Search Results (5,579)

Background/Objectives:Human papillomaviruses (HPVs) are the most common sexually transmitted viruses worldwide and are strongly associated with multiple cancers, including cervical cancer. In France, HPV prevention relies on a combination of organized cervical cancer screening and prophylactic vaccination; however, coverage remains below international targets. Methods: This narrative review summarizes recent advances in HPV prevention in France, with a focus on screening strategies, including the integration of high-risk HPV testing and vaginal self-sampling, as well as vaccination policies that now include both girls and boys, notably through school-based programs. Results: International comparisons, particularly with Australia and several European countries, are used to highlight successful strategies and transferable lessons that could enhance the effectiveness of French prevention efforts. The review also discusses persistent barriers to uptake, including social, organizational, and cultural factors, and considers opportunities to reduce inequalities in access to prevention. Conclusions: Overall, this work provides a comprehensive overview of the current landscape of HPV prevention in France and situates national efforts within a global public health context, offering insights for policy development and future research directions. Full article

Children with Autism Spectrum Disorder (ASD) frequently exhibit marked impairments in nonverbal communication, particularly in eye contact, which serves as a foundational element for social interaction and relational development. This study evaluated the effectiveness of an early intervention program utilizing interactive games supported by Augmented Reality (AR) technology to enhance eye contact behaviors, specifically initiation and maintenance, in children with autism. Using a multiple baseline across participants single-case experimental design, four boys (aged 5–7 years) diagnosed with ASD participated in an 8-week intervention at a specialized center in Saudi Arabia. The intervention featured tablet-based, gamified AR tasks incorporating real-time visual feedback, graduated difficulty levels, and reinforcement mechanisms designed to elicit social gaze and sustained eye contact. Eye contact duration and frequency were measured during structured social interactions via systematic direct observation. The results demonstrated significant improvements across all participants, with the mean duration of eye contact increasing from a baseline of 2.0 s to 5.8 s post-intervention. Visual analysis revealed robust treatment effects, further supported by substantial Tau-U effect sizes (range = 0.89–0.96; M = 0.93). Follow-up data collected three weeks post-intervention confirmed the maintenance of gains for three of the four participants. These findings suggest that AR-based interventions provide an effective and culturally responsive approach for enhancing specific nonverbal communication behaviors among children with autism in Middle Eastern contexts. Implications for clinical practice and directions for future research are discussed. Full article

As an effective approach to boosting consumption and facilitating the recycling of consumer goods, trade-in programs have been widely adopted by branders and e-commerce platforms. A platform supply chain system comprising e-commerce platforms and branders is investigated in this paper for this purpose. We construct a two-stage dynamic game model encompassing eight scenarios, discussing the provision of trade-in programs and product recycling issues under the resale and agency selling modes. Below are the key findings: (1) Trade-In Programs: In the resale mode, both branders and platforms prefer to adopt self-recycling when market potential is large, while opting for recycling undertaken by the other party when market potential is small. In the agency selling mode, branders prefer to adopt self-recycling (B-II) when fixed costs are high and the salvage value of used products is high, while platforms choose platform-led recycling (P-II) when fixed costs are low and the salvage value of used products is high. (2) Product Recycling: In the resale mode, branders should opt for self-recycling when facing high fixed costs, small market potential, and high salvage values, while outsourcing is more appropriate when salvage values are low. When the market potential is low, the platform ought to prefer self-recycling if the salvage value is either sufficiently high or sufficiently low; otherwise, outsourcing is preferable. In the agency selling mode, when the salvage value of used products is relatively high, platforms tend to have a free-riding mentality. When platforms provide trade-in programs, they will prioritize self-recycling if the salvage value is higher. In contrast, branders consistently achieve maximum profits when platforms adopt self-recycling. (3) Selection of Selling Mode: Branders always prefer the Full article

