Sustainability Analysis of Marble Sector in Buner

Marble is an ornamental stone, extremely popular for use as architectural and sculptural purposes. Nonrenewable marble resources in Khyber Pakhtunkhwa (KP), Pakistan are mostly mined by conventional mining methods(producing irregular shaped blocks) instead of using mechanized mining producing regular shaped blocks.Conventional mining methods are more economical but are less environment friendly due to more quantity of wasteproduced. While, mechanized marble mining has a better recovery, reduces mining cost (processing and transportation)and is less environmentally hazardous. In this study a situation and sustainability analysis of marble mining operationsat Buner, the most productive marble mining cluster in KP, Pakistan, is carried out. Buner has about 1.4 billion tons ofmarble resources and contributes around 51 percent of total country’s marble production. Analytical Hierarchy Process(AHP) is used on the basis of key sustainability factors (economic, technical, social, environmental and safety) forselection of most sustainable mining methods. The analysis revealed that conventional mining is least sustainable andproduces maximum waste, cracks, irregular shaped blocks, high working faces, back break, rock falls and accidents. Itwas concluded and recommended that these conventional mining methods should be replaced with the more sustainablemining methods i.e. semi-mechanized (controlled blasting / expansion material) at sunny grey and get black marbledeposits and mechanized mining (rope cutting) at Bampokha No.1 and Chagharzai white marble deposits

Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan

Mineral exploitation contributes to the economic growth of developing countries. Managing mineral production brought a more disturbing environment linked to workers' causalities due to scarcities in the safety management system. One of the barriers to attaining an adequate safety management system is the unavailability of future information relating to accidents causing fatalities. Policymakers always try to manage the safety system after each accident. Therefore, a precise forecast of the number of workers fatalities can provide significant observation to strengthen the safety management system. This study involves forecasting the number of mining workers fatalities in Cherat coal mines by using Auto-Regressive Integrating Moving Average Method (ARIMA) model. Workers' fatalities information was collected over the period of 1994 to 2018 from Mine Workers Federation, Inspectorate of Mines and Minerals and company records to evaluate the long-term forecast. Various diagnostic tests were used to obtain an optimistic model. The results show that ARIMA (0, 1, 2) was the most appropriate model for workers fatalities. Based on this model, casualties from 2019 to 2025 have been forecasted. The results suggest that policymakers should take systematic consideration by evaluating possible risks associated with an increased number of fatalities and develop a safe and effective working platform

Level of Pathogenic Escherichia Coli on Animal’S Body Coat and in Meat under Slaughter House Environment

BACKGROUND Cattle slaughtering is performed in unhygienic conditions in local abattoirs. Therefore this study was conducted with the objective to investigate the level of Escherichia coli (E. coli) in various regions of live animal body coat, carcass and meat at the various stages of slaughtering processed.RESULTS Mean values of log Colony Forming Units (CFU) per square inch-1 of pathogenic E. coli was noted significantly higher on the body coat, carcass, meat and processing tools in untreated group of cattle. With application of hot water treatment, E. coli counts dropped both in body coat and on meat carcasses. In meat processing tools, chopper axe contained higher counts, while the washing water has slightly lesser count. In abattoir environment, lairage ground has high infection of pathogenic E. coli, and air samples also found positive with E coli. Conclusion: This study reveals that the level of pathogenic E. coli was high on animal’s body coat, meat carcasses, processing tools and abattoir environment. Presently hot water (65.56oC) application has significantly reduced the level of pathogen. However washing with some sanitizer will eliminate the pathogen from body coat thus resulting in little chances of meat contamination. Keywords: E. coli, Slaughterhouse, Environment, Meat, Body Coat, Cattl

Benefit incidence analysis of healthcare in Bangladesh – equity matters for universal health coverage

