Search Results (286)

Knowledge about the composition (volatile and non-volatile) and functionality of natural extracts from Mediterranean plants serves as a basis for their further application. In this study, five selected plants were used for the extraction of plant metabolites. Leaves and flowers of Critmum maritimum, Rosmarinus officinalis, Olea europea, Phylliera latifolia and Mellisa officinalis were collected, and a total of 12 extracts were prepared. Extractions were performed under microwave-assisted conditions, with two solvent types: water (W) and a hydroalcoholic (ethanolic) solution (HA). Detailed extract analysis was conducted. Phenolics were analyzed by detecting individual bioactive compounds using high-performance liquid chromatography and by calculating total phenolic and total flavonoid content through spectrophotometric analysis. Higher concentrations of total phenolics and total flavonoids were obtained in the hydroalcoholic extracts, with the significantly highest total phenolic and flavonoid values in the rosemary hydroalcoholic extract (3321.21 mg_GAE/L) and sea fennel flower extract (1794.63 mg_QE/L), respectively; and the lowest phenolics in the water extract of olive leaves (204.55 mg_GAE/L) and flavonoids in the water extracts of sea fennel leaves, rosemary, olive and mock privet (around 100 mg_QE/L). Volatile organic compounds (VOC) were detected using HS-SPME/GC–MS (Headspace Solid-Phase Microextraction coupled with Gas Chromatography-Mass Spectrometry), and antioxidant capacity was estimated using DPPH (2,2-diphenyl-1-picrylhydrazyl assay) and FRAP (Ferric Reducing Antioxidant Power) methods. HS-SPME/GC–MS analysis of samples revealed that sea fennel had more versatile profile, with the presence of 66 and 36 VOCs in W and HA sea fennel leaf extracts, 52 and 25 in W and HA sea fennel flower extracts, 57 in rosemary W and 40 in HA, 20 in olive leaf W and 9 in HA, 27 in W mock privet and 11 in HA, and 35 in lemon balm W and 10 in HA extract. The lowest values of chlorophyll a were observed in sea fennel leaves (2.52 mg/L) and rosemary (2.21 mg/L), and chlorophyll b was lowest in sea fennel leaf and flower (2.47 and 2.25 mg/L, respectively), while the highest was determined in olive (6.62 mg/L). Highest values for antioxidant activity, determined via the FRAP method, were obtained in the HA plant extracts (up to 11,216 mg_AAE/L for lemon balm), excluding the sea fennel leaf (2758 mg_AAE/L) and rosemary (2616 mg_AAE/L). Considering the application of these plants for fresh fish preservation, antimicrobial activity of water extracts was assessed against Vibrio fischeri JCM 18803, Vibrio alginolyticus 3050, Aeromonas hydrophila JCM 1027, Moraxella lacunata JCM 20914 and Yersinia ruckeri JCM 15110. No activity was observed against Y. ruckeri and P. aeruginosa, while the sea fennel leaf showed inhibition against V. fisheri (inhibition zone of 24 mm); sea fennel flower was active against M. lacunata (inhibition zone of 14.5 mm) and A. hydrophila (inhibition zone of 20 mm); and rosemary and lemon balm showed inhibition only against V. fisheri (inhibition zone from 18 to 30 mm). This study supports the preparation of natural extracts from Mediterranean plants using green technology, resulting in extracts rich in polyphenolics with strong antioxidant potential, but with no clear significant antimicrobial efficiency at the tested concentrations. Full article

Antimicrobial resistance (AMR) poses a growing threat to global health, and its spread through the food chain is gaining increasing attention. While AMR in food of animal origin has been extensively studied, less is known about its prevalence in plant-based foods, particularly fresh and ready-to-eat (RTE) vegetables. This study investigated the occurrence of antimicrobial-resistant bacteria in fresh and RTE vegetables. Isolates were subjected to antimicrobial susceptibility testing and molecular analyses for the characterization of antimicrobial resistance genes (ARGs). A significant proportion of samples were found to harbor antimicrobial-resistant bacteria, including multidrug-resistant strains. Several ARGs, including those encoding extended-spectrum β-lactamases (ESBLs) and resistance to critically important antimicrobials, were detected. The findings point to environmental contamination—potentially originating from wastewater reuse and agricultural practices—as a likely contributor to AMR dissemination in vegetables. The presence of antimicrobial-resistant bacteria and ARGs in fresh produce raises concerns about food safety and public health. The current regulatory framework lacks specific criteria for monitoring AMR in vegetables, highlighting the urgent need for surveillance programs and risk mitigation strategies. This study contributes to a better understanding of AMR in the plant-based food sector and supports the implementation of a One Health approach to address this issue. Full article

