Search Results (514)

Acinetobacter baumannii is a leading cause of healthcare-associated infections and is classified among the highest-priority antimicrobial-resistant pathogens. Its clinical success reflects the convergence of antimicrobial resistance (AMR) and biological traits that promote environmental persistence and transmission. Acinetobacter baumannii has undergone a remarkable transformation over the past few decades, evolving from a relatively obscure environmental bacterium into a globally recognized multidrug-resistant pathogen. Its prevalence in healthcare settings, particularly intensive care units, has made it a leading cause of ventilator-associated pneumonia, bloodstream infections, wound infections, and urinary tract infections. Beyond its antibiotic resistance, the bacterium’s ability to persist in hospital environments and adapt to host defences has amplified its clinical significance. Recent research has uncovered complex networks of virulence factors, regulatory systems, and metabolic strategies that enable A. baumannii to thrive in hostile environments and evade host immunity, providing new insights into its pathogenesis and potential therapeutic vulnerabilities. This review summarizes the main mechanisms underlying its pathogenicity, including desiccation tolerance, biofilm formation, disinfectant resistance, metal acquisition, motility, and the ability to enter viable but non-culturable states. In A. baumannii, AMR functions as a pathogenesis-adjacent trait, enhancing survival and clonal dissemination through genomic plasticity, resistance islands, efflux systems, and envelope remodeling. Key resistance pathways involve carbapenem-hydrolyzing oxacillinases, metallo-β-lactamases, permeability defects, and multidrug efflux, often coexisting within high-risk clones. From a clinical perspective, management of carbapenem-resistant strains requires accurate infection diagnosis, reliable susceptibility testing, site-specific and PK/PD-optimized therapy, and early reassessment. Overall, the success of A. baumannii reflects the integration of resistance and persistence within healthcare ecosystems, highlighting the need for coordinated strategies combining stewardship, infection control, improved diagnostics, and anti-biofilm or anti-virulence approaches. Full article

Polymer-based biosensors have evolved from passive supports into active functional elements that dictate analytical performance in complex real-world samples. This critical review with meta-trend analysis examines 96 original research articles published between 2015 and 2025, evaluating how four polymer classes (conductive polymers, redox-mediator polymers, hydrogels, and molecularly imprinted polymers) address matrix effects in food, beverage, environmental and clinical applications. Electrochemical detection dominates (79% of studies), with conductive polymers enabling low-potential operation that excludes electroactive interference. Hydrogels achieve superior precision (RSD below 3%) in protein-rich matrices through biocompatible microenvironments that preserve enzyme kinetics. Molecularly imprinted polymers provide unmatched stability in harsh environments for trace-level detection of heavy metals and toxins, though delayed response times from slow analyte diffusion persist. Critical evaluation exposes validation deficits: 91% of studies omit limits of quantification, while approximately one-third lack reproducibility (33%) and precision (30%). The multi-matrix challenge, maintaining calibration across different hostile environments, remains the primary barrier to commercial deployment. Advanced architectures, including nanocapsulation, hierarchical nanocomposites, and microneedle-integrated systems, offer pathways to overcome limitations in fouling resistance and operational stability. Full article

Bacterial adaptation to hostile environments depends on the coordinated expression of stress response genes. When adverse conditions persist and nutrients become limiting, sporulating species may initiate sporulation as a last-resort survival strategy. However, sporulation under such conditions may alter the resistance and germination properties of the resulting spores. In this study, we investigated whether stress response regulators that facilitate vegetative cell adaptation to temperature and/or salinity changes during growth can influence the properties of Bacillus subtilis 168 spores. To this end, we examined the resistance and germination of mutant spores lacking key regulators of stress response pathways (SigB, SigW, SigX, Fur, HrcA, CtsR, and CssRS regulon), all produced under optimal sporulation conditions. The constitutive activation of the SigB-mediated general stress response, achieved through the deletion of its negative regulator RsbX, reduced spore heat resistance by 2.2-fold compared to the parental strain, while no effect was observed in vegetative cells. Additionally, ΔrsbX spores displayed both impaired nutrient-induced and CaDPA-induced germination. Collectively, these findings suggest that stress response regulators can influence spore behavior, although their effects may differ from those observed in vegetative cells. Full article

