This paper presents an information-fusion-based approach to the estimation of urban traffic states. The can fuse online data from underground loop detectors and global positioning system (GPS)-equipped probe vehicles more accurately completely obtain state than using either them alone. In this approach, three parts algorithms are developed for fusion computing processing GPS vehicles. First, a algorithm, which integrates federated Kalman filter evidence theory (ET), is proposed prepare...

This paper presents a systematic solution to efficiently estimate the traffic state of large-scale urban road networks. We first propose new approach construct exact GIS-T digital map. The map can lay solid foundation for estimation with data from Global Positioning System (GPS) probe vehicles. Then, we present following two effective methods based on GPS vehicles estimation: (1) curve-fitting-based method and (2) vehicle-tracking-based method. Finally, test proposed large number real...

Current research on traffic flow prediction mainly concentrates generating accurate results based intelligent or combined algorithms but ignores the interpretability of model. In practice, however, model is equally important for managers to realize which road segment in network will affect future state target a specific time interval and when such an influence expected happen. this paper, interpretable adaptable spatiotemporal Bayesian multivariate adaptive-regression splines (ST-BMARS)...

Although anterior and posterior decompression surgery are both reported to treat patients with myelopathy caused by ossification of the longitudinal ligament (OPLL). The surgical strategy disease is still controversial when OPLL multilevel severe. This present study reports preliminary clinical results a novel technique named controllable antidisplacement fusion (ACAF) for treatment multilevel-severe myelopathy. A series 15 cervical compression severe were enrolled. All underwent ACAF after...

Based on the big-data collected from Space-Air-Ground, i.e. Space means satellite, Air helicopter, key technologies of novel ITS (Intelligent Transportation System) are investigated, including data acquisition sensor, dynamic transmission, massive storage, multi-source fusion, mining and analysis, etc. On this basis, cloud computing platform is designed, Space-Air-Ground bigdata & transmission subsystem, platform, intelligent transportation application service subsystem. With help...

JOURNAL/nrgr/04.03/01300535-202408000-00034/figure1/v/2024-02-22T141052Z/r/image-tiff Spinal cord injury-induced motor dysfunction is associated with neuroinflammation. Studies have shown that the triterpenoid lupenone, a natural product found in various plants, has remarkable anti-inflammatory effect context of chronic inflammation. However, effects lupenone on acute inflammation induced by spinal injury remain unknown. In this study, we established an impact-induced mouse model injury, and...

Abstract Background As the lethal bone tumor, osteosarcoma often frequently occurs in children and adolescents with locally destructive high metastasis. Distinctive kinds of nanoplatform therapeutical effect precise diagnosis for are urgently required. Multimodal optical imaging programmed treatment, including synergistic photothermal-chemodynamic therapy (PTT-CDT) elicits immunogenetic cell death (ICD) is a promising strategy that possesses bio-imaging sensitivity accurate delineating as...

Spinal cord injury (SCI) results in significant neurological deficits, and microglia play the critical role regulating immune microenvironment recovery. Protein lactylation has been found to modulate function of cells. Therefore, this study aimed elucidate effects glycolysis-derived lactate on microglial its potential neuroprotective mechanisms via after SCI.

Accurate short-term traffic flow prediction plays a fundamental role in intelligent transportation systems (ITS), e.g. advanced management (ATMS). To generate accurate volume, nonparametric models have gained credit from quantities of researchers. On the basis common thought that future states can be predicted according to similar historical data, this paper presents novel nonparametric-model-based method predict volume. The applied model is classification and regression trees (CART) model....

Reducing travel time of emergency vehicles (EVs) has a potential in significant savings life and property. Integrating modern intelligent transportation system (ITS) with EV signal preemption seems to be solution. But existing systems often break the current coordination impact lot on normal traffic streams. In this paper we propose an vehicle (EVSC) approach, which is intended provide "green wave" for EVs. Traffic simulations are conducted along corridor 8 intersections Qingdao, China....

