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Background The coronavirus disease 2019 (COVID-19) is an emerging infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Suspected cases accounted for a large proportion in the early stage of the COVID-19 outbreak. The deviation of the nucleic acid test by throat swab (the current gold standard of COVID-19) caused by variation in sampling techniques and reagent kits and coupled with nonspecific clinical manifestations make confirmation of the suspected cases difficult. Proper management of the suspected cases of COVID-19 is crucial for disease control. Case summary A 65-year-old male presented with fever, lymphopenia, and chest computed tomography (CT) images similar to COVID-19 after percutaneous coronary intervention. The patient was diagnosed as having bacterial pneumonia with cardiogenic pulmonary edema instead of COVID-19. This was based on four negative results for throat swab detection of SARS-CoV-2 nucleic acid using reverse transcriptase-polymerase chain reaction assay and one negative result for serological antibody of SARS-CoV-2 with the serological assay. Additionally, the distribution of ground-glass opacities and thickened blood vessels from the CT images differed from COVID-19 features, which further supported the exclusion of COVID-19. Conclusion Distinguishing COVID-19 patients from those with bacterial pneumonia with cardiogenic pulmonary edema can be difficult. Therefore, it requires serious identification.

Background: This study aimed to investigate whether and how high altitude-associated ambient hypoxia affects insulin sensitivity in mice fed a high-fat diet (HFD). Methods: Mice were randomly divided into a control group (with normal diet feeding and low-altitude housing), LA/HFD group (with HFD feeding and low-altitude housing), and HA/HFD group (with HFD feeding and high-altitude housing). Results: After 8 weeks, mice in the HA/HFD group showed improved insulin sensitivity-related indices compared with the LA/HFD group. In mice residing in a low-altitude region, HFD significantly impaired mitochondrial respiratory function and mitochondrial DNA content in skeletal muscles, which was partially reversed in mice in the HA/HFD group. In addition, the fatty acid oxidation-related enzyme gene CPT1 (carnitine palmitoyltransferase 1) and genes related to mitochondrial biogenesis such as peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α), nuclear respiratory factor 1 (NRF1), and mitochondrial transcription factor A (Tfam) were upregulated in the skeletal muscles of mice housed at high altitude, in comparison to in the LA/HFD group. Furthermore, AMPK (adenosine monophosphate-activated protein kinase) signaling was activated in the skeletal muscles, as evidenced by a higher expression of phosphorylated AMPK (p-AMPK) and protein kinase B (p-AKT) in the HA/HFD group than in the LA/HFD group. Conclusion: Our study suggests that high-altitude hypoxia improves insulin sensitivity in mice fed an HFD, which is associated with AMPK activation in the skeletal muscle and consequently enhanced mitochondrial biogenesis and fatty acid oxidation. This work provides a molecular explanation for why high altitude is associated with a reduced incidence of insulin resistance in the obese population.

Objective: The purpose of this study is to identify the effects of task-oriented training combined with scapular stabilization exercise on stroke...

Present work demonstrates the vertically double stacked nanosheet (NS) p-channel polycrystalline silicon (poly-Si) junctionless field-effect transistors (JL-FET) with tri-gate, omega-gate, and gate all around (GAA) structure. These structures offer more $\text{W}_{\mathrm{ eff}}$ per existing footprint and better parallel resistance, resulting in smaller total resistance. Also, the GAA stacked NS device shows superior electrical properties, including high Ion/Ioff ratio ( $> 10^{8}$ ), steep subthreshold swing (SS) = 100 mV/dec, very low drain-induced-barrier-lowering (DIBL) = 0.127 mV/V and usually off at Vg = 0 V, owing to superior gate controllability. More, the 3D TCAD simulation has applied for analysis of physical characteristics of the proposed devices.