Background: Personality traits, particularly those belonging to the Dark Triad (Machiavellianism, narcissism, and psychopathy), may influence violent behavior and adaptation to the prison environment. Methods: The study included 250 male inmates from Bucharest-Jilava Penitentiary, aged between 20 and 67 years. The Emotional Stability Scale (IPIP), the Buss–Perry Aggression Questionnaire, and the Short Dark Triad Scale (SD3) were administered. Statistical analyses included Pearson correlations, multiple linear regressions, and binary logistic regressions. Results: Emotional stability was negatively correlated with aggression (r = −0.48, p < 0.01). Psychopathy significantly predicted physical aggression (t = 11.96, p < 0.001) and anger (t = 9.53, p < 0.001), whereas Machiavellianism predicted verbal aggression (t = 3.14, p = 0.002) and hostility (t = 4.73, p < 0.001). Higher levels of physical aggression were associated with a lower likelihood of participation in educational activities (Exp(B) = 0.93, p = 0.032). Conclusions: The influence of Dark Triad traits on aggression is differentiated, with psychopathy exerting the strongest effect. Low emotional stability increases vulnerability to hostile behaviors. These findings support the need for multidimensional psychological assessments and tailored intervention programs designed to enhance violent offenders’ engagement in educational activities aimed at impulse control and empathy development within the prison environment. Full article

Heritage speakers’ language acquisition is a complex process that is affected by linguistic, social, cultural, and affective factors. Studies on heritage speakers (HSs) have primarily focused on challenges HSs face in the classroom and scarcely investigated these challenges outside of instructional settings. This study addresses this gap by exploring the lived experiences of two young adult Spanish HSs outside of educational settings through a series of interviews to create personal narratives of their HL and experiences. Through Narrative Interpretative Phenomenological Analysis (NIPA), three main themes emerged from these narratives: (1) Spanish heritage language (HL) knowledge and language use, (2) emotional factors that hinder language knowledge and language use, and (3) self-positioning towards SHL and culture. The findings indicated that the participants’ experiences with their Spanish heritage language (SHL) were profoundly impacted by the nature of language input they received, hostile environments, and negative interactions with members of their communities, which led to emotional distress and communicative avoidance. This situated study also offers potential conceptual and community-based implications for the Spanish HSs. Full article

Cyber-trauma has emerged as an important concern within online gaming environments, with growing implications for children’s mental health and well-being. Multiplayer games increasingly function as routine spaces for interaction, competition, and informal learning, which may expose young players to hostile behaviours such as harassment, hate speech, exclusion, and repeated targeting. Understanding the psychological consequences of these experiences and the protective role of family support is therefore essential. This study investigates the relationship between cyber-trauma victimisation (CV) and four mental health outcomes—depressive symptoms (DS), anxiety symptoms (AS), perceived stress (PS), and emotional distress (ED)—among Generation Alpha student gamers, while examining parental support as a moderating factor. Survey data were collected from 1223 students of diverse Arab nationalities enrolled in schools in Saudi Arabia, with Saudi nationals representing approximately 15% of the sample. The results indicate that CV is a strong and consistent predictor of all examined mental health outcomes. Higher levels of CV are significantly associated with increased depressive symptoms (β = 0.58), anxiety symptoms (β = 0.55), perceived stress (β = 0.52), and emotional distress (β = 0.60) (all p < 0.001). Parental support significantly moderates these relationships, weakening the association between cyber-trauma exposure and adverse psychological outcomes. These findings contribute to the growing literature on children’s digital well-being by demonstrating that online gaming environments can serve as meaningful psychosocial stressors for young players. The results further highlight the importance of family-centred protective mechanisms, suggesting that parental emotional support, guidance, and communication can play a critical role in buffering the mental health risks associated with hostile online interactions. Full article

