Challenges in establishing waste-to-energy projects in developing countries with a case study from India

Municipal solid waste (MSW) management and its scientific disposal is a major concern for the local municipal authorities of all major Indian cities. Under the "Clean India Mission", the Ministry of Urban Development (MoUD) of India is investing US $9 Billion to clean up 75 largest cities in India. Waste to Energy (WTE) plants will be a key to its implementation. Currently, open air burning and landfilling are the most common practices of wase disposal in India. Landfilling is considered the least favourable option for cities as these sites occupy significant land areas in already crowded urban areas. WTE plants or incinerators are considered the most viable solution for safe disposal of MSW all over the world. In India, however, WTE projects have had mixed results and outright failures. Currently, only eight such plants are operational in the country. This is due to several technical, economic, environmental, social and policy factors involved. This study investigates the feasibility of a proposed state-of-the art WTE plant in Delhi which will set an example for other cities to follow. It reviews the various challenges involved in the implementation of such a project and suggests mitigating solutions to overcome these challenges

Adolescents: A key pivotal in India’s Health Strategy

Adolescents constitute more than 20% of India’s population. There has been an increasing need of inculcating health practices in this age group through different channels to unleash their true potential. Reproductive, Maternal, Neonatal, Child Health and Adolescent strategy is a key program, already in progress in the health sector, under the aegis of National Health Mission. Through this article, the authors share brief statistics about the existing health and the disease spectrum among adolescents, the existing portfolio of health interventions within the ambit of reproductive and child health and the role that all of us could play in facilitating healthy sexual development of adolescents and leveraging their energy for the benefit of our fellow citizens and thus making them an active partner to reduce Maternal, Neonatal and Infant mortality

Comparison of clinical characteristics of acute kidney injury versus acute-on-chronic renal failure: Our experience in a developing country

SummaryBackgroundFrom developing countries, there is paucity of information regarding epidemiological characteristics of acute-on-chronic renal failure (ACRF) that differs from acute kidney injury (AKI).MethodsIn this prospective study, we analyzed and compared clinical characteristics and outcome of ACRF with AKI from January 2007 to August 2012.ResultsA total of 1117 patients with community-acquired AKI were included in study (AKI = 835; ACRF = 282). Patients with ACRF were older than patients with AKI (p < 0.001). Sepsis was the main cause of acute decline in renal functions in patients with ACRF in comparison to AKI (p < 0.001). Volume depletion/renal hypoperfusion was the most common cause of AKI and the difference was statistically significant as compared to ACRF (33.9% vs. 17.7%; p < 0.001). Need for dialysis was significantly less in patients with ACRF as compared to AKI (68% vs. 77.4%; p 0.002). Lower inhospital mortality was observed in ACRF in comparison to AKI (5% vs. 8.9%, p = 0.04), while no significant difference was noted in terms of duration of hospital stay between the two groups (p = 0.67). However, a significantly higher proportion of patients with ACRF did not recover and progressed to end-stage renal disease as compared to AKI (20% vs. 7.8%; p < 0.001).ConclusionACRF constituted an important cause (25%) of AKI. An episode of superimposed AKI is associated with significantly increased risk of progression to end-stage renal disease in patients with chronic kidney disease.背景慢性腎病合併急性腎衰竭 (ACRF) 不同於急性腎損傷 (AKI)，然而在發展中國家，ACRF 的流行病學數據仍然相當有限。方法在 2007 年 1 月至 2012 年 8 月期間，我們進行了一項前瞻性研究，分析並比較了 ACRF 與 AKI 的臨床特徵和治療後果。結果研究對象為 1117 位社區性 AKI 患者 (AKI = 835；ACRF = 282)，其中 ACRF 患者較 AKI 患者年老 (p < 0.001)。相比於 AKI，ACRF 的急性腎功能下降較常歸因於敗血症 (p < 0.001)；相比於 ACRF，AKI 則較常歸因於容積匱乏/腎灌流不足 (33.9% vs. 17.7%；p < 0.001)；ACRF 患者比 AKI 患者較少需要接受透析療法 (68% vs. 77.4%；p = 0.002)；ACRF 患者的院內死亡率低於 AKI 患者 (5% vs. 8.9%；p = 0.04)，兩組間的住院期則無明顯差別 (p = 0.67)；然而，相比於 AKI 患者，明顯較多的 ACRF 患者無法康復並惡化成末期腎病 (ESRD) (20% vs. 7.8%；p < 0.001)。結論慢性腎病合併急性腎衰竭是急性腎損傷的重要病因 (25%)；在慢性腎病患者間，AKI 的發生明顯增加惡化為 ESRD 的風險

Measuring the robustness of resource allocations for distributed domputer systems in a stochastic dynamic environment

