Notes

A retrospective look at your signs, difficulties, along with benefits related to epicardial pacemakers inside Something like 20 pet cats collected from one of institution.
Abstract：With the fast development of Internet of Things, the energy supply for all the electronics and sensors becomes a critical challenge. Triboelectric nanogenerator (TENG), which can transfer mechanical energy from the surrounding environment into electricity, has been recognized as the most promising alternative technology to remedy the shortcomings of traditional battery technology. Environmental mechanical energy widely exist in the natural activity and all these environmental energy sources can serve for TENG to achieve a clean and distributed energy network, which can finally benefit the innovation of various wireless devices. In this review, TENGs targeting at different environmental energy sources have been systematically summarized and analyzed. Firstly, we give a brief introduction to the basic principle and working modes of TENG. Then, TENG targeting at different energy sources, from wind blowing and rain drop to waves pounding, noise signal and so on, has been summarized based on its design concept and its output performance. In addition, combined with other energy technologies such as solar cells and electromagnetic generator and piezoelectric nanogenerator, the application of hybrid nanogenerators is elaborated under different scenarios. Finally, the challenges, the limitations and future research trends of environmental energy collection are outlined. © 2020 IOP Publishing Ltd.PURPOSE Radiomic features achieve promising results in cancer diagnosis and treatment response prediction. The goal of this study is to compare the handcrafted, or explicitly designed, radiomic features and deep learning (DL)-based radiomic features extracted from pre-treatment diffusion-weighted magnetic resonance images (DWIs) for predicting neoadjuvant chemoradiation treatment (nCRT) response in patients with locally advanced rectal cancer (LARC). MATERIALS AND METHODS 43 patients receiving nCRT were included. selleck inhibitor All patients underwent DWIs before nCRT and total mesorectal excision surgery after nCRT. Gross tumor volume (GTV) contours were drawn by an experienced radiation oncologist on DWIs. The patient-cohort was split into the responder group (n=22) and the non-responder group (n=21) based on the post-nCRT response assessed by postoperative pathology, MRI or colonoscopy. Handcrafted and DL-based features were extracted from the apparent diffusion coefficient (ADC) map of the DWI using conventional computer-aided diagnosis methods and a pre-trained convolution neural network, respectively. Least absolute shrinkage and selection operator (LASSO)-logistic regression models were constructed using extracted features for predicting treatment response. The model performance was evaluated with repeated 20 times stratified 4-fold cross-validation using receiver operating characteristic (ROC) curves and compared using the corrected resampled t-test. RESULTS The model built with handcrafted features achieved the mean area under the ROC curve (AUC) of 0.64, while the one built with DL-based features yielded the mean AUC of 0.73. The corrected resampled t-test on AUC showed P-value less then 0.05. CONCLUSION DL-based features extracted from pre-treatment DWIs achieved significantly better classification performance compared with handcrafted features for predicting nCRT response in LARC patients. © 2020 Institute of Physics and Engineering in Medicine.In this study, basic fibroblast growth factor (bFGF) was loaded into a poly(lactic-co-glycolic acid) (PLGA)/wool keratin composite membrane by emulsion electrospinning to prepare a composite membrane with a core-shell structure for guided tissue regeneration (GTR). The physicochemical properties, drug release performance in vitro and cytotoxicity of the composite membrane were evaluated to select the optimum concentration of bFGF. The fibers in the six groups of composite membranes were uniform in thickness, had a smooth surface, and did not exhibit a string bead structure. In addition, the fibers in the six groups of composite membranes had a stable core-shell structure, in which the core layer of the fibers was wrapped around bFGF and the shell layer of the fibers comprised the PLGA/wool keratin oil-phase component. Compared with the PLGA/wool keratin composite membrane prepared by traditional electrospinning, the composite membranes prepared by emulsion electrospinning had a higher water absorption rate and superior hydrophilicity. The bFGF encapsulation rate of the 10-μg bFGF composite membrane was the highest (97.3% ±11.3%). Stable and sustained release of bFGF from the five groups of bFGF-loaded PLGA/wool keratin composite membranes can be maintained over 28 d. The five groups of PLGA/wool keratin composite membranes loaded with bFGF could promote the adhesion, proliferation and osteogenic differentiation of human periodontal ligament fibroblasts (hPLDFs) to varying degrees. Among the five groups, the cell morphology, proliferation ability and osteogenic differentiation ability of the 10-μg bFGF composite membrane group were the best. This study will serve as a foundation for further research on bFGF-loaded composite membranes for GTR applications. © 2020 IOP Publishing Ltd.The aim of this paper is to investigate the feasibility and limitations of activity-concentration estimation for223Ra using SPECT. Phantom measurements are performed using spheres (volumes 5.5 mL to 26.4 mL, concentrations 1.6 kBq mL-1to 4.5 kBq mL-1). Furthermore, SPECT projections are simulated using the SIMIND Monte Carlo program for two geometries, one similar to the physical phantom and the other being an anthropomorphic phantom with added lesions (volumes 34 mL to 100 mL, concentrations 0.5 kBq mL-1to 4 kBq mL-1). Medium-energy and high-energy collimators, 60 projections with 55 s per projection and a 20 % energy window at 82 keV are employed. For the Monte Carlo simulated images, Poisson-distributed noise is added in ten noise realizations. Reconstruction is performed (OS-EM, 40 iterations, 6 subsets) employing compensation for attenuation, scatter, and collimator-detector response. The estimated concentrations in the anthropomorphic phantom are also corrected using recovery coefficients. Errors for the largest sphere in the physical phantom range from -25 % to -34 % for the medium-energy collimator and larger deviations for smaller spheres.
My Website: https://www.selleckchem.com/products/sulbactam-pivoxil.html