Search Results (4,229)

Around 85% of all land plants have symbiotic relationships with arbuscular mycorrhizal (AM) fungi, microscopic soil fungi that build extensive filamentous network in and around the roots. These links strongly influence plant development, water uptake, mineral nutrition, and defense against abiotic stresses. In this context, the use of AMF as a biological instrument to enhance plant drought resistance and phenotypic plasticity, through the formation of mutualistic associations, seems like a novel strategy for sustainable agriculture. This review synthesizes current understanding on the mechanisms through which AMF alleviates drought stress in agriculture. We focus on how AMF help maintain nutrient and water homeostasis by modulating phytohormones and signaling molecules, and by orchestrating associated biochemical and physiological responses. Particular emphasis is placed on aquaporins (AQPs) as key water-and stress-related channels whose expression and activity are modulated by AMF to maintain ion, nutrient, and water balance. AMF-mediated host AQP responses exhibit three unique patterns under stressful conditions: either no changes, downregulation to limit water loss, or upregulation to promote water and nutrient uptake. Nevertheless, little is known about cellular and molecular underpinnings of AMF effect on host AQPs. We also summarize evidence that AMF enhance antioxidant defenses, osmotic adjustment, soil structure, and water retention, thereby jointly improving plant drought tolerance. This review concludes by outlining the potential of AMF to support sustainable agriculture, offering critical research gaps, such as mechanistic studies on fungal AQPs, hormonal crosstalk, and field-scale performance, which propose future directions for deploying AMF in drought-prone agroecosystems. Full article

The substantial domain discrepancy inherent in multi-source and multi-view imagery presents formidable challenges to achieving precise drone-based multi-view geo-localization. Existing methodologies primarily focus on designing sophisticated backbone architectures to extract view-invariant representations within abstract feature spaces, yet they often overlook the rich and discriminative frequency-domain cues embedded in multi-view data. Inspired by the principles of $\pi$-Noise theory, this paper proposes a frequency-domain Positive-Incentive Information Screening (PIIS) mechanism that adaptively identifies and preserves task-relevant frequency components based on entropy-guided information metrics. This principled approach selectively enhances discriminative spectral signatures while suppressing redundant or noisy components, thereby improving multi-view feature alignment under substantial appearance and geometric variations. The proposed PIIS strategy demonstrates strong architectural generality, as it can be seamlessly integrated into various backbone networks including convolutional-based and Transformer-based architectures while maintaining consistent performance improvements across different models. Extensive evaluations on the University-1652 and SUES-200 datasets have validated the great potential of the proposed method. Specifically, the PIIS-N model achieves a Recall@1 of 94.56% and a mean Average Precision (mAP) of 95.44% on the University-1652 dataset, exhibiting competitive accuracy among contemporary approaches. These findings underscore the considerable promise of frequency-domain analysis in advancing multi-view geo-localization. Full article

Moringa oleifera, widely recognized as the horseradish tree or drumstick tree, is classified within the Moringaceae family, which comprises 13 species predominantly distributed across tropical and subtropical regions. The plant possesses a variety of therapeutic, nutritional, and beneficial health properties, including its potential to enhance the immune system. The present work provides extensive bibliographic research addressing the chemical composition of Moringa oleifera and its immunomodulatory properties with a focus on the cellular and molecular mechanisms involved in the regulation of immune function, which is crucial in unchecked cell proliferation and metastasis. The chemical composition of Moringa oleifera, including kaempferol, chlorogenic acid, quercetin, and niazimicin, varies between different biological parts of the plant (seeds, leaves, roots, and stems). The presence of these various chemical compounds contributes to the plant’s effect on the immune response via different pathways. Several studies indicate that Moringa oleifera mitigates inflammation by suppressing key pro-inflammatory mediators, such as TNF-α, IL-1β, inducible nitric oxide synthase (iNOS), prostaglandin E2 (PGE-2), and cyclooxygenase-2 (COX-2), while simultaneously enhancing anti-inflammatory mediators through activation of PPAR-γ. Furthermore, the immunomodulatory properties and possible application in health promotion and disease prevention, especially in cancer therapy, are discussed. Studies indicate that Moringa oleifera can modulate the tumor microenvironment (TME) by reducing Treg polarization, enhancing NK cell cytotoxicity, and prompting the proliferation and clonal expansion of CD8⁺ and CD4⁺ T lymphocytes. Together, Moringa oleifera could be considered for the treatment of conditions related to immune dysregulation, such as cancer. Full article

