Search Results (24,712)

Background/Objectives: Satellite DNAs (satDNAs) are tandemly repeated sequences that play essential roles in chromosome structure, genome organization, and evolution. Despite their importance, the satellitome (the complete collection of satDNAs) of most avian lineages remains unexplored. We sought to describe the repeatome of three trogonid species, Trogon surrucura, T. melanurus, and Apaloderma vittatum with a focus on the satellitome to evaluate the general features of this lineage. Methods: Herein, we provide the first comparative characterization of the repeatome, with a particular focus on the comparative characterization of satDNAs in three trogonid species: T. surrucura, T. melanurus, and A. vittatum. Using a combination of bioinformatic pipelines and cytogenetic approaches. Results: We identified 16 satDNA families in T. surrucura, 15 in T. melanurus, and only 3 in A. vittatum. Sequence comparisons revealed that five families are shared between the two Trogon species, consistent with the library hypothesis, whereas no satDNAs were shared with A. vittatum. While both Trogon species exhibited a predominance of GC-rich repeats, A. vittatum represents the first bird described with a satellitome dominated by AT-rich satDNAs. In situ mapping in T. surrucura revealed chromosome-specific satDNAs restricted to pairs 1 and 2 and a Z-specific repeat that was strongly accumulated on its long arms, an atypical feature among birds. Conversely, the W chromosome showed a surprisingly low number of satDNAs, limited to centromeric signals. Conclusions: Our results reveal highly divergent satellitome landscapes among trogonids, characterized by lineage-specific differences in repeat composition, abundance, and chromosomal distribution. These findings support the view that satDNAs are dynamic genomic elements, whose amplification, loss, and chromosomal redistribution can influence genome architecture and play a role in avian speciation. Full article

Accurate pose estimation of non-cooperative space objects is crucial for applications such as satellite maintenance, space debris removal, and on-orbit assembly. However, monocular pose estimation methods face significant challenges in environments with limited visibility. Different from the traditional pose estimation methods that use images from a single band as input, we propose a novel deep learning-based pose estimation framework for non-cooperative space objects by fusing visible and infrared images. First, we introduce an image fusion subnetwork that integrates multi-scale features from visible and infrared images into a unified embedding space, preserving the detailed features of visible images and the intensity information of infrared images. Subsequently, we design a robust pose estimation subnetwork that leverages the rich information from the fused images to achieve accurate pose estimation. By combining these two subnetworks, we construct the Visible and Infrared Fused Pose Estimation Framework (VIPE) for non-cooperative space objects. Additionally, we present a Bimodal-Vision Pose Estimation (BVPE) dataset, comprising 3,630 visible-infrared image pairs, to facilitate research in this domain. Extensive experiments on the BVPE dataset demonstrate that VIPE significantly outperforms existing monocular pose estimation methods, particularly in complex space environments, providing more reliable and accurate pose estimation results. Full article

Symmetric cryptography is essential for secure communication as it ensures confidentiality by using shared secret keys. This paper proposes a novel substitution-permutation network (SPN) that integrates Latin squares, permutations, and Reed-Muller (RM) codes to achieve robust security and resilience. As an adaptive design using binary representation with base-n Latin square mappings for non-linear substitutions, it supports any n (Codeword length and Latin square order), k (RM code dimension), d (RM code minimum distance) parameters aligned with the Latin square and $\mathrm{RM}(n,k,d)$ codes. The scheme employs $2{log}_{2}n$-round transformations using ${log}_{2}n$ permutations ${\rho }_z$, where in the additional ${log}_{2}n$ rounds, row and column pairs are swapped for each pair of rounds, with key-dependent ${\pi }_z$ permutations for round outputs and fixed ${\rho }_z$ permutations for codeword shuffling, ensuring strong diffusion. The scheme leverages dynamic Latin square substitutions for confusion and a vast key space, with permutations ensuring strong diffusion and $\mathrm{RM}(n,k,d)$ codes correcting transmission errors and enhancing robustness against fault-based attacks. Precomputed components optimize deployment efficiency. The paper presents mathematical foundations, security primitives, and experimental results, including avalanche effect analysis, demonstrating flexibility and balancing enhanced security with computational and storage overhead. Full article

