A novel porous sulfur/carbon nanocomposite was prepared as the cathode material for lithium–sulfur batteries. The porous nanostructure of the composite is beneficial for enhancing the cycle life by accommodating the volume expansion of sulfur particles and adsorbing the polysulfide produced during the electrochemical reaction. The resulting nanocomposite shows a high capacity of 1039 mA h g−1 at 1C (1C = 1675 mA g−1) in the first cycle and the reversible capacity remains high at up to 1023 mA h g−1 even after 70 cycles.
Hybrid materials made from multifunctional components may possess fascinating optical, electrical and optoelectronic properties in comparison with individual components. This work presents In2O3/CuO core/shell structures with an improved photosensitivity as compared to bare In2O3 nanowires, achieved by coating a CuO layer on the nanowire surface. The light sensors established on these hybrid materials that have a high quality crystalline nature reveal exciting speed-up in response time (five-fold) and broader spectral range (UV–vis range), apart from a high photoconductive gain (Rλ = 2.24 × 104 A/W, EQE = 9.25 × 104 and G = 9.32 × 104). The underlying mechanism was assigned to the built-in field formed at the CuO/In2O3 interface and the ultrafast hole carrier relaxation dynamic in CuO side. The easy fabrication procedure with improved response, broader spectral range and high photosensitivity exhibits huge application potential of In2O3 materials in the fields of environmental sensing, biosensing and optoelectronic integrated circuits.
Objective: Non-invasive prediction of IDH1 mutations by establishing a quantitative radiographic model based on DTI-based whole-tumor texture analysis. Methods: Preoperative MRI images of patients with surgically confirmed astrocytoma were collected in the First Affiliated Hospital of Soochow University from February 2016 to June 2019, including T(1)WI, T(2)WI, DTI, and T(1)-contrast enhancement images.A total of 38 patients were included, consisting of 12 mutants and 26 wilds, 20 males and 18 females, the average age was (49±15) years old.The ROIs were drawn on each level of the T(2)WI image using MaZda software and copied to the ADC and FA maps to extract texture feature parameters. The LASSO regression was used to determine the best radiomics features, radiological scores were calculated, and binary Logistic regression was used to construct a prediction model, then the ROC curve was used to analyze the diagnostic efficiency and the calibration curve was used to evaluate model prediction performance. Results: The four most valuable radiomics features were determined by LASSO regression, and then the radiomics scores and Logistic regression models of each patient were established. The radiomics scores of the wild and mutant groups were 2.3±0.3 and 1.8±0.4. There were significant differences between the groups (P<0.05). The ROC curve analysis showed an AUC of 0.837 with sensitivity and specificity of 91.7% and 61.5%, respectively. The Logistic regression model had good predictive performance with AUC of 0.907, sensitivity and specificity of 91.7% and 84.6%. Conclusions: DTI-based whole tumor radiomics model is benefit for predicting astrocytoma IDH1 mutations.目的： 通过基于扩散张量成像（DTI）的全肿瘤纹理分析建立放射组学模型，从而实现无创性预测异柠檬酸脱氢酶1（IDH1）突变。 方法： 收集2016年2月至2019年6月苏州大学附属第一医院收治并经手术确诊星形细胞瘤患者的术前MRI图像，包括T(1)WI、T(2)WI、DTI和T(1)对比增强。最终共纳入38例患者，男20例、女18例，其中12例突变型，26例野生型，年龄（49±15）岁。使用MaZda软件在T(2)WI图像的每个层面上绘制感兴趣区（ROI）并将其复制到表观扩散系数（ADC）和各向异性分数（FA）图，提取肿瘤全体素的纹理特征参数。使用最小绝对值收敛和选择算子（LASSO）回归确定最佳放射性组学特征，计算放射组学分数，使用二元Logistic回归构建组学预测模型，绘制受试者工作特征（ROC）曲线分析诊断效能以及校正曲线评估模型预测性能。 结果： 经LASSO回归最终确定了4个最有价值的放射组学特征，分别为ADC(偏度3D)、ADC(Perc.01%3D)、ADC(Perc.50%3D)和FA(Perc.99%3D)，随后基于放射组学特征建立每例患者的放射组学标签和Logistic回归模型。野生组和突变组的放射组学评分分别为2.3±0.3和1.8±0.4，组间差异有统计学意义（P<0.05），ROC曲线分析显示AUC为0.837，灵敏度和特异度分别为91.7%和61.5%。Logistic回归模型具有良好的预测性能，AUC为0.907，灵敏度和特异度分别为91.7%和84.6%。 结论： 基于DTI的全肿瘤放射组学模型有助于预测胶质瘤IDH1突变。.
