38 research outputs found

    Assessment of Physicochemical parameters and Water Quality Index of Vishwamitri River, Gujarat, India

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    Development and industrialisation exert pressure on the riverine system deteriorating the serenity of the rivers. The present study was carried out in Small River flowing through Vadodara city viz., Vishwamitri River. The study revealed better water quality before its entry into the urban area. Despite of presence of STPs, there is poor water quality affecting the aquatic life and ecology. The paper throws light on pollution aspect and need to develop decentralised treatment system to tackle the river pollution problem

    Linking of different ethnicities, races and religions to lipid profile patterns and hypolipidaemic drug usage patterns in coronary artery disease patients

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    Background: Coronary artery disease (CAD) is the consequence of atherosclerosis in which inadequate blood flow in the coronary arteries leads to myocardial necrosis. The impact of ethnic on CAD might be underestimated within Indian communities. There have never been any studies done associating them to lipid profile patterns in the Indian setup hence this study is the first of its kind to work towards attending the absence of data in this direction.The study aimed to evaluate the presence of ethnic differences in lipid profile patterns and hypolipidemic drug use in CAD patients.Methods: An 8-week cross-sectional prospective study was conducted in the cardiology OPD of a tertiary care hospital. Adult CAD patients prescribed with at least one hypolipidaemic drug, having their lipid profile values and willing to give informed consent were selected. The prescription pattern was noted, and the lipid profile values of the patients classified as per ATP III guidelines by NCEP. Atherogenic dyslipidaemia was considered when patients had triglyceride levels >150 mg/dl and HDL<40 mg/dl. The collected data was analyzed using SPSS. P value less than 0.05 was considered as statistically significant.Results: A total of 123 patients enrolled. Out of these, 115 were Hindus and among Hindus, most were Brahmins (34). The most prescribed hypolipidaemic drug was Rosuvastatin. Thirty six patients had high triglyceride levels out of which 35 were Hindus. Low HDL (<40 mg/dl) was present in 70 patients out of which 64 were Hindus. Atherogenic dyslipidaemia was seen in 44 patients. Majority of them belonged to the age group of 51-60 years (43.2%) and were Patels. Total cholesterol and LDL were high in 1 and 2 Jains respectively. Lipid values were higher in Tier-3 city patients.Conclusion: Hindu patients in this study showed a poorer lipid profile while among the castes, Jains and Patel’s fared poorly. It was seen that atherogenic dyslipidemia is on a rise in the Indian population

    Utility of first trimester ultrasound before 12 weeks of gestation at tertiary care centre in western India

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    Background: The first trimester begins on the first day of the last menstrual period (LMP) and lasts until the end of 12 weeks of gestation. Transvaginal ultrasound is modality of choice for establishing the presence of an intrauterine pregnancy in the first trimester. The focus of our study is routine early pregnancy ultrasound. The purpose of this study was to diagnose various conditions of pregnancy at an early stage by using ultrasound.Methods: We conducted retrospective data analysis of random 250 pregnant patients who had undergone first-trimester ultrasonography USG) (transvaginal/abdominal) in their first antenatal visit at S.V.P. Hospital, Ahmedabad, Gujarat, India from March 2021 to February 2022. The patient was selected by a simple randomized method. Maternal age, parity, gestational age, and special features regarding maternal gestational history were compared with USG findings. Patients were divided into 13 groups on the basis of ultrasonographic diagnosis.Results: We noted 76.8% of patients had single, viable, intrauterine pregnancies, while 23.2% had complicated pregnancies with uterine anomalies, ovarian cysts, leiomyoma, caesarean scar pregnancy or subchorionic hematomas.Conclusions: Ultrasound measurement of fetus in first trimester is most accurate method to confirm gestational age. It is less expensive and easily available modality. First-trimester ultrasound is useful to define embryonic landmarks in developmental stages with reference to gestational age, early diagnosis of miscarriage, ectopic pregnancy, molar pregnancy, multifetal pregnancy, major fetal malformation. And also, to diagnose pregnancy with leiomyoma, caesarean scar pregnancy, uterine anomaly and pre-eclampsia with the help of uterine artery PI

