Mapping sidewalk accessibility with smartphone imagery and Visual AI: a participatory approach.

Evaluating sidewalk accessibility is conventionally a manual and time-consuming task that requires specialized personnel. While recent developments in Visual AI have paved the way for automating data analysis, the lack of sidewalk accessibility datasets remains a significant challenge. This study presents the design and validation of Sidewalk AI Scanner, a web app that enables quick, crowdsourced and low-cost sidewalk mapping.

Factors affecting injury severity in motorcycle crashes: Different age groups analysis using Catboost and SHAP techniques.

Objective: Motorcycle crashes often result in severe injuries on roads that affect people's lives physically, financially, and psychologically. These injuries could be notably harmful to drivers of all age groups. The main objective of this study is to investigate the risk factors contributing to the severity of crash injuries in different age groups.

Analysis of clinical outcomes and prognosis of patients with early bronchogenic lung cancer after treatment of rigid bronchoscopy combining fiberoptic bronchoscopy: a single-center retrospective study.

Objectives: To investigate the clinical value of rigid bronchoscopy combined with fiberoptic bronchoscopy in patients with early bronchogenic lung cancer who underwent sleeve lobectomy.

Methods: A retrospective study was performed on 76 patients with early bronchogenic lung cancer admitted to our center from March 2016 to March 2017. Patients in the control group received conventional sleeve lobectomy ( = 38), while patients in the observation group underwent sleeve lobectomy by using rigid bronchoscopy combining fiberoptic bronchoscopy ( = 38).

Evaluation of driver demand for in-vehicle information: An integrated method combining clustering and multivariate ordered probit model.

Introduction: The proper execution of driving tasks requires information support. While new technologies have increased the convenience of information access, they have also increased the risk of driver distraction and information overload. Meeting drivers' demands and providing them with adequate information are crucial to driving safety.

Value of IL-1β and IL-23 in Predicting 28-Day Mortality Due to Sepsis: A Retrospective Study.

BACKGROUND This research aimed to explore the utility of Interleukin-1ß (IL-1ß) and IL-23 as potential biomarkers for the diagnosis and prognosis of sepsis. MATERIAL AND METHODS This study included 74 adult individuals with sepsis, 45 ICU controls, and 50 healthy individuals attending routine physical examinations. IL-1ß and IL-23 levels were assessed and analyzed on the admission day.

Responses of JNK signaling pathway to the toxic dinoflagellate Prorocentrum lima in the mussel Perna viridis.

Diarrheic shellfish poisoning (DSP) toxins are widely distributed over the world, causing diarrhea, vomiting, and even tumor in human. However, bivalves, the main carrier of the DSP toxins, have some tolerant mechanisms to DSP toxins, though it remains unclear. In this study, we scrutinized the role of Jun N-terminal kinases (JNK) in tolerance of DSP toxins and the relationship between JNK, apoptosis and nuclear factor E2-related factor/antioxidant response element (Nrf2/ARE) pathways.

On the Impact of Prior Experiences in Car-Following Models: Model Development, Computational Efficiency, Comparative Analyses, and Extensive Applications.

A major shortcoming of the conventional car-following models is that these models only consider the current spacing and speeds of the target vehicle and its immediate leading vehicle, without taking into account prior driving actions, even for those from the same driver. In other words, the numerous prior experiences have no influence in predicting vehicular movements for the next time step. In this research, we propose a machine-learning-based data-driven methodology that is able to take advantage of the high-resolution historical traffic data in the current data-rich era, to predict vehicular movements in an accurate manner with high computational efficiency.

Up-regulation of Nrf2-dependent antioxidant defenses in Perna viridis after exposed to Prorocentrum lima.

It is well documented that diarrhetic shellfish poisoning (DSP) toxins have strong genetic toxicity, cytotoxicity and oxidative damage to bivalve species. However, these toxic effects seem to decrease with the extension of exposure time and the increment of the toxin concentration, the mechanism involved remained unclear, though. In this paper, we found that expression of the genes related to cytoskeleton and Nrf2 signaling pathway displayed different changes over time in the gill of Perna viridis after exposure to DSP toxins-producing microalga Prorocentrum lima.

Selfish routing equilibrium in stochastic traffic network: A probability-dominant description.

This paper suggests a probability-dominant user equilibrium (PdUE) model to describe the selfish routing equilibrium in a stochastic traffic network. At PdUE, travel demands are only assigned to the most dominant routes in the same origin-destination pair. A probability-dominant rerouting dynamic model is proposed to explain the behavioral mechanism of PdUE.

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction.

This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy. Spatiotemporal traffic dynamics are converted to images describing the time and space relations of traffic flow via a two-dimensional time-space matrix. A CNN is applied to the image following two consecutive steps: abstract traffic feature extraction and network-wide traffic speed prediction.

Inhibition of five natural products from Chinese herbs on the growth of Chattonella marina.

The effects of five natural products from Chinese herbs including evodiamine, curcumin, 4-methoxysalicylaldehyde, esculin hydrate, and gramine on the growth of Chattonella marina, one of the most noxious red tide algae, were observed. Among them, gramine exhibited the highest inhibitory rate with LC50, 96h of 0.51 mg/l.

[Effects of cholinergic anti-inflammatory pathway on ventilator-induced lung injury in rats].

Objective: To investigate the effects of cholinergic anti-inflammatory pathway on ventilator-induced lung injury (VILI) in rats.

Methods: Thirty-six healthy Sprague-Dawley (SD) rats were randomly divided into three groups: control group, in which rats did not receive ventilation; high-tidal volume (HVT) ventilation group; nicotine treatment (HVT+nicotine) group, in which rats received intraperitoneal injection of nicotine (2 mg/kg) 10 minutes before HVT ventilation; equal amount of normal saline was given to rats in other two groups. A rat model of VILI was reproduced by volume-controlled mechanical ventilation with HVT.