Search Results (256)

Cross-institutional collaborative fraud detection is essential for combating increasingly sophisticated financial fraud, yet privacy regulations and data silos severely constrain knowledge sharing among institutions. This study aims to develop a privacy-preserving framework that enables effective collaborative fraud detection while protecting raw data, with particular emphasis on exploiting symmetry properties in federated architectures and graph topology analysis. We propose an Adaptive Federated Graph Attention Network (FedGAT), which employs spatio-temporal graph attention mechanisms to capture topological structures and dynamic fraud patterns within institutional transaction networks. The framework introduces a symmetric similarity matrix derived from graph topological features, where the symmetry property ($s_{ij}=s_{ji}$) ensures consistent and unbiased measurement of structural relationships between any pair of institutions. Based on this symmetric similarity metric, an adaptive weighted aggregation mechanism is designed for cross-institutional parameter fusion, enabling balanced knowledge transfer that respects the symmetric collaborative relationship among participating institutions. The symmetric information exchange protocol between local institutions and the central server further guarantees equitable contribution and benefit distribution throughout the federated learning process. The framework is evaluated on the Elliptic Bitcoin transaction dataset and the IEEE-CIS fraud detection dataset, with recall rate and false positive rate as primary performance metrics. Results show that FedGAT achieves a recall of 0.85 and a false-positive rate of 0.038 in single-institution detection, representing approximately 40% and 70% improvements over existing methods, respectively. In collaborative detection across five virtual institutions, the symmetry-aware adaptive aggregation mechanism enables all participants to achieve performance gains exceeding 15% while completely eliminating negative transfer effects observed in simple averaging approaches. This work contributes a novel symmetry-based federated learning framework that balances privacy protection with detection performance, advancing the literature on cross-institutional financial risk management. Full article

Background/Objectives: Plants alter metabolites of their fruits during the ripening process, leading to improved nutritional properties and taste. In addition, metabolite compositions continue to change on the shelf after harvest. However, the dynamics of these important processes are species-specific and so this study aimed to contrast the ripening dynamics of ten different fruit species simultaneously. Methods: Plant material was collected from the fruits of apple, banana, blueberry, kiwifruit, pear, plum, peach, strawberry, raspberry, and tomato at three different stages: unripe, fully ripe, and overripe fruits. Comparative metabolome analysis by GCMS was performed to identify differentially abundant metabolites across the species of this study and to examine their dynamics across ripening and post-harvest storage. These results were complemented by elemental compositions derived from a literature search. Results: In a first, this study demonstrated that both baseline metabolite abundances and their dynamics across ripening clustered species vary largely according to their phylogeny. Comparisons across ripe fruit identified differences in nutritional properties, highlighting species such as banana to be of especially high nutritional value and blueberry and peach to be prominent sources of antioxidants. Comparing the ripening dynamics of all species identified common patterns, such as the conversion of organic acids to sugars and cell wall dynamics, although species-specific responses were also acknowledged, in particular, kiwi and the Rosaceae berries, which may explain differences in post-harvest shelf-life. Conclusions: The observed inter- and intra-specific variation in nutritionally relevant metabolites and elements serves as a reference for both producers and consumers and emphasizes that consuming a variety of fruits, not only across species but also across cultivars within a species, can maximize the intake of beneficial phytonutrients, sugars, amino acids, and antioxidants. Full article

This essay examines six depictions of the 1898 suicide of New Zealand businessman and politician William Larnach: four historical narratives and two dramatic/fictional depictions. Drawing on the insights of postmodern historiographers like Hayden White, I argue that these tellings reflect an increasing influence of the Hippolytus myth, a culturally authorized narrative rooted in traditional British colonial education structures and Antipodean reception of classics. In particular, as New Zealand shifted away from British identification to a distinctly Kiwi identity, classics legitimized New Zealand culture within a global north from which the Antipodean nation is geographically isolated. Analyzing depictions of Larnach’s death and the possible incestuous scandal leading up to it reveals important historiographic insights both into how history is conceptualized and emplotted and into how Antipodean cultures navigate their positions on the fringes of a larger global north primarily seated in Europe and North America. Full article

