Search Results (36,824)

Background/Objectives: Social media’s impact on adult well-being varies by engagement patterns, highlighting the need for evidence to inform digital well-being strategies. This study examines the association between social media use and self-esteem, a key psychological indicator linked to adult well-being, with the aim of identifying modifiable behavioral targets relevant to clinical, workplace, and public health contexts. Methods: A cross-sectional survey of 81 Greek adults assessed daily social media use, engagement patterns, and self-esteem using the Rosenberg Self-Esteem Scale. Analyses included linear and exploratory quadratic regression models, multiple regression with demographic covariates (age, gender), and descriptive group comparisons. Results: A small but statistically significant negative association was observed between daily social media use and self-esteem (R² = 0.078), indicating limited explanatory power. Exploratory analyses did not provide strong evidence of non-linear effects. Demographic factors and usage categories were not significant predictors, likely reflecting limited statistical power. Participant self-reports highlighted potentially disruptive patterns such as intensive use at specific times/conditions, perceived sleep impact, and cognitive preoccupation with social media, as well as motivation to reduce or stop use. Conclusions: Time spent online is a weak predictor of self-esteem, underscoring the importance of engagement quality over frequency. From a management perspective, the findings support shifting attention from generic screen-time reduction to targeting specific potentially high-risk patterns of engagement in future policy and practice. This exploratory pilot study provides initial, hypothesis-generating evidence within a Greek adult sample and highlights the need for larger, population-based studies to confirm and extend these findings. Full article

This study investigates forest bioeconomy business models through a bibliometric analysis of more than 100 peer-reviewed articles retrieved primarily from the Scopus database. The purpose of the analysis was to identify prevailing research trends, collaborative structures, and thematic priorities that define this emerging field. A mixed-method approach was employed, integrating qualitative thematic coding with quantitative network analysis of co-authorship and keyword co-occurrence. The findings demonstrate a strong regional concentration of research activity in Northern and Central Europe, particularly in countries such as Finland, Germany, and Sweden, where forest-based bioeconomy strategies are strongly linked to national and EU policy frameworks. Core thematic clusters emphasize sustainability, circular economy principles, and participatory governance, reflecting the integrative and systemic orientation of current scholarship. The co-authorship networks highlight the role of a small but influential group of scholars and institutions in shaping knowledge production and fostering interdisciplinary collaboration. To advance the global relevance of the forest bioeconomy, the study recommends expanding geographic coverage to underrepresented regions, enhancing cross-disciplinary partnerships, and aligning research more closely with international policy agendas to support inclusive, circular, and sustainable forest-based transitions. Full article

The first 1000 days of life, starting from conception to a child’s second birthday, constitute a pivotal period for fetal lung and pulmonary vascular development. Maternal nutrition during this period plays an important role in fetal growth, immune programming and organ development, including that of the pulmonary system. This narrative review consolidates evidence linking maternal nutrition and early-life nutrient intake during this period with the development of pulmonary hypertension in the newborn. We examine the influence of both nutrient deficiencies and excesses on fetal lung and vascular development. We performed a structured search of PubMed and Embase (conducted from February 2025 to March 2025) and screened reference lists. Twenty-eight peer-reviewed studies were included, comprising human clinical and observational evidence and studies on animal models. The findings suggest that imbalances in maternal diet can disrupt placental function, induce inflammation, and trigger epigenetic alterations, all contributing to pulmonary vascular dysfunction and increased pulmonary hypertension susceptibility in neonates. Notably, maternal undernutrition and thiamine deficiency during lactation have been directly linked to pulmonary hypertension in infants. Conversely, high-fat diets and excessive polyphenol intake have been associated with adverse fetal cardiovascular remodeling. While current evidence is primarily derived from animal models and observational studies, it highlights the urgent need for targeted nutritional strategies and clinical trials during pregnancy. Although human causality is unproven for most exposures, studying maternal nutrition in the first 1000 days could offer a cost-effective method for reducing the burden of pediatric pulmonary hypertension and its long-term consequences and for prospective trials aimed at preventing early-life pulmonary vascular disease. Full article

