Abstract: Canine parvovirus (CPV) remains one of the most relevant viral pathogens affecting domestic dogs worldwide, particularly in young and unvaccinated populations, due to its high environmental resistance and rapid transmission. This study provides an updated and integrative overview of epidemiology, pathogenesis, diagnosis, and control of CPV through a systematic qualitative review conducted following PRISMA guidelines. A comprehensive literature search was carried out using major academic databases, including PubMed, SciELO, MDPI, and Google Scholar, considering studies published between 2020 and 2026. A total of 312 articles were initially identified, of which 70 met the inclusion criteria and were selected for detailed analysis. The results confirm the global circulation of multiple variants (CPV-2a, CPV-2b, and CPV-2c), as well as the persistence of the virus in diverse environments and its impact on susceptible populations. Molecular diagnostic techniques, particularly PCR and qPCR, remain the most reliable tools for early detection, although their availability is still uneven across regions. Despite advances in supportive therapy and emerging antiviral approaches, vaccination continues to represent the most effective preventive strategy. Continuous surveillance and improvements in diagnostic and immunization strategies are essential to reduce the impact of CPV infections.

Abstract:

Background/Objectives: The aim of the study was to explore the specific relationships between sleep quality, physical activity levels, and demographic characteristics (age, education level, and work experience) in night shift nurses working at hospitals. Understanding these relationships is critical for developing evidence-based scheduling, educational initiatives for sleep hygiene, and physical activity programs that can mitigate the negative impacts of night work, ultimately promoting workforce sustainability and safer patient health outcomes. Methods: A questioning survey was conducted involving 400 night shift nurses. Data were collected using a questionnaire, which included Individual Characteristics Form, Pittsburgh Sleep Quality Index and International Physical Activity Questionnaire – Short Form. Results: The sleep quality of night shift nurses differed statistically significantly by age in almost all sub-scales except for the sub-scale “habitual sleep efficiency”. The youngest nurses rated their subjective sleep quality the best, while the oldest nurses rated their sleep quality the worst. Physical activity levels differed significantly by age among night shift nurses. Specifically, the youngest group showed a higher proportion of high physical activity compared to the oldest group of night shift nurses. Conclusions: Night shift work is a primary driver of poor sleep quality among nurses, regardless of age, experience, or education level. Physical activity is strongly linked to better sleep quality among night shift nurses.

Abstract: Using a viability-resolved metagenomics protocol coupled with copy-number-corrected absolute quantification, we report three findings from a longitudinal study of eight ready-to-eat (RTE) seafood matrices subjected to combined pasteurization and high-pressure processing (HPP). First, we demonstrate that 16S amplicon relative abundances can be converted into absolute cell counts concordant with ISO culture methods (Lin's CCC = 0.94; Bland-Altman bias = −0.25 log₁₀, non-significant; 93% within ±1 log₁₀). This establishes that the three principal barriers to quantitative amplicon metagenomics — compositional bias, copy-number distortion, and dead-cell DNA contamination — can be jointly overcome within a single analytical workflow. Second, we provide the first community-scale quantification of viable but non-culturable (VBNC) populations in processed foods: 60% of indicator groups with negative culture harbored molecular loads of 10³–10⁷ cells/g. The discrepancy scaled with predicted membrane resilience — maximal for sporulating clostridia (+5.9 log₁₀), intermediate for Gram-negative Enterobacteriaceae (+4.0 log₁₀), minimal for lactic acid bacteria — implicating differential DNase impermeability as a biological mechanism rather than an algorithmic artifact. Third, we uncovered a post-treatment microbial succession qualitatively distinct from that described for HPP alone. Whereas HPP-only products are typically dominated by mesophilic Leuconostoc and Lactobacillus, the combined thermal-barometric treatment selected spore-formers (Clostridium spp., Sporosarcina), the thermo-barotolerant lactic acid bacterium Carnobacterium as dominant LAB, and post-process recontamination psychrotrophs (Psychrobacter, Acinetobacter). Combining lethal barriers thus reconfigures surviving community structure rather than merely reducing it. These findings were enabled by DELOREAN (Deep Estimation of Live Organisms by Read Equivalence to Agar Numbers), a framework that integrates an original sample preparation protocol — Viable Target Metagenomics (vtMG) — with a quantitative conversion algorithm. vtMG enriches DNA from membrane-intact cells through differential lysis and DNase treatment as an enzymatic alternative to PMA; the algorithm then anchors copy-number-corrected relative abundances to fluorimetric total DNA quantification via empirical scaling factors. Calibration factors were derived in a prior, independent pilot study and applied without modification to the validation dataset, constituting a legitimate out-of-distribution test. The framework is classifier-agnostic, platform-independent, and designed for progressive refinement through collaborative calibration.

