On Fatigue Detection for Air Traffic Controllers Based on Fuzzy Fusion of Multiple Features

Fatigue detection for air traffic controllers is an important yet challenging problem in aviation safety research. Most of the existing methods for this problem are based on facial features. In this paper, we propose an ensemble learning model that combines both facial features and voice features and design a fatigue detection method through multifeature fusion, referred to as Facial and Voice Stacking (FV-Stacking). Specifically, for facial features, we first use OpenCV and Dlib libraries to extract mouth and eye areas and then employ a combination of M-Convolutional Neural Network (M-CNN) and E-Convolutional Neural Network (E-CNN) to determine the state of mouth and eye closure based on five features, i.e., blinking times, average blinking time, average blinking interval, Percentage of Eyelid Closure over the Pupil over Time (PERCLOS), and Frequency of Open Mouth (FOM). For voice features, we extract the Mel-Frequency Cepstral Coefficients (MFCC) features of speech. Such facial features and voice features are fused through a carefully designed stacking model for fatigue detection. Real-life experiments are conducted on 14 air traffic controllers in Southwest Air Traffic Management Bureau of Civil Aviation of China. The results show that the proposed FV-Stacking method achieves a detection accuracy of 97%, while the best accuracy achieved by a single model is 92% and the best accuracy achieved by the state-of-the-art detection methods is 88%

Highly Selective Transformation of Biomass Derivatives to Valuable Chemicals by Single-Atom Photocatalyst Ni/TiO2

Selective C-C cleavage of the biomass derivative glycerol under mild conditions has been recognised as a promising yet challenging synthesis route to produce value-added chemicals. Here, a highly selective catalyst is presented for the transformation of glycerol to the high-value product glycolaldehyde, which is composed of nickel single atoms confined to the titanium dioxide surface. Driven by light, the catalyst operates under ambient conditions using air as a green oxidant. The optimised catalyst shows a selectivity of over 60% to glycolaldehyde, resulting in 1058 μmol·gCat -1 ·h-1 production rate, and nearly 3 times higher turnover number than NiOx nanoparticle-decorated TiO2 photocatalyst. Diverse operando and in-situ spectroscopies (including operando XANES, in-situ XPS, O2 -TPD, EXAFS, etc.) unveil the unique function of the Ni single atom, which can significantly promote oxygen adsorption, work as an electron sink and accelerate the production of superoxide radicals, thereby improving the selectivity towards glycolaldehyde over other by-products. This article is protected by copyright. All rights reserved

ILT4 drives B7-H3 expression via PI3K/AKT/mTOR signalling and ILT4/B7-H3 co-expression correlates with poor prognosis in non-small cell lung cancer

AbstractImmunoglobulin-like transcript (ILT) 4 is critical for the inhibitory function of certain immune cells. We previously demonstrated that ILT4 is over-expressed in human non-small cell lung cancer (NSCLC) cells and is involved in tumour evasion via an unknown mechanism. In this report, we demonstrate that ILT4 increases the expression of the co-inhibitory molecule B7-H3 through PI3K/AKT/mTOR signalling. In primary human NSCLC tissues, a significant positive relationship is observed between ILT4 and B7-H3 expression. ILT4/B7-H3 co-expression is significantly associated with a reduction in T infiltrating lymphoid cells and lower overall survival. In summary, ILT4 increases B7-H3 expression and ILT4/B7-H3 co-expression may be involved in NSCLC progression

The Quality of Tuberculosis Care in Urban Migrant Clinics in China

This work is licensed under a Creative Commons Attribution 4.0 International License.Large and increasing numbers of rural-to-urban migrants provided new challenges for tuberculosis control in large cities in China and increased the need for high quality tuberculosis care delivered by clinics in urban migrant communities. Based on a household survey in migrant communities, we selected and separated clinics into those that mainly serve migrants and those that mainly serve local residents. Using standardized patients, this study provided an objective comparison of the quality of tuberculosis care delivered by both types of clinics and examined factors related to quality care. Only 27% (95% confidence interval (CI) 14–46) of cases were correctly managed in migrant clinics, which is significantly worse than it in local clinics (50%, 95% CI 28–72). Clinicians with a base salary were 41 percentage points more likely to demonstrate better case management. Furthermore, clinicians with upper secondary or higher education level charged 20 RMB lower out of pocket fees than less-educated clinicians. In conclusion, the quality of tuberculosis care accessed by migrants was very poor and policies to improve the quality should be prioritized in current health reforms. Providing a base salary was a possible way to improve quality of care and increasing the education attainment of urban community clinicians might reduce the heavy barrier of medical expenses for migrants.111 Project (Grant No. B16031)Laboratory of Modern Teaching Technology of the Ministry of EducationShaanxi Normal UniversityNational Natural Science Foundation of China (Grant No. 71703083)National Social Science Fund Youth Project (Grant No. 15CJL005)National Natural Science Foundation of China (Grant No. 71703084)National Natural Science Foundation of China (Grant No. 71473152)China Medical Board (Grant No. CMB-16-257)Knowledge for Change program at The World Bank (Grant No. 7172469

