Search Results (6,756)

Frequent transit services in urban areas have the potential to increase their accessibility to transit-dependent riders and reduce congestion by attracting new ridership through a modal shift. However, bus services operating in mixed traffic face operational challenges that reduce reliability and hinder their attractiveness. The sources of unreliability can range from local-level conditions, like the road infrastructure, to higher-level decisions, like the service plan. For the effective planning of improvement strategies, both scales of analysis must be considered. This paper uses a novel modeling framework to understand reliability by analyzing the route and segment factors separately. The Chicago Transit Authority (CTA) bus network is used as a case study for the analysis. The data reflect the operational, demand, and urban conditions of 50 high-frequency bus routes. At the route level, we use the coefficient of headway variation as the dependent variable and diverse route characteristics as explanatory variables. The results indicate that the most significant contributors to the variability of headways are variability in schedules and dispatching at terminals. It is also found that driver experience impacts reliability and that east–west routes are more unreliable than north–south routes. At the segment level, we use data from trips involved in bunching and gaps. As the dependent variable, a novel measure is formulated to capture how quickly bunching or gaps are formed. The bunching and gap events are treated as separate regression models. Findings suggest that link and dwell time variability are the most significant contributors to gap and bunching formation. In terms of infrastructure, bus lane segments reduce gap formations, and left turns increase bunching and gap formations. The insights presented can inform improvements in service and transit infrastructure planning to improve transit level of service (LOS) and support the future of sustainable, smart cities. Full article

Based on the excellent performance of the K(Ta_0.5Nb_0.5)O₃ (KTN) system, this study systematically investigated the mechanism of the influence of metal element (Cd, Sn, Hf) doping on the photocatalytic performance of KTN ferroelectric materials using the density functional theory (DFT) based on first principles. The findings indicate that after metal atom doping, the tolerance factor of doping systems is similar to that of pure KTN crystals, confirming that doping does not compromise its structural stability. However, the ion radius differences caused by doping lead to lattice distortion, significantly reducing the bandgap width. Because the impurity element substituting the Ta site exhibits a lower valence state compared to Ta, holes become the majority carriers, thereby endowing the semiconductor with p-type characteristics. These characteristics effectively suppress electron–hole recombination while enhancing electron transitions. Furthermore, the increase in the dielectric constant of the doped system indicates an enhancement in its polarization capability, which is accompanied by a significant improvement in carrier mobility. The peak of the imaginary part of the dielectric function and the peak of the absorption spectrum both shift towards the low-energy region, indicating that doping has expanded the light response range of the system. Moreover, the effective mass of the holes in all doped systems is significantly higher than that of the electrons, further demonstrating that the introduction of impurities is conducive to hindering the separation of photogenerated electron–hole pairs. These modifications significantly enhance the photocatalytic performance of the systems. Full article

Background/Objectives: Perineural (PnI), lymphatic (LI), and vascular invasion (VI) in tumor specimens are supposed to worsen the clinical course of oral squamous cell carcinoma (OSCC) and negatively influence survival outcomes. Despite this, these histologic features have not been implemented in the international staging recommendation for OSCC and their prognostic role remains questionable due to inconsistent findings in the related literature. Methods: To investigate the impact of PnI, LI, and VI on oral cancer-specific (OCSS), recurrence-free (RFS), and overall survival (OS), we hypothesized that these histologic features are independent risk factors for poor survival and therefore considered within a prospectively maintained single-center cohort of patients with OSCC. LI and VI were assessed together and reported as lymphovascular invasion (LVI). Results: This study included 439 patients with primary OSCC. Sixty-nine Patients (21.9%) had at least one of the two risk factors. Within the 5-year follow-up period, 61 of these patients (64%) died, and 30 patients (31%) developed locoregional recurrences. Both perineural and lymphovascular invasion were strongly correlated with the presence of lymph node metastasis. PnI and LVI were investigated separately using an adjusted Cox’s proportional hazards regression model. In addition to higher tumor size and the presence of nodal disease (higher stage) the presence of LVI was associated with poor OS, OCSS, and RFS on multivariate analysis, while PnI was associated with reduced OS. In stage III/IV postoperative radiotherapy improved survival in patients with PnI but not with LVI. Conclusions: We conclude that the evidence of LVI in tumor specimens should be considered a high-risk factor when planning adjuvant treatment and monitoring patients with OSCC. Full article

