In the present study, tensile properties, plastic flow behaviour and impact toughness of Nickel free High Nitrogen Austenitic Stainless Steels (NFHNSS) were evaluated under solution annealed and aged condition (at 700 oC, 800 oC and 900 oC for 14 hours). Plastic flow behaviour was analyzed using Holloman and Ludwigson flow equations. Samples in solution annealed and aged conditions exhibited a flow transition behaviour. Ludwigson flow equation produces best fit for flow transition behaviour. Transmission Electron Microscope (TEM) investigations of NFHNSS samples after tensile test revealed dislocation network and planar arrangement of dislocations adjancent to Grain Boundaries (GB) in the solution annealing and aged conditions respectively. Plastic deformation of NFHNSS occurs by a combination of planar glide and twinning. Impact energy was significantly higher in solution annealed condition than aged condition. Impact energy values decreased with increasing aging temperature. Precipitation and growth as well as morphology of Cr2N at the GBs reduce the impact energy values significantly. Presence of larger precipitates readily pull out from GB easily than smaller precipitates at low temperatures. Large precipitate, at the GB’s readily pull out at low temperature, compared to slower ones.

Abstract Background Robotic-Assisted Hysterectomies (RAH) require Trendelenburg positioning and pneumoperitoneum, which further accentuate alteration in respiratory mechanics induced by general anesthesia. The role of Recruitment Maneuver (RM) as a lung-protective strategy during intraoperative surgical settings has not been much studied. We planned this study to evaluate the effect of RM on perioperative oxygenation and postoperative spirometry using PaO2/FiO2 and FEV1/FVC, respectively in patients undergoing RAH. Methods Sixty-six ASA I‒II female patients scheduled for elective RAH were randomized into group R (recruitment maneuver, n = 33) or group C (control, n = 33). Portable spirometry was done one day before surgery. Patients were induced with general anesthesia, and mechanical ventilation started with volume control mode, with Tidal Volume (TV) of 6-8 mL.kg−1, Respiratory Rate (RR) of 12 min, inspiratory-expiratory ratio (I: E ratio) of 1:2, FiO2 of 0.4, and Positive End-Expiratory Pressure (PEEP) of 5 cmH2O. Patients in group R received recruitment maneuvers of 30 cmH2O every 30 minutes following tracheal intubation. The primary objectives were comparison of oxygenation and ventilation between two groups intraoperatively and portable spirometry postoperatively. Postoperative pulmonary complications, like desaturation, pulmonary edema, pneumonia, were monitored. Results Patients who received RM had significantly higher PaO2 (mmHg) (203.2+-24.3 vs. 167.8+-27.3, p < 0.001) at T2 (30 min after the pneumoperitoneum). However, there was no significant difference in portable spirometry between the groups in the postoperative period (FVC, 1.40 ± 0.5 L vs. 1.32 ± 0.46 L, p= 0.55). Conclusion This study concluded that intraoperative recruitment did not prevent deterioration of postoperative spirometry values; however, it led to improved oxygenation intraoperatively.

ABSTRACT This study simulates an unusual extreme rainfall event that occurred in Salvador city, Bahia, Brazil, on December 9, 2017, which was named subtropical storm Guará and had precipitation of approximately 24 mm within less than 1 h. Numerical simulations were conducted using the Weather Research and Forecasting (WRF) model over three domains with horizontal resolutions of 9, 3, and 1 km. Different combinations of seven microphysics, three cumulus, and three planetary boundary layer schemes were evaluated based on their ability to simulate the hourly precipitation during this rainfall event. Statistical indices (MB = -0.69; RMSE = 4.11; MAGE = 1.74; r = 0.55; IOA = 0.66; FAC2 = 0.58) and time series plots showed that the most suitable configurations for this weather event were the Mellor-Yamada-Janjić, Grell-Freitas, and Lin formulations for the planetary boundary layer, cumulus, and microphysics schemes, respectively. The results were compared with the data measured at meteorological stations located in Salvador city. The WRF model simulated well the arrival and occurrence of this extreme weather event in a tropical and coastal region, considering that the region already has intense convective characteristics and is constantly influenced by sea breezes, which could interfere in the model results and compromise the performance of the simulations.