The living lab Enrekang, established in 2019 in South Sulawesi, Indonesia, was created to strengthen rural communication and support collaborative innovation across agriculture, livestock, environment, and extension services. Its flagship initiative, the Digital Farmer Field School (DFFS), was co-designed as a digital tool to improve farmers’ access to practical and locally adapted information. The early phase of collaboration generated strong momentum, culminating in a functional prototype tested with farmer groups by 2022. However, progress slowed soon after, revealing a gap between the initiative’s early promise and its subsequent stagnation. This qualitative case study, conducted between December 2024 and June 2025, draws on document reviews, focus group discussions, semi-structured interviews, and participant observations to analyze how the slowdown emerged and how it altered communication, coordination, and relational expectations among participating actors. Applying the governance-of-innovation lifecycle and a social capital lens, the study shows that political transitions, leadership turnover, staff rotation, and the absence of policy and budgetary anchoring disrupted coordination routines and reduced cross-sector interaction, even as motivation among farmers and frontline staff remained high. The case also highlights the novelty and complexity of the living lab approach, which introduced coordination demands and institutional unfamiliarity that local systems were not yet equipped to absorb. This study contributes to ongoing debates on collaborative innovation by illustrating the vulnerability of living labs when governance arrangements do not evolve alongside innovation milestones. Sustaining similar efforts requires formal anchoring, adaptive coordination, and mechanisms that protect collaboration across political and institutional transitions. Full article

Enterprise Resource Planning (ERP) projects have been the focus of extensive research in recent years. To overcome the challenges associated with these types of projects, one emerging and relatively unexplored stream of research has examined the application of agile project management (APM) in ERP implementation contexts. Despite its growing popularity, APM adoption remains complex, risky, and not yet fully understood. This study focuses on the critical role played by the customer in such projects, as it can either foster or hinder agility. A lack of customer collaboration can often be linked to the customer’s organizational culture (OC). Thus, this study aims to investigate the specific relationship between the customer’s OC and project agility in ERP implementation projects within small- and medium-sized enterprises (SMEs). To conceptualize OC, we adopted the Competing Values Framework (CVF), which distinguishes four cultural types: Clan, adhocracy, hierarchy, and market. Data were collected through an online questionnaire administered to 172 ERP end-users from Canadian SMEs who had participated in their organizations’ ERP implementation projects. The analysis was performed using SmartPLS version 4.1.0.9. The results confirm that customers characterized by a clan, adhocracy, or market culture positively influence project agility, while there was no significant effect of hierarchy culture on project agility. This study addresses several gaps in the literature and offers practical implications. The findings support the idea that vendors should better frame and justify introducing APM in ways that align with each customer’s cultural characteristics within ERP vendor–customer relationships. Full article

The RNA interference machinery is crucial for regulating the activity of both native and foreign genes across all eukaryotes. The core protein families involved in this process are Dicer-like, Argonaute, and RNA-dependent RNA polymerase. However, plants exhibit remarkable diversity within each family and extensively use RNA interference mechanisms in their intricate immune responses. This review examines the role of RNA interference in plant interactions with various pathogens, including viruses, viroids, fungi, oomycetes, and bacteria. Plant diseases cause an estimated $220 billion in annual damage, with microorganisms accounting for approximately $150 billion. Hence, the focus is on the most severe plant diseases, specifically those caused by fungi and viruses. Additionally, recent biotechnological advancements are discussed, with an emphasis on the application of RNA interference for the development of novel plant defence strategies. Full article

