Determinants of Child Labour in Indian States: Some Empirical Explorations (1961-1991)

child labour ; India

A systematic review and meta-analysis of the efficacy and safety of intermittent preventive treatment of malaria in children (IPTc)

Background: Intermittent preventive treatment of malaria in children less than five years of age (IPTc) has been investigated as a measure to control the burden of malaria in the Sahel and sub-Sahelian areas of Africa where malaria transmission is markedly seasonal. Methods and Findings: IPTc studies were identified using a systematic literature search. Meta-analysis was used to assess the protective efficacy of IPTc against clinical episodes of falciparum malaria. The impact of IPTc on all-cause mortality, hospital admissions, severe malaria and the prevalence of parasitaemia and anaemia was investigated. Three aspects of safety were also assessed: adverse reactions to study drugs, development of drug resistance and loss of immunity to malaria. Twelve IPTc studies were identified: seven controlled and five non-controlled trials. Controlled studies demonstrated protective efficacies against clinical malaria of between 31% and 93% and meta-analysis gave an overall protective efficacy of monthly administered IPTc of 82% (95%CI 75%–87%) during the malaria transmission season. Pooling results from twelve studies demonstrated a protective effect of IPTc against all-cause mortality of 57% (95%CI 24%–76%) during the malaria transmission season. No serious adverse events attributable to the drugs used for IPTc were observed in any of the studies. Data from three studies that followed children during the malaria transmission season in the year following IPTc administration showed evidence of a slight increase in the incidence of clinical malaria compared to children who had not received IPTc. Conclusions: IPTc is a safe method of malaria control that has the potential to avert a significant proportion of clinical malaria episodes in areas with markedly seasonal malaria transmission and also appears to have a substantial protective effect against all-cause mortality. These findings indicate that IPTc is a potentially valuable tool that can contribute to the control of malaria in areas with markedly seasonal transmission

ACSys/RDN experiences with Telstra’s experimental broadband network, first progress report

This report summarises our experiences with the EBN and provides an indication of where we are now. We don’t present a set of detailed performance measurements in this report, instead we focus primarily on bandwidth utilisation and network management. We are currently producing a more comprehensive set of performance measurements, which will be presented in a subsequent report

Assessment of knowledge on self-care practices by Diabetes Mellitus Type II attending Diabetes clinic at Kakamega County Referral Hospital

Introduction: In 2012, more than 371 million people presented with Diabetes Mellitus Type II worldwide. Approximately 4.8 million people died in 2012 due to the complications of Diabetes Mellitus Type II (American Diabetes Association 2013). In 2012, in sub-Saharan Africa, Diabetes Mellitus Type II was estimated at 6 percent of total mortality, this reflects an increase from 2.5 percent in 2000. Rapid urbanization leading to sedentary lifestyle and diet changes is a big contributing factor to the rapid increase of Diabetes Mellitus Type II in Sub-Saharan Africa.Kenya presents with heavy disease burden with life expectancy averaging 56 years. Despite the commendable successes to curb CDs (Communicable Diseases), health problem status has stagnated as a result of increase in NCDs causing 28% of all patients deaths in 2010; Diabetes Mellitus Type II accounting for 2% of the total death.Study area: Kakamega County Referral Hospital is approximately 400 kilometers from Nairobi the capital city of Kenya. It is the main referral hospital in western Kenya and receives referrals from neighboring counties e.g. Vihiga County, Bungoma County and various hospitals within the County. Target Population: Diabetes Mellitus Type II patients attending Kakamega County Referral HospitalAim: To assess adequate self-care practice by Diabetes Mellitus Type II patients attending the Diabetes clinic at Kakamega County Referral Hospital.Methods and Materials: This was a descriptive cross-sectional study. Researcher administered questionnaires based on W.H.O Diabetes Mellitus Type II self-care guidelines were used to collect data. Questionnaires that were filled were screened and carefully scrutinized for completeness, relevance and correctness before storage. Qualitative data was analyzed manually and Quantitative data was organized, coded, and standardized then descriptive statistics were used to analyze aided by statistical package for social scientists (SPSS) version 22. Descriptive analysis was carried out to provide simple summaries about the sample and the measures. Tables were used to present the data. Models of statistical analysis were done to validate the findings of the study.Results: The study found out that, only 22.02% of the participants gave correct signs and symptoms of high blood sugars. Only 13% of the participants demonstrated knowledge of signs and symptoms of low blood sugar. On low blood sugar management 84.52% gave correct responses. Frequency of feet checking was poor with only 16.67% of the participants giving correct responses. Majority (93.45%) of the participants were well versed with the complications of Diabetes Mellitus Type II. Frequency of eye examination had 90.48% of the participants giving the correct responses.Conclusion: The spoken knowledge in low literacy patient with Diabetes Mellitus Type II (SKILLD) scale was poorly scored with majority of the participants demonstrating low knowledge regarding common complications of Diabetes Mellitus Type II. Keywords: Diabetes Mellitus Type II, Self-care and Patient

