The organic scintillation single crystals grown by conventional methods typically exhibit intrinsic crystal habits and lack machinability to be processed into suitable forms to match different application scenarios. H...
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The organic scintillation single crystals grown by conventional methods typically exhibit intrinsic crystal habits and lack machinability to be processed into suitable forms to match different application scenarios. Here, a mold-embedded growth (MEG) method is reported for the batch growth of organic scintillating single crystal fibers (SCFs). The SCFs, each embedded in a capillary glass shell, manifest homogeneous orientation, high crystallinity and satisfactory optical properties. Moreover, they can be directly integrated into pixelated scintillator arrays with various shapes. As exemplified by the organic scintillation crystal of 9,10-diphenylanthrance (DPA)-doped p-terphenyl, the pixelated fiber array shows higher performance in neutron detection compared to the monolithic organic single crystal, with the figure of merit (FOM) value of 3.684 versus 2.824 for neutron/gamma pulse shape discrimination (PSD), which could be attributed to the light-guiding effect and lower lateral optical crosstalk in the array composed of SCFs.
Human beings are confronted with a serious health hazard when ingesting Ruditapes philippinarum contaminated with heavy metals, and thus it is significantly necessary to identify heavy metal contaminated Ruditapes phi...
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Human beings are confronted with a serious health hazard when ingesting Ruditapes philippinarum contaminated with heavy metals, and thus it is significantly necessary to identify heavy metal contaminated Ruditapes philippinarum. This study investigates the feasibility of hyperspectral imaging to identify heavy metal contamination in Ruditapes philippinarum rapidly. To reduce the effects of noise, four different spectral pretreatments were performed on the original spectra. To select characteristic wavebands for identification, four waveband selection algorithms based on neighbourhood rough set theory were proposed, namely, mutual information, consistency measure, dependency measure, and variable precision. The selected wavebands were input to an extreme learning machine to construct classification models. The results demonstrated that multiplicative scatter correction pretreatment was suitable for Ruditapes philippinarum hyperspectral imaging datasets. The identification models exhibited satisfactory performance to distinguish healthy Ruditapes philippinarum from those contaminated by both individual and multiple heavy metals. The identification results of Cd and Pb contaminated samples were more accurate than those of Cu and Zn contaminated samples. When the number of training samples decreased the identification performance decreased, but not significantly. The results showed that combined with pattern recognition analysis hyperspectral imaging technology can be used to distinguish healthy Ruditapes philippinarum samples from those contaminated by heavy metals, even with only a small number of training samples. This model is suitable for applications in analysing many shellfish rapidly and non-destructively.
Background: The rising incidence of cervical cancer among individuals with diabetes is a matter of significant concern, presenting profound implications for the health status and quality of life worldwide. In patients...
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Background: The rising incidence of cervical cancer among individuals with diabetes is a matter of significant concern, presenting profound implications for the health status and quality of life worldwide. In patients diagnosed with early-stage cervical cancer, the extent of lymph node involvement has emerged as a critical prognostic factor influencing recurrence risk and survival outcomes. Therefore, the precise prediction of pelvic lymph node metastasis is essential for an accurate assessment of prognosis. The preoperative identification of lymph node metastasis constitutes a pivotal element in the formulation of personalized treatment strategies. It has been demonstrated that inflammatory markers such as neutrophils, lymphocytes, and fibrinogen significantly contribute to cancer progression and prognostic evaluations. In this regard, we propose the fibrinogen-toneutrophil ratio (FNR) as an innovative and promising biomarker for evaluating pelvic lymph node metastasis in cervical cancer patients with type 2 diabetes. Methods: The study was conducted on 141 patients diagnosed with cervical cancer and concomitant type 2 diabetes, who were treated at the First Affiliated Hospital of Xiamen University. The patients were randomly divided into a training set (n=98) and a validation set (n=43), with a ratio of 7:3. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors, and a prognostic model was established based on these findings. The model's effectiveness was evaluated. Results: A nomogram that integrates multiple factors, including FNR, triglycerides, maximum diameter, and total protein, demonstrates superior potential in predicting pelvic lymph node metastasis in patients with type 2 diabetes and cervical cancer, compared to the use of a single biomarker. Conclusion: As a comprehensive biomarker, FNR shows significant potential in offering a more thorough and reliable approach for identifying cervical cancer pati
The switched reluctance motor (SRM) drives are emerging as an attractive solution for electric vehicle (EV) applications due to its favorable driving capacity. However, the inherent net radial force of SRM has an impo...
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The switched reluctance motor (SRM) drives are emerging as an attractive solution for electric vehicle (EV) applications due to its favorable driving capacity. However, the inherent net radial force of SRM has an important effect on the vehicle ride comfort. This paper investigates the influences of net radial force induced by eccentric SRM with series/parallel circuits on vehicle ride comfort. The mechanical-electrical-magnetic coupling model of SRM is established by combing the numerical simulation and analytical method, in which the series and parallel circuits are structured, respectively. Then, quarter vibration vehicle models coupled with SRM are established. The net radial force of the two SRMs and ride comfort of the corresponding vehicles are simulated and discussed at different conditions. It is concluded that the SRM with parallel circuits generates smaller net radial forces, and the vehicle driven by SRM with parallel circuits will achieve better ride comfort due to the difference of branch currents.
