Search Results (20,702)

Introduction: Future evolutions of artificial intelligence (AI) will support autonomous surgery, conducted without the need for human decision making and implementation, but we have not yet achieved this level of technology. Presently, the predominant applications of AI in urological surgery are achieved using the tool of computer vision. This review aims to summarise potential intra-operative AI tools for urologists. Method: A systematic search was conducted through Scopus, PubMed, Embase, and Medline by two independent reviewers, with a third to resolve any conflicts. As a rule, only original articles describing the use or potential use of artificial intelligence intra-operatively in urologic surgery were included. A total of 60 articles were reviewed. Key content and findings: There is significant research investigating the ability to diagnose bladder tumours using AI assistance at the time of cystoscopy, with studies showing the ability to also grade tumour based on appearance and differentiate between carcinoma in situ and indeterminate lesions. With the aid of AI, kidney stones can accurately be identified and diagnosed morphologically intra-operatively. Various studies show the ability to overlay 2D and 3D anatomical models on a surgeon’s screen, as well as correctly identify important anatomical landmarks and surgical instruments, with AI support. All types of intra-operative data can be analysed with AI to assess surgeon performance, predict post-operative outcomes such as continence post prostatectomy, and recognise complications such as bleeding and ischemia. Conclusions: AI holds great potential for urologists during surgery to improve safety, diagnostic accuracy, identification of anatomical structures and surgical instruments, assessment of the surgeon for self-evaluation, and prediction of post-operative outcomes. Before the use of AI as an aid during surgery becomes standard practice, more prospective studies are needed to evaluate its real-world application, feasibility, and costs. Full article

Ethiopia is highly vulnerable to the effects of climate change, with the increasing geographic extent, intensity, and frequency of drought. This study aimed to examine how pastoralist communities understand climate change and its impacts. We conducted a qualitative study among pastoral communities in Ethiopia using focus group discussions with community representatives and key informant interviews with human and animal health and agriculture experts. The collected data were analyzed using qualitative content analysis. Participants viewed deforestation and population growth as the main causes of climate change. They found that climate change caused high temperatures, a shortage of rainfall, and drought. These changes affected the environment, food security, and animal health, impacting their livelihoods, health, and social systems. Coping strategies included engaging in new economic activities, environmental recovery attempts, migration, and seeking food aid for survival. They suggested providing food aid, improving access to human and animal health care, and implementing early warning systems at the community level. The pastoralists perceived that climate change destroyed the natural environment, increased food insecurity, and negatively affected social systems and health. Collaborative actions are needed to mitigate these effects, initiate local environmental adaptation mechanisms, enhance water and food security, and improve animal and human health services. Full article

Polycrisis has recently emerged as a term to capture the human predicament, and analyses of the drivers of this have identified causes such as economic growth. However, identification of the fundamental, underpinning causes is needed to effectively mitigate the polycrisis, and human behavioural traits are likely to comprise such fundamental drivers. Specifically, traits that have become maladaptive in the context of modernity are particularly important. We identify three particular maladaptations that are likely the most direct contributors to the polycrisis: warfare; resource overexploitation; and human cognitive biases. A systematic literature review using these maladaptations identified key studies from which behavioural traits underpinning the maladaptations were highlighted. These identified traits form the basis of suggested leverage points in the global system to reduce the likelihood of a polycrisis. Full article

