Search Results (13,351)

Malignant pericardial effusion (MPE) is a life-threatening condition in patients with cancer, with common recurrences after simple pericardiocentesis. Consequently, the intrapericardial instillation of sclerosing or cytotoxic agents has been explored, with limited evidence from small studies with different methodologies. We undertook an observational, retrospective, single-centre study, including all patients diagnosed with a solid neoplasm and clinically significant and/or recurrent, cytology-confirmed MPE, treated with Intrapericardial Instillation of Cisplatin (IPIC), between 2009 and 2022. Patients with hematological malignancies were excluded. The procedure followed a multidisciplinary approach and a standardized protocol. Variables collected included baseline patient characteristics, neoplasm details, MPE impact, adverse events (AEs) from procedures (pericardiocentesis and IPIC) and outcomes (time to MPE recurrence and survival). This study adhered to the STROBE guidelines. A total of 41 patients were included, 51% female, with a median age of 61 (51–69) years. Non-small cell lung cancer (NSCLC) was the predominant primary tumour (78%) and in 44% of the cohort, MPE was identified at cancer diagnosis. Most patients (90.2%) presented symptoms related to MPE at diagnosis, and 88% had cardiac tamponade on echocardiography. IPIC was administered a median of four times. IPIC-related AEs occurred in 10 patients (24.4%), with transient atrial fibrillation (AF) being the most frequent one. Two patients (4.9%) experienced MPE recurrence within 30 days after IPIC. The median survival time from MPE diagnosis was 161 days (5.4 months; IQR 73–455 days). IPIC appears to be a feasible, effective and safe option for reducing the risk of MPE recurrence, mainly in NSCLC. Full article

Sugars are key metabolites influencing the flavor and quality of kiwifruit, with their accumulation in fruit relying on sugar transporters. Recently identified sugar transporters known as SWEETs play significant roles in modulating plant growth, development, and fruit ripening. However, the characteristics of SWEET genes in Actinidia eriantha remain poorly understood. In this study, a total of 26 AeSWEET genes were identified across 17 chromosomes. These genes encoded proteins ranging from 198 to 305 amino acids in length and contained 5 to 7 transmembrane helices. Both interspecific and intraspecific phylogenetic trees categorized AeSWEET proteins into four distinct clades. The motif and domain structures were conserved within each clade, although variations were observed in exon-intron organizations. One tandem and fourteen segmental duplication events were identified as primary drivers of the AeSWEET family expansion. Comparative syntenic mapping showed a closer homology of the AeSWEET family with that of dicotyledons compared to monocotyledons. Promoter cis-element analysis indicated the potential responses of AeSWEET genes to five phytohormones and seven environmental stressors. Quantitative real-time PCR analysis revealed tissue-specific expression profiles of AeSWEET genes, with two AeSWEET11 genes (AeSWEET11a and AeSWEET11b) showing significantly higher expression levels in fruit tissues. Their expressions were positively correlated with sucrose, fructose, and glucose contents throughout fruit development and ripening. Transient transformation tests in tobacco leaves verified the predominant localization of AeSWEET11a and AeSWEET11b to the plasma membrane. Functional assays in yeast mutants revealed that AeSWEET11a and AeSWEET11b both possessed sucrose and hexose transport activities. These findings highlight the potential of targeting AeSWEET11a and AeSWEET11b to enhance sugar accumulation in the fruit of A. eriantha, thereby providing a foundation for improving the flavor profile of commercial cultivars. Full article