In social science degree programs, where Statistics is not a core subject, students often experience anxiety and negative attitudes that influence their engagement and may hinder academic performance. This study examines the role of positive emotions in the teaching of Probability Calculus and Inferential Statistics in Business Administration and Management studies, analyzing their relationship with students’ engagement in Problem-Based Learning (PBL). The research is framed as an exploratory single-campus case study conducted with a modestly sized sample of undergraduate students from a single Faculty. Moving beyond traditional approaches that view emotions merely as outcomes of learning, our model assumes that positive emotions, both prior to and following the PBL experience, shape students’ perceptions of its usefulness, their collaborative behaviors, and their communication with instructors. Using Structural Equation Modeling (SEM) and Cluster Analysis, the findings show that positive emotions are a key driver of students’ predisposition toward and engagement with PBL, indicating that cultivating a supportive emotional climate enhances participation and deepens the understanding of statistical concepts. These results suggest that fostering emotional engagement is essential not only for improving motivation and academic outcomes in Statistics but also for developing transversal and sustainability-related competencies such as critical thinking, collaboration, communication, and evidence-based decision-making. The study contributes to current discussions on sustainable and inclusive teaching practices by highlighting the importance of integrating socio-emotional dimensions into active learning methodologies in higher education. Full article

Incentive-based demand response (DR) programs rely on accurate and trustworthy quantification of customer performance to ensure fair compensation and market efficiency. Estimating the customer baseline load is an important part of this process. It shows how much electricity would be used if there were no DR occurrence. Unlike conventional load forecasting, baseline modeling is inherently unobservable, economically sensitive, and vulnerable to strategic manipulation. With the growing penetration of distributed energy resources, electric vehicles, and intelligent control technologies, traditional baseline estimation approaches face increasing limitations. This paper offers a thorough and future-oriented synthesis of baseline load estimation for incentive-based DR strategies. Current approaches are carefully classified into rule-based, statistical, probabilistic, machine learning (ML), and hybrid intelligence techniques, and their appropriateness for various DR services and client categories is rigorously evaluated. Beyond modeling accuracy, this paper emphasizes market-oriented requirements, including incentive compatibility, simplicity, transparency, privacy preservation, and deployment feasibility. Furthermore, emerging digital trust enablers such as blockchain and FL are reviewed, along with baseline-free and baseline-light alternatives for performance evaluation. Finally, open research challenges and future directions toward interpretable, robust, and market-ready baseline intelligence are discussed. Full article

Background/Objectives: Children and adolescents on the autism spectrum often experience delays in both gross and fine motor skills, which can limit their participation in physical activity and everyday tasks. Methods: This narrative review synthesizes evidence from 88 peer-reviewed studies examining fundamental motor skills, broader motor competence, and perceived motor competence in individuals aged 3–18 years with a formal diagnosis of autism. Results: Across the literature, children with autism consistently demonstrate lower proficiency in locomotor and object control skills compared with their typically developing peers, while perceived competence emerges as an important factor influencing motivation and engagement. Intervention studies—most commonly school-based or structured physical activity programs—generally report short-term improvements in motor performance, although outcomes vary depending on study design, dosage, and assessment tools. The review also highlights substantial methodological heterogeneity and a notable lack of evidence concerning adolescents, underscoring the need for longitudinal and developmentally sensitive research. Conclusions: Practical implications are discussed for creating supportive movement environments in educational and adapted physical activity settings. This review follows a narrative synthesis approach informed by a structured search strategy. Full article

