Wood finger joints are widely used in both structural timber and high-quality furniture due to their ability to create long, continuous members from shorter pieces. The mechanical performance of these joints depends not only on the wood species but also on the geometry of the interlocking teeth and the quality of the adhesive bond. This study explores how the geometry of finger joints affects the tensile behavior and fracture characteristics of beech (Fagus sylvatica L.) and oak (Quercus robur L.). Specimens with varying tooth dimensions were tested using a 50 kN universal testing machine from Shimadzu. Key metrics such as ultimate tensile load, effective cross-sectional area, cohesive stress, energy required to cause failure, and fracture energy (Gc) at 0.5, 1.0, and 2.0 mm displacements were systematically measured. The results revealed that beech specimens achieved ultimate tensile loads up to 21,320 N and cohesive stress of 204 MPa, while oak reached 21,631 N with a cohesive stress of 239 MPa. Fracture energy (Gc) values ranged from 0.036 N/mm for beech to 0.051 N/mm for oak, depending on joint geometry. Results show that both the type of wood and the tooth design, including width and length, play a decisive role in joint performance. In general, longer teeth and larger bonded areas improved tensile capacity and increased resistance to fracture. These findings offer deeper insights into the fracture mechanics of hardwood finger joints and provide practical guidance for optimizing glued connections in furniture and structural timber. The collected data can also support accurate modeling, quality assurance, and numerical simulations in future studies.

Toxicity and harassment are widespread in the video-gaming context. Especially in competitive online multiplayer scenarios, gamers oftentimes send harmful messages to other players (teammates or opponents) whose consequences span from mild annoyance to withdrawal and depression. Abundant prior work tackled these problems, e.g., pointing out the negative effects of toxic interactions. However, few works proposed countermeasures specifically developed and tested on textual messages sent during a match -- i.e., when the"harassment"actually occurs. We posit that such a scarcity stems from the lack of high-quality datasets that can be used to devise"automated"detectors based on natural-language processing (NLP) and machine learning (ML), and which can -- ideally -- mitigate the harm of toxic comments during a gaming session. This work provides a foundation for addressing the problem of toxicity and harassment in video games. First, through a systematic literature review (n=1,039), we provide evidence that only few works proposed ML/NLP-based detectors of toxicity/harassment during live matches. Then, we partner-up with 8 expert League of Legend (LoL) players and create a fine-grained labelled dataset, L2DTnH, containing 1.4k toxic and 13.8k non-toxic messages exchanged during LoL matches. We use L2DTnH to develop a detector that we then empirically show outperforms general-purpose and state-of-the-art toxicity detectors reliant on NLP. To further demonstrate the practicality of our resources, we test our detector on game-related data beyond that included in L2DTnH; and we develop a Web-browser extension that flags toxic content in Webpages -- without querying third-party servers owned by AI companies. We publicly release all of our resources. Our contributions pave the way for more applied research devoted to fighting the spread of toxicity and harassment in video games.

Introduction: Fear of childbirth (FOC) is a common concern during pregnancy that can negatively affect women’s well-being and childbirth experiences. Understanding how different dimensions of FOC relate to one another before and after prenatal interventions may help optimize supportive care. The aim of this study was to examine correlations among specific domains of childbirth fear before and after participation in a prenatal childbirth preparation program. Methods: This prospective longitudinal study included 97 pregnant women with uncomplicated pregnancies who participated in a one-month prenatal childbirth preparation program between November 2024 and February 2025. The intervention consisted of theoretical education and physical exercise sessions, held twice a week. FOC was assessed before and 7 days after the intervention using the Childbirth Fear Questionnaire (CFQ). Spearman correlation coefficients were used to examine relationships among CFQ subscales. Results: Participants had a mean age of 30.5 ± 3.8 years and a mean gestational age of 32.5 ± 3.0 weeks at the time of study entry. Before the intervention, the total CFQ score was most strongly correlated with fear of medical interventions (p = 0.823). After the intervention, the strongest association shifted to fear of pain during vaginal birth (p = 0.859). Conclusion: Following participation in the prenatal childbirth preparation program, the pattern of associations among childbirth fears changed, with fear of medical interventions becoming less dominant and fear of pain during vaginal delivery emerging as a central concern. These findings suggest that prenatal interventions may influence not only the intensity but also the structure of childbirth-related fears, highlighting the importance of addressing multiple fear dimensions simultaneously.

