MACHINE LEARNING APPROACHES TO IDENTIFY DISCRIMINATIVE SIGNATURES OF VOLATILE ORGANIC COMPOUNDS (VOCS) FROM BACTERIA AND FUNGI USING SPME-DART-MS

Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS

Point-of-care screening tools are essential to expedite patient care and decrease reliance on slow diagnostic tools (e.g., microbial cultures) to identify pathogens and their associated antibiotic resistance.Analysis of volatile organic compounds (VOC) emitted from biological media has seen increased attention in recent years as a potential non-inv

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The antimicrobial activity of probiotic bacteria Escherichia coli isolated from different natural sources against hemorrhagic E. coli O157:H7

Background: Diarrheal diseases have been seen in all geographical areas throughout the world.Therefore, considering treatment, could be deemed a necessary action.Objective: The aim of this study was to determine the antimicrobial effect of probiotic bacterial strains isolated from different natural sources against 2 pathotypes of pathogenic E.coli.

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Implementasi Pendidikan Lingkungan Hidup Sebagai Kurikulum Muatan Lokal Ekopedagogi Dalam Membangun Karakter Siswa Di SDN Lowokwaru 2 Malang

Abstrak: Penelitian ini bertujuan untuk mendeskripsikan tujuan, isi, sumber belajar, proses pembelajaran, dan penilaian pembangunan karakter dari kurikulum muatan lokal ekopedagogi PLH di SDN Lowokwaru 2.Penelitian ini merupakan penelitian deskriptif kualitatif.Teknik pengumpulan data yang digunakan adalah observasi partisipan, wawancara mendalam,

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