, Co/UiO-66 should be a promising oxygen reduction catalyst for application in MFCs. This study provides technical and theoretical validation for the MFC performance improvement by ORR active MOF-derived catalysts modified cathodes.
Exploring the effects of CDK7 inhibition by YKL-5-124 on the molecular mechanisms and the ways it triggers cytokines production in Small Cell Lung Cancer in vitro
Authors: Chen Weining
Published: March 2021

The previous study has researched that combining YKL-5-124, CDK7 specific target drug with anti-PD-1 treatment had a survival advantage in various Small Cell Lung Cancer models. However, the molecular mechanism that YKL-5-124 triggers inflammatory response remains unknown. This study investigates the effects of CDK7 inhibition by YKL-5-124 on two DNA damage pathways (ATM and ATR) of SCLC in vitro. The result of this study will reveal the effects of CDK7 inhibition by YKL-5-124 on the molecular mechanisms of SCLC and potentially promote the development of new anticancer treatment strategies based on immunity manipulation.
Healthcare supply chain for China’s Belt and Road Initiative during COVID-19
Authors: Yao Ruili , Mei Fangyu , Wei Xue
Published: March 2021

COVID-19 paused people lives and recombine various industry operation system. The China’s Belt and Road Initiative have been intensively studied for their role in healthcare industry, the nations among them came together to defeat COVID-19 by building new healthcare system for protect public health condition. Pandemic periods inspect the previous healthcare supply chain system inefficiency in the operation situation matches with the current social development. This article compares the traditional healthcare supply chain management and novel one developing with the medical pandemic. Simultaneously, the new supply chain process illustrates the new pattern healthcare supply chain under COVID-19 in China’s Belt and Road Initiative countries. Taken together, the results of this article, potentially representing a novel healthcare supply chain developing process during pandemic in China’s Belt and Road Initiative.
Retracted article: SARS-CoV-19’s actual initial cases in Wuhan, China and the impact of different interventions and imports in the pandemic
Authors: Li Xiaochuan
Published: March 2021

We take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical publication computer-generated by the program SCIgen.
Research progress of EMT in Cancer Metastasis
Authors: Du Ruoyun
Published: March 2021

Cancer is still a deadly disease that haunts people. Once there is a malignant tumor, patients need to receive a series of expensive, complex and painful treatments. Even so, cancer still causes high mortality, for its ability to easily metastasizing to other organs, without effective cures for any kind of cancer so far. Therefore, researchers have been trying to explore its mechanism and find ways to inhibit its development and discover new cure from various aspects. The latest research found that Epithelial-Mesenchymal Transitions (EMT) may be related to cancer, especially in the metastasis. It can be a breakthrough finding that render cancer a curable disease. In this paper, we systematically introduce the definition, classification, mechanism, influencing factors of EMT and its relationship with cancer metastasis and provide new angles and ideas for further exploring all levels of signal pathways and cancer treatment.
Design and analysis of magnetic matrix screw based on green manufacturing concept
Authors: Lilin  , Wangbo  , Quanxiaofeng
Published: March 2021

Lead screws are the most commonly used transmission components in tool machinery and precision machinery, and are widely used in various industrial equipment and precision instruments. However, the screw tooth profile squeezes and friction causes the gear to break, tooth surface wear, tooth surface pitting and other damage, which reduces the service life of the screw; the use of a large amount of lubricants can not ignore the environmental impact. The design and research of this subject are based on the traditional ball screw mechanism, and based on the magnetic field force, the force transmission and state transformation can be realized without contact. It has significant advantages in terms of improving product service life and reducing pollution caused by lubricating fluid, which is in line with the trend of green and sustainable development. This paper analyzes the principle of non-contact magnetic matrix structure and transmission principle, and conducts finite element analysis on the parameters of screw thrust and torque. Finally, a non-contact screw experimental platform is designed to verify the screw thrust.
Research on the synthesis of chitosan@MIL-100(Fe)
Authors: Zurong Song , Ali Tao , Xuehua Feng
Published: March 2021

Objective: Studying new carrier materials to solve the problems of bioavailability and side effects of drugs in the body and choose the suitable carrier to coat the drug. This carrier not only improves the release and absorption of drug molecules in the body, but also significantly improves the bioavailability and reduces the toxic side effects of high concentrated drugs. Therefore, this paper focuses on the research of the synthesis of a new carrier material.

Methods:Using ferric nitrate as iron source, first add ferric nitrate, 1,3,5-benzene tricarbonic acid, chitosan solution and deionized water pro rata, then synthesize the product using mechanical stirring, and purify and dry the product.

Results:The maximum yield of chitosan is obtained when the concentration of chitosan is 1% using mechanical stirring method, and the yield is 0.6330 g.

Conclusion:The results show that the thinner the concentration of chitosan solution is, the better synthesizes the chitosan@MIL-100(Fe) and the higher the yield is. And it reaches the best result when the concentration is 1%.