RESUMEN El presente estudio simula un evento inusual de lluvia extrema ocurrido en la ciudad de Salvador, Bahía, Brasil, el 9 de diciembre de 2017, que se denominó tormenta subtropical Guará y tuvo una precipitación de aproximadamente 24 mm en menos de 1 h. Se realizaron simulaciones numéricas utilizando el modelo Weather Research and Forecasting (WRF) en tres dominios con resoluciones horizontales de 9, 3 y 1 km. Se evaluaron diferentes combinaciones de siete esquemas de microfísica, tres cumulus y tres capas límites planetarias en función de su capacidad para simular la precipitación horaria durante este evento de lluvia. Los índices estadísticos (MB = -0.69; RMSE = 4.11; MAGE = 1.74; r = 0.55; IOA = 0.66, y FAC2 = 0.58) y los gráficos de series temporales mostraron que las configuraciones más adecuadas para este evento meteorológico fueron las de Mellor-Yamada-Janjić, Grell-Freitas y Lin para los esquemas de capa límite planetaria, cumulus y microfísica, respectivamente. Los resultados se compararon con los datos medidos en las estaciones meteorológicas ubicadas en la ciudad de Salvador. El modelo WRF simuló bien la llegada y ocurrencia de este evento climático extremo en una región tropical y costera, considerando que la región ya tiene características convectivas intensas y está constantemente influenciada por brisas marinas, las cuales podrían interferir con los resultados del modelo y comprometer el desempeño de las simulaciones.

Abstract In the current scenario while everything seems digitalized, we often spend more time scrolling across various social platforms as compared to what we spend in any other real life activities. It becomes a matter of great concern when it comes to analyze what we see and how it is interpreted. Through this paper we aims to identify the influence of technology assisted social-reform initiatives on gender-based hate content generation. With the help of Twitter API, 112577 government-initiated and 58370 citizen-initiated movement(s) tweets have been extracted. This collected data is examined for hatred nature content in terms of emotions using a software programmed in R programming language, the scores for each emotion is counted and a comparison between both the moments is made. The study clearly shows that the Citizen-initiated moments shares comparatively more hate content than the Government-initiated movements as the scores particular to specific emotions like anger, disgust, and sadness is more. This cognitive study can be helpful in policy making, promoting gender based equality, defining strategies to rebuild citizen initiatives in a hate-free environment and controlling hate content generation.

Abstract: Let R be a ring with involution containing a nontrivial symmetric idempotent element e and δ: R → R be a generalized ∗−reverse derivable map. In this paper, our aim is to show that under some suitable restrictions imposed on R every generalized ∗−reverse derivable map of R is additive.

Abstract For a given graph G, its line graph denoted by L(G) is a graph whose vertex set V (L(G)) = E(G) and {e1, e2} ∈ E(L(G)) if e1 and e2 are incident to a common vertex in G. Let R be a finite commutative ring with nonzero identity and G(R) denotes the unit graph associated with R. In this manuscript, we have studied the line graph L(G(R)) of unit graph G(R) associated with R. In the course of the investigation, several basic properties, viz., diameter, girth, clique, and chromatic number of L(G(R)) have been determined. Further, we have derived sufficient conditions for L(G(R)) to be Planar and Hamiltonian.

Abstract: The present study was carried out to evaluate the effects of microwave (MW) radiation on viability of wood decaying fungi. The white rot (Trametes versicolor) and brown rot (Rhodonia placenta) fungi were grown on bamboo culm-samples. The mycelium growths were observed in controlled as well as microwave treated samples. The results showed that the viability of fungi decreased according to the applied MW time. This study proved the ability of the microwaves and exposure time MW3 (180 seconds) to kill the fungal colonies and do not allow for the growth of fungal spores, means the rate of growth of fungal colonies is inversely proportional to time of microwave exposure.

RESUMEN Este documento presenta la aplicación de redes neuronales artificiales (ANN) y el análisis de regresión multivariable (MRA) para predecir la capacidad de carga y el asentamiento de las zapatas bordeadas de bordes múltiples en arena. Estos parámetros se definen, respectivamente, en términos de la relación de capacidad de carga (BCR) de carga de la zapata con zócalo y sin zócalo y el factor de reducción de asentamiento (SRF), la razón de la diferencia en la solución de zócalo sin zócalo y zapatas bordeadas para el asentamiento de zapatas sin falda a una presión determinada. Las ecuaciones modelo para predecir la BCR y el SRF de la zapata de forma regular se desarrollaron primero utilizando los datos disponibles recopilados de la literatura. Estas ecuaciones se modificaron posteriormente para predecir la BCR y el SRF de la zapata bordeada de bordes multiples, para la cual se generaron los datos mediante la realización de una prueba de laboratorio a pequeña escala. Los parámetros de entrada elegidos para desarrollar modelos ANN fueron el ángulo de fricción interna (𝜙), la profundidad del faldón (D s ) al ancho de la relación de zapata (B) para la predicción del BCR; en cuanto al SRF, se consideró un parámetro de entrada adicional: la tensión normal (σ). La arquitectura para los modelos ANN desarrollados fue 2-2-1 y 3-2-1 para la BCR y el SRF, respectivamente. El R para las zapatas bordeadas de bordes múltiples estuvo en el rango de 0,940-0,977 para el modelo ANN y 0,827-0,934 para el análisis de regresión. De manera similar, el R para la predicción del SRF pudo haber sido de 0,913-0,985 para el modelo ANN y 0,739-0,932 para el análisis de regresión. Se reveló que la BCR predicha y el SRF para las zapatas con borde de múltiples bordes con el uso de ANN es superior al MRA. Además, los resultados del análisis de sensibilidad indican que tanto el BCR como el SRF de las zapatas bordeadas de bordes múltiples se ven más afectados por la profundidad de la falda, seguida del ángulo de fricción de la arena.