Background: The tumor microenvironment (TME), composed of diverse immune and stromal cells, plays a key role in cancer progression. Among its components, tumor-associated neutrophils (TANs) and the desmoplastic reaction (DR) have emerged as important modulators of tumor behavior. While each has been extensively studied, their interrelationship and association with tumor grade and clinicopathological parameters remain unclear. Aim: This hypothesis-generating study aimed to explore the relationship between the presence of TANs, various types of DR, the grade of tumor malignancy, and other fundamental clinicopathological characteristics commonly studied in daily clinical practice. Materials and Methods: The study included a cohort of 65 cancer patients (N = 65). The average number of TANs was recorded. In hematoxylin and eosin (H&E)-stained sections, “hot spots” representing areas with the highest neutrophil density were first identified. The tumor-associated polymorphonuclear neutrophils were then counted in ten consecutive high-power fields (HPFs). In the same specimens, the DR was assessed and classified according to stromal texture. Results: TANs did not follow a normal distribution across any clinicopathological category (p < 0.05). Significant differences in TAN levels were observed among DR types (Kruskal–Wallis H = 9.890, p = 0.007), with higher counts in myxoid compared to mature stroma (Mean Rank = 41.58 vs. 24.80, p = 0.006). TAN levels also varied significantly with tumor grade (H = 22.384, p < 0.001), increasing from Grade 1 to Grade 3 (p < 0.013–0.001). Higher TAN counts were associated with cellular erythroblastic oncogene B2 (c-erbB2) positivity (H = 6.547, p = 0.038), perineural invasion (Mann–Whitney U = 179.5, p < 0.001), and ER/PR negativity (p = 0.016 and p = 0.044, respectively). No significant association was found with necrosis (p = 0.083). A near-significant relationship was identified between DR type and tumor differentiation grade (χ² = 9.448, p = 0.051), with mature stroma most common in Grade 1 tumors, keloid-like stroma in Grade 2, and myxoid stroma in Grade 3. Conclusions: High TAN levels were linked to aggressive tumor features and specific DR patterns. The association of myxoid stroma with elevated TAN infiltration may reflect a highly aggressive TME. These preliminary results warrant validation in larger, prospective studies. Full article

Ulcerative colitis (UC) is a chronic immune-mediated inflammatory disease characterized by substantial heterogeneity in histologic activity, which is frequently uncoupled from clinical symptoms and endoscopic findings. Persistent microscopic inflammation is increasingly recognized as a critical determinant of relapse, therapeutic failure, and long-term disease outcomes, underscoring the need for molecular frameworks that align directly with tissue-level immune dysregulation. Interleukins (ILs) represent central regulators of mucosal immunity in UC, integrating innate and adaptive immune responses that govern epithelial injury and resolution. In this narrative review, we synthesize mechanistic, translational, genetic, and clinical evidence examining IL networks associated with histologic disease activity and persistence. Particular emphasis is placed on IL-23-driven inflammatory pathways, which consistently align with histologic severity, sustained microscopic inflammation, and resistance to immune resolution. In contrast, preserved IL-10-mediated regulatory signaling characterizes histologic remission and effective mucosal healing, whereas its insufficiency permits ongoing tissue-level inflammation. Downstream effector ILs, including IL-6, IL-1β, IL-8, and IL-17A, are discussed as mediators translating upstream immune imbalance into neutrophil recruitment and epithelial injury. Throughout this review, the term “prognostic” is used to denote alignment with histologic disease behavior rather than validated prediction of clinical outcomes. Collectively, the evidence supports the concept that coordinated IL patterns reflect distinct immunopathologic states underlying microscopic inflammation in UC, providing a biologically coherent framework for interpreting histologic activity and disease persistence beyond symptom-based assessment. Full article

