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Investigation of Consumers’ Intention to Use Augmented Reality Applications in Online White Goods Shopping with the Technology Acceptance Model
https://doi.org/10.1007/978-3-031-88071-1_1
Threaded K-wire vs cortical screw fixation in O’Driscoll type 2 and 3 coronoid fractures: a comparative biomechanical study
https://doi.org/10.1016/j.injury.2025.112717https://doi.org/10.2139/ssrn.533916
Flip-KLJN: Random Resistance Flipping for Noise-Driven Secure Communication
The information-theoretically (unconditionally) secure Kirchhoff-law-Johnson-noise (KLJN) bit exchange protocol uses two identical resistor pairs with high (H) and low (L) resistance values, driven by Gaussian noise generators emulating Johnson noise with a high common temperature. The resulting mean-square noise voltage on the wire connecting Alice and Bob has three levels: low (L/L), intermediate (H/L or L/H), and high (H/H), and secure key sharing is achieved at the intermediate level (L/H or H/L). This paper introduces the Flip-KLJN scheme, where a pre-agreed intermediate level, such as H/L, triggers a flip of the bit map value during the bit exchange period. For Eve, the bit map flips appear random. Thus, the formerly discarded H/H and L/L situations can also have a pre-agreed bit value mapping, which flips together with the original bit mapping. Thus, Flip-KLJN doubles the key rate and ensures that all three levels on the wire are indistinguishable for Eve. Bit error probabilities are addressed through analytic calculations and computer simulations.https://doi.org/10.1109/tcomm.2025.3585508https://dx.doi.org/10.48550/arxiv.2504.08367http://arxiv.org/abs/2504.08367https://doi.org/10.1109/TCOMM.2025.358550
Unroasted and Roasted Coffee-Derived Extracellular Vesicles Inhibit Proliferation and Migration of SK-MEL-28 Melanoma Cells via Distinct Molecular Pathways
Abstract Melanoma is among the most common cancers in both men and women, and it can spread earlier and more aggressively than other skin cancers, driving demand for innovative and biocompatible therapeutic strategies. Coffee, one of the most widely consumed beverages worldwide, has been epidemiologically linked to a reduced risk of several cancers, including melanoma. It contains bioactive compounds with reported anti-cancer properties; however, the molecular mechanisms underlying its potential protective effects against melanoma remain insufficiently explored. Plant-derived extracellular vesicles (EVs) have emerged as promising natural nanocarriers due to their high stability, cellular uptake efficiency, and low toxicity. Here, we report the first comparative investigation of EVs isolated from unroasted and roasted Coffea arabica beans and their anti-cancer effects on SK-MEL-28 melanoma cells. Both EV types selectively reduced SK-MEL-28 cell viability, induced apoptosis, suppressed tumor spheroid growth, and impaired cellular migration. Mechanistically, unroasted coffee EVs downregulated SERPINA1 and inhibited the PI3K/AKT pathway, whereas roasted coffee EVs attenuated MAPK signaling by reducing BRAF phosphorylation. These findings demonstrate that coffee-derived EVs exhibit potent anti-melanoma activities through distinct oncogenic pathways and identify them as edible, naturally occurring nanocarriers with therapeutic potential against skin cancer.https://doi.org/10.1101/2025.10.27.68474
The Bosnian Catholics during the nineteenth century in the context of the Ottoman millet system discussions
ABSTRACT In the light of debates about the Ottoman millet system this article examines the relations of Bosnian Catholics with the Ottoman centre in the nineteenth century. It analyses how the system worked and what its components were, on the basis especially of the Ottoman archival documents of the period. It first focuses on how Bosnian Catholics were defined by the Ottoman empire, in order to answer the question of whether or not they were recognized as a separate millet. Secondly, it concentrates on the Bosnian Catholic clergy’s relations with the Ottoman centre and questions the meaning of the Ahdname given to the Bosnian Catholics by Mehmed II, which constitutes the basis for their legal status. Thirdly, by discussing the mutual expectations of the Bosnian Catholics and the Ottoman centre, the article sheds light on how the network of relations and cooperation between the two parties worked. Finally, it focuses on the institutions and states that the Bosnian Catholics used as intermediaries to get the Ottoman centre to intervene in order to solve the problems they faced.https://doi.org/10.1093/jis/etaf01
Fuzzy synthetic approach for seismic risk assessment of bridges with insights from the 2023 Kahramanmaras Earthquake in Turkiye
This paper leverages data from February 6, 2023, Kahramanmaras (Turkiye) Earthquake (Mw 7.8) to evaluate seismic risk and assess bridge damage through a fuzzy synthetic approach (FSA). A novel hierarchical damage classification framework is introduced, integrating critical factors such as ground conditions, structural characteristics, and seismic intensity. By analyzing data from 331 bridges affected by eight major historical earthquakes, the study underscored the influence of foundation depth, construction quality, and distance to fault rupture on structural resilience. Notably, 65% of damaged bridges were within 40 km of the distance to fault rupture, with oblique span orientations (45° to 65°) showing heightened susceptibility to seismic forces. To enhance resilience against earthquakes, the findings advocated for the adoption of deep foundations, advanced materials, and optimized structural designs. Consistent with field observations, the study reinforces the utility of FSA in enabling informed decision-making for disaster risk mitigation and is also beneficial for future seismic resilience design of bridges.https://doi.org/10.1038/s41598-025-98277-5https://pubmed.ncbi.nlm.nih.gov/40251263http://dx.doi.org/10.1038/s41598-025-98277-5https://doaj.org/article/29eec77a451e4edd939360c99b4cfbf
