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Copyright of Larq Journal for Philosophy, Linguistics & Social Sciences is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

India is one of the biggest automobile manufacturer in the world and this sector has been a major contributor to the Indian economy in terms of GDP and employment generation. With Automobile mission plan 2026 in place, it is expected to grow up to $ 260-300 billion and to bring about 65 million jobs. With exception of few, most of the good and services came under the Goods and Services Tax influence so does the automobile sector. GST is a taxation system which replaces all indirect taxes such as VAT, Excise and Service Tax etc. It's a comprehensive, multi-stage, destination based tax that is levied on every value addition. In this exercise government has kept different types of cars in to different slabs of GST. With the rate of tax on some classifications manufacturers are happy and welcoming the decision but not so satisfied with others. To curb the pollution from automobiles and to promote green motoring, Government of Indiahas been granting incentives on manufacture and sale of all types of electric vehicles including two and three wheelers and also plans to ban sale of all fossil fuel run cars by 2030. Hybrid cars have been kept into highest slab with luxury segment of cars whereas prior to implementation of Goods & Service Tax hybrid cars also attracted incentives from government under Faster Adoption and Manufacture of (Hybrid&) Electric Vehicles (FAME) scheme. Manufacturers are disappointed with this change. The objective of this paper is to study the impact of GST on automobile sector in particular the effect it has on hybrid & electric cars in India. [ABSTRACT FROM AUTHOR]

Structural and physical changes take place in pregnancy such as altered function of urinary tract. The mechanism lying behind low urinary tract function can be described in terms of effects of hormones, compressive dysfunction of uterus and structural changes in pelvic support function. The prevalence of urinary incontinence in developed countries is 27.6% and in developing countries 28.7%. Urinary incontinence is a functional pelvic floor disorder which affects the wellbeing of all age's women. Urinary incontinence frequency is increased by pregnancy but the cause of this incontinence is still unknown. The prevalence of incontinence differs greatly. Objective: To know the frequency of urinary in-continence among pregnant multigravida from second trimester up to delivery. Methods: The study design used was a cross-sectional survey. The place of study was Lady Aitchson Hospital Lahore Pakistan and Lady Willington Hospital Lahore Pakistan. It was completed within six months after the approval of synopsis from September 2015 to February 2016. The sample of this study was 706. Mean age of the multigravida belonging to the lower socioeconomic status was 25-28 years of age. Women's continence and pelvic health center urinary incontinence questionnaire was used in this study. Results: Multigravida included in this study showed 51.1% of urinary incontinence and 48.8% with no urinary incontinence. The level of the beginning of urinary incontinence was more in second trimester. Conclusion: Urinary incontinence is more prevalent in multiparous especially in second trimester of pregnancy. [ABSTRACT FROM AUTHOR]

Abstract  Selected trace metals were analyzed in human malignant and nonmalignant (benign) breast tissue samples by the flame atomic absorption spectrophotometric method. In malignant tissues, dominant mean concentrations were revealed by Na, K, Ca, Mg, Fe, Zn, and Al at 927, 552, 231, 61.7, 36.5, 18.3, and 8.94 μg/g, respectively, while the mean metal levels in benign tissues were 903, 435, 183, 63.3, 24.7, 14.5, and 10.1 μg/g, respectively. Average concentrations of Cd, Co, Cr, Cu, Fe, Mn, K, Ca, and Zn were noted to be significantly higher in the malignant tissues compared with the benign tissues. Significantly strong correlations (r > 0.50) in malignant tissues were observed between Mn and Co, Mn and Cd, Cd and Cr, Fe and Mn, Cd and Co, Fe and Co, Mg and Pb, Cd and Fe, Mg and Ni, Pb and Ni, Ni and Sr, and Fe and Pb, whereas, Cd and Co, Cd and Mn, Co and Mg, Co and Mn, Cu and Mn, Co and Ni, Mg and Ni, Cd and Cu, Cd and Ni, Ca and Mg, Mn and Pb, Cu and Ni, Fe and Ni, Cd and Mg, Co and Cu, Cr and Na, and Cd and Cr revealed strong and significant relationships in benign tissues at p  [ABSTRACT FROM AUTHOR]

Eighteen metals were estimated in the scalp hair samples from cancer patients (n = 111) and normal donors (n = 113). Nitric acid–perchloric acid wet digestion procedure was used for the quantification of the selected metals by flame atomic absorption spectrophotometry. In the scalp hair of cancer patients, highest average levels were found for Ca (861 μg/g), followed by Na (672 μg/g), Zn (411 μg/g), Mg (348 μg/g), Fe (154 μg/g), Sr (129 μg/g), and K (116 μg/g), whereas in comparison, the dominant metals in the scalp hair of normal donors were Ca (568 μg/g), Zn (177 μg/g), Mg (154 μg/g), Fe (110 μg/g), and Na (103 μg/g). The concentrations of Ca, Cd, Co, Cr, Fe, K, Mg, Mn, Na, Ni, Pb, Sb, Sr, and Zn were notably higher in the hair of cancer patients as compared with normal donors, which may lead to a number of physiological disorders. Strong positive correlations were found in Mn–Pb (0.83), Cd–Cr (0.82), Cd–Li (0.57), Fe–Pb (0.56), and Fe–Mn (0.55) in the hair of cancer patients whereas Na–Cd, Li–Cr, Li–Co, Co–Cd, Li–Cd, Na–Co, Na–Li, Ca–Mg and Na–Cr exhibited strong relationships (r > 0.50) in the hair of normal donors. Principal Component Analysis (PCA) of the data revealed seven PCs, both for cancer patients and normal donors, but with significantly different loadings. Cluster Analysis (CA) was also used to support the PCA results. The study evidenced significantly different pattern of metal distribution in the hair of cancer patients in comparison with normal donors. The role of trace metals in carcinogenesis was also discussed. [ABSTRACT FROM AUTHOR]