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A system (100) for electronic commerce product verification comprising a production company server (101), plurality of database servers (102), (103), (104), internet (105), user device (106); a unique code generation system (210); an image database (317), a control system (318), a camera (319). The unique code generation system (210) generates a code of each product having the configuration includes each retailer number, a place number, or other binomial combinations.</text>
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A method for generating a unique identifier and system for verifying comprising card holder (201) ; merchant (202); credit card issuer (203); account identifier number (204); goods/services (205); authorization (206); wherein smart card (100) comprising a display (101) in communication with the central processor, memory (102) in communication with the central processor, keyboard (103) in communication with the central processor, biometric interface (104), central processor (105).</text>
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                <text>Blockchain technology applied to circular economy has a world-changing potential to increase transparency, traceability, and the sustainability of the resources management. With the shift towards regenerative industries, it is of the essence to have the capacity to track the lifecycle of used products, used materials, and waste securely. A new method (Circular Blockchain-Resource Lifecycle Management (CB-RLM) algorithm) is proposed in this work that is supposed to maximize the monitoring and incentivization resource flow in the context of decentralized systems. Using a blockchain as a platform allows conducting real-time monitoring of materials backtracking, and the proposed approach will provide a way of materials following all stages of production, consumption, reuse, and recycling. The algorithm combines the information presented by the means of the IoT-enabled devices to guarantee permanent verification of product statuses and ownership, whereas smart contracts automatically sanction the policy compliance of reuse and returns. The system also creates digital tokens as rewards to sustainable behavior during processes, which gives the stakeholders incentive to engage in the circular economy. The mechanism will not only facilitate resource efficiency and accountability but it will promote trust among the members of the supply chain. The suggested CB-RLM algorithm also has the potential to solve such key design problems as data integrity, stakeholder cooperation and lifecycle openness, thus paving the way to the creation of scalable and smart circular systems. This model brings a more environmentally responsible and resilient industrial ecosystem by means of decentralized enforcement and automated incentives. The suggested CB-RLM technique achieves an overall accuracy of 99.4%.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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                <text>Tiwari, Arpit; Chakravorthy, Soumi; Nanjundan, Preethi; Ranjan Kumar, Ravi; Karmakar, Ananya; Bishoyi Ratna, Satyaban</text>
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                <text>Multi-dimensional changes in drought patterns across India</text>
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                <text>Climatic Change;Volume;179;Issue;1;Article No.;11;</text>
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                <text>Tiwari A., Christ University, Pune, Lavasa, 412112, India, India Meteorological Department, Pune, Shivajinagar, 411005, India; Chakravorthy S., India Meteorological Department, Pune, Shivajinagar, 411005, India; Nanjundan P., Christ University, Pune, Lavasa, 412112, India; Ranjan Kumar R., India Meteorological Department, Pune, Shivajinagar, 411005, India; Karmakar A., India Meteorological Department, Pune, Shivajinagar, 411005, India; Bishoyi Ratna S., India Meteorological Department, Pune, Shivajinagar, 411005, India</text>
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                <text>Indias hydroclimatic systems are undergoing unprecedented transitions in a warming climate, marked by shifts in temperature extremes, altered precipitation patterns, and increasing drought risk. This study presents a comprehensive assessment of drought trends and hydroclimatic variability across six major geographical zonesWestern, Central, Himalayan, Indo-Gangetic Plain (IGP), Peninsular, and Northeast Indiaduring the period 1971 to 2020. Using a set of advanced climate change metricsStandardized Local Anomalies (SLA), Novel Climate Scores (NCS), and changes in probability of local climate extremes alongside the Standardized Precipitation Evapotranspiration Index (SPEI), we quantify changes in drought conditions and the emergence of non-analogue climates. Changes in climatic extreme are computed using high-resolution daily gridded temperature and rainfall datasets, comparing recent decades against a 19511980 baseline. SLA quantifies deviations from historical variability, highlighting intensified warming over the Indo-Gangetic Plain, western India, and the southern peninsula. NCS reveales the emergence of novel climatescombinations of temperature and precipitation conditions not previously observed, particularly in Southeast India and the Himalayan region. The probability of local climate extremes shows a substantial increase in extreme events across India indicating enhanced climate volatility. These metrics are then integrated with drought analysis using SPEI to incorporate both precipitation and temperature-driven evaporative demand. SPEI trends indicate increasing dryness in Northeast India, the Himalayas, and the Indo-Gangetic Plain, linked to declining monsoonal rainfall and rising temperatures. Meanwhile, Western and Peninsular regions show wetting trends, driven by increased rainfall and convective precipitation events. The rainfall is the dominant drought driver during the monsoon, while high maximum temperatures intensify drought conditions in pre- and post-monsoon seasons by enhancing evaporative demand. Minimum temperature exhibits regional effects, showing a drying influence in the IGP and Himalayas, but a slight moistening signal in Peninsular India. By combining drought indices with climatic extremes metrics, this study offers a comprehensive framework to monitor hydroclimatic shifts and their regional impacts. The findings underscore the need for region-specific adaptation strategies that incorporate early warning systems, sustainable water management, and climate-resilient agriculture to address Indias evolving drought risks.  The Author(s), under exclusive licence to Springer Nature B.V. 2025.</text>
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