Unglittering Gold Schemes in India
Ontology highlight
ABSTRACT:
SUBMITTER: Kumar A
PROVIDER: S-EPMC8319594 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND: High-throughput biological experiments can produce a large amount of data showing little overlap with current knowledge. This may be a problem when evaluating alternative scoring mechanisms for such data according to a gold standard dataset because standard statistical tests may not be appropriate. FINDINGS: To address this problem we have implemented the QiSampler tool that uses a repetitive sampling strategy to evaluate several scoring schemes or experimental parameters for any type of high-throughput data given a gold standard. We provide two example applications of the tool: selection of the best scoring scheme for a high-throughput protein-protein interaction dataset by comparison to a dataset derived from the literature, and evaluation of functional enrichment in a set of tumour-related differentially expressed genes from a thyroid microarray dataset. CONCLUSIONS: QiSampler is implemented as an open source R script and a web server, which can be accessed at http://cbdm.mdc-berlin.de/tools/sampler/.
| S-EPMC3060832 | biostudies-literature
Project description:Several publicly financed health insurance schemes have been launched in India with the aim of providing universalizing health coverage (UHC). In this paper, we report the impact of publicly financed health insurance schemes on health service utilization, out-of-pocket (OOP) expenditure, financial risk protection and health status. Empirical research studies focussing on the impact or evaluation of publicly financed health insurance schemes in India were searched on PubMed, Google scholar, Ovid, Scopus, Embase and relevant websites. The studies were selected based on two stage screening PRISMA guidelines in which two researchers independently assessed the suitability and quality of the studies. The studies included in the review were divided into two groups i.e., with and without a comparison group. To assess the impact on utilization, OOP expenditure and health indicators, only the studies with a comparison group were reviewed. Out of 1265 articles screened after initial search, 43 studies were found eligible and reviewed in full text, finally yielding 14 studies which had a comparator group in their evaluation design. All the studies (n-7) focussing on utilization showed a positive effect in terms of increase in the consumption of health services with introduction of health insurance. About 70% studies (n-5) studies with a strong design and assessing financial risk protection showed no impact in reduction of OOP expenditures, while remaining 30% of evaluations (n-2), which particularly evaluated state sponsored health insurance schemes, reported a decline in OOP expenditure among the enrolled households. One study which evaluated impact on health outcome showed reduction in mortality among enrolled as compared to non-enrolled households, from conditions covered by the insurance scheme. While utilization of healthcare did improve among those enrolled in the scheme, there is no clear evidence yet to suggest that these have resulted in reduced OOP expenditures or higher financial risk protection.
| S-EPMC5289511 | biostudies-literature
Project description:This paper examines the relationship between gold and silver returns in India, using monthly data for the period May 1991 to June 2018. To this end, we employ the recently developed frequency domain rolling-window analysis (which is able to show that transitory high frequency shocks are not equal to permanent low frequency shocks over time), as well as the conditional, partial conditional, difference conditional approaches, in addition to the Toda Yamamoto and frequency domain Granger Causalities methods. Further, the relationship is examined in conditional and unconditional frameworks. To condition the relationship, three macroeconomic variables, namely interest rate, BSE stock index and inflation rate are used as the control variables. The results uncover some interesting predictability patterns that vary along the spectrum. Specifically, by applying the rolling-window analysis, we find mixed results of the causality between the gold and silver markets based on the frequencies of different lengths. Our results provide policy inputs, assist investors and hedgers who wish to invest in these markets by constructing strategies and diversify their portfolios based on different frequencies. Highlights • Impact of macroeconomic factors on frequency domain causality between Gold and Silver returns is examined.• The results uncover some interesting predictability patterns that vary along the spectrum.• We find a significant bi-directional causality between the gold and silver markets in both the high and low frequencies but of different lengths.
| S-EPMC7326452 | biostudies-literature
Project description:In Asia, oral cancer (OC) and oral submucous fibrosis (OSF) constitute major health problems linked to use of betel quid. This work performed CGH genome-wide analysis of OC (12 from India, 12 from Sri Lanka) and OSF (6 from India) cases with normal controls.