Objective: This metasynthesis analyzes the current evidence on the perceptions of sexism among video game players (men and women) and the video game industry. Methods: The databases Scopus and ProQuest were used to select 15 qualitative studies in a final analysis. The analysis used the reciprocal translation technique to analyze and interpret the data. Results: Three primary themes emerged: normalized violence in gamer environments (n = 13), strategies to confront sexism/gender harassment (n = 10), and internal ambivalence and tension (n = 10). The results show that female videogame players experience daily hostility due to the fact of being women in an environment of male dominance. This leads to recurring confrontations, which can result in female video game players being questioned in terms of identity and behavior by both themselves and the community. Conclusions: This metasynthesis suggests that sexism in online video game environments is not an isolated phenomenon and directly affects the experience of female video game players. Furthermore, it highlights the importance of further exploring the perceptions and experiences of different groups within gamer communities, in order to make progress towards a more egalitarian and diverse culture. Full article

The hypersaline soils of the Odiel Saltmarshes Natural Area in Southwest Spain harbor highly diverse microbial communities adapted to extreme conditions. However, their genomic diversity remains largely unexplored. In addition to high salinity, these soils are contaminated with heavy metals, creating a hostile environment of great interest for studying extremophilic microorganisms and their metabolic adaptations. This study aims to characterize the uncovered prokaryotic taxa as Candidatus species inhabiting the hypersaline soils of the Odiel Saltmarshes, based on their metagenomic assembled genomic sequences. The reconstructed genomes were assessed for quality based on completeness and contamination thresholds and subsequently taxonomically classified. Comparative genomic analysis of six high-quality MAGs revealed key metabolic traits related to survival under extreme salinity and heavy metal conditions. The findings provide new insights about microbial diversity of hypersaline environments and expand the catalog of known prokaryotic genomes. Detailed characterization of six novel Candidatus taxa highlights the unique adaptations of these microorganisms, enhancing our understanding of life in extreme habitats. Full article

Trajectory prediction is critical for safe robot navigation, yet standard deep learning models predominantly rely on the Mean Squared Error (MSE) criterion. While effective under ideal conditions, MSE-based optimization is inherently fragile to non-Gaussian impulsive noise—such as sensor glitches and occlusions—common in real-world deployment. To address this limitation, this paper proposes MEE-LSTM, a robust forecasting framework that integrates Long Short-Term Memory networks with the Minimum Error Entropy (MEE) criterion. By minimizing Renyi’s quadratic entropy of the prediction error, our loss function introduces an intrinsic “gradient clipping” mechanism that effectively suppresses the influence of outliers. Furthermore, to overcome the convergence challenges of fixed-kernel information theoretic learning, we introduce a Silverman-based Adaptive Annealing (SAA) strategy that dynamically regulates the kernel bandwidth. Extensive evaluations on the ETH and UCY datasets demonstrate that MEE-LSTM maintains competitive accuracy on clean benchmarks while exhibiting superior resilience in degraded sensing environments. Notably, we identify a “Scissor Plot” phenomenon under stress testing: in the presence of 20% impulsive noise, the proposed model maintains a stable Average Displacement Error (ADE “≈” 0.51 m), whereas MSE baselines suffer catastrophic degradation (ADE > 2.1 m), representing a 75.7% improvement in robustness. This work provides a statistically grounded paradigm for reliable causal inference in hostile robotic perception. Full article

This paper explores the feasibility of using acoustic wave propagation, particularly in the ultrasonic range, as a solution for data transmission in environments where traditional radio frequency (RF) communication is ineffective due to signal attenuation—such as in liquids or dense media like metal or stone. Leveraging GNU Radio and commercially available audio hardware, a low-cost, SDR (Software Defined Radio) system was developed to transmit data blocks (e.g., images, text, and audio) through various substances. The system employs BFSK (Binary Frequency Shift Keying) and BPSK (Binary Phase Shift Keying), operates at ultrasonic frequencies (typically 40 kHz), and has performance validated under real-world conditions, including water, viscous substances, and flammable liquids such as hydrocarbon fuels. Experimental results demonstrate reliable, continuous communication at Nyquist–Shannon sampling rates, with effective demodulation and file reconstruction. The methodology builds on concepts originally developed for Ad Hoc Sensor Networks in shipping containers, extending their applicability to submerged and RF-hostile environments. The modularity and flexibility of the GNU Radio platform allow for rapid adaptation across different media and deployment contexts. This work provides a reproducible and scalable communication solution for scenarios where RF transmission is impractical, offering potential applications in underwater sensing, industrial monitoring, railways, and enclosed infrastructure diagnostics. Across controlled laboratory experiments, the system achieved 100% successful reconstruction of transmitted image files up to 100 kB and sustained packet delivery success exceeding 98% under stable coupling conditions. Full article

