Search Results (242)

The increasing complexity and sophistication of cyberattacks have made machine learning (ML) and artificial intelligence (AI) central to modern cyber defense. However, existing surveys typically examine attacks, ML methods, or datasets separately, limiting understanding of how methodological choices align with adversarial behaviours and benchmark availability. This paper presents a systematic literature review (SLR) of AI- and ML-based cyber defense studies published between 2019 and 2025, framed as an ATT&CK-aligned tri-axis synthesis of cyberattacks, machine learning methods, and datasets. Across 99 primary studies, the review maps 312 attack labels to MITRE ATT&CK tactics and techniques, categorises the ML methods applied, and organizes 96 datasets into a refined taxonomy spanning NIDD, IoT-NIDD, malware, Spam and Phishing, ICS, Insider Threat, custom-collected, and other datasets. Rather than treating attacks, ML methods, and datasets as separate descriptive dimensions, the review analyses them jointly through a tri-axis cross-reference framework, enabling the identification of benchmark dependence, methodological concentration, and underexplored attack–method–dataset intersections that are not visible in single-axis or model-centred surveys. The synthesis shows that the literature is strongly concentrated on externally visible attacks associated with Impact, Initial Access, and Execution, that ensemble and deep learning models dominate high-frequency detection settings, and that dataset usage remains heavily skewed toward a small set of public benchmarks, particularly CSE-CIC-IDS2017, UNSW-NB15, and NSL-KDD. This review further identifies persistent blind spots, including limited coverage of post-compromise ATT&CK behaviours, sparse use of ICS and insider-threat datasets, and weak support for multi-stage or multi-dataset evaluation. These findings provide a more focused and actionable evidence base for future ML-based cyber defense research. Full article

Recent evidence suggests that microbiota-derived porphyrins contribute to skin aging, a phenomenon termed porphyr’aging. These pro-inflammatory molecules alter the expression of genes involved in senescence, trigger melanogenesis, and decrease collagen I synthesis in skin. The aim of this study was to evaluate the anti-aging properties of an upcycled Laminaria hyperborea extract (LHE) targeting bacterial porphyrins discovered after screening. The impact of LHE on porphyrin biosynthesis and on melanogenesis and wrinkles was evaluated using in vitro and ex vivo tests and by conducting a double-blinded vs. placebo clinical trial. LHE significantly reduced coproporphyrin III production in Gram-positive skin bacteria and significantly decreased porphyrin levels in vivo at the skin surface. This activity was supported by a specific composition of LHE, comprising laminaran and mannitol. It also significantly decreased melanin content in skin explants and pigmentation in the clinical study (−5.9%). This effect was particularly pronounced in dark spots (ITA +39.9%), and the number of precursor spots also decreased (−6.9%). In addition, LHE significantly stimulated type I α-1 pro-collagen production in fibroblasts and increased collagen I and elastin expression in skin explants. These results were consistent with the clinical study, showing significant reductions in wrinkle number (−9.8%) and area (−5.8%). These findings suggest that targeting microbiota-derived porphyrins and their consequences may represent a promising approach to reduce the visible signs of aging. Full article

Laser-induced acoustic communication is a highly adaptable cross-medium technique that combines the advantages of optical transmission through air and acoustic transmission underwater. However, poor signal stability at high repetition frequencies currently hinders its widespread application. To address this, this paper proposes an innovative scanning focal-point method to enhance stability. Traditional methods such as beam scanning, focus control, and distributed interaction are primarily aimed at enhancing sound pressure in a specific direction, achieving near-field/far-field focusing, or improving the signal-to-noise ratio through coherent synthesis of ultrasonic intensity. In contrast, the method proposed in this paper is intended to avoid the interference of droplets and vapor generated by single-point breakdown under high repetition frequencies, which would otherwise degrade the laser-acoustic conversion efficiency. It is therefore an active defense strategy specifically targeting the stability of laser-induced acoustic communication. First, optical simulation software was used to analyze the effects of surface ripples and bubbles on focal spot displacement and size. Next, a single-pulse experimental system was developed to measure the range and duration of surface depressions caused by optical breakdown. Finally, a scanning focal-point system was constructed for comparative experiments, with results recorded via hydrophones and high-speed cameras. The maximum laser-induced acoustic signal generated by the scanning focal-point method is 7.4 times that produced by single-point breakdown. The experimental results demonstrate that the scanning focal-point method can effectively avoid the influence of water surface disturbance and steam on the optoacoustic conversion efficiency and significantly improve the amplitude and stability of the laser-induced acoustic signal. Full article

