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Given the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to construct a grey system forecasting model with intelligent parameters for predicting provincial electricity consumption in China.

First, parameter optimization and structural expansion are simultaneously integrated into a unified grey system prediction framework, enhancing its adaptive capabilities. Second, by setting the minimum simulation percentage error as the optimization goal, the authors apply the particle swarm optimization (PSO) algorithm to search for the optimal grey generation order and background value coefficient. Third, to assess the performance across diverse power consumption systems, the authors use two electricity consumption cases and select eight other benchmark models to analyze the simulation and prediction errors. Further, the authors conduct simulations and trend predictions using data from all 31 provinces in China, analyzing and predicting the development trends in electricity consumption for each province from 2021 to 2026.

The study identifies significant heterogeneity in the development trends of electricity consumption systems among diverse provinces in China. The grey prediction model, optimized with multiple intelligent parameters, demonstrates superior adaptability and dynamic adjustment capabilities compared to traditional fixed-parameter models. Outperforming benchmark models across various evaluation indicators such as root mean square error (RMSE), average percentage error and Theil’s index, the new model establishes its robustness in predicting electricity system behavior.

Acknowledging the limitations of traditional grey prediction models in capturing diverse growth patterns under fixed-generation orders, single structures and unadjustable background values, this study proposes a fractional grey intelligent prediction model with multiple parameter optimization. By incorporating multiple parameter optimizations and structure expansion, it substantiates the model’s superiority in forecasting provincial electricity consumption.

The purpose of this work is to construct a grey entropy comprehensive evaluation model to measure the regional green innovation vitality (GIV) of 31 provinces in China.

The traditional grey relational proximity and grey relational similarity degree are integrated into the novel comprehensive grey evaluation framework. The evaluation system of regional green innovation vitality is constructed from three dimensions: economic development vitality, innovative transformation power and environmental protection efficacy. The weights of each indicator are obtained by the entropy weight method. The GIV of 31 provinces in China is measured based on provincial panel data from 2016 to 2020. The ward clustering and K-nearest-neighbor (KNN) algorithms are utilized to explore the regional green innovation discrepancies and promotion paths.

The novel grey evaluation method exhibits stronger ability to capture intrinsic patterns compared with two separate traditional grey relational models. Green innovation vitality shows obvious regional discrepancies. The Matthew effect of China's regional GIV is obvious, showing a basic trend of strong in the eastern but weak in the western areas. The comprehensive innovation vitality of economically developed provinces exhibits steady increasing trend year by year, while the innovation vitality of less developed regions shows an overall steady state of no fluctuation.

The grey entropy comprehensive relational model in this study is applied for the measurement and evaluation of regional GIV, which improves the one-sidedness of traditional grey relational analysis on the proximity or similarity among sequences. In addition, a three-dimensional evaluation system of regional GIV is constructed, which provides the practical guidance for the research of regional development strategic planning as well as promotion paths.

A comprehensive grey entropy relational model based on traditional grey incidence analysis (GIA) in terms of proximity and similarity is proposed. The three-dimensional evaluation system of China's regional GIV is constructed, which provides a new research perspective for regional innovation evaluation and expands the application scope of grey system theory.

The purpose of this paper is to colour aluminium pigment to the highest chroma using SiO₂ and organic silane with dichlorotriazine reactive dye and investigate its reaction mechanism, chemical stability and thermal properties to improve its applicability in surface coatings.

Aluminium pigment was encapsulated by the catalysed sol-gel method using SiO₂, followed by modification with γ-glycidoxypropyltrimethoxysilane (GPTMS). Purified reactive dye (1-Amino-4-[3-(4,6-dichlorotriazin-2-ylamino)-4-sulfophenylamino]anthraquinone-2-sulfonic acid (X-BR)) was covalently immobilized onto modified SiO₂ to obtain coloured aluminium pigment. The reaction mechanism, chemical stability and thermophysical properties were investigated by Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy, X-ray diffraction, scanning electron microscope, transmission electron microscope and thermogravimetric analyses (TGA).

The results showed that X-BR was covalently attached to modified Al/SiO₂ with maximum colour grafting of 95 per cent when the dosage of GPTMS and X-BR per weight of modified Al/SiO₂ was 25 and 15 per cent, respectively, at pH 8.5 and a temperature of 40°C. The coloured aluminium pigment had good chemical stability with excellent anti-migration properties in many solvents.

The organic silane used required a careful control of pH to ensure maximum colour grafting efficiency meanwhile other silanes with amine groups could also be used effectively with different kinds of colorants besides reactive dyes.

The method used is less cumbersome and provides a simple route to preparing coloured aluminium pigment.

The use of organic-inorganic SiO₂/γ- GPTMS with purified reactive dye to covalently colour aluminium pigment to the highest chroma is novel and will help advance the frontiers of knowledge on coloration of aluminium pigments.

The purpose of this study is to prepare nanoscale copolymer-silicon dioxide (SiO₂) dispersion for formulating textile printing white ink.

Nanoscale copolymer-SiO₂ dispersion was prepared via miniemulsion polymerization. The miniemulsion formulation was optimized for preparing stable SiO₂/O/W miniemulsion and nanoscale copolymer-SiO₂ dispersion. The nanoscale copolymer-SiO₂ was investigated by transmission electron microscope (TEM), X-ray diffraction (XRD), differential thermal gravity (DTG) and thermogravimetric analysis (TGA). The performance of white inks from this colorant was further investigated.