Current state-of-the-art (SoTA) instance segmentation models often struggle to accurately segment small and densely distributed vessels. In this study, we introduce MAKSEA, a new satellite imagery dataset collected from the Makkoran Coast that contains small and overlapping vessels. We also propose an efficient and robust segmentation architecture, namely MVSegNet, to segment small and overlapping ships. MVSegNet leverages three modules on the baseline UNet++ architecture: a Multi-Scale Context Aggregation block based on Atrous Spatial Pyramid Pooling (ASPP) to detect vessels with different scales, Attention-Guided Skip Connections to focus more on ship relevant features, and a Multi-Head Self-Attention Block before the final prediction layer to model long-range spatial dependencies and refine densely packed regions. We evaluated our final model with SoTA instance segmentation architectures on two benchmark datasets including LEVIR_SHIP and DIOR_SHIP as well as our challenging MAKSEA datasets using several evaluation metrics. MVSegNet achieves the best performance in terms of F1-Score on LEVIR_SHIP (0.9028) and DIOR_SHIP (0.9607) datasets. On MAKSEA, it achieves an IoU of 0.826, improving the baseline by about 7.0%. The extensive quantitative and qualitative ablation experiments confirm that the proposed approach is effective for real-world maritime traffic monitoring applications, particularly in scenarios with dense vessel distributions. Full article

In the immediate aftermath of the Big Bang, the universe existed in an extremely hot, dense state in which particle interactions occurred not in vacuum but within a thermal medium. Under such conditions, the standard framework of quantum field theory (QFT) requires a finite-temperature extension, wherein propagators—and hence the fundamental structure of the theory—are modified to reflect thermal background effects. These thermal modifications are central to understanding the nature of electroweak symmetry breaking (EWSB) as a high-temperature phase transition, potentially leading to qualitatively different vacuum structures for the Higgs field as the universe cooled. Finite-temperature corrections naturally regulate ultraviolet divergences in propagators, hinting at a possible route toward ultraviolet completion. However, these same thermal effects exacerbate infrared pathologies and can lead to imaginary contributions to the effective potential, particularly when analyzing metastable or multi-vacuum configurations. Additional theoretical challenges, such as gauge dependence and renormalization scale ambiguity, further obscure the precise characterization of the electroweak phase transition—even in minimal extensions of the Standard Model (SM). This review presents the theoretical foundations of finite-temperature QFT with an emphasis on how different field species respond to thermal effects, identifying the bosonic sector as the primary source of key theoretical subtleties. We focus particularly on the scalar extension of the SM, which offers a compelling framework for realizing first-order electroweak phase transitions, electroweak baryogenesis, and accommodating dark matter candidates depending on the underlying ${\mathbb{Z}}_2$ symmetry structure. Full article

Endometrial carcinoma (EC) continues to represent a major cause of gynecologic cancer–related mortality among women worldwide. Its multifactorial etiopathogenesis and underlying molecular heterogeneity have been the focus of extensive investigation. While traditional histological classification provides essential diagnostic insight, it is limited in predicting prognosis and therapeutic response due to significant interobserver variability. Recent advances in molecular biology and cancer genomics have profoundly enhanced understanding of EC pathogenesis. The Cancer Genome Atlas (TCGA) project delineated four distinct molecular subtypes of EC, POLE ultra-mutated, microsatellite instability hypermutated (MSI-H), copy number low (CNL) and copy number high (CNH), each defined by unique genomic alterations, histopathologic features, and clinical behaviors. These molecular groups demonstrate significant prognostic and therapeutic implications, correlating with differential outcomes and treatment responses. This review summarizes current evidence on the genomic landscape of endometrial carcinoma and underscores the pivotal role of molecular classification in improving diagnostic accuracy, prognostic stratification, and personalized therapy. Ongoing research into molecular biomarkers holds promise for refining patient management and optimizing clinical outcomes. Full article