Background Antimicrobial resistance (AMR) is an appreciable public health threat, exacerbated by considerable inappropriate use of antibiotics including for upper respiratory tract infections (URTIs). Whilst there have been high levels of inappropriate prescribing of antibiotics in primary care in South Africa, study findings vary regarding the extent of dispensing of antibiotics without a prescription. Where this occurs, this is typically for patients with urinary tract infections (UTIs) and sexually transmitted infections (STIs). Consequently, there is a need to update knowledge regarding antibiotic dispensing patterns in primary care in South Africa alongside key factors influencing this. The findings can provide future direction to key stakeholders in South Africa grappling with high AMR rates. Methods A previously piloted questionnaire was administered to patients leaving community pharmacies in a rural province using their preferred language. The questionnaire collected data on current antibiotic utilisation patterns alongside their knowledge and attitudes towards AMR. Results 465 patients were interviewed exiting community pharmacies with a medicine. 78.7% of patients who were dispensed antibiotics were dispensed these without a prescription. Perceived STIs were the most common infectious disease where this occurred, with 99.1% of antibiotics issued for this condition dispensed without a prescription. Only 1 out of 116 patients with a perceived STI, received an antibiotic from a prescription issued by an authorized prescriber. The reverse was seen with patients with URTIs where there was very little dispensing of antibiotics without a prescription for these patients. This may be because surveyed patients were prepared to take advice from community pharmacists, who typically offered symptomatic relief to patients with suspected URTIs. This situation contrasts with antibiotics from prescriptions where URTIs were the most common infection where antibiotics were prescribed (59.3%). Questioning patients in their own language enhanced their understanding of key issues. Conclusion There is an urgent need to re-consider community pharmacist activities in South Africa with some countries allowing them to prescribe antibiotics for UTIs. Trained community pharmacists can also potentially engage with patients to help prevent and manage STIs with patients appearing to preferentially seek assistance from community pharmacists for their perceived STIs. Community pharmacists can also potentially work with prescribers to improve their antibiotic use especially for URTIs.

Cell-Free Massive Multiple-Input Multiple-Output (CF-MaMIMO) in Open Radio Access Network (O-RAN) promises high spectral efficiency but is limited by frequent Channel State Information (CSI) exchanges, which strain fronthaul/midhaul/backhaul (X-haul) bandwidth and exceed the capabilities of existing approaches relying on uncompressed CSI or heavy predictors. To overcome these constraints, we propose LITE, a lightweight pipeline combining a 1-D convolutional Autoencoder (AE) at the O-RAN Distributed Unit (O-DU) with a Squeeze-and-Excitation (SE)-enhanced Bidirectional Long Short-Term Memory (BiLSTM) predictor at the Near-Real-Time RAN Intelligent Controller (Near-RT-RIC), enabling short-horizon trajectory-unaware forecasting under strict transport and processing budgets. LITE applies 50% CSI compression and an asymmetric SE-BiLSTM, reducing model complexity by 83.39% while improving accuracy by 5% relative to a baseline BiLSTM. With compression-aware training, the Lightweight Intelligent Trajectory Estimator (LITE) incurs only 6% accuracy loss versus the BiLSTM baseline, outperforming independent and end-to-end strategies. A TensorRT-optimized implementation achieves 147k Queries per Second (QPS), a 4.6x throughput gain. These results demonstrate that LITE delivers X-haul-efficient, low-latency, and deployment-ready channel-gain prediction compatible with O-RAN splits.

We investigate the asymptotic behavior of a proposed ordinary differential equation (ODE) model for Genetic Toggle switches from Gardner et. al. and I. Rajapakse and S. Smale: dxdt=a1+ym−x and dydt=b1+xn−y where a,b,m,n>0 and x(t),y(t)≥0. We also investigate the asymptotic behavior of the Euler discretization of this system: xn+1=a1xn+b11+ynm=f(xn,yn) and yn+1=a2yn+b21+xnn=g(xn,yn), where 1−h=a1, 1−k=a2, ah=b1 and bk=b2, a1,a2∈(0,1) and h,k>0 are steps of discretizations. Here, x and y represent protein concentrations at a particular time in both genes and a,b,m,n>0, respectively, above. We will apply the theory of competitive maps to find the basins of attractions of different equilibrium points and period-two solutions of systems of difference equations.

