A multimodal deep learning framework using local feature representations for face recognition

YesThe most recent face recognition systems are mainly dependent on feature representations obtained using either local handcrafted-descriptors, such as local binary patterns (LBP), or use a deep learning approach, such as deep belief network (DBN). However, the former usually suffers from the wide variations in face images, while the latter usually discards the local facial features, which are proven to be important for face recognition. In this paper, a novel framework based on merging the advantages of the local handcrafted feature descriptors with the DBN is proposed to address the face recognition problem in unconstrained conditions. Firstly, a novel multimodal local feature extraction approach based on merging the advantages of the Curvelet transform with Fractal dimension is proposed and termed the Curvelet–Fractal approach. The main motivation of this approach is that theCurvelet transform, a newanisotropic and multidirectional transform, can efficiently represent themain structure of the face (e.g., edges and curves), while the Fractal dimension is one of the most powerful texture descriptors for face images. Secondly, a novel framework is proposed, termed the multimodal deep face recognition (MDFR)framework, to add feature representations by training aDBNon top of the local feature representations instead of the pixel intensity representations. We demonstrate that representations acquired by the proposed MDFR framework are complementary to those acquired by the Curvelet–Fractal approach. Finally, the performance of the proposed approaches has been evaluated by conducting a number of extensive experiments on four large-scale face datasets: the SDUMLA-HMT, FERET, CAS-PEAL-R1, and LFW databases. The results obtained from the proposed approaches outperform other state-of-the-art of approaches (e.g., LBP, DBN, WPCA) by achieving new state-of-the-art results on all the employed datasets

Corneal confocal microscopy detects a reduction in corneal endothelial cells and nerve fibres in patients with acute ischemic stroke

YesEndothelial dysfunction and damage underlie cerebrovascular disease and ischemic stroke. We undertook corneal confocal microscopy (CCM) to quantify corneal endothelial cell and nerve morphology in 146 patients with an acute ischemic stroke and 18 age-matched healthy control participants. Corneal endothelial cell density was lower (P<0.001) and endothelial cell area (P<0.001) and perimeter (P<0.001) were higher, whilst corneal nerve fbre density (P<0.001), corneal nerve branch density (P<0.001) and corneal nerve fbre length (P=0.001) were lower in patients with acute ischemic stroke compared to controls. Corneal endothelial cell density, cell area and cell perimeter correlated with corneal nerve fber density (P=0.033, P=0.014, P=0.011) and length (P=0.017, P=0.013, P=0.008), respectively. Multiple linear regression analysis showed a signifcant independent association between corneal endothelial cell density, area and perimeter with acute ischemic stroke and triglycerides. CCM is a rapid non-invasive ophthalmic imaging technique, which could be used to identify patients at risk of acute ischemic stroke.Qatar National Research Fund Grant BMRP2003865

Cytotoxicity and physicochemical characterization of iron&ndash;manganese-doped sulfated zirconia nanoparticles

Mohamed Qasim Al-Fahdawi,1 Abdullah Rasedee,1,2 Mothanna Sadiq Al-Qubaisi,1 Fatah H Alhassan,3,4 Rozita Rosli,1 Mohamed Ezzat El Zowalaty,1,5 Se&iuml;f-Eddine Naadja,6 Thomas J Webster,7,8 Yun Hin Taufiq-Yap3,41Institute of Bioscience, 2Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, 3Catalysis Science and Technology Research Centre, Faculty of Science, 4Department of Chemistry, Faculty of Science, 5Biomedical Research Center, Qatar University, Doha, Qatar; 6Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia; 7Department of Chemical Engineering, Northeastern University, Boston, MA, USA; 8Center of Excellence for Advanced Materials Research, King Abdulaziz University, Jeddah, Saudi ArabiaAbstract: Iron&ndash;manganese-doped sulfated zirconia nanoparticles with both Lewis and Br&oslash;nsted acidic sites were prepared by a hydrothermal impregnation method followed by calcination at 650&deg;C for 5 hours, and their cytotoxicity properties against cancer cell lines were determined. The characterization was carried out using X-ray diffraction, thermogravimetric analysis, Fourier transform infrared spectroscopy, Brauner&ndash;Emmett&ndash;Teller (BET) surface area measurements, X-ray fluorescence, X-ray photoelectron spectroscopy, zeta size potential, and transmission electron microscopy (TEM). The cytotoxicity of iron&ndash;manganese-doped sulfated zirconia nanoparticles was determined using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays against three human cancer cell lines (breast cancer MDA-MB231 cells, colon carcinoma HT29 cells, and hepatocellular carcinoma HepG2 cells) and two normal human cell lines (normal hepatocyte Chang cells and normal human umbilical vein endothelial cells [HUVECs]). The results suggest for the first time that iron&ndash;manganese-doped sulfated zirconia nanoparticles are cytotoxic to MDA-MB231 and HepG2 cancer cells but have less toxicity to HT29 and normal cells at concentrations from 7.8 &micro;g/mL to 500 &micro;g/mL. The morphology of the treated cells was also studied, and the results supported those from the cytotoxicity study in that the nanoparticle-treated HepG2 and MDA-MB231 cells had more dramatic changes in cell morphology than the HT29 cells. In this manner, this study provides the first evidence that iron&ndash;manganese-doped sulfated zirconia nanoparticles should be further studied for a wide range of cancer applications without detrimental effects on healthy cell functions.Keywords: nanopartices, Lewis and Br&oslash;nsted acidic sites, anticancer applications, HT29 cells, transition metal oxid

Cytotoxicity and physicochemical characterization of iron&ndash;manganese-doped sulfated zirconia nanoparticles [Corrigendum]

Al-Fahdawi MQ, Rasedee A, Al-Qubaisi MS, et al. Int J Nanomedicine. 2015;10:5739&ndash;5750.On page 5739, Affiliation section, the affiliations &quot;1Institute of Bioscience, 2Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, 3Catalysis Science and Technology Research Centre, Faculty of Science, 4Department of Chemistry, Faculty of Science, 5Biomedical Research Center, Qatar University, Doha, Qatar; 6Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia; 7Department of Chemical Engineering, Northeastern University, Boston, MA, USA; 8Center of Excellence for Advanced Materials King Abdulaziz University, Jeddah, Saudi Arabia&quot; should have read &quot;1Institute of Bioscience, 2Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, 3Catalysis Science and Technology Research Centre, Faculty of Science, 4Department of Chemistry, Faculty of Science, Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia; 5Biomedical Research Center, Qatar University, Doha, Qatar; 6Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia; 7Department of Chemical Engineering, Northeastern University, Boston, MA, USA; 8Center of Excellence for Advanced Materials Research, King Abdulaziz University, Jeddah, Saudi ArabiaRead the original articl