Formulation and validation of mathematical model for co-sputtering conditions to attain stoichiometric CZTS films: Expedience of using all metal sulfide targets

A soda lime glass substrate is used for fabricating Cu2ZnSnS4 (CZTS) thin films using copper (II) sulfide (CuS), zinc sulfide (ZnS), and tin sulfide (SnS) targets using an advanced co-sputtering deposition process.Following that, the films are annealed at 470 °C without sulfur (S).An algorithm based on the deposition rate of the previously specif

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Modelling daily weight variation in honey bee hives.

A quantitative understanding of the dynamics of bee Hoodies colonies is important to support global efforts to improve bee health and enhance pollination services.Traditional approaches focus either on theoretical models or data-centred statistical analyses.Here we argue that the combination of these two approaches is essential to obtain interpreta

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Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs

Abstract Improvement of feed efficiency (FE) in pigs is an important milestone in order to reduce the economic and environmental impact of pig production.The goal of finding biomarkers for FE has persisted for decades.However, due to the complexity of the FE trait, these goals have still not been met.Here, we search for quantitative trait loci (QTL

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Immature Teratoma of Nasal Septum: A Case Report

Introduction: Teratomas are neoplastic tumors derived from totipotent germ cells containing a wide assortment of Medical and Ambulatory supplies / Orthopedic tissues originating from all three germ cell layers.Teratomas can be mature or immature depending on the presence of immature tissues; typically neuroepithelial tissue.Immature teratomas can b

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Unsupervised Multi-Scale Hybrid Feature Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images

Generating pixel-level annotations for semantic segmentation tasks of high-resolution remote sensing images is both time-consuming and tom-of-finland labor-intensive, which has led to increased interest in unsupervised methods.Therefore, in this paper, we propose an unsupervised multi-scale hybrid feature extraction network based on the CNN-Transfo

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