Search Results (21,906)

Background/Objectives: Routine liver biopsies play an important role in monitoring liver allografts but carry non-negligible risks. This pilot study assesses the feasibility of dynamic long-axial field-of-view (LAFOV) [¹⁸F]FDG PET/CT as a non-invasive alternative to biopsy. Methods: Liver transplant (LTx) recipients meeting the inclusion criteria of ≥10 months post-transplantation and scheduled routine biopsy were prospectively enrolled, along with healthy controls. All participants underwent dynamic LAFOV [¹⁸F]FDG PET/CT, followed by biopsy in LTx recipients, who were stratified by inflammatory severity using the BANFF score. Hepatic kinetic parameters (K1, k2, k3, k4) and SUVmean/SUVmax were compared using Mann–Whitney U tests. Correlations were assessed using Spearman’s rank correlation. A p-value < 0.05 was considered significant. Analyses were performed in RStudio (version 2024.12.10563). Results: Sixteen LTx recipients (mean age 48.6 years; seven female, nine male) and eight healthy controls (mean age 35.4 years; six female, two male) were included. Healthy controls had mean k3 and k4 values of 0.0037 min⁻¹ ± 0.0003 min⁻¹ and 0.0019 min⁻¹ ± 0.0011 min⁻¹, respectively. LTx recipients showed significantly higher k3 and k4 values, both when including and excluding patients with biopsy-confirmed inflammation. Descriptive comparisons between LTx recipients with and without significant inflammation (n = 3) showed no clear differences. Spearman analysis showed no significant correlations between the BANFF score and kinetic parameters. The strongest degree of correlation was found between BANFF score and k3, indicating a moderate positive but non-significant association (k3: rs = 0.396, p = 0.128). Conclusions: Elevated k3 and k4 values in LTx recipients were not explained by allograft inflammation, suggesting altered FDG kinetics post-transplant. These differences may confound [¹⁸F]FDG PET interpretation. Larger studies are needed to assess the clinical applicability of dynamic LAFOV [¹⁸F]FDG PET/CT. Full article

Huber regression serves as a prominent robust alternative to ordinary least squares (OLS), particularly in the presence of heavy-tailed error distributions. While the asymptotic relative efficiency (ARE) of Huber regression is well documented for the standard normal distribution, its worst-case efficiency across the class of all continuous and symmetric error distributions remains an important theoretical question. In this paper, we establish positive lower bounds for the ARE of Huber regression relative to OLS. By strategically selecting the robustification parameter based on the moments or quantiles of the error distribution, we first prove that the ARE is uniformly bounded away from zero across all continuous and symmetric error distributions. This result guarantees a baseline level of efficiency for Huber regression, sharing a similar theoretical spirit with the celebrated lower bound of the Wilcoxon rank estimator. Utilizing the empirical process theory, we further establish that the relative efficiency of Huber regression remains unchanged if the theoretical tuning parameter is replaced by an estimator with a suitable convergence rate. Simulation studies are conducted to examine the performance of Huber regression under the proposed tuning strategies. Full article

This work presents the first systematic development of the inverse scattering transform for matrix nonlinear Schrödinger equations in the case where the discrete spectrum has triple poles, under nonzero boundary conditions at infinity. These systems arise physically as reductions modeling spinor Bose-Einstein condensates with hyperfine spin $F=1$ and find applications in nonlinear optics. A uniformization variable is employed to map the underlying Riemann surface to the complex plane, enabling a complete characterization of the analyticity, symmetries, and asymptotic behaviors of the Jost functions and scattering data. Extending the established framework for simple and double poles, we show that $\mathrm{rank}$$P(x,t,z_n)=3$ requires a third-order zero of $deta\left(z\right)$ at $z=z_n$, while $\mathrm{rank}$$P(x,t,z_n)=2$ necessitates a fourth-order zero—a nontrivial feature absent in lower-order cases. The discrete spectrum for both rank configurations is fully characterized, and the full singular behavior near a triple pole is derived, respecting the quartet symmetry $z_n$, $z_n^{*}$, $v{k}_0^2/z_n$, $v{k}_0^2/z_n^{*}$ imposed by the nonzero boundary conditions. Solving the resulting matrix Riemann-Hilbert problem with triple poles yields the potential reconstruction formula and, in the reflectionless case, explicit expressions for general N-triple-pole soliton solutions, with a detailed example for $N=1$ presented to illustrate the construction. Full article

