Search Results (149,411)

Background: The wine industry in arid area serves as a crucial livelihood source at the frontiers of anti-desertification and anti-poverty. By making use of a carbon footprint (CF) management system, formerly untapped climate values can be explored, embedded, and cherished to connect rural communities with the global goals of sustainable development. However, the current standards of CF management mainly represent the traditional wine grape growing areas of Europe, Oceania, and North America. Limited study of the arid areas in lower-income regions exists, which offers a kind of potential development knowledge regarding creating climate-related livelihoods. Methods: This paper attempts to construct a cradle-to-gate CF Life Cycle Assessment (LCA) framework based on the prominent emission factors in three GHG emission phases (raw material input, planting management, and transportation) of a wine grape variety, Cabernet Sauvignon (chi xia zhu), planted at the Eastern Foothills of the Helan Mountains in the Ningxia Hui Autonomous Region of China. Results: It is found that viticulture processes (instead of wine-making, bottling, or distribution) account for a larger proportion of GHG emissions in Ningxia. Due to the large amount of irrigation electricity usage, the less precipitation wine producers have, the larger CF they produce. By using organic fertilizer, the CF of Ningxia Cabernet Sauvignon, being 0.3403 kgCO₂e/kg, is not only lower than that of the drier areas in Gansu Province (1.59–5.7 kgCO₂e/kg) of Western China, but it is even lower than that of the Israel Negev Region (0.342 kgCO₂e/kg) that experiences more rainfall. Conclusions: The measurement of CF also plays a role in understanding low-carbon experience sharing. As the largest wine grape production area in China, CF analysis of the Ningxia region and its commercial value realization might practically fill in the knowledge gap for desert areas in developing countries. It is inspiring to know that by applying green agricultural technologies, the viticulture CF can be effectively reduced. For the potential exchanges in global carbon markets or trading regulations under the Carbon Border Adjustment Mechanism (CBAM), positive variations in CF and soil organic carbon (SOC) storage volume need to be considered within financial institutional design to lead to more participation toward SDGs. Full article

Safeguarding patients from emerging infectious diseases demands strategies that prioritise patient well-being and protection. Immunobridging is an established trial methodology which has been increasingly employed to ensure patient protection and provide clinicians with swift access to vaccines. It uses immunological markers to infer the effectiveness of a new drug through a surrogate measure of efficacy. Recently, this method has also been employed to authorise novel drugs, such as COVID-19 vaccines, and this article explores the concepts behind immunobridging trials, their advantages, issues, and significance in the context of COVID-19 and other infectious diseases. Our goal is to improve awareness among clinicians, patient groups, regulators, and health leaders of the opportunities and issues of immunobridging, so that fewer patients are left without protection from infectious diseases, particularly from major pathogens that may emerge. Full article

Unlike the mandatory information that must be provided on a food supplement label, health claims are voluntary. This study assesses the regulatory compliance of omega-3 fatty acid (ω-3-FA) supplement label claims. Of the 97 supplements, 76 (78.4%) carried verbal claims referring to active substance, of which 68 (89.5%) were claims specific to ω-3-FA. According to the European Union Health Claims Registry, 107 claims listed on 59 supplements were authorized, as opposed to nine unauthorized claims on nine supplements. The degree to which claims aligned with regulatory standards, expressed in terms of scores scaled from 0 to 1, was the highest for supplements intended for pregnant women (1), while, in the case of adults, the mean score was 0.76 ± 0.35, and, in case of children, was 0.85 ± 0.27. Statistical analysis revealed a minor tendency for higher health claim scores to be associated with lower product prices. Furthermore, differences in compliance levels across groups of supplements formed according to the country of origin/sources of ω-3-FA/target populations were explored. The main differences were associated with products from Sweden and Italy/fish oil/supplements for pregnant women. A comparison of the daily intake of ω-3-FA provided by the supplement (based on labeled information) with the intake requirements for supplements with claims referring to ω-3-FA, supported 91 claims, five were unsubstantiated, and 11 were missing required data. Supplements also contained mineral- (19 approved) and vitamin-related claims (73, of which 9 were unauthorized). This study’s findings reveal the extent of misuse of labelled information in markets that require pre-market supplement registration. Importantly, the non-compliance of health claims can significantly undermine consumer trust. Full article

