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The main objective of this review is to summarize the evidence on the core modelling specifications and methodology on the cost-effectiveness of TKR compared to non-surgical management. Another objective of this study is to synthesize evidence of TKR cost and compare it across countries using purchasing power parity (PPP). The electronic databases used for this review were MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), HTAIn repository, Cost effectiveness Analysis (CEA) registry, and Google Scholar. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) was used to assess the validity of the methods and transparency in reporting the results. The Quality of Health Economic Studies (QHES) was used to check the quality of economic evaluation models of the studies included. The cost of TKR surgery from high income and low- or middle-income countries were extracted and converted to single USD ($) using purchasing power parities (PPP) method. Thirty-two studies were included in this review, out of which eight studies used Markov model, five used regression model, one each reported Marginal structure model, discrete simulation model, decision tree and Osteoarthritis Policy Model (OAPol) respectively to assess the cost-effectiveness of TKR. For PPP, twenty-six studies were included in the analysis of TKR cost. The average cost of TKR surgery was the lowest in developing country-India ($3457) and highest in USA ($19568). The findings of this review showed that the Markov model was most widely used in the analysis of the cost effectiveness of TKR. Our review also concluded that the cost of TKR was higher in the developed countries as compared to the developing countries.

Multilevel inverters (MLIs) are commonly used in photovoltaic power stations, wind farms, and other forms of renewable energy generation. This study presents a new novel multi-gain switched capacitor (SC) based structural approach. The voltage gain of the proposed design (PD) can be increased threefold by utilizing two switching capacitors and nine switches. Additional significant benefits of the PD include lower voltage stress, an inherent self-balancing of the capacitor voltage, and a minimal amount of switching components. A backside H-bridge is not required to generate negative voltage levels. The PD provides a detailed explanation of the structural analysis, the self-balancing mechanism, the optimum capacitance value, and the control approach. In order to highlight the advantages of the PD, a fair comparison is presented with the most recent seven-level single-source topologies. Finally, Simulation results confirm the accuracy of the theoretical analysis and a prototype has been constructed to demonstrate that the practical findings are doable and successful, with the efficiency tested reaching 96.95%.

Extreme heat and heat waves have been established as disasters which can lead to a great loss of life. Several studies over the years, both within and outside of India, have shown how extreme heat events lead to an overall increase in mortality. However, the impact of extreme heat, similar to other disasters, depends upon the vulnerability of the population. This study aims to assess the extreme heat vulnerability of the population of four cities with different characteristics across India. This cross-sectional study included 500 households from each city across the urban localities (both slum and non-slum) of Ongole in Andhra Pradesh, Karimnagar in Telangana, Kolkata in West Bengal and Angul in Odisha. Twenty-one indicators were used to construct a household vulnerability index to understand the vulnerability of the cities. The results have shown that the majority of the households fell under moderate to high vulnerability level across all the cities. Angul and Kolkata were found to be more highly vulnerable as compared to Ongole and Karimnagar. Further analysis also revealed that household vulnerability is more significantly related to adaptive capacity than sensitivity and exposure. Heat Vulnerability Index can help in identifying the vulnerable population and scaling up adaptive practices.

Background: Extreme heat and heat illness are becoming very frequent in India. We aimed to identify the factors associated with heat illness and the coping practices among city dwellers of Odisha, India during the summer. Methods: A cross-sectional study included 766 households (HHs) in twin cities of Odisha covering a population of 1099 (slum: 404 and non-slum: 695) in the year 2017. We collected information on sociodemographic, household characteristics, coping practices to heat and the heat illness history reported during the summer. Multivariate logistic regression accounting for clustering effects at the household and slum levels was used to identify the associated factors of heat illness after adjustment of other variables. Result: Nearly, 49% of the study participants were female and the mean age was 38.36 years (95% confidence interval (CI): 37.33–39.39 years). A significant difference of living environment was seen across the groups. More than two-thirds of the study participants at least once had heat illness. In the non-slum population, males (adjusted odds ratio (aOR): 3.56; 95% CI: 2.39–5.29), persons under medication (aOR: 3.09; 95% CI: 1.15–8.29), and chronic conditions had higher association with heat illness. Whereas, in the slum population, having a kitchen outside the home (aOR: 1.63; 95% CI: 1.02–3.96) and persons with chronic conditions were positively associated with heat illness. Use of cooling practices in slum areas reduced the risk of heat illness by 60%. Conclusion: Heat illness is associated with the living environment and physical health of the individuals. Identifying the vulnerable population and scaling up adaptive practices can strengthen the public health preparedness.

