Search Results (11,849)

Automated Storage and Retrieval Systems (AS/RSs) are pivotal hubs in modern intelligent logistics, yet their operational efficiency is often constrained by the complex coupling of storage allocation, equipment scheduling, and path planning. This study proposes a systematic optimization framework to address these three critical control challenges. First, a multi-objective mathematical model for storage location allocation is established, considering efficiency, stability, and correlation. To solve this high-dimensional discrete problem, a Tabu Variable Neighborhood Search (TVNS) algorithm is proposed, integrating short-term memory mechanisms with multi-structure exploration to prevent premature convergence. Second, regarding stacker crane and forklift collaborative scheduling, a Pheromone-guided Artificial Hummingbird Algorithm (PT-AHA) is introduced. By incorporating pheromone feedback into foraging behavior, the algorithm significantly enhances global search capability to minimize total task completion time. Third, stacker crane path planning is modeled as a constrained Traveling Salesman Problem (TSP) and solved using a hybrid Simulated Annealing-Whale Optimization Algorithm (SA-WOA). Quantitative simulation results demonstrate that the TVNS algorithm improves storage allocation fitness by 1.1% over standard Genetic Algorithms, while the PT-AHA reduces task completion time (Makespan) by 21.9% for small-scale batches and consistently outperforms ACO by up to 3.6% in large-scale operations. Validation through an Intelligent Warehouse Management System (WMS) confirms that the integrated framework maintains high industrial resilience by triggering fault alarms and initiating recovery within 3.2 s during simulated equipment failures, providing a robust solution for enterprise-level deployments. Full article

The PD-1/PD-L1 axis is crucial for immune regulation and homeostasis, but cancer cells can exploit this pathway to evade immune surveillance. PD-1, a key immune checkpoint receptor, interacts with its ligands PD-L1 and PD-L2 to modulate immune responses within the tumor microenvironment. We hypothesized that single nucleotide polymorphisms (SNPs) in the PDCD1 and CD274 genes, encoding PD-1 and PD-L1, are associated with clinicopathological features, PD-L1 immunohistochemical expression, and clinical outcomes in clear cell renal cell carcinoma (ccRCC). We analyzed four SNPs using TaqMan allelic discrimination assays in 238 ccRCC cases: rs11568821 and rs7603052 (PDCD1), and rs4143815 and rs17718883 (CD274). The rs7603052 polymorphism in PDCD1 and rs17718883 in CD274 were significantly associated (p = 0.033 and p = 0.043 respectively) with PD-L1 expression in tumor-infiltrating immune cells (TIICs). Specifically, the C allele of rs7603052 and the CC genotype of rs17718883 correlated with PD-L1 positivity in TIICs. Additionally, the C allele of rs4143815 in CD274 was associated with PD-L1 positivity in tumor cells (p = 0.039). Notably, rs17718883 in CD274 was associated with ccRCC patient prognosis: carriers of the T allele, particularly those with the CT genotype, demonstrated improved overall survival compared to CC genotype carriers (p < 0.001). These findings suggest that PDCD1 and CD274 polymorphisms may serve as potential predictive and prognostic biomarkers in ccRCC. Full article

Background and Objectives: Acute ischemic stroke (AIS) caused by large vessel occlusion (LVO) remains a major cause of disability and mortality. Mechanical thrombectomy (MT) improves outcomes, but recovery varies. This study assessed the prognostic value of hypoperfusion intensity ratio (HIR), collateral circulation, and other clinical/imaging factors. Materials and Methods: This retrospective cohort study included 96 LVO patients treated with MT with or without intravenous thrombolysis (IVT) between 2020 and 2024 at a tertiary hospital. Inclusion required multimodal CT (CT, CTA, CTP) and clinical data (NIHSS, mRS). HIR, core volume, CBV index, mismatch ratio, and collateral status were evaluated using artificial intelligence (AI)-based software. Univariate/multivariate logistic regression identified predictors of poor outcome (mRS > 3 at 90 days). Results: Lower HIR (<0.5) and good collaterals were associated with favourable outcomes (p < 0.001). Multivariate analysis identified HIR, initial NIHSS, and procedure duration as independent predictors of poor outcome. CTP-derived core volume, cerebral blood volume index, and mismatch ratio were also significant predictors. ROC analysis showed the highest AUC for core volume (0.810). Diabetes mellitus was associated with a worse prognosis compared to other clinical factors. Conclusions: HIR and collateral status are independent predictors of functional recovery after MT. CTP-derived core volume and CBV index have strong prognostic value. AI-based perfusion analysis supports patient selection and risk stratification. Full article