This study explored IgG N-glycosylation pattern differences in maternal and infant serum in the context of gestational diabetes mellitus (GDM). Serum samples from 15 mother–infant pairs were collected at 12 weeks postpartum and categorized according to maternal body mass index (BMI) and GDM status. The N-glycosylation patterns of the isolated IgG pools were analyzed by capillary electrophoresis with laser-induced fluorescence detection (CE-LIF). Descriptive comparison of the relative area percentage of IgG N-glycan structures revealed differences between the groups. Comparison of the maternal and infant sialo-form/neutral-form ratio (SF/NF) of the N-glycans suggested differences between control mothers and their children, as well as between obese mothers and their children. The maternal SF/NF ratio of IgG varied between the obese and normal-weight GDM mothers. The SF/NF ratios of IgG from the infants showed variation between infants of control mothers and infants of obese mothers, between infants of obese and infants of obese GDM mothers, and between infants of GDM with normal-weight and GDM with obese mothers. The observed differences in maternal and infant IgG N-glycosylation profiles suggest potentially selective placental transfer mechanisms. Full article

Parental permissiveness toward alcohol use is associated with increased drinking among college students. In the U.S., Greek-affiliated students drink more and experience more negative consequences than other students. This study explored associations among student Greek affiliation, parental permissiveness toward heavy episodic drinking (HED), and alcohol use outcomes among first-year college students. Parent-student dyads (n = 294) completed surveys during high school and the first semester of college at a large public university in the U.S. Paired- and independent-samples t-tests and regression analyses were conducted. Parental permissiveness toward HED was higher among Greek-affiliated students than non-Greek-affiliated students, from parent and student perspectives, before and during college. In regression analyses, student Greek affiliation and perceived parental permissiveness were associated with greater alcohol use and HED. Greek status moderated associations between perceived parental permissiveness of HED and alcohol use (but not HED) such that the relationship was less pronounced for Greek-affiliated students compared to non-Greek-affiliated students. Our results suggest that interventions that aim to reduce perceived parental permissiveness toward HED, such as parent-based normative feedback interventions, may be an effective strategy to reduce drinking among first-year Greek-affiliated students. Full article

This study deals with the effectiveness of casing-injection for a few squealer tip designs in a turbine stage to mitigate tip leakage penalties. Seventy-two Unsteady Reynolds-Averaged Navier–Stokes (URANS) simulations were conducted. Five factors were examined: number of injection holes, axial position, jet inclination, blowing ratio, and hole diameter. The ideal configuration demonstrated the highest aerodynamic loss reduction compared to the baseline flat tip by 2.66%. The optimal injection scheme was integrated with three tip-rim topologies: complete channel squealer, suction-side partial squealer, and pressure-side partial squealer. The channel squealer enhances the advantageous effects of injection; the injected jets produce a counter-rotating vortex pair that disturbs the tip leakage vortex core, while the cavity formed by the squealer rim captures low-momentum fluid, thus thermally protecting the tip surface. The injection combined with channel squealer had the highest stage isentropic efficiency and the lowest total-pressure loss, thereby validating the synergy between active jet momentum augmentation and passive geometric sealing. The best configuration shows a 2.87% total pressure loss decrement and a 4.49% total-to-total efficiency increment compared to the baseline design. The best configuration not only improved stage efficiency but also achieved a 43.9% decrease in the tip heat transfer coefficient. Full article