Brucellosis is a globally prevalent zoonotic disease affecting both humans and animals. Its nonspecific clinical manifestations often complicate diagnosis, underscoring the need for reliable laboratory confirmation. Traditional serological assays, though widely used, suffer from limitations such as inconsistent sensitivity and false-positive results. To address these challenges, this study mapped IgM and IgG epitopes of the Brucella Omp-2a protein using sera from infected patients. Epitope identification was performed through SPOT synthesis on cellulose membranes, followed by assessment of potential cross-reactivity using peptide database analysis and ELISA validation. Three major IgM and seven IgG linear B-cell epitopes were identified, six of which demonstrated strong reactivity in peptide-ELISA. Importantly, no significant cross-reactivity with proteins from other human pathogens was detected. Two chimeric multi-epitope peptides, composed of 50 and 60 amino acids and integrating Brucella-specific IgM and IgG epitopes, exhibited excellent diagnostic performance in ELISA, achieving near 100% sensitivity and specificity. These findings support the potential of synthetic peptides as reliable and cost-effective alternatives to native antigens in serological assays. Further validation in larger, geographically diverse cohorts will be essential to confirm their diagnostic robustness and facilitate their integration into routine brucellosis diagnostics. Full article

To investigate the effect of sorbitol feeding on immune responses and its underlying mechanism, this study employed crabapple (Malus micromalus), a species native to China, as the experimental material. Detached leaves were subjected to sorbitol feeding experiments, with water feeding as the control. The dynamic changes in lesion area and cell membrane permeability were measured across four groups of leaves following feeding and fungal inoculation, and transcriptome sequencing was performed on these four groups. The results revealed that compared to the control group, leaves fed with sorbitol prior to inoculation exhibited significantly reduced lesion areas and decreased cell membrane permeability. Transcriptome and KEGG pathway analyses indicated that differentially expressed genes were significantly enriched in the phenylpropanoid biosynthesis pathway. HPLC results demonstrated that quercetin and isorhamnetin contents increased significantly after sorbitol feeding, and both compounds were shown to inhibit the mycelial growth of Alternaria alternata, thereby enhancing the disease resistance of crabapple leaves. Among the associated genes, MmF3H1, which regulates the synthesis of quercetin and isorhamnetin, showed the highest level of enrichment. Co-expression trend analysis and qPCR results revealed that MmNAC17 and MmbZIP1 exhibited strong co-expression relationships with MmF3H1 and responded to sorbitol regulation. Functional validation was conducted by constructing overexpression and silencing vectors for MmNAC17/MmbZIP1 and performing transient transformation, thereby elucidating the molecular and biochemical mechanisms underlying the response of M. micromalus to A. alternata. This study provides a theoretical reference for breeding crabapple varieties with enhanced resistance to leaf spot disease. Full article

Integrated care is increasingly shaped by digital infrastructures, data governance, and AI-enabled analytics, yet the relevant literature remains fragmented across health-services research, digital health, and machine learning. This article reports a scoping review, conducted in line with PRISMA-ScR guidance, that maps how integrated care models have evolved conceptually, what digital and AI-enabled infrastructures support them, how their clinical, economic, and equity impacts can be evaluated, and what current implementations imply for sustainable scaling. We searched PubMed, Scopus, Semantic Scholar, and Crossref (retrieval date 31 October 2025; forward screening to 31 March 2026) and added grey literature from named policy bodies. The searches identified 15,189 records, reducing to 11,789 after intra- and cross-source deduplication and grey-literature integration; 620 full texts were assessed and 192 were included in the synthesis. Four domains were synthesised: conceptual foundations of integrated care, AI and multimodal analytics, implementation barriers, and digital-governance foundations. We chart the field using a Type I–V maturity scheme (disease, cohort, whole-system, digital-integrated, learning), benchmarked against the Rainbow, MacColl, EMRAM/AMAM, and NHS ICS models. Most deployments cluster at digitally integrated but only weakly adaptive Type IV; recurrent failure modes—temporal blind spots, maintenance debt, semantic drift, and governance gaps—block progression to Type V, and high-profile clinical-AI failures illustrate the cost of attempting Type V analytics on Type IV-or-worse infrastructure. A walk through nine world regions maps each to its current Type I–V position and shows that organisational and payment integration—not digital sophistication alone—is currently the dominant driver of progress. The COMFORTage Integrated Care Model Library is positioned as a workflow of AI agents orchestrating predictive, preventive, and personalised care across the integrated-care lifecycle rather than as a single federated-learning programme. The review positions AI-enabled integrated care less as a finished model than as an emerging design space requiring longitudinal data assets, stewarded model lifecycles, accountable governance, and outcome-based contracting for clinically useful, equitable, and trustworthy learning systems. Full article

