Device sizing is crucial for meeting performance specifications in operational transconductance amplifiers (OTAs), and this work proposes an automated framework based on a transformer model. The approach first leverages the driving-point signal flow graph (DP-SFG) to map OTA circuit its into transformer-friendly sequential data. A specialized tokenization applied data expedite training of diverse range topologies, under multiple specifications. Under specific constraints, trained model used...

Most of the practical transducers fall into two categories regarding their input-output characteristics: type I, with a characteristic that is exponentially rising, and II, decaying. While I easily linearized using logarithmic converter, II needs additional inversion means for purpose linearization. A technique linearizing type-II transducer log-converter FET presented, its performance compared simple single-stroke digital technique. Examples experimental results are presented discussed.<...

Abstract Background A common survival strategy of microorganisms subjected to stress involves the generation phenotypic heterogeneity in isogenic microbial population enabling a subset survive under stress. In recent study, mycobacterial M . smegmatis was shown develop nutrient depletion. The observed is form bimodal distribution expression levels Green Fluorescent Protein (GFP) as reporter with gfp fused promoter rel gene. stringent response pathway initiated subpopulation high activity....

Equilibrium and nonequilibrium systems exhibit power-law singularities close to their critical bifurcation points respectively. A recent study has shown that biochemical models with positive feedback belong the universality class of mean-field Ising model. Through a mapping between two systems, effective thermodynamic quantities like temperature, magnetic field order parameter can be expressed in terms parameters. In this paper, we demonstrate equivalence using simple deterministic approach....

Since March, 2020, Coronavirus disease (COVID-19) has been designated as a pandemic by World Health Organization. This is highly infectious and potentially fatal, causing global public health concern. To contain the spread of COVID-19, governments are adopting nationwide interventions, like lockdown, containment quarantine, restrictions on travel, cancelling social events extensive testing. understand effects these measures control epidemic in data-driven manner, we propose probabilistic...

Abstract Vaccine hesitancy and acceptance, driven by social influence, is usually explored most researchers using exhaustive survey-based studies, which investigate public preferences, fundamental values, beliefs, barriers, drivers through closed or open-ended questionnaires. Commonly used simple statistical tools do not justice to the richness of this data. Considering gradual development vaccine acceptance in a society multiple local/global factors as compartmental contagion process, we...

The different cell types in a living organism acquire their identity through the process of differentiation which multipotent progenitor cells differentiate into distinct types. Experimental evidence and analysis large-scale microarray data establish key role played by two-gene motif number systems. two genes express transcription factors repress each otherʼs expression autoactivate own production. A theoretical models have recently been proposed based on to provide physical understanding...

Recently, a large number of studies have been carried out on the early signatures sudden regime shifts in systems as diverse ecosystems, financial markets, population biology and complex diseases. The gene expression dynamics are less systematically investigated. In this paper, we consider described by fold-bifurcation model involving bistability hysteresis. We two alternative models, models 1 2, competence development bacterial B. subtilis determine some between noncompetence. use both...

Abstract In marketing world, social media is playing a crucial role nowadays. One of the most recent strategies that exploit contacts for purpose marketing, referral where person shares information related to particular product among his/her contacts. When this spreading goes viral, diffusion process looks like an epidemic spread. work, we perform systematic study with goal device methodology using huge amount survey data available understand customer behaviour from more mathematical and...

Due to cyclic loading and fatigue stress cracks are generated, which affect the safety of any civil infrastructure. Nowadays machine vision is being used assist us for appropriate maintenance, monitoring inspection concrete structures by partial replacement human-conducted onsite inspections. The current study proposes a crack detection method based on deep convolutional neural network (CNN) without explicitly calculating defect features. In course study, database 3200 labelled images with...

Spreading of rumors, gossips and hoax in our practical life social media is a frequent event. Depending on its malicious content, this flow may sometimes create threatening situations, should be handled carefully. Numerous attempts are made to model diffusion understand the dynamics process for effective controlling prevention. As real world can better modeled using network, where each node represents person, link indicates connection between two individuals, researchers have started...

Transcriptional regulation by transcription factors and post-transcriptional microRNAs constitute two major modes of gene expression. While expression motifs incorporating solely transcriptional are well investigated, the dynamics with dual strategies regulation, i.e., both have not been studied as extensively. In this paper, we probe a four-gene motif Some functional characteristics compared those two-gene motif, genetic toggle, employing only regulation. Both define positive feedback loops...

Third world countries are suffering from extreme vehicular air pollution due to dominating number of fossil fuel-driven vehicles on the road. Therefore, in these countries, automatic surveillance systems high demand for close monitoring identify and penalize emitting excessive smoke. In recent times, deep learning-based computer vision rigorously working same. Their accuracy strongly depends training images taken under various imaging conditions. However, there very few publicly available...

ABSTRACT Fatigue performance of spot welded lap shear joint is primarily dependent on weld nugget size, sheet thickness and corresponding stiffness. Two automotive steel sheets having higher strength lower are resistance with established optimum welding condition. The tensile‐shear fatigue the two determined compared. Experimental life each compared predicted lives using different stress intensity factor solutions for kinked crack available in literature. Micrographs fractured surfaces...

Segmentation of macro and microvascular structures in fundoscopic retinal images plays a crucial role the detection multiple systemic diseases, yet it is difficult problem to solve. Most neural network approaches face several issues such as lack enough parameters, overfitting and/or incompatibility between internal feature-spaces. We propose Attention W-Net, new U-Net based architecture for vessel segmentation address these problems. In this architecture, we have two main contributions:...