Spermatogenesis is an advanced biological process, relying on intricate interactions between somatic and germ cells in testes. Investigating various cell types is challenging because of cellular heterogeneity. Single-cell RNA sequencing (scRNA-seq) offers a method to analyze cellular heterogeneity. In this research, we performed 10× Genomics scRNA-seq to conduct an unbiased single-cell transcriptomic analysis in Hezuo pig (HZP) testis at one month of age during prepuberty. We collected 14,276 cells and identified 8 cell types (including 2 germ cells types and 6 somatic cell types). Pseudo-timing analysis demonstrated that Leydig cells (LCs) and myoid cells (MCs) originated from a shared progenitor cell lineage. Moreover, the functional enrichment analyses showed that the genes of differential expression were enriched in spermatogonia (SPG) and were enriched in the cell cycle, reproduction, and spermatogenesis. Expressed genes in spermatocytes (SPCs) were enriched in the cAMP, cell cycle, male gamete generation, reproductive system development, and sexual reproduction, while growth hormone synthesis, gamete generation, reproductive process, and spermine synthase activity were enriched in Sertoli cells (SCs). Additionally, chemokine, B cell receptor, activation of immune response, and enzyme binding were enriched in macrophages. Our study investigated transcriptional alterations across different cell types during spermatogenesis, yielding new understandings of spermatogenic processes and cell development. This research delivers an exploration of spermatogenesis and testicular cell biology in HZP, establishing the groundwork for upcoming breeding initiatives. Full article

The success of dental implant placement and prosthetic reconstruction relies on sufficient bone volume at the implant site. Contemporary implantology integrates prosthetic planning with implant placement, emphasizing the importance of pre-established prosthetic goals. Guided Bone Regeneration (GBR) techniques have become crucial for bone reconstruction. This study explores the use of custom-made GBR membranes, designed through CAD-CAM technology, in 10 patients with severe bone defects. Patients underwent meticulous preoperative planning, in which digital diagnostic wax-ups and RealGUIDE™ software for implant positioning were used. The custom-made membranes, which were designed based on the individual defects, exhibited successful adaptation. Surgical phases involved membrane placement, bone grafting, and subsequent implant placement. Clinical–radiographic follow-ups demonstrated favorable bone gain outcomes, which enabled prosthetic rehabilitation. Despite membrane exposure occurring in 30% of cases, it did not compromise overall success. The study underscores the potential of custom-made GBR membranes in achieving prosthetic goals, though challenges like exposure and the need for a second surgery require further investigations. The results indicate a promising alternative for predictable bone regeneration in complex cases, shedding light on the prosthetically guided approach for optimal functional and aesthetic outcomes. Full article

This study presents a novel approach to remote speech recognition using a millimeter-wave micro-Doppler radar system operating at 94 GHz. By detecting micro-Doppler speech-related vibrations, the system enables non-contact and privacy-preserving speech recognition. Initial experiments used a piezoelectric crystal to simulate vocal cord vibrations, followed by tests with actual human speech. Advanced signal processing techniques, including short-time Fourier transform (STFT), were used to generate spectrograms and reconstruct speech signals. The system demonstrated high accuracy, with cross-correlation analysis quantitatively confirming a strong correlation between radar-reconstructed and original audio signals. These results validate the effectiveness of detecting and characterizing speech-related vibrations without direct audio recording. The findings have significant implications for applications in noisy industrial environments, enabling robust voice interaction capabilities, as well as in healthcare diagnostics and assistive technologies, where contactless and privacy-preserving solutions are essential. Future research will explore diverse real-world scenarios and the integration of advanced signal processing and machine learning techniques to further enhance accuracy and robustness. Full article

