Lung cancer is the most commonly diagnosed cancer worldwide, and metastasis in lung cancer is the leading cause of cancer‐related deaths. Thus, understanding the mechanism of lung cancer metastasis ...will improve the diagnosis and treatment of lung cancer patients. Herein, we found that expression of cluster of differentiation 109 (CD109) was correlated with the invasive and metastatic capacities of lung adenocarcinoma cells. CD109 is upregulated in tumorous tissues, and CD109 overexpression was associated with tumor progression, distant metastasis, and a poor prognosis in patient with lung adenocarcinoma. Mechanistically, expression of CD109 regulates protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling via its association with the epidermal growth factor receptor (EGFR). Inhibition of CD109 decreases EGFR phosphorylation, diminishes EGF‐elicited activation of AKT/mTOR, and sensitizes tumor cells to an EGFR inhibitor. Taken together, our results show that CD109 is a potential diagnostic and therapeutic target in lung cancer patients.
CD109 promotes lung cancer metastasis through promoting EGFR‐AKT‐mTOR signaling and CD109 is an independent prognostic marker for lung adenocarcinoma.
•The thermal behavior of AlSi10Mg molten pool was analyzed.•The SLM-processed sample with a relatively low surface roughness was obtained.•Effects of parameters on surface topography of scan track ...were investigated.•Effects of parameters on microstructure of parts were investigated.•Optimum processing parameters for AlSi10Mg SLM was obtained.
This densification behavior and attendant microstructural characteristics of the selective laser melting (SLM) processed AlSi10Mg alloy affected by the processing parameters were systematically investigated. The samples with a single track were produced by SLM to study the influences of laser power and scanning speed on the surface morphologies of scan tracks. Additionally, the bulk samples were produced to investigate the influence of the laser power, scanning speed, and hatch spacing on the densification level and the resultant microstructure. The experimental results showed that the level of porosity of the SLM-processed samples was significantly governed by energy density of laser beam and the hatch spacing. The tensile properties of SLM-processed samples and the attendant fracture surface can be enhanced by decreasing the level of porosity. The microstructure of SLM-processed samples consists of supersaturated Al-rich cellular structure along with eutectic Al/Si situated at the cellular boundaries. The Si content in the cellular boundaries increases with increasing the laser power and decreasing the scanning speed. The hardness of SLM-processed samples was significantly improved by this fine microstructure compared with the cast samples. Moreover, the hardness of SLM-processed samples at overlaps was lower than the hardness observed at track cores.
Long short-term memory (LSTM) models provide high predictive performance through their ability to recognize longer sequences of time series data. More recently, bidirectional deep learning models ...(BiLSTM) have extended the LSTM capabilities by training the input data twice in forward and backward directions. In this paper, BiLSTM short term traffic forecasting models have been developed and evaluated using data from a calibrated micro-simulation model for a congested freeway in Melbourne, Australia. The simulation model was extensively calibrated and validated to a high degree of accuracy using field data collected from 55 detectors on the freeway. The base year simulation model was then used to generate loop detector data including speed, flow and occupancy which were used to develop and compare a number of LSTM models for short-term traffic prediction up to 60 min into the future. The modelling results showed that BiLSTM outperformed other predictive models for multiple prediction horizons for base year conditions. The simulation model was then adapted for future year scenarios where the traffic demand was increased by 25-100 percent to reflect potential future increases in traffic demands. The results showed superior performance of BiLSTM for multiple prediction horizons for all traffic variables.
Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks, while most current research efforts only focus on horizontal or near horizontal scene ...text. In this paper, first we present a unified distance metric learning framework for adaptive hierarchical clustering, which can simultaneously learn similarity weights (to adaptively combine different feature similarities) and the clustering threshold (to automatically determine the number of clusters). Then, we propose an effective multi-orientation scene text detection system, which constructs text candidates by grouping characters based on this adaptive clustering. Our text candidates construction method consists of several sequential coarse-to-fine grouping steps: morphology-based grouping via single-link clustering, orientation-based grouping via divisive hierarchical clustering, and projection-based grouping also via divisive clustering. The effectiveness of our proposed system is evaluated on several public scene text databases, e.g., ICDAR Robust Reading Competition data sets (2011 and 2013), MSRA-TD500 and NEOCR. Specifically, on the multi-orientation text data set MSRA-TD500, the <inline-formula><tex-math>f</tex-math> <inline-graphic xlink:type="simple" xlink:href="yin-ieq1-2388210.gif"/> </inline-formula> measure of our system is <inline-formula><tex-math>71</tex-math> <inline-graphic xlink:type="simple" xlink:href="yin-ieq2-2388210.gif"/> </inline-formula> percent, much better than the state-of-the-art performance. We also construct and release a practical challenging multi-orientation scene text data set (USTB-SV1K), which is available at http://prir.ustb.edu.cn/TexStar/MOMV-text-detection/.
Aims and objectives
This study investigated the factors of pressure injuries in patients in intensive care units (ICU).
Background
Pressure injuries among patients in ICUs can be prevented by the ...early assessment of risk factors and taking appropriate preventative measures.
Design
A retrospective study.
Methods
ICU patients who suffered from pressure injuries between January 2016 and August 2018 at a hospital in Taiwan were selected. Patient medical histories and data associated with pressure injuries and medical treatment were collected from electronic medical records. A total of 256 patients were included in our analysis. The study adhered to the STROBE checklist.
Results
A multivariate model of multinomial logistic regression analysis indicated that when compared to Stage 1 pressure injuries, Stage 2–4 pressure injuries were associated with albumin levels. Patients with lower albumin levels were at greater odds of Stage 2–4 pressure injuries than Stage 1 pressure injuries. In addition, when compared to unstageable pressure injuries or deep tissue injuries, Stage 1 pressure injuries were associated with the use of fentanyl and haemoglobin levels. Patients using fentanyl were more likely to suffer from unstageable pressure injuries, and those with lower haemoglobin levels were more likely to suffer from unstageable pressure injuries or deep tissue injuries.
