1,459 research outputs found

    An unusual congregation of organisms in the catches off Kovalam, Madras

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    The fishermen belonging to Kovalam had a hectic activity in harvesting huge quantities of fish from the Kovalam bay from 26-8-'87 to 4-9-'87. Fishermen employed all available gears for catching the fish and prawns. According to them, this was due to the appearance of 'Vandal thanneer' or turbid water close to the shore. The present account embodies the results of the observations made on this unusual phenomenon

    Financial crises and the attainment of the SDGs: an adjusted multidimensional poverty approach

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    This paper analyses the impact of financial crises on the Sustainable Development Goal of eradicating poverty. To do so, we develop an adjusted Multidimensional Poverty Framework (MPF) that includes 15 indicators that span across key poverty aspects related to income, basic needs, health, education and the environment. We then use an econometric model that allows us to examine the impact of financial crises on these indicators in 150 countries over the period 1980–2015. Our analysis produces new estimates on the impact of financial crises on poverty’s multiple social, economic and environmental aspects and equally important captures dynamic linkages between these aspects. Thus, we offer a better understanding of the potential impact of current debt dynamics on Multidimensional Poverty and demonstrate the need to move beyond the boundaries of SDG1, if we are to meet the target of eradicating poverty. Our results indicate that the current financial distress experienced by many low-income countries may reverse the progress that has been made hitherto in reducing poverty. We find that financial crises are associated with an approximately 10% increase of extreme poor in low-income countries. The impact is even stronger in some other poverty aspects. For instance, crises are associated with an average decrease of government spending in education by 17.72% in low-income countries. The dynamic linkages between most of the Multidimensional Poverty indicators, warn of a negative domino effect on a number of SDGs related to poverty, if there is a financial crisis shock. To pre-empt such a domino effect, the specific SDG target 17.4 on attaining long-term debt sustainability through coordinated policies plays a key role and requires urgent attention by the international community

    Climate and southern Africa's water-energy-food nexus

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    In southern Africa, the connections between climate and the water-energy-food nexus are strong. Physical and socioeconomic exposure to climate is high in many areas and in crucial economic sectors. Spatial interdependence is also high, driven for example, by the regional extent of many climate anomalies and river basins and aquifers that span national boundaries. There is now strong evidence of the effects of individual climate anomalies, but associations between national rainfall and Gross Domestic Product and crop production remain relatively weak. The majority of climate models project decreases in annual precipitation for southern Africa, typically by as much as 20% by the 2080s. Impact models suggest these changes would propagate into reduced water availability and crop yields. Recognition of spatial and sectoral interdependencies should inform policies, institutions and investments for enhancing water, energy and food security. Three key political and economic instruments could be strengthened for this purpose; the Southern African Development Community, the Southern African Power Pool, and trade of agricultural products amounting to significant transfers of embedded water

    Acute Kidney Injury Biomarkers: from bench to clinical use

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    info:eu-repo/semantics/publishedVersio

    Phenotypic characterization and genetic analysis for identification of trait-specific germplasm in Sunflower (Helianthus annuus L.)

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    An experiment conducted at TNAU, Coimbatore, during the rabi season of 2023-2024, evaluated 105 sunflower germplasm lines using ARBD. The ANOVA indicated significant differences among twelve traits, with high genetic variability observed in oil yield per plant, seed yield per plant, and hundred seed weight. Heritability and genetic advance were notably high for plant height, seed yield per plant, and oil yield per plant. Correlation analysis showed that seed yield per plant was positively correlated with plant height, head diameter, hundred seed weight, oil content, and oil yield per plant but negatively with leaf size. Path analysis revealed that oil yield per plant had the most substantial positive direct effect on seed yield, while oil content had the most significant negative direct effect. Plant height, head diameter, and hundred seed weight positively influenced yield indirectly through oil yield per plant but negatively via oil content. Principal Component Analysis (PCA) identified four principal components with Eigen values greater than 1, explaining 62.91 % of the variability. Notably, diverse genotypes included CB-GMU1189, CB-GMU-400, and CB-IB-62. Mahalanobis D2 statistics identified seven clusters, with Cluster 1 containing the most genotypes and Clusters 6 and 7 showing the highest inter-cluster distance, indicating significant genetic diversity. Cluster 5 had the highest mean for several traits. The sunflower germplasm accessions exhibited considerable variability in morphological characteristics such as hypocotyl pigmentation, leaf blistering, leaf serration, petiole pigmentation, stem pigmentation, ray floret shape, stigma pigmentation, seed shape, seed stripes, and seed stripe colour. Therefore, the accessions identified for superior traits include 14 genotypes for very high yield (>35 g/plant), five for high seed oil content (40-43 %), and 22 for high 100-seed weight (>6 g) and can be considered as superior trait-specific accessions in sunflower

    Design of neural PID controller for reduced order model

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    Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.The aim of this paper is to design a PID controller for higher order systems using the proposed model reduction method with neural networks. In a linear time invariant continuous system (LTICS) the coefficient matrix cannot be stored explicitly in a computer memory. The matrix vector products can be computed relatively in a less expensive manner by using an approximation technique. A novel method is proposed to obtain a reduced model from a higher order linear time invariant continuous system. The proposed scheme is simple, computationally straight forward and does not involve any complex algebra. The reduced order model will always be stable if the higher order system is stable. Using the proposed method, PID controller is designed for the higher order linear time invariant continuous system to meet the performance specifications. The PID controller parameters are tuned by using Back propagation Network.Technical sponsored by IEEE Malaysia Sectio