Background: Equity in access to and utilization of healthcare is an important goal for any health system and an essential prerequisite for achieving Universal Health Coverage for any country. Objectives: This study investigated the extent to which health benefits are distributed across socioeconomic groups; and how different types of providers contribute to inequity in health benefits of Bangladesh. Methodology: The distribution of health benefits across socioeconomic groups was estimated using concentration indices. Health benefits from three types of formal providers were analysed (public, private and NGO providers), separated into rural and urban populations. Decomposition of concentration indices into types of providers quantified the relative contribution of providers to the overall distribution of benefits across socioeconomic groups. Eventually, the distribution of benefits was compared to the distribution of healthcare need (proxied by ‘self-reported illness and symptoms’) across socioeconomic groups. Data from the latest Household Income and Expenditure Survey, 2010 and WHO-CHOICE were used. Results: An overall pro-rich distribution of healthcare benefits was observed (CI = 0.229, t-value = 9.50). Healthcare benefits from private providers (CI = 0.237, t-value = 9.44) largely favoured the richer socioeconomic groups. Little evidence of inequity in benefits was found in public (CI = 0.044, t-value = 2.98) and NGO (CI = 0.095, t-value = 0.54) providers. Private providers contributed by 95.9% to overall inequity. The poorest socioeconomic group with 21.8% of the need for healthcare received only 12.7% of the benefits, while the richest group with 18.0% of the need accounted for 32.8% of the health benefits. Conclusion: Overall healthcare benefits in Bangladesh were pro-rich, particularly because of health benefits from private providers. Public providers were observed to contribute relatively slightly to inequity. The poorest (richest) people with largest (least) need for healthcare actually received lower (higher) benefits. When working to achieve Universal Health Coverage in Bangladesh, particular consideration should be given to ensuring that private sector care is more equitable

Histomorphology of the lymphoid tissues of broiler chickens in Kelantan, Malaysia

The present research has been designed to understand the histomorphological development of lymphatic tissues of Cobb 500 strains of postnatal broiler chickens, aged between day old and D14 of Kelantan, Malaysia by gross and histological study. In the present study, it was found that the gross weight, length and width of the thymus, bursa of Fabricius and spleen were increased with the advancement of ages of the broiler chickens and was found higher from D14 to D28. Fine septa of connective tissue divide the thymus into lobes and lobules. The cortex of lobule is densely populated with lymphocytes. The bursal follicles were composed of a peripheral cortex which was rich in bursal cells and centrally depopulated medulla. The mucosal folds of the bursa were lined by pseudostratified columnar epithelium. The spleen has two compartments, the red and white pulp. The red pulp consisted principally of red blood cells, while the majority of the populations of white pulp were the lymphocytes. The histological mean length and width of the thymic lobules, bursal follicles and white pulp of the spleen were grown faster with the advancement of ages at D14 and D28. In conclusion, the increment of gross and histological parameters of lymphoid organs of broilers in the present study was due to aging of broilers

Factors influencing place of delivery : evidence from three south-Asian countries

Background High maternal mortality is still a significant public health challenge in many countries of the South-Asian region. The majority of maternal deaths occur due to pregnancy and deliveryrelated complications, which can mostly be prevented by safe facility delivery. Due to the paucity of existing evidence, our study aimed to examine the factors associated with place of delivery, including women's preferences for such in three selected South-Asian countries. Methods We extracted data from the most recent demographic and health surveys (DHS) conducted in Bangladesh (2014), Nepal (2016), and Pakistan (2017-18) and analyzed to identify the association between the outcome variable and socio-demographic characteristics. A total of 16,429 women from Bangladesh (4278; mean age 24.57 years), Nepal (3962; mean age 26.35 years), and Pakistan (8189; mean age 29.57 years) were included in this study. Following descriptive analyses, bivariate and multivariate logistic regressions were conducted. Results Overall, the prevalence of facility-based delivery was 40%, 62%, and 69% in Bangladesh, Nepal, and Pakistan, respectively. Inequity in utilizing facility-based delivery was observed for women in the highest wealth quintile. Participants from Urban areas, educated, middle and upper household economic status, and with high antenatal care (ANC) visits were significantly associated with facility-based delivery in all three countries. Interestingly, watching TV was also found as a strong determinant for facility-based delivery in Bangladesh (aOR = 1.31, 95% CI:1.09-1.56, P = 0.003), Nepal (aOR = 1.42, 95% CI:1.20-1.67, P<0.001) and Pakistan (aOR = 1.17, 95% CI: 1.03-1.32, P = 0.013). Higher education of husband was a significant predictor for facility delivery in Bangladesh (aOR = 1.73, 95% CI:1.27-2.35, P = 0.001) and Pakistan (aOR = 1.19, 95% CI: 0.99-1.43, P = 0.065); husband's occupation was also a significant factor in Bangladesh (aOR = 1.30, 95% CI:1.04-1.61, P = 0.020) and Nepal (aOR = 1.26, 95% CI:1.01-1.58, P = 0.041). Conclusion Our findings suggest that the educational status of both women and their husbands, household economic situation, and the number of ANC visits influenced the place of delivery. There is an urgent need to promote facility delivery by building more birthing facilities, training and deployment of skilled birth attendants in rural and hard-to-reach areas, ensuring compulsory female education for all women, encouraging more ANC visits, and providing financial incentives for facility deliveries. There is a need to promote facility delivery by encouraging health facility visits through utilizing social networks and continuing mass media campaigns. Ensuring adequate Government funding for free maternal and newborn health care and local community involvement is crucial for reducing maternal and neonatal mortality and achieving sustainable development goals in this region

