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MythicVision: a deep learning powered mobile application for understanding Indian mythological deities using weight centric decision approach.
Sci Rep
January 2025
School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, 522237, India.
Indian mythology is a treasure trove of divine tales, yet a gap in understanding still exists between foreign tourists and the rich cultural heritage of Indian deities. To address the problem, this paper presents a deep learning-driven mobile application named "MythicVision" designed to help foreign tourists better understand India's rich cultural heritage by recognizing and interpreting images of Indian mythological deities. At first, four state-of-the-art deep models have been trained and evaluated on a custom in-house dataset consists of 10,970 images of various Indian deities sourced from both natural scene and web images.
View Article and Find Full Text PDFUnlocking hidden treasures: the evolution of high-throughput mass spectrometry in screening for cryptic natural products.
Nat Prod Rep
January 2025
Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.
Covering: 1994 to 2024Historically, microbial natural product discovery has been predominantly guided by biological activity from crude microbial extracts with metabolite characterization proceeding one molecule at a time. Despite decades of bioactivity-guided isolations, genomic evidence now suggests that we have only accessed a small fraction of the total natural product potential from microorganisms and that the products of the vast majority of biosynthetic pathways remain to be identified. Here we describe recent advancements that have enabled high-throughput mass spectrometry and comparative metabolomics, which in turn facilitate high-throughput natural product discovery.
View Article and Find Full Text PDFReactive vapor-phase dealloying-alloying turns oxides into sustainable bulk nano-structured porous alloys.
Sci Adv
December 2024
Max-Planck Institute for Sustainable Materials, Max-Planck-Straße 1, Düsseldorf 40237, Germany.
For millennia, alloying has been the greatest gift from metallurgy to humankind: a process of mixing elements, propelling our society from the Bronze Age to the Space Age. Dealloying, by contrast, acts like a penalty: a corrosive counteracting process of selectively removing elements from alloys or compounds, degrading their structural integrity over time. We show that when these two opposite metallurgical processes meet in a reactive vapor environment, profound sustainable alloy design opportunities become accessible, enabling bulk nanostructured porous alloys directly from oxides, with zero carbon footprint.
View Article and Find Full Text PDFClimate data dynamics: A high-volume real world structured weather dataset.
Data Brief
December 2024
Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh.
The dataset at hand is a unique resource, officially procured from the Bangladesh Meteorological Department, the sole government institution that diligently monitors weather through 35 strategically placed weather stations across the nation. This dataset is a treasure trove of actual data spanning several decades, from the inception of each weather station to the present. It has been meticulously restructured and processed into four (Rainfall, Temperature, Humidity, and Sunshine) key weather parameters, presented in a highly organized and accessible format.
View Article and Find Full Text PDFCyclopeptide Avellanins D-O with Antimalarial Activity from the Mariana Trench Anemone-Derived MSC5.
J Nat Prod
December 2024
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P.R. China.
Article Synopsis
- * Researchers used advanced techniques including MALDI-TOF MS, NMR, and LC-MS/MS to analyze a fungus (MSC5) from the Mariana Trench, leading to the discovery of 12 new cyclic pentapeptides known as avellanins D-O and one known compound, avellanin C.
- * The structure of these compounds was determined through several analytical methods, and one of them showed strong antimalarial activity with an IC value of 0.19 ± 0.09 μM, highlighting its potential for medicinal use.
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