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The purpose of this paper is to present an econometric model to empirically analyze the influence of production patterns and transaction style on raw milk quality. More specifically, the paper examines the effects of these institutions on both nutrition and safety aspects of raw milk quality.

Using data collected from 396 households in Inner Mongolia, this paper adopts a multiple linear regression model (OLS/FGLS) and a zero-inflated Poisson regression model to test two hypotheses proposed according to theory and descriptive analysis.

The empirical results indicate that both production pattern and transaction style significantly affect raw milk quality. Production pattern has a more significant effect on raw milk nutrition, while transaction style has a more significant effect on raw milk safety.

Current government policies focus on reducing household production and regulating private milk collection stations. From a comprehensive quality perspective, these policies are not effective in that they cannot guarantee raw milk safety and have little effect on improving raw milk nutrition. Alternatively, promoting dairy farmers' specialized cooperatives may be a more effective policy measure.

In contrast to other studies, this paper adopts a comprehensive quality perspective that examines both nutritional and safety characteristics rather than focusing on any single quality indicator, separately analyzing the factors influencing raw milk nutrition and raw milk safety. Therefore, the conclusion of this paper provides a new perspective in addressing the current raw milk quality problems facing China's dairy industry.

Improving the agricultural products market integration is conducive to developing provincial comparative advantage, optimization of agricultural and industrial organization and enhanced competitiveness. The relationship between the emergencies and the agricultural products market integration in the production and consumption provinces is of great significance for stabilizing market prices and improving the efficiency of agricultural resource allocation.

The authors reviewed the literature on the market integration of agricultural products. Then, they adopted a two-way fixed effect model to investigate the impact of emergencies on the poultry market integration in the production and consumption provinces in China.

Highly pathogenic avian influenza (HPAI) caused abnormal fluctuations in the poultry market price and decreased the poultry market integration. The negative impact of HPAI on poultry market integration was strengthened in the main production provinces and weakened in the main consumption provinces.

This is the first study that applies empirical analysis to identify the emergencies’ impact on the poultry market integration considering production and consumption characteristics. The results indicate that the impact of avian influenza is more serious in production provinces than in consumption provinces. Due to the heterogeneity of production and consumption provinces, the government implements precise compensation policies to resume production quickly after the disaster. It can be conductive to market integration and promote the development of agricultural products market.

This study aims to provide a time- and price-sensitive market strategy for merchants to handle the markdown price strategy. The market demand for perishable products is usually price – and quality (freshness) – sensitive. The proper handling of markdown-price strategies can help merchants enhance competitiveness and maximize operational performance.

A markdown strategy consisting of price and markdown time was developed to explore the properties of market strategies based on the dynamic quality evaluation. The strategy considers multiple price discounts and multiple markdown times. The optimal price decisions in each stage and the optimal markdown times were derived during the selling season.

The results showed the following. A retailer always raises the initial price if it wants to adopt multiple price-markdown strategies. A high initial price may lead to a high inventory at the early stage and bring the next price reduction in advance. Large price discounts can be used to reduce the inventory later. The higher the previous price, the shorter the interval between the next price reduction. The markdown strategies showed that the regular discount as a new business model is not the best pricing model for perishable products. A time- and price-sensitive strategy, however, can increase operational performance and provide new insights for perishable products.

The results showed the following. A retailer always raises the initial price if it wants to adopt multiple price-markdown strategies. A high initial price may lead to a high inventory at the early stage and bring the next price reduction in advance. Large price discounts can be used to reduce the inventory later. The higher the previous price, the shorter the interval between the next price reduction. The markdown strategies showed that the regular discount as a new business model is not the best pricing model for perishable products. A time- and price-sensitive strategy, however, can increase operational performance and provide new insights for perishable products.

Purpose: This study examines the effect of uncertainties on the hospitality industry from different perspectives across the globe. The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to analyse the current problems and uncertainties in the hospitality sector.

Need for the Study: The hospitality industry plays a significant role in the global economy with various services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study provides an overview of the most significant problems and challenges facing the hospitality industry today.

Methodology: A systematic literature review was conducted to identify and synthesise relevant studies on the effect of uncertainties issues on the hospitality industry. A systematic search of the Web of Science and Scopus databases was conducted to determine relevant studies published between 2010 and 2021. Studies were screened and selected based on pre-defined inclusion and exclusion criteria. A thematic analysis was performed to categorise the uncertainties and issues in the hospitality industry.