Understanding and predicting how tourists move through a city is a challenging task, as it involves a complex interplay of spatial, temporal, and social factors. Traditional recommender systems often rely on structured data, trying to capture the nature of the problem. However, recent advances in Large Language Models (LLMs) open new possibilities for reasoning over richer, text-based representations of user context, even without a dedicated pre-training phase. In this study, we investigate the potential of LLMs to interpret and predict tourist movements in a real-world application scenario involving tourist visits to Verona, a municipality in Northern Italy, between 2014 and 2023. We propose an incremental prompt engineering approach that gradually enriches the model input, from spatial features alone to richer behavioral information, including visit histories, time information, and user cluster patterns. The approach is evaluated using six open-source models, enabling us to compare their accuracy and efficiency across various levels of contextual enrichment. The results provide a first insight about the abilities of LLMs to incorporate spatio-temporal contextual factors, thus improving predictions, while maintaining computational efficiency. The analysis of the model-generated explanations completes the picture by adding an interpretability dimension that most existing next-PoI prediction solutions lack. Overall, the study demonstrates the potential of LLMs to integrate multiple contextual dimensions in tourism mobility, highlighting the possibility of a more text-oriented, adaptive, and explainable T-RS. Full article

Biliverdin (BV) and bilirubin (BR) are established endogenous antioxidants and immune modulators in other organ systems; however, their roles in the male genital tract remain undefined. The aim of this study was to quantify both bile pigments in human seminal plasma using a fluorescent protein biosensor and to examine their associations with basic semen parameters. We analyzed forty-two semen samples from men undergoing infertility evaluation. Biliverdin predominated over bilirubin in 88.1% of samples. Biliverdin concentration ranged from 51.8 to 611.2 nM, whereas bilirubin ranged from 19.7 to 240.7 nM. The mean total amounts per ejaculate were 1054 pmol for biliverdin and 280 pmol for bilirubin. The total amount of bilirubin in the ejaculate was positively correlated with total sperm count (Rs = 0.47; p = 0.028), whereas biliverdin showed no significant association (Rs = 0.21; p = 0.723). Oligozoospermic samples had significantly lower bilirubin concentrations (p < 0.001) and lower total bilirubin amounts (p < 0.005). Teratozoospermic samples exhibited significantly higher biliverdin concentrations (p < 0.05). This study provides the first simultaneous quantification of biliverdin and unconjugated bilirubin in human seminal plasma and identifies distinct associations with sperm quality. These findings suggest that bile pigments may reflect localized redox-related processes in the male genital tract and may influence male fertility potential. Full article

Background/Objective: The identification of novel non-invasive diagnostic and prognostic biomarkers is urgently needed in pleural mesothelioma (PM). While soluble mesothelin-related peptides (SMRP) are the most established circulating biomarker, their prognostic value is limited. A wide range of microRNAs (miRs) play diverse roles in regulating gene expression in PM. MiR-21 has been shown to be upregulated in mesothelioma tissue; nevertheless, the diagnostic and prognostic utility of miR-21 in the circulation and its association with survival in PM have not been extensively investigated to date. The objective of the current study was to evaluate miR-21 as a potential blood-based diagnostic and prognostic biomarker in PM. Methods: Plasma samples from PM patients (n = 94) were collected at the time of diagnosis, prior to treatment. Sex- and age-matched healthy individuals (n = 30) served as controls. MiR-21 levels were measured using quantitative RT-PCR and normalized to miR-16, and potential correlations with clinicopathological data were analyzed. Serum SMRP levels were measured in matched patients (n = 84), and a direct comparative analysis of miR-21 and SMRP was conducted. In situ hybridization (ISH) was used to confirm the presence of miR-21 in tumor cells. Results: Plasma miR-21 levels were significantly elevated in PM patients compared to healthy controls (p < 0.001), demonstrating good diagnostic performance (AUC 0.81). The localization of miR-21 in PM cells was confirmed by ISH. High miR-21 levels were associated with significantly shorter median overall survival (12.4 vs. 24.3 months, p < 0.001). Elevated SMRP levels were also associated with reduced survival (12.4 vs. 19.5 months, p = 0.032); however, SMRP did not retain independent prognostic significance in multivariable analysis. In contrast, high-circulating miR-21 was confirmed as an independent predictor for poor survival (HR 3.12, p < 0.001). Conclusions: Our findings highlight that circulating miR-21 is a potential non-invasive biomarker with both diagnostic and independent prognostic value in pleural mesothelioma and outperforms SMRP in multivariable survival analysis. Further research is warranted to validate its role in the biology of this disease and to assess its correlation with outcome and treatment responses. Full article