The application of efficient optical-electrical sorting technology for the automatic separation of copper mine waste rocks not only enables the recovery of valuable copper metals and promotes the resource utilization of non-ferrous mine waste, but also conserves large areas of land otherwise used for waste disposal and alleviates associated environmental issues. However, the process is challenged by the low copper content, fine dissemination of copper-bearing minerals, and complex mineral composition and associated relationships. To address these challenges, this study leverages dual-energy X-ray imaging and multi-modal learning, proposing a lightweight twin-tower convolutional neural network (CNN) designed to fuse high- and low-energy spectral information for the automated sorting of copper mine waste rocks. Additionally, the study integrates an emerging Kolmogorov-Arnold network as a classifier to enhance the sorting performance. To validate the efficacy of our approach, a dataset comprising 31,057 pairs of copper mine waste rock images with corresponding high- and low-energy spectra was meticulously compiled. The experimental results demonstrate that the proposed lightweight method achieves competitive, if not superior, performance compared to contemporary mainstream deep learning networks, yet it requires merely 1.32 million parameters (only 6.2% of ResNet-34), thereby indicating extensive potential for practical deployment. Full article

This research examines the otolith microchemical characteristics of the critically endangered kunming snout trout (Schizothorax grahami) collected from the sources section endemic to the Chishui River, China, a tributary of the upper Yangtze River, and the metal concentrations in the water of fish habitats. Among the analyzed elements, strontium (Sr) exhibited consistent distribution patterns across otolith rings, as observed through face-scan imagery (scanning the polished surface of the otolith cut), with a relatively low coefficient of variation. Statistical analysis using a paired two-tailed t-test revealed significant differences in Sr:Ca ratios among samples from the three river sections. Notably, magnesium (Mg) levels in the otolith core during the early life stages of the fish were notably higher compared to non-core regions. Similarly, Mg concentrations of water were elevated in the spawning grounds relative to non-spawning areas. This suggests that otolith Mg content may be influenced by the specific water conditions of the spawning grounds. Furthermore, Mg:Ca ratios in the otolith core displayed significant variation among samples from U3, L2, and other sites, implying that the fish in these samples originated from distinct spawning locations. These findings demonstrate that strontium and magnesium in otoliths can serve as effective markers for reconstructing the life history of S. grahami in the Chishui River and can contribute to the management of different fish stocks. Full article

In Lolium perenne, a novel growth habit mutant, named VIROIZ, was recovered following colchicine treatment, and it was confirmed to maintain the diploid chromosome number (2n = 2x = 14). The mutation affected the stem morphology by inducing prolific axillary shoot formation at nodal zones, resulting in a spreading growth habit that can extend to ~70 cm in width. Inheritance analysis based on single-plant evaluations in crosses with wild-type plants (F₁, n = 285; F₂, n = 380) and in selfed progeny (S₁, n = 255) consistently showed ~40% expression of the spreading phenotype, deviating from classical Mendelian ratios and indicating complex genetic control. Phenotypic selection further distinguished divergent classes: positively selected lines (C1⁺) averaged 3.90 axillary tillers per stem, whereas negatively selected lines (C1⁻) averaged only 0.22. Partial sequencing of 11 candidate genes implicated in shoot architecture, covering 40–90% of full-length DNA, did not provide a conclusive explanation for the altered stem growth. Notably, a single point mutation was observed in CRT3 (an endoplasmic reticulum chaperone that interacts with brassinosteroid signaling) highlighting it as a primary target for future studies. Cytological analysis of meiosis in F₁ hybrids between VIROIZ and wild-type plants revealed irregular chromosome pairing with persistent univalents (2–4 per cell), supporting the presence of structural chromosomal rearrangements that may disrupt gene organization and function in VIROIZ. The non-Mendelian segregation of the spreading phenotype, together with the observed meiotic irregularities, suggests that the mutation affects regulatory genes responsive to hormonal signals controlling axillary meristem initiation. The mutant represents a valuable resource for turf-type L. perenne breeding and for studying hormonal regulation of shoot morphogenesis in Poaceae. Full article

