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The purpose of this paper is exploring the effects of segment dynamic and temporal dynamic triggered by the COVID-19 pandemic on classifying service quality attributes, thereby formulating improvement strategies to satisfy customers and respond to threats.

Given the dynamics of the attractive quality theory, this paper designs a framework with four phases by embedding techniques of text mining and deep learning based on evidence from online reviews.

This paper figures out dynamics of service quality attributes for distinct segments and their dynamic proportion along with different stages of the pandemic. Another finding demonstrates segment dynamic and temporal dynamic effects of sentiments toward service quality attributes on customer satisfaction under the impacts of pandemic. Classification results and improvement strategies are derived for varying segments at different pandemic situations.

This paper reveals dynamic effects on classifying service quality attributes, which contributes to assisting hospitality practitioners from different segments in improving service quality when facing with the challenges of crisis and potential risks.

Given hospitality industry is time- and segment-sensitive, the authors achieve the quantification of dynamics of attractive quality theory and extend it into hospitality marketing and crisis management from the perspective of dynamics with evidence from online reviews.

Online reviews increasingly present the characteristic of bidirectional communication with the advent of Web 2.0 era and tend to be asymmetrical and individualized in linguistic information. The authors aim to develop a new linguistic conversion model that exploits the asymmetric and personalized information from online reviews to express such linguistic information. A new online recommendation approach is provided.

The necessity of new linguistic conversation model is elucidated, and a leverage factor is incorporated into the linguistic label of negative review to handle the asymmetry problems of linguistic scale. A possible value range of the leverage factor is studied. A new linguistic conversation model is accordingly established with an unbalanced linguistic label and a cloud model. The authors develop a new online recommendation approach based on several modules, such as initialization, conversion, user-clustering and recommendation models.

The unbalanced effect between negative and positive reviews is verified with real data and measured using indirect methods. A new online recommendation approach of electronic products is proposed and used as an illustrative example to prove the practicality, effectiveness and feasibility of the proposed approach.

Due to the unavailable transaction information of customers, the limitation of this study is the effectiveness of the authors’ established recommendation system for platform or website cannot be verified.

In most existing studies, the influence of negative review is counterbalanced by positive review, and the unbalanced effect between negative and positive reviews is ignored. The negative review receives much attention from consumers and businesses. This study thus highlights the influence of negative review.

This paper aims to study the effects of digital flipped classroom teaching method integrated cooperative learning model on learning motivation and outcome. From the perspective of promoting students’ learning engagement, this study puts forward suggestions for the effective implementation of flipped classroom teaching, so as to provide reference for the implementation of flipped classroom teaching practice in colleges and universities. Along with the time change and promotion of 12-year compulsory education, traditional didactic instruction can no longer satisfy all students. The reform wave in education is therefore emerged in past years, where the “flipped classroom” model strikes a chord and becomes a trend.

By applying nonequivalent pretest posttest control group design to the experimental research, 242 college students in Henan Province are selected as subjects of study. They are divided into four groups. The first group adopts the flip classroom teaching method. The second group adopts the cooperative teaching method. The third group adopts the flipping classroom teaching method integrated the cooperative teaching method. The fourth group (control group) adopts the traditional teaching method. The study lasted 15 weeks with sessions carried out 3 h a week.

The research results show significant effects of flipped classroom teaching method on learning motivation, flipped classroom teaching method on learning outcome, cooperative learning on learning motivation, cooperative learning on learning outcome, flipped classroom teaching method integrated cooperative learning on the promotion of learning motivation and flipped classroom teaching method integrated cooperative learning on the promotion of learning outcome.

First, on the basis of consulting the links of many teaching strategies and summarizing the experience of flipped classroom practice in famous universities, a series of teaching strategies is put forward. However, the pertinence of different subjects may be different, which requires teachers to focus on the specific practice of reference. Second, due to the limitation of time, the author spent more time and energy on the proposal part of strategy, and the scientific nature of the strategy is not verified in practice, so it needs to spend time and practice in the later stage to improve this work.