Conclusion
When patients were simultaneously on ventilators and taking midazolam or fentanyl, the incidence of pressure injuries with greater severity became higher. Furthermore, ICU patients with lower albumin and haemoglobin levels were more likely to suffer from pressure injuries of greater severity.
Relevance to clinical practice
For critically ill patients on ventilators, it is recommended to devise a means of assessing each patient daily as well as systematically reduce their dosage of midazolam or fentanyl. Furthermore, regularly monitoring albumin and haemoglobin levels to understand their nutritional status is necessary.
Abstract
Sustainable freight transportation is one of the essential concepts in the smart city. Under this concept, many people connected with mobile devices produce location data and potential ...opportunities for transporting small objects in a more environmentally friendly and sustainable way. Crowdshipping, which utilises public people as transportation, is one of the terminal solutions in the last mile delivery scenario. Nevertheless, precisely assigning the delivery to the right crowd willing to accept the job is challenging because the solution space is too large to perform a full search. This article proposes a trajectory feature extraction algorithm and a task‐to‐crowd matching (T2CM) algorithm for coping with the job‐to‐crowd assignment problem. A simulation based on the real‐world dataset is conducted on three different scenarios to justify the outcome from our proposed method to the job assignment results.
Available inertia and variable droop responses from a wind farm to support the short-term frequency control in power systems are analytically evaluated. The novelty lies in the approach to ...formulating the inertia constant and primary power reserve for a variable speed wind turbine (VSWT) that operates at derated conditions. The formulations are extended to evaluate the capability of providing inertia and primary frequency support from a wind farm using an aggregated wind speed. As a consequence, the capability as a function of VSWT operating characteristics and conditions is quantified to rationally adjust the frequency controller gains, thereby ensuring stable performance of the wind farms during frequency transients. A modified system frequency response (SFR) model considering available inertial and droop responses from wind farms is developed to well simulate the SFR following wind power fluctuations. The effectiveness of the analytical method is verified through comparisons of the results with those obtained from the empirical method.
Optical control of structural and electronic properties of Weyl semimetals allows development of switchable and dissipationless topological devices at the ultrafast scale. An unexpected ...orbital-selective photoexcitation in type-II Weyl material WTe2 is reported under linearly polarized light (LPL), inducing striking transitions among several topologically-distinct phases mediated by effective electron-phonon couplings. The symmetry features of atomic orbitals comprising the Weyl bands result in asymmetric electronic transitions near the Weyl points, and in turn a switchable interlayer shear motion with respect to linear light polarization, when a near-infrared laser pulse is applied. Consequently, not only annihilation of Weyl quasiparticle pairs, but also increasing separation of Weyl points can be achieved, complementing existing experimental observations. In this work, we provide a new perspective on manipulating the Weyl node singularity and coherent control of electron and lattice quantum dynamics simultaneously.Photoexcitation in Weyl semimetals is recently reported to induce topological phase transitions useful for ultrafast switching devices. Here, the authors predict that the symmetry of the atomic orbitals comprising the Weyl bands in response to linear light polarization allows for not only annihilation but also separation of Weyl quasiparticles.
The 2018 Nobel Prize in Physiology or Medicine was awarded to Tasuku Honjo and James Allison for their discoveries in cancer immunology. Professor Honjo was awarded due to his discovery of the ...programmed death molecule-1 (PD-1) on T cells. Professor Allison discovered another important immunosuppressive molecule: cytotoxic T-lymphocyte antigen-4 (CTLA-4). Suppression of T cell activation by PD-1 and/or CTLA-4 is considered one of the major escape mechanisms of cancer cells. Inhibition of these molecules by immune checkpoint inhibitors can successfully activate the immune system to fight cancer. Checkpoint inhibitors have brought about a major breakthrough in cancer immunotherapy, reviving the hope of curing patients with end-stage cancer, including a wide variety of cancer types. In metastatic malignant melanoma, the previous long-term survival of only 5% can now be extended to 50% with anti-PD-1 plus anti-CTLA-4 combined treatment in the latest report. More checkpoint molecules such as lymphocyte-activation gene 3 and T cell immunoglobulin and mucin domain 3 are under investigation. The achievement of Drs. Honjo and Allison in cancer immunotherapy has encouraged research into other immune-pathological diseases.
This paper presents the development and evaluation of short-term traffic prediction models using unidirectional and bidirectional deep learning long short-term memory (LSTM) neural networks. The ...unidirectional LSTM (Uni-LSTM) model provides high performance through its ability to recognize longer sequences of traffic time series data. In this work, Uni-LSTM is extended to bidirectional LSTM (BiLSTM) networks which train the input data twice through forward and backward directions. The paper presents a comparative evaluation of the two models for short-term speed and traffic flow prediction using a common dataset of field observations collected from multiple freeways in Australia. The results showed BiLSTM performed better for variable prediction horizons for both speed and flow. Stacked and mixed Uni-LSTM and BiLSTM models were also investigated for 15-minute prediction horizons resulting in improved accuracy when using 4-layer BiLSTM networks. The optimized 4-layer BiLSTM model was then calibrated and validated for multiple prediction horizons using data from three different freeways. The validation results showed a high degree of prediction accuracy exceeding 90% for speeds up to 60-minute prediction horizons. For flow, the model achieved accuracies above 90% for 5- and 10-minute prediction horizons and more than 80% accuracy for 15- and 30-minute prediction horizons. These findings extend the set of AI models available for road operators and provide them with confidence in applying robust models that have been tested and evaluated on different freeways in Australia.
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