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Background and aims: The present study aims to investigate the disparities in healthcare utilization and healthcare burden among individuals with and without diabetes. The prevalence of diabetes is more pronounced among older adults, which can detrimentally influence their health and quality of life while also restricting their capacity to self-manage and giving rise to competing healthcare demands. Thus, it is crucial to understand the implications of diabetes on healthcare demands and expenditures to mitigate its detrimental consequences. Methods: Data was used from the initial round of the Longitudinal Aging Study in India (LASI), conducted in 2017–18. The analytical sample included 65,562 individuals aged 45 or above, and 8429 individuals were identified as having diabetes. The primary outcome variable was the out-of-pocket expenditure (OOPE) in the most recent hospitalization. Descriptive statistics and logistic regression are used to find the trend in the prevalence of morbidities both in diabetic and nondiabetic groups. Additionally, quantile regression was used to study the association between the presence of diabetes and the risk of excess healthcare expenditure calculated through out-of-pocket expenditure for hospitalization and expenditure on medicines. Results: 16% of people with diabetes were hospitalized in the past year, compared to 9% without diabetes. The mean hospitalization length for diabetics was 13.6 days, compared to 6.5 for nondiabetics. Diabetes is significantly associated with higher OOPE for hospitalization across all quintiles, and its effect on hospitalization is weakest in the highest quintile. Having diabetes is also found to be significantly associated with the expenditure on medicines across all quintiles. Conclusion: The study highlights the need for diabetes awareness programs and interventions integrated into national health policies. The quantile regression model provides crucial insights into the association between diabetes and OOPE for hospitalization and medicine The increase of OOPE for hospitalisation and medicine due to the presence of diabetes emphasizes the need to address the financial burden faced by people with diabetes, highlighting the urgency of prioritizing measures to improve access to affordable care. [ABSTRACT FROM AUTHOR]

Background: Pregnancy registration is one of the most critical components of women's reproductive health because it is the gateway to entering the continuum of care services such as antenatal care, institutional delivery, and postnatal care. There is a lack of studies exploring the relationship between pregnancy intention and pregnancy registration, especially in the Indian context. Method: This study used the National Family Health Survey-5 (2019-21) data to explore the relationship between birth intention and failure of pregnancy registration. The bivariate and multivariate (binary logistic regression) analysis was carried out. Results: Adjusting the effects of socio-demographic and economic characteristics, compared with women with an intended pregnancy, the odds of failure of pregnancy registration were significantly high among women with a mistimed pregnancy (OR = 1.60, 95% CI = 1.47–1.73) and unwanted pregnancy (OR = 1.38, 95% CI = 1.26–1.52). The study found pregnancy intention as a significant predictor of pregnancy registration. Conclusions: Results suggest strengthening the interaction of grassroots-level health workers with women, especially those with possibly lower healthcare autonomy and unintended pregnancy. Higher and earlier pregnancy registration will enhance maternal healthcare utilization and reduce adverse health consequences to mothers and children, thus ensuring better maternal and child health. [ABSTRACT FROM AUTHOR]

Background: In India, more than half of the newborns experience delayed breastfeeding, and non-exclusive breastfeeding is practiced in 63% of babies below the age of six months. The goal of this study is to investigate the extent to which external environment, demographic and socioeconomic, pregnancy and birthing characteristics, as well as utilization of maternal care services, are associated with delayed initiation and non-exclusive breastfeeding among children in India. Methods: Data was gathered from the fifth round of the National Family Health Survey (NFHS), which was conducted in 2019-21. This study used information on 85,037 singleton infants aged 0–23 months and 22,750 singleton infants aged 0–5 months. Delayed initiation of breastfeeding and non-exclusive breastfeeding was used as outcome variables in this study. Unadjusted and adjusted multivariable binary logistic regression was performed to analyse the association of delayed breastfeeding and non-exclusive breastfeeding with selected background characteristics. Results: Factors significantly associated with increased risks of delayed initiation of breastfeeding included infants from in the central region (OR 2.19; 95% CI 2.09, 2.29), mothers in the 20 to 29 years age group at the time of childbirth (OR 1.02; 95% CI 0.98, 1.05), caesarean deliveries (OR 1.97; 95% CI 1.90, 2.05). The likelihoods for non-exclusive breastfeeding significantly increased among children belonging to the richest household status (OR 1.30; 95% CI 1.17, 1.45), mothers who had less than nine months of pregnancy period (OR 1.15; 95% CI 1.06, 1.25), and mothers who gave birth in non-health facility (OR 1.17; 95% CI 1.05, 1.31). Conclusions: The connections between several different categories of factors and non-exclusive breastfeeding and delayed breastfeeding initiation show the need for comprehensive public health programmes using a multi-sectoral approach to promote breastfeeding behaviours in India. [ABSTRACT FROM AUTHOR]