Heterogeneous distributed computing systems often must function in an environment where system parameters are subject to variations during operation. Robustness can be defined as the degree to which a system can function correctly in the presence of parameter values different from those assumed. We present a methodology for quantifying the robustness of resource allocations in a dynamic environment where task execution times vary within predictable ranges and tasks arrive randomly. The methodology is evaluated through measuring the robustness of three different resource allocation heuristics within the context of the stochastically modeled dynamic environment. A Bayesian regression model is fit to the combined results of the three heuristics to demonstrate the correlation between the stochastic robustness metric and the presented performance metric. The correlation results demonstrated the significant potential of the stochastic robustness metric to predict the relative performance of the three heuristics given a common objective function

Risk of secondhand smoke exposure and severity of COVID-19 infection: multicenter case–control study

IntroductionExposure to secondhand smoke (SHS) is an established causal risk factor for cardiovascular disease (CVD) and chronic lung disease. Numerous studies have evaluated the role of tobacco in COVID-19 infection, severity, and mortality but missed the opportunity to assess the role of SHS. Therefore, this study was conducted to determine whether SHS is an independent risk factor for COVID-19 infection, severity, mortality, and other co-morbidities.MethodologyMulticentric case–control study was conducted across six states in India. Severe COVID-19 patients were chosen as our study cases, and mild and moderate COVID-19 as control were evaluated for exposure to SHS. The sample size was calculated using Epi-info version 7. A neighborhood-matching technique was utilized to address ecological variability and enhance comparability between cases and controls, considering age and sex as additional matching criteria. The binary logistic regression model was used to measure the association, and the results were presented using an adjusted odds ratio. The data were analyzed using SPSS version 24 (SPSS Inc., Chicago, IL, USA).ResultsA total of 672 cases of severe COVID-19 and 681 controls of mild and moderate COVID-19 were recruited in this study. The adjusted odds ratio (AOR) for SHS exposure at home was 3.03 (CI 95%: 2.29–4.02) compared to mild/moderate COVID-19, while SHS exposure at the workplace had odds of 2.19 (CI 95%: 1.43–3.35). Other factors significantly related to the severity of COVID-19 were a history of COVID-19 vaccination before illness, body mass index (BMI), and attached kitchen at home.DiscussionThe results of this study suggest that cumulative exposure to secondhand cigarette smoke is an independent risk factor for severe COVID-19 illness. More studies with the use of biomarkers and quantification of SHS exposure in the future are needed

Tigers of Sundarbans in India: Is the Population a Separate Conservation Unit?

The Sundarbans tiger inhabits a unique mangrove habitat and are morphologically distinct from the recognized tiger subspecies in terms of skull morphometrics and body size. Thus, there is an urgent need to assess their ecological and genetic distinctiveness and determine if Sundarbans tigers should be defined and managed as separate conservation unit. We utilized nine microsatellites and 3 kb from four mitochondrial DNA (mtDNA) genes to estimate genetic variability, population structure, demographic parameters and visualize historic and contemporary connectivity among tiger populations from Sundarbans and mainland India. We also evaluated the traits that determine exchangeability or adaptive differences among tiger populations. Data from both markers suggest that Sundarbans tiger is not a separate tiger subspecies and should be regarded as Bengal tiger (P. t. tigris) subspecies. Maximum likelihood phylogenetic analyses of the mtDNA data revealed reciprocal monophyly. Genetic differentiation was found stronger for mtDNA than nuclear DNA. Microsatellite markers indicated low genetic variation in Sundarbans tigers (He= 0.58) as compared to other mainland populations, such as northern and Peninsular (Hebetween 0.67- 0.70). Molecular data supports migration between mainland and Sundarbans populations until very recent times. We attribute this reduction in gene flow to accelerated fragmentation and habitat alteration in the landscape over the past few centuries. Demographic analyses suggest that Sundarbans tigers have diverged recently from peninsular tiger population within last 2000 years. Sundarbans tigers are the most divergent group of Bengal tigers, and ecologically non-exchangeable with other tiger populations, and thus should be managed as a separate "evolutionarily significant unit" (ESU) following the adaptive evolutionary conservation (AEC) concept.Wildlife Institute of India, Dehra Dun (India)

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants

Calibration of the CMS hadron calorimeters using proton-proton collision data at root s=13 TeV

Methods are presented for calibrating the hadron calorimeter system of theCMSetector at the LHC. The hadron calorimeters of the CMS experiment are sampling calorimeters of brass and scintillator, and are in the form of one central detector and two endcaps. These calorimeters cover pseudorapidities vertical bar eta vertical bar ee data. The energy scale of the outer calorimeters has been determined with test beam data and is confirmed through data with high transverse momentum jets. In this paper, we present the details of the calibration methods and accuracy.Peer reviewe