Search Results (2,530)

Today, a number of works are being carried out all over the world to develop data processing and management systems, as well as to apply artificial intelligence and information technologies in the fields of production, science, education, and healthcare. The optimization of the management of socio-economic process systems, and the management and reliability of databases of the digital payment information-based information systems of enterprises and organizations are relevant. This research work investigates the issue of increasing the reliability of information in information systems working with payment information. The characteristics of ambiguous suspicious transactions in payment systems are analyzed, and based on the analysis, preliminary data preparation stages are carried out for the intelligent detection of ambiguous suspicious transactions. Traditional and neural network models of machine learning for the detection of suspicious transactions in payment information management systems are developed, and a comparative analysis is carried out. Furthermore, to enhance the performance of the core LSTM model, an Artificial Bee Colony (ABC) optimization algorithm was integrated for automated hyperparameter tuning, which improved the model’s accuracy and efficiency in identifying complex fraudulent patterns. Full article

The ABCB subfamily, a subset transporter of the ATP-binding cassette (ABC) superfamily, is vital for various plant life processes, especially in the transport of polar auxin and brassinosteroids. Although ABCB transporters have been characterized in diverse plant species, their specific functions in wheat remain largely unexplored. In this study, we identified 99 TaABCB members in wheat and categorized them into four groups based on their conserved domains and phylogenetic relationships. These members were found to be unevenly distributed across all 21 wheat chromosomes. We conducted a comprehensive genome-wide analysis encompassing gene structure, protein motifs, gene duplication events, collinearity, and cis-acting elements. Transcriptome analysis revealed that different TaABCB members displayed distinct expression patterns under phosphate starvation stress. Notably, we discovered that TaABCB7 might play a role in regulating wheat’s phosphate starvation. Crucially, we pinpointed an elite haplotype, H001, of the candidate gene TaABCB7, which has been progressively selected and employed in wheat breeding improvement programs. Overall, this study enhances our comprehensive understanding of TaABCB members and offers a potential gene resource for molecular marker-assisted selection breeding in wheat. Full article

Ahuehuete (Taxodium mucronatum Ten.) is a riparian tree species of significant ecological, cultural, and economic importance, demonstrating remarkable tolerance to prolonged flooding. However, the underlying mechanism of waterlogging adaptation remains unknown. In this study, we determined the physiological traits of the Ahuehuete leaves at 0, 15, 30, and 60 d under waterlogging conditions. The results showed that no significant difference in MDA content occurred between the Ahuehuete leaves subjected to waterlogging and those under well-watered (CK) conditions. In contrast, the contents of osmoprotectants (soluble sugar, soluble protein, and proline) and the activities of antioxidant enzymes (SOD, POD, and CAT) exhibited similar change trends under both waterlogging and CK conditions, despite minor quantitative differences between the two groups. Subsequent comparative transcriptome analysis was performed to investigate the transcriptional characteristics. A total of 3687 DEGs were expressed in all comparisons throughout the waterlogging process, while 2873, 4617, and 2710 DEGs were comparison group specific. KEGG enrichment analysis revealed that DEGs were enriched in various metabolic pathways, such as Plant hormone signal transduction (ko04075), MAPK signaling pathway-plant (ko04016), ABC transporter (ko02010), and Nitrogen metabolism (ko00910). WGCNA also identified key modules associated with physiological traits, simultaneously emphasizing the importance of plant hormone signal transduction and MAPK signal cascade. Overall, our findings revealed physiological and transcriptomic characteristics of the Ahuehuete under waterlogging conditions, and provided new insights to waterlogging adaptation in woody gymnosperm species. Full article

Objectives: This study aimed to elucidate the determinants of interindividual variability in the pharmacokinetics of ibrutinib among healthy Chinese subjects, focusing on the influence of demographic characteristics, dietary conditions, and genetic polymorphisms on CYP enzymes and ABC transporters. Methods: Thirty-two participants were randomly assigned to either a fasting (n = 16) or fed (n = 16) group, each receiving a single 140 mg oral dose of ibrutinib. Plasma concentrations were quantified using a validated UPLC–MS/MS method. Genetic polymorphisms in CYP3A4, CYP3A5, CYP2D6, and ABCG2 were identified by Sanger sequencing. Pharmacokinetic parameters, including apparent clearance (CL/F), maximum plasma concentration (Cmax), area under the plasma concentration–time curve (AUC0-t), and time to maximum concentration (Tmax), were estimated by non-compartmental analysis and statistically evaluated for associations with demographic, dietary, and genetic variables. Results: Food intake significantly affected ibrutinib pharmacokinetics, with postprandial administration resulting in reduced CL/F and increased Cmax and AUC0-t (p < 0.01). Gender differences were also observed, as females exhibited higher CL/F, lower Cmax, and AUC0-t than males (p < 0.05). The CYP2D6 c.100C>T polymorphism significantly decreased CL/F and increased exposure in fasting and male subjects (p < 0.05), but this effect was absent under fed conditions. Conversely, the ABCG2 c.421C>A variant was associated with increased CL/F and decreased AUC0-t (p < 0.05), while other genotypes exerted negligible effects. Conclusions: Ibrutinib pharmacokinetics are significantly modulated by dietary status, gender, and genetic polymorphisms, particularly CYP2D6 c.100C>T and ABCG2 c.421C>A. These findings underscore the importance of integrating pharmacogenetic and physiological factors into individualized dosing strategies to optimize therapeutic efficacy and minimize adverse effects. Full article