    DESAIN PENGEMBANGAN MODEL PEMBELAJARAN PENDIDIKAN KEWARGANEGARAAN MELALUI ADDIE MODEL UNTUK MENINGKATKAN KARAKTER MAHASISWA DI UNIVERSITAS SLAMET RIYADI SURAKARTA

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    Citizenship Education in Higher Education is one of the compulsory subjects that make up the character of students. Long-term goals to be achieved in this study are as follows: find a design development Citizenship Through Education Learning Model to Improve Character ADDIE Students At University Slamet Riyadi Surakarta. The method used in this research is the research and development that is supported by the study of literature and literary documents and supported with Data Triangulation techniques appropriate to the problems discussed. Design development in this research using ADDIE (Analyze, Design, Develop, Implement, Evaluation). The results showed as follows: First Analysis is to analyze needs, identify problems (needs), and analysis tasks. Second, Design, this design phase, formulate learning objectives are SMART. Third, Development is the process of realizing blue-print. Fourth, Implementation is a concrete step to implement a learning system that we are creating. Fifth, Evaluation is the process to see if the system is being built successful learning, in line with initial expectations or not. Evaluation is the final step of the ADDIE model of instructional systems design. Based on the ADDIE model of instructional development was later adopted in the development stage learning model Project Citizen (PC) with a new name "MPC" (Modification of Project Citizen)

    Absolute Energy Measurements with Superconducting Transition-Edge Sensors for Muonic X-ray Spectroscopy at 44 keV

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    Superconducting transition-edge sensor (TES) microcalorimeters have great utility in x-ray applications owing to their high energy resolution, good collecting efficiency and the feasibility of being multiplexed into large arrays. In this work, we develop hard x-ray TESs to measure the absolute energies of muonic-argon (μ\mu-Ar) transition lines around 44 keV and 20 keV. TESs with sidecar absorbers of different heat capacities were fabricated and characterized for their energy resolution and calibration uncertainty. We achieved ~ 1 eV absolute energy measurement accuracy at 44 keV, and < 12 eV energy resolution at 17.5 keV

    Future and potential spending on health 2015-40: Development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries

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    Background: The amount of resources, particularly prepaid resources, available for health can affect access to health care and health outcomes. Although health spending tends to increase with economic development, tremendous variation exists among health financing systems. Estimates of future spending can be beneficial for policy makers and planners, and can identify financing gaps. In this study, we estimate future gross domestic product (GDP), all-sector government spending, and health spending disaggregated by source, and we compare expected future spending to potential future spending. Methods: We extracted GDP, government spending in 184 countries from 1980-2015, and health spend data from 1995-2014. We used a series of ensemble models to estimate future GDP, all-sector government spending, development assistance for health, and government, out-of-pocket, and prepaid private health spending through 2040. We used frontier analyses to identify patterns exhibited by the countries that dedicate the most funding to health, and used these frontiers to estimate potential health spending for each low-income or middle-income country. All estimates are inflation and purchasing power adjusted. Findings: We estimated that global spending on health will increase from US9.21trillionin2014to9.21 trillion in 2014 to 24.24 trillion (uncertainty interval [UI] 20.47-29.72) in 2040. We expect per capita health spending to increase fastest in upper-middle-income countries, at 5.3% (UI 4.1-6.8) per year. This growth is driven by continued growth in GDP, government spending, and government health spending. Lower-middle income countries are expected to grow at 4.2% (3.8-4.9). High-income countries are expected to grow at 2.1% (UI 1.8-2.4) and low-income countries are expected to grow at 1.8% (1.0-2.8). Despite this growth, health spending per capita in low-income countries is expected to remain low, at 154(UI133181)percapitain2030and154 (UI 133-181) per capita in 2030 and 195 (157-258) per capita in 2040. Increases in national health spending to reach the level of the countries who spend the most on health, relative to their level of economic development, would mean $321 (157-258) per capita was available for health in 2040 in low-income countries. Interpretation: Health spending is associated with economic development but past trends and relationships suggest that spending will remain variable, and low in some low-resource settings. Policy change could lead to increased health spending, although for the poorest countries external support might remain essential

    Future and potential spending on health 2015-40 : development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries

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    Background The amount of resources, particularly prepaid resources, available for health can affect access to health care and health outcomes. Although health spending tends to increase with economic development, tremendous variation exists among health financing systems. Estimates of future spending can be beneficial for policy makers and planners, and can identify financing gaps. In this study, we estimate future gross domestic product (GDP), all-sector government spending, and health spending disaggregated by source, and we compare expected future spending to potential future spending. Methods We extracted GDP, government spending in 184 countries from 1980-2015, and health spend data from 1995-2014. We used a series of ensemble models to estimate future GDP, all-sector government spending, development assistance for health, and government, out-of-pocket, and prepaid private health spending through 2040. We used frontier analyses to identify patterns exhibited by the countries that dedicate the most funding to health, and used these frontiers to estimate potential health spending for each low-income or middle-income country. All estimates are inflation and purchasing power adjusted. Findings We estimated that global spending on health will increase from US9.21trillionin2014to9.21 trillion in 2014 to 24.24 trillion (uncertainty interval [UI] 20.47-29.72) in 2040. We expect per capita health spending to increase fastest in upper-middle-income countries, at 5.3% (UI 4.1-6.8) per year. This growth is driven by continued growth in GDP, government spending, and government health spending. Lower-middle income countries are expected to grow at 4.2% (3.8-4.9). High-income countries are expected to grow at 2.1% (UI 1.8-2.4) and low-income countries are expected to grow at 1.8% (1.0-2.8). Despite this growth, health spending per capita in low-income countries is expected to remain low, at 154(UI133181)percapitain2030and154 (UI 133-181) per capita in 2030 and 195 (157-258) per capita in 2040. Increases in national health spending to reach the level of the countries who spend the most on health, relative to their level of economic development, would mean $321 (157-258) per capita was available for health in 2040 in low-income countries. Interpretation Health spending is associated with economic development but past trends and relationships suggest that spending will remain variable, and low in some low-resource settings. Policy change could lead to increased health spending, although for the poorest countries external support might remain essential.Peer reviewe

    Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016–40

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    Background: Achieving universal health coverage (UHC) requires health financing systems that provide prepaid pooled resources for key health services without placing undue financial stress on households. Understanding current and future trajectories of health financing is vital for progress towards UHC. We used historical health financing data for 188 countries from 1995 to 2015 to estimate future scenarios of health spending and pooled health spending through to 2040. Methods: We extracted historical data on gross domestic product (GDP) and health spending for 188 countries from 1995 to 2015, and projected annual GDP, development assistance for health, and government, out-of-pocket, and prepaid private health spending from 2015 through to 2040 as a reference scenario. These estimates were generated using an ensemble of models that varied key demographic and socioeconomic determinants. We generated better and worse alternative future scenarios based on the global distribution of historic health spending growth rates. Last, we used stochastic frontier analysis to investigate the association between pooled health resources and UHC index, a measure of a country's UHC service coverage. Finally, we estimated future UHC performance and the number of people covered under the three future scenarios. Findings: In the reference scenario, global health spending was projected to increase from US10trillion(9510 trillion (95% uncertainty interval 10 trillion to 10 trillion) in 2015 to 20 trillion (18 trillion to 22 trillion) in 2040. Per capita health spending was projected to increase fastest in upper-middle-income countries, at 4·2% (3·4–5·1) per year, followed by lower-middle-income countries (4·0%, 3·6–4·5) and low-income countries (2·2%, 1·7–2·8). Despite global growth, per capita health spending was projected to range from only 40(2465)to40 (24–65) to 413 (263–668) in 2040 in low-income countries, and from 140(90200)to140 (90–200) to 1699 (711–3423) in lower-middle-income countries. Globally, the share of health spending covered by pooled resources would range widely, from 19·8% (10·3–38·6) in Nigeria to 97·9% (96·4–98·5) in Seychelles. Historical performance on the UHC index was significantly associated with pooled resources per capita. Across the alternative scenarios, we estimate UHC reaching between 5·1 billion (4·9 billion to 5·3 billion) and 5·6 billion (5·3 billion to 5·8 billion) lives in 2030. Interpretation: We chart future scenarios for health spending and its relationship with UHC. Ensuring that all countries have sustainable pooled health resources is crucial to the achievement of UHC. Funding: The Bill & Melinda Gates Foundation
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