Analysis of the Urduization Trend in Bapsi Sidhwa’s Novels

The study investigated the trend of Urduization in Bapsi Sidhwa’s novels; “The Crow Eaters” (1978) and “Water” (2006), with a focus on the use of Urduized nouns in the two novels. Urduization is the process of adding words from Urdu into the English language (Ali & Ijaz, 2009). Pakistani literature in English began to make its presence felt both nationally and internationally in the 1970s. A significant feature of this literature was the language used by the Pakistani writers. The unrestrained use of local words and expressions, reflected a new confidence in the use of the English language by the Pakistani writers. Pakistani English (PE) as a non-native variety displayed the unique characteristics and features of cultural influence of the society. The borrowing of words from Urdu and the regional languages and incorporating them into structures and expressions signified the independent development of PE. A mixed method approach was employed and data was collected from a corpus of Urduized nouns, developed following the research pathway of Ahmed and Ali (2014), by creating contextualized categories of the nouns used in the two novels. Documentary evidence in the form of author interviews also formed part of the analysis. Findings showed that the extent of urduization remained the same with the author’s use of urduized words in both her novels very nearly following similar trends. Most words were added to provide contextual clarity and create interest, demonstrating a consistency in her writing style over three decades. Keywords: Urduization; Pakistani English; Cultural influence; Contextualized categories; Writing Style DOI: 10.7176/JEP/12-11-06 Publication date: April 30th 2021

Investigations of 2-Thiazoline-2-thiol as a Ligand: Synthesis and X-ray Structures of [Mn\u3csub\u3e2\u3c/sub\u3e(CO)\u3csub\u3e7\u3c/sub\u3e(\u3cem\u3eμ\u3c/em\u3e-NS\u3csub\u3e2\u3c/sub\u3eC\u3csub\u3e3\u3c/sub\u3eH\u3csub\u3e4\u3c/sub\u3e)\u3csub\u3e2\u3c/sub\u3e] and [Mn(CO)\u3csub\u3e3\u3c/sub\u3e(PPh\u3csub\u3e3\u3c/sub\u3e)(\u3cem\u3eκ\u3c/em\u3e\u3csup\u3e2\u3c/sup\u3e-NS\u3csub\u3e2\u3c/sub\u3eC\u3csub\u3e3\u3c/sub\u3eH\u3csub\u3e4\u3c/sub\u3e)]

Treatment of Mn2(CO)10 with 2-thiazoline-2-thiol in the presence of Me3NO at room temperature afforded the dimanganese complexes [Mn2(CO)7(μ-NS2C3H4)2] (1) and [Mn2(CO)6(μ-NS2C3H4)2] (2) in 51 and 34% yields, respectively. Compound 1 was quantitatively converted into 2 when reacted with one equiv of Me3NO. Reaction of 1 with triphenylphosphine at room temperature furnished the mononuclear complex [Mn(CO)3(PPh3)(κ 2-NS2C3H4)] (3) in 66% yield. All three new complexes have been characterized by elemental analyzes and spectroscopic data together with single crystal X-ray diffraction studies for 1 and 3. Compound 1 crystallizes in the orthorhombic space group Pbca with a = 12.4147(2), b = 16.2416(3), c = 19.0841(4) Å, β = 90°, Z = 8 and V = 3848.01(12) Å3 and 3 crystallizes in the monoclinic space group P 21/n with a = 10.41730(10), b = 14.7710(2), c = 14.9209(2) Å, β = 91.1760(10)°, Z = 4 and V = 2295.45(5) Å3

Adjustment of Numerical Simulation Model to the Investment Casting Process

This paper presents the adjustment process of a simulation model to improve the correlation between simulation results and parts industrially manufactured. It includes the data registration at foundry plant, the preliminary set-up of the model and the later adjustment process to reach a correlation level according to the industrial necessities. The adjustment has been performed by means of inverse modelling. This technique uses thermal histories experimentally registered as base, and modifies the material properties and boundary conditions used in simulation until reaching a good correlation between numerical simulated cooling curves and they registered experimentally. The adjustment has been also focused on the shrinkage defects. The simulation model is a FEM model developed in commercial software specifically focused on metal casting simulation. The case of study is an investment casting process, vacuum poured, of a nickel base superalloy designated Hastelloy X. Usual in the manufacture of components for aeronautical turbines.GALDATEK project, funded by the INNOTEK program of the Basque Government (Department of Industry and Innovation)

Barriers in Social Distancing during Covid19 pandemic - Is a message for forced lockdown

The world currently faces the predicament of the fast-spreading COVID-19 which as of 21st April 2020 affects 210 countries over the globe. As the disease started spreading its shadow at an alarmingly rapid rate, new information about the novel coronavirus was extracted and it has been reported to be mainly transmitted directly from person-to-person, droplet spread by cough or sneezing or by fomites. Till an effective vaccine becomes available the most potent preventive measure that can be taken is for people to maintain distance and avoid gatherings. Importance of social distancing has been discussed on many forums and disseminated among the public but the problem arises when the practical implementation does not encompass the entirety of the theoretical concepts. Understanding the barriers that stand between applying social distance in community is imperative if authorities and public health sectors expect a substantial change in incident cases. It's imperative that measures should be taken to stop the spread of misinformation, and guide the masses regarding the importance of social distancing. Since the virus spreads by droplet transmission, so without these proper social distancing measures, the burden will increase and it will not be possible to put a stop to this pandemic

Role of CO2, climate and land use in regulating the seasonal amplitude increase of carbon fluxes in terrestrial ecosystems: A multimodel analysis

© Author(s) 2016.We examined the net terrestrial carbon flux to the atmosphere (FTA) simulated by nine models from the TRENDY dynamic global vegetation model project for its seasonal cycle and amplitude trend during 1961-2012. While some models exhibit similar phase and amplitude compared to atmospheric inversions, with spring drawdown and autumn rebound, others tend to rebound early in summer. The model ensemble mean underestimates the magnitude of the seasonal cycle by 40g% compared to atmospheric inversions. Global FTA amplitude increase (19g±g8g%) and its decadal variability from the model ensemble are generally consistent with constraints from surface atmosphere observations. However, models disagree on attribution of this long-term amplitude increase, with factorial experiments attributing 83g±g56g%, ĝ'3g±g74 and 20g±g30g% to rising CO2, climate change and land use/cover change, respectively. Seven out of the nine models suggest that CO2 fertilization is the strongest control - with the notable exception of VEGAS, which attributes approximately equally to the three factors. Generally, all models display an enhanced seasonality over the boreal region in response to high-latitude warming, but a negative climate contribution from part of the Northern Hemisphere temperate region, and the net result is a divergence over climate change effect. Six of the nine models show that land use/cover change amplifies the seasonal cycle of global FTA: some are due to forest regrowth, while others are caused by crop expansion or agricultural intensification, as revealed by their divergent spatial patterns. We also discovered a moderate cross-model correlation between FTA amplitude increase and increase in land carbon sink (R2 Combining double low line g0.61). Our results suggest that models can show similar results in some benchmarks with different underlying mechanisms; therefore, the spatial traits of CO2 fertilization, climate change and land use/cover changes are crucial in determining the right mechanisms in seasonal carbon cycle change as well as mean sink change.This study was funded by NOAA, NASA and NSF. This study was partly supported by a Laboratory Directed Research and Development project by Pacific Northwest National Laboratory that is being managed by Battelle Memorial Institute for the US Department of Energy. We thank the TRENDY coordinators and participating modeling teams, NOAA ESRL and Jena/CarbonTracker inversion teams