Background: Cardiovascular diseases remain important causes of morbidity and potential premature mortality in children. Although clinical imaging and electrophysiologic testing have advanced, early, minimally invasive biomarkers that can both detect myocardial injury and help differentiate among overlapping pediatric phenotypes are still limited. Circulating microRNAs (miRNAs; miRs) are becoming attractive biomarker candidates because many are abundant in the heart, actively released into the circulation, and remarkably stable in plasma. The study aimed to assess the expression of miR-1-3p, miR-let-7b-5p, miR-21-5p, and miR-26b-5p in children with cardiovascular disease. Methods: Children aged 10–18 years with cardiac arrhythmias, myocarditis, or cardio-myopathies were recruited. The control group consisted of healthy age- and sex-matched children. For each participant, peripheral venous blood was collected for plasma isolation and miRNA profiling. The expression of miR-1-3p, miR-let-7b-5p, miR-21-5p, miR-26b-5p, and UniSp6 molecules was analyzed using the comparative cycle threshold delta Ct (ΔCt) method. A p-value ≤ 0.05 was considered statistically significant. Results: miR-26b-5p was significantly downregulated in patients with cardiac disease compared with healthy controls. miR-21-5p and miR-26b-5p were downregulated in patients with ventricular arrhythmia. Moreover, miR-26b-5p was downregulated in arrhythmia in general. We found no significant difference in the expression of miR-1-3p, miR-let-7b-5p, miR-21b-5p, and miR-26b-5p between patients with and without myocarditis, as well as with and without hypertrophic cardiomyopathy. Conclusions: miR-26b-5p may distinguish young patients with cardiovascular disease and those with arrhythmias from healthy individuals. miR-21-5p and miR-26b-5p may also be seen as potential biomarkers of ventricular arrhythmia. Further studies involving a larger sample size are required to obtain sufficient data and validate these findings. Full article

Extreme drought events are increasingly destabilizing European lowland oak forests, yet within-stand variation in drought legacy effects remains poorly characterized. This study integrates UAV-LiDAR canopy structural analysis with a 68-year dendrochronological record (1952–2019) to examine divergent radial growth responses to the 2012 extreme drought in Turkey oak (Quercus cerris L.) forests of Vojvodina, northern Serbia. LiDAR scanning (Wingtra Gen II, 90 m altitude, spring 2024) enabled objective classification of 180 increment cores from 90 trees across four 5–7 ha experimental plots into two structural zones: a preserved-structure zone (PS; gap fraction ≤ 10%) and a disturbed-structure zone (DS; gap fraction > 10%). Ring width index (RWI) chronologies were developed using the modified negative exponential function and analyzed with linear mixed-effects models (LMMs) incorporating AR(1) temporal autocorrelation. Lloret resilience indices (a reference window of seven years) were computed per individual tree and compared between zones using Mann–Whitney U tests with Bonferroni correction. The key finding is a statistically significant zone × period interaction in all four plots (p = 0.0009–0.033): DS zone trees exhibited a marked post-drought RWI increase (mean +0.22–0.36 units; t-test p < 0.0001 in all plots), while PS zone trees showed no significant post-drought change (p = 0.147–0.258). Pooled Lloret analysis revealed significantly higher recovery (Rt: DS median = 1.693 vs. PS = 1.237; U = 1633, p < 0.0001, r = 0.532) and resilience (Rs: DS = 1.232 vs. PS = 0.932; U = 1574, p < 0.0001, r = 0.482), while resistance (Rc) did not differ between zones (p = 0.569), indicating that DS zone trees were equally susceptible to the drought but recovered far more strongly. The equivalence of Rc between zones critically implies that divergent post-drought trajectories cannot be attributed to differential drought tolerance but instead reflect a structural mechanism operating exclusively in the post-drought period. These results are consistent with a competition release mechanism: drought-induced canopy gap formation in DS zones reduced inter-tree competition for surviving trees, enabling accelerated radial growth recovery. Full article

Remote sensing visual question answering (RS-VQA) is essential to intelligent Earth observation, as it supports interactive querying of high-resolution aerial images. Many existing methods struggle with fine-detail geospatial reasoning with remote sensing (RS) scenes due to RS scenes having intrinsic multi-scale object variance and pronounced spatial heterogeneity. The models tend to rely more on the linguistic prior than reasoning based on visual evidence. In this paper, we present PMA-VQA, a progressive multi-scale feature fusion with spatially adaptive attention, to embed the RS-VQA task in spatially based hierarchical feature integration. For hierarchical, multi-level, language-informed integration, we propose a spatial attention aggregation module (SAAM) and a progressive feature fusion and classification module (PFCM). The SAAM employs spatially adaptive gating to align cross-modal features with semantic context, while the PFCM integrates multi-scale representations across high-level semantic abstractions and low-level space. The experimental results on RS-VQA LR and HR benchmarks validate that PMA-VQA outperformed all competing methods in terms of accuracy and robustness. Evaluation of HRVQA further confirmed the effectiveness of the SAAM and PFCM across diverse RS scenes. Full article

