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Coronavirus disease 2019 (COVID-19) is a global health threat. A hospital in Zhuhai adopted several measures in Fever Clinic Management (FCM) to respond to the outbreak of COVID-19. FCM has been proved to be effective in preventing nosocomial cross infection. Faced with the emergency, the hospital undertook creative operational steps in relation to the control and spread of COVID-19, with special focuses on physical and administrative layout of buildings, staff training and preventative procedures. The first operational step was to set up triaging stations at all entrances and then complete a standard and qualified fever clinic, which was isolated from the other buildings within our hospital complex. Secondly, the hospital established its human resource reservation for emergency response and the allocation of human resources to ensure strict and standardised training methods through the hospital for all medical staff and ancillary employees. Thirdly, the hospital divided the fever clinic into partitioned areas and adapted a three-level triaging system. The experiences shared in this paper would be of practical help for the facilities that are encountering or will encounter the challenges of COVID-19, i.e. to prevent nosocomial cross infection among patients and physicians.

Pure metal organic frameworks MIL-101(Cr) was directly prepared without any purification treatment using acetic acid as mineralizer. The physical structure and morphology of the material were studied by means of power X-ray diffraction(XRD), thermogravimetric(TG), scanning electron microscope(SEM) and N2 adsorption-desorption and compared with conventional MIL-101(Cr) which synthesized with hydrofluoric acid as mineralizer. The results demonstrate that the specific surface area and pore volume of the MIL-101(Cr) synthesized with acetic acid as mineralizer are superior to hydrofluoric acid as mineralizer. The MIL-101(Cr) sample synthesized with acetic acid as mineralizer is stable above 450℃, higher than the MIL-101(Cr) synthesized with hydrofluoric acid as mineralizer.

Small B-cell lymphoid neoplasms (SBCLNs) are a heterogeneous group of diseases characterized by malignant clonal proliferation of mature B-cells. However, the classification of SBCLNs remains a challenge, especially in cases where histopathological analysis is unavailable or those with atypical laboratory findings or equivocal pathologic data. In this study, gene expression profiling of 1039 samples from 27 gene expression omnibus (GEO) datasets was first investigated to select highly and differentially expressed genes among SBCLNs. Samples from 57 SBCLN cases and 102 nonmalignant control samples were used to train a classifier using the NanoString platform. The classifier was built by employing a cascade binary classification method based on the random forest algorithm with 35 refined gene signatures. Cases were successively classified as chronic lymphocytic leukemia/small lymphocytic lymphoma, conventional mantle cell lymphoma, follicular lymphoma, leukemic non-nodal mantle cell lymphoma, marginal zone lymphoma, lymphoplasmacytic lymphoma/Waldenström’s macroglobulinemia, and other undetermined. The classifier algorithm was then validated using an independent cohort of 197 patients with SBCLNs. Under the distribution of our validation cohort, the overall sensitivity and specificity of proposed algorithm model were >95%, respectively, for all the cases with tumor cell content greater than 0.72. Combined with additional genetic aberrations including IGH-BCL2 translocation, MYD88 L265P mutation, and BRAF V600E mutation, the optimal sensitivity and specificity were respectively found at 0.88 and 0.98. In conclusion, the established algorithm demonstrated to be an effective and valuable ancillary diagnostic approach for the sub-classification and pathologic investigation of SBCLN in daily practice.

\"Horizontal strokes should be level and vertical strokes should be straight\" is a common guideline in the teaching of Chinese handwriting. Measuring deviations in level horizontal and straight vertical strokes in students' Chinese handwriting is usually assessed manually. However, this task is time-consuming and may have inconsistent outcomes when judged by different people. In this paper, we aim to formulate a method to automatically evaluate the tilt and slant degrees of students' Chinese handwriting using digital handwriting tablets. Furthermore, we analyze the relationship between the tilt and slant features of students' Chinese handwriting and other demographic and handwriting features. Five hundred and ninety-one primary school students from grades 1 to 6 were recruited in Hong Kong. Before the assessment, a grid paper was attached to a digital handwriting tablet. The participants were then asked to copy 90 Chinese characters from a template to the grid paper. Their handwriting processes were recorded as two-dimensional points and then analyzed. The tilt and slant of the students' handwriting were calculated based on the inclination level of their horizontal and vertical strokes. Linear regressions between slant/tilt degree of the manuscripts and other handwriting features were performed. The students' demographic information was also explored. Slant was found to be significantly correlated to Gender (p < 0.001) and tilt×standard deviation of pen pressure (p < 0.001). Tilt was found to be significantly correlated to ground time (p < 0.001), slant (p < 0.001) and slant×special education need (p = 0.021). Our results demonstrate the relationship between slant, tilt and Chinese handwriting performance in primary school children. Slant and tilt can be adopted as an indicator in students' special education need diagnosis, as tilt level in the students' Chinese handwriting was related to ground time and slant× special education need, while slant is related to tilt×standard deviation of pen pressure and female students. These findings may also inspire ways to increase special education need students' writing speed.