ABSTRACT This paper presents the application of artificial neural networks (ANN) and multivariable regression analysis (MRA) to predict the bearing capacity and the settlement of multi-edge skirted footings on sand. Respectively, these parameters are defined in terms of the bearing capacity ratio (BCR) of skirted to unskirted footing and the settlement reduction factor (SRF), the ratio of the difference in settlement of unskirted and skirted footing to the settlement of unskirted footing at a given pressure. The model equations for the prediction of the BCR and the SRF of the regular shaped footing were first developed using the available data collected from the literature. These equations were later modified to predict the BCR and the SRF of the multi-edge skirted footing, for which the data were generated by conducting a small scale laboratory test. The input parameters chosen to develop ANN models were the angle of internal friction (𝜙) and skirt depth (D s ) to the width of the footing (B) ratio for the prediction of the BCR; as for the SRF one additional input parameter was considered: normal stress (σ). The architecture for the developed ANN models was 2-2-1 and 3-2-1 for the BCR and the SRF, respectively. The R for the multi-edge skirted footings was in the range of 0,940-0,977 for the ANN model and 0,827-0,934 for the regression analysis. Similarly, the R for the SRF prediction might have been 0,913-0,985 for the ANN model and 0,739-0,932 for the regression analysis. It was revealed that the predicted BCR and SRF for the multi-edge skirted footings with the use of ANN is superior to MRA. Furthermore, the results of the sensitivity analysis indicate that both the BCR and the SRF of the multi-edge skirted footings are mostly affected by skirt depth, followed by the friction angle of the sand.

Abstract The focus of this work is to elucidate the nature of a hydrodynamic hybrid nanofluid in a moving frame. Solar radiation and the sphericallyshaped particle approximation are implemented. The implication of suitable transformation corresponds to self-similarity equations. Least square and RKF 45 th -order techniques are employed to evaluate these non-dimensional equations. For better understanding of the problem, energy and flow features are demonstrated for distinct physical constraints. It is recognized that the transfer of fluid heat is pronounced for enhancing R but dismisses in rising values of Pr. A higher value of indicates that more heat is transferred to the liquid, which translates into a a temperature rise.

Characterisation of heritage cementing materials has become a topic of great importance in the protection of culture and history for future generations. The original cementing material analysis helps to achieve compatible and long-term restoration of heritage buildings. The analysis is done for different purposes - research, compatibility assessment prior to restoration and/or documentation. There are several analytical techniques that many researchers use for analysing the composition of original cementing materials. However, until the present time, the choice of the analytical method depended solely on the researchers' discretion and personal preference. The common methods include microscopic, wet chemical and x-ray analyses. The purpose of this paper is to review the technical literature pertaining to the characterisation (physical, chemical, mineralogical and mechanical) of original heritage cementing materials and its application in proposed restoration work. The knowledge of originally used materials and types of binder, aggregates and additives (in some cases) is considered a useful tool in the search of the compatible repair materials by the construction industry, especially in South Africa where the standard procedure for heritage cementing material characterisation has not been well documented.

Abstract Fifty wheat genotypes were evaluated at nine diverse locations in India to identify high-yielding and stable genotypes. The analysis of variance based on additive main effects and multiplicative interaction (AMMI) indicated significant genotype, environment and genotype - environment (GE) interactions, with a total variation of 5.99, 20.23 and 73.77%, respectively. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield in a single non-parametric index were used to discriminate the genotypes with highest and stable yield; the genotypes G135, G125, G104, G112 and G144 were found to be promising. Two mega environments (ME) were identified based on GGE (genotype and GE interaction) biplot analysis and the genotypes G119 and G120 and G107, G148 and G146 performed best in the mega-environments ME I and ME II, respectively. Both approaches allowed the identification of stable genotypes (G112 and G135), which can be included in the national testing program, with a view to release a new variety.