Background/Objectives: A thorough understanding of spinal anatomy is essential for diagnostic assessment and surgical intervention. Interspinous distance (ISD), neuroforaminal dimensions (NFDs), and disc space height (DSH) have each been studied separately; however, their interrelationship remains unstudied. Given the use of interspinous implants as a minimally invasive treatment for lumbar stenosis and degenerative disc disease, defining these relationships is of growing clinical significance. This study investigates the correlation between ISD and both NFDs and DSH in a normative population and whether ISD varies with demographic factors. Methods: A retrospective chart review was performed on 852 patients who underwent CT imaging of the lumbar spine. ISD was measured from L1 to L5 as the shortest distance between the most caudal tip of the superior spinous process and the inferior spinous process. DSH was measured at the anterior, middle, and posterior margins. NFDs were assessed in axial and sagittal views, including axial width, craniocaudal height, and foraminal area. Statistical analysis assessed correlations between ISD, NFDs, DSH, and demographic variables. Results: No strong correlation was observed between ISD and either NFDs or DSH. Slightly greater correlation was present at L1–L3, weakening at L4–L5, where interspinous implants are most commonly placed. Demographic analysis revealed no consistent relationship between ISD and ethnicity, sex, or BMI. While it may be expected that larger ISD correlates with greater NFDs or DSH, our findings do not support this assumption. Conclusions: ISD does not strongly correlate with NFDs or DSH, and demographic factors do not significantly influence ISD in a healthy population. Full article

Apricots are affected by many abiotic and biotic factors that could negatively impact their vitality and yield, leading to branch and tree dieback. Knowledge of the microbiome composition is key to choosing the optimal measurement strategy. The effect of the two different growing systems, i.e., organic (ORG) and integrated pest management (IPM), on the apricot fungal microbiome was studied. The inner bark was used to isolate DNA, and the present fungi were analyzed using a metagenomics high-throughput sequencing (HTS) profiling approach of the data obtained based on the Illumina sequencing of the ITS1-ITS2 amplicons of the 18S rRNA gene. Of the 20 analyzed samples, Ascomycota was the dominant phylum, and Dothiomycetes was the most abundant. Basidiomycota was the less frequent, with Tremellomycetes being the predominant within this phylum. PCA analysis showed the complete separation of the samples obtained from the orchards grown under the ORG and IPM systems. Cladosporia, Alternaria, Aureobasidium, and Visniacozyma were detected in all samples, but they dominated the IPM samples. Filobasiadiales were recognized as an indicator species for ORG management, while Caliciales, Lecanorales, Lichinales, Mycosphaerellales, Myriangiales, Phacidiales, Teloschistales, and Thelebolales were identified as indicator species for IPM management. Based on the order and genus levels, a significantly higher fungal microbiome richness was detected in the ORG samples. This could be connected to the environmentally beneficial growing system applied in the orchard, but it is impossible to assess the risk of trunk disease development or premature apricot tree decline. Full article

In the current context where China is continuously emphasizing the construction and supply of indemnificatory housing, and actively promoting the construction of “Better Housing” for such housing, the development experiences of Japan and South Korea in the field of public housing reveal that the construction and supply of public housing cannot be separated from the interaction and coordinated development of the policy system, spatial composition, and cultural factors. Based on this, this study takes the public rental housing in China, Japan, and South Korea as the research objects, through comparative analysis of their policy systems, cultural backgrounds, and spatial composition characteristics of unit plans, to explore the implications for the development of China’s indemnificatory housing, and provides theoretical basis and practical references for optimizing the supply system and space design of China’s indemnificatory housing. The study selects typical cases of public rental housing from the three countries, and conducts comparisons from dimensions such as unit plane shape, L.D.K. layout, bedroom configuration, transitional space, balcony design, and bathroom composition. Findings indicate that Japan’s UR rental housing focuses on refined and diversified design, South Korea’s public housing emphasizes spatial flexibility, while China’s indemnificatory housing, while pursuing standardized construction, faces challenges of area limitations and insufficient functional adaptability. Based on the experiences of the three countries, this study proposes a tripartite guidance suggestion of “Policy–Space–Culture” to advance the realization of “Better Housing” objectives and ensure that China’s indemnificatory housing meets both international advanced experience and local social and cultural specific needs: (1) policy systems—strengthening legalization and long-term sustainability in governance; (2) spatial composition—incorporating flexible layouts and human-centric detailing; (3) cultural adaptability—balancing traditional living habits with contemporary needs. Full article