Background/Objectives: British trans and gender-expansive individuals face stigma and consistently experience lengthy waits for gender-enhancing interventions. Researchers are using a range of qualitative methodologies to give this marginalised community a voice. In this study the focus is on the lived experiences of British transgender men seeking medical intervention around their gender identity. The aim was to explore how psychological well-being for this group of transmen was both threatened and supported. Methods: Online semi-structured interviews using auto-photography were conducted with eleven transmen aged between 18 and 68 years. Both verbal and visual data were analysed together using interpretive phenomenological analysis. Analysis: Three themes focus on challenges and supportive strategies utilised by participants both before their decision to transition and after. All participants expressed significant mental health difficulties before commencing their transition, typically originating from childhood and continuing until they gained access to gender-affirming medical care. Their transition journeys damaged their well-being through resistance and rejection from families and communities, and difficulties navigating healthcare systems. A series of resources which significantly enhanced well-being were also reported. Unconditional acceptance and belonging found within and beyond the trans community, connecting with nature and ultimately progressing with gender-affirming healthcare were key elements in protecting and promoting well-being. Conclusions: The toll on the well-being of trans and other gender-expansive individuals is considerable and recent changes in UK law have exacerbated the hostile environment faced by TGE individuals. Community-based allyship and access to affirmative professional psychological support at all stages is vital. Full article

Vultures are extraordinarily adapted to feed on carrion, providing them with a constant microbiologically hostile environment. This peculiar ecological position has influenced the evolution of their gut microbiota, potentially conferring its uncommon antimicrobial traits and resistance to stress. In this study, we report on the isolation and comprehensive characterization of a lactic acid bacterium strain, identified as Ligilactobacillus agilis, from vulture feces via 16S rRNA gene sequencing. This strain exhibited potent antagonistic activity against several clinically relevant bacterial pathogens, including Salmonella enterica Typhimurium (25.26 ± 0.26 mm), Escherichia coli (23.5 ± 0.88 mm), Staphylococcus aureus (23.1 ± 1.8 mm), and Listeria monocytogenes (24.88 ± 0.61 mm), as demonstrated by agar well diffusion assays. Remarkably, it also demonstrated considerable resilience in simulated gastrointestinal conditions, with survival rates of 52.5 ± 7.4% in artificial gastric juice and 61.1 ± 3.7% in intestinal fluids. Antimicrobial susceptibility profiling confirmed its sensitivity to a broad range of commonly used antibiotics, including gentamicin, streptomycin, clindamycin, and penicillin. Whole-genome sequencing further revealed a complete repertoire of core genes associated with genetic information processing, robust carbohydrate metabolism, and nutrient assimilation, underscoring its adaptability and probiotic potential. It is important to note that the analysis of the assembled genome against VFDB did not show the presence of any known virulence factor according to the given criteria, which is preliminary evidence of safety-related aspects that are to be followed with the help of guideline-based analyses. Taken together, the unique ecological origin and in vitro inhibitory activity against the tested pathogens, gastrointestinal robustness, genomic features, and safety credentials position this L. agilis strain as a promising probiotic candidate for mitigating enteric infections in animal production systems, warranting further functional validation and in vivo efficacy studies. Full article