Solvent-assisted steam-assisted gravity drainage (SA-SAGD) is an advanced hybrid oil recovery technique designed to enhance the extraction of heavy oil and bitumen. Unlike the conventional SAGD process, which relies solely on thermal energy from injected steam, SA-SAGD incorporates a coinjected solvent phase to improve oil mobility through the combined action of heat and mass transfer. This synergistic mechanism significantly reduces the demand for water and natural gas used in steam generation, thereby improving the energy efficiency and environmental sustainability of the process. Importantly, SA-SAGD retains the same well pair configuration as SAGD, meaning that its implementation often requires minimal modifications to existing infrastructure. This study explores the residual oil saturation following multi-component solvent coinjection in SA-SAGD using a linear sand pack model designed to emulate the properties and operational parameters of the Long Lake reservoir. Experiments were conducted with varying constant concentrations of cracked naphtha and gas condensate to assess their effectiveness in enhancing bitumen recovery. The results reveal that the injection of 15 vol% cracked naphtha achieved the lowest residual oil saturation and the highest rate of oil recovery, indicating superior solvent performance. Notably, gas condensate at just 5 vol% concentration outperformed 10 vol% cracked naphtha, demonstrating its effectiveness even at lower concentrations. These findings provide valuable insight into the phase behaviour and recovery dynamics of solvent–steam coinjection systems. The results strongly support the strategic selection of solvent type and concentration to optimise recovery efficiency while minimising steam consumption. Furthermore, the outcomes offer a robust basis for calibrating reservoir simulation models to improve the design and field-scale application of SA-SAGD, particularly in pilot operations such as those conducted by Nexen Energy ULC in the Athabasca Oil Sands. Full article

Objective: Postprandial hyperglycemia is a major risk factor for type 2 diabetes and cardiovascular disease. Inhibition of α-amylase and α-glucosidase can attenuate postprandial glycemic response (PPGR). This study aimed to investigate the inhibitory effects of mulberry leaf and corn silk on these enzymes in vitro and their impact on postprandial glucose (PG) levels in prediabetic individuals using milk-based matrices. Research Design and Methods: In vitro, enzyme inhibition was assessed using the DNS method (α-amylase) and pNPG method (α-glucosidase). A randomized crossover trial was conducted in 11 prediabetic individuals with four interventions: pure milk; lactose-hydrolyzed milk; lactose-hydrolyzed milk with mulberry leaf, corn silk, and resistant dextrin; and GOS milk with mulberry leaf and corn silk. PPGR was assessed by area under the glucose curve, 1 and 2 h PG, maximum PG, and 2 h glucose excursion. Paired Wilcoxon signed-rank tests were used for comparisons. Results: Mulberry leaf and corn silk extracts inhibited both enzymes dose-dependently, with synergistic effects. No significant differences in PPGR indices were observed across interventions in the overall prediabetic individuals. However, in the overweight subgroup, the combination of GOS milk supplemented with mulberry leaf and corn silk significantly reduced 1 h PG (median difference [P25, P75]: −0.84 mmol/L [−1.05, −0.49]), maximum PG (−0.54 mmol/L [−0.75, −0.25]), and glucose excursion (−0.62 mmol/L [−0.75, −0.24]) compared to pure milk. Conclusions: Mulberry leaf and corn silk extracts inhibit α-amylase and α-glucosidase in vitro and may attenuate postprandial glucose excursions in overweight prediabetic individuals when delivered in a GOS milk matrix. Full article