Butterfly wing color patterns are determined in pupal wing tissues, in which the prospective eyespot focus functions as a developmental organizer. Here, we investigated the microscopic structures of pupal wing tissues containing an eyespot organizer in line with the physical distortion hypothesis. Histochemical staining revealed that the pupal cuticle and epidermis were wavy and thin at 6 h but smooth and thick at 12 h postpupation. The eyespot organizer was associated with the thickest cuticle layer, called the cuticle focal spot. Transmission election microscopy (TEM) revealed that the intervening space (IVS) between the cuticle layer and the cellular apical end was wide at 6 h but narrow at 12 h postpupation. The spatial relationship between cuticle thickness and IVS width was indicative of mechanical buckling of the region adjacent to the cuticle focal spot. Live in vivo imaging revealed that the IVS at and near the eyespot organizer trapped orange fluorescent protein (OFP) injected into hemolymph. Dynamic distortions of the pupal wing epidermis and cuticular surface were detected in live individuals over time. These results suggest that physical distortions of the wing tissue induced by differential cuticle synthesis and subsequent buckling may function as mechanical morphogenic signals from eyespot organizers. Full article

Background: Pertussis toxin (Ptx) is a major virulence factor and protective antigen of Bordetella pertussis. Understanding its antigenic landscape is essential for improving vaccine design. This study aimed to compare the linear epitope profiles of Ptx recognized by antibodies from vaccinated children and mice, identifying conserved and species-specific immune targets across subunits S1–S5. Methods: Two libraries of overlapping 14-mer peptides spanning the full-length Ptx sequence were synthesized. Sera from children and mice immunized with the whole-cell pertussis vaccine were analyzed to map antibody-binding regions. Comparative and structural analyses were performed to evaluate epitope distribution and recognition patterns. Results: Murine sera recognized 12 major epitopes, whereas children’s sera identified 24. Eleven epitopes were shared between species, mainly in subunits S1 (Ep3–5, 7, 9, 10), S3 (Ep20, 21, 25, 26), and S5 (Ep32), although minor positional shifts were observed. Eight epitopes were unique to children’s sera, located in S1 (Ep1, 6, 8), S3 (Ep22–24), and S4 (Ep27, 29–30). In the S2 subunit, four distinct epitopes were identified for each species, while only one mouse-specific epitope was detected in S4 (Ep28). Structural analysis revealed non-uniform antibody recognition, with dominant targeting of S3 and conserved antigenic hotspots, as well as selective recognition of the catalytic S1 subunit. Fourteen novel epitopes were identified. Conclusions: These findings highlight both shared and species-specific Ptx epitopes, revealing differences between murine and human immune responses. The identified conserved regions and novel epitopes provide a basis for improved pertussis vaccine design. Full article

The Enzyme-Linked ImmunoSpot (ELISPOT) assay is a highly sensitive and widely used technique for assessing antigen-specific cellular immune responses in cancer research. By enabling the quantification of cytokine secretion at the single-cell level, particularly interferon gamma (IFN-γ), ELISPOT provides a functional readout of T cell activity with applications in both preclinical and clinical settings. This systematic review presents a structured qualitative synthesis of 78 studies investigating the use of ELISPOT in cancer immunotherapy, including cancer vaccines, oncolytic viruses, cellular therapies, immune checkpoint inhibitors, and biomarker development. Studies were selected following PRISMA guidelines from PubMed, Scopus, and Embase, focusing on both clinical and preclinical research with translational relevance. The evidence indicates that ELISPOT is widely used to validate tumor-associated antigens and neoantigens, monitor antigen-specific T cell responses during cancer immunotherapy, including immune checkpoint blockade, cancer vaccines, and adoptive cell therapies, and characterize antigen-specific T cell function. However, only a limited subset of studies establishes direct associations between ELISPOT responses and clinically meaningful outcomes. In addition, substantial variability in assay protocols and reporting criteria limits cross-study comparability and reproducibility. Overall, ELISPOT remains a valuable tool for immune monitoring in cancer research. Still, its implementation as a clinically validated biomarker requires further standardization, prospective validation, and integration with complementary analytical approaches. Full article

