Search

Since the pilot water use statistics survey in Zhejiang Province in 2015, the list of water users in the province’s water use statistics survey has reached 7,899, with industrial and domestic direct reporting accounting for 94% of the total. By sorting out the problems and analyzing the causes in the implementation process of the water use statistics survey system, this paper proposes methods to improve the collection of water use data from public water supply enterprises, the backflow analysis of statistical direct reporting data, and the detailed rules for data review, as well as measures to solve problems. It also looks forward to the construction of a water index system that can predict economic changes and its application.

Wearable and stretchable strain sensors have received much attention because of their easy interaction with the human body. They are widely used in many fields, such as healthcare monitoring and human motion detection. Recent advances in the design and implementation of wearable and stretchable strain sensors and their application prospects are summarized herein. The research on sensitive strain sensors will be introduced herein first, which mainly involves the application of nanomaterials in the strain sensor. The remarkable properties of nanomaterials enable the carbon nanotube sensor to be embedded in socks, gloves, bandages, and other items that can be attached to the human body to accurately monitor various movements of the human body, including training, breathing, typing, and speaking. And then, we will focus on the application prospects of wearable strain sensors. With the development of the Times and the progress of science and technology, wearable strain sensors are gradually applied to various fields, especially in intelligent medical treatment, sports and fitness, and entertainment. Although the research on wearable strain sensor has produced considerable progress so far, it is still in the prototype stage, and wearable strain sensor still faces significant challenges in manufacturing a multi-functional integrated strain sensor. The research of this paper will be of great value to the study and application of wearable strain sensors.

Taking the steering block of mine shuttle car as the research object, a three-dimensional solid model of the steering block of mine shuttle car is established by SolidWorks. Based on ANSYS Workbench, the total deformation and stress of the steering block of Mine shuttle car under tension are obtained. According to the boundary conditions, the steering block is optimized by topology optimization, and the steering block is optimized by the results of topology optimization, and finally verified by static analysis. The results show that the mass of the optimized steering block is reduced by 11.7%. This study provides a reference for comprehensive performance analysis and optimization of Mine shuttle car steering block.

In order to study the influence of wind shear on the aerodynamic characteristics of large wind turbines, taking the 5MW wind turbine blade model published by NREL as the research object, large eddy simulation (LES) of wind turbines was carried out by using XFlow fluid simulation software based on Lattice-Boltzmann method (LBM). WALE turbulence model was used to study wind shear at 3, 11.2 and 25m/s wind speeds. The effect of factors on the axial thrust and torque of wind turbines is compared with the data published by NREL. The results show that the XFlow software based on LBM and LES method has good capturing ability for the eddy wake of wind turbine; wind shear causes the airfoil section of each section of blade to deviate from the best designed attack angle in theory and results in a decrease in torque applied to the wind turbine.

In order to solve the adverse effect that the lining of high groundwater level channels is prone to damage when subjected to heavy rainfall, the response law of internal structural state of high groundwater level channels under different rainfall conditions was studied. Based on the non-seepage seepage theory, the seepage pressure (total water head) in the tunnel under four different rainfall types is analyzed and studied. The results show that the most unfavorable rainfall types for the lining structure safety are the frontal rainfall and uniform type rainfall. Therefore we should pay more attention to the front type and uniform type rainfall from the perspective of seepage. The research results can provide reference for slope and seepage control design of high groundwater level channels.

Global change brings great uncertainty to the fragile ecological environment of arid area. In order to understand the driving role of climatic factors and socio-economic activity on changes, the distribution and change of vegetation in the Aral Sea basin were examined using data from remote sensing, population data sets from 2000 to 2015, transfer matrix, and the centre of gravity model. The salient results of the analysis were as follows. (1) Although the index increased slightly in the past 20 years overall, it fluctuated greatly over that time. From 2000 to 2015, the NDVI decreased in approximately 62% of the area; increased in 24%; and remained unchanged in 14%. (2) From 2000 to 2015, the geographic centre of the area under forest land to the northeast, marking the advancement of urbanization upstream. The geographic centre of grassland moved to the west. (3) The overall impact of precipitation on vegetation was greater than that of temperature. Areas showing a strong correlation were mostly concentrated in forest land; the impact of precipitation on grasslands was weak. (4) The distribution of vegetation was adversely affected by the increase in population and in GDP. The present study is of particular significance to the restoration and reconstruction of the Aral Sea basin ecosystem.