Background/Objectives: Antimicrobial-resistant Staphylococcus aureus is a growing threat to human health for which alternative therapeutic options are needed. In this study, we aimed to evaluate the efficacy of amlodipine (AML) and imipramine (IMI) to treat S. aureus infection in the Galleria mellonella larval model by targeting efflux and biofilms, which are relevant contributors to antimicrobial resistance and virulence in S. aureus. Methods: In-house reared G. mellonella were used in virulence assays to determine the infective dose of two S. aureus strains differing in the expression of norA (gene encoding the native NorA efflux pump). Toxicology assays were conducted to determine the drugs’ LD₅₀ for G. mellonella. Drug efficacy assays were performed to evaluate the potential of amlodipine, imipramine and the control drugs ciprofloxacin (CIP) and enalapril (ENA) to clear S. aureus infection in G. mellonella. Results: Survival analysis defined the infective dose as 1 × 10⁷ CFU/larva for both strains. High LD₅₀ values were determined (CIP: >1000 mg/kg; AML: >640 mg/kg; IMI: 1141 mg/kg; ENA: >1280 mg/kg), revealing a high tolerance of G. mellonella to these drugs. AML at 15 mg/kg and IMI at 100 mg/kg increased the larvae survival by 20% (p = 0.04) and 11% (p = 0.11), respectively, also positively affecting health score indexes. In agreement with the literature, ciprofloxacin at >100 mg/kg promoted larvae survival by >73%. Conclusions: Amlodipine and imipramine show mild potential as new therapeutic options for managing S. aureus infections but are promising as new lead molecules. This study also reinforces G. mellonella as a sustainable, reliable model for drug evaluation. Full article

Total nitrogen (TN) and total phosphorus (TP) are essential indicators for assessing water quality. This study systematically analyzes the spatial and temporal distribution of TN and TP in China’s surface waters and examines the influence of natural factors and human activities on their concentrations. Utilizing data from 1387 monitoring sites (2020–2021) and employing K-means clustering and geographically weighted regression (GWR), we found that the national average concentrations were 3.89 mg/L for TN and 0.096 mg/L for TP. Spatially, higher TN and TP levels were observed in northern regions, coastal areas, and plains compared with southern, inland, and mountainous areas. Notably, TN concentrations reached up to 29.49 mg/L in the Haihe River basin and related plains, while TP peaked at 0.497 mg/L in the southeastern Shandong and northern Jiangsu coastal zones. Temporally, TN levels were approximately 50% higher in winter than summer, whereas TP levels were about 40% higher in summer. Key influencing factors included rainfall, elevation, fertilizer use, and population density, with spatial heterogeneity observed. Rainfall was the primary factor for TN change and the secondary factor for TP change. Soil type positively correlates with TN and TP changes, affecting non-point source pollution. Human activities such as land use, fertilizer application and population density had a significant effect on the nitrogen and phosphorus concentrations, while woodland had a significant impact on the improvement of water quality. The geographically weighted regression analysis showed spatial heterogeneity in the effects of each factor on TN and TP concentrations, and the best fit was at the watershed scale. The findings highlight the need for enhanced control of agricultural runoff, improved sewage treatment, and region-specific management strategies to inform effective water environment policies in China. Full article

Diabetic retinopathy is the most common diabetic complication of the microvasculature and one of the leading causes of acquired vision loss worldwide. Yet, the current treatments for this blinding disease are futile to many diabetics. Accordingly, new biomarkers and therapeutics for diabetic retinopathy are needed. We discovered that STEAP4 (Six-Transmembrane Epithelial Antigen of the Prostate 4) is significantly increased in peripheral blood mononuclear cells of diabetics. STEAP4 expression was gradiently increased from low levels in diabetics without retinopathy to successively higher levels in diabetics with more severe disease. Although the role of STEAP4 in the diabetic retina is unclear, these results provide strong evidence that this metabolic enzyme could be a potential biomarker for diabetic retinopathy progression. Thus, the central goal of this study was to evaluate if this potential biomarker impacts the intrinsic pathologies that lead to the development of diabetic retinopathy. In diabetic mice, STEAP4 was significantly increased and co-localized with 4-Hydroxy-2-nonenal in the Müller glia and photoreceptor layers of the retina. STEAP4 inhibition significantly decreased reactive oxygen species in murine photoreceptor cells, human Müller glia, and retinas of diabetic mice. Administering an intravitreal injection of anti-STEAP4 to diabetic mice halted Occludin degradation in the retinal vasculature. Similarly, anti-STEAP4 treatment of human retina endothelial cells halted cell death mediated by diabetic donor sera. Collectively, our findings provide strong evidence that STEAP4 impacts the intrinsic pathologies that initiate the development of diabetic retinopathy. Suggesting that STEAP4 could be a novel biomarker and clinically relevant therapeutic target for this diabetic complication and blinding disease. Full article