Median overall survival remains a central endpoint in oncology, but it can obscure a clinically meaningful long tail of patients with advanced solid tumors who survive well beyond the median. One biological context in which this pattern may be relevant is tumor microenvironment (TME) acidosis. Driven by aerobic glycolysis, hypoxia, impaired perfusion, and proton-export programs, acidic TME is increasingly implicated in invasion, therapeutic resistance, and immune suppression. This narrative review examines TME acidosis as the primary biological framework and considers long-tail survival as a clinical lens through which its implications may be interpreted. We summarize the biological basis and heterogeneity of acidic TME, review current approaches to clinical and translational assessment of tumor acidity, including acidoCEST magnetic resonance imaging (MRI) and positron emission tomography (PET)-based approaches, and discuss the potential and limitations of alkalization-oriented interventions such as buffering and diet-based strategies. Particular attention is given to the distinction between direct measurements of tumor acidity and clinically feasible but indirect markers such as urinary pH, which should not be interpreted as a direct surrogate for local tumor extracellular pH. From a science-based medicine perspective, long-tail survival is treated here as a hypothesis-generating clinical signal rather than proof of causality. Overall, alkalization-oriented interventions appear biologically plausible and clinically testable, but current clinical evidence remains limited and context-dependent. Future progress will require mechanistically informed biomarkers, careful safety evaluation, and trial designs capable of detecting delayed separation of survival curves and tail-oriented patterns of benefit. Full article

Wireless sensor networks using battery-powered, low-cost sensors, due to their non-rechargeability and strictly limited energy resources, are more sensitive to energy efficiency than other networks of this type. Clustered wireless sensor networks address this problem. In these networks, the most energy-intensive communication, i.e., a long-range one, is carried out via designated nodes, called cluster head nodes, while other cluster nodes communicate with their cluster heads. Cluster head node selection is handled by appropriate routing protocols, and newly designed protocols are first tested in simulations. Among the simulators of cluster head selection protocols, those implemented in a MATLAB environment play an important role, and among these, those implementing a first-order radio model to estimate the energy cost of transmission, both at the transmitter and at the receiver, play a particularly important role. This paper presents and discusses the energy aspects of MATLAB-based open-source wireless sensor network environments that employ the first-order radio model for the simulation of cluster head selection protocols. Current MATLAB-based open-source simulators of cluster head selection protocols were inventoried and analyzed. The review results showed that the first-order radio model had been used in its classic form for years, with the same default parameters. Although the simulators were written using different programming paradigms, precluding simple copy-and-paste, the first-order radio model was generally similar. However, there were exceptions to this rule. A hard exception is the simulator for a body-area wireless sensor network, which only implements a version of the first-order radio model specific to that environment. Soft exceptions are two simulators of the popular cluster head selection protocol, which implemented only half the functionality of the classic first-order radio model. On the one hand, this demonstrates both the widespread use of a conservative approach to the model, which ensures relatively easy repeatability of simulation results, and, on the other hand, the flexibility of the model, which allows its extension to other environments. Finally, the limitations of the model are presented and directions for future research are indicated. Full article

Ionizing radiation therapy has undergone a clear paradigm shift in veterinary oncology and inflammatory disease management, moving from mainly palliative use toward structured, curative treatment programs. This review synthesizes current evidence on key modalities used in veterinary practice, including external beam radiotherapy, brachytherapy, systemic targeted radionuclide therapy, stereotactic radiosurgery, stereotactic body radiotherapy, radiosynoviorthesis, and low-dose radiotherapy. Each modality is discussed in relation to its physical and biological basis, major isotopes or beam types, routes of delivery, target species such as dogs, cats, and horses, clinical indications, and global availability. Comparative analysis highlights differences in clinical acceptance, evidence strength, access, and cost. External beam radiotherapy and stereotactic techniques support curative tumor management, whereas radiosynoviorthesis and low-dose radiotherapy are effective for inflammatory and degenerative disorders. Despite ongoing progress, challenges remain in access, dosimetry standardization, and prospective evidence. Companion animals are also emphasized as valuable translational models, guiding future innovation and collaboration internationally. Full article