Faecalibacterium prausnitzii, a major butyrate-producing gut commensal with anti-inflammatory activity, is extremely oxygen-sensitive, limiting its use as a probiotic. Dietary prebiotics may enhance its growth and resilience, thereby influencing host immune responses. This study examined how distinct classes of prebiotics including oligosaccharides (fructooligosaccharides, arabinoxylan), nondigestible polysaccharides (inulin, pectin, resistant starch, golden kiwi fiber), and the vitamin riboflavin affect the growth kinetics, bile tolerance, and immunomodulatory properties of F. prausnitzii. Doubling times were quantified in MRS medium supplemented with 0–2% prebiotics, bile tolerance was assessed under 0–0.5% bile salts, and immunomodulatory response was evaluated by measuring TNF-α expression in monocytic THP-1 cells exposed to bacterial supernatants. All prebiotics significantly reduced doubling times compared with controls, with FOSs, inulin, pectin, resistant starch, and riboflavin showing clear dose-dependent stimulation. Prebiotics also mitigated bile-induced growth delays, though with substrate-specific patterns; pectin and FOSs conferred the strongest protection. Culture supernatants significantly altered TNF-α expression, with pectin inducing the greatest response, followed by arabinoxylan, FOSs, and golden kiwi fiber. Overall, prebiotics enhanced F. prausnitzii growth, increased stress resilience, and differentially modulated immune-related metabolites. Pectin emerged as a particularly effective substrate for promoting microbial function and host-relevant immunomodulation. Full article

The demand for high-quality agricultural products is increasing; however, this requirement is becoming increasingly challenging due to the effects of climate change, which can cause abiotic stress. In this research, we studied the performance of kiwifruit (Actinidia deliciosa var. ‘Hayward’) 60 days after storage for two different cultivation periods, in which a glycine betaine biostimulant (GB) was applied to the kiwi trees via irrigation under field conditions. Postharvest analysis was performed by measuring the fresh and dry weight of the kiwifruit, the soluble solids content, and titratable acidity. To assess the antioxidant traits of the kiwifruit, DPPH and ascorbic acid contents were recorded. Data analysis revealed that the GB treatment proved beneficial for kiwifruit during storage, enhancing their antioxidant capacity as indicated by their higher ascorbic acid content (vitamin C) compared to the control. This qualitative difference may benefit the commercial requirements of kiwifruit cultivation under the abiotic conditions of climate change, which prompts us to further investigate the application of amino acid biostimulants. This research complements the existing literature on the implementation of biostimulants, as reports regarding their application in kiwifruit cultivation are limited, and provides an optional solution for meeting the commercial needs of kiwifruit cultivation and improving the adaptability of kiwifruit cultivation under abiotic stress conditions. Full article

In response to the growing interest in sustainable and material-efficient architectural solutions, this study focuses on innovative applications of engineered timber in lightweight structural systems. It investigates the material optimization and structural performance of engineered timber thin-shell structures through an integrated parametric design approach. The study compares three prefabricated, panelized building systems, gridshell, segmented full-plate shell, and ribbed shell, to evaluate their efficiency in terms of material intensity, stiffness, and geometric behavior. Using Rhinoceros and Grasshopper environments with Karamba3D, Kiwi3D, and Kangaroo plugins, a comprehensive parametric workflow was developed that integrates geometric modeling, structural analysis, and material evaluation. The results show that segmented ribbed shell and two segmented gridshell variants offer up to 70% reduction in material usage compared with full-plate segmented timber shells, with hybrid timber shells achieving the best balance between stiffness and mass, offering functional advantages (roofing without additional load). These findings highlight the potential of parametric and computational design methods to enhance both the environmental efficiency (LCA) and digital fabrication readiness of timber-based architecture. The study contributes to the ongoing development of computational timber architecture, emphasizing the role of design-to-fabrication strategies in sustainable construction and the digital transformation of architectural practice. Full article