Background/Objectives: We aimed to identify eating habits associated with hepatic fat fraction (HFF) and assess effect modification by an established genetic variant for fatty liver disease, PNPLA3 rs738409, among 381 general-risk adolescents. Methods: Dietary intake was assessed using the Block Kids Food Frequency Questionnaire and HFF was measured via magnetic resonance imaging (MRI) at age ~16 years. We first characterized naturally occurring dietary patterns using principal component analysis followed by reduced-rank regression with HFF as the response variable to identify a dietary pattern that is both relevant to the population and associated with HFF. Next, we investigated associations of the dietary pattern with HFF using linear regression models that accounted for maternal gestational diabetes, education, and prenatal smoking and child sex, age, Tanner stage, and BMI. Finally, we tested for a dietary pattern and PNPLA3 rs738409 interaction and stratified by genotype if P-interaction < 0.05. Results: The participants were 16.7 ± 1.2 years (range: 12.6–19.6 years). Half were female (50.4%) and 52.0% identified as non-Hispanic White. The dietary pattern of interest was composed of vegetables, fruit, nuts and seeds, oatmeal, sports bars, crackers and sandwiches, and beef, and was inversely associated with HFF (−0.48 [95% CI: −0.81, −0.16]). Stratified analyses revealed the strongest inverse association observed between the diet pattern score and HFF in the high-risk-variant (GG) group (−2.19 [−4.35, −0.03]), followed by the intermediate-risk (CG) group (−0.43 [−0.77, −0.10]), but not the low-risk (CC) group (−0.32 [−0.77, 0.13]). Conclusions: A diet high in vegetables, fruit, nuts and seeds, oatmeal, sports bars, crackers and sandwiches, and beef—potentially capturing an active, on-the-go lifestyle—is associated with lower HFF during adolescence, especially among individuals at genetic risk. Full article

This paper examines several portfolio rules for comparing performance against the Shanghai Composite Index. The investor can use mutual funds or sector-based Exchange-Traded funds (ETFs). Five different approaches are applied for analysis. Two core approaches are discussed in detail and compared to passive investing: The top-N strategy and the sector rotation strategy. The Top-N strategy shifts capital each period into the last period rank-N fund, and the sector rotation strategy ranks funds based on their performance in the preceding investment period, forming three baskets: “Winners”, “Median”, and “Losers”. Extensive statistical tests on more than 300 equity mutual funds are performed for the top-N strategy to evaluate performance persistence using quintile sorts, winner–loser spreads, and transition tests. In contrast, the sector-rotation strategy and a holdings-based replication strategy (constructed from annual reports and sector funds) are implemented as case studies using the ten largest funds. Their performance is evaluated using multiple return and risk metrics. Full article

Background/Objectives: Our study aims to identify potential new MRI features of brain metastases (BMs) that could be further used in overall survival (OS) assessment. Methods: A total of 109 patients with BMs were included. Kaplan–Meier analysis, the log-rank test, and Cox Regression were implemented in the survival analysis. The first ten significant features were incorporated into four distinct machine learning (ML) algorithms to predict six-month survival. Results: Survival analysis revealed that multiple brain lesions and synchronous presentation were associated with a poor prognostic value (HR > 1; p = 0.01, p = 0.02). Other features demonstrated a protective effect on OS including the absence of extracranial lesions (HR < 1, p = 0.04) and the presence of solid enhancement (HR < 1, p < 0.05). In this observational cohort, treatment was associated with longer OS—including surgery, gamma knife radiosurgery, whole brain radiation therapy, and chemotherapy—compared to best supportive care (HR < 1, p < 0.005); these treatment-related hazard ratios are not interpreted causally. The shallow Neural Networks model was the top-performing ML model, achieving an AUC of 0.93 (CI = 0.89–0.97). According to the Shapley Additive Explanations analysis, the solid enhancement type had a positive impact on OS, whereas a higher number of lesions, larger volumes and a cystic morphology were associated with negative outcomes. Conclusions: Our results confirm that including morphological MRI features of BMs in the prediction of OS significantly contributes to the enhancement of ML algorithms’ prediction and discriminatory capacity. Full article

