Biosynthesis of Copper Oxide and Silver Nanoparticles by Bacillus Spores and Evaluation of the Feasibility of Their Use in Antimicrobial Paints.

Modification of paint with nanoparticles (NPs) provides self-cleaning, water/dirt-repellent, and other properties. Therefore, the aim of the present study was to biosynthesize silver (Ag) and copper oxide (CuO) NPs and to prepare NP-modified paint. To this end, AgNPs and CuONPs were biosynthesized using Bacillus atrophaeus spores and commercial and crude dipicolinic acid (DPA) extracted from the spore of this bacterium. The synthesized NPs were characterized using electron microscopy, Fourier-transform infrared (FTIR), X-ray diffraction analysis (XRD), and energy-dispersive X-ray spectroscopy (EDS) methods. A minimum inhibitory concentration (MIC) assay of NPs against Escherichia coli ATCC8739 and Staphylococcus aureus ATCC6538 was carried out. The antibacterial effects of prepared NP-paint complexes were assessed using an optical density (OD) comparison before and after adding metal sheets coated with NP-paint complexes into the nutrient broth medium. Four different types of NPs were synthesized in this research: AgNPs synthesized by spore (A), AgNPs synthesized by commercial DPA (B), AgNPs synthesized by crude DPA (C), and CuONPs synthesized by spore (D). SEM analysis confirmed the spherical shape of NPs. According to the results, NPs A, B, and D showed higher antibacterial activity against S. aureus compared to E. coli. Furthermore, the analysis of the antibacterial effects of NP-paint complexes suggested that paint-NPs A, B, and C displayed higher activity on E. coli compared to S. aureus. Moreover, the antibacterial effect of paint-NP D was significantly lower than other NPs. According to this robust antibacterial effect on pathogenic bacteria, it seems that these NP-paint complexes could be useful in public places such as hospitals, airports, dormitories, schools, and office buildings, where the rate of transmission of infection is high.

Using Structural Equation Modelling to Predict Safety and Health Status among Stone Industries.

BACKGROUND: The creation of a working organization with a high safety level ensures employees' health in their workplaces, therefore current study evaluated effect the organizational structure on the safety and health in the stone industry. METHODS: The study was done among the 100 stone industries in Isfahan, Iran. We asked selected participants to complete the organizational structure questionnaire and ELMERI checklists. tested the hypothesis with Smart PLS 3.0. RESULTS: The model fit index showed the standardized root mean square (SRMR=0.08), the normalized fit index (NFI=0.9), The coefficient of determination (R2 = 0.362), Effect size (ƒ2 was less than 0.2), and the Predictive relevance of the model (Q2=0.216) which is considered a good fit for mode. Also, the relation between formalization and health and safety was significant (ß = -0.47). CONCLUSION: findings suggest that Organization factors are the basic reasons associated with occupational accidents and the main indicator of safety and health performance.

Synthesis and characterization of Ag-ion-exchanged zeolite/TiO2 nanocomposites for antibacterial applications and photocatalytic degradation of antibiotics.

This paper investigates the synthesis, antibacterial, and photocatalytic properties of silver ion-exchanged natural zeolite/TiO2 photocatalyst nanocomposite. Zeolite is known to have a porous surface structure, making it an ideal substrate and framework in different nanocomposites. Moreover, natural zeolite has a superior thermal and chemical stability, with hardly any reactivity with chemicals. Finding an effective and low-cost method to remove both antibiotics and bacteria from water resources has become a vital global issue due to the worldwide excessive use of chemicals and antibiotics. This research aims to propose a facile method to synthesize Ag-ion-exchanged zeolite/TiO2 catalyst for anti-bacterial purposes and photocatalytic removal of atibiotics from wastewaters. TiO2 particles were deposited on the surface of natural zeolite. Ag ion exchanging was performed via a liquid ion-exchange method using 0.1 M AgNO3 solution. X-ray diffractometry (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and Fourier-transform infrared spectroscopy (FTIR) were used to evaluate the structure of synthesized powders. Antibacterial activities of samples were assessed, using Staphylococcus aureus ATCC 25923 and Escherichia coli ATCC 25922 by disc diffusion method. It was shown that Ag-containing nanocomposite samples have an improved antibacterial performance in both cases. Results showed that the synthesized catalyst has promising potentials in wastewater treatment.

Comparison of different deep learning architectures for synthetic CT generation from MR images.

