Fungal Species: Not mentioned

Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework

This research develops mathematical tools to help experts choose the best method for cleaning contaminated soil using living organisms. The study presents new fuzzy logic operators that can handle both numerical and linguistic information, making decisions more understandable to humans. When applied to a contaminated industrial site, the method identified bioaugmentation (adding beneficial microorganisms) as the most effective cleanup approach among four options tested.

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From Efficacy to Effectiveness: Evaluating Psychedelic Randomized Controlled Trials for Trustworthy Evidence-Based Policy and Practice

This paper discusses why testing psychedelic therapies in clinical trials is more complicated than testing regular drugs. When people take psychedelics like MDMA or psilocybin, they clearly notice the effects, which makes it hard to keep the study ‘blinded’ (where neither patients nor researchers know who got the real drug). The author argues that for therapies combining drugs with counseling, this actually makes sense because the therapy itself is part of how the treatment works, not just a confounding factor. However, for stand-alone drug use, this unblinding is a real problem that makes it unclear whether the drug or people’s expectations caused the improvement.

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Harnessing carbon potential of lignocellulosic biomass: advances in pretreatments, applications, and the transformative role of machine learning in biorefineries

This comprehensive review examines how agricultural and forestry waste containing lignocellulose can be transformed into valuable products like biofuels, packaging materials, and medical supplies. The paper covers various treatment methods to break down the tough plant material structure and highlights how artificial intelligence can improve these processes. By utilizing this abundant waste resource efficiently, we can reduce environmental pollution, generate renewable energy, and create useful products while supporting a circular economy approach.

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Statistical optimization of crude oil bioremediation using Streptomyces aurantiogriseus isolated from Egypt’s Western Desert

Researchers from Egypt isolated a special type of bacteria called Streptomyces aurantiogriseus that can break down crude oil and remove it from contaminated soil. Using scientific optimization techniques, they found the best conditions for this bacteria to work most effectively, achieving 92% oil removal in soil experiments. This eco-friendly approach offers a sustainable solution to clean up oil-polluted environments without harmful chemicals.

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