Findings: The study identified several uncertainties and issues facing the hospitality industry, including the pandemic uncertainties, financial crisis, whether positive and negative impacts, terrorism attacks on hotels and tourist places, uncertainties in government policies, situational risks like uncertainties, ambiguity, cultural differences, changes in tourist preferences and changing habits of the tourist.

In order not to affect the highway and railway traffic under the bridge during the construction process, bridges adopting swivel construction method are increasingly used at areas where the traffic is heavy. Previous studies are mostly conducted by assuming that the bridge is under its own stability conditions, without considering the impact of construction error, changes of external condition and wind-induced vibration on the stability of the bridge, which poses serious challenges to the bridge construction process. This paper aims to analyze the extent to which static load and fluctuating wind effect influence structural stability and to test the credibility of the structure.

A finite element calculation method is used to analyze a T-shaped rigid frame swivel bridge. A full bridge model was built, and a local model of the turntable structure established; the two are then combined means of node coupling. Subsequently, the three sensitivity indexes – deflection rate, stress change rate and the change rate of spherical hinges – are used to evaluate in what way the bridge stability is influenced under various factors.

It is found that the stability of the swivel bridge is quite sensitive to unilateral overweight, steel beam tension and wind-induced vibration effects but less sensitive to the change of bulk density. Also found is that the change of elastic modulus exerts some effects on deflection but has negligible effects on other stability indexes. Furthermore, the transverse unbalanced torque on the bridge generated by wind-induced vibration is an important factor in determining the size of the turntable, indicating that it is not just controlled by the weight of the bridge.

All factors affecting the stability of swivel construction are analyzed, and solutions to reduce the influence are proposed. The influence of wind-induced vibration effects on swivel construction is analyzed for the first time. It is pointed out that wind-induced vibration effects have great influence on the structure, and its influence could not be neglected.

This study aims to cover issues regarding traveling to a tourist destination which has seen war and terrorism. These problems can be addressed altogether, as they are interrelated. Based on tourists’ opinions, this paper aims to focus on measures or steps that can be taken to ensure changing their perceptions about a certain destination.

This study targets tourism experts for their opinions regarding the measures most necessary to change the perceptions of tourists. Their opinions were extracted through a questionnaire based on three criteria with four alternatives. Furthermore, raw data extracted are studied using the Fuzzy-VIKOR technique to rank the alternatives in order of importance. Moreover, the questionnaire also aims to know the perception of participants by asking them what would make them trust a destination with a history of terrorism.

The problems captivate the attention of government, guiding them to ensure that they need to focus more on physical security of tourists if they expect tourism industry to thrive. It was found that the steps needed to be taken are in the areas of international trade, cultural exchange programs and social media advertising.

Research based on improving tourist perception of Pakistan to develop Pakistan as a tourist destination is scarce. The study takes four different alternatives into account for image recovery and based on those alternatives, it provides a unique solution to the government in this regard with the necessary steps they need to take and attempts to help the government ensure tourism expansion in the country.

The purpose of this paper is to present an improved particle filter-based attitude estimator for a quadrotor unmanned aerial vehicle (UAV) that addresses the degeneracy issues.

Control of a quadrotor is not sufficient enough without an estimator to eliminate the noise from low-cost sensors. In this work, particle filter-based attitude estimator is proposed and used for nonlinear quadrotor dynamics. But, since recursive Bayesian estimation steps may rise degeneracy issues, the proposed scheme is improved with four different and widely used resampling algorithms.

Robustness of the proposed schemes is tested under various scenarios that include different levels of uncertainty and different particle sizes. Statistical analyses are conducted to assess the error performance of the schemes. According to the statistical analysis, the proposed estimators are capable of reducing sensor noise up to 5x, increasing signal to noise ratio up to 2.5x and reducing the uncertainty bounds up to 36x with root mean square value of as low as 0.0024, mean absolute error value of 0.036, respectively.

To the best of the authors’ knowledge, the originality of this paper is to propose a robust particle filter-based attitude estimator to eliminate the low-cost sensor errors of quadrotor UAVs.