This topic is the integrated design practice and research of flipped classroom in current teaching. The practical significance of the research is to find a solution to the problem of low learning efficiency of students in traditional classrooms, so as to update teachers’ teaching concepts, change teaching methods and promote teaching behaviors. In flipped classroom, there is a systematic integrated design process before, during and after class, which can effectively improve teachers’ teaching design ability, help students change their learning methods and truly improve students’ learning efficiency and effectiveness. The research on the implementation of flipped classroom can enrich the theory of flipped classroom, including the research on the orientation of learning theory and the reorientation of the role of teachers and students. This study can provide theoretical support for the strategies and environment for the cultivation of students’ independent learning ability. The results of this study can provide a reference for improving the scientificity and diversity of research methods.

Based on the integrated design of flipped classroom before, during and after class, this research systematically explores the role of flipped classroom in cultivating students’ autonomous learning ability in the teaching of information science and technology, and studies how to maximize the role of flipped classroom in teaching to promote and help students’ learning. In addition, a special iterative method is adopted. In each round of research, according to the opinions of students and peers, the inadequacies and improvements in the last round of research is found, certain links are increased or decreased, and finally the research goals are achieved.

Pure 2,5‐dimercapto‐1,3,4‐thiadiazole (DMTD) disulfide dimer (DMS2) shows excellent four ball weld properties, however, the product is a solid material with relatively low initial seizure load and exhibits certain corrosion, which accelerate oxidation of the lubricant by catalytic effect on metals. The author make efforts to resolve problems said by design a novel thiadiazole complex.

The complex of thiadiazole dimmer and polyglycol (DMS2‐GL) was synthesized as ashless grease additive. The antiwear and load carrying properties of the additive and their synergistic effects was evaluated by four ball tester in four types of lubricant grease. Moreover, corrosion inhibiting properties of compositions said was investigated by copper corrosion test.

The additive DMS2‐GL possessed good load carrying capacity, and exhibits good synergistic antiwear and load carrying prop with rust inhibitor. In addition, dates obtained from copper corrosion test show that it does not corrode copper but coats the metal with a film, and could improve the anticorrosion of corrosive additives molybdenum dialkyldithiophosphate (MoDDP) and molybdenum dibutyldithiocarbamate (MoDTC) by forming protective films on rubbing surface, which contribute to improving corrosion inhibiting property of greases. Finally, the tribo‐chemical mechanism was proposed that thiadiazole dimer and polyglycol could coordinate with each other by polydentate surface interaction, which means thiadiazole rings interact with the metal surface, polyglycol affords a bridging technology linked thiadiazole dimmers so as to lighten loads and strengthen forces between thiadiazole dimmer moleculars.

This paper provides a good ashless additive which has good antiwear, extreme pressure and corrosion inhibiting properties, and fulfils an identified resources need, which can offer practical help in industrial applications and to an individual starting out on an academic career.

The purpose of this paper is to reduce the computational burden and improve the precision of the parameter optimization in the convection-diffusion equation, a new algorithm, the refined gray-encoded evolution algorithm (RGEA), is proposed.

In the new algorithm, the differential evolution algorithm (DEA) is introduced to refine the solutions and to improve the search efficiency in the evolution process; the rapid cycle operation is also introduced to accelerate the convergence rate. The authors apply this algorithm to parameter optimization in convection-diffusion equations.

Two cases for parameter optimization in convection-diffusion equations are studied by using the new algorithm. The results indicate that the sum of absolute errors by the RGEA decreases from 74.14 to 99.29 percent and from 99.32 to 99.98 percent, respectively, compared to those by the gray-encoded genetic algorithm (GGA) and the DEA. And the RGEA has a faster convergent speed than does the GGA or DEA.

A more complete convergence analysis of the method is under investigation. The authors will also explore the possibility of adapting the method to identify the initial condition and boundary condition in high-dimension convection-diffusion equations.

This paper will have an important impact on the applications of the parameter optimization in the field of environmental flow analysis.

This paper will have an important significance for a sustainable social development.

The authors establish a new RGEA algorithm for parameter optimization in solving convection-diffusion equations. The application results make a valuable contribution to the parameter optimization in the field of environmental flow analysis.