Objective: This study conducted a comprehensive analysis of molecular transmission networks and pretreatment drug resistance (PDR) in newly diagnosed HIV-1 infections in Taizhou, China. Methods: From 2021 to 2023, we collected 1126 plasma samples from newly diagnosed HIV patients in Taizhou. The HIV pol gene was amplified, and the obtained sequence was used to construct a maximum likelihood (ML) phylogenetic tree and molecular transmission network. PDR-related mutations were analyzed based on the Stanford University HIV Resistance Database. We conducted genotyping analysis and analysis of factors related to the larger clusters (≥10). Results: We successfully amplified and sequenced the pol region from 937 (83.2%, 937/1126) treatment-naïve HIV-1 patients, each with comprehensive epidemiological documentation. Phylogenetic characterization revealed significant subtype heterogeneity, with CRF07_BC (42.1%, 395/937), CRF01_AE (27.6%, 259/937) and CRF08_BC (22.1%, 209/937) being the most prevalent. Notably, 11.4% of the sequenced population (107/937) presented detectable PDR mutations. Univariate analysis revealed that larger clusters (≥10) are more inclined to be aged ≥60, divorced or widowed, have high or technical secondary school education, and have sexual contact with homosexuality. Multivariate analysis revealed that age ≥60 years and not having a PDR mutation (p < 0.05) were factors associated with larger clusters (≥10). Conclusions: Molecular transmission networks suggest that CRF08_BC is spreading rapidly among the older male population. Consequently, targeted interventions aimed at this population are crucial for halting the ongoing rapid dissemination of this subtype. Full article

Intrusion Detection Systems (IDS) play a vital role in safeguarding networks, yet their effectiveness is often challenged, as cyberattacks evolve in new and unexpected ways. Machine learning models, although very powerful, usually perform well only on data that closely resembles what they were trained on. When faced with unfamiliar traffic, they often misclassify. In this work, we examine this generalization gap by training IDS models on one Denial-of-Service (DoS) variant, DoS Hulk, and testing them against other variants such as Goldeneye, Slowloris, and Slowhttptest. Our approach combines careful preprocessing, dimensionality reduction with Principal Component Analysis (PCA), and model training using Random Forests and Deep Neural Networks. To better understand model behavior, we tuned decision thresholds beyond the default 0.5 and found that small adjustments can significantly affect results. We also applied Shapley Additive Explanations (SHAP) to shed light on which features the models rely on, revealing a tendency to focus on fixed components that do not generalize well. Finally, using Uniform Manifold Approximation and Projection (UMAP), we visualized feature distributions and observed overlaps between training and testing datasets, but these did not translate into improved detection performance. Our findings highlight an important lesson: visual or apparent similarity between datasets does not guarantee generalization, and building robust IDS requires exposure to diverse attack patterns during training. Full article

Background: Older adults are at elevated risk of falls, especially when prescribed AEDs (AEDs) for neuropathic pain. The sedative and neuropsychiatric effects of these agents contribute significantly to fall-related morbidity. However, existing studies often lack stratification by age and dose. Objective: To systematically evaluate the incidence and drug-specific risk of falls and fall-related adverse events (AEs) in older adults prescribed AEDs for neuropathic pain. Methods: A systematic search was performed across PubMed, Scopus, CINAHL, ScienceDirect, and Cochrane Library databases up to May 2025. Studies were selected using PICOS criteria and included RCTs and controlled cohort studies reporting on AED-related AEs among participants aged ≥60 years. The methodological quality was assessed using RoB 2, ROBINS-I, and GRADE frameworks. Meta-analyses were performed using logit event rates and fixed-effects modeling via Comprehensive Meta-Analysis v3.7. Publication bias was evaluated using Begg’s and Egger’s tests. Results: Twenty-three studies met the inclusion criteria. The pooled logit event rate for falls was −1.693 (95% CI: −1.993 to −1.393), corresponding to a 15.5% incidence. Gabapentin showed the lowest fall risk (~10%), while pregabalin and carbamazepine were associated with higher rates of dizziness (up to 21.6%), sedation (~15.5%), and ataxia (~17.8%). Heterogeneity was low (I² = 0–22.3%) across outcomes. Conclusions: AEDs carry a clinically significant fall risk in older adults, with dose-dependent patterns. Gabapentin may present a safer profile, while pregabalin and carbamazepine warrant cautious use and monitoring. These findings inform individualized prescribing and fall prevention strategies in geriatric neuropathic pain management. Full article