A Real-Time Sequential Deep Extreme Learning Machine Cybersecurity Intrusion Detection System

ABSTRACT: In recent years, cybersecurity has attracted significant interest due to the rapid growth of the Internet of Things (IoT) and the widespread development of computer infrastructure and systems. It is thus becoming particularly necessary to identify cyber-attacks or irregularities in the system and develop an efficient intru- sion detection framework that is integral to security. Researchers have worked on developing intrusion detection models that depend on machine learning (ML) methods to address these security problems. An intelligent intrusion detection device powered by data can exploit artificial intelligence (AI), and especially ML, techniques. Accordingly, we propose in this article an intrusion detection model based on a Real-Time Sequential Deep Extreme Learning Machine Cyber- security Intrusion Detection System (RTS-DELM-CSIDS) security model. The proposed model initially determines the rating of security aspects contributing to their significance and then develops a comprehensive intrusion detection frame- work focused on the essential characteristics. Furthermore, we investigated the feasibility of our proposed RTS-DELM-CSIDS framework by performing dataset evaluations and calculating accuracy parameters to validate. The experimental findings demonstrate that the RTS-DELM-CSIDS framework outperforms con- ventional algorithms. Furthermore, the proposed approach has not only research significance but also practical significance

The role of statins in prevention and treatment of community acquired pneumonia: a systematic review and meta-analysis.

BACKGROUND: Emerging epidemiological evidence suggests that statins may reduce the risk of community-acquired pneumonia (CAP) and its complications. PURPOSE: Performed a systematic review to address the role of statins in the prevention or treatment of CAP. DATA SOURCE: Ovid MEDLINE, Cochrane, EMBASE, ISI Web of Science, and Scopus from inception through December 2011 were searched for randomized clinical trials, cohort and case-control studies. STUDY SELECTION: Two authors independently reviewed studies that examined the role of statins in CAP. DATA EXTRACTION: Data about study characteristics, adjusted effect-estimates and quality characteristics was extracted. DATA SYNTHESIS: Eighteen studies corresponding to 21 effect-estimates (eight and 13 of which addressed the preventive and therapeutic roles of statins, respectively) were included. All studies were of good methodological quality. Random-effects meta-analyses of adjusted effect-estimates were used. Statins were associated with a lower risk of CAP, 0.84 (95% CI, 0.74-0.95), I(2) = 90.5% and a lower short-term mortality in patients with CAP, 0.68 (95% CI, 0.59-0.78), I(2) = 75.7%. Meta-regression did not identify sources of heterogeneity. A funnel plot suggested publication bias in the treatment group, which was adjusted by a novel regression method with a resultant effect-estimate of 0.85 (95% CI, 0.77-0.93). Sensitivity analyses using the rule-out approach showed that it is unlikely that the results were due to an unmeasured confounder. CONCLUSIONS: Our meta-analysis reveals a beneficial role of statins for the risk of development and mortality associated with CAP. However, the results constitute very low quality evidence as per the GRADE framework due to observational study design, heterogeneity and publication bias