Search Results (2,227)

Acute myeloid leukemia (AML) is an aggressive hematologic malignancy characterized by impaired differentiation and accumulation of immature myeloid cells. Aurora kinases and their regulatory genes play key roles in mitotic progression and may contribute to leukemogenesis. This study aimed to evaluate the expression and promoter methylation status of AURKA, AURKB, and AURKC and their regulatory genes, AURKAIP1, E2F1, and E2F4 in AML. Peripheral blood samples from 83 AML patients and 28 age- and sex-matched healthy controls were analyzed using MIQE-compliant RT-qPCR for gene expression and MSRE-qPCR for promoter methylation. Diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. Expression levels of AURKA, AURKB, AURKC, and E2F1 were significantly increased in AML patients (p < 0.001), whereas AURKAIP1 expression was significantly reduced (p = 0.001), and E2F4 showed no significant difference. Promoter methylation analysis revealed significantly increased AURKAIP1 methylation in AML (p < 0.001), decreased E2F4 methylation (p = 0.023), and no significant change in E2F1. ROC analysis demonstrated strong diagnostic performance, with AURKB showing the highest accuracy (AUC = 0.95), while a combined biomarker panel achieved an AUC of 0.96. Aurora kinase–related genes are dysregulated in AML and may serve as preliminary peripheral biomarker candidates. However, further validation in independent cohorts and more refined cellular models is required before clinical application. Full article

Research on soft skills in developing countries remains limited, and much of what we think we know comes from studies in very different educational systems. This paper uses data from 1006 Grade 9 students in Thailand, collected by the Equitable Education Fund (EEF), to examine whether gender, school type, and regional location are reflected across eight domains of soft-skill development. We combine simple descriptive comparisons with regression models and propensity score matching, mainly to see whether the broad patterns stay the same when the data are approached in different ways. The results challenge what many policy discussions anticipate. Gender differences are small and often disappear once controls are added. By contrast, the gaps linked to school context and region are substantial and persistent across analytical approaches. Students in opportunity-expansion schools record lower scores in several domains, and children in the Northeastern region show even wider shortfalls. These patterns are consistent across methods and substantially larger than any associations with gender. The analysis underscores that institutional conditions, particularly in less advantaged regions, play a larger role in shaping soft skills than gender-targeted initiatives. Full article

Urban ecological recreation space (UERS), as a crucial component of urban blue–green infrastructure, plays a pivotal role in supporting daily recreational activities and enhancing urban ecological resilience. However, existing equity studies often focus on supply–demand matching outcomes while neglecting the structural allocation of green space provision. Against this backdrop, this study constructs a dual-layer analytical framework of “structural supply–supply–demand matching” and introduces a quality factor to improve the Gaussian two-step floating catchment area method (G2SFCA). Focusing on Urumqi as an empirical case, the accessibility and equity of its UERS are analyzed. The results indicate: 1. The accessibility of UERS exhibits a “core–periphery” differentiation, with the old urban area demonstrating higher accessibility levels in terms of structural supply. However, due to the competitive effects of high population density, its accessibility advantage in the supply–demand matching layer is significantly diminished. 2. Population competition amplifies spatial imbalances, resulting in significantly higher inequality at the supply–demand matching layer than at the structural supply layer. 3. After considering the quality factors of UERS, its fairness has improved, which is more pronounced in the supply–demand matching layer. Optimizing the quality of UERS in high-density built-up areas contributes to the enhancement of fairness. This study emphasizes that UERS accessibility should be understood as a coupled outcome of structural supply and competitive redistribution. The proposed dual-layer framework provides a more comprehensive basis for diagnosing spatial inequalities and formulating differentiated blue–green infrastructure planning strategies. Full article

Second harmonic (SH) radiation can only be generated in non-centrosymmetric bulk crystals under electric dipole approximation. Nonlinear thin films made from bulk crystals are technologically challenging because of complex and high-temperature fabrication processes. In this work, heterostructures made of two distinct amorphous materials, namely SiO₂ and TiO₂, were prepared through plasma-enhanced atomic layer deposition (PEALD) with deposition temperature of 100 °C. By using the uniaxial dispersion model, we characterized the form birefringence of the deposited films, which can play a crucial role for the phase-matching condition in nonlinear waveguides or other nonlinear optical applications. By applying a fringe-based technique, we determined the largest diagonal component of the effective bulk second-order susceptibility, ${\chi }_{zzz}^{\left(2\right)}$ = 1.30 ± 0.13 pm/V, at a wavelength of 1032 nm. Noteworthy, we observed strong SHG signals from two-component nanolaminates, which are several orders of magnitude larger than those from single layers. The SHG signals from our samples only require the broken inversion symmetry at the interface. Here, optical properties of nanocomposites can be precisely engineered using the promising PEALD technology. Full article