Abstract: The functioning of complex natural structures, such as living systems, still lacks a generally accepted theoretical basis with respective empirical experimental verification for decades. We propose a class of experiments to test whether such systems could be subject to an unknown ordering principle that cannot be captured by known physical laws. We hypothesise that the quantum mechanical uncertainty principle enables ordering phenomena in nearly chaotic systems in the sense of a strong emergence principle, which would not be expected when they are modelled conventionally, as several authors have already formulated in various forms. To account for the harsh conditions prevailing in living systems that may preclude fragile macroscopic quantum coherence, our hypothesis does not require such coherence at all, contrary to earlier related proposals. To test this hypothesis, two virtually identical and sufficiently complex experimental setups should be compared. One setup will operate with deterministic pseudo-random number generators at key sensitive points, while the other one will use quantum-based physical random- number generators, the two setups being otherwise identical. Existing artificial neural networks are proposed as possible test objects, and their performance under identical training conditions can be used as a quantitative benchmark. As this working hypothesis extends far beyond artificial networks, a successful outcome of such an experiment could have significant implications for many other branches of science.

Abstract: Background: Wearable technologies enable continuous, ecologically valid monitoring of physiological responses to therapeutic interventions in real-world settings. Yoga-based physiotherapy is increasingly integrated into preventive and rehabilitative healthcare due to its potential effects on autonomic regulation, sleep, and psychological well-being. Objective: This study aimed to evaluate the effects of a short-term yoga-based physiotherapy intervention on objective physiological parameters and subjective health-related quality of life, and to assess the feasibility and limitations of wearable device-based monitoring in ecological conditions. Methods: A prospective within-subject observational study was conducted in 30 healthy adults over a four-week period, including a two-week control phase followed by a two-week intervention phase. During the intervention, participants performed daily 10–15-minute yoga-based physiotherapy sessions incorporating breathing exercises, postural control, and relaxation techniques. Continuous monitoring of heart rate (HR), heart rate variability (HRV), stress index, and sleep duration was performed using Garmin wearable devices. Health-related quality of life was assessed using the SF-36 questionnaire. Paired t-tests were applied to compare phases (p < 0.05). Results: The intervention led to a significant reduction in heart rate (74.06 ± 5.0 vs. 71.39 ± 5.2 bpm; p = 0.024) and a significant increase in sleep duration (6.55 ± 0.8 vs. 7.04 ± 0.7 h; p = 0.044). HRV showed a non-significant increase (50.13 ± 10.2 vs. 54.80 ± 9.8 ms; p = 0.086), while stress levels remained unchanged (p = 0.661). SF-36 results indicated significant improvements in physical functioning, role-physical, vitality, and mental health, alongside small but significant declines in bodily pain and role-emotional domains. Conclusions: Short-term yoga-based physiotherapy induces measurable improvements in cardiovascular regulation and sleep, with domain-specific effects on quality of life. Wearable devices offer valuable tools for real-world physiological monitoring; however, discrepancies between objective and subjective outcomes highlight the need for multimodal assessment approaches in rehabilitation research.