High ambient temperature is a key public health problem, as it is linked to high heat-related morbidity and mortality. We intended to recognize the characteristics connected to heat vulnerability and the coping practices among Indian urbanites of Angul and Kolkata. In 2020, a cross-sectional design was applied to 500 households (HHs) each in Angul and Kolkata. Information was gathered on various characteristics including sociodemographics, household, exposure, sensitivity, and coping practices regarding heat and summer heat illness history, and these characteristics led to the computation of a heat vulnerability index (HVI). Bivariate and multivariable logistic regression analyses were used with HVI as the outcome variable to identify the determinants of high vulnerability to heat. The results show that some common and some different factors are responsible for determining the heat vulnerability of a household across different cities. For Angul, the factors that influence vulnerability are a greater number of rooms in houses, the use of cooling methods such as air conditioning, having comorbid conditions, the gender of the household head, and distance from nearby a primary health centre (PHC). For Kolkata, the factors are unemployment, income, the number of rooms, sleeping patterns, avoidance of nonvegetarian food, sources of water, comorbidities, and distance from a PHC. The study shows that every city has a different set of variables that influences vulnerability, and each factor should be considered in design plans to mitigate vulnerability to extreme heat.

Photovoltaic panel output is affected by various factors like solar isolation, temperature, dust, shading, mounting. Among all these factors dust is a prominent factor which greatly reduces panel efficiency. With increase in the quantity of dust both efficiency and power output of the module reduces. As the mass of dust deposition increases, power output and the efficiency of the module decreases. Dust particles are of different shapes and sizes. PV panels installed on ground or roof top are subjected to dust all the time. The amount and type of dust deposition depends on tilt angle, locations, surroundings nearby, rainfall pattern of that area, maintenance method of the installer. PV plant nearby any industry giving out lot of fumes and smokes will have heavy dust deposition over its top surface. Similarly, PV plants located near areas where roads are not concrete can cause dust deposition on its panels. Manual maintenance is labor costing and less efficient. In this work we have performed dust analysis on the performance of PV panel and designed an effective method to clean the panel and make it dust free. Solar dust cleaner and cooler system provides a solution for both dusts cleaning and keeping the panels at less temperature.

The main objective of this review is to summarize the evidence on the core modelling specifications and methodology on the cost-effectiveness of TKR compared to non-surgical management. Another objective of this study is to synthesize evidence of TKR cost and compare it across countries using purchasing power parity (PPP). The electronic databases used for this review were MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), HTAIn repository, Cost effectiveness Analysis (CEA) registry, and Google Scholar. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) was used to assess the validity of the methods and transparency in reporting the results. The Quality of Health Economic Studies (QHES) was used to check the quality of economic evaluation models of the studies included. The cost of TKR surgery from high income and low- or middle-income countries were extracted and converted to single USD ( ) using purchasing power parities (PPP) method. Thirty-two studies were included in this review, out of which eight studies used Markov model, five used regression model, one each reported Marginal structure model, discrete simulation model, decision tree and Osteoarthritis Policy Model (OAPol) respectively to assess the cost-effectiveness of TKR. For PPP, twenty-six studies were included in the analysis of TKR cost. The average cost of TKR surgery was the lowest in developing country-India ( 3457) and highest in USA (19568). The findings of this review showed that the Markov model was most widely used in the analysis of the cost effectiveness of TKR. Our review also concluded that the cost of TKR was higher in the developed countries as compared to the developing countries.