EDTA can complex with radionuclides (RNs) to form negatively charged complexes, making it difficult for clay minerals to retard the diffusion of RNs waste. The diffusion coefficient of RNs in water (Dw) is an important parameter for the safety assessment of the repository. In this study, the effectsof EDTA on the diffusion of metal ions (Cu2+, Sm3+, Nd3+, Lu3+ and Zn2+) were investigated by a capillary method. The experimental results showed that [Cu-EDTA]2-, [Sm-EDTA]-and [La-EDTA]-have higher Dw thanthe Mn+. Whereas, [Nd-EDTA]-and [Zn-EDTA]2- have lower Dw than Nd3+ and Zn2+ cations. The Dw is consistent with the literatures, indicating the validity of the capillary method to determine the diffusion coefficients. According to Stokes-Einstein relation, the ionic radius and ionic potential of the ion are in disproportional to the Dw value. Cu-, Sm-and La-EDTA complexes have smaller molecular size than the uncomplexed metal ions, indicating that the Mn+ ions might be associated with many water molecules to form hydrated ions with larger ionic radius. Whereas the [Nd-EDTA]-and [Zn-EDTA]2- have larger molecular size than Nd3+ and Zn2+ cations.

This paper intends to take power system planning as the main module, while considering the requirements and constraints of natural gas network and transportation network construction and use the energy hub model to analyse the energy transmission and transformation relationship between different networks, to realize the power system, natural gas network, and transportation. Integrated energy system planning for the network. To verify the effectiveness of the proposed PMIES planning method, an improved Garver test system is used for simulation. The system includes a 7-node natural gas network system and a 6-node electric test system. We optimized and analysed the simulated system for model research.

Large-scale passenger flows occur frequently during the peak hours of urban rail transit stations and on holidays. Thus, the timely and accurate early warning of impending large-scale passenger flows can positively impact the operational safety of the entire station. By further deepening the definition of passenger flow warnings in stations, a new model of urban rail transit station passenger flow based on system dynamics is constructed. The method of determining the key area of passenger flows in the early warning stage based on streamlines is proposed; the key indicators and thresholds affecting early warnings are studied. Finally, taking a typical station as an example, a station model is built using Anylogic software. The parameter sensitivity analysis is used to determine the impact of each key indicator on the passenger flow in the key area of the station early warning, and the reference threshold of each indicator is determined.

Eddy current sensor is an sensor based on eddy current effect. In practical engineering applications, the ambient temperature of eddy current sensor may be up to 135 ℃. The temperature drift of eddy current sensor magnifies the error of displacement detection. In this paper, the main factors that cause temperature drift are analyzed in detail, and the results show that the compensation based on single parameter can not meet the demand of high-precision measurement. For this reason, this paper proposes an external compensation method which applies mathematical fitting to realize compensation for temperature drift. The experimental results show that the measurement accuracy of the external compensation method reaches 0.25% in the working temperature range, which greatly improves the measurement accuracy of eddy current sensor under high temperature.

The code length of a source can be reduced effectively by using conditional probability distributions in a context model. However, the larger the size of the context model, the more difficult the estimation of the conditional probability distributions in the model by using the counting statistics from the source symbols. In order to deal with this problem, a hierarchical clustering based context quantization algorithm is used to combine the conditional probability distributions in the context model to minimize the description length. The simulation results show that it is a good method for quantizing the context model. Meanwhile, the initial cluster centers and the number of classes do not need to be determined in advance any more. Thus, it can greatly simplify the quantizer design for the context quantization problem.

In recent years, with the rapid development of mobile internet and the widespread application of online payment technologies, an increasing number of brick-and-mortar restaurants are willing to join food delivery platforms to provide consumers with new purchasing channels. However, for these restaurants, offering food delivery services represents both opportunities and challenges. On the one hand, introducing food delivery services can expand the market coverage of restaurants, providing consumers with more purchasing channels. However, due to the limited capacity of restaurant kitchens, an increase in demand may lead to overcrowding, thus prolonging consumer wait times. On the other hand, with the introduction of food delivery services, restaurants need to manage two sales channels simultaneously, each with its unique characteristics. Coordinating and managing product pricing between these two channels has become a challenge for restaurants. To address this issue, this study focuses on the dual-channel supply chain composed of a restaurant and a food delivery platform, aiming to maximize restaurant profits. The study examines the issue of restaurant pricing strategy selection and investigates the impacts of consumer waiting costs and consumer heterogeneity on restaurant pricing, demand, and profits. The results indicate that under a uniform pricing strategy, as consumer marginal waiting costs increase, the restaurant can alleviate congestion by raising food prices, resulting in a shift in demand from the dine-in channel to the delivery channel. However, this approach cannot alter the downward trend in restaurant profits. In contrast, under a differential pricing strategy, the restaurant's food prices are unaffected by consumer marginal waiting costs. However, we find that regardless of the pricing strategy adopted by the restaurant, as the proportion of tech-savvy consumers increases, the restaurant should raise food prices for both channels.

