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Artificial intelligence and internet of things interventions for improving antioxidant levels in heritage crops: a perspective review

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Artificial intelligence and internet of things interventions for improving antioxidant levels in heritage crops: a perspective review

Sampurna Roy et al · Springer · 2026 · ISSN 2731-4286

Abstract Heritage crops are recognized for their genetic diversity and naturally elevated antioxidant profiles, including polyphenols, flavonoids, and carotenoids. However, their nutritional value is highly sensitive to ...

LCC LCC:Nutrition. Foods and food supplyIdioma eng

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Asymmetric impacts of global competitiveness and foreign direct investment on green total factor productivity in Oman

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Asymmetric impacts of global competitiveness and foreign direct investment on green total factor productivity in Oman

Mohamed Khudari et al · Springer · 2026 · ISSN 2662-9984

Abstract Achieving sustainable economic growth in resource-dependent economies is vital to balancing competitiveness, attracting investment, and improving environmental performance. This study examines the asymmetric eff...

LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma eng

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Design of a RAG framework for cardiology EHR analysis

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Design of a RAG framework for cardiology EHR analysis

Annamaria Defilippo et al · Springer · 2026 · ISSN 2731-0809

Abstract Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems have significantly advanced data modelling capabilities and improved opportunities for extracting knowledge from vast and heterogeneo...

LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng

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A hybrid ANP and machine learning framework for contractor health safety environment and quality performance evaluation

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A hybrid ANP and machine learning framework for contractor health safety environment and quality performance evaluation

Payam Khordoustan et al · Springer · 2026 · ISSN 2731-8117

Abstract Contractor-related deficiencies remain a critical challenge in workplace health and safety management within high-risk industries, particularly in the oil and gas sector, where heterogeneous safety practices and...

LCC LCC:Probabilities. Mathematical statistics; TENDOkluZm9ybWF0aW9uIHRoZW9yeQ~~Idioma eng

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Customer relationship management (CRM) performance evaluation in automotive industries with different level of digital maturities

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Customer relationship management (CRM) performance evaluation in automotive industries with different level of digital maturities

Bo Tang · Springer · 2026 · ISSN 2731-8117

Abstract This study reveals the impact of digital maturities on customer relationship management (CRM) performance in automotive industries. A fuzzy comprehensive evaluation (FCE) approach is employed to evaluate CRM per...

LCC LCC:Probabilities. Mathematical statistics; TENDOkluZm9ybWF0aW9uIHRoZW9yeQ~~Idioma eng

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