Cardiac involvement in cancer is increasingly important in the diagnosis and follow-up of patients. A thorough cardiovascular evaluation using multimodal imaging is crucial to assess any direct cardiac involvement from oncological disease progression and to determine the cardiovascular risk of patients undergoing oncological therapies. Early detection of cardiac dysfunction, particularly due to cardiotoxicity from chemotherapy or radiotherapy, is essential to establish the disease’s overall prognostic impact. Comprehensive cardiovascular imaging should be integral to the clinical management of cancer patients. Echocardiography remains highly effective for assessing cardiac function, including systolic performance and ventricular filling pressures, with speckle-tracking echocardiography offering early insights into chemotoxicity-related myocardial damage. Cardiac computed tomography (CT) provides precise anatomical detail, especially for cardiac involvement due to metastasis or adjacent mediastinal or lung tumors. Coronary assessment is also important for initial risk stratification and monitoring potential coronary artery disease progression after radiotherapy or chemotherapeutic treatment. Finally, cardiac magnetic resonance (CMR) is the gold standard for myocardial tissue characterization, aiding in the differential diagnosis of cardiac masses. CMR’s mapping techniques allow for early detection of myocardial inflammation caused by cardiotoxicity. This review explores the applicability of echocardiography, cardiac CT, and CMR in cancer patients with extracardiac tumors. Full article

The exploration of ship collision avoidance behavior characteristics can provide a theoretical basis for ship collision risk assessment and collision avoidance decision-making, which is significant for ensuring maritime navigation safety and the development of intelligent ships. In order to scientifically and effectively analyze the characteristics of ship collision-avoidance behavior and to seek the intrinsic connections among ship collision-avoidance behavior feature parameters(CABFPS), this study proposes a method that combines the Apriori algorithm and complex network theory to mine ship collision-avoidance behavior characteristics from massive AIS spatiotemporal data. Based on obtaining ship encounter samples and CABFPS from AIS data, the Apriori algorithm is used to mine the association rules of motion parameters, and the maximum mutual information coefficient is employed to represent the correlation between parameters. Complex networks of CABFPS for different encounter situations are constructed, and network topological indicators are analyzed. Mutual information theory is applied to identify key parameters affecting ship collision- avoidance behavior under different situations. The analysis using actual AIS data indicates that during navigation, the relationships among various parameters are closely linked and prone to mutual influence. The impact of CABFPS on ship collision-avoidance actions varies under different encounter scenarios, with relative distance and DCPA having the greatest influence on ship collision-avoidance actions. This method can comprehensively and accurately mine the correlations between CABFPS and the influence mechanism of parameters on collision-avoidance actions, providing a reference for intelligent ship navigation and the formulation of collision-avoidance decisions. Full article

Erosive rainfall is essential for initiating surface runoff and soil erosion to occur. The analysis on its temporal and spatial distribution characteristics is crucial for calculating rainfall erosivity, predicting soil erosion, and implementing soil and water conservation. This study utilized daily rainfall observation data from 90 meteorological stations in Henan from 1981 to 2020, and conducted geostatistical analysis, M-K mutation test analysis, and wavelet analysis on erosive rainfall to reveal the spatiotemporal distribution characteristics over the past 40 years. Building on this foundation, the correlation between erosive rainfall, rainfall, and rainfall erosivity were further explored. The findings indicated that the average annual rainfall in Henan Province varied between 217.66 mm and 812.78 mm, with an average yearly erosive rainfall of 549.24 mm and a standard deviation of 108.32 mm. Erosive rainfall constitutes for 77% of the average annual rainfall on average, and the analysis found that erosive rainfall is highly correlated with rainfall volume. The erosive rainfall increased from northwest to southeast, and had the same spatial distribution characteristics as the total rainfall. The number of days with erosive rainfall was 20.5 days and the annual average sub-erosive rainfall was 26.86 mm. The average annual rainfall erosivity in Henan Province ranged from 1341.81 to 6706.64 MJ·mm·ha⁻¹·h⁻¹, averaging at 3264.63 MJ·mm·ha⁻¹·h⁻¹. Both the erosive rainfall and the rainfall erosivity are influenced by the monsoon, showing a unimodal trend, with majority of the annual total attributed to rainfall erosivity from June to September, amounting to 80%. The results can provide a basis for forecasting of heavy rainfall events, soil conservation and planning, ecological treatment, and restoration. Full article