Background/Objectives: Helicobacter pylori is a major contributor to gastric infections; it is prevalent in humans and associated with gastrointestinal diseases. In recent years, the increase in antimicrobial resistance has contributed to the need for alternative approaches, prompting interest in natural products with antimicrobial and antivirulence properties. This study investigated the effect of bioaccessible melanoidins from common and soft bread crust against H. pylori infection. Methods: Melanoidins were extracted using dead-end ultrafiltration, and bioaccessible fractions were obtained through in vitro digestion. The bactericidal effect of melanoidins was assessed at 2% and 4% concentrations over 24 and 48 h. The effect on H. pylori adhesion of 100 μg/mL and 200 μg/mL of gastric and intestinal bioaccessible fractions of melanoidins was evaluated in Caco-2 cells. Results: The bactericidal effect of melanoidins revealed significant efficacy, with a greater effect for soft bread melanoidins. The gastric fractions exhibited a higher inhibitory effect, which is crucial for gastric mucosa, the primary site of H. pylori infection. Both bioaccessible fractions showed anti-inflammatory and antioxidant effects against H. pylori-induced inflammation, particularly in the gastric fractions. This was evidenced by a reduction in interleukin-6 and interleukin-8 release and an enhancement in interleukin-10 release. The observed reduction in reactive oxygen species (ROS) and the maintenance of glutathione levels indicate an improved redox status. Conclusions: This study emphasizes the potential of melanoidins, especially from soft bread, as bioactive compounds against H. pylori, offering insights for future functional food development. Full article

Speech-based communication between users and machines is a very lively branch of research that covers speech recognition, synthesis, and, generally, natural language processing. Speech corpora are needed for training algorithms for human–machine communication, especially for automatic speech recognition and for speech synthesis. Generative artificial intelligence models also need corpora for training for every language implemented. Therefore, speech corpora are constantly being created. In this paper, we discuss how to create high-quality corpora. The technical parameters of the recordings and audio files are addressed, and a methodology is proposed for planning speech corpus creation with an emphasis on usability. The proposed methodology draws the attention of potential creators of speech corpora to often neglected aspects of the corpus creation process. The criteria for a quality assessment of particular components are also discussed. The author recommends not combining all quality metrics into one (or at least allowing users to adjust particular weights), as different users might be interested in different quality components. The presented guidelines lead to obtaining high-quality corpora that meet the needs of their end users and are easy to use. Full article

Several researchers have tried to find relationships between acoustic indices and vocal animal communities to use acoustic indices as a passive monitoring method, as human-derived surveys are expensive, time-consuming, and suffer from observer bias. However, supplanting manual surveys with acoustic indices is a daunting task, considering effective indices for biological monitoring need to differentiate biologically relevant sounds from the broader soundscape, including anthropophony and geophony. The objective of our study was to test how well acoustic indices can be applied to avian community monitoring within a temperate grassland ecosystem in North America. We collected avian community data and calculated six commonly used acoustic indices from recordings in an intact lowland tallgrass prairie in the Central Platte River Valley of Nebraska throughout the avian breeding seasons of 2019–2021. Singular acoustic indices had only weak correlations with all community metrics. However, multivariate models including multiple acoustic indices showed potential for monitoring grassland bird abundance when anthropophony was considered. Fragmented grassland remnants likely experience significant anthropophony that needs to be accounted for when monitoring avian populations. Additionally, multivariate models incorporating several indices may provide a more accurate prediction of avian biophony than individual acoustic indices. Full article