Consideration of nutritional value and food labels are associated with food intake in adults with depression

Background/Aims: Individuals with depression are more likely to consume poor diets and as a result are at increased risk of poor cardiometabolic health. Healthy diet may reduce depressive symptoms, however better understanding is needed of factors that support healthy eating in this population. There is limited evidence about how much consideration of the nutritional value of foods may be associated with food choices. The aim of this study was to investigate associations between food intake and consideration of nutritional value of foods in adults with depression. Methods: Adults (n = 161) with depression completed a semi-quantitative food frequency questionnaire and shopping and budgeting questionnaire. Associations between consideration of nutritional value and nutrition label use with vegetable, wholegrain, legume, snack food and soft drink intake were evaluated using linear regression, adjusting for age, gender and education. Results: In adjusted models, more consideration of the nutrition value of foods was positively associated with vegetable intake (β = 0.188; p = 0.025), wholegrain intake (β = 0.213; p = 0.015) and negatively associated with snack food intake (β = -0.236, p = 0.006). More frequent reading of nutrition labels was positively associated with legume intake (β = 0.185; p = 0.036). Better understanding of nutrition labels was positively associated with vegetable intake (β = 0.780; p = 0.035), wholegrain intake (β = 0.233; p = 0.008), and legume intake (β = 0.254; p = 0.004). There were no associations between soft drink intake and nutrition value consideration or nutrition label use. Conclusions: These findings suggest that increasing consideration of the nutrition value of foods and nutrition label use may support healthy eating in adults with depression

Deconvolution of conformational exchange from Raman spectra of aqueous RNA nucleosides

Ribonucleic acids (RNAs) are key to the central dogma of molecular biology. While Raman spectroscopy holds great potential for studying RNA conformational dynamics, current computational Raman prediction and assignment methods are limited in terms of system size and inclusion of conformational exchange. Here, a framework is presented that predicts Raman spectra using mixtures of sub-spectra corresponding to major conformers calculated using classical and ab initio molecular dynamics. Experimental optimization allowed purines and pyrimidines to be characterized as predominantly syn and anti, respectively, and ribose into exchange between equivalent south and north populations. These measurements are in excellent agreement with Raman spectroscopy of ribonucleosides, and previous experimental and computational results. This framework provides a measure of ribonucleoside solution populations and conformational exchange in RNA subunits. It complements other experimental techniques and could be extended to other molecules, such as proteins and carbohydrates, enabling biological insights and providing a new analytical tool

Assessment of agreement between invasive blood pressure measured centrally and peripherally and the influence of different haemodynamic states in anaesthetised horses

Objective To determine the agreement of invasive blood pressure measured in the facial artery, the metatarsal artery and the carotid. Additionally, to evaluate the effects of two haemodynamic conditions on agreement. Study design Prospective, randomized study. Animals Eight horses aged 7 (4 -23) years with a body weight of 493 ± 33 kg. Methods Horses were anaesthetized and positioned in dorsal recumbency. Invasive blood pressure was measured simultaneously via catheters placed in the facial, metatarsal and carotid artery. Cardiovascular function and agreement between arteries was assessed before and during administration of phenylephrine and sodium nitroprusside. These were administered until carotid mean pressure (MAPc) increased or decreased from baseline (65 ± 5 mmHg) to > 90 mmHg or < 50 mmHg, respectively. Data recorded at each sample time included systolic (SAP), mean (MAP) and diastolic (DAP) for carotid (c), facial (f) and metatarsal (m) artery as well as cardiac output (Q̇t) and systemic vascular resistance (SVR). Bland-Altman analysis was used to assess agreement between peripheral and central sites and regression analysis was used to determine influence of Q̇t and SVR. Results The largest difference was observed in SAPc and SAPm with a bias and limits of agreement (LOA) of 2 (-15 to 19) mmHg. The bias (LOA) for MAPc and MAPf was 2 (-4 to 9) mmHg and for MAPc and MAPm was 5 (-4 to 14) mmHg. The best agreement for DAP was seen between DAPc and DAPf with bias (LOA) of 1 (-3 to 5) mmHg. Regression analysis indicated marginal influence on agreement by Q̇t on MAPc and MAPf. Conclusion and clinical relevance The MAP and DAP of the carotid was generally higher compared to the peripheral arteries, which may lead to overzealous treatment of hypotension, albeit maintaining central pressures. Cardiac output and systemic vascular resistance did not largely influence the difference between sites