Heavy chromium pollution is a global sticky problem. In this study, an built-in proteomic and metabolomic method used to be used to look at the possible organic toxicity of Cr-contaminated answer based totally on an publicity scan with Penicillium janthinellum P1. The results showed that the high-Cr exposures resulted in cell injuries and signaling disturbances in P. janthinellum P1. Furthermore, Cr-contaminated answer triggered an amplify in glutamine and a sizable minimize in dimethylglycine, betaine and taurine, suggesting that the osmoregulatory metabolism of the P. janthinellum may additionally have been disturbed. The alteration of ATPase and mitochondrial associated proteins, combined with the upregulation of amino acids and carbohydrates, revealed that Cr contamination may disrupt the energy metabolism system. In addition, the secretory effects were confirmed by the upregulation of cytochrome P450 and deoxypodophyllotoxin, and the downregulation of penicillopepsin via proteomics. Therefore, dimethylglycine, glutamine, aspartate and cytochrome P450, all with remarkably alteration, were supposed to be selected as potential biomarkers of Cr contamination. This work assume to furnished new perception into the proteomic and metabolic toxicity of excessive Cr-contaminated area of interest in filamentous fungi, highlighted the mechanisms underlying toxicity and extended our knowledge of multi-omics jointly.

This paper characterised the potential of energy flexibility in relation to building envelop properties, heat emitters and ventilation for the Swedish context. Simulation results indicated that the potential was higher for newer houses with floor heating and lower for older houses with radiators in winter. Older houses with different levels of insulation showed a similar ability of conserving heat due to different extents of heat losses from ventilation. A house with balanced ventilation tended to be over-ventilated especially if the house was not airtight. The flexibility was decreased with increasing outdoor temperatures, and it was higher in winter and lower in spring/autumn.

Looking around the world, a new round of scientific and technological revolution and industrial transformation is developing in depth. The digital economy has become an important factor affecting global resource allocation, industrial structure, and the international division of labor. Promoting the development of the digital economy has become an important strategic direction for most countries. The digital economy is shining brightly in daily consumption, education, and other fields. This article uses macro, meso, and micro education to conduct a detailed analysis of the market structure and impact of the digital economy on daily consumption and education and discovers the electrification of digital consumption and digital education. The study found that the pain points of digital consumption include insufficient protection of consumer privacy, uneven quality of digital consumption, and insufficient supervision of digital consumption. The pain points of digital education are the difficulty in acquiring customers, the high cost of acquiring customers, and the need to improve teaching quality and rapidly expand the market. Conflicts and limited online teaching formats lead to low accuracy in performance testing.

Ye Mengde, a well-known Chinese poet and poetry critic in the Song Dynasty, advocated the concept of implicit naturalness in his work, Shilin Shihua (Shilin’s Remarks on Poetry). He emphasized that the use of allusions in poetic composition should not be far-fetched and demanded that words and sentences be refined and hammered. Based on Ye’s insights, Yang Wanli, another famous Chinese poet in the Southern Song Dynasty, further developed the theory. In Chengzhai Shihua (Chengzhai’s Remarks on Poetry), he proposed that the essence of poetry lies in “poems being concluded while the taste remains eternal,” paid attention to the skillful integration of idioms and allusions, advocated the importance of creating “stunning verses” in writing poetry, and practiced what he preached by actively engaging in poetic composition. He shattered the traditional conventions of the late Jiangxi School of Poetry, created the unique “Chengzhai Style” characterized by freshness and liveliness, and injected a vibrant “poetic taste” into poetry, enhancing the role of poetic composition theory in guiding poetry creation practices.

In view of the current domestic new economic form, under the trend of sustainable development, new energy industry has become a rising star. The development of new energy can improve the environment destroyed by the development of fossil energy to a certain extent. It is the primary task of environmental protection and energy development to study the specific relationship between China’s current carbon emissions, economic growth and the development of new energy industry. Based on STR model, we can empirically study the impact of carbon emissions on the development of new energy industry, analyze the nonlinear relationship, and propose relevant strategies to promote the development of new energy industry and pay attention to the coordinated development of energy consumption and environmental protection.