Abstract: The coming era of autonomous AI agents demands a discovery mechanism capable of navigating millions of tools, yet existing solutions buckle under \( \mathcal{O}(N) \) complexity and centralized governance. Instead of building another fragile overlay, we propose ToolDNS, a radical framework that retrofits semantic tool discovery onto the Internet's most resilient substrate: the Domain Name System (DNS). By embedding functional intent and organizational trust into a hierarchical namespace, ToolDNS transforms an expensive semantic search into a series of lightweight, \( \mathcal{O}(\log N) \) name resolutions. We introduce three protocol-compliant enhancements to enable decentralized governance and semantic pruning: partially unfolded names, EDNS0 intent payloads, and logical subdomains. To rigorously evaluate this approach across the fragmented tooling landscape, we construct and release a large-scale heterogeneous benchmark comprising \( 33,688 \) real-world tools spanning MCP, A2A, RESTful, and Skill protocols. On this dataset, ToolDNS slashes the per-query search space by \( 95.26\% \) while matching state-of-the-art retrieval accuracy. Furthermore, its UDP-native design reduces discovery latency by orders of magnitude compared to HTTP-based registries. Our work demonstrates that scalable AI interoperability requires not more middleware, but a smarter utilization of the infrastructure already beneath our feet.

Abstract: Grapevine trunk diseases (GTDs) are major constraints to vineyard longevity and productivity worldwide, and pruning wounds are recognized as key infection courts for their causal fungi. However, the dynamics of natural infection after pruning under field conditions remain insufficiently defined. This study evaluated natural infection of grapevine pruning wounds by GTD pathogens in three commercial vineyards in Spain and France over two growing seasons. At each site, vines were pruned either early in the dormant season (November-December) or late (February), and wounds were sampled weekly for 8 weeks. Disease severity was quantified as the percentage of wood pieces yielding GTD pathogens after isolation. A total of 11,230 fungal isolates were recovered, of which Botryosphaeriaceae accounted for 54.4%, followed by Diaporthe spp. (34.2%) and Cytospora spp. (11.4%). Disease severity varied significantly over time in all site-disease combinations, and temporal trajectories differed with pruning time and season. Late pruning resulted in significantly greater disease severity than early pruning in 6 of 9 site-disease combinations. The strongest effect was observed in Pyrénées-Atlantiques for Botryosphaeria dieback, where late pruning increased severity by 18.77 percentage points; Cytospora canker at the same site increased by 7.24 percentage points. Climatic analyses revealed site-specific associations, with relative humidity most strongly associated with disease severity in Pyrénées-Atlantiques and precipitation in Pyrénées-Orientales. These results indicate that GTD pathogens can be recovered from pruning wounds for at least 8 weeks after pruning and that the effect of pruning time depends strongly on vineyard and pathogen group.

Abstract: Background: Nursing education in Europe has undergone substantial reform over the past two decades, primarily driven by the Bologna Process and European Union directives aiming to harmonise educational standards and facilitate professional mobility. However, growing evidence indicates that structural alignment has not fully translated into equivalent educational outcomes and competencies across countries. Methods: A scoping review was conducted following the Arksey and O’Malley framework and PRISMA-ScR guidelines. Three databases (PubMed, Scopus, and Google Scholar) were systematically searched for studies published between 2010 and 2025. A total of 1,492 records were identified, with 11 studies included in the final qualitative thematic analysis. Results: Significant heterogeneity was observed in curriculum structure (180–240 ECTS), clinical training requirements, and competency frameworks across European countries. Disparities were particularly evident in the implementation and quality assurance of clinical practice. In Bulgaria, key challenges include workforce shortages, limited clinical training capacity, underfunding, ageing student populations, and high emigration rates. Additionally, gaps were identified in the integration of evidence-based teaching, digital competencies, and interprofessional education. Conclusions: While progress towards harmonisation has been achieved, persistent systemic and functional disparities continue to limit educational quality and workforce mobility. Addressing these gaps requires integrated reforms combining educational innovation, health system investment, and targeted national workforce strategies, particularly in countries such as Bulgaria.

Abstract: We present new and improved calculations of Stark-broadened profiles for ionized helium, a key ingredient in the spectroscopic analysis of helium-atmosphere DO white dwarfs. Our approach builds upon the computer simulation framework previously developed for neutral helium, which fully accounts for the dynamical interactions of both ions and electrons with the emitting helium atom. We extend this theoretical formalism by relaxing the assumption of straight-line trajectories for the perturbing particles (electrons and ionized helium) and adopting the hyperbolic trajectories appropriate for their interaction with a charged emitter, thereby accounting for their dynamical influence on the line-broadening process. In this exploratory study, we focus on the He II λ4686 line, the strongest absorption feature observed in the spectra of DO white dwarfs. We present the resulting Stark profiles and perform a detailed comparison with those available in the literature.

