Search Results (77,447)

Nano- and micro-indentation have become essential tools for quantifying the micromechanical behavior of rocks beyond traditional macroscopic tests. This review summarizes the historical evolution, experimental methodologies, and interpretation models (e.g., Oliver–Pharr, Doerner–Nix, energy-based methods, Hertz/ECM/Lawn), with a particular focus on rock-specific challenges such as heterogeneity, anisotropy, and surface roughness. A structured literature survey (1980–August 2025) covers representative studies on shale, limestone, marble, sandstone, claystone, and granite. The transition from classical hardness measurements to advanced instrumented indentation has enabled more reliable determination of localized properties, including hardness, elastic modulus, fracture toughness, and creep. Special attention is given to the applicability and limitations of different interpretation models when applied to heterogeneous and anisotropic rocks. Current challenges include high sensitivity to surface conditions and difficulties in capturing the full complexity of natural rock behavior. Looking forward, promising directions involve intelligent systems that integrate AI-driven data analytics, robotic automation, and multiscale modeling (from molecular dynamics to continuum FEM) to enable predictive material design. This review aims to provide geoscientists and engineers with a comprehensive foundation for the effective application and further development of indentation-based testing in rock mechanics and geotechnical engineering. Full article

In recent years, advances in medicine have been evident thanks to technological growth and interdisciplinary research, which has allowed the integration of knowledge, for example, of engineering into medical fields. This integration has generated developments and new methods that can be applied in alternative situations, highlighting, for example, aspects related to post-stroke therapies, Multiple Sclerosis (MS), or Spinal Cord Injury (SCI) treatments. One of the methods that has stood out and is gaining more acceptance every day is Brain–Computer Interfaces (BCIs), through the acquisition and processing of brain electrical activity, researchers, doctors, and scientists manage to transform this activity into control signals. In turn, there are several methods for operating a BCI, this work will focus on motor imagery (MI)-based BCI and three types of acquisition paradigms (traditional arrow, picture, and video), seeking to improve the accuracy in the classification of motor imagination tasks for naive subjects, which correspond to a MI task for both the left and the right hand. A pipeline and methodology were implemented using the CAR+CSP algorithm to extract the features and simple standard and widely used models such as LDA and SVM for classification. The methodology was tested with post-stroke (PS) subject data with BCI experience, obtaining 96.25% accuracy for the best performance, and with the novel paradigm proposed for the naive subjects, 97.5% was obtained. Several statistical tests were carried out in order to find differences between paradigms within the collected data. In conclusion, it was found that the classification accuracy could be improved by using different strategies in the acquisition stage. Full article

This study evaluates the impact of Generative AI (Artificial Intelligence) algorithms on human decision making in complex problem-solving tasks. Rather than assessing the algorithms in isolation, we focus on how their use shapes three critical cognitive components of decision making: analytical thinking, creative thinking, and systems thinking. In an experimental setting, student participants were randomly assigned to solve management consulting cases either with or without access to an AI algorithm. Their solutions were evaluated using a structured rubric that captures sub-skills across the three cognitive dimensions. The results of this exploratory study reveal that AI-supported participants achieved stronger outcomes in logical reasoning, structuring, and problem definition, but showed weaknesses in novel idea generation, multidisciplinary integration, and critical rejection of unsupported conclusions. These findings highlight how algorithmic support influences the configuration of human cognitive processes in decision making. Full article

Calcium (Ca²⁺) signaling regulates a wide range of processes in the heart, from contractility and excitability to energy supply and cell growth. Consequently, Ca²⁺ signaling plays a critical role in cardiac adaptation to both physiological and pathophysiological stress. This review examines the role of Ca²⁺ signaling in the heart’s physiological adaptation to pregnancy and its pathological maladaptation in diabetes. We focus on Ca²⁺-dependent mechanisms involved in hypertrophy, energy imbalance, and electrical remodeling in these two conditions, highlighting shared signaling pathways, functional outcomes, and key knowledge gaps. A deeper understanding of these mechanisms could reveal novel therapeutic targets to improve cardiac health in pregnancy and diabetes. Full article

Mammalian metallomics, an advanced interdisciplinary field, explores the dynamic roles of metal elements within biological systems and their significance to life processes. While prior reviews have broadly covered metallomics across different systems, this review narrows the focus to mammals, offering new insights into the physiological roles of metal elements, their complex absorption and transport mechanisms, and their intricate associations with diseases. We summarize the characteristics and applications of common metal detection technologies and elaborate on the dynamic landscape of the mammalian metallomics across different tissues and life stages. Furthermore, we elaborate on the physiological functions of the metals from three perspectives, metal-binding proteins, metal ions, and gut microorganisms, and highlight the potential of metallomics in clinical translation, including its diagnostic and therapeutic implications, alongside future directions centered on multi-omics integration. Overall, this review introduces several common metallomics technologies and synthesizes the findings of mammalian metallomics research from multiple perspectives, offering new insights for future related studies. Full article