Evidence from observational studies plays a central role in shaping public policy in health, education, and financial regulation, where randomized experiments are rarely feasible. Propensity score matching (PSM) is a widely used method to approximate fair comparisons between treatment and control groups. Incorporating machine learning into the estimation of propensity scores can strengthen prediction and enhance the credibility of findings. However, stronger predictive models create a “predictability paradox”. As predictive accuracy improves, estimated propensity scores for treated and control units become more distinct when treatment assignment is strongly predictable from observed covariates, revealing limited overlap between groups. In the limit, near-perfect prediction produces near-complete separation between groups, rendering traditional matching infeasible and confining inference to a narrow subset of units near the boundary of the propensity score distribution, a setting analogous to a regression discontinuity design (RDD). Researchers thus face perverse incentives to use weaker models for statistically significant but spurious results. These dynamics jeopardize the reliability of evidence for policy. To safeguard decision-making, we propose a simple reform: require that studies using PSM disclose model error rates, including false positive and false negative rates, along with information on overlap and effective sample size. Full article

Systemic autoimmunity plays an important role in pathogenesis of neurodegenerative diseases. The objective of our study was to explore the seroprevalence of naturally occurring autoantibodies (Aabs) targeting a panel of 14 antigens broadly involved in neurodegenerative diseases such as Alzheimer’s Disease, Parkinson’s Disease, frontotemporal dementia, and vascular dementia. Commonly associated proteins with underlying neuronal pathology of the brain include amyloid-beta (Aβ), tau, alpha-synuclein (α-syn), TDP-43, and FUS. Proteins associated with glial and astrocytic involvement—TREM2 and Chi3Li; proteins related to myelin damage and axonal degeneration—light neurofilaments (NFL), myelin basic protein (MBP); synaptic loss reflected by neurogranin (NRGN), a marker of neuronal injury—neuron specific enolase (NSE); and markers of disturbed calcium homeostasis—VSNL1 and neuroinflammation—MCP-1. Presence and levels of plasma IgG against these antigens were examined using enzyme-linked immunosorbent assay (ELISA) method in patients with dementia, patients with mild cognitive impairment (MCI), and healthy age-matched controls. Aabs against all selected antigens were detected across all groups, including healthy control, with varied seroprevalence levels. For the first time, we report the presence of anti-FUS, anti-TREM2, anti-NRGN, anti-VSNL1, anti-NSE, and anti-MCP1 Aabs. Elevated anti-Chi3Li Aabs in individuals with MCI indicate a disease-associated immune signature linked to early neurodegenerative processes. Overall, these results provide evidence of systemic immune activation accompanying neurodegeneration, underscore the complexity of immune involvement, and highlight the importance of targeting multiple pathological pathways in future immunomodulatory strategies. Full article

Fibromyalgia (FM) is a chronic pain syndrome characterized by central sensitization, in which glutamatergic and purinergic signaling pathways are thought to play critical roles. This study aimed to evaluate the diagnostic potential of serum glutamate ionotropic receptor N-methyl-D-aspartate type subunit 1 (GRIN1), purinergic receptor P2X 1 (P2RX1), and purinergic receptor P2Y 2 (P2RY2) levels in patients with FM. A total of 93 newly diagnosed FM patients and 93 age- and sex-matched healthy controls were included in the study. Serum levels of GRIN1, P2RX1, and P2RY2 were measured using enzyme-linked immunosorbent assay (ELISA). Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic performance of these biomarkers. ROC analysis demonstrated good diagnostic accuracy for all three biomarkers. The area under the curve (AUC) values were 0.817 for GRIN1, 0.778 for P2RX1, and 0.842 for P2RY2 (p < 0.001 for all). At optimal cut-off values, GRIN1, P2RX1, and P2RY2 showed sensitivities of 91.4%, 78.5%, and 92.5%, and specificities of 72.00%, 75.3%, and 80.6%, respectively. Serum GRIN1, P2RX1, and P2RY2 levels exhibit strong diagnostic performance in FM and may serve as promising biomarkers reflecting altered glutamatergic and purinergic signaling in disease pathophysiology. Full article

