Ram Karan Singh

Phytochemical Mediated Green Synthesis of Montmorillonite Nanoclay using Aloe vera Extract: A Sustainable Approach to Nanomaterial Engineering

Amit K. Bera, Virendra Singh Rana, Ram Karan Singh, Tapan Kumar Mandal et autres

In this study, a phytochemical-mediated green synthesis approach was adopted to fabricate Aloe vera-modified montmorillonite nanoclay under mild aqueous conditions. The investigation focused on the ability of naturally occurring phytochemicals, namely polysaccharides, phenolic compounds and flavonoids, to function as surface-functionalising, dispersing, stabilising …

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From Disposal to Circular Solutions: A Bibliometric Review of Global E-Waste Research Patterns

Virendra Singh Rana, Puneet Kumar Gupta, Ram Karan Singh

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Soft Computing Based Machine Learning Models for Predicting Swell Strength of Nanoclay Stabilized Soils

Amit Kumar Bera, Ram Karan Singh, Tapan Kumar Mandal

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Machine Learning-Enhanced Fuzzy AHP-TOPSIS Methodology for Renewable Energy Prioritisation: an Application

Virendra Singh Rana, Nishant Mathur, Sanjeev Kumar, Ram Karan Singh et autres

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related …

The Impact of Climate Change on Geographical Indications: Ensuring Authenticity in Shifting Climates

Aditya Kumar Tomar, Razit Sharma, Ram Karan Singh

Climate change poses unprecedented threats to Geographical Indications (GIs) legally protected designations identifying products as originating from specific regions with distinctive characteristics. This study examines how climate variability impacts GI product quality, yield, and market viability through systematic analysis of six GI-registered …

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Worldwide Distribution and Management of Fall Armyworm: A Review

S. K. Malik, Ram Karan Singh, Rakesh Kumar, Vikas Chauhan

The fall armyworm (Spodoptera frugiperda), a significant global agricultural pest, poses a substantial threat to maize and other crops, leading to drastic yield losses. Initially identified in Africa, it has since invaded several regions, including sub-Saharan Africa and Asia, impacting many plant …

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An Unexpected Beneficial Role of PDGF Signaling in Pulmonary Fibrosis

Matthias Christian Kugler, Ting-An Yie, Mykaela L. Chang, Valeria Mezzano et autres

Abstract Rationale: PDGF regulates mesenchymal differentiation and proliferation in developing lung, and upon injury. Aberrant PDGF signaling is implicated in idiopathic pulmonary fibrosis (IPF). However, while in preclinical fibrosis models inhibition of PDGF signaling with Imatinib decreased lung fibrosis, the same treatment …

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Pervasive Presence of Detectable Pathogens in the Lung Lower Airway Microbiome Correlates With Ventilator-associated Pneumonia Microbiologic Diagnosis for Species-specific Pathogens

Sara E. Rasmussen, Christine J. Chung, Y. Kyeremateng, Kwok‐Kin Wong et autres

Abstract RATIONALEVentilator-associated pneumonia (VAP) is an avoidable occurrence in critically ill patients. VAP diagnosis is clinical and does not require identification of a pathogen in culture. We hypothesized that the lower airway microbiome would correlate with clinical sputum cultures in a cohort …

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Assessment of Evapotranspiration, Water Productivity and Yield Response Factor for Groundnut under Deficit Irrigation Using Lysimeter in a Hot Arid Ecosystem

Hari Mohan Meena, Ram Karan Singh, Priyabrata Santra, Deepesh Machiwal

In this study, we focused on precise determination of actual crop evapotranspiration (ETc) of groundnut in an arid region of India using single load cell-based mini-lysimeters. This study, for the first time, integrated two water saving techniques, i.e., pressurized irrigation system through …

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Greening the Future: Leveraging Fintech for Sustainable Blue Economy Investments

Ram Karan Singh, Fazla Rabby, Ashutosh Rath Sharma, Jyotirmoy Banerjee et autres

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Renewable Energy Prediction Using Fuzzy-MCDM and Machine Learning Techniques: A Sustainable Approach

Virendra Singh Rana, Ram Karan Singh, Nishant Mathur

Sustainable Development Goal 7 is essential to solve the global energy crisis as it seeks to offer affordable and clean energy. This study proposes a novel hybrid prediction model for Renewable Energy selection that integrates the Machine Learning (ML) technique with the …

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Harnessing mass media for agricultural advancement of hill farmers in Meghalaya

M. Shanmukh Raju, Loukham Devarani, RJ Singh, Ram Karan Singh et autres

Agricultural information dissemination through mass media is crucial for the development and transfer of agricultural technologies, particularly in regions like Meghalaya, where traditional farming practices persist amidst challenges like weather variability and limited access to communication technologies. The study investigated the mass …

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