Crystal plasticity (CP) model is a vital tool for understanding structure–property relations, but it is computationally expensive. Hence, data-driven models have been used as surrogate. We proposed a Deep Operator Network (DeepONet) to predict polycrystal stress–strain response. It employs a convolutional network to encode microstructure. To account for different material properties and boundary conditions, we proposed using single-crystal responses as inputs to the branch, furnishing a material-response-informed DeepONet. This is the most novel contribution. We demonstrate that our model can be trained on one material and loading and generalized to new conditions via transfer learning. Results show that using single-crystal responses as input outperforms a similar model using material properties and overcomes limitations with changing boundary conditions. The new model achieved a R2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R^2$$\end{document} value of above 0.99, and over 95% of predicted stresses have a relative error of ≤\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\le $$\end{document} 5%, indicating superior accuracy. With as few as 20 new data and under 1 min training time, the DeepONet can be fine-tuned to generate accurate predictions on different materials and loadings. The prediction speed is 104\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$10^{4}$$\end{document} times faster than CP simulations. The efficiency and generalizability of DeepONet render it a powerful data-driven surrogate to bridge scale gaps in multi-scale analyses.

Tracer testing in reservoir formations is utilised to determine residual oil saturation as part of optimum hydrocarbon production. Here, we present a novel detection method of liquid organic compounds by monodisperse SiO2 nanoparticles (NPs) containing two luminophores, a EuIII:EDTA complex and a newly synthesised fluorophore based on the organic boron-dipyrromethene (BODIPY)-moiety. The particles exhibited stable EuIII PL emission intensity with a long lifetime in aqueous dispersion. The fluorescence of the BODIPY was also preserved in the aqueous environment. The ratiometric PL detection technique was demonstrated by using toluene and 1-octanol as model compounds of crude oil. The optimal synthesis conditions were found to give NPs with a diameter of ~ 100 nm, which is suitable for transport through porous oil reservoir structures. The cytotoxicity of the NPs was confirmed to be very low for human lung cell and fish cell lines. These findings demonstrate the potential of the NPs to replace the hazardous chemicals used to estimate the residual oil saturation. Moreover, the ratiometric PL detection technique is anticipated to be of benefit in other fields, such as biotechnology, medical diagnostics, and environmental monitoring, where a reliable and safe detection of a liquid organic phase is needed.

In the fight against cyber attacks, Network Softwarization (NS) is a flexible and adaptable shield, using advanced software to spot malicious activity in regular network traffic. However, the availability of comprehensive datasets for mobile networks, which are fundamental for the development of Machine Learning (ML) solutions for attack detection near their source, is still limited. Cross-Domain Artificial Intelligence (AI) can be the key to address this, although its application in Open Radio Access Network (O-RAN) is still at its infancy. To address these challenges, we deployed an end-to-end O-RAN network, that was used to collect data from the RAN and the transport network. These datasets allow us to combine the knowledge from an in-network ML traffic classifier for attack detection to bolster the training of an ML-based traffic classifier specifically tailored for the RAN. Our results demonstrate the potential of the proposed approach, achieving an accuracy rate of 93%. This approach not only bridges critical gaps in mobile network security but also showcases the potential of cross-domain AI in enhancing the efficacy of network security measures.

In this paper we present a local dynamics and investigate the global behavior of the following system of difference equations$x_{n+1}=ax_{n}^{3}+by_{n}^{3}$ $y_{n+1}=Ax_{n}^{3}+By_{n}^{3}$ $n\in\mathbb{N}_0$ with non-negative parameters and initial conditions $x_{0}$ and $y_{0}$ that are real numbers. We establish the relations for local stability of equilibriums and necessary and sufficient conditions for the existence of period-two solution(s). We then use this result to give global behavior results for special ranges of parameters and determine the basins of attraction of all equilibrium points.

This paper investigates an autonomous predator-prey system of difference equations with three equilibrium points and exhibits chaos in the sense of Li-Yorke in the positive equilibrium point. Numerical simulations are presented to illustrate our results.

No abstract available.

Solvent and substitution effects on the UV/Vis spectroscopic and fluorescence behaviour of seven synthesized 3-substituted 4-hydroxycoumarin derivatives were tested. The tested compounds were dissolved in ethyl acetate, acetonitrile, and dimethyl sulfoxide. Absorption and emission spectra were recorded in the range of 200–800 nm. All tested 4-hydroxycoumarin derivatives showed good absorption in a wide range of 200–550 nm, depending on the properties of the substituents on the benzene ring of the cinnamoyl moiety and the type of solvent. In comparison to the unsubstituted analogue, compounds with an electron-donating group exhibited bathochromically shifted UV/Vis absorption and emission spectra. The highest fluorescence quantum yield was observed for compounds with dimethylamino and acetamido groups as substituents at the benzene ring. Considering that both substitution and solvent affect the absorption and emission spectra of the tested compounds, it can be concluded that judiciously selecting these parameters can improve their absorption and fluorescence properties, making them suitable for various analytical uses.