Improvements to the current generation and distribution of electricity via demand side management (DSM) and storage systems are prevalent facing increasing energy demand and environmental implications of electricity generation. In this paper, a multi-level optimization model, which incorporates energy demand scheduler (DS), energy storage (ES) and solar photovoltaic (PV) panels amongst households, was developed so as to lower the peak-to-average ratio (PAR) of energy demand and reduce electricity bills. This model consists of three levels: (1) household consumption optimization (solo opt) using convex programming, (2) grid consumption optimization (base opt) via a game-theoretic framework, and (3) ES/PV allocation optimization using genetic algorithm (GA opt). This framework searches for the optimal allocation of ES/PV in a heterogeneous residential population subdivided into consumer groups by household sizes and income levels. A case study was performed with model parameters determined by referencing state-averaged electricity bills and electricity usage data from Texas, US. The results showed that GA opt can achieve bills savings of ~11% and a PAR reduction from 1.53 to 1.30 by allocating a non-trivial optimal combination of ES/PVs to the households. Another GA opt approach was adopted by minimizing PAR and found that PAR can be effectively reduced from 1.53 to 1.00 with bills savings of ~4%. Most significantly, it was observed that the optimal allocation differs from the free market equilibrium due to positive externalities and synergies when combining DSM together with ES/PVs.

With the development of deep learning and image technology, the deep convolutional neural network has been widely used to deal with image problems. In this paper, the pretrained vgg-19 convolutional network model is adopted to extract and define the loss function according to the image characteristics, and preset model parameters. The model training is completed through reverse propagation gradient descent and optimization iteration, finally, the artistic painting style conversion of photos is realized. At the same time, by adjusting the size of style weight and content weight, the output image is more inclined to the style picture, or more inclined to the content picture. Finally, the objective evaluation of the output image is has been completed by comparing the image style conversion results of the TensorFlow and the PyTorch. The results show that under the same iteration times, the PyTorch framework has relatively small computation, fast processing speed, and better image color retention effect, in contrast the TensorFlow frame retains more features of style images.

This work demonstrates the double-stacked nanosheet (NS) p-channel vertically junctionless field-effect transistors (VJ-FET) with gate all around (GAA) structure. The stacked NS device shows superior electrical properties, including high Ion/Ioff ratio $(> 10^{8}$ , subthreshold slope (SS) $=100\mathrm{mV}/\mathrm{dec}$ , and normally off at $\mathrm{Vg}=0\mathrm{V}$ . More, this work also discusses three different gate structure in electrical properties. The 3D TCAD simulation is applied for analysis of physical characteristics of the proposed devices.

Introduction:Ambulance response time (ART) has an inseparable relationship with mortality rates and therefore is important to be reduced. However, an unprecedented increase in road traffic congestion has led to longer ART, especially during peak hours. To reduce ART despite congested traffic, a pre-dispatched ambulance is deployed at hotspot locations during peak hours. This study aims to determine if the hotspot strategy is able to reduce ART in an Urban Emergency Medical Services system.Methods: This is an intervention study at the Emergency and Trauma Department, Sabah Women and Children Hospital (SWACH). Since January 2017, ambulance temporally stations were set up at two hotspot locations. The pre-dispatched ambulance is deployed at hotspots during peak hours (8 – 10 a.m., 4 – 6 p.m.). Information on ambulance runs departed from mobile locations was collected from January to December 2017. Ambulance runs which departed from the hospital in the year 2016 were taken as the control group. A total of 312 runs were enrolled, only runs during peak hours on weekdays were included. The main outcome measure is ART. Mann-Whitney test was used to compare the response time of ambulance runs before and after the establishment of the hotspot strategy. Results:Results show a significant decrease in average ART from 17.31 minutes to 12.23 minutes with the hotspot strategy. When separated, both pre-travel delay times and travel times experienced significant reduction of 2.35 minutes and 2.75 minutes respectively. Meanwhile, travel distances show no significant difference between pre- and post-strategy periods (p = 0.196). Conclusion:The present study shows that the hotspots strategy has successfully reduced ART at SWACH. However, the “ping” time problem from the GPS detection could affect the accuracy in calculating the travel distances. Further studies are suggested to overcome the “ping” time to increase the accuracy level. Overall, this study ascertains the potential benefits of ambulance hotspot strategy

In the era of big data, the hybrid storage platform with structured data, semi-structured and unstructured data is the fundament of data analysis. The classical method of data processing system extensions requires high cost, and Hadoop and MapReduce does not perform well in real-time analysis. First, we propose a data access method in hybrid storage architecture, then we propose a solution of hybrid storage based on Hadoop, it includes the exchange platform of HDFS data, multi-node management control structure, and a method of file transfer based on FTP, etc. According to our experimental results, the solution of hybrid storage we proposed improve the efficiency of data exchange, enhance the performance and reliability of Hadoop cluster.

