Search Results (4,489)

Emerging fungal plant pathogens are significant biotic stresses to crops that threaten global food security, biodiversity, and agricultural sustainability. Historically, these pathogens cause devastating crop losses and continue to evolve rapidly due to climate change, international trade, and intensified farming practices. Recent advancements in diagnostic technologies, including remote sensing, sensor-based detection, and molecular techniques, are transforming disease monitoring and detection. These tools, when combined with data mining and big data analysis, facilitate real-time surveillance and early intervention strategies. There is a need for extension and digital advisory services to empower farmers with actionable insights for effective disease management. This manuscript presents an inclusive review of the socioeconomic and historical impacts of fungal plant diseases, the mechanisms driving the emergence of these pathogens, and the pressing need for global surveillance and reporting systems. By analyzing recent advancements and the challenges in the surveillance and diagnosis of fungal pathogens, this review advocates for an integrated, multidisciplinary approach to address the growing threats posed by these emerging fungal diseases. Fostering innovation, enhancing accessibility, and promoting collaboration at both national and international levels are crucial for the agricultural community to protect crops from these emerging biotic stresses, ensuring food security and supporting sustainable farming practices. Full article

In the context of expanding research on the development of compounds with multiple therapeutic actions, this study aims to consolidate findings from the last decade on new synthetic sulfonamide therapies for managing type 2 diabetes mellitus (T2DM) associated with oxidative stress (OS). The novelty of this synthesis study lies in the synergistic approach of antidiabetic molecular targets with those against oxidative stress, having the sulfonylurea class as a common point. By utilizing international databases, we identified and selected conclusive studies for this review. Promising results have been achieved through dual therapies that combine antioxidants (such as sesame oil, naringin, alpha-lipoic acid, resveratrol, and quercetin) with sulfonylureas (including glipizide, glibenclamide, gliclazide, and glimepiride). Additionally, triple therapies that associated sulfonylureas with other classes of antidiabetic medications have also shown encouraging outcomes. These findings are supported by in vivo tests conducted on experimental laboratory models as well as on human subjects. These recent advancements in synthetic sulfonamide research point to a promising future in diabetes management, especially considering the dual functionalities demonstrated by in vivo studies—specifically, their antidiabetic and antioxidant effects. Moreover, the synergy between sulfonamides and other antioxidant agents represents a beneficial strategy for optimizing future chemical structures, potentially allowing for their integration into personalized treatments aimed at combating T2DM. Full article

Background: Addressing Intensive Care Unit (ICU) patients’ psychological well-being is crucial, yet psychosocial support interventions that can facilitate effective coping, ultimately decreasing stress-related physiological, mental health, and cognitive sequelae, are not currently included in clinical practice guidelines and standards. Objective: To identify and synthesize research evidence on psychosocial support interventions in the ICU, including types of outcomes and measures of effectiveness, and to explore research gaps and barriers to implementation. Method: The review was directed by a protocol based on current guidance for scoping reviews. The quality of studies was assessed using the National Institute for Health and Clinical Excellence. The review focused on articles containing evaluations of psychosocial interventions through an experimental or quasi-experimental design or pretest-posttest comparisons. Databases searched included Medline, CINAHL, PubMed, PsychInfo, and the Cochrane Library. Results: Ten highly heterogeneous studies were identified, encompassing diverse interventions (e.g., relaxation, psychotherapy, spirituality, and positive suggestions) and patient populations. Across the 10 studies, no intervention type was replicated, and most samples were small and quasi-experimental, limiting internal validity and preventing quantitative synthesis. Despite these limitations, the evidence reviewed supports that various psychosocial interventions, including positive suggestions (constructive, reassuring thoughts), relaxation techniques, psychotherapy (emotional, behavioral guidance), and spiritual and/or religious support can alleviate psychological sequelae, such as depression, anxiety, and Post Traumatic Stress in ICU patients. Conclusions: This review highlights the positive impact of psychosocial interventions on alleviating psychological distress in ICU patients. However, a critical gap exists in understanding their effects on other clinical and physiological outcomes, necessitating comprehensive research. Full article