Gestational weight gain (GWG) and birth weight (BW) have a multifactorial etiology, which makes identifying the most influential determinants difficult. The association between variants of the FTO and LEPR genes has been explored as contributing factors to obesity in various age groups; however, their role in GWG and BW in adolescent mothers and their offspring is uncertain. To determine whether the presence of polymorphisms rs9939609 (FTO) and rs1137101 (LEPR) is associated with gestational weight gain and newborn weight in a cohort of adolescent mothers. Methods: A prospective cohort study of 305 mother-child dyads was conducted between 2020 and 2024. Genotyping of the single nucleotide variants (SNVs) rs9939609 of the FTO gene and rs1137101 of the LEPR gene was performed using real-time PCR and high-resolution melting analysis (qPCR-HRM), using maternal peripheral blood and umbilical cord blood samples. GWG, BW, energy intake, and other perinatal data were recorded and classified. Genetic data from 305 mother–offspring dyads were analyzed. The median maternal age was 16 years, and 71.4% had a normal pre-pregnancy body mass index (BMI). The most frequent genotypes were TT for FTO rs9939609 and AG for LEPR rs1137101. In both groups, the genotypic distribution significantly deviated from Hardy–Weinberg equilibrium (p < 0.0001). The AA genotype of FTO was associated with a higher probability of excessive gestational weight gain (GWG) after adjustment for pre-pregnancy BMI and dietary and sociodemographic factors. High protein and lipid intake increased the risk of excessive GWG, whereas adequate intake of carbohydrates and legumes showed a protective effect. An initial significant association was identified between the LEPR rs1137101 variant (AA allele) and low birth weight (LBW); however, this association was lost after adjustment for confounding factors. The FTO rs9939609 variant was significantly associated with GWG. On the other hand, the LEPR rs1137101 variant in the offspring showed an association with BW categorized by percentiles (in crude analysis), while the FTO variant showed no relationship with birth weight. Full article

Assimilated carbon allocation to belowground processes may influence soil respiration (Rs). Because Rs includes autotrophic respiration (Ra) and heterotrophic respiration (Rh), different root and microbial responses complicate the separation of these effects. In a temperate deciduous broadleaf forest, we used sap flux density and estimated photosynthesis as indicators of plant activity. Total soil respiration and heterotrophic respiration were measured using automated chambers, and autotrophic respiration was estimated as Rs minus Rh. We examined the overall responses and time lags of respiration components. Ra showed positive relationships with sap flux density and estimated photosynthesis (R² = 0.37 and 0.30, p < 0.05), whereas Rh showed weaker relationships (R² = 0.20 and 0.15, p < 0.05). In lagged cross-correlation analyses using high-resolution data, Rs and Ra showed maximum responses 13 h after plant activity changes, whereas Rh showed no lag response (p > 0.05). These results suggest that associations with plant activity were clearer for Ra than Rh, and that the detected lagged response of soil respiration was more consistent with partitioned Ra than Rh. However, because Ra was estimated as Rs minus Rh, these patterns should be interpreted cautiously. Considering the responses and time lags of respiration components may improve ecosystem carbon cycling predictions. Full article

This paper presents a high-performance and resource-efficient Field Programmable Gate Array (FPGA)-based architecture for satellite telemetry transmission systems. The proposed design implements a flexible channel coding chain, including Reed–Solomon (R-S) encoding, convolutional encoding, symbol interleaving, pseudo-randomization, and Attached Synchronization Marker (ASM) insertion, in accordance with CCSDS recommendations. The architecture is fully integrated and configurable, allowing dynamic selection of coding schemes without requiring structural modifications. The system is implemented on a modern FPGA platform with a 32-bit AXI4-Stream interface at 110 MHz, reaching an effective throughput of up to 1.76 Gbps. Experimental results demonstrate reliable timing with positive setup and hold margins, allowing the system to operate at approximately 130 MHz. Power consumption is measured using Switching Activity Interchange Format (SAIF)-based switching activity, providing a realistic estimate of programmable logic power consumption. The total on-chip power is about 1.77 W for individual coding modes. It rises to 1.91 W in the concatenated setup, which is the worst-case scenario. The results show that the proposed architecture efficiently uses resources, runs reliably at high speeds, and exhibits predictable power consumption. This makes it well suited for high-reliability and energy-constrained satellite communication systems. resources are used. Full article