    Irreversible renal damage after transient renin-angiotensin system stimulation:involvement of an AT1-receptor mediated immune response

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    Transient activation of the renin-angiotensin system (RAS) induces irreversible renal damage causing sustained elevation in blood pressure (BP) in Cyp1a1-Ren2 transgenic rats. In our current study we hypothesized that activation of the AT1-receptor (AT1R) leads to a T-cell response causing irreversible impairment of renal function and hypertension. Cyp1a1-Ren2 rats harbor a construct for activation of the RAS by indole-3-carbinol (I3C). Rats were fed a I3C diet between 4-8 weeks of age to induce hypertension. Next, I3C was withdrawn and rats were followed-up for another 12 weeks. Additional groups received losartan (20 mg/kg/day) or hydralazine (100 mg/kg/day) treatment between 4-8 weeks. Rats were placed for 24h in metabolic cages before determining BP at week 8, 12 and 20. At these ages, subsets of animals were sacrificed and the presence of kidney T-cell subpopulations was investigated by immunohistochemistry and molecular marker analysis. The development of sustained hypertension was completely prevented by losartan, whereas hydralazine only caused a partial decrease in BP. Markers of renal damage: KIM-1 and osteopontin were highly expressed in urine and kidney samples of I3C-treated rats, even until 20 weeks of age. Additionally, renal expression of regulatory-T cells (Tregs) was highly increased in I3C-treated rats, whereas the expression of T-helper 1 (Th1) cells demonstrated a strong decrease. Losartan prevented these effects completely, whereas hydralazine was unable to affect these changes. In young Cyp1a1-Ren2 rats AT1R activation leads to induction of an immune response, causing a shift from Th1-cells to Tregs, contributing to the development of irreversible renal damage and hypertension

    Heart failure with reduced ejection fraction polypill implementation strategy in India: A convergent parallel mixed methods study

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    INTRODUCTION: A polypill-based implementation strategy has been proposed to increase rates of guideline-directed medical therapy (GDMT) in patients with heart failure with reduced ejection fraction. This has the potential to improve mortality and morbidity in India and undertreated populations globally. METHODS: We conducted a convergent parallel mixed methods study integrating quantitative data from stakeholder surveys using modified implementation science outcome measures and qualitative data from key informant in-depth interviews. Our objective was to explore physician, nurse, pharmacist, and patient perspectives on a HFrEF polypill implementation strategy in India from January 2021 to April 2021. Quantitative and qualitative data were integrated to develop an Implementation Research Logic Model. RESULTS: Among 69 respondents to the stakeholder survey, there was moderate acceptability (mean [SD] 3.8 [1.0]), appropriateness (3.6 [1.0]), and feasibility (3.7 [1.0]) of HFrEF polypill implementation strategy. Participants in the key-informant in-depth interviews (n = 20) highlighted numerous relative advantages of the HFrEF polypill innovation including potential to simplify medication regimens and improve patient adherence. Key relative disadvantages elucidated, include concerns about side effects and interruption of multiple GDMT medications due to polypill discontinuation for side effects or hospitalizations. Based on this data, the proposed implementation strategies in the Implementation Research Logic Model include 1) HFrEF polypills, 2) HFrEF polypill initiation, titration, and maintenance protocols, and 3) HFrEF polypill laboratory monitoring protocols for safety which we postulate will lead to desired clinical and implementation outcomes through multiple mechanisms including increased medication adherence to a single pill. CONCLUSION: This study demonstrates that a HFrEF polypill-based implementation strategy is considered acceptable, feasible, and appropriate among healthcare providers in India. We identified contextually relevant determinants, strategies, mechanism, and outcomes outlined in an Implementation Research Logic Model to inform future research to improve heart failure care in South Asia

    Neutrophil gelatinase-associated lipocalin in dehydrated patients: a preliminary report

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    <p>Abstract</p> <p>Background</p> <p>Acute kidney injury has been recognized as a major contributor to end stage renal disease. Although neutrophil gelatinase-associated lipocalin (Ngal) has been reported as a promising biomarker for early detection of acute kidney injury, no study has yet examined its potential clinical impact in patients with normal renal function. The purpose of current study is to investigate possible difference in serum Ngal levels between dehydrated and control patients.</p> <p>Findings</p> <p>A total of twelve patients presented with symptoms of mild dehydration defined by history of diarrheas or vomiting and orthostatic (postural) hypotension and an age and sex matched group of twelve control patients were included. The two groups of patients did not seem to differ in basic clinical and laboratory parameters. Serum Ngal was higher in dehydrated patients when compared to control group (Ngal = 129.4 ± 25.7 ng/mL vs 60.6 ± 0.4 ng/mL, p = 0.02). Ngal was not correlated with age, hemoglobin, white blood cell count, red blood cell count, urea or creatinine.</p> <p>Conclusions</p> <p>The presence of elevated Ngal levels in dehydrated patients may suggest its role as a very sensitive biomarker in even minimal and "silent" prerenal kidney dysfunction</p
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