In debris-flow disasters, boulders moving at high velocities cause significant damage to houses and other facilities. Through a flume model test, this study explored the influences of the length/width ratio of the boulders, the angle between the long axis of the boulders and the flow direction, and the density of the mudflow on their starting movement. The experimental results indicate that in the process of a mudflow impacting the boulders, the angle between the long axis and the flow direction influences the magnitude of the component forces of the dragging force in the long- and short-axis directions, thus causing the boulders to deviate. Deflection changes the area of action of the debris-flow drag force on the boulder. Once the boulder gains a certain velocity, it deviates toward a state in which the long axis is parallel to the flow direction to reduce the resistance in the movement process. When the long axis of the boulder is parallel to the flow direction, as the mass of the boulder decreases, the efficiency of the mudflow in transferring the velocity of the boulder increases. When there is an angle between the long axis of the boulder and the flow direction, as the angle increases, the area of the drag force and efficiency of the velocity transfer increase. The movement laws of boulders in mudflows are crucial for engineering construction and sustainable development in mountainous areas. Full article

In post-flood disaster analysis, accurate flood mapping in complex riverine urban areas is critical for effective flood risk management. Recent studies have explored the use of water-related spectral indices derived from satellite imagery combined with machine learning (ML) models to achieve this purpose. However, relying solely on spectral indices can lead these models to overlook crucial urban contextual features, making it difficult to distinguish inundated areas from other similar features like shadows or wet roads. To address this, our research explores a novel approach to improve flood segmentation by integrating a row-wise cross attention (CA) module with ML ensemble learning. We apply this method to the analysis of the Brisbane Floods of 2022, utilizing 4-band satellite imagery from PlanetScope and derived spectral indices. Applied as a pre-processing step, the CA module fuses a spectral band index into each band of a peak-flood satellite image using a row-wise operation. This process amplifies subtle differences between floodwater and other urban characteristics while preserving complete landscape information. The CA-fused datasets are then fed into our proposed ensemble model, which is constructed using four classic ML models. A soft voting strategy averages their binary predictions to determine the final classification for each pixel. Our research demonstrates that CA datasets can enhance the sensitivity of individual ML models to floodwater in complex riverine urban areas, generally improving flood mapping accuracy. The experimental results reveal that the ensemble model achieves high accuracy (approaching 100%) on each CA dataset. However, this may be affected by overfitting, which indicates that evaluating the model on additional datasets may lead to reduced accuracy. This study encourages further research to optimize the model and validate its generalizability in various urban contexts. Full article

The ecological transition is leading industry towards the use of materials of natural origin, which are often proposed for food contact materials as a sustainable solution to reduce plastic use. They are perceived as safe by consumers; however, a strict control on potential contaminants able to migrate to food and beverages is necessary to assess safety. Thus, the development of analytical methods for the detection and the identification of potentially occurring harmful substances is strongly encouraged, and the combination of different techniques can be a solution to obtain complementary information. In this work, GC-MS, HPLC-MS, ATR-IR and ESEM have been exploited with the aim of monitoring both volatile and non-volatile compounds, and to control surface composition and morphology. Extraction with solvent and migration experiments with simulants were performed on 11 commercial samples, including plates, caps, and wooden coffee stirrers. Global and specific migration studies were carried out, and possible differences before and after use were explored. Analysis after solvent extraction confirmed the presence of additives, and of Non-Intentionally-Added Substances (NIAS) that were also found in migration studies. Data on morphological characterisation were useful to control the item composition, and to check the stability of the materials after repeated use. Full article