Chinese forests, particularly the coniferous forest ecosystems represented by pines, play a crucial role in the global carbon cycle, significantly contributing to mitigating climate change, regulating regional climates, and maintaining ecological balance. However, pine wilt disease (PWD), caused by the pine wood nematode (PWN), has become a major threat to forest carbon stocks in China. This study evaluates the impact of PWN invasion on forest carbon stocks in China using multi-source data and an optimized MaxEnt model, and the study analyzes this invasion’s spread trends and potential risk areas. The results show that the high-suitability area for PWN has expanded from 68,000 km² in 2002 to 184,000 km² in 2021, with the spread of PWN accelerating, especially under warm and humid climate conditions and due to human activities. China’s forest carbon stocks increased from 111.34 billion tons of carbon (tC) to 168.05 billion tC, but the carbon risk due to PWN invasion also increased from 87 million tC to 99 million tC, highlighting the ongoing threat to the carbon storage capacity. The study further reveals significant differences in tree species’ sensitivity to PWN, with highly sensitive species such as Masson’s pine and black pine mainly concentrated in the southeastern coastal regions, while less sensitive species such as white pine and larch show stronger resistance in the northern and southwestern areas. This finding highlights the vulnerability of high-sensitivity tree species to PWN, especially in high-risk areas such as Guangdong, Guangxi, and Guizhou, where urgent and effective control measures are needed to reduce carbon stock losses. To address this challenge, the study recommends strengthening monitoring in high-risk areas and proposes specific measures to improve forest management and policy interventions, including promoting cross-regional joint control, enhancing early warning systems, and utilizing biological control measures, while encouraging local governments and communities to actively participate. By strengthening collaboration and implementing control measures, the health and sustainable development of forest ecosystems can be ensured, safeguarding the forests’ important role in climate regulation and carbon sequestration and contributing to global climate change mitigation. Full article

Veterinary anaesthesia requires theoretical knowledge and quick decision-making skills. Traditional education may not adequately prepare students, while simulation-based learning enhances engagement and skill development. This study evaluates the effectiveness of a Twine-based web system in improving experiential learning, engagement, knowledge retention, and decision-making skills in veterinary anaesthesia students. Five interactive clinical cases were developed using Twine, simulating realistic anaesthesia scenarios with decision points and gamified elements, such as scoring systems and resource management. These modules were accessible on various devices via the web. Following a workshop for second- to fourth-year students of the Degree in Veterinary Sciences, an anonymous survey assessed the module’s effectiveness. Quantitative data were analysed descriptively, while qualitative feedback was processed through a hybrid AI–human thematic analysis. Out of 849 invited students, 367 responded (42% response rate). Feedback was highly positive; 90.8% found it effective for training, and 97.0% agreed it improved knowledge. User-friendliness was rated as “easy” or “very easy” by 94.6%. Regarding overall satisfaction, 96.7% of students described the workshop as “good” or “excellent”. Some participants suggested improvements in mobile device compatibility and the need for additional resources to understand the concepts better. Twine’s interactive format fosters experiential learning while reducing reliance on live animals, aligning with modern ethical standards. Its accessibility via web and translation-enabled browsers enhances its reach. Future research should examine Twine’s impact on clinical skills retention and adaptability in various educational contexts, providing a flexible approach to veterinary anaesthesia education through gamified learning. Full article

Forests are critical ecosystems that regulate climate, preserve biodiversity, and support human livelihoods by providing essential resources. However, they are increasingly vulnerable due to the growing impacts of deforestation and habitat fragmentation, which endanger their value and long-term sustainability. Assessing forest and deforestation fragmentation is vital for promoting sustainable logging, guiding ecosystem restoration, and biodiversity conservation. This study introduces an advanced approach that integrates the Local Connected Fractal Dimension (LCFD) with near real-time (NRT) land use and land cover (LULC) data from the Dynamic World dataset (2017–2024) to enhance deforestation monitoring and landscape analysis. By leveraging high-frequency, high-resolution satellite imagery and advanced imaging techniques, this method employs two fractal indices, namely the Fractal Fragmentation Index (FFI) and the Fractal Fragmentation and Disorder Index (FFDI), to analyze spatiotemporal changes in the forest landscape and enhance deforestation monitoring, providing a dynamic, quantitative method for assessing forest fragmentation and connectivity in real time. LCFD provides a refined assessment of spatial complexity, localized connectivity, and self-similarity in fragmented landscapes, improving the understanding of deforestation dynamics. Applied to Nigeria’s Okomu Forest, the analysis revealed significant landscape transformations, with peak fragmentation observed in 2018 and substantial recovery in 2019. FFI and FFDI metrics indicated heightened disturbances in 2018, with FFDI increasing by 75.2% in non-deforested areas and 61.1% in deforested areas before experiencing rapid declines in 2019 (82.6% and 87%, respectively), suggesting improved landscape connectivity. Despite minor fluctuations, cumulative deforestation trends showed a 160.5% rise in FFDI from 2017 to 2024, reflecting long-term stabilization. LCFD patterns highlighted persistent variability, with non-deforested areas recovering 12% connectivity by 2024 after a 38% reduction in 2019. These findings reveal the complex interplay between deforestation and landscape recovery, emphasizing the need for targeted conservation strategies to enhance ecological resilience and connectivity. Fractal indices offer significant potential to generate valuable insights across multiple spatial scales, thereby informing strategies for biodiversity preservation and adaptive landscape management. Full article