PURPOSE: Among the different available methods for synthetic CT generation from MR images for the task of MR-guided radiation planning, the deep learning algorithms have and do outperform their conventional counterparts. In this study, we investigated the performance of some most popular deep learning architectures including eCNN, U-Net, GAN, V-Net, and Res-Net for the task of sCT generation. As a baseline, an atlas-based method is implemented to which the results of the deep learning-based model are compared. METHODS: A dataset consisting of 20 co-registered MR-CT pairs of the male pelvis is applied to assess the different sCT production methods' performance. The mean error (ME), mean absolute error (MAE), Pearson correlation coefficient (PCC), structural similarity index (SSIM), and peak signal-to-noise ratio (PSNR) metrics were computed between the estimated sCT and the ground truth (reference) CT images. RESULTS: The visual inspection revealed that the sCTs produced by eCNN, V-Net, and ResNet, unlike the other methods, were less noisy and greatly resemble the ground truth CT image. In the whole pelvis region, the eCNN yielded the lowest MAE (26.03 ± 8.85 HU) and ME (0.82 ± 7.06 HU), and the highest PCC metrics were yielded by the eCNN (0.93 ± 0.05) and ResNet (0.91 ± 0.02) methods. The ResNet model had the highest PSNR of 29.38 ± 1.75 among all models. In terms of the Dice similarity coefficient, the eCNN method revealed superior performance in major tissue identification (air, bone, and soft tissue). CONCLUSIONS: All in all, the eCNN and ResNet deep learning methods revealed acceptable performance with clinically tolerable quantification errors.

Facile Synthesis of Ag Nanowire/TiO2 and Ag Nanowire/TiO2/GO Nanocomposites for Photocatalytic Degradation of Rhodamine B.

This paper investigates the photocatalytic characteristics of Ag nanowire (AgNW)/TiO2 and AgNW/TiO2/graphene oxide (GO) nanocomposites. Samples were synthesized by the direct coating of TiO2 particles on the surface of silver nanowires. As-prepared AgNW/TiO2 and AgNW/TiO2/GO nanocomposites were characterized by electron microscopy, X-ray diffraction, UV/visible absorption spectroscopy, and infrared spectroscopy. Transmission electron microscope (TEM) images confirmed the successful deposition of TiO2 nanoparticles on the surface of AgNWs. The photocatalytic activity of synthesized nanocomposites was evaluated using Rhodamine B (RhB) in an aqueous solution as the model organic dye. Results showed that synthesized AgNW/TiO2/GO nanocomposite has superior photocatalytic activities when it comes to the decomposition of RhB.

Corrosion-Fatigue Failure of Gas-Turbine Blades in an Oil and Gas Production Plant.

This paper investigates the root cause of a failure in gas-turbine blades, made of Nimonic-105 nickel-based superalloy. The failure was reported in two blades in the second stage of a turbine-compressor of a gas turbine in the hot section. Two failed blades were broken from the root and from the airfoil. The failure took place after 20 k h of service exposure in the temperature range 700-850 °C, with the rotating speed being in the range 15,000-16,000 rpm. The microstructures of the failed blades were studied using optical/electron microscopes. Energy dispersive X-ray spectroscopy (EDS) was employed for phase identification. Results showed that failure first initiated from the root. The dominant failure mechanism in the root was concluded to be corrosion-fatigue. The failure scenario was suggested based on the results obtained.

Towards Multi-Functional SiO2@YAG:Ce Core-Shell Optical Nanoparticles for Solid State Lighting Applications.

This paper aims to investigate the synthesis, structure, and optical properties of SiO2@YAG:Ce core-shell optical nanoparticles for solid state lighting applications. YAG:Ce phosphor is a key part in white light emitting diodes (LEDs), with its main functionality being the generation of yellow light. Generated yellow light from phosphor will be combined with blue light, emitted from chip, resulting in the generation of white light. Generated light in LEDs will often be scattered by SiO2 nanoparticles. SiO2 nanoparticles are often distributed within the optical window, aiming for a more homogeneous light output. The main idea in this research is to combine these functionalities in one core-shell particle, with its core being SiO2 and its shell being phosphor. In this study core-shell nanoparticles with different Ce3+ concentrations were synthesized by a sol-gel method. Synthesized nanoparticles were characterized by X-ray diffraction (XRD), small angle X-ray scattering (SAXS) analysis, high resolution transmission electron macroscopy (HRTEM), Fourier transform infrared (FTIR), and photoluminescence spectroscopy. Luminescence characteristics of SiO2@YAG:Ce core-shell particles were compared with that of SiO2/YAG:Ce mixture composite, which is now used in commercial LEDs. Obtained results showed that core-shell nanoparticles have comparatively much better optical properties, compared to SiO2/YAG:Ce mixture composite and can therefore be potentially used in LEDs.