With the rapid development of economy in China, the pharmaceutical industry rises quickly. Although China’s higher medical vocational education develops fast, there are many problems in the current traditional teaching mode and curriculum system, which cannot meet the needs of students. How to reform the education mode under the background of informatization is becoming the focus of vocational education reform in recent years. In this paper, we discussed the teaching effectiveness of DQP framework, an international advanced talent training system of higher vocational education. We found that by choosing reasonable integration of teaching content, different teaching methods, it is in line with the requirements of the times. It facilitates the establishment of pharmacology curriculum standards, the organization of the compilation of pharmacology textbooks which contains the latest knowledge, the use of student-centered flipped classroom teaching mode to improve students’ autonomous learning ability, etc..

The Alpinia katsumadai Hayata Doukou, DK, is a traditional Chinese medicine that has shown superior anti-inflammatory property, which is widely used in the food and commodity industry. A network pharmacology analysis was performed to identify the potential anti-acne compounds, hub therapeutic targets, and the key pathways via TCMSP, BATMAN, CTD, PDB and PubChem databases. Finally, the “compoundtarget- pathway” network was constructed. The study found total 7 active compounds, including quercetin, (2R)-5,7-dihydroxy-2-phenylchroman-4-one, dehydrodiisoeugenol, (2R)-7-hydroxy-5-methoxy-2- phenylchroman-4-one, Pinocembrin, and 1,7-diphenyl-5-hydroxy-6-hepten-3-one alpinolide peroxide. In addition, 30 therapeutic targets, and 4 hub therapeutic targets of the DK were identified. The biological processes were primarily related to inflammatory response, response to oxidative stress, regulation of insulin secretion, etc. Which was significantly associated with ten pathways including the PI3K-Akt signaling pathways, VEGF signaling pathways, etc. Furtherly, the 4 hub targets AKT1, F2, AR, and PTGS2 with higher connectivity in PPI network were verificated though molecular docking, which once again proved that these targets are potential targets of their corresponding chemical molecules. Therefore, DK might have a synergistic effect on the anti-inflammatory effects via the various active compositions, targets and signaling pathways.

A sensitive and convenient method for the detection of epidermal growth factor receptor (EGFR) T790M mutation in non-small cell lung cancer (NSCLC) patients with acquired resistance to tyrosine kinase inhibitors (TKIs) would be desirable to guide treatment strategy. Consequently, studies have focused on sensitive characterization of EGFR T790M mutation. Herein, two methods of co-amplification at lower denaturation temperature PCR (COLD-PCR) and pyrosequencing were combined (COLDPCR/ pyrosequencing) for detecting EGFR T790M mutation. Evaluation of mutation-containing dilutions revealed that the sensitivities of COLD-PCR/pyrosequencing and conventional PCR/pyrosequencing assays for the detection of the T790M mutation were 0.1 and 5%, respectively, indicating a 50-fold increase in sensitivity. When the T790M mutation in 20 clinical NSCLC samples who had relapsed under firstgeneration EGFR TKI were further determined using COLD-PCR/pyrosequencing and conventional PCR/pyrosequencing, the detection rates were 35% (7/20) and 25% (5/20), respectively. All patients who were positive for the T790M mutation with conventional PCR/pyrosequencing were also found to be positive with COLD-PCR/pyrosequencing. The discordant cases were 2 samples with no T790M mutation detected with conventional PCR/pyrosequencing, but which were positive with COLD-PCR/pyrosequencing. COLD-PCR/pyrosequencing is a sensitive and cost-effective tool for detecting the T790M mutation which will permit an improvement of therapeutic management.

The relatively weak link in the current construction project management is the project investment control. There is often a lack of accurate investigation beforehand and the lack of real investigation data, resulting in the lack of authenticity of the investigation report, and it is difficult to calculate the investment spent on the project. Engineering projects are prone to investment risks and cause unnecessary losses. Construction project investment is related to the future development trend of the construction industry. In order to adapt to the development needs of the society, this article discusses current engineering projects from the four key aspects of project investment control—optimized design, good bidding, scientific management, and strengthening of audits. There are problems in the investment process, and the corresponding investment control strategies are discussed. The research conclusions show that these four key aspects play a very important role in engineering project investment control.