Background and Objectives: Chronic low back pain (CLBP) is associated with altered neuromuscular control. Dynamic Neuromuscular Stabilization (DNS) targets core–limb coordination; however, its specific impact on lower-limb electromyographic (EMG) activity during gait remains unclear. Materials and Methods: Fifty-five young adults with non-specific CLBP (pain ≥ 3 months with no identifiable specific pathology) completed the trial (overall mean age 23.7 ± 1.3 years). Participants were randomized to an 8-week DNS program or a control. Pre-/Post-intervention surface EMG during gait and clinical outcomes (VAS, ODI) were assessed. Results: Compared with control, DNS showed lower adjusted Post-test VAS (3.08 ± 0.25 vs. 6.13 ± 0.24; ηp² = 0.596) and ODI (15.73 ± 1.55% vs. 34.36 ± 1.52%; ηp² = 0.579). Directionally, DNS was associated with phase-specific EMG modulation: tibialis anterior during mid-stance was lower (ηp² = 0.137), rectus femoris during push-off was lower (ηp² = 0.119), biceps femoris during push-off was lower (ηp² = 0.168), and vastus medialis at heel-strike was higher (ηp² = 0.077) relative to control. Other muscle–phase pairs showed no adjusted between-group differences. Conclusions: An 8-week DNS program was associated with clinically meaningful reductions in pain and disability and with phase-specific changes in lower-limb EMG during gait. These findings support DNS as a promising rehabilitation option for young adults with CLBP; confirmation in larger trials with active comparators is warranted. Full article

Pyrolysis has emerged as a commercially viable material recovery process that supports circularity in the tyre industry. Here, it is demonstrated that a high degree of control can be imparted over the UK tyre waste stream and that statistically different feedstocks can be used to produce different grades of rCB based on their ash contents. The lower ash content rCB produced from truck tyres had superior in-rubber properties, closely matching those of the N550 reference. Silica, when not paired with a coupling agent, is known to be less reinforcing than CB, lowering the reinforcing behaviour of the high ash content rCB variant produced from car tyres. This justifiably places ash content within the classification and specification development discussion. However, a proximate analysis of UK waste tyres suggests that the typical rCB ash specifications of <20 wt% are unrealistic. Such limits would force producers to consider modifying process conditions to allow the deposition of carbonaceous residues to artificially dilute the ash content. This study investigates this process philosophy but conclusively demonstrates that carbonaceous residue is more detrimental to rCB performance than ash content. As such, carbonaceous residue content demands far more attention from the industry than it is currently afforded. Full article

Sex-specific markers are important basic tools for the sex-controlled breeding of farmed fish. Here, we aimed to develop a rapid yet accurate, cost-effective method for determining the genetic sex of the Chinese hooksnout carp (Opsariichthys bidens), a freshwater fish. Using whole-genome resequencing technology, along with bulked segregant analysis (BSA) and chromosome quotient (CQ) methods, sex-specific regions were screened, and corresponding primers were designed to validate the screening results. A total of 45 sex-specific regions were successfully screened through BSA sequencing and CQ analysis, and 50 pairs of primers were designed for use in the screening verification. The Mar28 primer pair showed stable sex specificity in multiple populations of O. bidens, accurately distinguishing male from female individuals. This primer pair amplified two bands (509 and 814 bp) in males, but only one band (509 bp) in females. The genetic sex identification method established here provides a theoretical basis for studying the mechanism of sex determination in O. bidens, has implications for the monosex culture and molecular breeding of O. bidens, and has significant scientific and practical value. Full article

Accurately quantifying grazing intensity (GI) is crucial for assessing grassland utilization and supporting sustainable management. Traditional livestock-based approaches cannot capture the spatial heterogeneity of grazing or its dynamic response to climate variability. The objective of this study was to develop a remote sensing-based quantitative framework for estimating GI across the Inner Mongolian grasslands. The framework integrates MODIS vegetation indices, ERA5-Land climate variables, topographic factors, and field-measured data and GI was quantified as the proportional difference between potential and satellite-derived aboveground biomass (AGB), providing a spatially explicit measure of forage utilization. In this framework, potential AGB (AGBp) represents the climate-driven growth capacity under ungrazed conditions reconstructed using machine learning models, whereas satellite-derived AGB (AGBs) denotes the standing AGB remaining under current grazing pressure. Validation using 324 paired grazed–ungrazed plots demonstrated strong agreement between modeled and observed GI (R² = 0.65, RMSE = 0.18). This AGB-difference-based approach provides an effective and scalable tool for large-scale rangeland monitoring, offering quantitative insights into grass–livestock balance, ecological restoration, and adaptive management in arid and semi-arid regions. Full article