The Jagpura Au-Cu deposit is situated within the Aravalli craton in the northwestern part of India. In the present work, petrography, mineral chemistry, fluid inclusion and sulfur isotopic compositions were used to study the Jagpura Au-Cu deposit. The ore mineral association of the deposit is arsenopyrite, loellingite, chalcopyrite, pyrrhotite and pyrite, along with native gold, magnetite and apatite. The gold fineness ranges from 914–937‰ (avg. 927‰). The presence of Au-Bi-Te phases, pyrite (>1 Co/Ni ratio), magnetite (≥1 Ni/Cr ratio, <1 Co/Ni ratio) and apatite (>1 F/Cl ratio) suggest the hydrothermal origin Au-Cu mineralization. A fluid inclusion study indicates the different episodes of fluid immiscibility with the homogenization temperatures varying between 120–258 °C and salinities range within the 8.86–28.15 wt% NaCl eq. The sulfur isotopic composition of sulfides varies from 8.98 to 14.58‰ (avg. 11.16‰). It is inferred that the variation in the sulfur isotopic compositions of sulfides is due to the cooling and dilution of the metalliferous fluid of mixed origin, derived from the basement meta-sedimentary rocks and the high saline basinal fluid. The iron oxide-copper-gold-apatite associations, structural control of mineralization, pervasive hydrothermal alteration, fluid salinity and sulfur isotope compositions indicate that the Jagpura Au-Cu deposit is similar to the iron oxide-copper-gold (IOCG)-iron oxide-apatite (IOA)types of deposits. Based on the ore geochemistry and the trace elements systematic of magnetite, the deposit is further classified as an IOCG-IOA type: IOCG-Co (reduced) subtype. [ABSTRACT FROM AUTHOR]

Researchers have long been concerned about the association between depression and the prevalence of multiple chronic diseases or multimorbidity in older persons. However, the underlying pathway or mechanism in the multimorbidity-depression relationship is still unknown. Data were extracted from a baseline survey of the Longitudinal Ageing Survey of India (LASI) conducted during 2017–18 (N = 31,464; aged ≥ 60 years). Depression was assessed using the 10-item Centre for Epidemiological Studies Depression Scale (CES-D-10). Multivariable logistic regression was used to examine the association. The Karlson–Holm–Breen (KHB) method was adopted for mediation analysis. The prevalence of depression among older adults was nearly 29% (men: 26% and women 31%). Unadjusted and adjusted estimates in binary logistic regression models suggested an association between multimorbidity and depression (UOR = 1.28; 95% CIs 1.27–1.44 and AOR = 1.12; 95% CIs 1.12–1.45). The association was particularly slightly strong in the older men. In addition, the association was mediated by functional health such as Self Rated Health (SRH) (proportion mediated: 40%), poor sleep (35.15%), IADL disability (22.65%), ADL disability (21.49%), pain (7.92%) and by behavioral health such as physical inactivity (2.28%). However, the mediating proportion was higher among older women as compared to older men. Physical inactivity was not found to be significant mediator for older women. The findings of this population-based study revealed that older people with multimorbidity are more likely to suffer depressive symptoms in older ages, suggesting the need for more chronic disease management and research. Multimorbidity and depression may be mediated by certain functional health factors, especially in older women. Further longitudinal research is needed to better understand the underlying mechanisms of this association so that future preventive initiatives may be properly guided. [ABSTRACT FROM AUTHOR]

In this study, a sensitivity analysis on a VECTRI dynamical model of malaria transmission is investigated to determine the relative importance of model parameters to disease transmission and prevalence. Apart from being most climatic prone, Odisha is a highly endemic state for malaria in India. The lack in sufficient modeling studies severely impacts the malarial process studies which further hinder the possibility of malaria early warning systems and preventive measures to be undertaken beforehand. Therefore, modeling studies and investigating the relationship between malaria transmission process studies and associated climatic factors are the need of the hour. Environmental conditions have pronounced effects on the malaria transmission dynamics and abundance of the poikilothermic vectors, but the exact relationship of sensitivity for these parameters is not well established. Sensitivity analysis is a useful tool for ascertaining model responses to different input variables. Therefore, in order to perform the requisite study, a dynamical model, VECTRI, is utilized. The study period ranges from 2000 to 2013, where several sensitivity tests are performed using different model parameters such as infiltration and evaporation rate loss of ponds, degree-days for parasite development, threshold temperature for parasite development, threshold temperature for egg development in the vector, and maximum and minimum temperature for larvae survival. The experiments suggest that the lower value of minimum temperature for larvae survival (rlarv_tmin), i.e., 16 °C, provides higher vector density and entomological inoculation rate (EIR) values. EIR reaches its maximum, when the threshold temperature for parasite development (rtsporo) is 22 °C and degree-days for parasite development (dsporo) is 8 degree-days. No change is observed in the vector density; even when rtsporo is 30 °C, values of EIR are close to 0. A successive increment of infiltration and evaporation rate loss of ponds (rwaterfrac evap126) values from 130 to 200 mm/day result in approximately 5% consistent decline in vector density and EIR. The study concludes that the most sensitive parameters are dsporo, rlarv_tmin, and rwaterfrac evap126. The VECTRI model is rather insensitive to maximum temperature for larvae survival (rlarv_tmin) for vector density and EIR variables. Further certain modifications and improvements are required in VECTRI to predict out variables like vector density and EIR more accurately in highly endemic region. [ABSTRACT FROM AUTHOR]