This article assesses the importance of two tax controversies in conditioning market access in fifteenth-century Bruges. It looks at diplomatic posturing on the management of this market and the conditions for partaking in its trade. The theory of ‘signalling’ is applied to highlight diplomatic stances and reveal the reasoning behind policy decisions including reprisals, taxes, and boycotts hitherto absent in the literature. Diplomatic, urban legal, and fiscal sources are consulted to reveal what the Castilians and Catalans, sizeable and organised merchant communities in Bruges, perceived as an existential threat to their trade—the ‘fiscalisation’ of market access. This article takes a comparative approach, employing the theory of signalling to determine the strategies of the various actors involved and their efficacy. The Duke of Burgundy and his administration emerge from this story as the prime agent in determining this equilibrium, with the Castilians and Catalans bringing their diplomatic and economic leverage to bear to prevent it. The city of Bruges, as lobbyist and interlocutor, was involved throughout attempting to find a balance between its many merchant communities. These cases offer historical insights into strategies of negotiation when the economic stakes are high. Full article

Wine tourism is a key segment of the global tourism industry, offering visitors opportunities to explore vineyards, taste wines, and experience cultural heritage. This study examines online reviews to identify positive and negative themes of wine tourism experiences and explores how perceptions vary among traveler types. Data were collected from 2850 TripAdvisor reviews of wineries in Bordeaux, Champagne, and Burgundy, France, and analyzed using Leximancer software. The findings reveal seven key themes, including Wine Quality, Tasting Experiences, Tour Guides, Vineyard Views, and Cultural Charm, alongside Dissatisfaction with Time Management and Value for Money. Variations among traveler types highlight distinct preferences, with solo travelers valuing education, couples prioritizing romance, groups focusing on culture, and families concerned with organization. This study contributes to research on experiential tourism by addressing diverse visitor expectations and enhancing service quality. Full article

Objective: The aim of this study was to assess the impact of the COVID-19 pandemic on the adequacy between treatment decisions made in multidisciplinary team meetings (MTMs) and therapy administered to patients with upper aerodigestive tract cancers. Secondary aims included assessing treatment administration times at different periods and identifying factors explaining discrepancies. Methods: A retrospective, monocentric study was conducted at a university hospital center from 2019 to 2021, including 475 first-line patients. Patients were divided into two groups: those with matching treatments (MTMs vs. delivered) and those with discrepancies. Alignment between treatment decision and treatment delivery was compared among the three periods (before, during, and after the COVID-19 pandemic), and factors influencing non-alignment were analyzed using univariate and multivariate analysis. Results: Of the 475 patients, 106 (23%) received treatments differing from MTM decisions. The pandemic period saw more advanced cancers (4.8% metastatic in 2019 vs. 12% in 2020), poorer general condition, and undernutrition. The pandemic did not significantly affect treatment matching (p = 0.4). Factors linked to mismatches included worse general condition (PS ≥ 2, p < 0.001) and more locally advanced tumors (T3/4, p = 0.002). Shorter processing times were noted during the pandemic and post-pandemic periods. Conclusions: Despite more advanced cancers and poorer general condition, patients treated during the pandemic had continuous care and similar treatment alignment as before. This study shows the effectiveness of ongoing care during the pandemic, ensuring treatment adherence. Full article

