Search Results (211,619)

The present study evaluated the effects of the prepartum administration of immunotropic preparations on the growth performance, physiological status, and metabolic profile of calves. Sixty pregnant Holstein cows were divided into three groups (n = 20 each): the first experimental group received a single intramuscular injection of sodium nucleinate (5 mL), the second experimental group received a single intramuscular injection of Ribotan (5 mL), and the control group received saline solution. All treatments were administered 3–9 days before calving. The obtained calves were monitored until 60 days of age. Clinical, growth, hematological, and biochemical parameters were assessed at days 1, 10, 30, and 60. Calves from the treated cows showed improved neonatal adaptation, including faster development of standing posture and the suckling reflex. Body weight was significantly higher in experimental groups at 30 and 60 days (p ≤ 0.05), with consistently greater average daily gains. Blood analysis revealed increased total protein, albumin, and γ-globulin levels, indicating enhanced protein metabolism and immune status. In contrast, cortisol concentrations were lower in treated groups, reflecting reduced physiological stress. Multivariate (PCA) and correlation analyses confirmed strong associations between growth performance, metabolic activity, and immune indicators, and demonstrated clear separation between control and treated groups. Ribotan exhibited the most pronounced biological effect, while sodium nucleinate showed moderate but consistent improvements. In conclusion, prepartum immunotropic treatment of cows enhances early-life adaptation, metabolic efficiency, and growth performance of calves and may represent a practical strategy for improving calf rearing outcomes in dairy farming systems. Full article

In complex urban environments, GNSS satellite signals suffer from severe multipath errors caused by building occlusion and reflection, which significantly degrades the accuracy of precise point positioning (PPP). This paper proposes a deep-learning-based multipath hemispherical grid correction model (DL-MHM) that integrates combined filtering and satellite embedding mechanisms. The model adopts the multi-system interoperable MHM framework to achieve effective multipath error correction. First, pseudorange and carrier phase observation residuals are calculated using the ionosphere-free combination for PPP. Then, a joint median and Kalman filtering scheme is applied to suppress noise in multi-day continuous residual sequences. A transformer-based time-series learning model is constructed, which introduces satellite-specific embedding vectors to characterize the differences between individual satellites and deeply fuse temporal features. This enables the model to adaptively fit the residual variation patterns of different satellites and accurately extract multipath errors. Finally, the multipath components predicted by the deep learning model are incorporated into the multi-system interoperable MHM model to generate the final multipath corrections. Test results show that in heavily obstructed urban scenarios, the root mean square (RMS) values of the east (E), north (N), and up (U) coordinate residuals are improved by 49.27%, 1.80%, and 3.35%, respectively, after DL-MHM correction compared to the uncorrected data. In open-sky environments, the corresponding improvements are 7.70%, 5.48%, and 34.28%. In all experimental scenarios, the proposed method outperforms both the conventional multipath hemispherical map (MHM) model and the convolutional neural network-long short-term memory (CNN-LSTM)-based MHM model in terms of overall multipath correction performance. The experimental results demonstrate that the proposed DL-MHM model can effectively mitigate multipath errors in complex urban scenarios and significantly improve the accuracy of GNSS precise positioning. Full article

Commercial lead zirconate titanate (PZT) ceramics are widely employed in electromechanical devices due to their excellent piezoelectric response and operational stability. This study investigates the influence of polarization temperature and time on the electromechanical performance of commercial Sparkler PZT-4 (Navy Type I) ceramics. Samples were compacted, sintered at 1230 °C, and polarized under temperatures ranging from 80 to 110 °C for 2, 8, and 15 min using a constant electric field of 3.0 kV/mm. Microstructural, physical, and crystallographic analyses confirmed the successful processing of the ceramics, yielding an apparent density of 7.68 g/cm³, relative density of 96.02%, and the predominance of the tetragonal Pb(Zr,Ti)O₃ perovskite phase. Electromechanical characterization revealed a strong dependence of the piezoelectric coefficient (d₃₃) and electromechanical coupling factor (K_p) on the polarization conditions. Maximum values of d₃₃ = 325.8 pC/N and K_p = 0.509 were obtained under elevated temperatures and longer polarization times. A phenomenological Avrami approach indicated faster apparent domain alignment at higher temperatures, while ANOVA and Tukey tests confirmed the significant influence of polarization parameters on the electromechanical response. The results identify favorable polarization conditions for commercial PZT-4 ceramics used in sensors, actuators, and ultrasonic transducers. Full article