Obstructive sleep apnea (OSA) is a common disorder caused by recurrent upper airway obstruction during sleep, affecting individuals across the lifespan. In children, OSA commonly results from adenotonsillar hypertrophy and may resolve spontaneously or following surgical intervention. Among adolescents and adults, OSA is more frequently associated with modifiable lifestyle factors, particularly obesity. The natural history of OSA may evolve from intermittent snoring and mild disease to moderate or severe forms if left untreated, leading to reduced health-related quality of life and overall health deterioration. Early identification of OSA, especially in mild and moderate cases, allows timely interventions to improve OSA-associated indices and may prevent progression to severe disease. Continuous positive airway pressure therapy remains the treatment of choice for adults, providing effective symptom control and reducing long-term complications, although adherence rates vary. In obese patients, sustained weight reduction represents the most effective disease-modifying strategy: a ≥5% weight loss is associated with an approximately 80% reduction in progression risk, while bariatric surgery achieves remission in up to 60–65% of cases at one year. Emerging anti-obesity pharmacotherapies have also demonstrated clinically meaningful reductions in the apnea–hypopnea index. Comorbid conditions such as hypertension, type 2 diabetes, and depression exacerbate OSA severity, impair treatment response, and complicate overall disease management. This review uniquely integrates pediatric and adult longitudinal data, treatment-modified trajectories, and emerging therapeutic approaches to provide a life-course perspective on OSA natural history, highlighting opportunities for early, phenotype-directed intervention to possibly alter disease course and long-term outcomes. Full article

Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease, marked by progressive degeneration of upper and lower motor neurons. Clinically, genetically, and pathologically heterogeneous, ALS poses a major challenge for disease modeling and therapeutic translation. Over the past two decades, induced pluripotent stem cells (iPSCs) have reshaped our understanding of ALS pathogenesis and emerged as a promising translational platform for therapy development. ALS modeling has further expanded with the advent of three-dimensional systems, including ALS-on-chip platforms and organoid models, which better capture cell–cell interactions and tissue-level phenotypes. Despite these advances, effective disease-modifying therapies remain elusive. Recent clinical trial setbacks highlight the need for improved trial design alongside robust, translational iPSC models that can better predict therapeutic response. Nonetheless, the outlook is promising as large iPSC patient cohorts, quantitative phenotyping combined with genetically informed patient stratification, and reverse translational research are beginning to close the gap between in vitro discovery and clinical testing. In this review, we summarize the major advances in iPSC technology and highlight key iPSC-based studies of sporadic ALS. We further discuss emerging examples of iPSC-informed therapeutic strategies and outline the challenges associated with translating iPSC-derived mechanistic insights and pharmacological findings into successful clinical therapies. Full article

We investigate the oscillatory behavior of a first-order linear difference equation with several advanced arguments. New sufficient conditions for oscillation are established, and we show, through carefully constructed counterexamples, that many well-known oscillation criteria for equations with a single advanced argument fail to generalize to the several-argument setting, even when each advanced argument is increasing. Several illustrative examples are also provided to demonstrate the sharpness and practical effectiveness of the obtained conditions and to highlight their clear improvements over all existing results in the literature. Full article

The evolving tumor microenvironment (TME) plays a critical role in breast cancer tumorigenesis, growth, and metastatic potential. This study focuses on two key components of the TME: tumor-associated neutrophils (TANs) and the desmoplastic reaction (DR). We will analyze their multifaceted functions, emphasizing the significant mutual relationships among them, which dramatically affect disease outcomes and the effectiveness of treatments. TANs can either suppress or promote tumors, demonstrating notable functional flexibility in response to signals from their immediate environment. Concurrently, the proliferation of myofibroblasts and the extensive deposition of extracellular matrix (ECM), which characterize the DR, substantially alter the tumor’s physical properties, increasing its stiffness. This increased stiffness significantly obstructs immune system cells from accessing the tumor, ultimately limiting the effectiveness of therapies and contributing to a more clinically aggressive tumor behavior. A comprehensive understanding of the interactions among TANs, the desmoplastic stroma, and other elements of the TME is critical for developing new predictive biomarkers and establishing more effective targeted therapies. Full article

In a three-year study, we investigated the efficacy of mating disruption (MD) on the spongy moth, Lymantria dispar L. in a forest complex in Slovenia. We included two treatments in the experiment: a negative control and a MD-treated area, where we used an MD product formulated as a biodegradable gel (water based, biodegradable). We applied the gel to the trunks of the forest trees (33.3 g active ingredient/ha) once per season, specifically on 4th August 2022, 28th June 2023, and 24th June 2024. To evaluate the method’s performance, pheromone traps were utilized in both treatments. The data indicate consistent effectiveness throughout the three-year period, characterized by the minimal male captures observed in the MD treatment areas after the gel was applied. The first moths were captured in the traps at DD (Degree-Day) values ranging from 661.7 to 773.3 and continued to be captured up to DD values between 1576.1 and 1642.8. Following the application of the MD, the population in the MD treatment was reduced by 100% in the first year. In the second year, the reduction was 96.33%, while in the third year of the experiment, the number of captured moths in the MD treatment was 99.20% lower compared to the control. Considering the overall data, the method disrupted Lymantria dispar male orientation effectively. Moreover, we also feel that these results show the most promise for using this method in urban and suburban areas, where L. dispar larvae can cause allergies in humans and animals and where the use of insecticides is reduced. Full article