The resource utilization of construction and demolition waste (CDW) is crucial for advancing the green transformation of the construction industry, but it faces challenges such as insufficient upstream R&D motivation and low downstream market acceptance. To investigate the impact of corporate social responsibility (CSR) and sales effort on the recycled cement supply chain, in this study, a Stackelberg game model of a two-tier supply chain comprising a single recycled cement manufacturer and retailers is constructed. Under government subsidy conditions, four CSR sharing modes are systematically compared: no CSR (NS), manufacturer-borne (MS), retailer-borne (RS), and shared by both (TS). The results indicate the following: (1) CSR implementation reduces wholesale and retail prices while increasing sales effort, the incorporation rate of recycled aggregates, and market demand, with retailers bearing CSR yielding the most significant pull effect; (2) heightened sensitivity to sales effort incentivizes retailers to increase sales investment and encourages manufacturers to increase the incorporation rate of recycled aggregates, thereby increasing overall supply chain profits and utility; and (3) when the CSR coefficient does not exceed the critical value of 0.97, both manufacturer profits and retailer profits increase as the CSR level increases under the TS model; under the RS model, total supply chain profits and total utility reach their maximum. Corporate social responsibility (CSR) undertaken or jointly undertaken by retailers can better align economic and social objectives. This study provides theoretical foundations and practical insights for policy formulation and corporate decision-making in construction waste resource management. Full article

Background: This study aimed to further explore the application of genetic risk assessments in 24 metabolic bariatric surgery (MBS) patients to predict weight loss outcomes three years after the procedure. Methods: Participants were assessed using the Genetic Addiction Risk Severity (GARS) test, which evaluates neurogenic polymorphisms linked to addiction and reward deficiency. Genetic and psychosocial data collected prior to surgery were analyzed in relation to post-operative weight loss measures, including weight change, body mass index (BMI), percentage of total weight loss (%TWL), and percentage of expected weight loss (%EWL). The analysis examined associations between specific genetic risk alleles, weight-related outcomes at three to four years post-surgery, and psychosocial trait scores. Results: Spearman’s correlations revealed that the DRD2 risk allele is negatively correlated with 3-year BMI (r_s = −0.481, p < 0.05, 95% CI: –0.746 to –0.083). One-way ANOVA indicated that there is a significant difference in 3-year BMI (p = 0.018) between 0 and 1 DRD2 risk allele copy. There is also a significant difference in ∆weight (p = 0.022), ∆BMI (p = 0.014), and %EWL (p = 0.032) among the different SNP expression values of the MAOA risk allele. In addition, Spearman’s correlation revealed that FCQ scores are negatively correlated with ∆BMI (r_s = −0.470, p < 0.05, 95% CI: −0.767, −0.005), %TWL (r_s = −0.561, p < 0.05, 95% CI: −0.814, −0.129), and %EWL (r_s = −0.533, p < 0.05, 95% CI: −0.800, −0.090) at 3 years post-surgery and positively correlated with 3-year weight (r_s = 0.576, p < 0.05, 95% CI: 0.151, 0.821) and 3-year BMI (r_s = 0.552, p < 0.05, 95% CI: 0.117, 0.810). Lastly, GARS scores are positively correlated with 3-year ∆weight (r_s = 0.422, p < 0.05, 95% CI: 0.010, 0.712). Full article

Understanding Alzheimer’s Disease (AD) progression using resting-state functional Magnetic Resonance Imaging (rs-fMRI) remains an open challenge. Variational Autoencoders (VAEs) provide compact representations of high-dimensional neuroimaging data but lack mechanisms to highlight disease-relevant features. We propose KS-VAE, a novel framework that integrates the Kolmogorov–Smirnov test into the latent space of VAEs to identify statistically significant variables discriminating healthy from pathological brain states. This integration enables measurement of latent space shifts associated with cognitive decline, offering a quantitative approach to neurodegenerative processes. By modifying the most relevant variables, KS-VAE generates synthetic samples that simulate transitions between clinical conditions while preserving anatomical plausibility. The method enhances the modeling of temporal and distributional dynamics underlying disease progression and provides interpretable analysis of class-relevant features. Applied to rs-fMRI scans of 220 subjects from the ADNI cohort, KS-VAE demonstrated robust class separation between cognitively normal and Alzheimer’s disease subjects, achieving a classification accuracy of 84.5% and an F1-score of 84.5%, and clinically consistent synthetic transitions. KS-VAE thus offers a statistically grounded and clinically interpretable framework for understanding Alzheimer’s disease progression. Full article