Background/Objectives: Totally endoscopic mitral valve repair reduces surgical trauma and accelerates recovery but can be technically challenging, particularly for precise annuloplasty suturing. The VirtuoSEW® (LSI Solutions, Victor, NY 14564m, USA) automated annular suturing system was developed to standardize and simplify suture placement. This study was an early evaluation of this technology’s safety, efficacy, and feasibility in totally endoscopic microInvasive mitral valve repair (µMVr). Methods: We conducted a retrospective observational study of 20 patients with severe mitral valve disease of various etiologies. All patients underwent mitral valve repair using the VirtuoSEW® system for automated placement of annuloplasty sutures, combined with leaflet resection or chordal management as appropriate. Postoperative outcomes were assessed at one month using echocardiography and clinical evaluation. Perioperative and postoperative complications and early mortality were systematically recorded. Results: VirtuoSEW®-assisted mitral valve repair was safe and effective, achieving complete elimination of severe mitral regurgitation in all patients (N = 20, 100%). Annuloplasty rings included Physio-ring (N = 12, 60%), Memo 3D (N = 4, 20%), and Memo 4D (N = 4, 20%), combined with leaflet repair techniques: leaflet plication (N = 5, 25%), neochordae implantation (N = 7, 35%), sliding plasty (N = 2, 10%), commissural repair (N = 1, 5%), and hemibutterfly repair (N = 1, 5%). Concomitant procedures included: tricuspid valve repair (N = 1, 5%) and atrial septal defect closure (N = 1, 5%). Mitral annulus diameter decreased from 42.0 ± 5.3 mm to 34.2 ± 2.2 mm (p = 0.001). Mean total surgery, cardiopulmonary bypass, and aortic cross-clamp times were 170.3 ± 21.3, 143.4 ± 21.5, and 80.4 ± 7.9 min, respectively. ICU stay was 1.0 ± 0.2 days, with a hospital stay of 8.0 ± 1.9 days. No perioperative complications—including bleeding (N = 0, 0%), stroke (N = 0, 0%), infections (N = 0, 0%), or 30-day mortality (N = 0, 0%)—occurred. Conclusions: µMVR invasive mitral valve repair using the VirtuoSEW® system is safe, effective, and reproducible, as well as compatible with almost all repair techniques, providing complete restoration of valve competence with no early device-related complications. To our knowledge, this is the first clinical study reporting outcomes with this device, supporting its potential to streamline mitral repair and improve procedural efficiency.

Noise-induced hearing loss (NIHL) occurs as a result of long term exposure to workplace noise. The aim of the study was to identify job positions with an increased risk of hearing impairment due to occupational noise exposure, by analyzing changes in audiometric findings over a six-month period of work under conditions with elevated noise levels. The study included participants exposed to workplace noise and participants working in a quiet environment, employed in the same companies but in different job positions. Audiometric examinations were conducted at baseline and after six months of follow-up. Paired and independent-samples t-tests were applied. A statistically significant difference in hearing loss was found among participants exposed to occupational noise during the six-month period (t = 4.84, df = 35, p < 0.001), while no significant difference was observed among participants working in a quiet environment (t = 1.64, df = 35, p = 0.109). A significant difference was also identified between the noise-exposed group and the control group in mean hearing threshold values at baseline and at the final assessment after six months (t = 4.13, df = 71, p < 0.001). Occupations with an increased risk of the development and progression of hearing impairment were identified. The results confirmed the need for continuous monitoring and implementation of preventive hearing protection measures in high-risk workplaces, including oil refineries, textile and metal industries, the wood-processing sector, and selected service industries.

The Tortonese’s stingray (Dasyatis tortonesei Capapé, 1975) is a poorly understood species, likely endemic to the Mediterranean Sea, where its distribution remains inadequately delineated due to historical taxonomic uncertainty and misidentification with its closely related congeners. The present study reports the first well-documented records of D. tortonesei in the Adriatic Sea, based on six specimens collected during systematic field surveys off Vlorë, Albania. All specimens were identified through a comprehensive assessment of diagnostic morphological features, and detailed biometric data are provided. Notably, one individual exhibited a fully healed traumatic loss of both the tail and stinging apparatus, suggesting a degree of resilience to sub-lethal injury. The present findings extend the range of D. tortonesei and establish a valuable baseline for future biodiversity assessments. In addition, this paper underscores the urgent need for integrative taxonomic approaches and regional capacity-building to improve species-level identification and inform effective conservation of Mediterranean elasmobranchs (sharks and rays).

The fruit of Rosa canina (rosehip) has long been used in traditional medicine, and recent studies confirm its health benefits due to its content of flavonoids, carotenoids, fatty acids, and high vitamin C levels. This study examined three preparations: infusion, ultrasound-assisted extract, and traditional jam. Total phenols were measured using the Folin-Ciocalteu method, and antioxidant activity by the DPPH method. The highest total phenolic content was observed in the infusion of dried fruit (163.477 mg GAE/l), followed by the fruit extract (44.932 mg GAE/l), with the jam extract showing the lowest content (23.477 mg GAE/l). Antioxidant activity was assessed via DPPH inhibition percentage and IC50 values to identify the most effective form of compounds. The findings suggest that infusion of dried rosehip fruit provides the highest antioxidative capacity, highlighting its potential as a functional food ingredient.