Summary Short‐term traffic flow prediction in urban area remains a difficult yet important problem intelligent transportation systems. Current spatio‐temporal‐based techniques trend aims to discover the relationship between adjacent upstream and downstream road segments using specific models, while this paper, we advocate exploit spatial temporal information from all available partial network. However, states can be high dimensional for high‐density networks. Therefore, propose...

Osteosarcoma is a devastating tumor of bone, primarily affecting adolescents. Parthenolide, naturally occurring small molecule that interferes with NF-κB signaling, has recently attracted considerable attention because its pharmacological action involving anti-cancer effects. However, the mechanism cytotoxic effect exerted by parthenolide on cells not clearly defined today.In this study, effects were evaluated and characterized in human osteosarcoma cancer cell. Cell viability was assessed...

Objectives To compare the clinical outcomes of anterior controllable antedisplacement fusion (ACAF), a new surgical technique, with laminoplasty for treatment multilevel severe cervical ossification posterior longitudinal ligament (OPLL) based on 2‐year follow‐up. Methods Clinical data 53 patients (21 by ACAF and 32 laminoplasty) who have accepted surgery myelopathy caused OPLL (occupying rate ≥ 50%) from March 2015 to 2017 were retrospectively reviewed compared between group group....

Multilevel cervical spondylotic myelopathy poses significant challenges in selecting optimal surgical approaches, warranting a comprehensive understanding of their biomechanical impacts. Given the lack consensus regarding most effective technique, this study aims to fill critical knowledge gap by rigorously assessing and comparing properties three distinct interventions, including anterior controllable antedisplacement fusion (ACAF), corpectomy decompression (ACCF), discectomy (ACDF). The...

In this paper, a GPS/GIS integrated system for urban traffic flow analysis is proposed. Urban GIS-T data are used to construct the GIS map of area when begins its work. Afterwards, real-time GPS probe vehicles periodically collected implement location amendment. And then, location-amended dynamically fitted with adaptive model. By using models, states ultimately estimated along rolling time periods. Compared conventional works, proposed successfully preserves continuity vehicle travels...

This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by Canny edge detection, thus smallest connected (rectangle) can be found. Then, binary information core obtained based on specific filter. After noises are removed, Binary Feature Histogram (BFH) proposed to describe characteristic defect. Finally, AdaBoost adopted classification. The classifiers designed BFH. Experiments with 800 bubble images 240...

Abstract Introduction Persistent neuroinflammatory response after cauda equina injury (CEI) lowers nociceptor firing thresholds, accompanied by pathological pain and decreasing extremity dysfunction. Histone deacetylation has been considered a key regulator of immunity, inflammation, neurological Our previous study suggested that valproic acid (VPA), histone deacetylase inhibitor, exhibited neuroprotective effects in rat models CEI, although the underlying mechanism remains elusive. Methods...

In this paper, we will introduce a fusion-based system composed of real-time traffic state surveillance. This can realize the estimation with over 10,000 bidirectional road sections, all links Shanghai urban network. The consists three modules: SCATS data processing (MS), GPS (MG), and Fusion Module (FM). MS, information collected by is converted into kind link-based spatio-temporal mean-speeds. Similarly, taxis'information also calculated for mean-speeds means GIS-T map in MG. spatio-...

This paper addresses an issue of short-term traffic flow prediction in urban networks with signals intersections. An effective spatial approach is proposed based on a macroscopic network model. In contrast other time series or spatio-temporal correlation methods, this research focuses the substantial mechanism vehicles transmission road segments and model entire network. Furthermore, employs simple speed-density fundamental diagram (MFD) to obtain more accurate vehicle travel link. Finally,...

A streamlined parallel traffic management system (PtMS) is outlined that works alongside a redesigned intelligent transportation in Qingdao, China. The PtMS's structure provides enhanced control and support, with increased versatility for use real-world scenarios.

Aiming to comply with the requirement of parallel-transportation management systems (PtMS), this paper presents a short-term traffic flow prediction method for signal-controlled urban networks (UTNs) based on macroscopic UTN model. In contrast other time-series-based or spatio-temporal correlation methods, proposed focuses more using substantial mechanism transmission in road and topology model entire UTN. Furthermore, approach employs speed-density fundamental diagram (FD) obtain accurate...