This paper examines the high-frequency impact of tariff rhetoric on financial markets, a topic largely unexplored in existing literature. Unlike previous studies that focus on the long-term, macroeconomic effects of enacted trade policies, our research utilizes a novel, sentiment-based proxy variable for non-legislated tariff announcements. We demonstrate that political communication itself—not just formal policy changes—is a potent source of investor uncertainty and market volatility. Our analysis, employing a multi-model framework including VAR and EGARCH models, reveals several key findings. We find that trade-related shocks contribute significantly to market volatility by altering investor expectations and increasing perceived risk. A key discovery is a unique unidirectional causality where shocks to the S&P 500 preceded changes in our tariff variable, suggesting that market movements can influence policy rhetoric. Furthermore, our EGARCH analysis uncovers distinct volatility characteristics across asset classes, including an atypical positive asymmetry in the Chinese CSI 300. These results collectively provide robust empirical evidence that tariff rhetoric has a measurable and significant impact on asset prices and disproportionately increases market volatility, highlighting the need for policymakers to consider the financial market implications of their public statements. Full article

The nitric oxide (NO) pathway is a fundamental regulator of vascular tone, myocardial function, and inflammation. In heart failure (HF), especially in advanced stages, dysregulation of NO–soluble guanylate cyclase (sGC)–cyclic guanosine monophosphate (cGMP) signaling contributes to endothelial dysfunction, increased vascular resistance, myocardial fibrosis, and impaired cardiac performance. Chronic inflammation further reduces NO bioavailability, exacerbating HF progression This review synthesizes current knowledge on the role of the NO pathway in HF pathophysiology, with a focus on stable and advanced HF. Special attention is given to patient subgroups with comorbidities such as chronic kidney disease, where modulation of NO signaling may be particularly beneficial. We also evaluate therapeutic strategies targeting NO bioavailability and sGC stimulation. Evidence shows that impaired NO signaling promotes systemic and pulmonary vasoconstriction, elevates ventricular afterload, and worsens cardiac remodeling. Pharmacological agents that restore NO levels or activate downstream effectors such as sGC improve vasodilation, reduce fibrosis, and enhance myocardial relaxation. These effects are especially relevant in advanced HF patients and those with renal impairment, who often exhibit limited responses to conventional therapies. The NO pathway represents a promising therapeutic target in both stable and advanced HF. Modulating this pathway could improve outcomes, particularly in complex populations with multiple comorbidities, highlighting the need for further clinical research and tailored treatments. Full article

Amid growing urban climate uncertainty and complex water demand, conventional standalone rainwater harvesting (RWH) systems often fail to ensure supply reliability and overflow control. Most existing studies focus on single-function building clusters, leaving a gap in understanding how functionally diverse groups with complementary demand patterns can be coordinated. This study addresses this gap by applying an hourly water balance model to compare decentralized and coordinated modes for an integrated RWH system serving a campus and adjacent student dormitories in Kitakyushu, Japan. Five performance metrics were evaluated: potable water supplementation, reliability, non-potable replacement rate, overflow volume, and overflow days. The results show that coordinated operation reduced annual potable supplementation by 14.1%, improved overall reliability to 81.7% (a 9.6% gain over decentralized operation), and increased the replacement rate to 87.9%. Overflow volume decreased by 295 m³ and overflow days by five, with pronounced benefits during summer rainfall peaks. Differential heatmaps further revealed distinct spatiotemporal advantages, though temporary disruptions occurred under extreme events. Overall, the study demonstrates that cross-functional coordination can enhance system resilience and operational stability, while highlighting the need for adaptive scheduling and real-time information systems for broader urban applications. Full article