We propose a unique topological portal between quantum chromodynamics (QCD) and a dark sector characterized by a global symmetry breaking, which connects three QCD to two dark pions. When gauged, it serves as the leading portal between the two sectors, providing an elegant, self-consistent scenario of light thermal inelastic dark matter. The inherent antisymmetrization leads to diminished annihilations at later times and suppressed direct detection. However, novel collider signatures offer tremendous prospects for discovery at Belle II.

Local producers constitute a crucial segment of the local economy, playing a pivotal role in driving rural development and the progress of tourism. Their avenues for showcasing products extend beyond markets, bazaars, or food events, often being integrated into a destination’s tourism offerings. Moreover, they contribute to the culinary progress within tourism. Originating from wider rural areas or nearby villages, local producers significantly impact everyday migrations, services, and financial transactions in relationships spanning suburban–urban, village–town, and cross-border cooperation. This study aims to scrutinize the social facets of the organization and work of local producers, offering insights into contemporary market processes. It also serves to illustrate cross-border cooperation and the role of culinary tourism in local business. Through qualitative data processing, we will delve into the outcomes of cross-border projects, emphasizing ethical and sustainable values rooted in territory, landscape, local culture, authenticity, and the application of culinary elements in tourism. The results will shed light on the economic, social, and cultural ramifications on markets in border regions, influencing daily life and the economy. This study will define key aspects of rural development. These research findings can inform local governments, the economy, and communities in future strategic planning for developing this market segment. Tourism, especially in hospitality, will empower rural communities to enhance financial inflow and create local employment opportunities, such as roles for vineyard tour guides or local chefs. Simultaneously, it will bolster other sectors of the local economy, such as agriculture.

Appendiceal neoplasms are quite uncommon. They are detected in fewer than 0.5 percent of appendectomies and less than 0.5 percent of all gastrointestinal neoplasms. Similar to a colonic adenoma, an appendiceal adenoma is neoplasm with precancerous nature. A rare case of appendiceal adenoma is presented here in a 65-year-old female patient, incidentally discovered at the orifice of the appendix, during the screening analysis. The patient felt well. Abdominal examination and laboratory analysis were regular. Due to the inaccessibility of the lesion by colonoscopy, surgical treatment was recommended. A laparoscopic appendectomy was performed. On pathological examination, diagnosis of tubulovillous adenoma was performed. Endoscopic screening analysis of precancerous appendiceal neoplasm is very important. The method of choice for any appendiceal neoplasm is surgical removal i.e. appendectomy, preferably with a clean caecal margin, which requires stapling of the cecum. Early detection can prevent complications and decrease the risk of consequential appendiceal or colorectal carcinoma.

AbstractAim Hydatidiform mole is a rare pregnancy disorder, with wide variety of reported incidence. The aim of the study was to estimate the incidence of hydatidiform moles (HM) in Tuzla Canton, specifically partial (PHM) and complete (CHM) forms.Material and methods All cases of HM that have been diagnosed at the University Clinical Center, Tuzla, between January 2011 and December 2015 were registered. The overall incidence of HM, as well as the incidence of PHM and CHM was calculated using the Tuzla Canton's live birth rate during the study period. A second review of tissue slides and p57 immunohistochemistry (IHC) staining was performed to determine the validity of the criteria for the diagnosis and distinction of the molar specimens.  Results There have been 256 cases of HM, 243 cases of PHM, 12 cases of CHM, and one case of unspecified HM. The average incidence of PHM was estimated at 11.03/1,000 and CHM at 0.54/1,000 live births. A second pathologist review revealed one PHM as a non-molar specimen, confirmed all CHM and identified an unknown HM as a PHM. Out of the 50 randomly chosen samples of PHM, p57 expression confirmed the diagnosis in 48 cases, disclosed one case as unrecognized CHM, and one sample showed discordant staining. IHC staining for p57 approved the diagnosis for all cases of CHM.Conclusion: HM incidence reporting remains a challenge due to the study design. p57 immunohistochemistry confirmed the strong validity of histopathological criteria in the diagnosis of CHM.