The assembly of plant root microbiomes is a dynamic process. Understanding the roles of root-associated microbiomes in rice development requires dissecting their assembly throughout the rice life cycle under diverse environments and exploring correlations with soil properties and rice physiology. In this study, we performed amplicon sequencing targeting fungal ITS and the bacterial 16S rRNA gene to characterize and compare bacterial and fungal community dynamics of the rice root endosphere and soil in organic and conventional paddy fields. Our analysis revealed that root microbial diversity and composition was significantly influenced by agricultural practices and rice developmental stages (p < 0.05). The root microbiome in the organic paddy field showed greater temporal variability, with typical methane-oxidizing bacteria accumulating during the tillering stage and the amount of symbiotic nitrogen-fixing bacteria increasing dramatically at the early ripening stage. Redundancy analysis identified ammonium nitrogen, iron, and soil organic matter as key drivers of microbial composition. Furthermore, correlation analysis between developmental stage-enriched bacterial biomarkers in rice roots and leaf mineral nutrients showed that highly mobile macronutrient concentrations positively correlated with early-stage biomarkers and negatively correlated with later-stage biomarkers in both paddy fields. Notably, later-stage biomarkers in the conventional paddy field tended to show stronger correlations with low-mobility nutrients. These findings suggest potential strategies for optimizing microbiome management to enhance productivity and sustainability. Full article

Surrogate-assisted evolutionary algorithms (SAEAs) are widely used in the field of high-dimensional expensive optimization. However, real-world problems are usually complex and characterized by a variety of features. Therefore, it is very challenging to choose the most appropriate surrogate. It has been shown that multiple surrogates can characterize the fitness landscape more accurately than a single surrogate. In this work, a multi-surrogate-assisted multi-tasking optimization algorithm (MSAMT) is proposed that solves high-dimensional problems by simultaneously optimizing multiple surrogates as related tasks using the generalized multi-factorial evolutionary algorithm. In the MSAMT, all exactly evaluated samples are initially grouped to form a collection of clusters. Subsequently, the search space can be divided into several areas based on the clusters, and surrogates are constructed in each region that are capable of completely describing the entire fitness landscape as a way to improve the exploration capability of the algorithm. Near the current optimal solution, a novel ensemble surrogate is adopted to achieve local search in speeding up the convergence process. In the framework of a multi-tasking optimization algorithm, several surrogates are optimized simultaneously as related tasks. As a result, several optimal solutions spread throughout disjoint regions can be found for real function evaluation. Fourteen 10- to 100-dimensional test functions and a spatial truss design problem were used to compare the proposed approach with several recently proposed SAEAs. The results show that the proposed MSAMT performs better than the comparison algorithms in most test functions and real engineering problems. Full article

Chronic wounds and injuries remain a substantial healthcare challenge, with significant burdens on patient quality of life and healthcare resources. Mesenchymal stromal cells (MSCs) present an innovative approach to enhance tissue repair and regeneration in the context of wound healing. The intrinsic presence of MSCs in skin tissue, combined with their roles in wound repair, ease of isolation, broad secretory profile, and low immunogenicity, makes them especially promising for treating chronic wounds. This review explores the current landscape of MSC application, focusing on preclinical and clinical data across chronic wounds, diabetic ulcers, burns, non-union bone fractures, lower extremity venous ulcers, pressure ulcers, and genetic skin conditions like epidermolysis bullosa. Special emphasis is given to the mechanisms through which MSCs exert their regenerative effects, underscoring their potential in advancing wound healing therapies and supporting the broader field of regenerative medicine. Full article