2011-11-30 | E-MTAB-819 | biostudies-arrayexpress
Project description:OBJECTIVE:Despite provision of accreditation of private sector health providers in government-led schemes for maternity services in India, their participation has been low. This has led to an underutilisation of their presence, resources and expertise for providing quality maternal and newborn health services. This study explores the perception of various stakeholders on expectations, benefits, barriers and facilitators to private sector participation in government-led schemes-specifically Janani Suraksha Yojana (JSY)-for maternity service delivery. DESIGN:Narrative-based qualitative study. Face-to-face in-depth interviews were conducted with study participants. The interviews were transcribed, translated and analysed using a reflexive and inductive approach to allow codes, categories and themes to emerge from within the data. SETTING:Private obstetricians, government health officials and FOGSI (Federation of Obstetrics and Gynaecological Societies of India) members, Jharkhand and Uttar Pradesh, India. PARTICIPANTS:Eighteen purposefully selected private obstetricians from 9 cities across states of Uttar Pradesh and Jharkhand, 11 government health officials and 2 FOGSI members. RESULTS:The major factors serving as barriers to participation of private practitioners in JSY-which emerged on thematic analysis-were low reimbursement amounts, delayed reimbursements, process of interaction with the government and administrative issues, previous experiences and trust deficit, lack of clarity on the accreditation process and patient-level barriers. On the other hand, factors which were facilitators to participation of private practitioners were ease of process, better communication, branding, motivation of increasing clientele as well as satisfaction of doing social service. CONCLUSION:Factors such as financial processes and administrative delays, mistrust between the stakeholders, ambiguity in processes, lack of transparency and lack of ease in the process of empanelment of private sector are hindering effective public-private partnerships under JSY. Simplifying and strengthening the processes, communication strategies and branding can help revitalise it.
| S-EPMC5541501 | biostudies-literature
Project description:BackgroundGovernment-sponsored health insurance schemes (GSHIS) aim to improve access to and utilization of healthcare services and offer financial protection to the population. India's Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY) is one such GSHIS. This paper aims to understand how the processes put in place to manage hospital-based transactions, from the time a beneficiary arrives at the hospital to discharge are being implemented in PM-JAY and how to improve them to strengthen the scheme's operation.MethodsGuidelines were reviewed for the processes associated with hospital-based transactions, namely, beneficiary authentication, treatment package selection, preauthorization, discharge, and claims payments. Across 14 hospitals in Gujarat and Madhya Pradesh states, the above-mentioned processes were observed, and using a semi-structured interview guide fifty-three respondents were interviewed. The study was carried out from March 2019 to August 2019.ResultsAverage turn-around time for claim reimbursement is two to six times higher than that proposed in guidelines and tender. As opposed to the guidelines, beneficiaries are incurring out-of-pocket expenditure while availing healthcare services. The training provided to the front-line workers is software-centric. Hospital-based processes are relatively more efficient in hospitals where frontline workers have a medical/paramedical/managerial background.ConclusionsThere is a need to broaden capacity-building efforts from enabling frontline staff to operate the scheme's IT platform to developing the technical, managerial, and leadership skills required for them. At the hospital level, an empowered frontline worker is the key to efficient hospital-based processes. There is a need to streamline back-end processes to eliminate the causes for delay in the processing of claim payment requests. For policymakers, the most important and urgent need is to reduce out-of-pocket expenses. To that end, there is a need to both revisit and streamline the existing guidelines and ensure adherence to the guidelines.