This project presents a vision based position control for Vertical Take-off and Landing (VTOL) to recognise a singular landmark for landing and take-off. Position control can provide safe flight and an accurate navigation. The circle landmark which used is an artificial landmark at known locations in an environment. Initially, a camera mounted on VTOL facing downward detecting landmarks in environments. A single circle used as landmark and VTOL will be control the position to reach the landmark. The images from the down-looking camera provided vision data to estimates position of VTOL from landmark. A mathematical method based on projective geometry using to locate VTOL on desired landmark from projected point in capture image. By compute the x-y coordinates of the VTOL with respect to landmark, height of camera above landmark will be obtained. VTOL can localize itself in known environment with pose estimation from landmark. The graphic user interface system (GUI) generate by MATLAB software is used to communicate with VTOL to control the VTOL position

The product design can not just stay on the surface of the form, but should be based on extensive scientific perspective and a more rigorous research methods to interpret and interpretation. Like other disciplines, Kansei engineering to some extent, as a continuation of ergonomics, and gradually improve and expand ergonomics theory and method to make it continue to develop and improve, so rational use of ergonomics and Kansei Engineering related methods to support the industrial design of the unconscious a scientific way. Based on Kansei engineering concepts and research status correlation analysis, and Kansei engineering and ergonomics relations were discussed, and finally by way of example confirms the Kansei engineering to industry influence, Kansei engineering approach just for today is designed to provide a scientific, theoretical design approach, with its unique sense of pleasure brought to guide industrial design more scientific and comprehensive study.

VOCs was one of main air pollutants. Fenton reaction was concerned because of its oxidation, high speed and high efficiency. In this paper, the Fenton reagent combined with UV was used to purify acetone gas, and the effect factors was studied. The results showed that the removal efficiency of acetone gas was highest, up to 90.2%, when pH value was about 3, oxidation reduction potential was 480mV. The removal rate of acetone gas increased nearly 5% when UV was added on Fenton reagent. Introduction Volatile organic compounds (VOCs) were the common air pollutants emitted by the petroleum and chemical industry which affect public health and welfare owing to their toxicity potential, carcinogenicity and stability . Recently emission control of VOCs has become a major concern in air pollution prevention. Treating effluent gas including VOCs to harmless level is an arduous process . Therefore, the treatment and recovery of VOCs were paid more attentions in the world. The control technologies of VOCs are usually divided into oxidation method, biological method ,absorption method, adsorption method and Plasma method [6] and so on. Because VOCs have the characteristics of wide sources and complex components, so in the practical application, single technology is usually difficult to achieve VOCs effective purification, so the combined technology has become the current developing direction. Chemical oxidation is concerned because of its oxidation, high speed and high efficiency . The Fenton reagent is firstly applied in waste-water treatment, which is one of the advanced oxidation processes, is recognized as a powerful photo-catalytic degradation technology . Now days, the photo-Fenton reaction has been extensively studied. It may offer a promising technology even in the effluent gas treatment for VOCs owing to its greater efficiency . In this paper, acetone gas was selected as objective VOCs pollutant, Fenton reagent was used to oxidate acetone; the combination method of the absorption with chemical oxidation was studied.

With the development and advancement of technology, innovation and support the development of new product design is inseparable from the concept and methods of industrial design, industrial design not only has become an important means of market competition, but also become the country with the economy powerful weapon development. This paper discusses the development of industrial design disciplines to analyze the computer-aided industrial design (CAID) the basic meaning and value, and through man-machine engineering design and creative thinking intelligent technology applications in the study of CAID, will make the final interpretation of the industrial design CAID grand blueprint towards a more diversified and high-level areas continue forward.