Anion exchange membranes (AEMs) serve as critical components in diffusion dialysis (DD) systems due to their unique permselectivity. This study developed a series of triethanolamine (TEA)-functionalized chloromethylated polysulfone (CMPSF) AEMs via solution casting. The physical and chemical structural characterization through ¹H NMR, XPS, FTIR, and SEM proved successful membrane synthesis. The performances of the membranes, such as ion exchange capacity (IEC), water contact angle (WCA), water uptake (WU), chemical stability, and mechanical stability, were systematically evaluated. For HCl/FeCl₂ acid recovery (1 mol L⁻¹ HCl + 0.25 mol L⁻¹ FeCl₂), the optimal membrane (TEA-CMPSF-M50) demonstrated exceptional DD performance, with an acid dialysis coefficient (U_H⁺) of 47.9 × 10⁻³ m h⁻¹ and separation factor (S) of 3.87. Crucially, after 7-day immersion in acidic solution at 65 °C, the membrane maintained U_H⁺ and S values of CMPSF-M50 AEM of 45.4 × 10⁻³ m h⁻¹ and 4.02, respectively, confirming the outstanding acid resistance and thermal stability of TEA-CMPSF-M50 AEM. These results indicated that the TEA-functionalized AEMs developed in this work hold great promise for industrial acid recovery applications. Full article

Background: Chinese Red Steppe cattle (CRS) combine indigenous environmental resilience with moderate dairy performance, whereas Holstein cattle (HOL), despite their high milk yield, suffer reduced genetic diversity and compromised adaptation. A comparative analysis of their population genetic architecture and selection signatures can reveal valuable targets for CRS dairy improvement. Methods: We genotyped 61 CRS and 392 HOL individuals using the Illumina GGP Bovine 100K SNP array and performed stringent quality control. Population structure was assessed via principal component analysis, neighbor-joining trees, and sparse nonnegative matrix factorization. Historical effective population size (Ne) and divergence time were inferred with SMC++. Genome-wide selection scans combined Fixation Index (FST) and Cross-Population Composite Likelihood Ratio test (XP-CLR); overlapping high-confidence regions were annotated and subjected to GO and KEGG enrichment analyses. Results: CRS and HOL were clearly separated along PC1 (explaining 57.48% of variance), with CRS exhibiting high internal homogeneity and weak substructure, versus greater diversity and complex substructure in HOL. SMC++ indicated a split approximately 3500 years ago (700 generations) and a pronounced recent decline in Ne for both breeds. Joint selection mapping identified 767 candidate genes; notably, the ACSM1/2B/3/4 cluster on chromosome 25—key to butanoate metabolism—showed the strongest signal. Enrichment analyses highlighted roles for proteasome function, endoplasmic reticulum stress response, ion homeostasis, and RNA processing in regulating milk fat synthesis and protein secretion. Conclusion: This study delineates the genetic divergence and demographic history of CRS and HOL, and pinpoints core genes and pathways—particularly those governing butanoate metabolism and protein quality control—underlying dairy traits. These findings furnish molecular markers and theoretical guidance for precision breeding and sustainable utilization of Chinese Red Steppe cattle. Full article

Underwater vessel localization using passive magnetic anomaly sensing is a challenging problem due to the variability in vessel magnetic signatures and operational conditions. Data-based approaches may fail to generalize even to slightly different conditions. Thus, we propose an Attentive Neural Process (ANP) approach, in order to take advantage of its few-shot capabilities to generalize, for robust localization of underwater vessels based on magnetic anomaly measurements. Our ANP models the mapping from multi-sensor magnetic readings to position as a stochastic function: it cross-attends to a variable-size set of context points and fuses these with a global latent code that captures trajectory-level factors. The decoder outputs a Gaussian over coordinates, providing both point estimates and well-calibrated predictive variance. We validate our approach using a comprehensive dataset of magnetic disturbance fields, covering 64 distinct vessel configurations (combinations of varying hull sizes, submersion depths (water-column height over a seabed array), and total numbers of available sensors). Six magnetometer sensors in a fixed circular arrangement record the magnetic field perturbations as a vessel traverses sinusoidal trajectories. We compare the ANP against baseline multilayer perceptron (MLP) models: (1) base MLPs trained separately on each vessel configuration, and (2) a domain-randomized search (DRS) MLP trained on the aggregate of all configurations to evaluate generalization across domains. The results demonstrate that the ANP achieves superior generalization to new vessel conditions, matching the accuracy of configuration-specific MLPs while providing well-calibrated uncertainty quantification. This uncertainty-aware prediction capability is crucial for real-world deployments, as it can inform adaptive sensing and decision-making. Across various in-distribution scenarios, the ANP halves the mean absolute error versus a domain-randomized MLP (0.43 m vs. 0.84 m). The model is even able to generalize to out-of-distribution data, which means that our approach has the potential to facilitate transferability from offline training to real-world conditions. Full article