Background: Autism Spectrum Disorder (ASD) affects ~1 in 36 children and is increasingly studied as a candidate for non-invasive neuromodulation. Two of the most widely applied modalities are quantitative EEG (QEEG)-guided repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), both targeting the dorsolateral prefrontal cortex (DLPFC). While both have shown promise, questions remain regarding their relative clinical profiles and scalability. Objective: To conduct a within-cohort reanalysis of QEEG-guided rTMS outcomes in paediatric ASD and to contextualise these findings alongside published reports of home-supervised tDCS. Methods: Individual participant data (n = 56, ages 6–17) from a prospective rTMS cohort were reanalysed, focusing on the Social Responsiveness Scale (SRS-2), Autism Diagnostic Observation Schedule (ADOS-2), Aberrant Behavior Checklist (ABC), Repetitive Behavior Scale–Revised (RBS-R), and QEEG biomarkers. Findings were then situated within a narrative synthesis of published paediatric tDCS trials, which consistently report caregiver-supervised feasibility but did not provide raw, baseline-adjusted data suitable for reanalysis. Results: rTMS was associated with large within-cohort improvements (Hedges’ g ≈ 1.0–1.6), including an 11-point reduction in SRS-2 T-scores, a 12-point reduction in ABC totals, and robust QEEG normalisation (β/γ suppression, α enhancement). Published tDCS studies report moderate, clinically meaningful improvements in social communication, executive functioning, and regulation (Cohen’s d ≈ 0.4–0.6), with excellent adherence and no serious adverse events. Conclusions: rTMS produced robust behavioural and neurophysiological improvements within its cohort, while published tDCS trials demonstrate moderate, feasible benefits in home settings. Because of incomplete baseline data and protocol differences, no direct statistical comparison was possible. These findings suggest complementary roles: rTMS as a high-intensity clinic-based intervention, and tDCS as a scalable, family-centred option. A stepped-care framework that combines both modalities should be considered hypothesis-generating only and requires validation in harmonised, randomised controlled trials. Full article

Background/Objectives: Excessive weight gain is a growing concern among people living with HIV (PWH) receiving integrase strand transfer inhibitor (INSTI)-based regimens as first-line antiretroviral therapy (ART), as it may contribute to multimorbidity. The mechanisms driving weight gain in INSTI users are not fully understood but are thought to be multifactorial. This study examines the plasma metabolome associated with weight gain in PWH on INSTI-based regimens. Methods: We conducted a nested case–control study within the randomized clinical trial MICTLAN (NCT06629480). Sixty-six participants were randomized to receive INSTI-based regimens, either bictegravir/tenofovir alafenamide/emtricitabine (BIC/TAF/FTC) or dolutegravir/abacavir/lamivudine (DTG/ABC/3TC), and followed for 18 months. Weight gain >10% relative to baseline was considered a primary endpoint and used as a criterium to categorize cases (n = 28) and controls (n = 38). Anthropometric and clinical measurements, plasma insulin, and metabolomic profiles were assessed at baseline and 18 months post-ART. Plasma untargeted metabolomics was performed using liquid chromatography–mass spectrometry (LC-MS/MS) to identify metabolomic changes linked to weight gain. Bioinformatic tools, including Partial Least Squares Discriminant Analysis (PLS-DA), volcano plots, and KEGG pathway enrichment analysis, were used to analyze plasma metabolomes and identify significant differential metabolites. Results: Weight gain at 18 months in PWH on INSTI-based ART was associated with insulin resistance, as measured by HOMA-IR (OR 3.23; 95% CI 1.14–9.10; p = 0.023), and visceral adipose tissue thickness > 4 cm (OR 4.50; 95% CI 1.60–13.03; 9.10; p = 0.004), and hypertriglyceridemia (OR 3.9; 95% CI 1.38–10.94; p = 0.008). Baseline HIV RNA viral load >50,000 copies/mL (OR 8.05; 95% CI 2.65–24.43; p = 0.0002) was identified as a baseline predictor of weight gain (aOR 6.58 (1.83–23.58); p = 0.004). In addition, accumulation of circulating medium-chain acylcarnitines, indicative of mitochondrial dysfunction, and insulin resistance were linked to weight gain in PWH on INSTI-based regimens after 18 months of therapy. Conclusions: This metabolomic study identified metabolites reflecting mitochondrial dysfunction, dysregulated lipid metabolism, and altered amino acid metabolism as key mechanisms underlying insulin resistance and weight gain in PWH on INSTI-based ART. Full article