Machine learning inference is increasingly deployed on shared and cloud infrastructures, where both user inputs and model parameters are highly sensitive. Confidential computing promises to protect these assets using Trusted Execution Environments (TEEs), yet existing TEE-based inference systems remain fundamentally constrained: they rely almost exclusively on low-level, memory-unsafe languages to enforce confinement, sacrificing developer productivity, portability, and access to modern ML ecosystems. At the same time, mainstream high-level runtimes, such as Python, are widely considered incompatible with enclave execution due to their large memory footprints and unsafe model-loading mechanisms that permit arbitrary code execution. To bridge this gap, we present the first Python-based ML inference system that executes entirely inside Intel SGX enclaves while safely supporting untrusted third-party models. Our design enforces standardized, declarative model representations (ONNX), eliminating deserialization-time code execution and confining model behavior through interpreter-mediated execution. The entire inference pipeline (including model loading, execution, and I/O) remains enclave-resident, with cryptographic protection and integrity verification throughout. Our experimental results show that Python incurs modest overheads for small models (≈$17\%$) and outperforms a low-level baseline on larger workloads (97% vs. 265% overhead), demonstrating that enclave-resident high-level runtimes can achieve competitive performances. Overall, our findings indicate that Python-based TEE inference is practical and secure, enabling the deployment of untrusted models with strong confidentiality and integrity guarantees while maintaining developer productivity and ecosystem advantages. Full article

We present a unified description of dense matter and neutron star structure based on simple but physically motivated models. Starting from the thermodynamics of degenerate Fermi gases, we construct an equation of state for cold, catalyzed matter by combining relativistic fermion statistics with the liquid drop model of nuclear binding. The internal stratification of matter in the outer crust is described by the $\beta$-equilibrium, neutron drip and a gradual transition to supranuclear matter. Short-range repulsive interactions inspired by Quantum Hadrodynamics are incorporated at high densities in order to ensure stability and causality. The resulting equation of state is used as input in the Tolman–Oppenheimer–Volkoff equations, yielding self-consistent neutron star models. We compute macroscopic stellar properties including the mass–radius relation, compactness and surface redshift that can be compared with recent observational data. Despite the simplicity of the underlying microphysics, the model produces neutron star masses and radii compatible with current observational constraints from X-ray timing and gravitational-wave measurements. This work demonstrates that physically transparent models can capture the essential features of neutron star structure and provide valuable insight into the connection between dense-matter physics and astrophysical observables; they can also be used as easy-to-handle models to test the impact of more complicated phenomena and variations in neutron stars. Full article

Background/Objectives: Tenosynovial giant cell tumor (TGCT), formerly known as pigmented villonodular tenosynovitis (PVNS), is a rare, benign, inflammatory mesenchymal neoplasm originating from the synovium of joints, bursae, or tendon sheaths. Although TGCT can affect any joint, the knee is the most commonly involved site, particularly in cases of diffuse-type TGCT. Bifocal or multifocal involvement is exceedingly uncommon. Methods: Herein, we present a case of localized TGCT with bilateral knee involvement in a 48-year-old female. Results: The patient underwent open arthrotomy with marginal excision of the localized lesions in both knees. Histology and immunohistochemistry staining conformed the diagnosis. At the five-year follow-up, the patient remains asymptomatic and free of recurrence. Conclusions: Given the rarity of bilateral TGCT, clinicians should maintain a high index of suspicion when evaluating patients presenting with bilateral knee pain and swelling and include TGCT in the differential diagnosis. To our knowledge, this represents the fifteenth reported case of bilateral knee TGCT in the literature. Full article