We develop an asymptotic theory for strict minimum message length (SMML) estimators in regular parametric models with countable data spaces. We show that, asymptotically, the optimal SMML partition is induced by a weighted Fisher--Voronoi tessellation in parameter space, pulled back through the maximum likelihood estimator. We further show that each SMML codepoint is asymptotically a weighted average of the maximum likelihood estimates associated with observations in its cell. These results imply that the SMML estimator is consistent and converges at the usual parametric $n^{-1/2}$ rate under standard regularity conditions. We also give a Kullback--Leibler projection interpretation of SMML codepoints and a decomposition of the expected SMML codelength into an assertion entropy and an expected conditional cross-entropy. In exponential families, the theory simplifies further: SMML codepoints satisfy a moment-matching condition, and optimal SMML cells are induced by a polyhedral partition of the sufficient-statistic space.

Urbanization of cities demands efficient spatial management. The construction of utility lines significantly alters the spatial landscape. The subsurface space is often neglected, resulting in outdated or absent records of underground utility infrastructure. This clearly underscores the need and importance of maintaining accurate utility records. Modern non-destructive techniques for underground utility detection, such as ground penetrating radar (GPR), can enhance the documentation and mapping of subsurface infrastructure. The subject of this paper is the optimization of GPR survey and processing workflows to improve the accuracy of underground utility detection when using the Leica DS2000. The research comprises both theoretical and experimental analyses, including the application of various GPR data collection methods on test sites. The experimental component of the research was conducted using the Leica DS2000 GPR system. The geospatial data were processed using several software applications, including uNext Advanced, IQMaps, and Geolitix. Based on the multicriteria analysis of these results and an assessment of detection accuracy, an optimal workflow (decision diagram) was defined for the detection of underground utility infrastructure using Leica DS2000 under favorable soil conditions. This study explored the feasibility of efficiently updating the cadastral database of public utility infrastructure through non-invasive technologies, thereby contributing to the improvement of subsurface utility infrastructure management.

In this study, we analyze a discrete two-dimensional host–parasitoid model in which the host population follows logistic growth and is additionally subject to a strong Allee effect on the proportion of hosts that avoid parasitism. The parasitoid population dynamics are driven by host availability, attack success rate, and the number of parasitoids produced per successful attack. We classify the equilibrium points and explore the system’s local and global dynamics. Our analysis shows that, in certain parameter regions, an extinction equilibrium can be globally stable. For the boundary equilibrium, we prove the existence of transcritical and period-doubling bifurcations. Regarding interior equilibria, when multiple equilibria exist, their stabilities alternate. We prove the occurrence of codimension-1 period-doubling and Neimark–Sacker bifurcations, indicating the emergence of complex dynamics, including quasi-periodic and even chaotic behavior. Despite the possibility of complex dynamics, we prove that the system can exhibit uniform persistence and permanence under specific conditions, thereby ensuring the long-term coexistence of the host and parasitoid populations.

Tumor evolution is driven by various mutational processes, ranging from single nucleotide variants (SNVs) to large structural variants (SVs) to dynamic shifts in DNA methylation. Current short-read sequencing methods struggle to accurately capture the full spectrum of these genomic and epigenomic alterations, as well as their relations, due to inherent technical limitations. Here we used Nanopore long-read sequencing to profile 23 subclones, each derived from a single cell of a mouse melanoma cell line, for precise detection and evolutionary ordering of SNVs, SVs, copy number alterations (CNAs), and DNA methylation changes at subclonal level. Through phylogenetic analysis of these subclones, we reconstruct the timing of mutational processes and their contributions to diverse clonal phenotypes. The analysis reveals recurrent amplifications of putative driver genes, generated by independent SVs across different lineages, suggesting parallel evolution. Additionally, we described lineage-specific methylation changes associated with aggressive tumor subclones, highlighting epigenetic trajectories linked to tumor progression. Overall, we demonstrate that our long-read approach enables a uniquely comprehensive view of melanoma progression, highlighting that SVs and methylation played an important role in initiation, clonal diversification, and development of therapeutic resistance in this tumor, in consistence with recent clinical findings. We will release the sequencing data and curated variant calls to encourage developments of new computational methods. Chi-Ping Day, Yuelin Liu, Anton Goretsky, Ayse Keskus, Salem Malikic, Eva Perez-Guijarro, Glenn Merlino, Eytan Ruppin, Suleyman Cenk Sahinalp, Mikhail Kolmogorov. Full-range genomic analysis at single-cell resolution reveals genetic, epigenetic, and parallel evolution of melanoma subclones [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 704.