This article aims to analyze the interaction and human-computer interaction interface, and relying on Kansei engineering theory, make the analysis for the design of man-machine interface and how to better. This paper puts forward three aspects to consider ergonomics to embody the role of user interface design, fully confirms the "people-oriented" is the source of product design and user experience, can be solved by the met in the design field, in order to improve and optimize the machine and user interface of human-computer interaction, the better and more efficient. In the course of development of the society, human and social relations more closely, technology is also more and more intense challenge for human. [1] For the design of user interface, the material is caused by mechanical industrial production in large quantities of. Industrial production continued to stimulate the generation and development of the industrial society, social mass production technology as the center gradually as a measure of social progress bar. The quantity and quality of material satisfaction as the industrialized society, fully reflect the people's standard of living and the pursuit of the standard, but the contrary is immaterial society "emotion and experience", the quality of this factor to measure a person's life, the designer must break the existing way of thinking and logic to solve design practice from different social and cultural background, so the ergonomics and perceptual study very good application in. [2] 1 Study of human-machine interface Good design products as local a holographic system, a product includes all the information of our goods in society. [3] A design of excellent products, is the inevitable product, environmental, economic, technological, cultural and other factors the ingenious fusion and balance. Human computer interaction is no exception, it is on the needle and the computer how to effectively link as a starting point. [4] The perfect computer technology humanization only maximum achieve human-computer interaction harmony. In the interface design, to achieve the most convenient and efficient user experience, we should make full use of people easy memory and understanding of graphics and accurate small amounts of text, with different color and picture effect, only in this way in the process of operating the computer and the computer feedback and people, in order to achieve the full interaction. [5]

Root system architecture (RSA)--the spatial configuration of a root system--is an important developmental and agronomic trait, with implications for overall plant architecture, growth rate and yield, abiotic stress resistance, nutrient uptake, and developmental plasticity in response to environmental changes. Root architecture is modulated by intrinsic, hormone-mediated pathways, intersecting with pathways that perceive and respond to external, environmental signals. The recent development of several non-invasive 2D and 3D root imaging systems has enhanced our ability to accurately observe and quantify architectural traits on complex whole-root systems. Coupled with the powerful marker-based genotyping and sequencing platforms currently available, these root phenotyping technologies lend themselves to large-scale genome-wide association studies (GWAS), and can speed the identification and characterization of the genes and pathways involved in root system development. This capability provides the foundation for examining the contribution of root architectural traits to the performance of crop varieties in diverse environments. This review focuses on our current understanding of the genes and pathways involved in determining root system architecture in response to both intrinsic and extrinsic (environmental) response pathways, and provides a brief overview of the latest root system phenotyping technologies and their potential impact on elucidating the genetic control of root development in plants.

Based on the development of computer network curriculum, it is necessary to implement curriculum development reform to strengthen the practical teaching. Then discusses the organization and system structure of the practical courses, and gives the practical tache implementation. Finally, introduces the implementation results of computer network practical teaching in our school.

Digital watermark for the protection of intellectual property rights has shown significant commercial value, but there are still some insufficiencies in the digital watermarking system in the theory and the means of realization. In this paper, we proposed a scheme based on the fingerprint watermark, and try to introduce biometrics in the watermark system. We wish to integrate the digital watermarking technology with the fingerprint identification technology. The scheme depends upon the spatial domain, DCT domain of multi-bits embedded watermark methods to embed and extract the information of the fingerprint characteristic, and it is better to extract the simplicity in the robustness and embedded method. The experiment has showed that the scheme is feasible and effective.

Quantization index module is a normal type of information hiding scheme, but the Steganalysis methods are not accuracy enough to detect them. A novel steganalysis method is proposed on the basis of center limitation theorem. One concise statistics is constructed to detect this kind of steganagraphy algorithms. A DCT-based image steganographic method which is recently advanced as resisting statistical attack is studied and the experimental results indicate that this technology is applicable for the detection of the quantization index module embedding algorithm.

Photorefractive surface electromagnetic wave (PR SEW) at the interface between SBN crystal and air based on drift and diffusion mechanism was observed experimentally for the first time. PR SEW can be formed when laser beam was incident at an angle of 55° in proper ratio of signal beam to background beam, and the intensity of PR SEW increases along with the increasing of additional electric field.

From the point of view of the optical information processing, we consider the spectrogram in which the spectral lines are immersed in the bright continuous background as a low contrast optical picture. By means of the coherent optical processing system and a special high-pass filter, the Fourier spectrum of the continuous background can be reduced and then the final result may appear as a spactrogram without continuous background. This may be considered as a new method for enhancement of the ratio S/N of a spectrogram.