A NOVEL DESIGN OF FLOWER TYING MACHINE

 A prototype model of automated flower string machine is proposed to knot the flowers. In India’s rich culture flower garlands play a vital role. They are used for decorations and adorations of Gods, men and women. Garlanding of flower is a monotonous and time- consuming job. The flower string machine is conceptualized based on the working principle of sewing machine and added multiple kinematic mechanisms to drive the flower feeding and stringing. The flowers will be placed on the conveyor belt and based on process control technique; an innovative knotting mechanism will be used to string the flowers. It is also a customized machine for armless and loss of fingers community. Flower tying machine ensures perfect garlanding in an affordable cost. By this technique, the manual work can be reduced and flower vendors can utilize their time effectively

Robust multi-machine power system stabilizer design using bio-inspired optimization techniques and their comparison

DATA AVAILABILITY : Data will be made available on request.This paper reports a comparative study among four bio-inspired meta-heuristic techniques i.e. Sooty-Tern Optimization (STO), Grey Wolf Optimization (GWO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) to tune the robust Power System Stabilizer (PSS) parameters of the multi-machine power system. These approaches are successfully tested on two bench-mark systems: sixteen-machine, sixty-eight-bus New England Extended Power Grid (NEEPG) and three-machine, nine-bus Western System Coordinating Council (WSCC). The efficacy of planned PSS via STO and GWO is validated by extensive non-linear simulations, eigenvalue analysis, and performance indices for numerous operating conditions under decisive perturbations, and outcomes are matched with those of GA and PSO techniques. In addition, the robustness is also tested for these algorithms. The results indicate that the PSS design using STO and GWO improves the small-signal stability and damping performance for mitigating inter-area and local area modes of low-frequency oscillations compared to GA and PSO.https://www.elsevier.com/locate/ijepeshj2024Electrical, Electronic and Computer EngineeringSDG-07:Affordable and clean energ

Modelling Chlamydia and HPV co-infection in patient-derived ectocervix organoids reveals distinct cellular reprogramming

Coinfections with pathogenic microbes continually confront cervical mucosa, yet their implications in pathogenesis remain unclear. Lack of in-vitro models recapitulating cervical epithelium has been a bottleneck to study coinfections. Using patient-derived ectocervical organoids, we systematically modeled individual and coinfection dynamics of Human papillomavirus (HPV)16 E6E7 and Chlamydia, associated with carcinogenesis. The ectocervical stem cells were genetically manipulated to introduce E6E7 oncogenes to mimic HPV16 integration. Organoids from these stem cells develop the characteristics of precancerous lesions while retaining the self-renewal capacity and organize into mature stratified epithelium similar to healthy organoids. HPV16 E6E7 interferes with Chlamydia development and induces persistence. Unique transcriptional and post-translational responses induced by Chlamydia and HPV lead to distinct reprogramming of host cell processes. Strikingly, Chlamydia impedes HPV-induced mechanisms that maintain cellular and genome integrity, including mismatch repair in the stem cells. Together, our study employing organoids demonstrates the hazard of multiple infections and the unique cellular microenvironment they create, potentially contributing to neoplastic progression

Introduction:New approaches to 3D vision

P.L. is supported by the Presidential Scholars in Society and Neuroscience, Columbia University and a Fellowship in Art, Humanities and Neuroscience at the Italian Academy for Advanced Studies in America, Columbia University. D.V. was supported by a Leverhulme Trust Research Project Grant (grant no. RPG-2016-269: ‘What does it mean to ‘See in 3D’?’). F.D. is supported by a National Science Foundation grant (NSF #BCS 2120610: ‘A test of a novel non-probabilistic model of 3D cue integration’).New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of how animals navigate the 3D world, and new insights into human perception in virtual and augmented reality. Whilst traditional approaches to 3D vision in computer vision (SLAM: simultaneous localization and mapping), animal navigation (cognitive maps), and human vision (optimal cue integration) start from the assumption that the aim of 3D vision is to provide an accurate 3D model of the world, the new approaches to 3D vision explored in this issue challenge this assumption. Instead, they investigate the possibility that computer vision, animal navigation, and human vision can rely on partial or distorted models or no model at all. This issue also highlights the implications for artificial intelligence, autonomous vehicles, human perception in virtual and augmented reality, and the treatment of visual disorders, all of which are explored by individual articles. This article is part of a discussion meeting issue ‘New approaches to 3D vision’.Publisher PDFPeer reviewe