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This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs).

The most seminal and recent research in this area is reviewed. This study specifically focuses on two categories: CAV trajectory planning and joint intersection and CAV control.

It is found that there is a lack of widely recognized benchmarks in this area, which hinders the validation and demonstration of new studies.

In this review, the authors focus on the methodological approaches taken to empower intersection control with CAVs. The authors hope the present review could shed light on the state-of-the-art methods, research gaps and future research directions.

The purpose of this paper is to measure food loss and waste by material flow analysis (MFA) tool. Applying this methodology, the authors estimate wastage-related losses and discuss opportunities for more circular and sustainable practices in the Italian potato industry.

MFA is applied to two specific typologies as follows: ready-to-eat (chips) and dried potato products produced in Italy. The analysis refers to the year 2017 as the complete dataset useful for this study includes measurements until this year. A bottom-up and top-down mixed approach is applied, and functional unit refers to 1 t of potatoes consumed as final product.

MFA is applied to quantify and qualify material balance associated with 1 t of potatoes consumed as final product. In Italy, in 2017, more than 22,000 t of fresh tubers were lost, including 3,500–4,800 t of starch, equivalent to 52,800–72,600 GJs. Moreover, fewer than 23,000 t of skins and scraps were produced within industrial plants, not available for food but suitable for animal feed (dry skins are an excellent carbohydrates source in cattle and poultry feed), starch industry and bioenergy production (biogas and/or bioethanol).

This research is one of the few studies proposing MFA methodology as a tool to measure food waste. This analysis shows its utility in terms of food waste quality/quantity evaluation, supporting both company management and policymakers.

In human history, poverty for most and prosperity for few is the norm. Thus, no theory or practice of common prosperity has been developed. Marxism first formulated the theory of common prosperity, and the classical Marxist authors conducted theoretical exploration on the issue of common prosperity, forming a series of scientific conclusions.

The century-long practical history of the Communist Party of China (CPC) is the great practice of leading the Chinese people in getting rid of poverty, letting some people and regions get rich first and ultimately achieving the goal of common prosperity.

Common prosperity is the great practice of the CPC that leads all Chinese people in building a modern socialist country in an all-round way in the new era.

The path of common prosperity with Chinese characteristics will certainly arise in the process of the great practice of common prosperity with Chinese characteristics. Based on the anti-poverty theory and the “spirit of poverty alleviation” from the battle against poverty with Chinese characteristics, the theory of common prosperity and its spirit with Chinese characteristics will certainly be formed. The above conclusions constitute the basic principles of the theory of common prosperity with Chinese characteristics.