Optimization of cold chain logistics distribution path considering traffic condition and replenishment along the way.

Road traffic congestion on the cold chain logistics not only increase the cost and time, but also creates certain negative impact on the national carbon emissions. To fully utilize the traffic resources, this study has classified urban road traffic congestion and defined the various vehicle delivery speeds with dynamic congestion levels. Simultaneously, it has developed the cold chain products replenishment strategy by considering delivery route, multi-depot condition and even vehicle types, aiming to minimize the total cost and carbon emissions, and maximizing the cold chain products freshness.

Analysis of Influencing Factors and Construction of Nomogram of School Bullying Suffered by Middle School Students in Beijing in 2022.

Purpose: School bullying has become increasingly serious among children, causing serious damage to their physical and mental health. Previous studies lacked data on bullying of middle school students in Beijing and rarely visualized the risks of bullying. This study investigated the situation and related risk factors of school bullying of middle school students in Beijing in 2022 and established a Nomogram prediction model to visualize the risk of school bullying for its prevention.

Risk Factors for Norovirus Outbreaks in Schools and Kindergartens - Beijing Municipality, China, July 2017-June 2022.

What Is Already Known On This Topic?: Norovirus is the leading cause of global acute gastroenteritis outbreaks. Norovirus outbreaks mainly occur in schools and kindergartens in China, always causing public health issues.

What Is Added By This Report?: Conditional logistic regression method was used to analyze the risk factors for norovirus outbreaks in schools and kindergartens, and found that students vomiting at school or kindergarten, case activity in public areas, and the first case's classroom less than 5 meters from toilets were risk factors.

Three-dimensional adaptive dynamic surface guidance law for missile with terminal angle and field-of-view constraints.

In this paper, an adaptive dynamic surface (DSC) guidance law for missile is designed to intercept the maneuvering target with field-of-view (FOV) and terminal angle constraints in three-dimensional(3D) space, and the missile autopilot dynamics is considered. Firstly, the time-varying transformation function related to line of sight (LOS) is used to replace the FOV constraints, transforming the process-constrained control problem into the output-constrained control problem. Meanwhile, the 3D coupled relative kinematics model considering missile autopilot dynamics and maneuvering target acceleration is established.