Sbr - PowerPoint PPT Presentation


Scale Based Regulation 2023 - Non-Banking Financial Company (NBFCs)

On October 19, 2023, the Reserve Bank of India (\u201cRBI\u201d) has issued \u2018Master Direction \u2013 Reserve Bank of India (Non-Banking Financial Company \u2013 Scale Based Regulation) Directions 2023\u2019 (\u2018SBR Master Direction\u2019). The SBR Master Direction aims to harmonize the Previ

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Meticulous Research Forecasts Synthetic Rubber Market to Reach $42.3 Billion by 2031

Synthetic Rubber Market Size, Share, Forecast, & Trends Analysis by Type (SBR, EPDM, BR, SBC, IIR, NBR, IR, CR), Application (Tires, Textiles & Apparel, Electronic, Packaging), Industry (Construction, Automotive, Industrial) - Global Forecast to 2031

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Synthetic Rubber Market to Exceed $42.3 Billion by 2031

Synthetic rubber, including artificial rubber, polymer rubber, and chemically-produced rubber, utilizes petroleum byproducts as raw materials. Key components such as Styrene Butadiene Rubber (SBR) and Polybutadiene Rubber (BR) play vital roles in thi

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Understanding Quality Dimensions in Statistical Business Registers

Quality in statistical business registers encompasses dimensions such as relevance, accuracy, timeliness, accessibility, comparability, and coherence. The United Nations provides guidance on quality frameworks for official statistics, emphasizing the importance of tailoring quality assurance policie

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Research on Producing Bio-Composite Materials from Wastewater Using Filamentous Bacteria and Polyhydroxyalkanoates

This project conducted at the University of Delaware aimed to evaluate the potential of using filamentous wastewater microorganisms as reinforcement and polyhydroxyalkanoates (PHA)-accumulating microorganisms as a biorenewable matrix for bio-composite materials. Filamentous bacteria were analyzed fo

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Enhancing Session-Based Recommendation with Local Invariance Model

Introducing local invariance to Session-Based Recommendation (SBR), the proposed model considers both detailed ordering and high-level session ordering. By explicitly capturing local context information and global sequential patterns, the model outperforms existing methods in predicting the next use

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