Abstract: Occupational Geroscience is proposed here as a new scientific discipline at the intersection of geroscience and occupational medicine. It studies how chronic occupational exposomes activate the hallmarks of aging in workforces with defined biological hazards. The primary outcome is the slope of multi-clock estimators of biological age over a career-length follow-up in an exposed cohort versus a matched unexposed comparator. Hallmark-specific markers (γ-H2AX, telomere length, SASP cytokines, cf-mtDNA) are measured alongside, and each worker's lifetime dose record is linked to the biomarker series.Existing exposome aging studies measure population scale environmental drivers without isolating defined occupational cohorts. Existing occupational radiation cohorts measure cancer mortality without measuring biological aging. What is missing is a longitudinal outcome that spans systems, is anchored in the hallmarks of aging, and is tied to a defined occupational exposome with prospective dose data; such an outcome has not yet been established. That gap motivates naming the field.The founding case is fluoroscopy guided interventional medicine. Scatter ionising radiation, biomechanical loads, psychological strain, and material co-exposures plausibly activate several hallmarks of aging across careers that involve thousands of procedures. Cell and animal studies support key elements of the mechanism. Working populations have not yet been studied prospectively, and a cohort study is needed to test the prediction directly.This paper defines Occupational Geroscience by its object, methods, and predictions, and sets inclusion and exclusion criteria. The research agenda begins with a population-level registry and a modular longitudinal biomarker cohort. Shielding analyses can then be nested within the cohort, while tiered radiosensitivity profiling and biological mitigation trials, including the antioxidant pre-exposure trial (Study 5), should follow only after feasibility, safety, and primary cohort signals are established. The interventional studies are hypotheses to be tested, not proven preventive methods.

Abstract: This study investigated the molecular epidemiological characteristics of Cryptococcus neoformans (C. neoformans) isolates from AIDS patients with cryptococcal meningitis (CM) in southern China and examined their associations with clinical features and outcomes. A total of 100 clinical isolates were identified by MALDI-TOF MS and genotyped by multilocus sequence typing (MLST). Antifungal susceptibility to five agents was assessed using the FUNGUS 3 system. Baseline demographic, clinical manifestations, radiological, and laboratory data were collected from the corresponding 100 patients, and outcomes were evaluated at weeks 4, 12, 24, and 48. Seven sequence types (STs) were identified: ST5 (83/100, 83.0%), ST4 (5/100, 5.0%), ST31 (3/100, 3.0%), ST43 (1/100, 1.0%), ST93 (4/100, 4.0%), ST395 (1/100, 1.0%), and a presumptive novel ST685 (3/100, 3.0%). Most patients were male (80.0%), and headache was the most common symptom (85.0%). Susceptibility rates for 5-flucytosine, amphotericin B, fluconazole, itraconazole, and voriconazole were 98.9% (94/95), 71.9% (69/96), 82.3% (79/96), 59.4% (41/69), and 86.8% (59/68), respectively. Cumulative mortality reached 16%, 33%, 37%, and 39% at weeks 4, 12, 24, and 48. No significant differences were observed between 83 patients infected with ST5 and 17 patients with non-ST5 in clinical presentations or antifungal susceptibility. However, patients infected with ST5 exhibited consistently better survival rates across all time points, whereas those infected with ST93 showed the highest 12-week mortality. Accordingly, ST5 is the dominant sequence type of C. neoformans in HIV-associated CM in southern China; meanwhile, non-ST5 types could have worse prognosis, indicating ST sequence typing may act as a prognostic biomarker in AIDS patients with CM.