Molybdenum dithiocarbamate (MoDDC) has good antiwear and friction‐reducing properties in lubricants, and can be protected against thermo‐oxidative degradation. However, MoDDC‐containing lubricants may lose their ability to reduce friction over time, which may result from its concentration in oils below a critical concentration owing to oxidative degradation of MoDDC. Thus, in order to enhance the durability of the low friction performance of MoDDC, the paper aims to investigate good synergistic antioxidants with MoDDC.

The antioxidation properties of molybdenum dialkyldithiocarbamate (M 807) – and p,p‐dioctyldiphenylalmine (V 81) – or mixed octylated and butylated diphenylalmines (V 961)‐containing poly‐α‐olefin (PAO)‐derived lubricants were evaluated by differential scanning calorimetry (DSC) and modified penn state micro‐oxidation test (PMOT). DSC test measures incipient oxidation temperature (OT) and oxidation induction time (IT) of the lubricant at high temperatures and the oxidation stability of oil weight loss is measured by PMOT. Moreover, the oxidized samples were analyzed by Fourier transform infrared (FTIR) and electron spin resonance (ESR).

A DSC test shows that OT and IT of V 81‐ or V 961‐containing PAO were improved significantly by M 807 addition. A PMOT indicates that when combining with V 81 antioxidants, M 807 can also effectively reduce the increase in weight loss of PAO and deposits formed in oils. These results suggest that the M 807 shows a good antioxidative synergism with alkylated diphenylamine antioxidants. In addition, FTIR results from a PMOT confirm that the addition of M 807 can significantly enhance the oxidation IT of oils containing V 81 and inhibit formation of oxidation products including carbonyl bonds or hydroxyl group. ESR analysis from a PMOT indicates that M 807 may form stable radicals with arylamine by the coordination effect.

This paper provides simple and quick methods to evaluate synergistic antioxidation properties between different types of additives, and a mechanism of the inhibition involving a synergy was proposed. They can offer practical help in industrial applications and to an individual starting out on an academic career.

The purpose of this paper is to propose a new group decision‐making approach, which can only use simple mathematical calculations to perform a group decision‐making task.

The large column and large row (LCLR) method is designed and applied.

The paper finds four propositions to support LCLR methods to be a simple and effectual means for group decision making.

The aggregated matrix constructed in LCLR methods should be generated from non‐contradictory circles.

Effective group decision‐making results can be obtained by easily used methods, not necessarily by using complex mathematics technology to conduct the task.

The new approach based on LCLR methods proposed in this paper may be one of the most easily used and effective means for group decision making.

The purpose of this paper is to empirically examine the impact of institutional quality on the international tourism demand of India. To carry out the analysis, the study first analyses the impact of composite institutional quality index and then proceeds to examine the impact of each of the individual components of institutional quality on the international tourism demand of India. The impact of income of the tourist originating countries, tourism price, trade openness and Human Development Index (HDI) on tourism demand has also been examined.

The study employed panel autoregressive distributed lag (ARDL) model, with data from top 30 tourist originating countries for India for the period of 1995–2016.

The results indicated that an increase in the income of the tourist originating countries has spillover effects on the development of tourism sector of India. The impact of cost of travel proxied by relative prices between the destination and origin country is found to be negative, however, statistically insignificant. The impact of trade openness and development level of the host country (proxied by HDI) is found to have positive association with the tourism demand. Institutional quality is found to have positive association with international tourism demand of India. Among the individual components of institutional quality, rule of law, regulatory quality, control of corruption and voice and accountability are found to promote the tourism sector development in the economy. Contrarily, the impact of government effectiveness is found to be negative. In the short run, most of the variables were found to support their counterpart results in long run.

This study has practical implication not only in formulating tourism sector policies of the host countries but also for issuing tourist advisories in tourist originating countries. The study holds that policymakers should work for improving institutional environment of the country such as bureaucracy, legislature, regulatory quality, rule of law and for reducing corruption at all levels so as to ensure a sustained rise in tourist inflows to India.

This study validates the link between institutional quality of a country and international demand for its tourism. To the best of the authors' knowledge, the study is the first attempt that has comprehensively analysed the impact of institutional quality on tourism demand in Indian context which has been generally ignored in the tourism literature.