Wear Induced Failure of Automotive Disc Brakes-A Case Study.

This paper investigated a failure in a ventilated disc brake in an automobile. The failed brake disc had been in service for approximately 10 years. The observed failure was in the form of radial cracks that appeared to have initiated at the outer edge of the disc brake. The cracks were rather straight with no branching. Optical microscope, scanning electron microscope (SEM), and energy dispersive X-ray spectroscopy (EDS) were used to study the microstructure of the failed disc. Vickers microhardness test was also used to evaluate the hardness of the samples. Results showed that the root cause of crack formation, in this case, was related to the excessive wear in the brake disc. Different wear mechanisms, namely abrasive and adhesive wear, were recognized in the failed specimen. Moreover, the worn surface in some areas was covered with fine oxide particles. These particles appeared to have a significant contribution toward abrasion. To further understand the wear mechanisms, pin-on-disc experiments were also conducted on the samples. Results of the pin-on-disc experiments were compared and correlated to the results obtained from the failed brake disc.

Molecular Characterization and Phylogenetic Congruence of Hydropsyche sciligra (Tricoptera: Hydropsychidae) Using Mitochondrial and Nuclear Markers.

BACKGROUND: Caddisflies have significant roles in freshwater ecosystems. Morphological identification is the major impediment in accurate species identification of Hydropsychids. Mitochondrial and nuclear markers are suitable for molecular systematics of these group of arthropods. METHODS: Trichopteran specimens of Lavasan District in northeastern Tehran, Iran were collected in 2012, and described using the morphological and molecular characters of mitochondrial cytochrome c oxidase subunit I (mt-COI) and three expansion fragments of large subunit (LSU) nuclear ribosomal DNA (28S rDNA) D1, D2, and D3. The resemblance of the specimen sequences was obtained by conducting BLAST searches against the GenBank database and by using simple maximum likelihood clustering using COI, D1, D2, D3, and combination of D1-D2-D3 sequence data sets. RESULTS: Based on morphological traits the specimens were resembled to Hydropsyche sciligra however there were no its counterpart sequences in the GenBank. Due to lack of unique group of data set for each gene fragment, the specimens were associated with different taxa on molecular phylograms. The sequence contents of the COI, D1, D2, D3, and D1-D3 regions clustered H. sciligra with H. brevis, H. angustipennis, H. occidentalis, H. hedini, H. grahami, and H. longifurca/H. naumanni, respectively. CONCLUSION: Phylogenies obtained from combination of D1-D3 showed the highest bootstrap values for most of clades suggesting that long LSU-rDNA potentially is more useful for understanding phylogenetic relationships of caddisflies. A large-scale molecular and zoogeographic study on trichopteran species is suggested to revise and to develop the current knowledge of the caddisfly fauna and distributions in the country.

Notes on the Iran Caddisflies and Role of Annulipalpian Hydropsychid Caddisflies as a Bio-monitoring Agent.

BACKGROUND: Eco-faunistic studies are inevitable step in environmental researches. Aquatic organisms like caddisflies are known as biological indicators for water quality assessment and water resource management. They have special role for energy flow in the freshwater habitats as food web and food chain among aquatic creatures. METHODS: In addition to an extensive literature review on Iran Caddisflies, a field study was carried out in Lavasan river flows in north east of Tehran to collect aquatic insects using D-frame nets and or direct search on stone beneath. The water quality was measured using analytical method. RESULTS: Literature revealed record of 62 trichopterid species in the country comprising 14 families. The most abundant species belonged to the Hydropsychidae. Herein we report presence of the Annulipalpian Hydropsyche sciligra H Malicky, 1977 in the study area. Habitat water quality of H. sciligra resembled human drinkable water. However presence of snail, Physa acuta and fish Capoeta buhsei in the water sampling area indicated inferior quality. CONCLUSION: From ecological point of view caddisfly larvae are predators of most important medical vectors like mosquitoes, blackflies and midges. Also they are useful and important indicator for monitoring physicochemical effects in the nature, so that they can be used for bio-monitoring program. From medical point of view, wing hairs or other body parts of caddisflies can be inhalant and contact allergens in Trichopterists and in sensitive individuals who come in contact.