89 research outputs found
A Management of forgotten double J Ureteric stent in a young male: A Case Report
Urologic devices called Double-J stents (DJSs) are frequently used to treat urinary tract blockage. Advancement in endourology in last few decades has led to an increase in use of ureteric stents and so its related complications. Herein, we report a case of a 17 years old male patient of poor socioeconomic background from a remote village of Afghanistan, presented to our out-patient department with abdominal pain at the right flank. He had history of double J stent placement during right open pyelolithotomy 6 year before. However, no further details were available
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Launching an Interactive Cancer Projects Map: A Collaborative Approach to Global Cancer Research and Program Development
The Childhood Acute Illness and Nutrition (CHAIN) network nested case-cohort study protocol: a multi-omics approach to understanding mortality among children in sub-Saharan Africa and South Asia
Introduction: Many acutely ill children in low- and middle-income settings have a high risk of mortality both during and after hospitalisation despite guideline-based care. Understanding the biological mechanisms underpinning mortality may suggest optimal pathways to target for interventions to further reduce mortality. The Childhood Acute Illness and Nutrition (CHAIN) Network ( www.chainnnetwork.org) Nested Case-Cohort Study (CNCC) aims to investigate biological mechanisms leading to inpatient and post-discharge mortality through an integrated multi-omic approach. Methods and analysis; The CNCC comprises a subset of participants from the CHAIN cohort (1278/3101 hospitalised participants, including 350 children who died and 658 survivors, and 270/1140 well community children of similar age and household location) from nine sites in six countries across sub-Saharan Africa and South Asia. Systemic proteome, metabolome, lipidome, lipopolysaccharides, haemoglobin variants, toxins, pathogens, intestinal microbiome and biomarkers of enteropathy will be determined. Computational systems biology analysis will include machine learning and multivariate predictive modelling with stacked generalization approaches accounting for the different characteristics of each biological modality. This systems approach is anticipated to yield mechanistic insights, show interactions and behaviours of the components of biological entities, and help develop interventions to reduce mortality among acutely ill children. Ethics and dissemination. The CHAIN Network cohort and CNCC was approved by institutional review boards of all partner sites. Results will be published in open access, peer reviewed scientific journals and presented to academic and policy stakeholders. Data will be made publicly available, including uploading to recognised omics databases. Trial registration NCT03208725
Energy conservation of bio-nanofluids past a needle in the presence of Stefan blowing : lie symmetry and numerical simulation
Thermal energy management associated with the transmission of heat is one of the main
problems in many industrial setups (e.g. pharmaceutical, chemical and food) and bioengineering
devices (e.g. hospital ventilation, heating, cooling devices, heat exchanger and
drying food, etc). The current study aims to examine thermo-bioconvection of oxytactic
microorganisms taking place in a nanofluid-saturated needle with the magnetic field. Stefanblowing
is applied. The leading equations of continuity, momentum and energy, species
transport equations for oxygen concentration and population density of microorganisms are
reduced dimensionless and Lie symmetry group transformations are used to generate
appropriate invariant transformations. The resulting similarity boundary value problem (in
which the blowing parameter is coupled with concentration) have been simulated using
MATLAB (2015a) bvp5c built in function. The impact of the emerging factors on the
nondimensional velocity, temperature, nanoparticle concentration and motile microorganism
density functions and their slopes at the wall, are pictured and tabulated. Justification with
published results are included. It is found that all physical quantities decrease with Stefan
blowing and increase with power law index parameter. With elevation in magnetic field
parameter i.e., Lorentzian drag force, the friction factor
reduces while the local Nusselt number,
local Sherwood number, and the local motile microorganism density wall gradient increase.
Present study could be used in food and pharmaceutical industries, chemical processing
equipment, fuel cell technology, enhanced oil recovery, etc
Changes in susceptibility to life-threatening infections after treatment for complicated severe malnutrition in Kenya
Background
Goals of treating childhood Severe Acute Malnutrition (SAM), besides anthropometric recovery and preventing short-term mortality, include reducing risks of subsequent serious infections. How quickly and how much the risk of serious illness changes during rehabilitation is unknown, but could inform improving design and scope of interventions.
Objective
To investigate changes in the risk of life-threatening events (LTEs) in relation to anthropometric recovery from SAM.
Design
Secondary analysis of a clinical trial including 1,778 HIV-uninfected Kenyan children aged 2-59 months with complicated SAM, enrolled following the inpatient stabilization phase of treatment, and followed for 12 months. The main outcome was LTEs, defined as infections requiring re-hospitalization or causing death. We examined anthropometry measured at months one, three and six after enrolment in relation to LTEs occurring during the 6 months following each of these time points.
Results
During 12 months, there were 823 LTEs (257 fatal), predominantly severe pneumonia and diarrhea. At months one, three and six, 557(34%), 764(49%) and 842(56%) children had WHZ≥-2 respectively which, compared to WHZ
Conclusion
Anthropometric response was associated with rapid and substantial reduction risk of LTEs. However, reduction in susceptibility lagged behind anthropometric improvement. Disease events, alongside anthropometric assessment may provide a clearer picture of the effectiveness of interventions. Robust protocols for detecting and treating poor anthropometric recovery, and addressing broader vulnerabilities that complicated SAM indicates may save lives.</p
Ready-to-use therapeutic food with elevated n-3 polyunsaturated fatty acid content, with or without fish oil, to treat severe acute malnutrition: a randomized controlled trial
Impact of Earnings Per Share on Stock Prices and Price to Earnings Ratio
In this paper, the researchers have made an attempt to examine the impact of Earnings Per Share on the stock prices and Price to Earnings Ratio. In the study, the researchers have taken into consideration sixteen companies which represent four different industries such as Banking, Pharmaceutical, Information Technology and Cement and Cement Products industry. A reference period of eight years has been taken from 2011-2012 to 2018-2019. In order to achieve the objectives of the study, regression analysis and correlation have been employed and the findings put forth by the study affirmed that on the one hand there exists a positive relationship between Earnings per share and market price of shares and on the other hand earnings per share does not statistically, in a significant way, influence price-to-earnings ratio as the relationship between the two variables is statistically quite low. Thus, on the basis of these findings, it can be concluded that earnings per share influences one variable namely market price of stocks but does fail to influence significantly price-to-earnings ratio
IMPACT OF INFLATION ON PER CAPITA INCOME IN EMERGING ECONOMIES: EVIDENCE FROM BRICS NATIONS
In this paper an attempt has been made to analyse the impact of Inflation on per capita income of emerging economies. In order to achieve the objective of the study the researchers have taken five major emerging countries of the world which are the members of BRICS. For the purpose of analysis, the data of thirteen years has been taken from 1999 to 2011. After employing the regression model, the results confirm that independent variable (inflation) does not statistically influence the dependent variable (Per Capita Income) in three countries which are India, Brazil and South Africa. However, in the other two countries (China and Russia) the findings affirm the independent variable (Inflation) does statistically influence the dependent variable (Per Capita Income).Therefore, it can be concluded that a change in the inflation rate can not necessarily bring a change in the per capita income of a country
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