Multilevel inverters are having high demand in high power applications. It works in medium voltage range. In this converter, for specific time intervals fewer switches will be conducting so switching loss is also reduced. This paper represents overall total harmonic distortion (THD) for different levels and different carrier frequencies. Switching loss, conduction loss of inverter has been discussed and hence inverter efficiency can be calculated. Phase displacement pulse width modulation method has been proposed in order to generate pulses. The proposed topology is well presented by its practical implementation with two current direct sources. All the simulations are being carried out using MATLAB/Simulink platform to validate the hardware results.

This study is an economic evaluation of total knee replacement (TKR) in comparison with non-surgical management in India. Cost-utility analysis and budget impact analysis (BIA) were conducted on individuals aged ≥ 50 years with osteoarthritis of the knee (OA knee) Kellgren-Lawrence grades 2 and 3 using a provider's perspective. Three scenarios were considered, varying the age at which TKR is administered while assuming a 20-year lifespan for the implant. A Markov model was used to determine incremental cost-effectiveness ratios (ICERs). Sensitivity analysis was conducted incorporating implant costs and other input parameters. Net quality-adjusted life-years (QALYs) gained per OA knee treated with TKR were superior when performed at the age of 50, regardless of OA severity and across all scenarios. The lowest ICER was 36,107 Indian National Rupees (INR) (USD 482.9)/QALY gained, observed at 50 years, while the highest was INR 61,363 (USD 820.72)/QALY gained at 70 years for grade-2 severity. Sensitivity analysis revealed that the ICER was most sensitive to the cost of non-surgical management, health utility values gained in an improved state, and the cost of TKR across scenarios. For the BIA in Scenario 1, with 40% coverage for TKR, costs reach INR 5013 crores (cr) (USD 670,477,060) in 2023 and INR 8444 cr (USD 1,024,628,736) in 2028 (1% of government budgets). In Scenario 2 (full coverage), costs are INR 12,532 cr (USD 1,520,683,008) (2.7%) in 2023, declining to 2.4% in 2028. In Scenario 3, covering 40% under the National Health Mission (NHM), costs vary from 17% in 2023 to 25% in 2028. This study concludes that TKR is a cost-effective treatment option compared with non-surgical management for OA knee in India, irrespective of age, implant types, and severity.

Objective This study is an economic evaluation of total knee replacement (TKR) in comparison with non-surgical management in India. Methods Cost-utility analysis and budget impact analysis (BIA) were conducted on individuals aged ≥ 50 years with osteoarthritis of the knee (OA knee) Kellgren-Lawrence grades 2 and 3 using a provider’s perspective. Three scenarios were considered, varying the age at which TKR is administered while assuming a 20-year lifespan for the implant. A Markov model was used to determine incremental cost-effectiveness ratios (ICERs). Sensitivity analysis was conducted incorporating implant costs and other input parameters. Results Net quality-adjusted life-years (QALYs) gained per OA knee treated with TKR were superior when performed at the age of 50, regardless of OA severity and across all scenarios. The lowest ICER was 36,107 Indian National Rupees (INR) (USD 482.9)/QALY gained, observed at 50 years, while the highest was INR 61,363 (USD 820.72)/QALY gained at 70 years for grade-2 severity. Sensitivity analysis revealed that the ICER was most sensitive to the cost of non-surgical management, health utility values gained in an improved state, and the cost of TKR across scenarios. For the BIA in Scenario 1, with 40% coverage for TKR, costs reach INR 5013 crores (cr) (USD 670,477,060) in 2023 and INR 8444 cr (USD 1,024,628,736) in 2028 (1% of government budgets). In Scenario 2 (full coverage), costs are INR 12,532 cr (USD 1,520,683,008) (2.7%) in 2023, declining to 2.4% in 2028. In Scenario 3, covering 40% under the National Health Mission (NHM), costs vary from 17% in 2023 to 25% in 2028. Conclusion This study concludes that TKR is a cost-effective treatment option compared with non-surgical management for OA knee in India, irrespective of age, implant types, and severity.