In recent years, the rapid development of commercial satellite projects, such as low-Earth orbit (LEO) communication and remote sensing constellations, has driven the satellite industry toward low-cost, rapid development, and large-scale deployment. Commercial off-the-shelf (COTS) components have been widely adopted across various commercial satellite platforms due to their advantages of low cost, high performance, and plug-and-play availability. However, the space environment is complex and hostile. COTS components were not originally designed for such conditions, and they often lack systematically flight-verified protective frameworks, making their reliability issues a core bottleneck limiting their extensive application in critical missions. This paper focuses on COTS solid-state drives (SSDs) onboard the Jilin-1 KF satellite and presents a full-lifecycle reliability practice covering component selection, system design, on-orbit operation, and failure feedback. The core contribution lies in proposing a full-lifecycle methodology that integrates proactive design—including multi-module redundancy architecture and targeted environmental stress screening—with on-orbit data monitoring and failure cause analysis. Through fault tree analysis, on-orbit data mining, and statistical analysis, it was found that SSD failures show a significant correlation with high-energy particle radiation in the South Atlantic Anomaly region. Building on this key spatial correlation, the on-orbit failure mode was successfully reproduced via proton irradiation experiments, confirming the mechanism of radiation-induced SSD damage and providing a basis for subsequent model development and management decisions. The study demonstrates that although individual COTS SSDs exhibit a certain failure rate, reasonable design, protection, and testing can enhance the on-orbit survivability of storage systems using COTS components. More broadly, by providing a validated closed-loop paradigm—encompassing design, flight verification and feedback, and iterative improvement—we enable the reliable use of COTS components in future cost-sensitive, high-performance satellite missions, adopting system-level solutions to balance cost and reliability without being confined to expensive radiation-hardened products. Full article

Meniscal preservation is increasingly recognized as a critical determinant of long-term knee joint health, yet successful repair remains challenging due to the meniscus’s limited intrinsic healing capacity. The adult meniscus is characterized by restricted vascularity, low cellularity, a dense extracellular matrix, complex biomechanical loading, and a hostile post-injury intra-articular inflammatory environment—factors that collectively impair meniscus healing, particularly in the avascular zones. Over the past several decades, a wide range of biologic augmentation strategies have been explored to overcome these barriers, including synovial abrasion, fibrin clot implantation, marrow stimulation, platelet-derived biologics, cell-based therapies, scaffold coverage, and emerging biologic and biophysical interventions. This review summarizes the biological basis of meniscal healing, critically evaluates current and emerging biologic augmentation techniques, and integrates these approaches within a unified framework of vascular, cellular, matrix, biomechanical, and immunologic targets. Understanding and modulating the cellular and molecular mechanisms governing meniscal degeneration and repair may enable the development of more effective, mechanism-driven strategies to improve healing outcomes and reduce the risk of post-traumatic osteoarthritis. Full article

The energy transition in Ibero-American countries demands significant diversification, yet the vast potential of offshore renewable energies (ORE) remains largely untapped. Slow adoption is often attributed to the hostile marine environment, high investment costs, and a lack of institutional, regulatory, and industrial readiness. A critical barrier for policymakers is the absence of methodologically robust tools to assess national preparedness. Existing indices typically rely on simplistic weighting schemes or are susceptible to known flaws, such as the rank reversal phenomenon, which undermines their credibility for strategic decision-making. This study addresses this gap by developing a multi-criteria decision-making (MCDM) framework based on a problem-specific synthesis of established optimization principles to construct a comprehensive Offshore Readiness Index (ORI) for 13 Ibero-American countries. The framework moves beyond traditional methods by employing an advanced weight-elicitation model rooted in the Robust Ordinal Regression (ROR) paradigm to analyze 42 sub-criteria across five domains: Regulation, Planning, Resource, Industry, and Grid. Its methodological core is a non-linear objective function that synergistically combines a Shannon entropy term to promote a maximally unbiased weight distribution and to prevent criterion exclusion, with an epistemic regularization penalty that anchors the solution to expert-derived priorities within each domain. The model is guided by high-level hierarchical constraints that reflect overarching policy assumptions, such as the primacy of Regulation and Planning, thereby ensuring strategic alignment. The resulting ORI ranks Spain first, followed by Mexico and Costa Rica. Spain’s leadership is underpinned by its exceptional performance in key domains, supported by specific enablers, such as a dedicated renewable energy roadmap. The optimized block weights validate the model’s structure, with Regulation (0.272) and Electric Grid (0.272) receiving the highest importance. In contrast, lower-ranked countries exhibit systemic deficiencies across multiple domains. This research offers a dual contribution: methodological innovation in readiness assessment and an actionable tool for policy instruments. The primary policy conclusion is clear: robust regulatory frameworks and strategic planning are the pivotal enabling conditions for ORE development, while industrial capacity and infrastructure are consequent steps that must follow, not precede, a solid policy foundation. Full article