Impact of Human Capital and Infrastructure Development on Economic Growth in Pakistan

The core purpose of the analysis is to explore the influence of human capital and infrastructure on Pakistan’s economic growth. The study is based on time series data covering the period from 1972 to 2013. The study has applied Johansen Cointegration technique to estimate the long run and short run relationship among variables. Results indicate that human capital and infrastructure development have positive and significant impact on economic growth. Further, Principal Component Analysis (PCA) is applied to construct infrastructure index to observe its impact on economic growth

Gender, Entrepreneurship and Socioeconomic Reparation in Jammu & Kashmir

The entrepreneurship growth is being recognized as a serviceable means of tackling Jammu and Kashmir’s [J&K] socioeconomic challenges of high unemployment, and unbalanced distribution of income. The unemployment rates revealed by National Sample Survey Office (NSSO) for the state presents a depressed image of the condition of women in the state. According to the NSSO employment position of females in urban areas are worse than that of men. The indicators were analyzed and found that the females in urban areas are unemployed and the rate is at 11.7 percent. And the same pointer for the unemployment rate for the male population is hovering at 6.7 percent and the figure at all-India for the woman (urban) joblessness rate is at 7.9 percent. It is observed that existing policies overlook the gender as a potential input for addressing the grave issue. Despite this females have proven their mettle using their peculiar gender nature effectively and efficiently in small and micro business which calls for an immediate attention by the government towards promotion of women in entrepreneurship.

Renewable energy governance in India: challenges and prospects for achieving the 2022 energy goals

India has set colossal renewable energy (RE) targets (achieving 175GW of renewable energy capacity by 2022) which need a clear strategy roadmap, integrated planning and a whole-of-system approach. However, the loopholes in institutional mechanisms are bound to hinder the process of policy formulation and implementation for the aspired quantum leap. This paper is an attempt to observe governance of renewable energy in India while exploring the issues and challenges that have been stalling the process of clean energy uptake. The paper finds that despite the comprehensive policy and regulatory frameworks, the large disconnect between the central policies and regional needs has created barriers for deployment of renewable technologies. The paper emphasizes the provision for clean energy financial support to be made available to the states for addressing the disparities between RE potential and the development cost, and planning for better grid management systems. The RE targets also demand an intensive capital market development and innovative financial support mechanisms and products. While aligning itself with the clean energy goals, India needs to focus significantly on the energy needs of the rural population which has been grappling with electricity cuts and brownouts. For regions with limited or no electricity supply, the government should aggressively promote the ideas of off-grid solar power and micro grids. The paper also recommends the possibilities for private sector investments, rural entrepreneurship and public- private ventures for filling in the gaps, and thus harnessing the potential of RE-rich states

Renewable energy governance in India: challenges and prospects for achieving the 2022 energy goals

India has set colossal renewable energy (RE) targets (achieving 175GW of renewable energy capacity by 2022) which need a clear strategy roadmap, integrated planning and a whole-of-system approach. However, the loopholes in institutional mechanisms are bound to hinder the process of policy formulation and implementation for the aspired quantum leap. This paper is an attempt to observe governance of renewable energy in India while exploring the issues and challenges that have been stalling the process of clean energy uptake. The paper finds that despite the comprehensive policy and regulatory frameworks, the large disconnect between the central policies and regional needs has created barriers for deployment of renewable technologies. The paper emphasizes the provision for clean energy financial support to be made available to the states for addressing the disparities between RE potential and the development cost, and planning for better grid management systems. The RE targets also demand an intensive capital market development and innovative financial support mechanisms and products. While aligning itself with the clean energy goals, India needs to focus significantly on the energy needs of the rural population which has been grappling with electricity cuts and brownouts. For regions with limited or no electricity supply, the government should aggressively promote the ideas of off-grid solar power and micro grids. The paper also recommends the possibilities for private sector investments, rural entrepreneurship and public- private ventures for filling in the gaps, and thus harnessing the potential of RE-rich states

Renewable energy governance in India: challenges and prospects for achieving the 2022 energy goals