Background: The 21st century is characterized by a significant and ongoing rise in the aging population across Europe. In this context, marital status may act as a relevant social factor influencing health trajectories in later life. This study explores the association between marital status and various health-related outcomes in community-dwelling older adults. Methods: We enrolled 1201 patients ≥ 65 years (median age: 81, interquartile range (IQR): 76–84) attending the Geriatric Outpatient Service at the University Hospital of Cagliari. Each participant underwent a Comprehensive Geriatric Assessment (CGA). Results: Married individuals were significantly less likely to report depressive symptoms (Risk Ratio (RR) = 0.82; 95% Confidence Interval (CI): 0.73 to 0.92; p = 0.0004) and had a 1.26-point reduction in Geriatric Depression Scale (GDS) scores (β = –1.26; 95% CI: −2.03 to −0.50; p = 0.0013). Separate/Single participants exhibited significantly higher Mini-Mental State Examination (MMSE) scores (β = 1.60; 95% CI: 0.19 to 3.01; p = 0.0262). In contrast, Widowed individuals showed significantly poorer cognitive performance (RR = 1.12; 95% CI: 1.02 to 1.23; p = 0.0204), with lower MMSE scores (β = −1.10; 95% CI: −2.08 to 0.12; p = 0.0279). They also had a higher likelihood of depressive symptoms (RR = 1.16; 95% CI: 1.04 to 1.30; p = 0.0072) and a 1.19-point increase in GDS scores (β = 1.19; 95% CI: 0.38 to 1.99; p = 0.0039). Conclusions: Although observational design precludes causal inference, our findings highlight the significance of marital status as a social factor associated with cognitive function and mood in older adults. Integrating this dimension into the CGA may enhance its ability to capture social vulnerabilities in later life. Full article

Plant heat shock proteins (Hsps) are from a diverse and ancient protein family, with small Hsps of ~20 kDa molecular weight classified as Hsp20s. As a key transcription factor in the jasmonic acid (JA) pathway, myelocytomatosis protein 2 (MYC2) plays a vital role in stamen development. In this study, we identified six genes with significantly altered expression levels using previous RNA-Seq data from PhMYC2a-overexpressing and methyl jasmonate (MeJA)-treated petunia. Interestingly, five of these are Hsp20 family members (PhHsp16.0A, PhHsp16.1, PhHsp16.8, PhHsp21.9, and PhHsp40.8). Yeast one-hybrid (Y1H) and dual-luciferase assays demonstrated that PhMYC2a directly binds their promoters, indicating a collective effect. Thus, a genome-wide analysis was conducted and a total of 38 genes encoding Hsp20s were identified in the reference genome of Petunia axillaris. Phylogenetic analysis revealed that 38 members of Hsp20s were irregularly distributed on 34 chromosome scaffolds and separated into 13 subfamilies, with only PaHsp16.0A and 16.1, among the five selected Hsp20s, being in the same Cytosol IV (CIV) subfamily. Conserved motif analysis suggested that the PaHsp20 gene family members may have a high degree of conservation. The promoter sequence analysis suggested that the promoter regions of PaHsp20 genes contained multiple light- and hormone-related cis-regulatory elements. Subsequently, spatiotemporal expression patterns, analyzed by qRT-PCR, showed that PhHsp16.0A and PhHsp16.1 had relatively high expression levels in flowers, with similar expression patterns at various stages of flower bud and anther development. Furthermore, virus-induced gene silencing (VIGS) of PhHsp16.0A and PhHsp16.1 resulted in significantly reduced pollen fertility, indicating their regulation in the process of flower development and echoing the role of PhMYC2a. This study highlights the pivotal role of Hsp20s in MYC2a-mediated regulatory mechanisms during petunia pollen development. Full article