A human case of Dioctophyma renale (giant kidney worm) accompanied by renal cancer and a retrospective study of dioctophymiasis

Due to the rarity of human cases and the nonspecific clinical symptoms of dioctophymiasis, Dioctophyma renale infection is not well recognized and is easily neglected or misdiagnosed. Recently, we diagnosed a human case of dioctophymiasis accompanied by renal cancer. To enhance the understanding of human dioctophymiasis, this case is presented here, and a retrospective study of this disease was conducted based on relevant papers screened from PubMed and three Chinese databases. In the end, 32 papers describing 37 human cases of dioctophymiasis were assessed. These cases were distributed in ten countries of Asia, Europe, North America and Oceania, with the highest number in China (n = 22). The majority of the cases occurred in adults (91.9%, 34/37) and involved the kidneys (83.8%, 31/37). Ectopic parasitism mainly occurred in subcutaneous tissue (83.3%, 5/6). A proportion of 45.9% (17/37) of individuals had a history of eating raw or undercooked fish or frogs. The main clinical manifestations of human dioctophymiasis were loin pain (59.5%) and hematuria (59.5%). All the cases were diagnosed based on the morphological characteristics of eggs or adults in urine or tissue sections. Currently, there is no strictly defined therapeutic approach. This is the first retrospective analysis of human cases of dioctophymiasis. These review data will deepen our understanding of dioctophymiasis and help avoid misdiagnosis in clinical practice

The Biological Response to Nanometre-sized Polymer Particles

Recently, nanometre-sized UHMWPE particles generated from hip and knee replacements have been identified in vitro and in vivo. UHMWPE particles in the 0.1-1.0 µm size range have been shown to be more biologically active than larger particles, provoking an inflammatory response implicated in late aseptic loosening of total joint replacements. The biological activity of nanometre-sized particles has not previously been studied. The biological response to clinically-relevant UHMWPE wear particles including nanometre-sized and micrometre-sized, along with polystyrene particles (FluoSpheres 20 nm, 60 nm, 200 nm and 1.0 µm), and nanometre-sized model polyethylene particles (Ceridust 3615®), was determined in terms of osteolytic cytokine release from primary human peripheral blood mononuclear cells (PBMNC’s). Nanometre-sized UHMWPE wear particles, nanometre-sized Ceridust 3615® and 20 nm FluoSpheres had no significant effect on TNF-α, IL-1β, IL-6 and IL-8 release from PBMNC’s at a concentration of 100 μm3 particles per cell after 12 and 24 hours. The micrometre-size UHMWPE wear particles (0.1-1.0 μm) and 60 nm, 200 nm and 1.0 µm FluoSpheres caused significantly elevated osteolytic cytokine release from PBMNC’s. These results indicated that particles below circa 50 nm fail to activate PBMNC’s and that particle size, composition and morphology played a crucial role in cytokine release by particle stimulated macrophages

Особенности структуры живого напочвенного покрова и биологической активности лесных почв в условиях урбанизации

Branched octahydro-indenes were first synthesized with methyl isobutyl ketone (MIBK) and methyl benzaldehyde, which can be obtained from lignocellulose. Initially, C-14 oxygenates were prepared by the aldol condensation reaction of MIBK with methyl benzaldehydes. K2CO3/Al2O3 exhibited the highest activity among the studied solid base catalysts. On the basis of the characterizations, the outstanding activity of K2CO3/Al2O3 was comprehended, because this material has a relatively higher surface area and a larger base site concentration. Subsequently, the aldol condensation products were converted to branched octahydro-indene by hydrodeoxygenation over a Pt/C catalyst. This method is also applicable for the manufacture of C-11-C-13 polycycloalkanes with methyl benzaldehyde and other lignocellulosic ketones. According to our measurements, the polycycloalkanes obtained in this work have low freezing points (227.7 similar to 240.0 K) and high densities (0.857 similar to 0.944 g mL(-1)). Consequently, they may potentially be utilized to raise the volumetric heat values and/or the thermal stability of jet fuels

Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by diverse clinical features. EEG biomarkers such as spectral power and functional connectivity have emerged as potential tools for enhancing early diagnosis and understanding of the neural processes underlying ASD. However, existing studies yield conflicting results, necessitating a comprehensive, data-driven analysis. We conducted a retrospective cross-sectional study involving 246 children with ASD and 42 control children. EEG was collected, and diverse EEG features, including spectral power and spectral coherence were extracted. Statistical inference methods, coupled with machine learning models, were employed to identify differences in EEG features between ASD and control groups and develop classification models for diagnostic purposes. Our analysis revealed statistically significant differences in spectral coherence, particularly in gamma and beta frequency bands, indicating elevated long range functional connectivity between frontal and parietal regions in the ASD group. Machine learning models achieved modest classification performance of ROC-AUC at 0.65. While machine learning approaches offer some discriminative power classifying individuals with ASD from controls, they also indicate the need for further refinement

Regulation of Neuronal Cell Death by c-Abl-Hippo/MST2 Signaling Pathway

BACKGROUND: Mammalian Ste20-like kinases (MSTs) are the mammalian homologue of Drosophila hippo and play critical roles in regulation of cell death, organ size control, proliferation and tumorigenesis. MSTs exert pro-apoptotic function through cleavage, autophosphorylation and in turn phosphorylation of downstream targets, such as Histone H2B and FOXO (Forkhead box O). Previously we reported that protein kinase c-Abl mediates oxidative stress-induced neuronal cell death through phosphorylating MST1 at Y433, which is not conserved among mammalian MST2, Drosophila Hippo and C.elegans cst-1/2. METHODOLOGY/PRINCIPAL FINDINGS: Using immunoblotting, in vitro kinase and cell death assay, we demonstrate that c-Abl kinase phosphorylates MST2 at an evolutionarily conserved site, Y81, within the kinase domain. We further show that the phosphorylation of MST2 by c-Abl leads to the disruption of the interaction with Raf-1 proteins and the enhancement of homodimerization of MST2 proteins. It thereby enhances the MST2 activation and induces neuronal cell death. CONCLUSIONS/SIGNIFICANCE: The identification of the c-Abl tyrosine kinase as a novel upstream activator of MST2 suggests that the conserved c-Abl-MST signaling cascade plays an important role in oxidative stress-induced neuronal cell death

Smith-Waterman peak alignment for comprehensive two-dimensional gas chromatography-mass spectrometry

<p>Abstract</p> <p>Background</p> <p>Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC-MS) is a powerful technique which has gained increasing attention over the last two decades. The GC × GC-MS provides much increased separation capacity, chemical selectivity and sensitivity for complex sample analysis and brings more accurate information about compound retention times and mass spectra. Despite these advantages, the retention times of the resolved peaks on the two-dimensional gas chromatographic columns are always shifted due to experimental variations, introducing difficulty in the data processing for metabolomics analysis. Therefore, the retention time variation must be adjusted in order to compare multiple metabolic profiles obtained from different conditions.</p> <p>Results</p> <p>We developed novel peak alignment algorithms for both homogeneous (acquired under the identical experimental conditions) and heterogeneous (acquired under the different experimental conditions) GC × GC-MS data using modified Smith-Waterman local alignment algorithms along with mass spectral similarity. Compared with literature reported algorithms, the proposed algorithms eliminated the detection of landmark peaks and the usage of retention time transformation. Furthermore, an automated peak alignment software package was established by implementing a likelihood function for optimal peak alignment.</p> <p>Conclusions</p> <p>The proposed Smith-Waterman local alignment-based algorithms are capable of aligning both the homogeneous and heterogeneous data of multiple GC × GC-MS experiments without the transformation of retention times and the selection of landmark peaks. An optimal version of the SW-based algorithms was also established based on the associated likelihood function for the automatic peak alignment. The proposed alignment algorithms outperform the literature reported alignment method by analyzing the experiment data of a mixture of compound standards and a metabolite extract of mouse plasma with spiked-in compound standards.</p