Road extraction from UAV-based remote sensing images in rural areas presents significant challenges due to the diverse and complex characteristics of rural roads. Additionally, acquiring UAV remote sensing data for rural areas is challenging due to the high cost of equipment, the lack of clear road boundaries requiring extensive manual annotation, and limited regional policy support for UAV operations. To address these challenges, we propose a transferable contextual network (TCNet), designed to enhance the transferability and accuracy of rural road extraction. We employ a Stable Diffusion model for data augmentation, generating diverse training samples and providing a new method for acquiring remote sensing images. TCNet integrates the clustered contextual Transformer (CCT) module, clustered cross-attention (CCA) module, and CBAM attention mechanism to ensure efficient model transferability across different geographical and climatic conditions. Moreover, we design a new loss function, the Dice-BCE-Lovasz loss (DBL loss), to accelerate convergence and improve segmentation performance in handling imbalanced data. Experimental results demonstrate that TCNet, with only 23.67 M parameters, performs excellently on the DeepGlobe and road datasets and shows outstanding transferability in zero-shot testing on rural remote sensing data. TCNet performs well on segmentation tasks without any fine-tuning for regions such as Burgundy, France, and Yunnan, China. Full article

Purpose: This study examines the entrepreneurial transformation within kibbutzim (organizations historically rooted in collectivist ideals) as they adapt to economic and cultural shifts. Positioned as unique socioeconomic models, kibbutzim provide a compelling context for understanding social intrapreneurship, defined as entrepreneurial behaviors emerging within structured communal settings. The study explores how tensions between different community values impact the motivation to establish a new business. Methods: A paper-based survey was distributed to 256 entrepreneurs. Motivation is assessed using the push/pull theory. Self-efficacy is proposed as a mediator between the type of kibbutz (collective or privatized) and motivational factors, with proactive personality acting as a moderator of the relationship between kibbutz type and self-efficacy. Findings: The results indicate that although entrepreneurs from both types of kibbutzim exhibit lower pull motivators compared to non-kibbutz members, privatized kibbutz entrepreneurs display a higher level of push motivation than the other groups. Additionally, self-efficacy mediates the relationship between collective kibbutz members and pull motivation and between privatized kibbutz members and push motivation, but only for entrepreneurs with low levels of proactive personality traits. Conclusions: The findings underscore the influence of cultural tensions and values on entrepreneurial behaviors, offering insights into the interplay between community context and individual agency. Full article

Background: Climate change has consequences for farming, food diversity and availability, and diet habits. There is now evidence that the Mediterranean climate is rapidly spreading to the Northern European latitudes. Objective: This narrative review aims to identify relevant studies related to climate change that could favor the progression of the Mediterranean climate in the northern latitudes of Europe, mainly in France, and to predict what the consequences of these changes on the human diet could be, especially using the concept of the Mediterranean diet, with subsequent impacts on health, farming, and eating habits. Methods: This narrative review was realized by consulting the PubMed, Scopus, Science Direct, and Google Scholar databases. Results: The key points developed in this review are as follows: investigating the Mediterranean diet as a healthy diet, with evidence supporting health benefits and perspectives; similarities with other places in the world at the same Mediterranean latitudes; climate change and the resulting consequences on plant growth, farming, and food habits; and perspectives on the need for societal adaptations of populations towards agriculture, food, and cooking changes. As climate change facilitates the development of new farming practices with more or fewer environmental impacts, the growth of Mediterranean plants in the highest latitudes of Europe, such as olive trees, pomegranates, and almonds, has already begun for economic reasons. Future perspectives: In the near future, besides economic interests, climate change will favor the consumption of several products associated with the Mediterranean diet in the Northern European latitudes. In this context, producers and consumers play major roles. Full article

Filamentous fungi are among the most commonly used microorganisms for producing various metabolites including dyes. Ensuring the safety of products derived from microorganisms is always essential. In this study, the isolated fungus was identified as Pseudofusicoccum sp., a producer of the burgundy pigment through submerged fermentation. The fungus exhibited enhanced growth and pigment production under yellow light. The extract obtained showed no cytotoxicity in the tested cell lines (HepG2, SCC4, BJ, and MRC-5). Among the compounds isolated and identified through NMR analysis, cyclo(L-Pro-L-Val) and cyclo(L-Leu-L-Pro) (diketopiperazines) had been previously reported in foods and are known to be produced by various organisms, with several beneficial biological activities. This identified fungus represents a promising source of biopigments with a crude extract that is non-cytotoxic. Additionally, the isolated compounds exhibit significant biological properties, such as antibacterial, antifungal, and antioxidant activities, highlighting their potential as natural pigments for use in food products. Full article