Advanced High-Temperature Reactor Dynamic System Model Development: April 2012 Status

The Advanced High-Temperature Reactor (AHTR) is a large-output fluoride-salt-cooled high-temperature reactor (FHR). An early-phase preconceptual design of a 1500 MW(e) power plant was developed in 2011 [Refs. 1 and 2]. An updated version of this plant is shown as Fig. 1. FHRs feature low-pressure liquid fluoride salt cooling, coated-particle fuel, a high-temperature power cycle, and fully passive decay heat rejection. The AHTR is designed to be a “walk away” reactor that requires no action to prevent large off-site releases following even severe reactor accidents. This report describes the development of dynamic system models used to further the AHTR design toward that goal. These models predict system response during warmup, startup, normal operation, and limited off-normal operating conditions. Severe accidents that include a loss-of-fluid inventory are not currently modeled. The scope of the models is limited to the plant power system, including the reactor, the primary and intermediate heat transport systems, the power conversion system, and safety-related or auxiliary heat removal systems. The primary coolant system, the intermediate heat transport system and the reactor building structure surrounding them are shown in Fig. 2. These systems are modeled in the most detail because the passive interaction of the primary system with the surrounding structure and heat removal systems, and ultimately the environment, protects the reactor fuel and the vessel from damage during severe reactor transients. The reactor silo also plays an important role during system warmup. The dynamic system modeling tools predict system performance and response. The goal is to accurately predict temperatures and pressures within the primary, intermediate, and power conversion systems and to study the impacts of design changes on those responses. The models are design tools and are not intended to be used in reactor qualification. The important details to capture in the primary system relate to flows within the reactor vessel during severe events and the resulting temperature profiles (temperature and duration) for major components. Critical components include the fuel, reactor vessel, primary piping, and the primary-to-intermediate heat exchangers (P-IHXs). The major AHTR power system loops are shown in Fig. 3. The intermediate heat transfer system is a group of three pumped salt loops that transports the energy produced in the primary system to the power conversion system. Two dynamic system models are used to analyze the AHTR. A Matlab/Simulink-based model initiated in 2011 has been updated to reflect the evolving design parameters related to the heat flows associated with the reactor vessel. The Matlab model utilizes simplified flow assumptions within the vessel and incorporates an empirical representation of the Direct Reactor Auxiliary Cooling System (DRACS). A Dymola/Modelica model incorporates a more sophisticated representation of primary coolant flow and a physics-based representation of the three-loop DRACS thermal hydraulics. This model is not currently operating in a fully integrated mode. The Matlab model serves as a prototype and provides verification for the Dymola model, and its use will be phased out as the Dymola model nears completion. The heat exchangers in the system are sized using spreadsheet-based, steady-state calculations. The detail features of the heat exchangers are programmed into the dynamic models, and the overall dimensions are used to generate realistic plant designs. For the modeling cases where the emphasis is on understanding responses within the intermediate and primary systems, the power conversion system may be modeled as a simple boundary condition at the intermediate-to-power conversion system heat exchangers

Capacity Value of Solar Power: Report of the IEEE PES Task Force on Capacity Value of Solar Power

This paper reviews methods used for adequacy risk assessment considering solar power, and for assessment of the capacity value of solar power. The properties of solar power are described as seen from the perspective of the balancing authority, comparing differences in energy availability and capacity factors with those of wind. Methodology for risk calculations considering variable generation (VG) are then surveyed, including the probability background, statistical estimation approaches, and capacity value metrics. Issues in incorporating VG in capacity markets are described, followed by a review of applied studies considering solar power. Finally, recommendations for further research will be presented