Measurement of the inclusive WZ production cross section in pp collisions at = 13.6 TeV
Abstract The inclusive WZ production cross section is measured in proton-proton collisions at a centre-of-mass energy of 13.6 TeV, using data collected during 2022 with the CMS detector, corresponding to an integrated luminosity of 34.7 fb −1. The measurement uses multileptonic final states and a simultaneous likelihood fit to the number of events in four different lepton flavour categories: eee, eeμ, μμe, and μμμ. The selection is optimized to minimize the number of background events, and relies on an efficient prompt lepton discrimination strategy. The WZ production cross section is measured in a phase space defined within a 30 GeV window around the Z boson mass, as σ total (pp → WZ) = 55.2 ± 1.2 (stat) ± 1.2 (syst) ± 0.8 (lumi) ± 0.3 (theo) pb. In addition, the cross section is measured in a fiducial phase space closer to the detector-level requirements. All the measurements presented in this paper are in agreement with standard model predictions.https://doi.org/10.1007/jhep04(2025)115https://dx.doi.org/10.18154/rwth-2025-08657https://dx.doi.org/10.5445/ir/1000184860https://dx.doi.org/10.3204/pubdb-2024-07412https://dx.doi.org/10.3204/pubdb-2025-03580https://dx.doi.org/10.18154/rwth-2025-08727https://dx.doi.org/10.48550/arxiv.2412.02477http://arxiv.org/abs/2412.02477https://doaj.org/article/bc49b26a850b49eb87557a5026b12843https://hdl.handle.net/11368/3109059https://doi.org/10.1007/JHEP04(2025)115https://bib-pubdb1.desy.de/record/619125https://hal.science/hal-05058007v1https://publikationen.bibliothek.kit.edu/1000184860/166935407https://publikationen.bibliothek.kit.edu/1000184860https://doi.org/10.5445/IR/1000184860https://hdl.handle.net/11589/288829https://hdl.handle.net/11384/154984https://link.springer.com/article/10.1007/JHEP04(2025)115https://hdl.handle.net/2158/1439370https://publications.rwth-aachen.de/record/1019928https://publications.rwth-aachen.de/record/102002
Constraints on new physics with light mediators and generalized neutrino interactions via coherent elastic neutrino nucleus scattering
We investigate new physics effects on coherent elastic neutrino nucleus scattering within the framework of nonstandard interactions and generalized neutrino interactions. Additionally, we examine the possibility of light mediators from a simplified model that includes all possible Lorentz-invariant interactions of vector, axialvector, scalar, pseudoscalar, and tensor types. Constraints and allowed regions at the 90% CL for masses and couplings in each new physics scenario have been obtained through the analysis of TEXONO data, which includes two datasets from a high-purity <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>n</a:mi></a:math>-type point contact germanium detector in 2016 and an advanced <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mi>p</c:mi></c:math>-type point contact Ge detector in 2025. The results are presented in comparison with other reactor and accelerator-based neutrino experiments for complementarity.https://doi.org/10.1103/63xf-t6fzhttps://dx.doi.org/10.48550/arxiv.2502.20007http://arxiv.org/abs/2502.2000
Advancements in smart agriculture: A systematic literature review on state‐of‐the‐art plant disease detection with computer vision
Abstract In an era of rapid digital transformation, ensuring sustainable and traceable food production is more crucial than ever. Plant diseases, a major threat to agriculture, lead to significant losses in crops and financial damage. Standard techniques for detecting diseases, though widespread, are lengthy and intensive work, especially in extensive agricultural settings. This systematic literature review examines the cutting‐edge technologies in smart agriculture specifically computer vision, robotics, deep learning (DL), and Internet of Things (IoT) that are reshaping plant disease detection and management. By analysing 198 studies published between 2021 and 2023, from an initial pool of 19,838 papers, the authors reveal the dominance of DL, particularly with datasets such as PlantVillage, and highlight critical challenges, including dataset limitations, lack of geographical diversity, and the scarcity of real‐world field data. Moreover, the authors explore the promising role of IoT, robotics, and drones in enhancing early disease detection, although the high costs and technological gaps present significant barriers for small‐scale farmers, especially in developing countries. Through the preferred reporting items for systematic reviews and meta‐analyses methodology, this review synthesises these findings, identifying key trends, uncovering research gaps, and offering actionable insights for the future of plant disease management in smart agriculture.https://doi.org/10.1049/cvi2.7000