Crustaceans are particularly sensitive to copper toxicity, and although the downstream effects of increased copper exposure on the metabolome are often postulated and observed, they are rarely measured. To perform absolute quantification of hydrophilic small-molecule metabolites in the hemolymph of the crustacean Cancer borealis, we derivatized targeted metabolites related to copper toxicity using in-house-developed isotopic N,N-dimethyl leucine (iDiLeu) tags. Selected analytes were pooled at previously determined concentrations to serve as internal standards, and a calibration curve was generated. The sample loss was minimized by optimizing the derivatization-assisted sample cleanup using dispersive liquid–liquid microextraction (DLLME) and hydrophilic–lipophilic balancing (HLB). Calibration curves were then used for the absolute quantification of metabolites of interest following 30 min, 1 h, and 2 h exposures to 10 µM CuCl₂. We found that glutamic acid was downregulated after 2 h of copper exposure, which may disrupt cellular metabolism and increase oxidative stress in crustaceans. These changes could have significant impacts on crustacean populations and the ecosystems they support. Full article

An abdominal aortic aneurysm (AAA) poses a significant risk of arterial wall rupture, which critically endangers the patient’s life. To address this condition, an endovascular aneurysm repair (EVAR) is required, involving the insertion and expansion of a stent-graft within the aorta, to support and isolate the weakened vessel wall. In this context, this article aims to approach the problem from a mechanical perspective and to simulate the expansion and deployment procedure realistically, utilizing the Finite Element Analysis (FEA). The process initiates with the computation evaluation of the aortic structure in order to identify critical regions of stress and strain in an aneurysmatic aortic region. Then, a customized 3D-designed stent graft model was developed for the aorta and positioned properly. Applying all the necessary boundary conditions, a complex nonlinear FEA was conducted until the stent-graft expanded radially, reaching a final diameter 25% larger than the aorta’s vessel wall while withstanding mean stress and strain values close to 400 MPa and 1.5%, respectively. Finally, the mechanical behavior of the stent-graft and its interaction with the internal aortic wall, during the expansion process, was evaluated, and the extracted results were analyzed. Full article

Plants grow, develop, and reproduce within a rhythmic environment. Environmental cues—such as light, temperature, nutrition, water—initiate, sustain, or terminate basic physiological processes within the plant, such as photosynthesis, respiration, nutrient uptake, water management, transpiration, growth, and hormone regulation. Simultaneously, inside the plant, internal “living clocks” are ticking and helping plants to synchronize internal processes with environmental cues and defend themselves against stressful conditions. These clock-regulated processes underlie a variety of plant traits, such as germination capability, growth and development rate, time of flowering, fruiting and yielding, development of plant shape, and size and biomass production. Most of these physiological traits are important attributes of crop plants. In recent years, the growing understanding of environmental rhythms as environmental cues and the mechanisms underlying plant internal clocks has begun to play an increasingly important role in agricultural practices. This is an emerging area of research that integrates insights from chronobiology with practices in plant agriculture. In this review, this new research area is studied and mapped using Scopus, Web of Science, Google Scholar, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA protocol), and VOSviewer1.6.20 software. The analyses were carried out on 18 July–27 August 2025. For the VOSviewer author keywords co-occurrence analysis, all 1022 documents covering the time range of the last 7.5–2.5 years (2018–July 2025) were included and three maps were generated. Additionally, 59 review documents covering the last 27 years (1988–July 2025) were extracted by relevance using Google Scholar. In this review, recent advances and topics in plant chronobiology were examined. The issue of how these advances respond to key challenges in plant agriculture was explored. The bidirectional influence between chronobiology and practices in plant agriculture were also considered. Full article

The design of cycloidal reducers requires a detailed knowledge of the intensity and character of load, as well as the maximum von Mises stresses on critical components. In the available literature, the load distribution and the stress–strain state of the cycloidal reducer elements are typically determined based on factors such as cycloidal disc tooth profile modifications, contact deformations, and internal clearances, whereas the influence of thermal stresses is most often neglected. To address this research gap, an innovative numerical–analytical methodology has been developed, which, for the first time, enables the prediction of the distribution of temperature fields and the quantification of the influence of temperature on the contact forces and the stress–strain state of key elements of the cycloidal reducer. Furthermore, the proposed methodology can be adapted for application within a broader context of mechanical engineering. From a practical perspective, it is expected to be beneficial to companies engaged in the design of power transmission gearboxes, as valuable practical guidelines for engineering applications are provided. This study also provides new insights into the dominant sources of heat generation and offers a clearer understanding of how thermal energy is transferred from internal heat sources to the outer surface of the housing. Full article