Abstract:

Background: Knee osteoarthritis (KOA) alters the performance of daily activities, such as stair negotiation, by compromising lateral stability and neuromuscular control. This pilot study evaluated the feasibility of a 10-week Dynamic Neuromuscular Stabilization (DNS) program and explored preliminary biomechanical changes during stair ascent and descent in middle-aged women with KOA. Methods: Twenty-six participants were randomly assigned to a DNS group (n = 13) or a control group (n = 13). The DNS group completed a 10-week intervention (twice weekly). Feasibility was assessed via recruitment, retention, and adherence. Primary outcomes were mediolateral (ML) center of pressure (COP) parameters, while secondary outcomes included anteroposterior (AP) COP parameters and lower limb range of motion (ROM). Effect sizes (η²_p) were estimated using 3D motion analysis and force plates. Results: The intervention showed high potential feasibility, with 100% recruitment and retention rates and 98.5% compliance. No adverse events occurred. Large effect sizes were observed for reduced ML COP velocity (ascent: η²_p = 0.79; descent: η²_p = 0.62) and RMS (descent: η²_p = 0.16). Secondary outcomes, including AP COP parameters and joint ROM (increased sagittal flexion and decreased coronal instability), also demonstrated large effect sizes. Conclusions: This pilot study suggests that progressive DNS training is a safe and potentially feasible intervention for patients with KOA. The preliminary effect sizes observed in COP control and lower kinetic chain mechanics provide promising evidence that may serve as foundational data for designing future large-scale clinical trials to definitively verify efficacy.

Abstract: Background/Objectives: Niclosamide, an established anthelmintic drug, has shown promise in overcoming various types of drug-resistant cancers. However, despite its potent anti-proliferative effects, niclosamide suffers from low aqueous solubility, which can certainly limit oral bioavailability. To address these limitations and improve its physicochemical and pharmacokinetic properties, cocrystallization was employed as a strategic approach. Methods: In this study, we developed a niclosamide–nafamostat pharmaceutical cocrystal using a conventional solvent evaporation technique. The newly formed cocrystal was characterized using X-ray powder diffraction (XRPD), Fourier-transform infrared spectroscopy (FTIR), nuclear magnetic resonance (NMR), and differential scanning calorimetry (DSC), which collectively indicated that hydrogen bonds between the drug and co-former were the primary stabilizing interaction. Results: The NNC cocrystal was structurally confirmed by NMR, indicating the presence of hydrogen bonding, which was further supported by FTIR and XRD analyses. The antiproliferative activity of the cocrystal was evaluated across multiple cancer cell lines, where it exhibited approximately tenfold higher cytotoxicity compared to the parent compounds. Additionally, antiviral efficacy against SARS-CoV-2–infected cells demonstrated a potency of 0.17 µM, representing more than a twentyfold improvement over the standard drug. In vivo studies revealed that the cocrystal achieved a twofold enhancement in tumor growth suppression and a tenfold reduction in tumor burden relative to the control treatment, with high statistical significance (p < 0.0001). Conclusion: This cocrystallization approach a promising strategy to enhance drug solubility, bioavailability, and therapeutic efficacy, potentially enabling optimized dosing for future clinical applications.

Abstract: Severe cutaneous adverse reactions (SCARs) are rare, life-threatening drug hypersensitivity syndromes. Although pharmacovigilance can identify drugs disproportionately reported with SCARs, it does not reveal which local chemistries recur among them. To address this, we assessed whether drugs with disproportionate SCAR reporting in the FDA Adverse Event Reporting System (FAERS) share interpretable chemical motifs. We screened FAERS data from 2004Q1 to 2024Q3, identified 5523 drugs with available Simplified Molecular-Input Line-Entry System (SMILES) representations, and constructed a signal-enriched dataset of 1676 compounds with nominally significant broad-SCAR associations after excluding predefined therapeutic/supportive confounders. Compounds were assigned to positive-signal [natural logarithm of reporting odds ratio (lnROR) > 0, n = 1219] or nonpositive-signal (lnROR ≤ 0, n = 457) classes and encoded with 9753 explicitly mappable atom-centered local substructure descriptors. A light gradient boosting machine classifier evaluated using repeated nested cross-validation (six-fold outer × 50 repeats) achieved moderate but stable internal discrimination (mean area under the receiver operating characteristic curve = 0.7041 ± 0.0337). SHapley Additive exPlanations (SHAP) analysis revealed a clear fragment-level contrast: allylamine-like, ethanolamine, and diaminopropane-related motifs were associated with higher positive-signal class probability, whereas phenol and pyrimidine motifs were associated with corresponding lower probability. The phenol fragment (Oc1ccccc1) was the most influential feature overall (mean |SHAP| = 0.1727), followed by an allylamine-like fragment (0.1031). These findings suggest that broad-SCAR concern detected in the FAERS is not chemically random within the selected dataset. Overall, the proposed framework should be viewed not as a direct predictor of absolute clinical SCAR risk but as an interpretable structure-guided safety-screening approach to prioritize compounds and motif families for further SCAR-focused evaluation.