Pressure relief borehole is one of the most effective methods to treat coal burst in deep-buried coal seams. However, due to the large amount of randomly distributed fractures in the coal body and the varying stress e...
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Pressure relief borehole is one of the most effective methods to treat coal burst in deep-buried coal seams. However, due to the large amount of randomly distributed fractures in the coal body and the varying stress environments in underground coal mines, there is no practical method to assess relief boreholes by far, which brings problems for borehole design and construction. This study focuses on the assessment of relief boreholes in a single driving entry wherein the impact of mining panels on relief boreholes is eliminated. A practical method, focusing on field monitoring of borehole deformation with a new device, is developed to evaluate the single driving entry's relief boreholes. This method is applied to a Chinese coal mine. The application results showed that the convergence process of the boreholes showed a three-phase characteristic. Phase one involves the fastest deformation, reaching up to 8% in the first 3 to 4 days. Phase two lasts longer and converges more, reaching up to 30% in 4 months. Phase three stays balanced until the excavating face moves. The three-phase characteristic indicates that a large diameter of the borehole ensures relief efficiency because the borehole provides adequate space for deformation throughout its life span. In addition, it is verified that long boreholes and slow footage improve relief efficiency by providing adequate time for the boreholes to work. The application proposes that boreholes in the test coal mine need to be drilled larger and longer for optimization.
The connotation of information transmission capability of information processing system has a certain fuzziness. To accurately evaluate it, we need to grasp the relationship between various elements contained in the i...
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In recent years, the efforts to better control friction and wear have focused on surface topography modification through surface texturing. To study the mutual influence of surface roughness and texture features, this...
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In recent years, the efforts to better control friction and wear have focused on surface topography modification through surface texturing. To study the mutual influence of surface roughness and texture features, this paper developed one comprehensive mathematical model of mixed lubrication to study the tribological performance of the rough-textured conjunction. The typical ring-liner conjunction was chosen as the research object. In particular, the effects of skewness and kurtosis were considered based on the non-Gaussian distribution of asperity height. In this way, the influences of non-Gaussian distribution properties and surface texturing on the tribological performance were analyzed. The results show that the influences of skewness and kurtosis on the tribological performance are nontrivial and should not be neglected in the mixed lubrication. Compared to the Gaussian distribution, considering the non-Gaussian distribution can represent the physical rough surfaces more accurately. Surfaces with negative skewness were found to generally result in better tribological properties. Moreover, the tribological performance improved by surface texturing can also be improved or reduced by the effect of skewness and kurtosis. As a result, the optimization of surface texturing should take the effects of roughness parameters into account.
Introduction Primary immune thrombocytopenia (ITP) is an autoimmune hemorrhagic disorder characterized by a low platelet count and increased risk of bleeding. We previously reported that low-dose chidamide, a histone ...
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Introduction Primary immune thrombocytopenia (ITP) is an autoimmune hemorrhagic disorder characterized by a low platelet count and increased risk of bleeding. We previously reported that low-dose chidamide, a histone deacetylase (HDAC) inhibitor, restores immune tolerance in patients with ITP. This study aimed to evaluate the association of a single-nucleotide polymorphism (SNP) rs2530223 in the HDAC3 gene with susceptibility to ITP and its clinical features. Methods Patients with ITP and age-matched healthy participants were recruited for this case-control study. Genotyping of the HDAC3 rs2530223 polymorphism was performed using MassARRAY platform. Results Individuals with T allele of HDAC3 rs2530223 exhibited a 1.472-fold increased risk of ITP susceptibility (OR 1.472;95% CI 1.100-1.969;p = .009), while ones with the TT genotype under the codominant and recessive models, and the TC/TT genotypes under the dominant model all revealed increased risk of ITP susceptibility (dominant odds ratio[OR] 1.965;95% CI: 1.046-3.656;p = .036;codominant OR 2.264;95% CI 1.175-4.360;p = .015;and recessive OR 1.512;95% CI 1.028-2.224;p = .036, respectively). Regarding platelet counts in ITP patients, we observed that the TC/TT genotypes exhibited a 3.932-fold increased risk for platelet (PLT) <30 x 10(9)/L (OR 3.932;95% CI 1.426-10.842;p = .008). Conclusion This study indicates that HDAC3 rs2530223 may be an important genetic factor related to ITP susceptibility and platelet count in ITP patients, providing new perspectives on disease progression, new therapeutic targets, and severity prediction.
Knee joint is one of the most important joints to participate in human daily activities and various sports. However, at present, knee joint injuries are still common for both athletes and ordinary people. Wrong exerci...
Knee joint is one of the most important joints to participate in human daily activities and various sports. However, at present, knee joint injuries are still common for both athletes and ordinary people. Wrong exercise style and bad living habits will cause knee joint *** rehabilitation concept after knee joint injury also leads to poor prognosis in most cases of knee joint injury. Based on the above background, this paper will analyze and sort out the causes of knee joint injury, and explore the rehabilitation methods after injury, so as to provide ideas for future research on knee joint protection and rehabilitation after injury.
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