BACKGROUND: To determine the mismatch repair (MMR) protein loss in colorectal cancer (CRC) in north Indian patients and its clinicopathological correlation. METHODS: A prospective study on patients with colorectal cancer from a tertiary level hospital conducted between May 2014 and June 2015. MMR protein loss was determined using immunohistochemistry for MLH1, MSH2, PMS2 and MSH6. RESULTS: 52 patients (38 male and 14 females) of CRC, with median age of 52.5 years who underwent resection form the study group. 18 (35%) patients were < 50 years of age. Family history of malignancy was present in 3 (6 %) patients. A total of 15 (29%) patients had loss of MMR protein of which 7 (46%) were < 50 years. Most common MMR loss was combined loss of MSH2 + MSH6 [6 (11.5%)] followed by isolated loss of PMS2 [5 (9.6%)]. MMR protein loss was more frequent in patients with right side colon cancer [12 (42%)] compared to left [3 (13%)] (p = 0.033). MMR protein loss was seen in 11 (34%) out of 32 patients fulfilling the revised Bethesda criteria compared to 4 (20%) out of 20 patients who did not fulfil the criteria (p = 0.352). CONCLUSION: This study demonstrates high frequency of MMR protein loss in colorectal cancer in north Indian patients which was more common in right colon cancer. Many patients having MMR protein loss do not satisfy the revised Bethesda criteria and would have been missed if selective testing was done. Further research and larger studies are required to validate these findings and develop India specific clinical criteria.

Abstract A three-dimensional elastic-plastic finite element analysis (FEA) is carried out to estimate the rolling contact fatigue (RCF) crack initiation life for varied slip range on the rail arising from operational variations. The wheel load produces Hertzian contact pressure. Variation in engine traction induces slip variations that evolves thermal load in terms of heat flux. The aperiodic rolling of wheel on rail develops non-proportional multiaxial fatigue loading. Present study combines these effects by translating the wheel load on rail for multiple (twelve) pass in presence of thermal load, contact pressure and traction through a proposed simulation. The temperature dependent Chaboche material model with nonlinear kinematic hardening law is implemented to estimate the stresses and plastic strains governing the multiaxial fatigue condition at the interface. The location of maximum von Mises stress, found at a material point on or a layer below the rail-head, contemplates the fatigue crack initiation site. A coded search algorithm helps to identify the critical plane of crack initiation corresponding to the maximum fatigue parameter (FP). In contrast to available predictions of RCF life considering contact pressure and/or traction or frictional heat in isolation, present study combines all these loads together and provides a more realistic result by numerical simulation.

AIM: To determine the mismatch repair (MMR) protein loss in colorectal cancer (CRC) in north Indian patients and its clinicopathological correlation. METHODS: A prospective study on patients with colorectal cancer from a tertiary level hospital conducted between May 2014 and June 2015. MMR protein loss was determined using immunohistochemistry for MLH1, MSH2, PMS2 and MSH6. RESULTS: 52 patients (38 male and 14 females) of CRC, with median age of 52.5 years who underwent resection form the study group. 18 (35%) patients were < 50 years of age. Family history of malignancy was present in 3 (6 %) patients. A total of 15 (29%) patients had loss of MMR protein of which 7 (46%) were < 50 years. Most common MMR loss was combined loss of MSH2 + MSH6 [6 (11.5%)] followed by isolated loss of PMS2 [5 (9.6%)]. MMR protein loss was more frequent in patients with right side colon cancer [12 (42%)] compared to left [3 (13%)] (p = 0.033). MMR protein loss was seen in 11 (34%) out of 32 patients fulfilling the revised Bethesda criteria compared to 4 (20%) out of 20 patients who did not fulfil the criteria (p = 0.352). CONCLUSION: This study demonstrates high frequency of MMR protein loss in colorectal cancer in north Indian patients which was more common in right colon cancer. Many patients having MMR protein loss do not satisfy the revised Bethesda criteria and would have been missed if selective testing was done. Further research and larger studies are required to validate these findings and develop India specific clinical criteria.

Abstract This paper describes a method using Quantum Particle Swarm Optimization to obtain a broadband frequency invariant pattern for synthesis of nonuniformly spaced linear array of isotropic antennas. Two cases related to this work using QPSO have been studied, namely, in the first case, the generated frequency invariant far-field pattern is broadside in the vertical plane and in the second case, the far-field frequency invariant pattern is scanned in a particular direction. An effort is made such that the side lobe level and first null beam widths of the patterns are made similar to their related desired values. The two cases are presented in this paper to show the effectiveness of the proposed method in achieving the desired specifications. Even though, the developed method is utilized here for a linear array of isotropic antennas; it can be extended to other type of arrays. The performance of this algorithm is validated by duly comparing it with firefly algorithm.