Background and Objectives: Invasive lobular carcinoma (ILC) is a breast cancer subtype with a controversial surgical management due to its diffuse infiltrative growth pattern and increased tendency for multicentricity. This study aimed to compare the effects of breast-conserving surgery (BCS) and mastectomy on long-term overall survival (OS) and progression-free survival (PFS) in patients diagnosed with ILC. Materials and Methods: In this single-center, retrospective, observational study, 255 patients with histopathologically confirmed ILC between 2017 and 2025 were included. Patients who underwent surgical treatment were divided into two groups according to the surgical approach: BCS (n = 94) and mastectomy (n = 141). Survival analyses were performed using the Kaplan–Meier method, and comparisons between groups were assessed with the log-rank test. Factors affecting survival were evaluated using Cox regression analysis. Results: The median age of the patients was 53 years (range, 28–85), and the median follow-up duration was 31.8 months. Of the cases, 76.9% were classic-type ILC and 70.9% had stage I–II disease. The rate of negative surgical margins was 87.6%. No statistically significant differences were observed between the BCS and mastectomy groups in terms of estimated median PFS (87.4 months vs. 86.7 months; p > 0.05) or estimated median OS (87.7 months vs. 115.7 months; p > 0.05). Multivariable analyses demonstrated that the type of surgery was not an independent prognostic factor for survival. Conclusions: This study shows that, with appropriate patient selection and adequate surgical margin control, BCS provides oncologic survival outcomes comparable to mastectomy in ILC. The choice of surgical approach should be individualized based on tumor biology, stage, and multidisciplinary evaluation rather than histological subtype alone. Full article

Metaheuristic algorithms have become indispensable for solving high-dimensional, non-convex, and constrained optimization problems arising in science and engineering. However, no single method can simultaneously provide strong global exploration, accurate local exploitation, and robust performance across diverse problem classes. This paper proposes JADEFLO, a new hybrid nature-inspired metaheuristic that couples Adaptive Differential Evolution with Optional External Archive (JADE) and Frilled Lizard Optimization (FLO) in a two-stage search framework. In the first stage, JADE drives global exploration using p-best mutation, an external archive, and adaptive control of the mutation factor and crossover rate to maintain population diversity. In the second stage, FLO performs intensive local refinement by mimicking the hunting and tree-climbing behaviors of frilled lizards through dedicated exploration and exploitation moves. The resulting algorithm has linear time complexity with respect to the population size, dimensionality, and number of iterations. JADEFLO is evaluated on the IEEE CEC 2022 single-objective benchmark suite (F1–F12) and three constrained engineering design problems (Pressure Vessel, tension/compression spring, and speed reducer), using 30 independent runs and comparisons against more than thirty state-of-the-art metaheuristics, including GA, PSO, DE variants, GWO, WOA, MFO, and FLO. The results show that JADEFLO attains the best overall rank on the CEC functions, delivers faster convergence and higher accuracy on most test cases, and matches or improves the best-known designs with markedly reduced variance. These findings indicate that JADEFLO is a promising general-purpose optimizer and a flexible foundation for future extensions to multi-objective and large-scale optimization. Full article

Cancer ranks as one of the top causes of death worldwide, and the World Health Organisation (WHO) estimates an increase of up to 55% in cases over the next 15 years, reaching 300 million cases worldwide. Current approaches to the treatment of cancer, such as chemotherapy and radiation therapy, have been used with continuous significant advancements. However, these conventional methods have harmful side effects that can last a lifetime. Today, there is growing interest in developing alternative cancer therapies from natural products or complementary medicine. One of the natural sources that has shown promise as an anticancer agent is honey, which has long been applied as a complementary medicine, and its beneficial health effects on various diseases in both animal and human models have been widely studied. Malaysian honey, such as Tualang, pineapple, Gelam, Kelulut, and Acacia, possesses a rich composition of phytochemicals, including polyphenols and flavonoids, which are reported to have promising anticancer properties. Examples of the phytochemicals highlighted in this review are phenolic acid, syringic acid, salicylic acid, p-coumaric acid, gallic acid, benzoic acid, caffeic acid, chrysin and its derivatives, kaempferol, fisetin, catechin, apigenin, quercetin, acacetin, pinocembrin, pinobanksin, hesperetin, naringenin, vitexin, isoorientin, xanthohumol, and galangin. This review highlights the anticancer mechanisms and molecular pathways of the phytochemicals found in Malaysian honey, focusing on their antioxidant effects, induction of mitochondrial-mediated apoptosis, inhibition of angiogenesis and metastasis, and suppression of cancer cell proliferation. The findings of various studies published in the past five years are collated to understand their mechanisms of action. Full article