Background: During the COVID-19 pandemic, nurses faced enormous emotional challenges and profound physical fatigue, as well as constant concerns about whether they would receive genuine support in the workplace. Objectives: This study aimed to assess the long-term impact of the COVID-19 pandemic on the mental health of nurses and to identify key challenges, coping strategies and needs for institutional support. Methods: It was conducted in Albania and followed a mixed-methods design in two interconnected phases, using a mixed-methods approach. Phase I included a quantitative survey of 288 nurses from regional hospitals in Fier and Vlora using a structured questionnaire covering five domains: workplace challenges, stress and work–life balance, health effects and burnout, coping mechanisms, and suggestions for improvement. Data were analyzed using descriptive statistics. Phase II consisted of a reflective seminar with 47 nurses selected from the initial sample. Participants shared their post-pandemic experiences, coping strategies, and proposals for improving mental well-being. SWOT analysis was used to structure the reflections and identify internal and external factors influencing nurses’ mental health. Results: The results showed that nurses continue to face high workload, insufficient psychological support, and that 37.5% reported their work–life balance had worsened since the pandemic (21.9% sometimes; 15.6% most of the time). Participation in the reflective seminar had a positive impact on increasing professional awareness. Conclusions: These findings highlight the need for structured and sustainable interventions within healthcare institutions to protect and promote nurses’ mental health in post-crisis contexts. Full article

Understanding the relationship between work stress and job satisfaction is crucial for promoting employee well-being and also for sustainable organizational performance. This study proposes and validates, within the population of employees in Serbia, the Stress Symptoms Survey (SSS), an 18-item instrument for measuring physical and psychological symptoms of work-related stress. The scale shows strong internal consistency where a general factor is highly saturated with all survey items. Regression analysis indicated that lack of organizational support was the strongest predictor of lowered job satisfaction, followed by stress symptoms and general job stress; job pressure showed a positive association with job satisfaction when other stressors were controlled. These results highlight the practical value of the SSS and underscore the crucial role of supportive work environments in mitigating stress, enhancing satisfaction and achieving sustainable work performance. Full article

Racetrack NbTi superconducting coil is a key component in Maglev train systems due to its excellent mechanical processing performance and lower construction cost. However, dynamic pressures during high-speed operations can influence contact pressures and cause internal filament damage, leading to critical current degradation and quench, which threaten the stable operation of the superconducting magnet. Considering that the NbTi coil has a typical hierarchical structure and comprises thousands of filaments, this study constructs an efficient multiscale framework combining the finite element method (FEM) and self-consistent clustering analysis (SCA) to study the multiscale responses of the NbTi coil. The mechanical responses of the two-scale racetrack coil under monotonic and periodic pressures are investigated, and the effects of the friction contacts between strands are also discussed. The study reveals that internal contacts significantly influence local contact pressures and microscopic stresses, and periodic loading leads to stress accumulation with cycle times. The proposed framework efficiently captures critical microscale responses and can be applied to other multiscale materials and structures. Full article

The optical force exerted on a dipole particle can be divided into gradient force, scattering force, and spin–curl force, all of which can be derived from Maxwell’s stress tensor with the dipole approximation. Here, we identify an additional spin–curl force for arbitrary objects beyond the dipole approximation, which is named the generalized spin–curl force in this paper. The generalized spin–curl force originates from the Minkowski force density and depends on the imaginary parts of the permittivity, permeability, and chirality of the object. However, it remains imperceptible in conventional optical force calculations due to its exact cancellation by a compensatory surface force during MST surface integration. The study of the generalized spin–curl force provides critical insights into elucidating the mechanisms underlying optical momentum transfer and internal force distribution within complex media. Furthermore, the generalized spin–curl force offers a novel mechanism for enhancing optical sensors, enabling highly sensitive detection of absorptive or chiral perturbations in systems such as microcavities and metasurfaces. Its ability to manipulate internal force distributions also provides new pathways for advancing optical force probes and chirality-selective sensing at the nanoscale. Full article

Background/Objectives: For runners competing abroad in sports events, the hours before a race are marked by heightened psychological tension, where even food choices can feel crucial to success. While pre-race nutrition is often addressed in terms of physiological needs, little is known about the inner psychological processes that accompany food decisions in unfamiliar cultural and environmental contexts. This study explores the inner dialogues, anxieties, and coping mechanisms of international runners facing the question of whether and what to eat before competition. Methods: A qualitative study was conducted with twelve international participants (from the United Kingdom, Germany, and Ukraine) of the Poznan Half Marathon 2025. Data were collected through semi-structured in-depth interviews. Participants possessed a minimum of two years’ experience competing in international events. Results: Three thematic areas were identified: (1) anticipatory anxiety and fear of making nutritional mistakes before the race, (2) internal negotiation between prior nutritional knowledge and situational trust, and (3) ritualization and individualized norms as fundamental mechanisms of psychological regulation. These themes influenced how runners experienced pre-race nutrition, shaping their emotional states, decision-making processes, and coping strategies in the context of international competition. Conclusions: Pre-race nutrition decisions are deeply embedded in emotional and cognitive landscapes shaped by stress, cultural context, and individual history. Recognizing these inner dynamics can help coaches, sports nutritionists, and event organizers better support the psychological well-being of traveling athletes. Full article

