Carotenoid is a highly economical compound with a variety of bioactivities. However, 98% of total carotenoid used is still being manufactured by chemical-based synthesis, reducing bioactivities and is not environmentally friendly, hence the use of biofortification approach is sought.Lycopene forming phytoene desaturase (CrtI) is one of the key enzymes with the potential to develop as bioparts in recombinant carotenoid biosynthesis. CrtI from Puccinia triticina and Blakeslea trispora are considered as promising candidates due to the high amount of carotenoid inthe fungi. This research aims to…
Muhammad Hamzah Syaifullah AzmiErnawati Arifin Giri-Rachman
It has been almost four years since the first case of COVID-19 emerged, and the antivirals that could work specifically against SARS-CoV-2with a high efficacy are still under development. Main Protease (Mpro) of this virus plays a crucial role in virion maturation during itsreplication within the host cell. This protein works together with the papain-like protease (PLpro) to cleave polyprotein 1a and 1ab into a total of16 functional fragments of non-structural protein. Antiviral with the ability to inhibit the activity of Mpro could potentially prevent the virion replication, and they can be…
This study proposes a multiobjective optimization framework for RFID asset tracking systems considering delay, false identification, and energy efficiency in smart healthcare environments.
We propose a federated learning architecture that enables decentralized training across hospital nodes without sharing raw patient data, achieving state-of-the-art accuracy on clinical decision benchmarks while preserving privacy guarantees under differential privacy constraints.
This paper presents an end-to-end explainable AI pipeline integrating SHAP-based attribution maps and natural language explanations into hospital infrastructure decision systems, demonstrating significant improvements in clinician trust and operational efficiency.
We examine the design principles and technical architecture required to build open, interoperable scholarly infrastructure capable of supporting AI-driven discovery, including FAIR data standards, persistent identifiers, and machine-readable metadata at scale.
