Highly Efficient and Thermally Stable Blue-Green (Ba0.8Eu0.2O)(Al2O3)(4.575x(1+x)) Phosphor through Structural Modification

Highly Efficient and Thermally Stable Blue-Green (Ba0.8Eu0.2O)(Al2O3)(4.575x(1+x)) Phosphor through Structural Modificatio

Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control

Because of the complexity of the environment, the dynamics of agents in the same system may be different. That is, the dynamics of some agents may be first ordered, and the others may be second ordered, even high ordered. In addition, the network topologies of systems are always varying over time. Because of these facts, this paper studies the consensus problem of the mixed-order multiagent networks over the jointly connected topologies. By adopting the impulse control technique, some control protocols are proposed based on the information of the agents themselves and their neighbors. Several simulation results are given to verify the correctness of the theoretical results

Object-oriented polarimetric SAR image classification via the combination of a pixel-based classifier and a region growing technique

ABSTRACTLand-cover type interpretation by the use of remote sensing image classification techniques is always a hot topic. In this paper, an object-oriented method is presented for fully polarimetric synthetic aperture radar (SAR) image classification. Differing from most of the traditional object-oriented classification algorithms, the proposed method employs an innovative classification strategy that combines a pixel-based classifier and a region growing technique. Firstly, taking each individual pixel as a seed pixel, the homogeneous areas are extracted by a region growing technique. Then, using the information of the pixel-based classification result, the pixels located in each homogeneous area are all assigned to a certain class. Finally, the majority voting strategy is deployed to determine the final class label of each pixel. The experiments conducted on two fully polarimetric SAR images reveal that the proposed classification scheme can obtain pleasing classification accuracy and can provide the classification maps with more homogeneous regions than pixel-based classification

Nonlinear photoluminescence of ZnO/ZnS nanotetrapods

In this work, two-photon-excited photoluminescence dynamics in ZnS functionalized ZnO nanotetrapods were investigated. Comparing to the bare ZnO nanotetrapods, the emission peaks of the ZnO/ZnS nanotetrapods red-shifted by 5-10 nm, and the photoluminescence intensity and lifetime of the ultraviolet exciton radiative transition increased more than 20 times due to the passivation effect of the core/shell structure. (C) 2008 Elsevier B.V. All rights reserved

The potential association of polybrominated diphenyl ether concentrations in serum to thyroid function in patients with abnormal thyroids: a pilot study

Background: To explore possible associations between polybrominated diphenyl ether (PBDE) exposure and patients with abnormal thyroid hormone levels whose thyroid function parameters are above normal ranges. Methods: The serum of 40 patients with thyroid hormone abnormalities was collected in Kunming. triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), and thyroid-stimulating hormone (TSH) were detected in serum using chemiluminescence. The PBDE homologs in the patients’ serum were quantitatively analyzed by gas chromatography-mass spectrometry. If the detection frequency of the compound exceeded 50%, it was included in the analysis. Spearman’s rank correlation coefficient and multiple linear regression were used to evaluate the correlation between PBDE homologs and five thyroid function parameters. Results: A total of 33 PBDE homologs were detected, 7 of which had a more than 50% detection rate. BDE-47 was the main homolog detected. Spearman’s correlation showed that no relationship was found between PBDE homologs and thyroid hormones. Multiple linear regression showed that BDE-153 was positively correlated with T4, negatively correlated with T3, while BDE-47 was negatively correlated with FT4 (P0.05). The β coefficient showed that the increase in the logarithmic unit of ∑7PBDEs was related to an increase in FT4 and T4 levels and decreased TSH, T3, and FT3 levels. Conclusions: There is a significant correlation between exposure to PBDE and thyroid dysfunction. The increase of total PBDEs was significantly correlated with the increase of FT4 and T4 levels and decreased TSH, T3, and FT3 levels

Inferring circRNA-drug sensitivity associations via dual hierarchical attention networks and multiple kernel fusion

Abstract Increasing evidence has shown that the expression of circular RNAs (circRNAs) can affect the drug sensitivity of cells and significantly influence drug efficacy. Therefore, research into the relationships between circRNAs and drugs can be of great significance in increasing the comprehension of circRNAs function, as well as contributing to the discovery of new drugs and the repurposing of existing drugs. However, it is time-consuming and costly to validate the function of circRNA with traditional medical research methods. Therefore, the development of efficient and accurate computational models that can assist in discovering the potential interactions between circRNAs and drugs is urgently needed. In this study, a novel method is proposed, called DHANMKF , that aims to predict potential circRNA-drug sensitivity interactions for further biomedical screening and validation. Firstly, multimodal networks were constructed by DHANMKF using multiple sources of information on circRNAs and drugs. Secondly, comprehensive intra-type and inter-type node representations were learned using bi-typed multi-relational heterogeneous graphs, which are attention-based encoders utilizing a hierarchical process. Thirdly, the multi-kernel fusion method was used to fuse intra-type embedding and inter-type embedding. Finally, the Dual Laplacian Regularized Least Squares method (DLapRLS) was used to predict the potential circRNA-drug sensitivity associations using the combined kernel in circRNA and drug spaces. Compared with the other methods, DHANMKF obtained the highest AUC value on two datasets. Code is available at https://github.com/cuntjx/DHANMKF

Cyclin D1 G870A polymorphism and risk of nasopharyngeal carcinoma: a case-control study and meta-analysis.

BACKGROUND:Cyclin D1 (CCND1) plays a key role in cell cycle regulation. It is a well-established human oncogene which is frequently amplified or overexpressed in cancers. The association between CCND1 G870A polymorphism and cancer risk has been widely assessed. However, a definitive conclusion between CCND1 G870A polymorphism and risk of nasopharyngeal carcinoma (NPC) remains elusive. METHODS:We firstly performed a hospital-based case-control study involving 165 NPC cases and 191 cancer-free controls in central-south China, and then conducted a meta-analysis with six case-control studies to evaluate the association between NPC risk and CCND1 G870A polymorphism. RESULTS:The case-control study found a significant association between CCND1 G870A polymorphism and NPC risk in various comparison models (AA vs. GG: OR = 2.300, 95% CI 1.089-4.857, p = 0.029; AG vs. GG: OR = 2.832, 95% CI 1.367-5.867, p = 0.005; AA/AG vs. GG: OR = 2.597, 95% CI 1.288-5.237, p = 0.008; AA vs. AG/GG:OR = 0.984, 95% CI 0.638-1.518, p = 0.944). Further meta-analysis showed that there was no significant association between CCND1 G870A polymorphism and NPC risk in overall analysis. In the stratified analysis by race, however, significant associations were only found in Caucasians (for the allele model A vs. G: OR = 0.75, 95% CI 0.59-0.97, p = 0.03; for the co-dominant model AA vs. GG: OR = 0.52, 95% CI 0.32-0.86, p = 0.01; for the dominant model AA/AG vs. GG: OR = 0.49, 95% CI 0.32-0.74, p<0.01; for the recessive model AA vs. AG/GG:OR = 0.90, 95% CI 0.61-1.34, p = 0.60). CONCLUSIONS:A significant association between CCND1 G870A polymorphism and NPC risk was found in the central-southern Chinese population. The meta-analysis indicated that CCND1 G870A polymorphism may contribute to the development of NPC in Caucasians