Bark beetles depend on detoxifying enzymes to counteract the defensive terpenoids produced by host trees. Insect ABC transporters play a critical role in the detoxification of insecticides and plant secondary metabolites. However, the specific functions of ABC genes in the metabolism of host allelochemicals remain unclear in D. armandi. In this study, we observed that verapamil significantly enhanced the mortality of host allelochemicals in beetles, indicating that ABC transporter genes are involved in the metabolism of monoterpenes by D. armandi. We then sequenced and characterized the full-length cDNAs of three ABCH subfamily genes (DaABCH1–DaABCH3) from D. armandi. Spatiotemporal expression profiling revealed that all three genes were upregulated during developmental transitions (egg to larva and pupa to adult) and tissue-specific enrichment in detoxification-related organs (Malpighian tubules, fat body, and midgut). Additionally, DaABCH3 expression was detected in the hindgut and brain. Furthermore, DaABCH1 and DaABCH2 were significantly induced by treatment with α-pinene and limonene, whereas DaABCH3 was induced by β-pinene and limonene. Importantly, silencing DaABCH1 significantly increased mortality in adults fumigated with α-pinene and limonene. These results strongly suggest that DaABCH1 acts as a key regulator modulating D. armandi’s sensitivity to host plant allelochemicals. This finding provides a conceptual basis for developing novel control strategies against this economically significant forest pest. Full article

The generation of high-quality test cases remains challenging due to combinatorial explosion and difficulty balancing exploration-exploitation in complex parameter spaces. This paper presents a novel Hybrid Artificial Bee Colony (ABC) algorithm that uniquely combines ABC optimization with Simulated Annealing temperature control and adaptive scout mechanisms for automated test case generation. The approach employs a four-tier categorical fitness function discriminating between boundary-valid, valid, boundary-invalid, and invalid values, with first-occurrence bonuses ensuring systematic exploration. Through comprehensive empirical validation involving 970 test suite generations across 97 parameter configurations, the hybrid algorithm demonstrates 68.3% improvement in fitness scores over pairwise testing (975.9 ± 10.6 vs. 580.0 ± 0.0, p < 0.001, d = 42.61). Statistical analysis identified three critical parameters with large effect sizes: MutationRate (d = 106.61), FinalPopulationSelectionRatio (d = 42.61), and TotalGenerations (d = 19.81). The value discrimination system proved essential, uniform weight configurations degraded performance by 7.25% (p < 0.001), while all discriminating configurations achieved statistically equivalent results, validating the architectural design over specific weight calibration. Full article

The mainstream launch of generative AI video platforms represents a major change to the socio-technical system of digital media, raising critical questions about public perception and societal impact. While research has explored isolated technical or ethical facets, a holistic understanding of the user experience of AI-generated videos—as an interrelated set of perceptions, emotions, and behaviors—remains underdeveloped. This study addresses this gap by conceptualizing public discourse as a complex system of interconnected themes. We apply a mixed-methods approach that combines quantitative LDA topic modeling with qualitative interpretation to analyze 11,418 YouTube comments reacting to AI-generated videos. The study’s primary contribution is the development of a novel, three-tiered framework that models user experience. This framework organizes 15 empirically derived topics into three interdependent layers: (1) Socio-Technical Systems and Platforms (the enabling infrastructure), (2) AI-Generated Content and Esthetics (the direct user-artifact interaction), and (3) Societal and Ethical Implications (the emergent macro-level consequences). Interpreting this systemic structure through the lens of the ABC model of attitudes, our analysis reveals the distinct Affective (e.g., the “uncanny valley”), Behavioral (e.g., memetic participation), and Cognitive (e.g., epistemic anxiety) dimensions that constitute the major elements of user experience. This empirically grounded model provides a holistic map of public discourse, offering actionable insights for managing the complex interplay between technological innovation and societal adaptation within this evolving digital system. Full article