Common beans are an essential food source worldwide, particularly in developing countries, and are grown in soils poor in selenium (Se), a mineral essential for human health. Adding Se to fertilizers is a promising technique; however, more studies are needed on the efficacy of this technique on common beans. This study aimed to evaluate the biofortification utilizing Se-enriched nitrogen fertilizers on common bean seeds’ agronomic, physiological, and nutritional characteristics. The pot experiment used a randomized block design with five treatments (urea, Se-enriched urea, ammonium sulfate, Se-enriched ammonium sulfate, and without N and Se), four genotypes (BRS Cometa, BRS Estilo, BRSMG Madrepérola and Pérola), and three replicates. The highest seed yield was 28.31 g pot⁻¹ with Pérola genotype fertilized Se-enriched ammonium sulfate. Photosynthetic rates ranged from 30.37 to 39.06 µmol m⁻² s⁻¹ for Pérola and BRSMG Madrepérola, both with Se-enriched ammonium sulfate. The highest seed Se concentration was 11.17 µg g⁻¹, with BRSMG Madrepérola fertilized with Se-enriched urea being 22.02%, 17.64%, and 22.47% higher than BRS Cometa, BRS Estilo, and Pérola, respectively. Se-enriched nitrogen fertilizers boost seed yield and alter physiological responses based on genotypes and Se-fertilizer interactions. Se-enriched fertilizers applied to soil can increase the Se concentration in common beans. Full article

Dietary lipid intake can influence the gut microbiota (GM) and their metabolites, such as short-chain fatty acids (SCFA) and bile acids, which are key mediators of health. The objective is to examine how dietary lipids’ quantity and quality influence the GM and metabolite profiles. A literature review of 33 studies in animals and humans was performed on the effects of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), polyunsaturated fatty acids (PUFAs), trans-fatty acids (TFAs), and sterols on GM composition and gut-derived metabolites. The results show that diets rich in MUFAs, n-3 PUFAs, and short-chain FAs have the potential to enhance beneficial bacteria and metabolites. In addition, trans-palmitoleic acid, conjugated linoleic acid, and phytosterols may also have potentially beneficial effects on GM, but more research is needed. Medium-chain FAs and n-6 PUFAs have variable effects on the GM. Conversely, intakes of high-fat diets, long-chain SFAs, industrial TFAs, and cholesterol disrupt GM balance. In conclusion, animal studies clearly demonstrate that dietary fats influence the GM and related metabolites. Yet, human studies are limited. Therefore, well-designed human studies that consider the whole diet and baseline health status are needed to better understand the effects of dietary lipids on GM. Full article

With the rise in global plastic production and the presence of plastic waste in the environment, microplastics are considered an emerging environmental contaminant. Human exposure and the impact of microplastics on human health are not well studied. Recent studies have observed the presence of microplastics in human tissues and several studies have noted toxicity in in vitro and in vivo mammalian models. We examined the impact of polystyrene nano- and microplastics in increasingly complex intestinal cell models. Using an undifferentiated Caco-2 mono-culture model, we assessed particle association, cytotoxicity, and particle clearance/retention, whereas in differentiated mono- and tri-culture transwell models, we assessed membrane integrity and particle translocation. Only 50 nm and 500 nm particles were internalized in the undifferentiated cells; however, no signs of cellular toxicity were observed at any concentrations tested. Additionally, polystyrene particles had no impact on barrier integrity, but the 50 nm particles were able to cross to the basolateral side, albeit attenuated in the tri-culture model that had a mucus layer. This study reduced some of the variability common to MNPL testing across various in vitro models, but further testing is needed to fully understand the potential effects of human MNPL exposure. Full article