In this paper, the definition, characteristics, applications, wall materials and main preparation methods of microcapsules were described in details. At the same time, the mixed membrane microcapsules were prepared by solvent evaporation method with clarithromycin as model drug, ethyl cellulose and hydroxypropyl methyl cellulose as membrane materials. The optimal preparation conditions were explored, and the slow and controlled release properties of the mixed membrane microcapsules were investigated. The optimal preparation conditions of clarithromycin microcapsules were as following: the concentration of membrane material was 3%, the concentration of ethyl cellulose / hydroxypropyl methyl cellulose was 6:1-7:1, the dosage was 2:1-3:1, the concentration of SDS was 0.1%, the concentration of PVA was 1.0%, and the oil-water ratio was 1:8．

With the widespread attention of governments around the world on climate issues, carbon pricing-related policies have been gradually adopted by countries to deal with climate change. Among these policy tools, the carbon emissions trading system (ETS) is the most widely used. Carbon price plays a crucial role in this trading system, not only determining the trading activity, but also affecting the market stability. Therefore, carbon price prediction is so significant that we are motivated to study it. However, carbon price presents complex nonlinear dynamic characteristics, which makes some existing methods inaccurate. To address it, this paper combines empirical mode decomposition (EMD) and support vector machine (SVM) to predict carbon prices. The original carbon prices are signal-decomposed by using EMD and the decomposed signal is predicted by using SVM. Based on the EMD-SVM model, this paper conducts empirical analysis on the carbon prices of multi-ETS, including European Union ETS and China ETS pilots. The results of analysis show that the EMD-SVM model has better overall forecasting ability, and carbon prices forecasting performance of China ETS pilots is better than that of the EU ETS, while the short-term forecasting results of the model show the opposite conclusion. The proposed EMD-SVM model is advisable in carbon prices forecasting for market participants and regulatory authorities of multi-ETS.

The friction torque inside the high-speed spindle bearing determines the performance of the friction, wear, heat, temperature rise and life of the bearing. Aim to analyze the high-speed spindle bearing dynamic characteristics, considering the influence of cage and internal lubricating oil-film, a quasi-static improved model of high-speed spindle bearing was developed. And a new method for calculating the friction torque of the bearing based on the quasi-static improved model was put forward. Then the theory and experiment were validated systematically. The results show that the quasi-static improved model is correct, and the method of calculating the friction torque of high-speed spindle bearing based the quasi-static improved model is feasible and reliable.

3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid body motion. A 3D image reconstruction technique is proposed based on corner detection and edge contour feature extraction in this paper. Region scanning and point scanning are combined to scan rigid body moving object image. The wavelet denoising method is used to reduce the noise of the 3D image. The edge contour feature of the image is extracted. The sparse edge pixel fusion method is used to decompose the feature of the 3D image under the rigid body motion. The irregular triangulation method is used to extract and reconstruct the information features of the rigid body 3D images. The reconstructed feature points are accurately calibrated with the corner detection method to realize the effective reconstruction of the 3D images. The simulation results show that the method has good quality, high SNR of output image and high registration rate of feature points of image reconstruction, and proposed method has good performance of 3D image reconstruction.

Pressure stimulus causes skin deformation and tactile sensation on the fingertip. Both theoretical approach and experimental technique may be used to investigate the relationship between the deformation and the sensation. Building an appropriate skin model is the most important step for further theoretical and experimental analysis. In this paper, a two dimensional (2D) fingertip biomechanical model employing finite element (FE) method is proposed based on the physiological structure of skin. With biomechanical and electrophysiological simulations, the predicted distributions of the strain energy density (SED) and the stress/strain are obtained. The relation between the predicted biomechanical responses of the subcutaneous tissue and the discharged rate reported in the literatures are investigated. The results show that the soft tissues of fingertips are very sensitive to the external stimulus, and the spatial distribution characteristics of SED within soft tissues can explain the evoked charging rate of mechanoreceptors effectively. The simulation data of the proposed FE model is highly consistent with the verified data.

For investigating the effects of stimuli on the deformations within the soft tissues of fingertips and the dependence of the tactile sensation on the deformations under pressure, in this paper, a finite element model is developed, to simulate the procedure of a fingertip touching a sharp wedge. Characteristics of the strain energy density (SED) distribution within the soft issues are analyzed. Simulation results show that the soft tissues of fingertips are very sensitive to stimuli, and the spatial distribution characteristics of strain energy density within soft tissues can best explain the evoked charging rate of mechanoreceptors.

This paper compares the differences between the International Recommendation46 (IR46 for short) and the current national standards for electric energy meter of the accuracy classes, testing requirements, software protection and so on. The national meter adaptability of IR46 is analyzed, and a technical proposal of dual-core smart meter is advanced. This proposal could match the testing and software protection requirements for IR46, and could implementation in China.