| S-EPMC8760668 | biostudies-literature
Project description:Evidence for geomycological gold redox transformation under supergene conditions
| PRJEB24170 | ENA
Project description:When inferring phylogenies, one important decision is whether and how nucleotide substitution parameters should be shared across different subsets or partitions of the data. One sort of partitioning error occurs when heterogeneous subsets are mistakenly lumped together and treated as if they share parameter values. The opposite kind of error is mistakenly treating homogeneous subsets as if they result from distinct sets of parameters. Lumping and splitting errors are not equally bad. Lumping errors can yield parameter estimates that do not accurately reflect any of the subsets that were combined whereas splitting errors yield estimates that did not benefit from sharing information across partitions. Phylogenetic partitioning decisions are often made by applying information criteria such as the Akaike information criterion (AIC). As with other information criteria, the AIC evaluates a model or partition scheme by combining the maximum log-likelihood value with a penalty that depends on the number of parameters being estimated. For the purpose of selecting an optimal partitioning scheme, we derive an adjustment to the AIC that we refer to as the AIC$^{(p)}$ and that is motivated by the idea that splitting errors are less serious than lumping errors. We also introduce a similar adjustment to the Bayesian information criterion (BIC) that we refer to as the BIC$^{(p)}$. Via simulation and empirical data analysis, we contrast AIC and BIC behavior to our suggested adjustments. We discuss these results and also emphasize why we expect the probability of lumping errors with the AIC$^{(p)}$ and the BIC$^{(p)}$ to be relatively robust to model parameterization.
| S-EPMC6005138 | biostudies-literature
Project description:Cells receive a wide variety of cellular and environmental signals, which are often processed combinatorially to generate specific genetic responses. Here we explore theoretically the potentials and limitations of combinatorial signal integration at the level of cis-regulatory transcription control. Our analysis suggests that many complex transcription-control functions of the type encountered in higher eukaryotes are already implementable within the much simpler bacterial transcription system. Using a quantitative model of bacterial transcription and invoking only specific protein-DNA interaction and weak glue-like interaction between regulatory proteins, we show explicit schemes to implement regulatory logic functions of increasing complexity by appropriately selecting the strengths and arranging the relative positions of the relevant protein-binding DNA sequences in the cis-regulatory region. The architectures that emerge are naturally modular and evolvable. Our results suggest that the transcription regulatory apparatus is a "programmable" computing machine, belonging formally to the class of Boltzmann machines. Crucial to our results is the ability to regulate gene expression at a distance. In bacteria, this can be achieved for isolated genes via DNA looping controlled by the dimerization of DNA-bound proteins. However, if adopted extensively in the genome, long-distance interaction can cause unintentional intergenic cross talk, a detrimental side effect difficult to overcome by the known bacterial transcription-regulation systems. This may be a key factor limiting the genome-wide adoption of complex transcription control in bacteria. Implications of our findings for combinatorial transcription control in eukaryotes are discussed.
| S-EPMC404558 | biostudies-literature
Project description:MotivationTechnological advancements in high-throughput DNA sequencing have led to an exponential growth of sequencing data being produced and stored as a byproduct of biomedical research. Despite its public availability, a majority of this data remains hard to query for the research community due to a lack of efficient data representation and indexing solutions. One of the available techniques to represent read data is a condensed form as an assembly graph. Such a representation contains all sequence information but does not store contextual information and metadata.ResultsWe present two new approaches for a compressed representation of a graph coloring: a lossless compression scheme based on a novel application of wavelet tries as well as a highly accurate lossy compression based on a set of Bloom filters. Both strategies retain a coloring even when adding to the underlying graph topology. We present construction and merge procedures for both methods and evaluate their performance on a wide range of different datasets. By dropping the requirement of a fully lossless compression and using the topological information of the underlying graph, we can reduce memory requirements by up to three orders of magnitude. Representing individual colors as independently stored modules, our approaches can be efficiently parallelized and provide strategies for dynamic use. These properties allow for an easy upscaling to the problem sizes common to the biomedical domain.Availability and implementationWe provide prototype implementations in C++, summaries of our experiments as well as links to all datasets publicly at https://github.com/ratschlab/graph_annotation.Supplementary informationSupplementary data are available at Bioinformatics online.
| S-EPMC6530811 | biostudies-literature