Background The social, physical, and relational environment plays a particularly key role for people living with chronic illness. The available resources must match the needs and abilities of those individuals. Objectives This study aims to describe how people perceive their environment in relation to managing their chronic illness daily. Methods Ethnography was employed to collect and analyze data. The researcher visited each participant at home three times, making observations and conducting interviews. Results Fifteen people with cardiovascular disease took part in the study. Four themes emerged relating to their environment: self-expression/being listened to; decision-making/action; creating a safe space; and overcoming illness. Conclusions A supportive environment enables individuals to recognize their achievements based on the meaning they attribute to them. Although people adapt to their environment according to their abilities and needs, effective communication between people with chronic diseases and healthcare professionals remains essential. Full article

Long non-coding RNAs (lncRNAs) are key regulators of gene expression and play critical roles in cancer-related signaling networks. Dysregulation of antagonistic lncRNAs may contribute to hepatocarcinogenesis and disease progression. This study investigated the clinical significance and predictive value of two biologically antagonistic lncRNAs, UFC1 and PTENP1, as circulating biomarkers for hepatocellular carcinoma (HCC) in an Egyptian cohort. Expression levels of these lncRNAs were quantified in 100 HCC patients and 100 age- and sex-matched healthy controls. UFC1 was significantly upregulated (~2.9-fold), while PTENP1 was markedly downregulated (~4-fold) in HCC patients, with a strong inverse correlation (r = −0.609, p < 0.001). Both lncRNAs demonstrated higher diagnostic accuracy compared to alpha-fetoprotein (AFP); combining them with AFP further enhanced overall performance. UFC1 expression was increased progressively with advancing fibrosis grade and Barcelona Clinic Liver Cancer (BCLC) stage, while PTENP1 levels diminished with BCLC stage. Logistic regression confirmed UFC1 as an independent risk factor and PTENP1 as a protective factor for HCC. In conclusion, the blood-based UFC1/PTENP1 panel exhibits promising diagnostic accuracy and is associated with disease severity, surpassing AFP. Their fibrosis-associated dysregulation suggests a role in early hepatocarcinogenesis. This antagonistic lncRNA signature represents a potential, non-invasive tool for HCC detection and risk stratification, meriting further clinical validation. Full article

Background/Objectives: Chronic lymphocytic leukemia (CLL) is characterized by genetic and epigenetic alterations. This study aimed to assess the methylation status of E-Cadherin and MMP-9 gene promoters and to explore their relationships with disease pathogenesis and hematological parameters in CLL patients. Methods: A case–control study was conducted with 70 newly diagnosed CLL patients and 70 age- and sex-matched healthy controls. Promoter methylation of E-Cadherin and MMP-9 genes was evaluated using methylation-specific PCR (MSP) and methylation-sensitive restriction enzyme PCR (MSRE-PCR), respectively. Results: The median patient age was 62 years, and 68.5% were males. Binet stage A was the most common stage (57.3%). E-Cadherin promoter methylation was detected in 75.7% of CLL patients and 77.1% of controls (p = 0.91), showing no significant association with disease occurrence; however, it showed a significant correlation with higher lymphocyte counts (p = 0.01). In contrast, MMP-9 promoter methylation was significantly less frequent in CLL cases (70.0%) than in controls (100%, p = 0.001). Unmethylated MMP-9 correlated significantly with female gender (p = 0.02), lower hemoglobin (p = 0.031), reduced platelet counts (p = 0.001), and higher lymphocyte counts (p = 0.035). Conclusions: MMP-9 promoter hypomethylation may play a pathogenic role in CLL and is associated with female gender and cytopenia, whereas E-Cadherin methylation appears to be non-specific. MMP-9 methylation status could therefore serve as a potential biomarker for CLL biology and prognosis. Full article

Visual localization plays a critical role for mobile robots to estimate their position and orientation in GPS-denied environments. However, its efficiency, robustness, and generalization are fundamentally undermined by severe viewpoint changes and dramatic appearance variations, which present persistent challenges for image-based feature representation and pose estimation under real-world conditions. Recently, map-free visual relocalization (MFVR) has emerged as a promising paradigm for lightweight deployment and privacy isolation on edge devices, while how to learn compact and invariant image tokens without relying on structural 3D maps still remains a core problem, particularly in highly dynamic or long-term scenarios. In this paper, we propose the Debiased Multiplex Tokenizer as a novel method (termed as DMT-Loc) for efficient and versatile MFVR to address these issues. Specifically, DMT-Loc is built upon a pretrained vision Mamba encoder and integrates three key modules for relative pose regression: First, Multiplex Interactive Tokenization yields robust image tokens with non-local affinities and cross-domain descriptions. Second, Debiased Anchor Registration facilitates anchor token matching through proximity graph retrieval and autoregressive pointer attribution. Third, Geometry-Informed Pose Regression empowers multi-layer perceptrons with a symmetric swap gating mechanism operating inside each decoupled regression head to support accurate and flexible pose prediction in both pair-wise and multi-view modes. Extensive evaluations across seven public datasets demonstrate that DMT-Loc substantially outperforms existing baselines and ablation variants in diverse indoor and outdoor environments. Full article

