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Fight Aging! Newsletter, September 18th 2023
Fight Aging! publishes news and commentary relevant to the goal of ending all age-related disease, to be achieved by bringing the mechanisms of aging under the control of modern medicine. This weekly newsletter is sent to thousands of interested subscribers. To subscribe or unsubscribe from the newsletter, please visit: https://www.fightaging.org/newsletter/ Longevity Industry Consulting Services Reason, the founder of Fight Aging! and Repair Biotechnologies, offers strategic consulting services to investors, entrepreneurs, and others interested in the longevity industry and its complexities. To find out m...
Source: Fight Aging! - September 17, 2023 Category: Research Authors: Reason Tags: Newsletters Source Type: blogs

Alkaline Ni-Zn Rechargeable Batteries for Sustainable Energy Storage: Battery Components, Deterioration Mechanisms, and Impact of Additives
ChemSusChem. 2023 Sep 8:e202300940. doi: 10.1002/cssc.202300940. Online ahead of print.ABSTRACTThe demand for long-term, sustainable, and low-cost battery energy storage systems with high power delivery capabilities for stationary grid-scale energy storage, as well as the necessity for safe lithium-ion battery alternatives, has renewed interest in aqueous zinc-based rechargeable batteries. The Alkaline Ni-Zn rechargeable battery chemistry was identified as a promising technology for sustainable energy storage applications, albeit a considerable investment in academic research, it still fails to deliver the requisite perfor...
Source: ChemSusChem - September 8, 2023 Category: Chemistry Authors: Katerina Bogomolov Yair Ein-Eli Source Type: research

An automated malaria cells detection from thin blood smear images using deep learning
Trop Biomed. 2023 Jun 1;40(2):208-219. doi: 10.47665/tb.40.2.013.ABSTRACTTimely and rapid diagnosis is crucial for faster and proper malaria treatment planning. Microscopic examination is the gold standard for malaria diagnosis, where hundreds of millions of blood films are examined annually. However, this method's effectiveness depends on the trained microscopist's skills. With the increasing interest in applying deep learning in malaria diagnosis, this study aims to determine the most suitable deep-learning object detection architecture and their applicability to detect and distinguish red blood cells as either malaria-i...
Source: Tropical Biomedicine - August 31, 2023 Category: Tropical Medicine Authors: D Sukumarran K Hasikin A S Mohd Khairuddin R Ngui W Y Wan Sulaiman I Vythilingam P C S Divis Source Type: research

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