Remediating cadmium (Cd) contamination in aquatic and terrestrial environments has become an urgent environmental priority. Biochar has been widely employed for heavy metal removal due to its wide availability, strong adsorption capacity, and potential for recycling agricultural waste. In this study, samples of alkali–Fe-modified biochar (Fe@NaOH-SBC, Fe@NaOH-HBC, and Fe@NaOH-MBC) were prepared from agricultural wastes (ginger straw, Sichuan pepper branches, and kiwi leaves) through NaOH and FeCl₃·6H₂O modification. A comprehensive characterization confirmed that the alkali–Fe-modified biochar exhibits a higher specific surface area, richer functional groups, and successful incorporation of the iron oxides Fe₃O₄ and α-FeOOH. The fitting parameter qmax from the Langmuir model indicates that the alkali–Fe modification of carbon significantly enhanced its maximum capacity for Cd²⁺ adsorption. Furthermore, a synergistic effect was observed between iron oxide loading and alkali modification, outperforming alkali modification alone. Furthermore, a 30-day soil incubation experiment revealed that the application of alkali–Fe-modified biochar significantly increased soil pH, SOM, and CEC while reducing the available cadmium content by 13.34–33.94%. The treatment also facilitated the transformation of highly bioavailable cadmium species into more stable, less bioavailable forms, thereby mitigating their potential entry into the food chain and the associated human health risks. Moreover, short-term spinach seed germination experiments confirmed that treatments with varying additions of alkali–Fe-modified biochar mitigated the inhibition of seed physiological processes by high concentrations of available cadmium to varying degrees. Overall, this study provides a sustainable and effective strategy for utilizing agricultural waste in the remediation of cadmium-contaminated water and soil systems. Full article

Listeria monocytogenes is a foodborne pathogen of significant concern. While it typically causes mild, self-limiting gastroenteritis, it poses a much higher threat to immunocompromised individuals and pregnant women, where it may lead to miscarriage. Numerous outbreaks have been linked to ready-to-eat foods. Although heat treatment is commonly used for microbial decontamination, it is unsuitable for fresh produce such as fruits and vegetables. Other physical (e.g., UV, gamma irradiation) and chemical (e.g., NaOCl, ozone) methods can compromise sensory qualities or face limited consumer acceptance. Photodynamic Inactivation (PDI) has emerged as a promising alternative, particularly when using natural photosensitizers. Because PDI efficacy depends on photosensitizer diffusion, there is a need to further explore how different and complex fruit surface structures may influence its performance. Three fruit models were therefore selected to represent distinct surface textures and were evaluated in situ: apples (smooth), strawberries (irregular), and kiwis (fuzzy and hairy surface). The influence of contamination order was also evaluated, as this factor is highly relevant to real-world supply-chain scenarios but has been largely overlooked in prior research. Additionally, the study investigated how the order of contamination affected the decontamination outcome. Sodium-magnesium-chlorophyllin (Na-Mg-Chl), an approved food additive (E140), was used as photosensitizer. Fruits were cut into 1 cm² squares and inoculated with L. monocytogenes. A 100 µM Na-Mg-Chl solution was applied either before or after bacterial inoculation. All samples were then illuminated using a 395 nm LED (radiant exposure 15 J/cm²). When L. monocytogenes was applied first, followed by the addition of Na-Mg-Chl, a 5.96 log reduction was observed in apples, a 5.71 log reduction in strawberries, and a 6.02 log reduction in kiwis. Conversely, when Na-Mg-Chl was applied prior to bacterial deposition, apples showed a 5.61 log reduction, strawberries demonstrated a 6.34 log reduction, and kiwis achieved the highest inactivation, at 6.74 log units. These results indicate that PDI consistently achieved substantial bacterial reductions across all fruit types, regardless of surface characteristics or application order. This supports PDI as a powerful method for fruit surface decontamination, reducing public health risks and economic losses while preserving product quality and consumer confidence. Full article

Global kiwifruit production has been severely affected by Pseudomonas syringae pv. actinidiae (Psa), which causes kiwifruit bacterial canker. The main strategies for controlling this pathogen involve the use of copper-based compounds and antibiotics, which are insufficient and promote the development of bacterial resistance. Therefore, this study evaluates the efficacy of different botanical products obtained from wild-grown and in vitro-grown plants, with 25–75% hydroalcoholic extracts (ethanol–water; 0.7 L/ha) effectively reducing the symptoms of the disease in kiwifruit, both in vitro and in vivo during a growing season. Additionally, field trials confirmed that the formulations promote better fruit yield and quality, demonstrating through acute oral toxicity testing in rats that the botanical product administered has no toxicity, making these botanical products a promising and sustainable alternative strategy for combating plant pathogen-induced diseases in an environmentally friendly manner. Full article