Inflammatory-oxidative stress generated by immune cells plays an important role in aging and in age-related neurodegenerative disorders such as Alzheimer’s disease (AD). Triple-transgenic mice for AD (3xTg-AD) are a suitable model for mimicking this disease in an age-dependent manner. We previously showed that peritoneal leukocyte functions and their redox-inflammatory state are altered early in female 3xTg-AD mice, which exhibit premature aging compared to non-transgenic (NTg) animals. However, their characteristics at 9 months of age, when they present an early neuropathological state, and the sex differences are not known. Here, we analyzed several spleen and thymus leukocyte functions (chemotaxis, natural killer activity, and lymphoproliferation in response to mitogens), pro-inflammatory (IL-1B, TNF-alpha) and anti-inflammatory (IL-10) released cytokine concentrations, and redox parameters (glutathione concentrations and glutathione peroxidase, glutathione reductase, and xanthine oxidase activities) in male and female 3xTg-AD mice compared to age-matched controls. We also analyzed the effects of voluntary physical exercise on immune functions. Our results show that 9-month-old male and female 3xTg-AD mice have worse immune functions, redox state, and inflammation than NTg counterparts. Physical exercise improves immune function. Thus, accelerated aging reflected by peripheral immunosenescence and oxidation-inflammation in 3xTg-AD mice precedes hallmark neuropathology, and exercise can slow down AD progression. Full article

Background: As China enters the digital era and actively promotes an active aging strategy, smart wearable devices have become increasingly prevalent among older adults; however, their impact on health inequality remains unclear. This study investigates the association between smart wearable devices and health, as well as health inequality, among Chinese older adults, and further examines the mediating roles of joy of living and social participation. Methods: Data were derived from two waves (2018 and 2020) of the China Longitudinal Aging Social Survey (CLASS), with a final sample of 7098 adults aged 60 and above. A two-way fixed-effects model, propensity score matching–difference-in-differences (PSM-DID) approach, and mediation analysis were employed. Results: Smart wearable devices were significantly positively associated with both health and health inequality among older adults in China. Mediation analysis revealed that joy of living and social participation played an intermediary role. Conclusions: This study provides preliminary evidence that smart wearable devices are associated with health and health inequality among Chinese older adults. Policy efforts should focus on developing more user-friendly devices, promoting digital literacy among older adults, and supporting disadvantaged groups. Furthermore, the mediating effects suggest that fostering joy of living and encouraging active social participation may serve as effective pathways to improve health. Full article

Maritime ship target tracking plays an important role in applications such as maritime patrol and maritime surveillance. However, complex sea conditions, similar target appearances, and long-distance imaging often lead to target identity confusion and unstable trajectories. To address these issues, in this paper, a ship multi-object tracking algorithm, DeepSORT-OCR, that integrates hull number semantic features is proposed. Based on the YOLO detection framework and the DeepSORT tracking architecture, a CBAM-ResNet network is introduced to enhance the representation of ship appearance features. An Inner-SIoU metric is adopted to improve the geometric matching of slender ship targets, while an LSTM-Adaptive Kalman Filter is employed to model the nonlinear motion patterns of ships and improve trajectory prediction stability. In addition, a Hull Number Feature Extraction module is designed in order to recognize ship hull numbers using OCR and match them with a hull number database. The extracted hull number semantic features are dynamically fused with visual appearance features to strengthen identity constraints during target association. The experimental results show that the proposed method achieves an MOTA of 66.53% on the MOT16 dataset, representing an improvement of 5.13% over DeepSORT. On the self-constructed maritime ship dataset, the method achieves an MOTA of 70.89% and an MOTP of 80.84%. Furthermore, on the hull-number subset, the MOTA further increases to 77.18%, an improvement of 7.31% compared with DeepSORT, while the number of ID switches is significantly reduced. In addition, experiments conducted on pure real data, pure synthetic data, and cross-domain evaluation settings demonstrate the stability and strong generalization capability of the proposed algorithm under different data distributions. The proposed method effectively improves the stability and identity consistency of ship multi-object tracking in complex maritime environments. Full article