US-affiliated Island nations and territories are home to diverse populations, including substantial Indigenous communities who have extensive exposure to marine and geoscience content, with some of their knowledge sustained through heritage practices. Despite this demographic presence, Indigenous peoples of the Pacific remain notably underrepresented in STEM fields, particularly in the geosciences and marine sciences. Beyond an equity gap in participation, this underrepresentation reflects broader issues of epistemic and representational justice, raising questions about whose knowledge is validated and whose voices are legitimized in scientific spaces. This study examines how Pacific university bridge programs support Indigenous islander participation in authentic STEM research, with particular focus on climate adaptation, environmental change, and marine science contexts. Through qualitative interviews with Micronesian participants in the SEAS (Supporting Emerging Aquatic Scientists) Islands Alliance, we analyzed STEM identity development as students navigated cultural and scientific identities. Findings emphasize the critical importance of sustained, mentored engagement in real-world scientific inquiry that meaningfully connects to ongoing research agendas and community well-being, rather than simulated classroom exercises. The study offers insights into the multifaceted influences affecting student participation and pathways through STEM. Full article

Background/Objectives: Coleus aromaticus (Lamiaceae), also known as Cuban oregano or Indian borage, is a semi-succulent perennial species widely used in traditional medicine for its therapeutic and nutritional properties. While its essential oils and aromatic fraction have been extensively investigated, the characterization of its non-volatile metabolites remains limited. The aim of this study was to explore the chemical composition of fresh leaves with a focus on the non-volatile fraction. Methods: Fresh leaves of C. aromaticus were cryogenically treated with liquid nitrogen, ground, and subjected to three different extraction procedures: hydroalcoholic maceration, ethyl acetate maceration, and liquid–liquid partitioning to obtain a dichloromethane organic phase and a hydroalcoholic phase. Extracts and fractions were analyzed by HPTLC and HPLC for metabolic profiling. In addition, the Bligh–Dyer method was applied to separate polar and non-polar metabolites, which were subsequently characterized using NMR spectroscopy. Results: Chromatographic analyses highlighted the occurrence and distribution of organic acids, polyphenols (notably flavonoids), and proteinogenic amino acids. Spectroscopic data confirmed the presence of diverse polar and non-polar metabolites, providing a more detailed chemical fingerprint of C. aromaticus. This integrated approach broadened the phytochemical profile of the species beyond the well-documented essential oils. Conclusions: The results contribute to a better understanding of the non-volatile metabolites of C. aromaticus, offering novel insights into its chemical diversity. These findings highlight the potential of this plant as a valuable source of bioactive compounds, supporting its future application in nutraceutical and pharmaceutical research. Full article

Background/Objectives: Many studies in the literature are increasingly focusing on how genes influence the development of individual behaviors and personality traits through genome sequencing. Most research indicates that complex behaviors and their characteristics are influenced by multiple genes, highlighting the crucial role of genetic studies in this field. Behavioral genetics, as a scientific discipline, investigates how genetic factors shape individuals’ behaviors and personality traits. The concepts of violence and aggression, observable in various contexts, have been extensively studied, with a particular focus on the underlying causes of these behaviors. In sports, where physical strength plays a significant role, regulations designed to prevent violent behaviors and aggressive attitudes contribute to the establishment of appropriate behavior patterns and discipline. Methods: This study aims to identify correlations between polymorphisms found in athletes and their responses to questionnaires, focusing on candidate genes known to influence personality and behavior traits, such as catechol-O-methyltransferase (COMT), serotonin transporter (5-HTT), monoamine oxidase (MAO-A), and serotonin 1A transporter (5-HT1A). A total of twenty licensed athletes participated in the study. Participants completed three standardized instruments: the Sportsmanship Behavior Scale (27 items), the Sports Emotion Scale (22 items), and the Anger-Control Scale (34 items). Following the acquisition of informed consent, buccal swab samples were collected for single nucleotide polymorphism (SNP) analysis targeting the COMT, MAO-A, 5- HT1A, and 5-HTT genes. Subsequent to sample collection and questionnaire administration, statistical analyses were conducted to evaluate the relationships among behavioral measures and genetic variants. Results: Overall, the findings point to gene-specific patterns in 5-HTT, MAO-A, and COMT, while no clear pattern emerged for 5-HT1A. Conclusions: Ultimately, this study provides an early exploration of aggression-related genetic patterns within the context of forensic sciences, highlighting preliminary trends and potential associations that may inform the design of future research. Full article

