Nanotechnologists and medical researchers are working hard to develop new and innovative ways to use nanorobots as nanomedicine to improve healthcare outcomes and revolutionize the field of therapeutics.Nanotechnology has the potential to revolutionize healthcare by providing new ways of treating chronic diseases in the field of medicine.A “
Tree Association with Pometia and its Structure in Logging Concession of South Papua Forest
Part of forests in Papua is still as logging concession.Pometia spp.are target species, but there is still a lack of information regarding the ecological condition of those species.Thus, the objectives of this research were to describe what tree species (small and large individuals) associated with Pometia, how logging and soil properties influence
Analysis of Real-Time Frequency Event in Indian Power System: Quantifying Frequency Response Reserves and Effective-Droop Performance
In modern power systems, characterized by converter-interfaced generation and electronic interface loads, system inertia ( $M_{ ext {sys}}$ ) is declining.While existing methods primarily focus on inertia estimation, a broader understanding of its impact on frequency response is imperative.This study proposes a comprehensive approach to quantify re
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
Recent progress in machine learning has shown how to MUSCLE TONIC forecast and, to some extent, learn the dynamics of a model from its output, resorting in particular to neural networks and deep learning techniques.We will show how the same goal can be directly achieved using data assimilation techniques without leveraging on machine learning softw
SS-DBSCAN: Semi-Supervised Density-Based Spatial Clustering of Applications With Noise for Meaningful Clustering in Diverse Density Data
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by pinpointing core points.The primary challenges associated with the DBSCAN algorithm involve the recognition of meaningful clusters within varying densities datase