Efficient and consistent string processing is critical in the exponentially growing genomic data era. Locally Consistent Parsing (LCP) addresses this need by partitioning an input genome string into short, exactly matching substrings (e.g.,"cores"), ensuring consistency across partitions. Labeling the cores of an input string consistently not only provides a compact representation of the input but also enables the reapplication of LCP to refine the cores over multiple iterations, providing a progressively longer and more informative set of substrings for downstream analyses. We present the first iterative implementation of LCP with Lcptools and demonstrate its effectiveness in identifying cores with minimal collisions. Experimental results show that the number of cores at the i^th iteration is O(n/c^i) for c ~ 2.34, while the average length and the average distance between consecutive cores are O(c^i). Compared to the popular sketching techniques, LCP produces significantly fewer cores, enabling a more compact representation and faster analyses. To demonstrate the advantages of LCP in genomic string processing in terms of computation and memory efficiency, we also introduce LCPan, an efficient variation graph constructor. We show that LCPan generates variation graphs>10x faster than vg, while using>13x less memory.

We study strong-field ionization by quantum lights with emphasis on high-order above-threshold ionization and the intensity-dependent enhancements in the photoelectron spectra. We find that the length of the plateau in the photoelectron energy spectrum generated by such quantum lights can be extended by an order of magnitude in comparison with that generated by the classical coherent laser light and that within this plateau resonantly enhanced groups of sharp peaks appear at energies which are integer multiple of the photon energy. We relate the observed intensity-dependent enhancements to the channel closing effect. Our results are particularly interesting in the context of the recent interplay and merging of quantum optics with strong-field physics and attoscience.

This paper systematically analyzes the challenges of stabilizing tunnel excavations in zones with low overburden in urban environments, through an engineering-validated case study of the Kobilja Glava Tunnel. A combined approach involving the New Austrian Tunneling Method (NATM) and the pre-installation of steel pipe umbrellas was applied as the primary pre-support measure under complex geotechnical conditions. The design, drilling, grouting, and formation of the temporary support arch were thoroughly documented, along with the implementation of shotcrete, lattice girders, self-drilling anchors, and reinforcement meshes. A numerical analysis was performed using the PLAXIS 2D software package, encompassing the modeling of deformations, shear forces, axial forces, and bending moments, with precisely defined support parameters. Geodetic monitoring recorded maximum surface settlements of up to 70 mm at an overburden of less than 3 m, while deformations were reduced to 28 mm at an overburden of 20 m. The numerical model confirmed soil plasticization within a 3 m wide zone, with maximum displacements reaching 6.3 cm, consistent with field measurements. Calculated tensile strain and angular distortion were classified according to established building damage criteria, confirming minimal structural impact on adjacent buildings. The applied combination of the NATM and the pipe umbrella pre-support system proved to be an effective and reliable solution for controlling deformations and ensuring excavation stability under conditions of limited rock cover and dense urban development. The obtained results provide a verified framework and practical recommendations for future tunneling projects in similar geotechnical and urban conditions, aiming to enhance safety, stability, and cost-effectiveness.

BACKGROUND The value of intravenous thrombolysis (IVT) prior to endovascular therapy (EVT) with emergent stenting for intracranial atherosclerotic disease (ICAD)-large vessel occlusion (LVO) is unknown. We aimed to investigate the safety and efficacy of IVT among patients with adjuvant intracranial stenting after EVT. METHODS RESISTANT is a study of consecutive acute ischemic stroke patients who underwent EVT and intracranial stenting from 36 comprehensive stroke centres in 7 countries across 3 continents. The primary outcome of interest was ordinal shift of the modified Rankin Scale (mRS) score at 90-days after the intervention. Secondary outcomes were excellent outcome (mRS 0-1) and functional independence (mRS 0-2) at 90-days. Safety outcomes were rates of symptomatic intracranial hemorrhage (sICH) at 24-hours and 90-day mortality. Adjusted multivariate ordinal and logistic regressions were performed for all outcomes. RESULTS Of 828 patients (median age 67 years, IQR 59-77; 65% male), 23% have received IVT. In the adjusted analysis, receiving IVT was not associated with mRS ordinal shift (aOR 0.8, 95%CI 0.6 -1.1), nor with functional independence (aOR 1.1, 95% 0.7 - 1.7). However, there was a positive association with excellent outcome (aOR 1.6, 95%CI 1.0 - 2.7). There were no differences in sICH rates at 24-hours (aOR 1.5, 95%CI 0.8 - 2.9), nor 90-day mortality (aOR 0.8, 95% 0.5-1.3). CONCLUSION In this multi-center study of patients who underwent EVT with emergent intracranial stenting, IVT was associated with excellent clinical outcome, possibly due to indication bias, and there were no safety concerns. Receiving IVT should not be a criterion for deferring acute stenting among patients with ICAD-associated LVO and IVT should not be routinely withheld in suspected ICAD cases.