Taiwan’s strategic focus in digital healthcare has been officially integrated into national industrial policy and identified as a crucial application area for artificial intelligence (AI) and next-generation communication technologies. As the healthcare sector undergoes rapid digital transformation, digital healthcare technologies have emerged as essential tools for improving medical quality and efficiency. Leveraging the extensive coverage of its National Health Insurance (NHI) system and its strengths in Information and Communications Technology (ICT), Taiwan also benefits from the robust research capacity of universities and hospitals. Government-driven regulatory reforms and infrastructure initiatives are further accelerating the advancement of the NHI MediCloud system and the broader digital healthcare ecosystem. This article provides a comprehensive overview of smart healthcare development, highlighting government policy support and the R&D capabilities of universities, research institutes, and hospitals. It also examines the ICT industry’s participation in the development of smart healthcare ecosystems, such as Foxconn, Quanta, Acer, ASUS, Wistron, Qisda, etc. With strong data assets, technological expertise, and policy backing, Taiwan demonstrates significant potential in both AI innovation and smart healthcare applications, steadily positioning itself as a key player in the global healthcare market. Full article

Background: Digitalisation is transforming medical education, but its integration into ultrasound training remains limited. This study evaluates the needs of students and physicians regarding digitally supported ultrasound education. Materials and Methods: A multi-year cross-sectional study (2017–2022) employed two standardised questionnaires. The first assessed the perceived relevance of ultrasound in medical education, the desirability of compulsory teaching, and the integration of digital media and case-based learning. The second explored user-centred requirements for e-learning formats, including functionality, multimedia design, usability, interactivity, and financing, as well as current use of digital devices and reference materials. Data were collected using dichotomous and 7-point Likert scales (1 = high need/strong agreement, 7 = low need/weak agreement). Results: A total of 3479 responses were analysed (2821 students; 658 physicians). Both groups showed strong support for integrating ultrasound into curricula (1.3 ± 0.7) and mandatory education (1.4 ± 0.9), with students expressing significantly greater support (p < 0.001). There was broad agreement on the integration and development of digital media (1.7 ± 1.0), as well as the use of case studies (1.4 ± 0.8), with no significant differences between groups (p > 0.05). Case-based learning as a stand-alone format was less favoured (3.4 ± 1.9). In the user-centred needs analysis, both groups rated features like search functions (1.4 ± 0.8), usability (1.5 ± 0.9), and learning objective checks (2.7 ± 1.6) as important. High-quality media (1.5 ± 0.9) and pathology explanations (1.6 ± 1.1) were also highly valued. Students primarily relied on digital platforms, while physicians used a more varied mix of digital platforms, guidelines, and textbooks. Conclusions: The study highlights the need for more extensive, digitally supported ultrasound training, with a focus on functionality and usability. Standardisation through structured certification processes should be considered for future implementation. Full article

Bacteria-based cancer immunotherapies are regaining attention due to recent advances in understanding the mechanisms underlying their efficacy, making them promising tools for cancer treatment. Among these, Salmonella stands out as one of the most extensively studied microorganisms in this field. Its ability to directly induce tumor cell death while stimulating the immune system offers unique therapeutic advantages, as cell death within an inflammatory environment may enhance the release of tumor antigens and promote effective antitumor immune responses. Although multiple studies have addressed Salmonella-induced cell death, the nomenclature and classification of death modalities are often inconsistent—either because earlier reports predate the formalization of certain death pathways, or due to overlapping criteria between different types of cell death. This review aims to comprehensively analyze the available evidence on Salmonella-induced apoptosis, pyroptosis and autophagy, as well as other less characterized death modalities. Given that most mechanistics evidence on Salmonella-induced cell death has been generated in myeloid cells, we primarily focus on the myeloid compartment while integrating available observations from tumor cells and other immune populations when relevant, organizing the existing data under current definitions and concepts, and highlighting the challenges of manipulating these pathways to optimize bacterial-based immunotherapies. Full article