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Public expenditure for the improvement of maternal health is crucial in addressing the major social and demographic challenges in developing countries like India. Accordingly, the Government of India initiated the Janani Suraksha Yojana (JSY) in 2005 as a flagship conditional cash transfer scheme to encourage institutional delivery in the country. While the provisions under the JSY remain uniform throughout the country, there are apprehensions that the impact would differ across the states as well as between the rural and urban setups depending on varied socio-economic conditions and local level dynamics.

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Artificial intelligence technology has demonstrated remarkable diagnostic efficacy in modern biomedical image analysis. However, the practical application of artificial intelligence is significantly limited by the presence of similar pathologies among different diseases and the diversity of pathologies within the same disease. To address this issue, this paper proposes a reinforced collaborative-competitive representation classification (RCCRC) method.

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Plant breeding needs to embrace genetic innovations to ensure stability in crop yields under fluctuating climatic conditions. Development of commercial hybrid varieties has proven to be a sustainable and economical alternative to deliver superior yield, quality and resistance with uniformity in a number of food crops. Cytoplasmic male sterility (CMS), a maternally inherited inability to produce functional pollen, facilitates a three-line system for efficient hybrid seed production strategies in crops.

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[New methods at the transition from research to routine diagnostics].

Pathologie (Heidelb)

January 2025

Institut für Pathologie, Fachbereich Thorax- und Molekularpathologie, Universitätsmedizin Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Deutschland.

Background: Pathology, traditionally focused on classification and diagnosis, is continuously evolving through new technologies. Advances in proteomics, epigenetics, tissue staining, and 3D imaging expand the possibilities of classical morphology.

Aim Of The Study: The aim of this study was to investigate how modern technologies can improve diagnostic accuracy and therapy selection and how they can be integrated into pathologic routine diagnostics.

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Purpose: This study analyzed longitudinal data to examine whether occupational sitting time is associated with increases in body mass index (BMI) and five-year cardiovascular disease (CVD) risk.

Methods: We included 2,000 employed men and women (aged 31-60) from the German Study on Mental Health at Work (S-MGA) for a BMI analysis and 1,635 participants free of CVD at baseline (2011/2012) for a CVD analysis. Occupational sitting time was categorized into five groups (< 5, 5 to < 15, 15 to < 25, 25 to < 35, and ≥ 35 h per week).

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