India has set colossal renewable energy (RE) targets (achieving 175GW of renewable energy capacity by 2022) which need a clear strategy roadmap, integrated planning and a whole-of-system approach. However, the loopholes in institutional mechanisms are bound to hinder the process of policy formulation and implementation for the aspired quantum leap. This paper is an attempt to observe governance of renewable energy in India while exploring the issues and challenges that have been stalling the process of clean energy uptake. The paper finds that despite the comprehensive policy and regulatory frameworks, the large disconnect between the central policies and regional needs has created barriers for deployment of renewable technologies. The paper emphasizes the provision for clean energy financial support to be made available to the states for addressing the disparities between RE potential and the development cost, and planning for better grid management systems. The RE targets also demand an intensive capital market development and innovative financial support mechanisms and products. While aligning itself with the clean energy goals, India needs to focus significantly on the energy needs of the rural population which has been grappling with electricity cuts and brownouts. For regions with limited or no electricity supply, the government should aggressively promote the ideas of off-grid solar power and micro grids. The paper also recommends the possibilities for private sector investments, rural entrepreneurship and public- private ventures for filling in the gaps, and thus harnessing the potential of RE-rich states

Use of social media for receiving professional support in enhancing mothers’ lactation self-efficacy

Background: Insufficient support for breastfeeding and limited exclusive breastfeeding rates emphasize the need for high-impact approaches to enhance maternal confidence in lactation. Social media has emerged as a promising platform for professional support and information dissemination in this context. This review aims to examine the role of social media in providing professional lactation support to mothers in enhancing their lactation self-efficacy.Method: Employing PRISMA guidelines, the review sought relevant literature on professional assistance in enhancing breastfeeding self-efficacy. Major databases, including PubMed, CINAHL, Google Scholar, and Science Direct, were meticulously queried using targeted keywords. Every selected article underwent screening for English language and full-text accessibility.Results: The search yielded 15,746 hits, and after a meticulous screening process, 33 studies were included for synthesis. The synthesized literature revealed a dearth of studies investigating mothers\u27 viewpoints on utilizing social media for professional support to enhance breastfeeding self-efficacy, particularly within the context of Karachi, Pakistan. Despite this gap, the selected studies highlighted the potential of social media, to positively influence breastfeeding practices, provide emotional support, and deliver valuable information to mothers.Conclusion: The findings show a lack of specific studies conducted in Pakistan, which highlights the importance of conducting research that is customized to understand how mothers perceive the use of social media for professional breastfeeding support. The results emphasize the untapped opportunities presented by online platforms in promoting mothers\u27 confidence in breastfeeding and suggest the need for focused interventions that influence these digital channels to improve both maternal breastfeeding confidence and infant health

A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma.

Psoriasis is the most common and chronic skin disease that affects individuals from every age group. The rate of psoriasis is increasing over the time in both developed and developing countries. Studies have revealed the possibility of association of psoriasis with skin cancers, particularly non-melanoma skin cancers (NMSC), which, include basal cell carcinoma and cutaneous squamous cell carcinoma (cSCC). There is a need to analyze the disease at molecular level to propose potential biomarkers and therapeutic targets in comparison to cSCC. Therefore, the second analyzed disease of this study is cSCC. It is the second most common prevalent skin cancer all over the world with the potential to metastasize and recur. There is an urge to validate the proposed biomarkers and discover new potential biomarkers as well. In order to achieve the goals and objectives of the study, microarray and RNA-sequencing data analyses were performed followed by network analysis. Afterwards, quantitative systems biology was implemented to analyze the results at a holistic level. The aim was to predict the molecular patterns that can lead psoriasis to cancer. The current study proposed potential biomarkers and therapeutic targets for psoriasis and cSCC. IL-17 signaling pathway is also identified as significant pathway in both diseases. Moreover, the current study proposed that autoimmune pathology, neutrophil recruitment, and immunity to extracellular pathogens are sensitive towards MAPKs (MAPK13 and MAPK14) and genes for AP-1 (FOSL1 and FOS). Therefore, these genes should be further studied in gene knock down based studies as they may play significant role in leading psoriasis towards cancer

