IN VITRO DEGRADATION OF PHB/BACTERIAL CELLULOSE BIOCOMPOSITE SCAFFOLDS


Improving Automated Machine-Learning Systems through Green AI

Automated machine learning (AutoML), which aims to facilitate the design and optimization of machine-learning models with reduced human effort and expertise, is a research field with significant potential to drive the development of artificial intelligence in science and industry.However, AutoML also poses challenges due to its resource and energy

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Synthesis, Microstructural Characterization, Mechanical, Fractographic and Wear Behavior of Micro B4C Particles Reinforced Al2618 Alloy Aerospace Composites

In the current studies an investigations were made to know the effect of 63 micron sized B4C particles addition on the mechanical and wear behavior of aerospace alloy Al2618 metal composites.Al2618 alloy with different weight percentages (2, 4, 6 and 8 wt.%) of 63 micron sized B4C particles reinforced composites were produced by stir cast process.T

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Schistosoma haematobium and Schistosoma bovis first generation hybrids undergo gene expressions changes consistent with species compatibility and heterosis.

When two species hybridize, the two parental genomes are brought together and some alleles might interact for the first time.To date, the extent of the transcriptomic changes in first hybrid generations, along with their functional outcome constitute an important knowledge gap, especially in parasite species.Here we explored the molecular and funct

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Visa-Vanguard: An Nlp-Based, Aipowered Intelligent Chatbot for Streamlining International Student Support Services

Navigation of immigrant and visa procedures stands as a heavy undertaking, particularly for global college students trying to understand the complicated necessities and procedures.The Visa Vanguard project is supposed to simplify the adventure in creating an sensible chatbot supplying customized real-time help via making use of natural language pro

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