The solubility of ammonium dihydrogen phosphate (MAP) was measured at the temperature range from 283.2 to 343.2 K by using dynamic and static methods in water–ethanol system. The experiment results showed that the solubility of MAP increased with the increase of the investigated temperatures under the constant ethanol concentration and decreased with increasing concentration of ethanol with isothermal operations. The solubility of MAP in water–ethanol system was fitted by the modified Apelblat equation, the correlation coefficient square was greater than 0.990, and the average of the root-mean-square deviation was 4.346 × 10–4, which indicated that the experiment data was well in agreement with the calculation value.
In order to obtain the necessary band gap for light‐emitting diodes (LEDs) with zero emission at blue wavelengths (“blue‐free”), quasi‐3D nanostructures of p‐type Fe‐doped zinc oxide (ZnO:Fe) are fabricated on an n‐type GaN substrate. The ZnO:Fe nanostructure comprises an array of vertical nanowires attached at the nodes of a 2D network. Elemental analysis and field‐effect‐transistor (FET) and current–voltage ( I – V ) measurements indicate the successful iron‐doping of ZnO. After doping, the ZnO exhibits p‐type conductivity, a local‐charge‐reservoir layer, and an abundance of Fe‐related deep levels. The cathodoluminescence (CL), photoluminescence (PL) at various temperatures (down to 4.65 K), and electroluminescence (EL) confirm the creation of Fe‐related donor and acceptor levels. New donor levels may be attributed to the substitution of Fe for some Zn sites (“Fe Zn ”), while new acceptor levels may be due to the bind of Fe Zn with Zn vacancies, (producing Fe Zn – V Zn pairs). These doping‐induced energy levels are helpful in restricting the intrinsic ZnO UV and blue emission, and a stable blue‐free orange LED device is achieved. It has chromaticity coordinates of ∼(0.483, 0.447) and a color temperature of ∼2574 K under bias voltages of 6–16 V, making it potentially applicable to electronic display systems.
OBJECTIVE: To explore the potential value of quantitative parameters derived from dual-energy spectral computed tomography (DESCT) as comparing to the parameters derived from magnetic resonance imaging (MRI) in detecting bone marrow (BM) infiltration and distinguishing different patterns of BM infiltration in patients diagnosed with Multiple myeloma (MM). METHODS: This study involved 35MM patients and 15 healthy control subjects who had undergone spinal DESCT and MRI. Pattern assignment was based on visual assessment of MR images, and the regions of interest were defined on both DESCT and apparent diffusion coefficient maps. Quantitative values of DESCT parameters were measured and compared between infiltrated and healthy bone marrow. Receiver operating characteristic (ROC) analysis was performed to determine potential utility of DESCT parameters in identifying BM infiltration and different patterns defined by MRI. Sensitivity and specificity under the optimal thresholds determined by the Youden Index were also calculated. RSULTS: Statistical differences were observed between the DESCT parameters including Ca(Water), Water(Ca), HAP(Fat), Fat(HAP) and Effective atomic number (Eff-Z) but not for the 70-keV CT value between the infiltrated and healthy BM (all P < 0.001). The 70keV CT value and Ca(Water), HAP(Fat) and Eff-Z values were also found to be statistically different in comparing different infiltration patterns (all P < 0.05). Performance of the model-based parameter Ca/Water was superior in differentiating between infiltrated and healthy BM in which the area under ROC curve, AUC = 0.856 [95% CI, 81.4–89.1%] with sensitivity = 0.841 and specificity = 0.768, as well as between MM patients and control subjects (AUC = 0.910 [95% CI, 79.5–97.3%], sensitivity = 0.829 and specificity = 1.000). CONCLUSIONS: Analysis of DESCT offers potential as a quantitative method to detect infiltrated BM and evaluate infiltration patterns of BM in patients diagnosed with MM.
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Technology innovations have occurred in schools all over the world to accommodate Computer Assisted Language Learning (CALL). In 2004, a national reform was initiated by the Ministry of Education in China which aimed to improve the teaching of College English curriculum by adopting modern technologies. Since then, Chinese College English teachers have been adapting to CALL. This research project presents a case study of one Chinese university, Huazhong Normal University (HZNU). It investigates how CALL is currently used by the College English teachers and the problems teachers are having in using CALL. This study focuses on teachers’ use of, and perspectives on, CALL. Data were collected by two means: a questionnaire involving 31 respondents, and five in-depth interviews concerning several aspects of the College English teachers’ use of CALL in HZNU. Results showed that even with a broad introduction of modern technologies in College English teaching, most of the teachers in HZNU were using computers in a limited way. Most of them lacked a clear understanding of what CALL is and what CALL can do. As well, the results indicated that the professional development in CALL for College English teachers has been insufficient both in terms of techniques and pedagogies in technology. The study indicates further obstacles to College English teachers’ use of CALL, such as insufficient technical support, heavy workloads and the difficulties adapting to the new teaching mode. The researcher recommends that these identified problems warrant immediate attention and she presents a model to guide the improvement of the use of CALL by College English teachers.
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