Accurate prediction of concrete compressive strength is essential for ensuring structural safety in civil engineering, particularly in road and bridge construction, where inadequate strength can lead to deformation, cracking, or collapse. Traditional non-destructive testing (NDT) methods, such as the Rebound Hammer Test, estimate strength using regression-based formulas fitted with measurement data; however, these formulas, typically optimized via the least squares method, are highly sensitive to initial parameter settings and exhibit low robustness, especially for nonlinear relationships. Meanwhile, AI-based models, such as neural networks, require extensive datasets for training, which poses a significant challenge in real-world engineering scenarios with limited or unevenly distributed data. To address these issues, this study proposes a gradient-boosting artificial bee colony (GB-ABC) algorithm for robust regression curve fitting. The method integrates two novel mechanisms: gradient descent to accelerate convergence and prevent entrapment in local optima, and a point density-weighted strategy using Gaussian Kernel Density Estimation (GKDE) to assign higher weights to sparse data regions, enhancing adaptability to field data irregularities without necessitating large datasets. Following data preprocessing with Local Outlier Factor (LOF) to remove outliers, validation on 600 real-world samples demonstrates that GB-ABC outperforms conventional methods by minimizing mean relative error rate (RER) and achieving precise rebound-strength correlations. These advancements establish GB-ABC as a practical, data-efficient solution for on-site concrete strength estimation. Full article

Human harvesting exerts significant pressure on intertidal ecosystems, yet its impact on community structure remains insufficiently understood. To assess these effects, we investigated macrobenthic communities on Lvhua Island and adjacent islets by integrating ecological surveys, questionnaire data, and Remote Sensing Ecological Indices (RSEI). We analyzed species composition, biomass, density, and diversity indices across seven sampling sites. Results showed distinct spatial variation: the eastern Lvhua Island exhibited higher biomass and density than the west, with the remote Manduishan islet highest and the South of West Lvhua near the pier the lowest. Harvesting hotspots were dominated by Chlorostoma rusticum and Cantharus cecillei, while less-disturbed islets were characterized by Chl. rusticum, Thais luteostoma, and Turbinidae. Economically valuable gastropods showed signs of miniaturization under intensive harvesting. Biodiversity indices correlated with RSEI, and ABC curve analysis indicated moderate disturbance overall, with the greatest impact at the Donglvhua Bridge site. These findings indicate that a daily subsistence harvest of 100–150 kg resulted in a 31.82% decline in the Shannon-Wiener index, altering the community structure. RSEI provides a cost-effective complement to field monitoring and should be integrated into management frameworks to support both ecological conservation and community livelihoods. Full article

Background: Ligusticum chuanxiong Hort. is a well-known traditional Chinese medicinal herb whose clinical application and international trade had been constrained by cadmium (Cd) contamination. However, the molecular mechanisms underlying its response to cadmium stress remained poorly understood. The ATP-binding cassette (ABC) transporter family plays crucial roles in various plant processes, including growth and development, hormone transduction, and stress responses. This study aimed to analyze the ABC transporter genes in L. chuanxiong to better understand their roles during cadmium stress responses. Methods: Genome-wide identification of ABC genes in L. chuanxiong was performed, and transcriptome sequencing of rhizomes under cadmium stress was conducted. Differentially expressed LcABC genes were screened using bioinformatic analysis. Results: A total of 368 LcABC genes were identified. Transcriptome analysis revealed 37 upregulated LcABC genes, which were classified into six subfamilies. Cis-element analysis indicated that their promoters contain hormone-, growth-, and stress-responsive elements. Notably, LcABCG8, LcABCG48, and LcABCG108 contain stress-responsive elements and show close evolutionary relationships with heavy metal-responsive genes such as AtABCC1/2/3 and AtABCG36/40, suggesting that they could be key candidates. qRT-PCR validation of nine LcABC genes confirmed their differential sensitivity to cadmium stress. Conclusions: This study conducted a comprehensive identification of the ABC gene family in L. chuanxiong. By integrating transcriptomic data with systematic bioinformatic analyses, we identified several LcABC transporters that may play important roles in cadmium stress responses. The results provide insights into the molecular mechanisms of ABC transporters in cadmium stress responses in L. chuanxiong and offer strategies for reducing cadmium accumulation. Full article