Stabilization of the resonance frequency in thin-film acoustic devices to variations in environmental conditions is commonly reduced to the passive or active compensation of a single factor (usually temperature) and the isolation or addition of a separate correction circuit for every other factor (e.g., pressure and mass loading). In this work, the possibility of dual-factor compensation is proposed, where the response of a multi-layered thin structure to both temperature and ambient pressure variation vanishes due to the choice of intrinsic parameters (materials and thickness ratios). The response functions are derived for the $S_0$ Lamb mode at long wavelengths in an explicit analytical form in terms of bulk material characteristics. It is demonstrated that the dual-factor intrinsic stabilization requires at least a three-layered structure and can be achieved for materials commonly used in temperature-compensated devices (aluminum nitride, fused silica, and aluminum). Identification of the key material characteristics governing the existence of a stability solution can serve for a targeted search of such composites and implementation of new thin-film dual devices. Full article

Growing interest in organic food, along with European regulations limiting chemical usage, and the declining effectiveness of herbicides due to weed resistance, are all contributing to the growing trend towards mechanical weeding. For mechanical weeding to be effective, tools must pass near the crops in both the inter- and intra-row areas. The use of AI-based computer vision can assist in detecting crop lines and accurately guiding weeding tools. Additionally, AI-driven image analysis can be used for selective intra-row weeding with mechanized blades, distinguishing crops from weeds. However, until now, there have been two separate systems for these tasks. To enable simultaneous in-row weeding and row alignment, YOLOv8n and YOLO11n were trained and compared in a lettuce field (Lactuca sativa L.). The models were evaluated based on different metrics and inference time for three different image sizes. Crop lines were generated through linear regression on the bounding box centers of detected plants and compared against manually drawn ground truth lines, generated during the annotation process, using different deviation metrics. As more than one line appeared per image, the proposed methodology for classifying points in their corresponding crop line was tested for three different approaches with different empirical factor values. The best-performing approach achieved a mean horizontal error of 45 pixels, demonstrating the feasibility of a dual-functioning system using a single vision model. Full article

We present some numerical results on piston and tilt detection by using the Young experiment with Genetic Algorithms (GAs). We have simulated the cophasing of a flat surface by following the experimental setup and the mathematical model for Optical Path Difference (OPD) in the Young experiment to characterize piston and tip–tilt misalignment images in the order of a few nanometers, considering diffraction effects and random noise of 5%. Thus, the best fitness obtained by the genetic algorithm is considered as a determining factor to decide a complete error measurement because the proposed algorithm is capable of extracting the values of piston and tilt separately, regardless of which error is present or both. As a result, we have developed a study on piston detection from (0.001, 10) mm with a tilt present in the same pattern from (0, $\lambda /2$) by using GAs embedded in a computational application. Full article

Understanding milk yield recovery following clinical mastitis (CM) and its influencing factors is essential for controlling the effect of mastitis on milk yield. This study investigated the associations between quarter-level milk yield recovery and milk loss, somatic cell count (SCC), clinical severity, and causative pathogens. Recovery was measured as percentage recovery for inflamed and uninflamed quarters separately. We analyzed 117 CM cases, identifying 117 quarter-level milk yield perturbations (qMYPs) in inflamed quarters and 299 in uninflamed quarters. The recovery of qMYPs was compared across quickly, slowly, and non-recovered groups for inflamed and uninflamed quarters, based on the average and slope of percentage recovery over time, using the Mann–Whitney test. Correlation and regression analyses were conducted to assess associations with milk loss, SCC, clinical severity, and pathogens. Inflamed quarters showed similar recovery to uninflamed quarters in recovered groups but significantly worse recovery in the non-recovered group (p < 0.05). In inflamed quarters, greater milk loss, higher SCC, more severe clinical signs, and major pathogens were associated with worse recovery (correlation < 0). In uninflamed quarters, these factors were linked to worse early recovery (correlation < 0), whileled to improved recovery over time (correlation > 0). Additionally, short-term and long-term recovery were influenced differently in inflamed and uninflamed quarters. These findings improve understanding of CM recovery and may support selective treatment, reduce disease impact, and enhance animal welfare in dairy production. Full article