Compressed air leakages represent a major source of energy waste and financial loss in industrial facilities. However, accurately detecting and quantifying these leaks remains challenging due to the wide variation in the accuracy, cost, usability, and practical applicability of available methods. This paper presents a structured review and evaluation of leakage localization and quantification methods for compressed air systems (CASs), categorized into hardware-, software-, and non-technical-based approaches. Based on expert interviews and a comprehensive literature review, a set of evaluation criteria was defined and applied within a multi-criteria decision analysis (MCDA) framework. The Analytic Hierarchy Process (AHP) was used to derive criteria weights, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed to rank the alternatives separately for localization and quantification tasks. To enhance practical relevance, five expert interviews were conducted with industrial stakeholders from diverse professional backgrounds, including maintenance engineers and energy managers. A questionnaire was also distributed to assess the methods. The results provide illustrative insights into the relative suitability of different methods. Within the scope of this exploratory study, from a practical industrial perspective, the compressor duty cycle method and non-intrusive load monitoring (NILM) appear to be promising approaches to leakage quantification, while ultrasonic detection is preferred for localization. Notably, discrepancies between questionnaire-based rankings and expert interview insights highlight the limitations of purely survey-driven evaluations. The proposed framework supports industrial decision-makers in selecting leakage detection and quantification methods by balancing technical performance, implementation effort, and operational constraints, thereby contributing to reduced energy losses and improved system efficiency. Full article

As nuclear energy expands, nuclear emergency response systems increasingly exhibit strong human–machine–environment (H–M–E) coupling, long-duration operations, and multi-department coordination, in which minor disturbances can be amplified by feedback loops into cascading failures and loss of situational control. To address the inability of conventional static and linear methods to represent dynamic risk evolution and chaotic uncertainty, this study proposes an integrated “risk network–chaotic evolution–synchronization control” framework. Based on 12-year-old on-site comprehensive drill reports from a Chinese nuclear power base, we construct a directed H–M–E risk network in a semi-quantitative, qualitative–quantitative manner and identify critical nodes using a composite betweenness–PageRank risk metric. We further abstract the system into a three-dimensional nonlinear coupled dynamical model; phase portraits, Lyapunov exponents, and bifurcation analysis confirm threshold effects, period-doubling routes, and chaotic attractors, revealing nonlinear amplification under strong coupling. Finally, an adaptive chaotic synchronization controller driven by network coupling strength is designed. Simulations show all strategies suppress chaos and achieve synchronization, while the machine-dominated strategy offers the best speed–energy trade-off for emergency resource allocation. Full article

Mountain forests on the western edge of the Sichuan Basin are challenging to monitor at high resolution because rugged topography, cloud cover, and Landsat-7 SLC-off artifacts create data gaps, while the 2008 Wenchuan earthquake and subsequent restoration further alter vegetation dynamics. We fused Landsat 5/7/8/9 surface reflectance with MODIS MOD13Q1 using an index-then-fusion STARFM framework to reconstruct a continuous 30 m NDVI record for 2000–2024 and quantified forest fraction dynamics using annual forest/non-forest maps, transition analysis, and K-means clustering of pixel-wise NDVI trajectories. To identify dominant controls, we applied a multi-output random forest with spatial block cross-validation and SHAP attribution. The fused NDVI agrees well with MODIS across 100,000 samples (R² = 0.953; RMSE = 0.032), and the regional mean NDVI increased from 0.711 (2000) to 0.774 (2024), showing a post-2008 decline–stagnation–recovery pattern. Forest fraction rose from 48.2% to 72.9%, with accelerated gains after 2010 (+21.4%), and improving trajectories dominated (70.95%), concentrating near the Longmenshan fault zone. The driver model generalized well (micro-mean R² = 0.875), and SHAP ranked elevation (32.6%) and initial forest fraction (32.3%) above temperature and precipitation. These results provide high-resolution evidence of mountain forest change and its primary controls to support terrain-informed ecological management. Full article