Abstract: Gastrotrichs (Phylum Gastrotricha) are widespread and species‑rich components of benthic and periphytic communities, where they are thought to contribute substantially to food‑web functioning by linking the microbial loop to higher trophic levels through their feeding on detritus, bacteria, microalgae, and fungi and serve as prey for larger animals. Despite the well‑recognized role as primary consumers, their position as potential prey remains largely unresolved, with documented predators so far restricted to carnivorous protists. Here, we report the first documented case of metazoan predation on a freshwater gastrotrich, in which a cyclopoid copepod actively captures and partially consumes a chaetonotid species. The interaction was first detected under minimally disturbed conditions and subsequently replicated in controlled experimental settings. Predation was documented through in vivo video recordings and supported by species-level identification of both predator and prey. These findings expand the currently recognized trophic interactions involving freshwater gastrotrichs and provide new insight into their ecological role within aquatic food webs.

Abstract: This paper revisits and extends the machine learning framework for U.S. recession prediction introduced by Yazdani2020 by incorporating post-pandemic macroeconomic dynamics, an expanded predictor set and machine learning models. Using monthly data from January 1959 through December 2024, recession forecasting is formulated as an imbalanced binary classification problem. We use downsampling for static models and class-weighted loss functions for neural networks and evaluate model performance using classification metrics robust to rare events. We further examine structural stability across four economic regimes and assess economic value through a dynamic stock–bond allocation strategy. We observe that ensemble tree methods, particularly gradient boosting (XGBoost, LightGBM) and random forests, consistently deliver the strongest discrimination, with out-of-sample AUC above 0.99 and PR-AUC above 0.96. The Transformer achieves probability calibration, and Deep sequence models exhibit high discrimination, while performance deteriorates across model classes in the 2020–2024 regime, especially for linear specifications. We also examine risk-adjusted returns of models. Overall, ensemble trees and Transformers show high predictive power and emerge as complementary tools in macroeconomic recession forecasting.

Abstract: Oral squamous cell carcinoma (OSCC) remains a major contributor to global head and neck cancer morbidity and mortality. This review examines the epidemiological aspects of OSCC and the biological mechanisms through which established exposures (e.g., tobacco, alcohol, betel/areca nut, socioeconomic and selected viral infections etc.) and emerging determinants (oral microbiome dysbiosis, host genetics/epigenetics, and immune dysfunction) converge to initiate and promote malignant transformation. We emphasize that OSCC risk is probabilistic and multifactorial: incidence rises markedly with age and cumulative exposures, yet the majority of individuals risk exposed to these risk factors will not develop disease. Mechanistically, carcinogen-driven DNA damages intersects with dysbiosis characterized by enrichment of periodontal pathobionts (notably Porphyromonas gingivalis and Fusobacterium nucleatum), which can sustain chronic inflammation, increase local generation of acetaldehyde and nitrosamines, and promote immune evasion via expansion of immunosuppressive cell populations and checkpoint signaling. We summarize recurrent molecular and genetic alterations in OSCC and highlight progress in early detection, including adjunctive visualization, optical and vibrational spectroscopy, and liquid-biopsy approaches using salivary and blood-based biomarkers. Finally, we discuss prevention opportunities spanning risk-factor modification, historical cultural practices, oral hygiene to mitigate dysbiosis (pH modulation and probiotics), and dietary/nutritional strategies. Integrating exposure history with microbial and molecular profiling may enable risk-stratified screening and prevention paradigms for OSCC.