Nanoscale copolymer-SiO₂ had a core-shell structure with about 45 nm encapsulated copolymer layer when it was synthesized under optimal miniemulsion formulation 60 per cent mass ratio of styrene (St) to KH570-SiO₂, 5.0 per cent hexadecane to St and 2.0 per cent concentration of DNS-86. The nanoscale copolymer-SiO₂ white ink had high thermal and centrifugal stability with high purity and color fastness.

The miniemulsion polymerization conditions required a careful control before favorable results could be achieved.

The nanoscale copolymer-SiO₂ dispersion and white ink prepared by this method showed excellent stability. This research could accelerate the textiles inkjet printing application.

The reactive stabilizer DNS-86 is innovatively introduced into the miniemulsion polymerization to improve the stability of the nanoscale copolymer-SiO₂ dispersion. The white ink was formulated from nanoscale copolymer-SiO2 to improve the fastness of the printed fabrics.

Functional disorders caused by food intolerance (FI) are prevalent, thus it is important to analyze the FI of healthy people to common foods so as to guide the people for eating the healthy foods. The paper aims to discuss this issue.

In total, 88,436 healthy persons including 60,902 males and 27,534 females at the age ranging from 20 to 70 years old were subjected a normal physical examination. In total, 14 kinds of food-specific IgG antibodies were detected by enzyme-linked immunesorbent assay.

The total positive rate of 14 FIs was as high as 64.16 percent. Five kinds of foods (egg, crab, cod, shrimp and milk) accounted for 84.51 percent of the total positive rate. In more than one kind of FIs, egg took the largest proportion than the others and the proportion was 58.54 percent. The second was crab with a positive rate of 56.19 percent. The antibody positive rate of any food in one kind of FIs was significantly lower than that in more than one kind of FIs (χ²=629.35, p<0.001). Also, younger age subjects displayed the higher positive rate than the older age groups. In addition, there was no significant difference on FI between male and female subjects.

The results would not only prompt us to pay more attention to FI in daily life, but provide theoretical foundation for the early prevention, diagnosis and treatment of related clinical diseases as well as guiding people healthy meals.

This study aims to evaluate the use of polyoxyethylene lauryl ether (PLE) as a dispersant in the preparation of novel pigment dispersion with enhanced dispersion ability, which can find application in the printing industry.

To obtain a good dispersion, PLE was used as a dispersant in pigments dispersion. The colloidal and rheological properties of the PLE-based dispersion, such as particle distribution, zeta potentials and apparent viscosity were evaluated.

The particle sizes of the pigment dispersions were within the range of 150 to 200 nm. The measurement of zeta potentials varied between −24 to −32 mV, revealing a strong surface charge interaction between pigments and PLE. Subsequently, its stability to high-speed centrifuge and freeze-thaw treatment was carefully investigated. To demonstrate the coverage of pigment particles by PLE, thermogravimetric analysis was carried out. Moreover, X-ray diffraction was used to disclose the combined impacts of PLE and ultrasonic power on the crystal structures of the pigments. Finally, the coloring performance and leveling properties of pigment dispersions on cotton substrates were evaluated by measuring their K/S values (color strength), rub and color fastness properties, which possessed good results.

The dispersant used is incompatible with strong oxidizing agents and strong bases. More so, modification to improve its dispersion properties can be studied.

The use of PLE as a dispersant could be readily used in pigment dispersion processes and other suitable applications. PLE could also be used as a co-surfactant in synergy with other surfactants or dispersants in the dispersion process.

The use of PLE in pigment dispersion as well as investigating its coloring properties on cotton fabric is novel and can find various applications in the dying, printing and coating industry.

The labour turnover rate is in general 10 per cent in China. Although this rate is especially high for blue collar workers, fluctuation among qualified employees and managers is high as well. As a result, the economic development has led to high competition on the Chinese market. Moreover, companies also have to deal with lack of employees – especially highly qualified ones. The purpose of this paper is to figure out the impact of fringe benefits on the labour turnover rate of Chinese professionals.

The study subjects were 14 managers working for private companies in the Shanghai region. The authors conducted semi‐structured interviews as the primary data collection procedure to investigate reasons, opinions, and views about fringe benefits and employees' loyalty to their organisations.

The paper outlines highly diverse perspectives about fringe benefits. Furthermore, the authors show a series of reasons for labour turnover and motivators of Chinese professionals.

This paper contributes to the compensation literature by analyzing the relation between fringe benefits and loyalty of Chinese professionals. Moreover, it shows to what extent fringe benefits influence labour turnover in China. It also presents the preferred fringe benefits of employees in Chinese companies.

With frequent floods occurring, and the fast economic development in China, attention must be paid to flood prevention, water supply, and forecasting precision. In particular, mid‐ and long‐term runoff prediction is being paid more and more attention by researchers, and it is also the most difficult problem to solve. The purpose of this paper is to apply chaos phase space theory to forecast river run off.

Because the hydrologic system is a complicated huge system, there exist high non‐linear characteristics in the space‐time change of hydrologic factors. According to theory of chaotic phase space, the paper established four models of the single‐point, multi‐point, lineal, and three‐parameter D(m,τ,k) models, they have stronger non‐linear mapping function and much more information in the time series than traditional ways.

The results of calculation show that the models are highly effective and worthy of popularization and application. It is reasonable and superior to use these models in mid‐ and long‐term hydrologic prediction.

The method cannot reduce or eliminate the un‐prediction parts caused by the inner random factors, such as the noise information of the observed data.

The models are applied in the long‐term runoff prediction of Baishan reservoir.

The new approach of hydrology forecasting due to the theory of chaotic phase space. The paper is aimed at hydrology forecasting researches and engineers, especially those who dealt with the mid‐ and long‐term prediction.