Background/Objectives: Dental caries is one of the most prevalent chronic diseases in childhood, disproportionately affecting socially vulnerable populations. This scoping review aimed to analyze the clinical effects of selected minimally invasive materials and approaches, specifically mouthrinses, fluoride varnishes, silver diamine fluoride, and glass ionomer-based interventions, for the prevention and management of dental caries in pediatric patients, with emphasis on public health and community-based settings. Methods: This scoping review followed the Population, Concept, and Context (PCC) framework. Electronic searches were conducted up to 23 January 2026, using tailored strategies for mouthrinses, fluoride varnishes, silver diamine fluoride (SDF), and glass ionomer cements (GICs). Randomized clinical trials (RCTs) were included. Data extraction and qualitative synthesis focused on clinical outcomes and applicability in public health contexts. Results: Fifty-five RCTs were included. Fluoride- or chlorhexidine-based mouthrinses showed potential in controlling cariogenic biofilm, with evidence primarily based on microbiological outcomes. Fluoride varnishes were associated with enamel remineralization and control of early white spot lesions, particularly in supervised programs. SDF was reported to achieve high caries’ arrest rates in cavitated dentin lesions of primary teeth, while its preventive effect on sound surfaces appeared comparable to other fluoride-based interventions. GICs were associated with acceptable clinical performance as pit-and-fissure sealants and in atraumatic restorative treatment. Conclusions: Minimally invasive dentistry (MID) approaches show promise for the prevention and management of childhood dental caries in public health and community-based settings. However, these findings should be interpreted with caution due to the heterogeneity of interventions and outcome measures, the predominance of short-term and surrogate (microbiological) outcomes, and the absence of a formal risk-of-bias assessment. As a scoping review, the synthesis is narrative in nature, which limits the ability to draw definitive conclusions. Further studies with standardized clinical outcomes and longer follow-up are needed to strengthen the evidence. Full article

Structurally complex plasmonic nanoarchitectures represent an emerging class of nanomaterials with properties that extend beyond those of conventional spherical nanoparticles. Their distinctive structural motifs generate dense near field electromagnetic hot spots, expand interfacial surface area, and create biophysical environments at the nano–bio interface that can actively engage cellular signaling networks relevant to neural regeneration and aging. Despite growing interest in these platforms, a systematic, omics-guided synthesis that links nanoparticle structural features to transcriptomic programs and regenerative outcomes has been lacking. In this review, we summarize recent advances in high complexity plasmonic nanoparticle engineering and integrate published omics-based evidence of their cellular effects, organizing the discussion. Across these studies, transcriptomic analyses of nanoparticle treated neural systems consistently highlight three convergent biological themes: mitigation of oxidative stress and activation of antioxidant pathways, suppression of neuroinflammatory signaling, and induction of neuronal developmental and plasticity programs. Collectively, the omics-guided findings synthesized here suggest that structural complexity in plasmonic nanoarchitectures is not merely a synthetic achievement but a tunable determinant of cellular state, with important implications for the rational design of regenerative nanomedicines targeting neurodegenerative diseases and age-related neuronal decline. Full article

Drought stress significantly constrains crop productivity and yield stability. Sorghum (Sorghum bicolor L. Moench), a C4 cereal widely cultivated in arid and semi-arid regions, exhibits high water-use efficiency and remarkable drought tolerance. Understanding both the impacts of drought and the plant’s response mechanisms is essential for enhancing drought resilience in this crop. In this study, physiological changes and differential protein accumulation were analyzed in leaves of the sorghum inbred line BT × 623 under 10% PEG-6000-induced drought stress. The physiological adaptation to drought was characterized by improved water retention and mitigation of oxidative damage through the synergistic action of antioxidant enzymes. Using two-dimensional electrophoresis (2-DE) and MALDI-TOF-TOF mass spectrometry, 43 protein spots were successfully identified, corresponding to 38 unique proteins differentially expressed under osmotic stress. These proteins function in diverse biological processes, including protein synthesis, processing, and degradation; photosynthesis; carbohydrate and energy metabolism; transcriptional regulation; stress and defense; lipid and membrane metabolism; and amino acid metabolism. Proteomic profiling revealed that the coordinated modulation of multiple functional groups, such as those involved in photosynthesis, energy metabolism, transcriptional adjustment, ROS scavenging, and protein turnover, underpins sorghum’s osmotic stress adaptation. These findings provide key insights into the drought resistance mechanisms of sorghum at both physiological and proteomic levels. Full article