Abstract Effects of increase in horizontal resolution (from 2°, to 1° and 0.5°) in simulating Indian summer monsoon (ISM) in Community Atmosphere Model version 5 (CAM5) are reported herein. Various parameters — temperature, rainfall, winds, surface evaporation, precipitable water, specific humidity, and clouds — of the model simulations are examined with respect to observations {India Meteorological Department (IMD) and Tropical Rainfall Measuring Mission (TRMM) data for precipitation and Modern-Era Retrospective analysis for Research and Applications (MERRA) products for rest of the variables}. With increase in horizontal resolution overall improvement in majority of surface driven parameters like surface air temperature, surface specific humidity, and low-level winds is observed that highlights the importance of better representation of orography. Over the Indian subcontinent and surrounding oceans, rainfall is overestimated due to the overestimation of the large-scale precipitation in the model, which significantly gets alleviated with increase in resolution. Overall, seasonal mean features of ISM show significant improvements, which are likely to further improve by representing finer spatial features with increase in resolution. However, some aspects of its temporal variations — seasonal, intraseasonal, and diurnal variations — of monsoon rainfall do not show much improvement with increase in resolution, suggesting that traditional physics parameterizations do not work well at high resolution and hence there is a need for improvement in model physics. [ABSTRACT FROM AUTHOR]

The influence of surface topography resolution in Indian summer monsoon simulation is investigated. Three sets of six-member ensemble simulations with climatological sea surface temperature are conducted with the Community Atmospheric Model, version 5.1 (CAM5.1):COARSEsimulation at 1.9832.58 latitude- longitude resolution, FINE simulation at 0.478 3 0.638 resolution, and HYBRID simulation, that is, using COARSE surface topography imposed on the FINE configuration. With regard to the representation of the surface topography, substantial differences occur at the regional scales between the simulations, especially over the foothills and steep flanks of the mountains. In the COARSE and HYBRID simulations, the orographic height of the foothills is overestimated whereas that of the steep flanks adjacent to the foothills is underestimated. The biases are severe (up to 1 km) over the Himalayas and Tibet and have detrimental effects on regional climate through barrier effects on the low-level flow, and the lapse rate and elevated heat source effects. Overall, the simulations show remarkable improvement with an increase in resolution, mainly because of the improved representation of atmospheric and surface processes. However, local climate - surface air temperature, sea level pressure, precipitable water, and wind - of the orographic regions, particularly where large orographic biases exist in COARSE, is found to benefit substantially from increased resolution of surface topography. Local precipitation and evaporation are exceptions, although, as they are negligibly sensitive to topographic resolution, showing strong dependence on the resolution of surface and atmospheric processes. Moreover, resolution of surface topography generally does not have notable remote impacts. [ABSTRACT FROM AUTHOR]

Using reanalysis data and observations, interannual variations and long-term trends in the Somali Jet (hereafter, the Jet) and Indian Summer Monsoon Rainfall (ISMR) are characterized for drought vs flood, El Niño vs La Niña, and positive vs negative Indian Ocean Dipole (IOD) summer monsoon seasons. In flood years, the Jet is stronger over the upstream sector (i.e., Arabian Sea) and weaker over the downstream (i.e., Bay of Bengal), resulting in additional convergence and enhanced moisture transport over India, whereas the reverse occurs during drought years. The Jet and ISMR characteristics for El Niño (La Niña) years are similar to drought (flood) years, despite only around half of dry (wet) years, being associated with El Niño (La Niña). In +IOD years, the Jet shifts northward and intensifies over central and northern India, bringing more moisture and rainfall to those regions, while the −IOD has an opposite but relatively weak impact on ISMR. Over the last century, the Jet has become weaker over peninsular India, with reductions in rainfall across east India. Future projections under the SSP585 scenario from the CMIP6 multi-model mean suggest that the Jet will progressively shift northward and strengthen over the Arabian Sea, with associated rainfall increases over entire Indian region. The long-term changes in the Jet over the twentieth century are of comparable magnitude to interannual variations; however, the absolute magnitude of projected future changes is smaller than interannual variations observed in the past. [ABSTRACT FROM AUTHOR]