Abstract: Background/Objectives: Immediate provisionalization in the esthetic zone is a well-documented but technique-sensitive procedure, and the choice of provisional connection geometry (indexed vs. non-indexed) remains debated. The aim of this ret-rospective single-arm cohort clinical study was to evaluate the clinical performance of a digitally planned, guide-delivered provisionalization protocol using prefabricated provisional crowns connected to 5-degree Morse taper implants without an antirota-tional index, with emphasis on emergence profile shaping and peri-implant tissue sta-bility at one year; Methods: Twenty consecutive single-implant cases (19 female, 1 male; mean age 38.1 ± 12.7 years; 18 anterior and 2 premolar sites) were treated between January 2024 and February 2026. All implants were placed with primary inser-tion torque ≥ 30 N·cm (mean 34.75 ± 2.55 N·cm) and immediately restored with a digitally designed, non-antirotational provisional crown. Primary outcome was provision-al retention without major intervention; secondary outcomes included biologic com-plications, papilla score, marginal bone change at T0–T3 and T3–T4, and buccal con-tour change (T0 vs T2 intraoral scan superimposition). Wilson 95% confidence inter-vals, Fisher’s exact test, and Mann–Whitney U test were used (α = 0.05); Results: Pro-visional retention without major intervention was 75.0% (15/20; 95% CI 53.1–88.8). Biologic complications were uncommon (bleeding on probing, suppuration, midfacial recession, and chairside adjustment, each 5.0%). Mean total marginal bone loss at one year was 0.37 ± 0.20 mm; mean buccal contour gain was 1.41 ± 0.48 mm. A complete papilla was preserved in 70.0% of cases; Conclusions: Digitally planned, guide-delivered provisionalization on a non-antirotational 5-degree Morse taper interface appears clinically feasible for emergence profile shaping in the esthetic zone, with stable peri-implant tissues at one year.

Abstract: Maritime ports—now deeply digitalized andinterdependent—face escalating cyber risk amid hybridgeopolitical pressures, complex vendor ecosystems, andwidening social dependence on uninterrupted trade flows.Situated at the intersection of the Belt and Road Initiative andthe Trans-Caspian International Transport Route, the CaspianBasin exemplifies both the promise of data-driven logistics andthe vulnerability of fragmented cybersecurity governance. Thisstudy extends the Strategic Data Alignment Framework(SDAF), originally designed to align corporate strategy withdata governance, into a cybersecurity governance model forcritical maritime infrastructure under hybrid threat conditions.Using comparative policy analysis and benchmarking againstcontemporary global standards (e.g., NIS2-style obligations,maritime cyber guidelines, and digital trade principles), thestudy identifies systemic weaknesses in harmonization,institutional capacity, supply-chain assurance, and resilienceplanning. It reconceptualizes cyber-resilience as a strategicresource and proposes a five-step roadmap combining regionalthreat-intelligence sharing, vendor risk controls, standardsalignment, AI-enabled detection, and stress-tested recovery.The findings underscore urgent needs for coordinated action tosafeguard digital corridors and the societies they serve.

Abstract: Breast cancer constitutes one of the oncological diagnoses with the greatest impact on women’s lives, with consequences that extend beyond active treatment into a survi-vorship period marked by profound transformations in identity, relationships, and well-being. This study aimed to explore the impacts that breast cancer produces on the everyday lives of survivor women in the municipality of Villarrica, La Araucanía Region. A qualitative methodology with a phenomenological orientation was employed, based on discourse analysis of three focus groups with breast cancer survivor women. The analysis identified five categories: impact on everyday life and work, management of uncertainty and fear, transformation of self-care and life priorities, support networks and community, and barriers to accessing the healthcare system. The findings demon-strate the coexistence of posttraumatic growth and persistent psychological distress, together with structural inequities that limit access to comprehensive care during the survivorship period. It is concluded that cancer survivorship demands public policy responses that are continuous, multilevel, and integrative of a gender perspective, ar-ticulating individual, family, and community interventions from primary healthcare.