Ultrasonic-assisted maceration and supplementation with glutathione-enriched inactive dry yeast (g-IDY) represent promising strategies to optimize the quality of fermented fruit wines. This study systematically investigated the synergistic effects of combined ultrasonic treatment and g-IDY addition on the metabolomics, flavoromics, and antioxidant properties of kiwifruit wine (KW), using integrated ¹H-NMR, GC-MS, gas chromatography–ion mobility spectrometry (GC-IMS), and radical scavenging assays. ¹H-NMR analyses revealed that both individual and combined treatments significantly altered the KW metabolome, influencing the levels of amino acids, organic acids, and carbohydrates. GC-MS and GC-IMS analyses characterized numerous volatile compounds, demonstrating that the combined treatments (USL + GSH, USM + GSH, USH + GSH) particularly enhanced the concentrations of desirable fruity esters (e.g., ethyl isobutyrate) and reduced off-flavor compounds (e.g., hexanoic acid), exhibiting a clear synergistic effect beyond individual applications. Furthermore, the combined treatment significantly enhanced the antioxidant capacity of KW, as evidenced by the significantly higher scavenging activities against DPPH, hydroxyl, and superoxide anion radicals, compared to individual applications. Overall, this study sheds light on applying the synergistic treatment of ultrasonics and g-IDY as a novel technique to comprehensively enhance the flavor and functional quality of KW. Full article

Actinidia arguta, also known as mini kiwi (due to its small size) or hardy kiwi (due to its frost resistance), is becoming an increasingly popular fruit alongside its commercially older siblings, i.e., A. deliciosa (green kiwi fruit) and A. chinensis (golden kiwifruit), from the Actinidiaceae family. This review paper discusses the biological and pharmacological properties of A. arguta fruits, with a special focus on methods of the bioactive component analysis. Mini kiwi is a valuable source of bioactive compounds, which contribute to its health-promoting properties, among others: antioxidant, neuroprotective, anticholinergic, antitumor, anti-inflammatory, antidiabetic, antiobesity as well as antiatherosclerotic ones. They are briefly discussed, illustrating the action of bioactive ingredients and the methods of analysis, which are presented in the tables. This review includes a concise characterization of A. arguta and updates the current field of knowledge about its diverse biological activities, which are undoubtedly related to the content of bioactive components and the methods used for their isolation and analysis. The information included in this review paper will be helpful in perceiving mini kiwi not only as a tasty fruit but also as a source of bioactive ingredients with beneficial, health-promoting effects on the body. Effective isolation of these components can contribute to the future development of antiaging and anticancer drugs, which undoubtedly will lead to further research and promote this species. Full article

The present paper discusses differences in the theoretical behavior of nonconventional biomasses during combustion according to their combustion parameters, focusing on their potential for sustainable energy valorization and their contribution to sustainable development. Data were obtained through thermogravimetric analysis (TGA) of biomasses from the local Galicia–North Portugal Euroregion. The samples tested were raw, nonwoody biomasses, specifically kiwi waste and gorse, and animal-derived biomasses, poultry and turkey manure. A wood pellet was also included as a reference conventional biofuel. Nonwoody biomass samples containing kaolin and calcium carbonate were also tested. Thermogravimetric analyses were performed on each biofuel under an oxidative atmosphere at different heating rates. With these data, different combustion parameters were calculated. The TGA results showed that the mean ignition temperature observed for animal-derived fuels was about 15 °C lower than for nonwoody biomasses at every heating rate, which indicates that they start to burn at lower temperatures. These animal-derived fuels generally presented better combustion parameters, suggesting that their combustion behavior is better; however, their high ash and moisture contents are problematic. These issues would be aggravated in real facilities, making them more difficult to use as fuel. The proportion of additives used had no effect on the parameters at lower heating rates, although they started to modify their tendency at 30 °C/min. For instance, the ignition index for non-additivated kiwi waste was 174.32 (wt. %/min³) × 10⁻³ compared to 143.78 (wt. %/min³) × 10⁻³ for kiwi with CaCO₃. Full article