Direction-of-arrival (DOA) estimation of underwater multipath signals plays a indispensable role in both military and civilian underwater applications. Despite its importance, accurately estimating DOA under multipath conditions is challenging due to the proximity of paths in the spatial domain. Current methods struggle with this problem in passive detection scenarios. To address these limitations, this study proposes a deep learning (DL)-based DOA estimation framework leveraging sparse representation. First, the approach models the array covariance matrix as an undersampled linear measurement of the spatial spectrum. Then, a super-resolution deep shrinkage reconstruction network (SDSR-Net) is designed to map the sparse representation of the covariance matrix directly to the DOA. The network integrates a shrinkage module as nonlinear transformation layers, promoting sparsity and enhancing the discrimination of features. Simulations and experimental evaluations validated the effectiveness of the proposed method, showing that the DOA estimation accuracy was significantly improved and able to achieve a resolution of 0.2° in the spatial spectrum. Compared with existing methods, SDSR-Net achieved superior performance by effectively utilizing a sparsity prior, maintaining a high-resolution performance at signal-to-noise ratios higher than −10 dB. This work contributes a robust and efficient solution to DOA estimation challenges in underwater environments. Full article

This article points out the kinematics in tracing a Bézier curve defined by control mass points. A mass point is a point with a non-positive weight, a non-negative weight or a vector with a null weight. For any Bézier curve, the speeds at endpoints can be modified at the same time for both endpoints. The use of a homographic parameter change allows us to choose any arc of the curve without changing the degree but not offer to change the speeds at both endpoints independently. The homographic parameter change performs weighted points with any non-null real number as weight and also vectors. The curve is thus called a rational Bézier curve with control mass points. In order to build independent stationary points at endpoints, a quadratic parameter change is required. Adding null vectors in the Bézier representation is also an answer. Null vectors are obtained when converting any power function in a rational Bézier curve and their inverse. The authors propose a new approach on placing null vectors in the representation of the rational Bézier curve. It allows us to break free from projective geometry where there is no null vector. The paper ends with some examples of known curves and some perspectives. Full article

Background/Objectives: Metastatic colorectal cancer (mCRC) is mainly treated with 5-Fluoro-Uracil (5-FU), Oxaliplatin and Irinotecan chemotherapies and anti-Epidermal Growth Factor Receptor (EGFR) or anti-Vascular Endothelial Growth Factor (VEGF) targeted therapies. Due to chemotherapy-related toxicity, patients receive induction treatment to achieve tumour response followed by maintenance therapy with less cytotoxic molecules or a chemotherapy-free interval to reduce chemotherapy-related toxicity. In this study, the aim was to determine the patient, cancer and treatment factors that influence the duration of maintenance therapy (DMT). Methods: We collected retrospective data on a cohort of 133 patients treated at the Centre Georges François Leclerc (CGFL) cancer centre in Dijon between March 2014 and June 2022. Patients had unresectable or potentially resectable diseases. They received first-line induction treatment with chemotherapy and/or targeted therapy and maintenance treatment, defined as the interruption of at least one chemotherapy agent. Results: In the multivariate analysis, age (HR: 1.02, 95% CI 1.00–1.04, p = 0.031), N2 nodal status (HR: 1.78, 95% CI 1.09–2.89, p = 0.021) and the presence of peritoneal metastases (HR: 2.05, 95% CI 1.25–3.36, p = 0.004), as well as baseline carcino-embryonic antigen (CEA) level (HR: 1.10, 95% CI 1.00–1.20, p = 0.052), were significantly associated to poor DMT. Local treatment of liver metastases also significantly reduced the DMT (HR: 0.49, 95% CI 0.28–0.86, p = 0.013). In our cohort, induction triplet chemotherapy significantly increased the CEA delta (70% vs. 44%, p = 0.047) compared to doublet chemotherapy and led to a higher rate of liver surgery (40% vs. 21%, p = 0.014) and a trend for a higher rate of local treatment of metastases (62% vs. 45%, p = 0.059). Conclusions: Duration of maintenance therapy is determined by the initial patient and colorectal cancer characteristics. However, it is significantly increased by local treatment of liver metastases. By reducing the tumour burden, a triplet induction chemotherapy regimen increases the rate of liver metastase resection. Full article