Sphagneticola trilobata (L.) Pruski has been introduced to many countries due to its ornamental and economic value. However, it has been listed in the world’s 100 worst alien invasive species due to its invasive nature. This species easily escapes cultivation and forms dense ground covers. It reproduces asexually through ramet formation from stem fragments. It also produces a large number of viable seeds that establish extensive seed banks. The movement of stem fragments and the dispersal of seeds, coupled with human activity, contribute to its short- and long-distance distribution. S. trilobata grows rapidly due to its high nutrient absorption and photosynthetic abilities. It exhibits high genetic and epigenetic variation. It can adapt to the different habitats and tolerate various adverse environmental conditions, including cold and high temperatures, low and high light irradiation, low nutrient levels, waterlogging, drought, salinity and global warming. S. trilobata has powerful defense systems against herbivory and pathogen infection. These systems activate the jasmonic acid signaling pathway, producing several defensive compounds. This species may also acquire more resources through allelopathy, which suppresses the germination and growth of neighboring plants. These life history traits and defensive abilities likely contribute to its invasive nature. This is the first review to focus on the mechanisms of its invasiveness in terms of growth, and reproduction, as well as its ability to adapt to different environmental conditions and defend itself. Full article

Circular RNAs are a class of stable non-coding RNAs generated through a back-splicing mechanism. They are now recognized as central players in cell function and are no longer considered byproducts of transcription. CircRNAs regulate gene expression at the transcriptional, post-transcriptional, and translational levels by interacting with various molecules. They act as sponges for miRNAs and proteins, molecular scaffolds, and can also be translated into peptides. Although advances in next-generation sequencing and PCR methods have improved their identification and quantification, technical and bioinformatic challenges remain. Increasing evidence shows their involvement in cardiovascular diseases such as heart failure, hypertrophy, fibrosis, and atherosclerosis, with protective or deleterious effects depending on the context. Given their presence in biological fluids and extracellular vesicles, they can be considered promising biomarkers, but their therapeutic applications are still under investigation. Future studies including a better understanding of their mechanisms of action, the development of standardized validation methods, and potential clinical applications (prevention, early diagnosis, personalized therapies) in diseases are still needed. This review provides an updated overview of the knowledge regarding circRNAs and their translational role in health and disease with a particular focus on cardiovascular diseases. Full article

Symmetry is an essential characteristic in both solution spaces and cloud task scheduling loads, as it reflects a structural balance that can be exploited to enhance algorithmic efficiency and robustness. In recent years, with the rapid development of 6G networks, the number of tasks requiring computation in the cloud has surged, prompting an increasing number of researchers to focus on how to efficiently schedule these tasks to idle computing nodes at low cost to enhance system resource utilization. However, developing reliable and cost-effective scheduling schemes for cloud computing tasks in real-world environments remains a significant challenge. This paper proposes a method for cloud computing task scheduling in real-world environments using an improved dhole optimization algorithm (IDOA). First, we enhance the quality of the initial population by employing a uniform distribution initialization method based on the Sobol sequence. Subsequently, we further improve the algorithm’s search capabilities using a sine elite population search method based on adaptive factors, enabling it to more effectively explore promising solution spaces. Additionally, we propose a random mirror perturbation boundary control method to better address individual boundary violations and enhance the algorithm’s robustness. By explicitly leveraging symmetry characteristics, the proposed algorithm maintains balanced exploration and exploitation, thereby improving convergence stability and scheduling fairness. To evaluate the effectiveness of the proposed algorithm, we compare it with nine other algorithms using the IEEE CEC2017 test set and assess the differences through statistical analysis. Experimental results demonstrate that the IDOA exhibits significant advantages. Finally, to verify its applicability in real-world scenarios, we applied IDOA to cloud computing task scheduling problems in actual environments, achieving excellent results and successfully completing cloud computing task scheduling planning. Full article

The philosophy of both Immanuel Kant and Karl Jaspers culminates in the motif of faith (the pure practical rational faith and the philosophical faith), but this similarity has received relatively little attention. The paper examines it with specific focus on three questions: First, can it be said that Kant advocates a narrower, morally bound conception of rational faith, while Jaspers holds a broader, existential conception? If so, what is the root of this “narrower”–“wider” distinction? Second, can we take Jaspers as “Kantian existentialist” with regard to his motif of philosophical faith? Third, what do these concepts imply in relation to Christianity? To what extent can philosophical standpoint co-exist with Christian belief? As for the first question, the interpretation shows that rather than narrower–wider, it is more appropriate to use the stricter (Kant)–looser (Jaspers) distinction in the concept of rational faith, that, (second), has in both cases different grounding. Third, contrary to seeming opposition, where Kantian faith tends to overlap with Christian belief while for Jaspers a philosopher cannot be a believer in traditional sense, both get to a “sibling proximity” on the one hand and tension to traditional religion on the other. Full article