Higher-education institutions increasingly use AI-enabled chatbots, personalised communication, recommendation systems, and predictive information services in academic marketing. Adoption of these systems depends not only on technical availability, but also on institutional trust, emotional engagement, and skepticism regarding the reliability, transparency, and autonomy implications of AI. This study examines the Trust-Tech Nexus framework using stakeholder survey data collected at MIT Art, Design and Technology University, Pune, India (N = 300). The analysis combines psychometric validation, WLSMV confirmatory factor analysis for ordered indicators, and cross-validated predictive modelling. Four three-item constructs were measured with five-point Likert indicators, as follows: AI Adoption, Institutional Trust, Emotional Engagement, and AI Skepticism. Reliability and convergent validity were acceptable, and the WLSMV CFA showed strong practical fit (CFI = 0.991, TLI = 0.988, RMSEA = 0.040, SRMR = 0.039). Discriminant validity was supported by HTMT and Fornell–Larcker evidence, while Harman’s single-factor result was treated only as an initial diagnostic. Construct-only ridge regression produced positive out-of-sample predictive evidence (CV R-squared = 0.352; RMSE = 0.642; MAE = 0.501). Exploratory classification results were moderate and are interpreted only as supplementary segmentation evidence because the binary targets were derived from the AI Adoption composite. The study supports a validated four-construct measurement structure and moderate predictive association in one institutional context, while avoiding causal claims. Full article

Sacroiliac joint (SIJ) disruption alters posterior pelvic ring stability and can produce abnormal sacral stress redistribution; the symmetry of sacral load transfer following different fixation strategies remains controversial. This study compared sacral stress patterns under unilateral and bilateral SIJ instability for three fixation constructs using a three-dimensional finite element (FE) model. A lumbosacral–pelvic FE model was reconstructed from computed tomography data of a healthy adult and validated against previously published pelvic biomechanical data. SIJ instability was simulated by reducing the friction coefficient to represent ligamentous failure. Three fixation constructs were analyzed: anterior plate combined with posterior screw fixation (Model 1), spinopelvic fixation (Model 2), and hybrid fixation (Model 3). A 750 N axial compressive load was applied to simulate static standing. Peak sacral von Mises stress, stress amplification factors (SAFs), and left–right asymmetry ratios were computed and compared with the intact reference. Model 1 produced the highest sacral stress amplification (SAF = 3.46 under unilateral instability; peak stress 265.40 MPa). Model 2 reduced peak sacral stress (125.66 MPa under bilateral instability; SAF = 1.64), but values remained above the intact-model baseline. Model 3 yielded sacral stress closest to the intact condition under bilateral instability (81.64 MPa; SAF = 1.06), with near-symmetric load distribution in the bilateral injury configuration. Fixation topology strongly influenced sacral load transfer: hybrid fixation (Model 3) produced sacral stress magnitudes closest to the intact model, particularly under bilateral instability, whereas spinopelvic fixation (Model 2) showed more consistent left–right symmetry under unilateral injury. No single construct was superior across all symmetry-related outcomes. Hybrid stabilization may provide a biomechanically balanced approach to highly unstable posterior pelvic ring injuries under the simulated static axial-loading conditions. Full article

Background: Endothelial dysfunction and renal injury are emerging as a common feature of long COVID, especially in those with hypertension. It is not yet well characterised whether SARS-CoV-2 infection exacerbates podocyte dysfunction, fibrotic signalling and renal hemodynamic remodelling, over and above the effects of hypertension alone and there are no reliable early biomarkers in this population. Methods: We conducted a comparative cross-sectional study with prospective 6-month treatment response follow-up in 120 adult patients (aged 30–60 years) with essential hypertension (Stage I, II or III; n = 40 per stage), at Bukhara Regional Multidisciplinary Hospital. Each stage subgroup was further divided into post-COVID (3–6 months after recovery; n = 20) and non-COVID (n = 20) strata. Patients with diabetes, known chronic kidney disease, previous myocardial infarction or stroke and other major comorbidities were excluded. Serum cystatin-C, creatinine, aldosterone, TGF-β1 and VEGF-A; urinary nephrin and microalbumin; cystatin-C-derived eGFR (CKD-EPI) and oral protein-loaded renal functional reserve (RFR); and renal Doppler indices (Vps, Ved, RI, PI) of the main, segmental and interlobar arteries were assessed before and after 6 months of guideline-based renin–angiotensin–aldosterone system (RAAS) blockade (enalapril 5–10 mg or azilsartan 40–80 mg, ±eplerenone). Comparisons were made by Student’s t-test—associations by Pearson correlation. Results: At baseline, post-COVID hypertensive patients exhibited consistently higher endothelial–podocyte injury markers than non-COVID counterparts. Urinary nephrin was elevated across all stages (Stage I: 126.5 ± 9.1 vs. 91.9 ± 8.3 pg/mL, p < 0.01; Stage III: 203.3 ± 11.2 vs. 164.5 ± 9.7 pg/mL, p < 0.05), as were VEGF-A (Stage III: 286.1 ± 16.4 vs. 223.2 ± 12.6 pg/mL, p < 0.01) and TGF-β1 (Stage III: 186.4 ± 10.1 pg/mL, 1.3-fold higher; p < 0.01). The detection of microalbuminuria was 100% in Stage III post-COVID patients and 85% in non-COVID controls. The post-COVID groups had selective loss of renal functional reserve (7.8 ± 1.1% in Stage III compared to 12.5 ± 1.6% in non-COVID controls, p < 0.001). Nephrinuria correlated strongly with RFR (r = −0.824, p < 0.001), eGFR (r = −0.797, p < 0.001) and aldosterone (r = 0.613, p < 0.001). Six months of RAAS blockade reduced nephrinuria, microalbuminuria and TGF-β1 in both arms but the magnitude of biomarker reduction appeared smaller in the post-COVID group, particularly in Stage III. Conclusions: Long COVID appears to be associated with persistent endothelial dysfunction and podocyte injury in hypertensive patients. These results indicate that nephrinuria, VEGF-A, TGF-β1 and renal functional reserve are potential exploratory markers of endothelial and renal abnormalities in hypertensive patients following COVID-19. Before clinical utility can be determined, larger studies with multivariable modelling, diagnostic-performance analyses and correction for multiple testing are needed. The differences in biomarker response between groups observed in this study need to be confirmed in larger prospective studies with multivariable modelling and formal interaction analyses. Full article