With the development of society, large capacity and super large capacity thermal power units have gradually become the main force of China's electric power industry. How to improve the efficiency of power plant units has become increasingly important. Effectively increasing the cooling efficiency of cooling towers can reduce the temperature of cold sources and improve the efficiency of the units. This paper introduces the development of the cooling tower and the internal structure and working principle of the cooling tower. Combined with the existing optimization methods of several cooling towers, the feasible direction of the optimization design of the cooling tower is put forward to provide support for finding the new energy saving technology to enhance the heat and mass transfer of the circulating water and air to further reduce the water temperature of the tower.

The removal of industrial dust is mainly realized by various dust removal equipment. The electrostatic dust remover can remove more than 99.5% of the dust particles of various diameters, but the dust removal effect of particulate particles is not significant. Among them, for the finer particles in the dust, the dust removal effect is poor. After measurement, the efficiency of electrostatic dust removal is 80%-85% for fine particles with a particle diameter of 10-1μm [1]. With our higher demand for particulate emissions, improving the removal of industrial fine particulates is imminent. In the process of dust generation, dust particles collide or come into contact through various paths, thereby combining to generate larger particles, and this process becomes the condensation of dust. The dust agglomeration technology is generally used as a pre-treatment of the flue gas in the field of flue gas dust removal. By enriching the fine particles, the fine particles become larger, and then the dust is removed through the dust removal device.

The TC8 titanium alloy was isothermally compressed at 1133 K and 1213 K in the (α+β) two phase region. The microstructural evolution and restoration mechanism in the α and β phases were characterized by optical microscopy and transmission electron microscopy. The results show a significant effect of phase content on the microstructural evolution and restoration mechanism. The grain refinement occurs in the α phase at both temperatures, but in the β phase only at the higher temperature of 1213 K. This difference in microstructural evolution is attributed to the different temperature dependence of restoration mechanisms in the two phases. A significant increase in the volume fraction of β phase makes the restoration mechanism in the β phase change from dynamic recovery (DRV) to dynamic recrystallization (DRX), which subsequently induces the β grain refinement.

In this paper, an adaptive constitutive model has been acquired with the help of a fuzzy set and an artificial neural network, so as to represent the deformation behavior of the Ti-6.29Al-2.71Mo-1.42Cr alloy in high-temperature deformation. In establishing this model for the constitutive relationship of this alloy, the process parameters of deformation temperature, strain rate, and strain were taken as three inputs, and the flow stress was taken as an output. Data from \"teaching samples\" and testing samples were obtained from the experimental results in the isothermal compression of the Ti-6.29Al-2.71Mo-1.42Cr alloy. By comparison of the calculated results with the experimental data from the testing samples, it was verified that the present adaptive constitutive model to predict the flow stress of the Ti-6.29Al-2.71Mo-1.42Cr alloy has good learning precision and generalization.

Isothermal compression tests on a commercial TC6 titanium alloy have been conducted at deformation temperatures of about 800 - 1040°C, strain rates of 0.001 - 50 s -1 and height reductions of 30 - 50%. The microstructural evolution is represented through the measured grain size of the prior α-phase. Meanwhile, a new constitutive equation, which includes the grain size, is established for high temperature deformation behaviour. The procedure required to formulate a constitutive equation from the experimental results is presented. The constitutive equation to model the behaviour of the TC6 titanium alloy during high temperature deformation is validated and its formulation is presented. The results show that the present equation is satisfactory for describing the behaviour of the TC6 titanium alloy during high temperature deformation. The maximum difference between the calculated and the experimental results is less than 15%.

Workability limits must be considered when designing powder metallurgy (PM) forging processes. This research successfully applied the general upsetting experiment method to the deformation of porous materials. Based on the plastic theory of porous materials, the compressible rigid plastic finite element method is used to simulate the deformation processes of cold upsetting of disks and rings for porous metal materials with a full account of contact friction boundary conditions, the height-to-diameter ratio, the initial relative density, and the die and workpiece geometry. Furthermore, a successful analysis of the cold forging process results in the prediction of the stress, the strain, and the density field. By coupling with the ductile fracture criterion, which is a strain-based criterion obtained by Lee and Kuhn, possible defects leading to material failure have been checked. This research reveals that larger height to diameter and a lesser friction factor can delay the local strain locus to intersect with the Lee and Kuhn's fracture line and restrain formation of the surface crack. Meanwhile, it reveals that the initial relative density has only a very small influence on the strain to fracture in compression, and it shows the forming behavior of the ring and disk with the curved die. According to Lee and Kuhn's results, the calculated results agree well with the experimental results.