This article introduces a mechanistic framework to reclassify suboptimal responses to GLP-1 receptor agonists. It defines three mechanistic subtypes of incretin resistance—receptor-level, post-receptor, and secretory—highlighting their distinct pathways and therapeutic implications. This model promotes personalized care by moving beyond the oversimplified ‘non-responder’ classification.

The paper investigated the variability of the morphological-anatomical traits of one-year-old oak seedlings (Quercus cerris L. and Quercus rubra L.) produced in three different container types (Hiko, Plantagrah, biodegradable). A two-factorial ANOVA showed for the morphological characteristics (root collar diameter and height) statistically significant difference between the species and between the containers, too. The interaction between the variability factors (container type and species) also affects height and root collar diameter. As for the obtained results of two-factorial ANOVA for anatomical parameters (wood, bark, pith proportion, and vessel width), statistically significant differences were obtained for all of them between species, as well as between container types. On the other hand, the interaction of container type and species does not affect vessel width and bark content unlike wood and pith proportion. Comparing the species, it can be concluded that the average values of all traits, apart from vessel width, are higher in Q.rubra L. The largest dimensions of all elements regardless of the species were obtained for Hiko, then Plantagrah, and the smallest for biodegradable container.

This longitudinal study aimed to examine the in-season variations in morphological, cardiorespiratory, muscular, and motor fitness components in junior male basketball players during an 8-month competitive season. Eighteen male basketball players (16.56 ± 0.90 years) were tested at three time points (T1, T2, T3). Assessed variables included body fat (BF), fat-free mass (FFM), muscle mass (MM), total body water (TBW), maximal oxygen uptake (VO2max), final running speed in the 30-15 Intermittent Fitness Test (VIFT), maximum and average heart rate (HRmax, HRavg), squat jump (SJ), countermovement jump with arm swing (CMJmax), drop jump (DJ), 20 m sprint with 5 m and 10 m splits, T-test (TT), and Lane Agility Drill (LAD). Significant improvements were observed in body mass (T1–T3, p = 0.002; T2–T3, p = 0.039), along with reductions in BF (T1–T2 and T1–T3, p < 0.05) and increases in FFM and MM (especially T2–T3, p < 0.05). VO2max increased significantly from T1 to T2 and T3 (p < 0.01), while HRaverage decreased across all intervals (p < 0.001), and HRmax declined slightly from T1 to T3 (p = 0.031). VIFT improved significantly between T1 and both T2 and T3 (p < 0.001). Measures of explosive strength (SJ, CMJmax, DJ) and agility (TT, LAD) showed consistent improvement across the season (p < 0.001), with moderate gains from T2 to T3 (p < 0.01 for SJ). These findings suggest meaningful physical and physiological adaptations during the competitive season, highlighting the importance of structured and continuous training throughout critical phases of athletic development in junior basketball players.

Magnetic resonance imaging is a non-invasive method that does not use ionizing radiation to produce images, which is its greatest advantage for visualizing fetal pathology. Fetal magnetic resonance imaging is used to visualize pathologies of the central nervous system, abdomen, thoracic organs, and heart, particularly when ultrasound examination is insufficient. FCMR  allows detailed visualization of the fetal heart and surrounding structures during pregnancy. It is particularly useful in diagnosing congenital heart defects and assessing fetal circulation, especially when other methods such as ultrasound are inconclusive.

Fennel (Foeniculum vulgare), a culinary and folk medicinal plant used worldwide in infantile colic, bloating, and indigestion, has scarce scientific evidence.

This study examines the impact of structured internal innovation project management (IPM) practices and external innovation ecosystem (IE) characteristics on sustainable and responsible innovation (SRI) in EU widening countries. Using a two-stage Delphi-informed survey of 100 firms across Bosnia and Herzegovina, North Macedonia, Albania, and Serbia, the research applies moderated multiple regression analysis to examine the interplay between internal processes and external ecosystem maturity. Results show that both structured innovation phases and tools have a positive impact on SRI. However, while innovation phases consistently enhance SRI regardless of ecosystem conditions, the effect of innovation tools weakens in stronger ecosystems, suggesting a resource substitution dynamic. These findings challenge the assumption that greater ecosystem support uniformly improves innovation outcomes. The study contributes to the theoretical integration of the Resource-Based View and Innovation Ecosystem Theory, highlighting context-specific conditions in transitional economies. Practical implications are offered for managers and policymakers; firms in weaker ecosystems should prioritize building internal innovation capabilities, while those in mature ecosystems may gain more from leveraging external collaborations. The research advances debates on sustainable innovation strategies by showing how the effectiveness of internal management practices depends on ecosystem maturity, offering insights for both policy interventions and strategic innovation management in developing economies.