Exercise plays a crucial role in promoting overall health by activating molecular pathways that contribute to the prevention and management of chronic diseases, slowing epigenetic aging, improving body composition, and reducing the risk of obesity. In skeletal muscle, these benefits are largely mediated by exercise-induced transcriptional and epigenetic responses. Recent advances in epigenetics have intensified interest in understanding how physical activity influences long-term health and body composition at the molecular level. Epigenetic modifications, which regulate gene expression without altering the DNA sequence, are key mechanisms in this process. Emerging research has provided deeper insights into the processes such as DNA methylation, histone modification, and non-coding RNAs, and their connection to exercise. While numerous studies have demonstrated the influence of exercise on the epigenome, fewer have directly examined how these molecular changes relate to alterations in fat mass, lean body mass, and other components of body composition. This comprehensive review synthesizes the current evidence on the interplay between exercise, epigenetic regulation, and body composition, with a focus on adolescents and adults. We highlight key genes involved in metabolism, fat storage, muscle development, and epigenetic aging, and explore how their regulation may contribute to individual variability in exercise response. Understanding these molecular pathways may provide valuable insights for optimizing exercise interventions aimed at improving health outcomes across the lifespan. Full article

Introduction: Increased exposure to air pollution poses a burden to society and healthcare systems worldwide, with increased risk of morbidity and mortality. Indoor concentrations of air pollutants, such as particulate matter, are a public health concern because they can be present in higher concentrations than outside. Unlike the effects of indoor environmental tobacco smoke (ETS), there is a dearth of research that includes the impact of e-cigarettes on particulate matter concentrations in the home, which is the focus of this study. Method: Participant, household, and sensor information were obtained from 164 lower-income households located in Cornwall, South West of England. Daily sensor readings were obtained for PM_2.5 for one year. Descriptive statistics were used to describe study participant characteristics and health status. Mean indoor averages, median PM_2.5 measurements, and two-tailed tests were used to assess differences in concentrations of PM_2.5. Results: The 164 surveyed households included 315 residents (67% female) with a mean adult age of 57 (22–92). Half of all homes were in the 10% most deprived neighbourhoods in England. Thirty-four per cent of participants were current smokers, and of these 36% have asthma and had seen a doctor in the last year (cf. never smokers 14%, ex-smokers 25%). Mean annual PM_2.5 was highest in smoking households (14.07 µg/m³) and smoking and vaping households (9.18 µg/m³), and lower in exclusive vaping households (2.00 µg/m³) and smoke and vape-free households (1.28 µg/m³). Monthly levels of PM_2.5 fluctuated seasonally for all groups, with the highest recordings in winter and the lowest in summer. Discussion and Conclusion: In this preliminary study, we conducted secondary data analyses using monitoring data from a large health and housing study to assess factors leading to elevated indoor concentrations of particulate matter. Indoor concentrations appeared to be highest in homes where residents smoked indoors. The use of e-cigarettes in the home also appeared to modify concentrations of particulate matter, but levels were lower than in homes with tobacco smoke. We were not able to determine the relationship between smoking and/or vaping indoors and particulate matter, which supports the need for studies of larger sample sizes and more complex longitudinal monitoring. This will help assess the timing and extent of exposures resulting from smoking and vaping indoors, along with a range of other chemical and biological exposures and their corresponding health effects. Full article

Background and objectives: Early recurrence (ER) following curative-intent surgery for pancreatic ductal adenocarcinoma (PDAC) is associated with poor prognosis. Identifying preoperative risk factors for ER is essential for optimizing perioperative strategies. This study aimed to investigate perioperative predictors of ER, with a specific focus on tumor localization. Methods: We retrospectively analyzed 163 patients who underwent R0 or R1 resection for PDAC. ER was defined as recurrence within 6 months postoperatively. Two separate multivariate logistic regression analyses were conducted: one including only preoperative variables, and one including both pre- and postoperative factors. Results: ER occurred in 35.6% of patients and was associated with significantly worse overall survival (median 9 vs. 21 months, p < 0.001) and post-recurrence survival (5 vs. 8 months, p = 0.008). Preoperative ECOG performance status > 0 (OR 3.31, p = 0.013) and CA 19-9 > 208 U/mL (OR 3.18, p = 0.022) were identified as independent predictors of ER. In the postoperative model, tumor localization in the body/tail (OR 3.23, p = 0.035), tumor size > 3.25 cm, lymph node ratio > 0.13, and absence of adjuvant therapy were also significant. Notably, tumor location did not influence overall survival. Conclusions: Tumor localization in the body/tail of the pancreas is independently associated with early recurrence but not overall survival. These findings highlight the importance of incorporating tumor site into preoperative risk stratification and support the consideration of neoadjuvant therapy in select anatomically resectable patients, particularly those with left-sided tumors. Full article