The fintech segment is currently one of the most rapidly growing industries, attracting numerous investors who anticipate substantial returns in the future. Notably, not only individual retail investors but also mutual fund agencies are actively engaged in predicting stock prices within this sector to maximize their trading gains. The purpose of the study is to formulate stock forecasting models for top three Fintech Companies of India i.e., Policy Bazar, One 97 Communications Paytm Ltd., and Niyogin Ltd. Using Random Forest model with high-frequency data in Python. The literature review section also proves that this study is a novel piece of work as none of the existing research study focused on predicting stock prices of Fintech Companies of India using Random Forest model. The data is extracted from www.moneycontrol.com and www.kotaksecurities.com, for the period from 1st October, 2022–30 th September, 2023. The study deals about 293,280 data points i.e., 3 companies @ 97,760 each. It has been found that the forecasting model of random forest provides very successful results for prediction as the co-efficient of determination of all the selected companies is more than 95%. [ABSTRACT FROM AUTHOR]

Background: Bone marrow involvement by solid tumor implicates advanced disease and dismal prognosis. Bone marrow aspiration and biopsy are routinely performed as staging workup for certain small round cell tumors and also for unexplained cytopenia in other solid tumors. It is important to rule out bone marrow involvement before planning for curative treatment. Materials and Methods: This was a retrospective observational study. The aim of our study was to evaluate the pattern of bone marrow involvement by different solid tumors and their correlation with the hematological abnormalities. We retrospectively evaluated bone marrow aspirations and biopsy performed in past 3 years. Results: At our institution, bone marrow examinations were performed in 440 patients during past 3 years for solid malignancies. Out of 440, 206 were pediatric cases and 234 were adult cases. Bone marrow was involved in 56 (12.7%) patients. Among the pediatric cases, bone marrow involvement was present in 30 (12.8%) cases, and in adult cases, bone marrow was involved was in 26 (11.1%) cases. Neuroblastoma (40%) was the most common malignancy, which involved the bone marrow among pediatric cases, followed by retinoblastoma (26.6%) and Ewing's sarcoma (20%). Among adult patients, neuroendocrine carcinoma (23%) was at the top of the list of tumors involving bone marrow, which is followed by Ewing's sarcoma (19.2%) and nasopharyngeal carcinoma (11.5%). Conclusion: Neuroblastoma and neuroendocrine carcinoma are the major cause of bone marrow involvement among the solid malignancies in pediatric and adult population, respectively. Use of immunohistochemistry markers on bone marrow biopsies may result in higher detection rate. [ABSTRACT FROM AUTHOR]

Background: Bone marrow involvement by solid tumor implicates advanced disease and dismal prognosis. Bone marrow aspiration and biopsy are routinely performed as staging workup for certain small round cell tumors and also for unexplained cytopenia in other solid tumors. It is important to rule out bone marrow involvement before planning for curative treatment. Materials and Methods: This was a retrospective observational study. The aim of our study was to evaluate the pattern of bone marrow involvement by different solid tumors and their correlation with the hematological abnormalities. We retrospectively evaluated bone marrow aspirations and biopsy performed in past 3 years. Results: At our institution, bone marrow examinations were performed in 440 patients during past 3 years for solid malignancies. Out of 440, 206 were pediatric cases and 234 were adult cases. Bone marrow was involved in 56 (12.7%) patients. Among the pediatric cases, bone marrow involvement was present in 30 (12.8%) cases, and in adult cases, bone marrow was involved was in 26 (11.1%) cases. Neuroblastoma (40%) was the most common malignancy, which involved the bone marrow among pediatric cases, followed by retinoblastoma (26.6%) and Ewing’s sarcoma (20%). Among adult patients, neuroendocrine carcinoma (23%) was at the top of the list of tumors involving bone marrow, which is followed by Ewing’s sarcoma (19.2%) and nasopharyngeal carcinoma (11.5%). Conclusion: Neuroblastoma and neuroendocrine carcinoma are the major cause of bone marrow involvement among the solid malignancies in pediatric and adult population, respectively. Use of immunohistochemistry markers on bone marrow biopsies may result in higher detection rate. [ABSTRACT FROM AUTHOR]