Background/Objectives: Ankle plantar flexor spasticity after stroke may limit mobility, especially during turning and multi-directional stepping. Evidence on performance differences and measurement properties across spasticity levels is limited. We examined whether performance on the Activities-specific Balance Confidence Scale (ABC Scale), Five Times Sit-to-Stand Test (5xSTS), Figure-of-8 Walk Test (F8WT), and Four-Square Step Test (FSST) differs by spasticity severity, and evaluated test–retest reliability, the intraclass correlation coefficient (ICC), the standard error of measurement (SEM), and the minimal detectable change (MDC). Methods: In an observational cross-sectional comparative study, 54 individuals more than 6 months post-stroke were classified into three groups by the Modified Ashworth Scale (MAS = 0, MAS = 1 − 1+, MAS ≥ 2). Participants completed the ABC Scale, 5xSTS, F8WT, and FSST. One-way analysis of variance with Bonferroni adjustment tested group differences. Reliability was quantified using ICC (2,1); SEM and MDC at the 95% confidence level indexed absolute reliability. Results: No significant differences were found for the ABC Scale or 5xSTS. F8WT and FSST differed by spasticity level (p < 0.05), with poorer performance in the highest-spasticity group versus no spasticity. ICCs were high across assessments. All SEMs were <20% of test–retest means, and all MDCs were <20% of maximum scores. Conclusion: Assessments that require directional change detected differences across spasticity levels, whereas balance confidence and repeated sit-to-stand did not. All measures showed acceptable relative and absolute reliability. Findings support selecting outcomes by spasticity severity and using SEM and MDC as reference values when interpreting change in stroke rehabilitation. Full article

Resistance to conventional anti-tumor drugs is one of the significant challenges in oncology, responsible for treatment failure and patient death. Introduction of the targeted drugs (e.g., small molecule tyrosine kinase inhibitors (TKIs) and monoclonal antibodies) in cancer therapy significantly improved overall survival (OS) and progression-free survival (PFS) rates for selected groups of cancer patients and delayed the progression of advanced forms of human malignancies. However, the development of secondary resistance to the targeted drugs remains an unbeatable obstacle to a successful outcome in the long run, thereby making prognosis unfavorable for cancer patients with advanced, recurrent, and metastatic forms of disease. The review focuses on several mechanisms that regulate cancer resistance to conventional chemotherapies. This includes the upregulation of main types of ABC transporters (e.g., ABCB1, ABCC1, and ABCG2), which provides the efflux of chemotherapeutic agents from cancer cells. Additionally, the activation of diverse DNA damage repair (DDR) pathways, epithelial-to-mesenchymal transition (EMT), and the population of cancer stem cells (CSCs) are also discussed in detail, thereby illustrating the diverse molecular mechanisms of cancer sensitivity to chemotherapies. Recently, several TKIs, including those that were initially developed to specifically target FGFR and VEGFR pathways, have also been reported to exhibit “off-target” effects by interacting with ABC transporters and inhibiting their function. This, in turn, illustrates their potency in retaining chemotherapeutic agents within cancer cells and possessing a chemosensitizing function. Of note, FGFR and VEGFR inhibitors may behave as inhibitors or substrates of ABC transporters, depending on the expression of specific pumps and affinity for them, concentrations, and types of co-administered agents, thereby disclosing the complexity of this scenario. Additionally, the aforementioned RTKI can interfere with the other molecular mechanisms regulating tumor sensitivity to conventional chemotherapies, including the regulation of diverse DDR pathways, EMT, and the population of CSCs. Thereby, the aforementioned “off-target” functions of FGFR and VEGFR inhibitors can open novel approaches towards anti-cancer therapies and strategies aimed at counteracting cancer multidrug resistance (MDR), which is important especially as second- or third-line treatments in patients who have progressed on modern chemotherapeutic regimens. Notably, the strategy of using TKIs to potentiate the clinical efficacy of chemotherapies can extend beyond inhibitors of FGFR and VEGFR signaling pathways, thereby providing a rationale for repurposing existing TKIs as an attractive therapeutic approach to overcome cancer chemoresistance. Full article

To solve the unrelated parallel batch processing machine scheduling problem (UPBPMSP) with dynamic job arrivals, heterogeneous processing times, and machine heterogeneity, this paper presents an improved artificial bee colony (IABC) algorithm aimed at minimizing the makespan. Three improvements include the following: (1) a hybrid encoding scheme that combines machine allocation coefficients and priority weights, allowing for flexible consideration of machine capabilities and dynamic job priorities; (2) a dual-mode variable neighborhood search strategy to optimize machine allocation and job sequencing simultaneously; (3) a dynamic weight tournament selection mechanism to enhance population diversity and avoid premature convergence. Experimental results show that IABC reduces the makespan by 5% to 25% compared to traditional ABC and genetic algorithms (GAs), with the most significant advantages observed in concentrated job arrival scenarios. Statistical tests confirm that the improvements are statistically significant, validating the effectiveness of the proposed algorithm. Full article