Malignant pleural mesothelioma is a neoplasm that is often detected late due to nonspecific symptoms. This study utilized NSG-SGM3 mice to examine interactions between a human-derived mesothelioma reporter cell line (MZT-Luc2-mCherry) and the host’s myeloid compartment. Tumor growth was assessed using optical tomography, while cytokine/chemokine production was analyzed via multiplex assay. Histological and immunohistochemical analyses validated the epithelioid mesothelioma phenotype. In vitro mesothelioma cells secreted factors associated with myeloid cell chemoattraction and functions supporting the previously reported myeloid-biased secretory phenotype. In line with this, post-engraftment analysis revealed increased neutrophil-like Ly6G+ populations and decreased Ly6C+ inflammatory monocytes in the blood of tumor-bearing mice. Significant Ly6G+ cell infiltration was observed in the tumor, while CD11b+ myeloid cells were localized primarily in the tumor periphery. Tumor lysates showed increased levels of neutrophil chemoattractants and G-CSF, suggesting a previously not reported role of neutrophils in mesothelioma progression. This novel model provides a platform for studying mesothelioma–host interactions, focusing on the myeloid compartment. It may also serve as a tool to facilitate the development of new therapeutic strategies targeting myeloid cell-mediated mechanisms in mesothelioma. Full article

Thirteen porcelains assigned to Sèvres factory productions and a few references to the other contemporary factories (Chantilly, Limoges, and Venice) have been studied on-site with a portable X-ray fluorescence (pXRF) spectrometer in order to control the provenance attribution. Characteristic XRF signals of major elements (Si, Ca, K, Pb) and minor/trace (Au, Bi, As, Ti, Co, Cu, Zn, Ni, Y, Zr, Rb, and Sr) elements are compared for the paste, blue mark, various glazed (colored) areas, and gilding. The comparison of peak intensities clearly distinguishes different types of hard- and soft-paste porcelain, made from either similar or distinct raw materials. The analysis of transition elements associated with cobalt identifies three types of cobalt blue and reveals that du Barry-style decoration on certain artifacts was typical of 19th-century production. On-site comprehensive studies of the two famous Etruscan-style breast bowls from Rambouillet Castle dairy, using pXRF and Raman spectroscopy, confirm the use of soft-paste porcelain for the cup and hard-paste for its support, providing detailed information on the use of gold nanoparticles in the burgundy-colored decoration. Full article

This research proposes a comprehensive framework for implementing explainable and transparent artificial intelligence (XAI) sensors in healthcare, addressing the challenges posed by AI “black boxes” while adhering to the European Union (EU) AI Act and Data Act requirements. Our approach combines interpretable machine learning (ML), human–AI interaction, and ethical guidelines to ensure AI sensor outputs are comprehensible, auditable, and aligned with clinical decision-making. The framework consists of three core components: First, interpretable AI model architecture using techniques like attention mechanisms and symbolic reasoning. Second, an interactive interface facilitating collaboration between healthcare professionals and AI systems. And third, a robust ethical and regulatory framework addressing bias, privacy, and accountability. By tackling transparency and explainability challenges, our research aims to improve patient outcomes, support informed decision-making, and increase public acceptance of AI in healthcare. The proposed framework contributes to the responsible development of AI technologies in full compliance with EU regulations, ensuring alignment with the vision for trustworthy and human-centric AI systems. This approach paves the way for the safe and ethical adoption of AI sensors in healthcare, ultimately enhancing patient care while maintaining high standards of transparency and accountability. Full article