In Optical Camera Communication (OCC), precise localization of LED arrays under complex tilt conditions is a core challenge for reliable decoding. This paper proposes an OCC reception scheme for RGB-LED arrays that integrates YOLO-OBB rotated object detection with two-stage geometric correction. The system first employs a YOLOv8n-OBB model to extract a quadrilateral region of interest that tightly encloses the LED array boundary. This effectively suppresses background interference caused by superimposed perspective tilt and in-plane rotation. A coarse-to-fine two-stage correction framework is then applied. The first stage rapidly eliminates the dominant perspective distortion based on the detected bounding-box corners. The second stage performs a refined correction using the actual LED center positions. Two homography matrices are cascaded into a combined transformation, achieving two-stage correction accuracy through a single coordinate mapping. In the corrected image, K-Means clustering constructs a 16 × 16 LED topological grid. A locking strategy is adopted so that subsequent frames skip repeated LED detection and clustering. The steady-state per-frame processing time is reduced to approximately 78.9 ms. Experiments covered 16 cross-combinations of vertical tilt from 0° to 45° (0°, 15°, 30°, 45°) and in-plane rotation from 0° to 40° (0°, 15°, 30°, 40°). The uncorrected scheme and the horizontal-box scheme experienced severe bit errors or complete failure under complicated distortion. The proposed scheme maintained error-free transmission under all 16 tested conditions. The ratios of opposite sides of the corrected LED grid remained stable between 0.997 and 1.004. The system simultaneously achieves high reliability and low-latency real-time processing under complex geometric distortions. Full article

This study investigated the associations among dam lactation number, passive immunity transfer, internal parasite burden, and weaning performance in female calves. Early consumption of high-quality colostrum is critical for effective passive immunity transfer, calf health, and long-term productivity. Colostrum composition may vary with management practices and dam lactation number, potentially influencing immunity and disease susceptibility. Forty-five cows and their female offspring (n = 45) were allocated to three groups by lactation number: first lactation (LAC1), second lactation (LAC2), and third lactation (LAC3) (15 cows and 15 calves per group). Calf birth weight was recorded. Colostrum immunoglobulin G (IgG) concentration was measured using a colostrometer and refractometer, and chemical composition (fat, protein, and non-fat solids) was analyzed. Fecal samples collected at 30, 60, and 90 days of age were examined for Eimeria spp. Colostrum IgG concentration, °Brix percentage, specific gravity, and non-fat solids did not differ among lactation groups (p > 0.05). LAC3 cows had higher colostrum protein content, while LAC1 cows had greater fat concentration (p < 0.05). Calves from LAC1 dams were lighter at birth than those from LAC2 and LAC3 dams (p < 0.001). The prevalence of Eimeria spp. was not influenced by lactation number, birth weight, or colostrum quality (p > 0.05), but treatment costs were higher in calves from LAC3 dams (p < 0.01). In conclusion, lactation number affected colostrum composition and calf growth but did not alter IgG concentration, underscoring the importance of effective colostrum management to improve calf performance and dairy system sustainability. Full article