The green synthesis of nanoparticles offers a solution to control pesticide-resistant pests while minimizing environmental and health risks. Thrips tabaci is an injurious pest that attacks garlic crops and spreads the Iris yellow spot virus. The present research was performed to evaluate the synergistic effects of silver nanoparticles (AgNPs) synthesized by Teucrium polium with Spinosad against T. tabaci and assess their impact on garlic photosynthetic pigments. The characterization of the prepared nanoparticles was carried out by SEM, XRD, and Malvern zeta sizer. Antimicrobial activity was assessed using microdilution. Photosynthetic pigments were measured with a spectrophotometer after treating garlic cloves with four different concentrations of AgNPs and Spinosad mixture along with positive control (Spinosad) and negative control (tap water). Toxic bioassays were conducted under laboratory, greenhouse, and open field conditions. The results indicate all treatments, except for the 100% AgNPs, resulted in 100% second instar larvae and adult mortality after 72 h in the laboratory. In greenhouse conditions, the 50% Spinosad–50% AgNPs achieved 93.85% larvae mortality, and the 75% Spinosad–25% AgNPs achieved 100% adult mortality after a week. In open field conditions, the combination 50% Spinosad–50% AgNPs showed high efficacy, resulting in 65.97% mortality of larvae and 73.06% mortality of adults after 72 h. This study reveals that AgNPs have active pesticide properties against T. tabaci with minimal environmental and health risks. Full article

To investigate the key role of endophytic fungi in maintaining host adaptability and overall health, endophytic fungi were isolated from healthy root, stem and leaf tissues of Impatiens hawkeri, and the dominant strain FG8 with growth-promoting and antagonistic functions was screened. Strain FG8 was identified as Thelonectria veuillotiana by morphological and molecular biological methods. It exhibited an antifungal rate of 58.57% against Stagonosporopsis cucurbitacearum, the pathogen causing leaf spot disease of I. hawkeri. The broad-spectrum antifungal activity was verified by the plate confrontation method, and FG8 showed inhibitory effects on six common pathogenic fungi, with the highest inhibition rate of 64.5% against Apiospora intestini. Furthermore, strain FG8 displayed remarkable growth-promoting and antagonistic characteristics: it produced indole-3-acetic acid at 12.74 μg/mL, and possessed the abilities of phosphate solubilization, potassium mobilization, nitrogen fixation and siderophore synthesis. Its antagonistic activity was mediated by β-glucanase, amylase, cellulase and pectinase. Meanwhile, FG8 significantly induced the activities of four defensive enzymes in I. hawkeri, including superoxide dismutase (SOD), peroxidase (POD), catalase (CAT) and polyphenol oxidase (PPO). Seed growth-promotion experiments demonstrated that the root length, plant height, fresh weight and dry weight of seedlings in the FG8-treated group were significantly higher than those in the control group. These results indicate that strain FG8 has both growth-promoting and biological control functions, which can provide a potential resource for the biological control of I. hawkeri leaf spot and the development of fungal fertilizers. Its field application effect and mechanism of action need to be further explored. Full article

Background: Emergency triage systems using machine learning traditionally rely on structured tabular data (vital signs), creating a “contextual blind spot” that ignores diagnostic information embedded in unstructured clinical narratives. Hybrid AI models that fuse tabular and text data may improve predictive discrimination, but the magnitude and conditions under which fusion adds value remain unclear. Methods: Five databases (PubMed, Scopus, Web of Science, IEEE Xplore, ACM Digital Library) were searched from 1 January 2015 to 15 December 2025. Eligible studies employed Hybrid AI models integrating structured and unstructured emergency department data with quantitative baseline comparisons. Twenty-five studies (N ≈ 4.8 million encounters) met inclusion criteria. We extracted marginal performance gains (ΔAUC), calibration metrics, and demographic reporting. Synthesis followed SWiM principles with subgroup meta-regression testing our novel “Complexity Gradient” hypothesis. Results: Hybrid models demonstrated superior discrimination compared to tabular baselines, with effect magnitude dependent on clinical task complexity. Low-complexity tasks (tachycardia prediction) showed minimal gains (median ΔAUC + 0.036, IQR: 0.02–0.05), while high-complexity tasks (hypoxia, sepsis) demonstrated substantial improvement (median ΔAUC + 0.111, IQR: 0.09–0.13). Meta-regression confirmed complexity significantly moderated effect size (R² = 0.42, p = 0.003). Only 12% (3/25) of studies reported calibration metrics (Brier scores: 0.089–0.142). Zero studies stratified performance by race/ethnicity; 88% (22/25) failed to report training data demographics. Discussion: The complexity gradient framework explains when multimodal fusion adds predictive value: tasks where diagnostic signal resides in narrative features (temporality, negation) rather than physiological measurements. However, systematic absence of calibration reporting and fairness auditing prevents clinical deployment. Seventy-two percent of studies had high risk of bias in the analysis domain due to retrospective designs without temporal validation. Conclusions: Hybrid triage models show promise for complex diagnostic tasks but require mandatory calibration reporting and demographic performance stratification before clinical implementation. We propose minimum reporting standards including Brier scores, race-stratified metrics, and temporal validation protocols. Full article