According to the World Health Organization (WHO), the coronavirus (COVID-19) pandemic is putting even the best healthcare systems across the world under tremendous pressure. The early detection of this type of virus will help in relieving the pressure of the healthcare systems. Chest X-rays has been playing a crucial role in the diagnosis of diseases like Pneumonia. As COVID-19 is a type of influenza, it is possible to diagnose using this imaging technique. With rapid development in the area of Machine Learning (ML) and Deep learning, there had been intelligent systems to classify between Pneumonia and Normal patients. This paper proposes the machine learning-based classification of the extracted deep feature using ResNet152 with COVID-19 and Pneumonia patients on chest X-ray images. SMOTE is used for balancing the imbalanced data points of COVID-19 and Normal patients. This non-invasive and early prediction of novel coronavirus (COVID-19) by analyzing chest X-rays can further be used to predict the spread of the virus in asymptomatic patients. The model is achieving an accuracy of 0.973 on Random Forest and 0.977 using XGBoost predictive classifiers. The establishment of such an approach will be useful to predict the outbreak early, which in turn can aid to control it effectively.

A membrane with interpenetrating networks between poly͑vinyl alcohol͒ ͑PVA͒ and poly͑styrene sulfonic acid͒ ͑PSSA͒ coupled with a high proton conductivity is realized and evaluated as a proton exchange membrane electrolyte for a direct methanol fuel cell ͑DMFC͒. Its reduced methanol permeability and improved performance in DMFCs suggest the new blend as an alternative membrane to Nafion membranes. The membrane has been characterized by powder X-ray diffraction, scanning electron microscopy, time-modulated differential scanning calorimetry, and thermogravimetric analysis in conjunction with its mechanical strength. The maximum proton conductivity of 3.3 ϫ 10 −2 S/cm for the PVA-PSSA blend membrane is observed at 373 K. From nuclear magnetic resonance imaging and volume localized spectroscopy experiments, the PVA-PSSA membrane has been found to exhibit a promising methanol impermeability, in DMFCs. On evaluating its utility in a DMFC, it has been found that a peak power density of 90 mW/cm 2 at a load current density of 320 mA/cm 2 is achieved with the PVA-PSSA membrane compared to a peak power density of 75 mW/cm 2 at a load current density of 250 mA/cm 2 achievable for a DMFC employing Nafion membrane electrolyte while operating under identical conditions; this is attributed primarily to the methanol crossover mitigating property of the PVA-PSSA membrane. Direct methanol fuel cells ͑DMFCs͒ using a proton exchange membrane have been identified as one of the most promising candidates for portable power applications.1,2 Unlike hydrogen-air polymer electrolyte fuel cells, DMFCs do not require a fuel reformer or a high-volume hydrogen storage system. The membrane electrolyte employed with the DMFC, besides exhibiting a good proton conductivity, should act as a physical separator to prevent fuel crossover from the anode to the cathode. At present, Nafion a perfluorosulfonated membrane with a hydrophobic fluorocarbon backbone and hydrophilic sulfonic acid pendant side chains, happens to be the only commercially available and widely used membrane electrolyte in the DMFC. It has been documented that proton conduction in Nafion occurs through the ionic channels formed by micro-or nanophase separation between the hydrophilic proton exchange sites and the hydrophobic domains.3 However, the methanol crossover from anode to cathode across the Nafion membrane brings about a mixed potential at the cathode causing both the loss of fuel and cell polarization impeding their commercial realization. [4][5][6] It has been reported that even over 40% of methanol could be lost in a DMFC due to crossover across the membrane.7 Methanol crossover across the Nafion membrane can be kept to a minimum by controlling the methanol-feed concentration. Alternatively, membranes that are relatively impermeable to methanol have been employed for this purpose. [8][9][10][11][12] Membranes with a lower methanol permeability allow a higher methanol-feed concentration, enhancing the performance of the DMFC. To optimize fuel cell performance, it is neces...

Let G be a finite simple graph and I(G) denote the corresponding edge ideal. For all s ≥ 1, we obtain upper bounds for reg(I(G) s ) for bipartite graphs. We then compare the properties of G and G ′ , where G ′ is the graph associated with the polarization of the ideal (I(G) s+1 : e 1 · · · e s ), where e 1 , . . . e s are edges of G. Using these results, we explicitly compute reg(I(G) s ) for several subclasses of bipartite graphs.

Regeneration of skeletal muscles is limited in cases of volumetric muscle loss and muscle degenerative diseases. Therefore, there is a critical need for developing strategies that provide cellular and structural support for skeletal muscle regeneration. In the present work, a bioengineered cell niche composed of mechanically competent aligned polyester fiber scaffolds is developed to mimic the oriented muscle fiber microenvironment by electrospinning poly(lactide-co-glycolide) (PLGA) using a custom-designed rotating collector with interspaced parallel blades. Aligned fiber scaffolds with fiber diameters ranging from 335 ± 154 nm to 3013 ± 531 nm are characterized for their bioactivities in supporting growth and differentiation of myoblasts. During in vitro culture, polymeric scaffolds with larger fiber diameter support enhanced alignment, growth, and differentiation of myoblasts associated with phosphorylation of p38 MAPK and upregulated expression of myogenin and myosin heavy chain. In vivo studies using a dystrophin-deficient mdx mouse model show that optimized fiber scaffolds seeded with primary myoblasts result in formation of dystrophin-positive myofibers network in tibialis anterior muscles. Collectively, these experiments provide critical insights on harnessing interactions between muscle cells and engineered fiber matrices to develop effective biomaterials for accelerated muscle regeneration.

We prove that the strong chromatic index of a 2‐degenerate graph is linear in the maximum degree Δ. This includes the class of all chordless graphs (graphs in which every cycle is induced) which in turn includes graphs where the cycle lengths are multiples of four, and settles a problem by Faudree et al. (Ars Combin 29(B) (1990), 205–211). © 2012 Wiley Periodicals, Inc. J. Graph Theory 73: 119–126, 2013