Bioactive polyphenols are increasingly recognized as modulators of multiple biological processes relevant to human health and disease. Among these compounds, genistein, a soy-derived isoflavone, and butein, a naturally occurring chalcone, have been investigated for their anticancer, anti-inflammatory, and metabolic regulatory activities, primarily in in vitro and preclinical experimental models. Despite their distinct chemical structures, available evidence indicates that genistein and butein can influence key molecular pathways involved in cell survival, energy metabolism, and programmed cell death. Experimental studies have shown that these compounds may modulate PI3K/Akt and MAPK/ERK signaling, alter glycolytic and mitochondrial metabolism, and induce apoptotic responses through caspase activation and poly(ADP-ribose) polymerase cleavage. This review provides a comprehensive overview of the chemical characteristics, bioavailability, and proposed molecular mechanisms of action of genistein and butein, with a particular focus on their potentially convergent roles in metabolic reprogramming and apoptotic signaling networks. In addition, we discuss the conceptual basis for combination approaches involving these compounds, emphasizing systems-level pathway modulation rather than definitive pharmacological synergy. Importantly, many of the reported biological effects have been observed under experimental conditions using concentrations that may exceed physiologically achievable concentrations, thereby limiting direct extrapolation to clinical settings. Furthermore, the current evidence base is constrained by limited in vivo validation and a lack of robust clinical data, particularly for butein. Future studies are required to better define pharmacokinetic properties, physiological relevance, and context-dependent biological effects, thereby providing a more rigorous framework for future evaluation of the translational potential of genistein and butein. Full article

Introduction: Lung cancer remains the leading cause of cancer-related mortality among men in Poland. Prognosis is generally poor, largely due to late diagnosis at advanced stages and the aggressive biological nature of the disease. Aim: This study aimed to evaluate the effectiveness of various treatment modalities and determine their impact on overall survival in male patients diagnosed with small-cell (SCLC) and non-small-cell lung cancer (NSCLC). Methods: This retrospective cohort study analyzed 1431 men (mean age: 61.5 years) treated at the Katowice Oncology Center in Poland between 2002 and 2012. Overall survival was assessed using the Kaplan–Meier method and multivariable Cox proportional hazards regression. Evaluated prognostic factors included clinical stage, surgical intervention (partial or total lung resection), first-line treatment regimen, and the number of treatment cycles. Results: Survival probabilities declined progressively with advancing clinical stage for both SCLC and NSCLC. Patients who underwent surgical resection demonstrated significantly longer survival compared to non-surgically treated patients (p < 0.001). Furthermore, combined radiochemotherapy yielded superior therapeutic outcomes compared to chemotherapy alone. In the non-surgical NSCLC cohort, first-line treatment with platinum derivatives combined with gemcitabine resulted in the highest 1-year survival rate compared to other pharmacological schemes. Discussion: The high mortality observed within the first 12 months post diagnosis reflects the late-stage presentation common during the study period. The findings align with established oncological principles, confirming that surgical resection and multimodal therapies offer the greatest survival advantages for eligible patients. Conclusions: Survival rates for both SCLC and NSCLC are overwhelmingly dictated by early diagnosis and the feasibility of surgical resection. Improving long-term outcomes depends heavily on implementing effective lung cancer screening programs to detect the disease at operable stages and utilizing optimized combined treatment protocols. Full article

Rutin is a naturally occurring flavonoid with well-documented antioxidant and pharmacological properties. In this study, a manganese(II) complex with rutin (Mn(II)-Rut) was synthesized in a solid state and characterized using FT-IR, Raman spectroscopy, thermogravimetric and elemental analysis, confirming its composition as C₂₇H₂₇O₁₆Mn₂·5H₂O. The IR spectra indicated that rutin coordinates manganese ions through the carbonyl group at the C4 position and the hydroxyl group at the C5 atom, as well as the catecholic system. The antioxidant potential of both Mn(II)-Rut and rutin was evaluated using several spectrophotometric assays. The Mn(II)-Rut complex showed stronger activity in most spectrophotometric assays than rutin, i.e., in ABTS assay, 50.37 ± 2.64% vs. 41.49 ± 1.38%; in CUPRAC assay, 0.468 ± 0.006 mM Trolox vs. 0.379 ± 0.007 mM Trolox; and FRAP assay, 0.201 ± 0.002 µM vs. 0.189 ± 0.003 µM. However, the DPPH assay complex showed a diminished effect compared with ligand (IC₅₀ 2.78 ± 0.13 µM vs. 0.98 ± 0.04 µM for rutin). Quantum-chemical calculations were also performed using the Gaussian09 program to determine the optimized geometric structures, electron charge distribution, and the energies of the HOMOs and LUMOs in the analyzed molecules in order to discuss the antioxidant mechanism of the molecules. Enzymatic assays demonstrated that the Mn(II) complex with rutin exhibited a stronger α-amylase inhibitory effect compared to free rutin, which showed the potential antidiabetic activity of the compound. The results suggest that the Mn(II) complex of rutin possesses better antioxidant and α-amylase inhibitory activity than the ligand alone. Full article

Epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) has historically been regarded as a therapeutically uniform entity, characterized by marked sensitivity to EGFR tyrosine kinase inhibitors (TKIs) and limited responsiveness to immune-checkpoint inhibitors (ICIs). However, accumulating clinical and translational data suggest heterogeneity within EGFR-mutant NSCLCs. In particular, patients whose tumors express high levels of programmed death-ligand 1 (PD-L1) consistently experience inferior outcomes with EGFR-TKI monotherapy, including earlier progression and reduced response durability, even with third-generation EGFR-TKIs. This review synthesizes clinical, molecular, and immunologic evidence supporting the hypothesis that EGFR-mutant NSCLC with high PD-L1 expression may represent a biologically distinct phenotype. Key findings include data from retrospective cohorts, real-world analyses, and translational studies showing high PD-L1 expression to be associated with attenuated oncogene addiction, increased genomic complexity, tumor cell plasticity, and a dysfunctional but non-quiescent immune microenvironment. Notably, in this context, PD-L1 expression does not reliably predict benefit from ICIs but, rather, serves as a marker of aggressive tumor biology and early resistance to EGFR-TKI therapy. Lastly, we discuss the therapeutic implications of these observations, outlining the rationale for biomarker-informed, risk-adapted treatment strategies, including EGFR-TKI-based combinations, while emphasizing the need for careful integration of immunotherapy and prospective validation. Full article

In recent years, inclusive education in Spain has undergone significant legislative and pedagogical progress. However, its implementation still faces challenges, particularly regarding teachers’ attitudes and practices. The main objective of this study was to analyze how socioemotional competencies (self-esteem, prosociality, and emotional autonomy) are related to primary school teachers’ attitudes toward inclusive education. A total of 590 teachers from the Valencian Community, aged between 25 and 60 years (Mage = 33.33 years; 88.7% women), participated in the study by completing a battery of validated quantitative scales. The results indicated that most teachers exhibited medium levels across all three competencies, with significant differences by gender (higher prosociality in women and higher self-esteem in men) and teaching experience (prosociality decreased over time, while self-esteem increased). Furthermore, a positive and significant relationship was found between the three socioemotional competencies and inclusive attitudes, with emotional autonomy emerging as the strongest predictor, followed by self-esteem and, to a lesser extent, prosociality. These findings underscore the need to incorporate socioemotional competence development into teacher training programs to foster more inclusive educational environments. The implications and limitations of the relationships between the examined socioemotional competencies, inclusive attitudes, and sociodemographic and professional experience variables are discussed. Full article

Several long-standing empirical laws in geophysics have recently come under scrutiny, with emerging evidence suggesting that some may be based on misinterpretations of seismic data. These developments have been facilitated by the application of Exploratory Data Analysis (EDA), a statistical approach that emphasizes data-driven discovery over model-driven assumptions. This tutorial review introduces EDA as a practical and reproducible framework for seismic data analysis using the R programming environment. Through selected case studies, I demonstrate how EDA can reveal overlooked patterns, challenge conventional models, and offer new insights into earthquake behavior. The article also outlines key methodological tools, including Principal Component Analysis (PCA) and three-dimensional visualization, and discusses ongoing challenges and future directions for integrating EDA into mainstream seismological research. Full article