The livestock sector in Serbia has been experiencing a prolonged period of structural and economic challenges, characterized by decreasing animal numbers, low productivity, and reduced competitiveness in both domestic and EU markets. This study analyses the key structural, technological, economic, and policy factors shaping these trends to provide strategic recommendations for sustainable sector revitalization. The methodology integrates macroeconomic analysis, agricultural economic accounts, and international trade data, applying regression modelling to examine relationships between domestic food prices, exchange rates, and agri-food import volumes. The results indicate that livestock’s share of agricultural gross value added remains below 35%, significantly lower than EU averages, while export quotas remain underutilized and the trade balance for animal products is persistently negative. Contributing factors include fragmented farm structures, outdated production technologies, limited adoption of innovations, demographic decline in rural areas, and insufficient alignment with EU CAP Strategic Plans and Green Deal objectives. Climate change impacts, such as droughts and heat stress, alongside animal disease outbreaks and macroeconomic pressures, further exacerbate these vulnerabilities. The study recommends modernizing production systems through investment in technological upgrades, strengthening farmer organizations and cooperatives, enhancing biosecurity and animal welfare standards, and improving policy frameworks to align with EU sustainability objectives. Emphasis is placed on developing integrated approaches that simultaneously address productivity, economic resilience, and environmental sustainability. Implementing these strategic measures is essential for enhancing food security, supporting rural development, and ensuring Serbia’s successful integration into the EU market as part of a more sustainable and resilient agri-food system. Full article

Fault activity represents a significant geological hazard to buried pipeline infrastructure. The associated stratigraphic dislocation may lead to severe deformation, instability, or even rupture of the pipeline, thereby posing a serious threat to the safe operation of oil and gas transportation systems. This study employs the 3D nonlinear finite element method to systematically investigate the mechanical behavior of buried steel pipes subjected to fault-induced dislocation, with particular emphasis on critical parameters including fault offset, internal pressure, and the diameter-to-thickness ratio. The study reveals that buried pipelines subjected to fault dislocation typically undergo a progressive failure process, transitioning from the elastic stage to yielding, followed by plastic deformation and eventual fracture. The diameter-to-thickness ratio is found to significantly affect the structural stiffness and deformation resistance of the pipeline. A lower diameter-to-thickness ratio improves deformation compatibility and enhances the overall structural stability of the pipeline. Internal pressure exhibits a dual effect: within a moderate range, it enhances pipeline stability and delays the onset of structural buckling; however, excessive internal pressure induces circumferential tensile stress concentration, thereby increasing the risk of local buckling and structural instability. The findings of this study provide a theoretical basis and practical guidance for the design of buried pipelines in fault-prone areas to withstand and accommodate ground misalignment. Full article

This study introduces a novel energy-based inverse method for estimating residual stresses in structures composed of one-dimensional elements undergoing elastic–plastic deformation. The problem is reformulated as a global optimization task governed by the principle of minimum total potential energy. Rather than solving equilibrium equations directly, the internal stress distribution is inferred by minimizing the structure’s total potential energy using a real-coded genetic algorithm. This approach avoids gradient-based solvers, matrix assembly, and incremental loading, making it suitable for nonlinear and history-dependent systems. Plastic deformation is encoded through element-wise stress-free lengths, and a dynamic fitness exponent strategy adaptively controls selection pressure during the evolutionary process. The method is validated on single- and multi-bar truss structures under axial tensile loading, using a bilinear elastoplastic material model. The results are benchmarked against nonlinear finite element simulations and analytical calculations, demonstrating excellent predictive capability with stress errors typically below 1%. In multi-material systems, the technique accurately reconstructs tensile and compressive residual stresses arising from elastic–plastic mismatch using only post-load geometry. These results demonstrate the method’s robustness and accuracy, offering a fully non-incremental, variational alternative to traditional inverse approaches. Its flexibility and computational efficiency make it a promising tool for residual stress estimation in complex structural applications involving plasticity and material heterogeneity. Full article