Urban Railway Transit Timetable Optimisation Based on Passenger-and-Trains Matching – A Case Study of Beijing Metro Line

Due to the congested scenarios of the urban railway system during peak hours, passengers are often left behind on the platform. This paper firstly brings a proposal to capture passengers matching different trains. Secondly, to reduce passengers’ total waiting time, timetable optimisation is put forward based on passengers matching different trains. This is a two-stage model. In the first stage, the aim is to obtain a match between passengers and different trains from the Automatic Fare Collection (AFC) data as well as timetable parameters. In the second stage, the objective is to reduce passengers’ total waiting time, whereby the decision variables are headway and dwelling time. Due to the complexity of our proposed model, an MCMC-GASA (Markov Chain Monte Carlo-Genetic Algorithm Simulated Annealing) hybrid method is designed to solve it. A real-world case of Line 1 in Beijing metro is employed to verify the proposed two-stage model and algorithms. The results show that several improvements have been brought by the newly designed timetable. The number of unique matching passengers increased by 37.7%, and passengers’ total waiting time decreased by 15.5%

High photoresponse inverted ultraviolet photodectectors consisting of iridium phosphor doped into poly(N-vinylcarbazole) polymeric matrix

Highly sensitive inverted polymer ultraviolet (UV) photodectectors were fabricated by doping a phosphorescent material of bis[2-(4-tertbutylphenyl)benzothiazolato-N,C2′] iridium(acetylacetonate) [(t-bt)2Ir(acac)] into poly(N-vinylcarbazole) (PVK) polymeric matrix. Under the UV-260 nm illumination with an intensity of 0.7 mW/cm2, the device achieved a photocurrent of 11.37 mA/cm2 at −3 V, corresponding to a photoresponse of 15.97 A/W, which is 381% higher than the undoped device. Detailed analysis of photoluminescence, charge carrier transportation and film morphologies of PVK polymer active layers were carried out, and the enhanced UV absorption, formation of the triplet excitons and better charge carrier transport are ascribed to the improved photodectector performance

Weighted Complex Network Analysis of the Difference Between Nodal Centralities of the Beijing Subway System

The centrality of stations is one of the most important issues in urban transit systems. The central stations of such networks have often been identified using network to-pological centrality measures. In real networks, passenger flows arise from an interplay between the dynamics of the individual person movements and the underlying physical structure. In this paper, we apply a two-layered model to identify the most central stations in the Beijing Subway System, in which the lower layer is the physical infrastruc-ture and the upper layer represents the passenger flows. We compare various centrality indicators such as degree, strength and betweenness centrality for the two-layered model. To represent the influence of exogenous factors of stations on the subway system, we reference the al-pha centrality. The results show that the central stations in the geographic system in terms of the betweenness are not consistent with the central stations in the network of the flows in terms of the alpha centrality. We clarify this difference by comparing the two centrality measures with the real load, indicating that the alpha centrality approx-imates the real load better than the betweenness, as it can capture the direction and volume of the flows along links and the flows into and out of the systems. The empirical findings can give us some useful insights into the node cen-trality of subway systems

Uni3D: Exploring Unified 3D Representation at Scale

Scaling up representations for images or text has been extensively investigated in the past few years and has led to revolutions in learning vision and language. However, scalable representation for 3D objects and scenes is relatively unexplored. In this work, we present Uni3D, a 3D foundation model to explore the unified 3D representation at scale. Uni3D uses a 2D initialized ViT end-to-end pretrained to align the 3D point cloud features with the image-text aligned features. Via the simple architecture and pretext task, Uni3D can leverage abundant 2D pretrained models as initialization and image-text aligned models as the target, unlocking the great potential of 2D models and scaling-up strategies to the 3D world. We efficiently scale up Uni3D to one billion parameters, and set new records on a broad range of 3D tasks, such as zero-shot classification, few-shot classification, open-world understanding and part segmentation. We show that the strong Uni3D representation also enables applications such as 3D painting and retrieval in the wild. We believe that Uni3D provides a new direction for exploring both scaling up and efficiency of the representation in 3D domain.Comment: Code and Demo: https://github.com/baaivision/Uni3

Application status of cell models in clinical nutrition research

Traditional clinical nutrition research mostly stay at the stage of human and animal experiments. Cell model experiment has gradually become an important way in clinical nutrition research nowadays. Firstly, this review mainly summarizes the cells commonly used in nutrition research and gives a general introduction of diseases in clinical nutrition using cell models such as atherosclerotic cardio-cerebrovascular disease, sarcopenia, kidney diseases, tumor, gastrointestinal diseases, liver damage, allergic inflammation, burns and so on. Then it focuses mainly on the diseases which are the leading death causes of the Chinese residents, reviewing the use of cell models the advantages as well as their scientific significance and the development and application trend of cell model (3D cell, cytome, microfluidic, high throughput and high content). Finally, the limitations of cell model experiments in clinical nutrition are summarized, and new technologies used in cell model experiments of clinical nutrition are prospected