Leishmanial Hepatitis with Chronic Hepatitis B Infection Treated Successfully with Liquid Form of Liposomal Amphotericin B - A Case Report

Hepatic involvement either due to leishmaniasis or due to coexisting viral infection sometime poses a problem for the clinicians. Atypical presentation is also challenging for them. We present a case of visceral leishmaniasis (Kala-azar) from a non endemic zone, co infection with hepatitis B virus simulating chronic viral hepatitis successfully treated with liquid form of liposomal amphotericin B.DOI: http://dx.doi.org/10.3329/bsmmuj.v5i1.11018 BSMMU J 2012; 5(1):55-56

Long non-coding RNAs and their targets as potential biomarkers in breast cancer.

Breast cancer is among the lethal types of cancer with a high mortality rate, globally. Its high prevalence can be controlled through improved analysis and identification of disease-specific biomarkers. Recently, long non-coding RNAs (lncRNAs) have been reported as key contributors of carcinogenesis and regulate various cellular pathways through post-transcriptional regulatory mechanisms. The specific aim of this study was to identify the novel interactions of aberrantly expressed genetic components in breast cancer by applying integrative analysis of publicly available expression profiles of both lncRNAs and mRNAs. Differential expression patterns were identified by comparing the breast cancer expression profiles of samples with controls. Significant co-expression networks were identified through WGCNA analysis. WGCNA is a systems biology approach used to elucidate the pattern of correlation between genes across microarray samples. It is also used to identify the highly correlated modules. The results obtained from this study revealed significantly differentially expressed and co-expressed lncRNAs and their cis- and trans-regulating mRNA targets which include RP11-108F13.2 targeting TAF5L, RPL23AP2 targeting CYP4F3, CYP4F8 and AL022324.2 targeting LRP5L, AL022324.3, and Z99916.3, respectively. Moreover, pathway analysis revealed the involvement of identified mRNAs and lncRNAs in major cell signalling pathways, and target mRNAs expression is also validated through cohort data. Thus, the identified lncRNAs and their target mRNAs represent novel biomarkers that could serve as potential therapeutics for breast cancer and their roles could also be further validated through wet labs to employ them as potential therapeutic targets in future

Irritable bowel syndrome among nurses working in King Abdulaziz University Hospital, Jeddah, Saudi Arabia

Background: Irritable bowel syndrome (IBS) is a highly prevalent gastrointestinal disorder that can cause disability and economic burden. Nurses are a vital part of the medical team and their well-being is an important issue. Yet, few studies have been done concerning IBS among nurses.Objectives: To determine the prevalence, severity, and predictors of IBS among nurses working at King Abdulaziz University Hospital, Jeddah, Saudi Arabia.Materials and methods: A cross-sectional study was conducted among 229 nurses who fulfilled the eligibility criteria. They were selected by stratified random sampling during 20142015. A validated, confidential, selfadministered data collection sheet was used for collection of personal and sociodemographic data. Rome III Criteria, IBS Severity Scoring System (IBS-SSS), Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index (PSQI) were included. Both descriptive and inferential statistics were done. A multiple logistic regression analysis was done to determine the predictors of IBS.Results: The prevalence of IBS among nurses was 14.4%, and IBS-Mixed type was the commonest variety (54.5%). Positive family history of IBS, working in outpatient clinics, having day shift, poor sleep quality, and high anxiety and depression scale scores were significantly associated with IBS. After controlling for confounding factors in regression analysis, the predictors of IBS were food hypersensitivity (aOR4.52; 95% CI: 1.8011.33), morbid anxiety (aOR4.34; 95% CI: 1.4912.67), and positive family history of IBS (aOR3.38; 95% CI: 1.1213.23).Conclusion: The prevalence of IBS was 14.4%. Food hypersensitivity, morbid anxiety, and family history were the predictors of IBS. Screening and management of IBS, food hypersensitivity, and psychological problems among nurses are recommended.Keywords: irritable bowel syndrome; nurses; prevalence; predictors; severity; anxiety; depression; sleep qualit