To address the challenges of poor model adaptability and high computational complexity in complex orchard environments characterized by variable lighting, severe occlusion, and dense fruit clusters, an enhanced kiwifruit detection network, Kiwi-YOLO, is proposed based on YOLOv8. Firstly, replacing the main network with the MobileViTv1 module reduces computational load and parameters, thus enhancing inference efficiency for mobile deployment. Secondly, incorporating BiFPN into the model’s neck as a replacement for PANet improves feature distinguishability between background regions and target instances. Additionally, incorporating MCA module promotes cross-dimensional feature interactions, strengthening model robustness and generalization performance. Finally, the MPDIoU loss function is adopted to minimize bounding box vertex distances, mitigating detection box distortion caused by sample heterogeneity while accelerating convergence and enhancing localization accuracy. Experimental results indicate that the enhanced model achieves improvements of 2.1%, 1.5% and 0.3% in precision, recall, and mAP, respectively, over the baseline YOLOv8, while reducing parameters (Params) and computational complexity (GFLOPs) by 19.71 million and 2.8 billion operations. Moreover, it surpasses other comparative models in performance. Furthermore, in experiments detecting kiwifruit targets under complex lighting and occlusion conditions, the Kiwi-YOLO model demonstrated excellent adaptability and robustness. Its strong environmental adaptability provides technical guidance for advancing the practical application of unmanned intelligent kiwifruit harvesting. Full article

Reference-less evaluation of machine translation, or Quality Estimation (QE), is vital for low-resource language pairs where high-quality references are often unavailable. In this study, we investigate segment-level QE methods comparing encoder-based models such as MonoTransQuest, CometKiwi, and xCOMET with various decoder-based methods (Tower+, ALOPE, and other instruction-fine-tuned language models). Our work primarily focused on utilizing eight low-resource language pairs, involving both English on the source side and the target side of the translation. Results indicate that while fine-tuned encoder-based models remain strong performers across most low-resource language pairs, decoder-based Large Language Models (LLMs) show clear improvements when adapted through instruction tuning. Importantly, the ALOPE framework further enhances LLM performance beyond standard fine-tuning, demonstrating its effectiveness in narrowing the gap with encoder-based approaches and highlighting its potential as a viable strategy for low-resource QE. In addition, our experiments demonstrates that with adaptation techniques such as LoRA (Low Rank Adapters) and quantization, decoder-based QE models can be trained with competitive GPU memory efficiency, though they generally require substantially more disk space than encoder-based models. Our findings highlight the effectiveness of encoder-based models for low-resource QE and suggest that advances in cross-lingual modeling will be key to improving LLM-based QE in the future. Full article

This study investigates the development and evaluation of anti-photoaging creams enriched with natural extracts from avocado, apple, and kiwi by-products, with and without nanobubbles (NBs), focusing on their antioxidant, photoprotective, anti-inflammatory, and antiplatelet properties. Extract-containing creams showed significantly higher antioxidant capacity, particularly in the ferric reducing antioxidant power (FRAP) assay (S: 710.4 ± 344.3, NB: 566.3 ± 185.0, X: 202.8 ± 145.6 μmol TE/g DW at production; S: 631.7 ± 277.8, NB: 1019.3 ± 574.0, X: 449.8 ± 43.9 μmol TE/g DW after 1 month; p < 0.05), indicating up to a 250% improvement compared to the base cream and stable antioxidant activity during storage. The sun protection factor (SPF) increased in extract-containing creams after storage (8.7 ± 0.8 → 9.5 ± 0.6; p < 0.05). Attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR) with Strat-M^® membranes revealed enhanced penetration of active compounds in enriched creams, while NBs did not significantly change absorption profiles. Platelet aggregation assays showed markedly lower half maximal inhibitory concentration (IC50) values in extract-enriched creams compared to the base cream for both the platelet-activating factor (PAF) pathway (S: 300.0 ± 42.0, NB: 258.0 ± 31.0 vs. X: 685.0 ± 35.0; after 1 month S: 325.0 ± 50.0, NB: 275.0 ± 42.0 vs. X: 885.0 ± 112.0; p < 0.05) and the adenosine diphosphate (ADP) pathway (S: 450.0 ± 65.0, NB: 400.0 ± 31.0 vs. X: 880.0 ± 58.0; after 1 month S: 470.0 ± 52.0, NB: 412.0 ± 42.0 vs. X: 1102.0 ± 125.0; p < 0.05). In silico analysis was also performed to demonstrate the ligand/protein complex with the strongest affinity to the PAF receptor. Overall, these findings highlight the potential of fruit by-products as sustainable, multifunctional cosmetic ingredients supporting circular economy principles. Full article