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Objective To explore the associated factors for quality of life in patients with progressive supranuclear palsy (PSP). Methods A total of 218 PSP patients were included from January 2012 to December 2019. Demographic and clinical data were collected. The quality of life was evaluated by the 39⁃Item Parkinson's disease Questionnaire (PDQ⁃39). The Progressive Supranuclear Palsy Rating Scale (PSPRS) was used to assess the severity of PSP related motor and non⁃motor symptoms, while the Non⁃Motor Symptoms Scale (NMSS) was used to elevate the non⁃motor symptoms, Hamilton Depression Rating Scale⁃24 (HAMD⁃24), Hamilton Anxiety Rating Scale (HAMA), Lille Apathy Rating Scale (LARS), Frontal Assessment Battery (FAB), and Montreal Cognitive Assessment (MoCA) were used. The Pearson and partial correlation followed by the multiple linear regression were used to explore the correlates of the PDQ⁃39 score. Results Correlation analysis indicated that the PDQ⁃39 score was positively correlated with disease duration (r=0.301, P=0.000), Charlson Comorbidity Index (CCI; r=0.147, P=0.031), levodopa equivalent daily dose (LEDD; r=0.225, P=0.001), and scores for the PSPRS (r=0.551, P=0.000), NMSS (r=0.484, P=0.000), HAMD⁃24 (r=0.515, P=0.000), HAMA (r=0.439, P=0.000) and LARS (r=0.476, P=0.000), but was negatively correlated with scores of FAB (r=⁃0.325, P=0.000) and MoCA (r=⁃0.355, P=0.000). Multiple linear stepwise regression model indicated that the PDQ⁃39 score was significantly associated with female (P=0.021), longer disease duration (P=0.026), higher LEDD (P=0.008), higher PSPRS score (P=0.000), higher NMSS score (P=0.002), higher HAMD⁃24 score (P=0.004), and higher LARS score (P=0.000). Conclusions Female, longer disease duration, higher LEDD, and more severe motor and non⁃motor symptoms contribute to the reduced quality of life in patients with PSP. Our study is beneficial to the clinical management of patients with PSP.

Urban intersection control mainly undertakes two tasks: traffic safety and traffic efficiency. Traditional intersection control models and methods have been insufficient in improving traffic efficiency, which is composed of the increase in traffic demand and the complexity of demand at present. In this paper, we propose a novel model and method called ATCM, which is based on the advanced technology of cooperative vehicle infrastructure. In this paper, a novel active traffic control model (ATCM) is proposed, which is based on the advanced technology of cooperative vehicle infrastructure. ATCM increases the intersection control model variables from the traditional two dimensions to five dimensions. It reshapes intersection control from the perspective of road designers and managers, so it can achieve more flexible and efficient traffic control. To this end, a multivariable active traffic control model is constructed, which includes road speed, lane control, sequence, phase, and green light time; a D-double layer optimization method is designed for this model. The first part of this optimization method combines speed control and dynamic phase sequence control. The second part is realized by the combination of lane control and dynamic phase sequence control. By conducting comprehensive experiments, the results demonstrate that the proposed approach is more flexible and efficient than traditional methods., Author(s): Li-li Zhang (corresponding author) [1,2]; Li Wang [2]; Qi Zhao [2]; Fang Wang [1]; Yadongyang Zhu [1]; Ling-yu Zhang [2] 1. Introduction The essence of traffic flow change is [...]

In this paper, we present a traffic cyber physical system for urban road traffic signal control, which is referred to as UTSC-CPS. With this proposed system, managers and researchers can realize the construction and simulation of various types of traffic scenarios, the rapid development, and optimization of new control strategies and can apply effective control strategies to actual traffic management. The advantages of this new system include the following. Firstly, the fusion architecture of private cloud computing and edge computing is proposed for the first time, which effectively improves the performance of software and hardware of the urban road traffic signal control system and realizes information security perception and protection in cloud and equipment, respectively, within the fusion framework; secondly, using the concept of parallel system, the depth of real-time traffic control subsystem and real-time simulation subsystem is realized. Thirdly, the idea of virtual scene basic engine and strategy agent engine is put forward in the system design, which separates data from control strategy by designing a general control strategy API and helps researchers focus on control algorithm itself without paying attention to detection data and basic data. Finally, considering China, the system designs a general control strategy API to separate data from control strategy. Most of the popular communication protocols between signal controllers and detectors are private protocols. The standard protocol conversion middleware is skillfully designed, which decouples the field equipment from the system software and achieves the universality and reliability of the control strategy. To further demonstrate the advantages of the new system, we have carried out a one-year practical test in Weifang City, Shandong Province, China. The system has been proved in terms of stability, security, scalability, practicability and rapid practice, and verification of the new control strategy. At the same time, it proves the superiority of the simulation subsystem in the performance and simulation scale by comparing the different-scale road networks of Shunyi District in Beijing and Weifang City in Shandong Province. Further tests were conducted using real intersections, and the results were equally valid., Author(s): Li-li Zhang (corresponding author) [1,2]; Qi Zhao [2]; Li Wang [2]; Ling-yu Zhang [2] 1. Introduction Advances in technologies such as optimization algorithm [1-3], vehicle-based collaboration, hybrid driving, autonomous [...]