Bonellia viridis, an echiuran polychaete that inhabits infralittoral rocky habitats around the Atlantic, Mediterranean, and Southeastern Pacific coastlines, exhibits environmentally mediated sexual dimorphism: planktonic larvae develop into dwarf males after exposure to bonellin, a green pigment produced by adult females. Bonellin is a chlorin with a structure consistent with derivation from uroporphyrinogen III, the last universal precursor of all known tetrapyrroles, yet its biosynthesis remains unknown. Here, the de novo genome assembly for a single adult female specimen of B. viridis isolated from Okinawa has been generated (via Illumina sequencing) and found to comprise 429.95 Mb across 95,859 contigs, with an N50 of 6505 bp, recovering 83.3% of near-universal metazoan BUSCO orthologs. Homologs of all canonical enzymes of the heme biosynthetic pathway (termed hem genes) were identified across the genome. The genomic resources establish a foundation for research into the biochemical basis of pigment production, chemically mediated sex determination, and the distinct biology of B. viridis. Full article

Superheavy and hyperheavy nuclei are one of the frontiers of nuclear structure nowadays, while for many actinides rather limited experimental information exists. Therefore, theoretical methods providing parameter-independent predictions for these nuclei are of particular interest. Such a method is the proxy-SU(3) approximation to the shell model, which has been adequately tested against experimental data in medium-mass and heavy nuclei up to the rare-earth region, and it has been found to provide reliable, parameter-independent predictions for the collective deformation variables $\beta$ and $\gamma$. Within the proxy-SU(3) approach, the SU(3) symmetry of the three-dimensional harmonic oscillator, which is destroyed beyond the $sd$ shell by the strong spin–orbit interaction, is restored through a unitary transformation. For each nucleus, the most symmetric irreducible representation (irrep) allowed by the Pauli principle and the short-range nature of the nucleon–nucleon interaction, called the highest-weight (hw) irrep in mathematical language, is found to suffice, except in cases in which the hw irrep turns out to be completely symmetric, so that the next highest weight (nhw) irrep has also to be included. In this article we provide a full collection of the hw and nhw irreps, as well as of the corresponding parameter-free predictions for the deformation variables $\beta$ and $\gamma$, for all atomic nuclei ranging from $Z=82$, $N=82$ to $Z=126$, $N=258$. Several cases exemplifying the use of the collected results for studying the prolate-to-oblate shape transition, mirror symmetries, and the evolution of the collective variables along the valley of stability are also considered. Full article

Adverse imaging conditions such as fog, rain, and low light degrade the reliability of vision-based Personal Protective Equipment (PPE) detection systems on construction sites, yet most existing models are trained under clear-weather assumptions. This paper introduces a physics-based weather augmentation framework integrated with the YOLOv8n architecture to improve PPE detection robustness under adverse environmental conditions. The original Color Helmet and Vest (CHV) dataset was expanded from 1330 clear-weather images to 6650 images across five conditions using four physically grounded augmentation models: the Koschmieder atmospheric scattering model for fog, the Garg–Nayar streak model for rain, gamma-corrected attenuation with Poisson–Gaussian noise for low light, and a PSF-based glare model for bright sunlight. The weather-resistant model, a clear-weather baseline, and an augmented baseline were evaluated on the same 665-image weather-augmented test set. The weather-resistant model achieves 89.2% mAP50, a 5.7 percentage-point improvement over the clear-weather baseline (83.5%), with a nearly four-fold improvement in cross-condition stability (standard deviation 1.5% vs. 5.7%). Under matched training-data volume, the weather-resistant model still outperforms a conventionally augmented baseline across all five simulated conditions, indicating that these gains stem from physics-based modeling rather than larger training-data volume. The largest gain occurs under low light, where mAP50 improves from 73.4% to 87.9%. Gradient-weighted Class Activation Mapping (Grad-CAM) analysis confirms that the weather-resistant model directs more attention toward PPE regions across all conditions, with the largest improvement under low light (+10.0 percentage points). The lightweight design (3.0 M parameters) and quantitative and qualitative validation on 205 annotated real-world construction site images under normal and low-light conditions provide preliminary evidence of practical applicability. Full article

Transmissible venereal tumor (TVT) is a contagious neoplasm affecting dogs, commonly treated with vincristine sulfate, although this protocol may be associated with adverse effects and the need for multiple therapeutic sessions. In this context, adjuvant therapies have been investigated to optimize clinical outcomes. This study evaluated the effect of conventional and ozonated autohemotherapy on the number of chemotherapy sessions required to achieve complete remission of TVT. Fifteen dogs with a confirmed diagnosis were randomly allocated into three groups: control (vincristine, n = 5), conventional autohemotherapy associated with vincristine (AHTm, n = 5), and ozonated autohemotherapy associated with vincristine (AHTmO₃, n = 5). The animals were evaluated weekly through clinical, cytological, hematological, and biochemical examinations. The primary outcome was the number of sessions required to achieve complete remission. A significant reduction was observed in the AHTm (p = 0.032) and AHTmO₃ (p = 0.008) groups compared to the control group. No differences were found in laboratory parameters. The findings suggest that autohemotherapy, particularly in its ozonated form, may serve as a promising adjuvant strategy. However, studies with larger sample sizes are needed. Full article