To address the challenges of homogenization and unclear functional hierarchy in pet water fountain design, as well as to meet diverse user needs, reduce costs, and improve efficiency, this study undertakes product design based on comprehensive research and analysis of key design elements that fulfill the practical requirements of both humans and pets. Furthermore, to evaluate and optimize the proposed design scheme, an integrated AHP-improved CRITIC-TOPSIS comprehensive design evaluation model is introduced within the framework of multi-criteria decision theory to assess and refine pet water fountain design solutions. The methodology commences with the application of the AHP to construct a multi-level evaluation index system and determine subjective weights for each index. Subsequently, the improved CRITIC method is integrated to calculate the comprehensive weights of each indicator. The TOPSIS method is then employed to rank and optimize the design schemes. Strategies for further improvement are proposed based on key indicators that are assigned higher weights. The results of the simulation verification experiment and sensitivity analysis indicate that the proposed method achieves high accuracy and reliability in the evaluation of pet water fountain designs. This methodology establishes a rigorous evaluation framework that can be extended to other pet product designs. Full article

Objectives: To evaluate extrusion-free survival following glaucoma drainage device (GDD) surgery using EverPatch Plus^® (EPP) and to compare outcomes with conventional scleral patch grafts using propensity score-based survival analysis. Methods: This retrospective case series included 19 eyes that underwent GDD implantation with EPP and 105 control eyes that received conventional scleral patch grafts. To adjust for baseline differences between groups, a propensity score for EPP use was estimated using multivariable logistic regression incorporating age, neovascular glaucoma, prior glaucoma surgery, preoperative intraocular pressure, number of glaucoma medications, quadrant of patch placement, and insertion site. Stabilized inverse probability of treatment weighting was applied. Because follow-up in the EPP group did not exceed 12 months, all survival analyses were performed with administrative censoring at 12 months. Extrusion-free survival was evaluated using Kaplan–Meier analysis and Cox proportional hazards modeling. Results: Within 12 months, patch extrusion occurred in 3 of 19 eyes in the EPP group and in 12 of 105 eyes in the scleral patch graft group. After inverse probability weighting, estimated 12-month extrusion-free survival was 83.5% in the EPP group and 88.4% in the scleral patch graft group, indicating no statistically significant difference between groups (log-rank test, p = 0.498). In an inverse probability-weighted Cox model, EPP use was not significantly associated with extrusion risk (hazard ratio ≈ 1.3; 95% confidence interval ≈ 0.4–4.0). Conclusions: After adjustment for baseline covariates and restriction of follow-up to 12 months, extrusion-free survival following glaucoma drainage device surgery using EPP was comparable to that achieved with conventional scleral patch grafts. Full article

Background and Objectives: Sclerostin or dickkopf-1 (DKK1) inhibits the canonical Wnt/β-catenin signaling pathway, which regulates vascular calcification and may contribute to the development of arterial stiffness. The brachial–ankle pulse wave velocity (baPWV) measures peripheral arterial stiffness (PAS). This study aimed to investigate the correlation between sclerostin and DKK1 levels and PAS in patients with type 2 diabetes mellitus (T2DM). Materials and Methods: Biochemical data and sclerostin and DKK1 levels were analyzed in the fasting blood samples of 125 patients with T2DM. baPWV measurements using the VaSera VS-1000 automatic pulse wave analyzer classified patients with values > 18.0 m/s on either side into the PAS group. Results: Among patients with T2DM, 47 (37.6%) were classified as having PAS. These patients exhibited higher hypertension prevalence (p = 0.002); greater age (p < 0.001); elevated systolic (p < 0.001) and diastolic blood (p = 0.012) pressures; and increased fasting glucose (p = 0.001), glycated hemoglobin (p = 0.008), triglyceride (p = 0.001), blood urea nitrogen (p < 0.001), and creatinine (p = 0.001) levels, urine albumin-to-creatinine ratio (p = 0.039), and C-reactive protein (p = 0.024) and serum sclerostin (p < 0.001) levels, but decreased estimated glomerular filtration rate (p < 0.001). Multivariate logistic regression analysis identified serum sclerostin level (odds ratio, 1.127; 95% confidence interval, 1.058–1.200; p < 0.001) as an independent PAS predictor in patients with T2DM. Serum log-transformed sclerostin levels were positively correlated with left (p = 0.005) and right (p = 0.001) baPWV via Spearman’s rank-order correlation coefficient analysis. Conclusions: Serum sclerostin levels, but not DKK1 levels, are positively correlated with PAS in patients with T2DM. Full article