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We experimentally study negative fluctuations of stochastic entropy production in an electronic double dot operating in nonequilibrium steady-state conditions. We record millions of random electron tunneling events at different bias points, thus collecting extensive statistics. We show that for all bias voltages, the experimental average values of the minima of stochastic entropy production lie ab
Carotenoid-based coloration in birds is widely considered an honest signal of individual condition, but the mechanisms responsible for condition dependency in such ornaments remain debated. Currently, the most common explanation for how carotenoid coloration serves as a reliable signal of condition is the resource trade-off hypothesis, which proposes that use of carotenoids for ornaments reduces t
Background Breathlessness is prevalent in the general population and may be associated with adverse health outcomes. This study aimed to evaluate the association of breathlessness with Chronic Obstructive Pulmonary Disease (COPD) events, cardiac events and all-cause mortality from middle-age throughout life. Methods Breathlessness was measured in 699, 55-year old men residing in Malmö, Sweden usin
Arabidopsis thaliana L. is a small flowering plant that is widely used as a model organism in plant biology. In the present study, we study the peripheral membrane protein ATEXPA23 from Arabidopsis thaliana L. using homology modelling and molecular docking. The microarray analysis shows expression of ATEXPA23 (AT5G39280) protein, which leads to loosening and extension of plant cell walls. This pro
Computer science plays a major role in image segmentation and image processing applications. Despite the computational cost, PSO evaluated QCA approaches perform comparable to or better than their crisp counterparts. This novel approach, proposed in this chapter, has been found to enhance the functionality of the CA rule base and thus enhance the established potentiality of the fuzzy-based segment
Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automa
Handwritten Bangla numeral recognition has been studied broadly in the last century. This is a very interest subject among the experimenters because of the progression of various pattern recognition algorithms. In this paper, we compare the results of most widely used machine learning method Like Multi Layer Percepton (MLP) and deep learning method like multilayer Convolutional Neural Network (CNN
The challenges faced in medical image processing makes image processing domain one of the active research areas nowadays. Brain tumors are aberrant growth formed by cells reproducing in an abnormal manner. Detecting the location of brain lesion (tumor) is essential as it helps in the diagnosis and cure of tumor. This paper proposes a novel clustering approach for the brain lesions in BRATS trainin
This chapter proposes a novel offline text dependent writer verification method based on Gray Level Co-occurrence Matrix (GLCM). The method is used to combine the result of Dual Tree Complex Wavelet Transforms (DT-CWT) and GLCM features to enhance the GLCM feature performance. The texture is a very important characteristic, which is used to verify the known writer from unknown writers. We have use
Lignin depolymerisation can be utilized to produce value-added aromatic compounds. One of the major challenges in lignin depolymerisation study is the development of effective analytical tools to unravel the huge complexity of the depolymerisation product mixture. Traditional gas chromatography (GC) and high- performance liquid chromatography (HPLC) methods applied for this purpose are often in laLignin depolymerisation can be utilized to produce value-added aromatic compounds. One of the major challenges in lignin depolymerisation study is the development of effective analytical tools to unravel the huge complexity of the depolymerisation product mixture. Traditional gas chromatography (GC) and high- performance liquid chromatography (HPLC) methods applied for this purpose are often in la
We find an argument related to the existence of a Z 2 -symmetry for the renormalization group flow derived from the bare Yang–Mills Lagrangian, and show that the cancellation of the vacuum energy may arise motivated both from the renormalization group flow solutions and the effective Yang–Mills action. In the framework of the effective Savvidy’s action, two Mirror minima are allowed, with exactl
We report, for the first time, on a SPICE simulation study of the circuit-level power-performance impact of device traps in a state-of-the-art III-V heterojunction tunnel FET (TFET). First, the individual parasitic effects of junction bulk traps and oxide interface traps are incorporated in a compact model and validated against measurement-calibrated TCAD data, where we propose an analytical formu