The strong coupling between the ship’s sway and yaw motion increases the complexity of identifying hydrodynamic derivatives in mathematical models and reduces accuracy. To solve this problem, this paper proposes an identification method Alpha Evolution Multi-output Support Vector Regression (AE-MSVR) based on MSVR combined with AE. This method approaches the yaw and sway motion equations as a multi-input and multi-output (MIMO) problem, utilizing MSVR for modeling and optimizing hyperparameters with AE. It reduces parameter drift by restructuring the regression model’s input–output. Identification data is obtained via zigzag test simulation. The AE-MSVR method successfully identifies linear and nonlinear hydrodynamic derivatives in the 3 degree of freedom (DOF) Abkowitz model. Using clean simulation data, the results show promising agreement with experimental values from planar motion mechanism (PMM) tests and achieve improved accuracy compared with the standard SVR identification method. To assess robustness, simulated noise is introduced at different levels; maneuvering characteristics are evaluated using turning circle tests. Results demonstrate that AE-MSVR achieves promising accuracy in identifying ship hydrodynamic derivatives and shows encouraging robustness against noise. The method provides potential support for ship motion prediction and maneuverability forecasting. Full article

This study reports on the synthesis, structural characterization and gas sorption studies of a homometallic 2D Cd²⁺ MOF and two heterometallic 3D Cd²⁺/Ca²⁺ and Cd²⁺/Sr²⁺ -MOFs based on the angular tetracarboxylic ligand 3,3′,4,4′-sulfonyltetracarboxylic acid (H₄STBA). The homometallic 2D Cd²⁺ MOF with the formula [NH₂(CH₃)₂]⁺₂[Cd(STBA)]²⁻_n·nDMF·1.5nH₂O—(1)_n·nDMF·1.5nH₂O was synthesized from the reaction of CdCl₂·H₂O and 3,3′,4,4′-diphthalic sulfonyl dianhydride (3,3′,4,4′-DPSDA) with stoichiometric ratio of 1:1.3 in DMF/H₂O (5/2 mL) at 100 °C. The two heterometallic Cd²⁺/Ca²⁺ and Cd²⁺/Sr²⁺ compounds were prepared from analogous reactions to this afforded (1)_n·nDMF·1.5nH₂O with the difference that the reaction mixture also contained AE(NO₃)₂ (AE²⁺ = Ca²⁺ or Sr²⁺) and, in particular, from the reaction of AE(NO₃)₂, CdCl₂·H₂O and 3,3′,4,4′-DPSDA with stoichiometric ratio 1:1.1:1.4 in DMF/H₂O (5/2 mL) at 100 °C. Notably, compounds [CdCa(STBA)(H₂O)₂]_n·0.5nDMF—(2)_n·0.5nDMF and [CdSr(STBA)(H₂O)₂]_n·0.5nDMF—(3)_n·0.5nDMF are the first heterometallic compounds Mⁿ⁺/AE²⁺ (M = any metal ion) reported containing ligand H₄STBA. The structure of (1)_n·nDMF·1.5nH₂O comprises a 2D network based on helical 1D chain secondary building unit (SBU) [Cd²⁺(STBA)⁴⁻)]²⁻. The 2D sheets are linked through hydrogen bonding interactions, giving rise to a pseudo-3D structure. On the other hand, compounds (2)_n·1.5nH₂O and (3)_n·1.5nH₂O display 3D microporous structures consisting of a helical 1D chain SBU [Cd²⁺AE²⁺(STBA)⁴⁻)]. All three compounds contain rhombic channels along c axes. The three MOFs exhibit an appreciable thermal stability, up to 350–400 °C. Gas sorption measurements on activated materials (2)_n and (3)_n revealed moderate BET surface areas of 370 m²/g and 343 m²/g, respectively, along with CO₂ uptake capacity of 2.58 mmol/g at 273 K. Full article

The objective of this study was to evaluate the antiviral activity of glucosyl hesperidin (GH), a water-soluble derivative of hesperidin with known antioxidant and anti-inflammatory properties, in order to explore its potential applications. Antiviral activity was assessed using feline calicivirus (FCV), a surrogate model for human norovirus, a major foodborne pathogen. Cytotoxicity testing in Crandell–Rees feline kidney (CRFK) cells demonstrated that GH exhibited high biocompatibility, maintaining 100% cell viability at concentrations up to 8000 μM. Antiviral efficacy assays revealed that GH inhibited FCV replication in a concentration-dependent manner across the range of 250~8000 μM, with a half-maximal inhibitory concentration (IC₅₀) of 3281 μM. Complete viral inhibition, however, was not achieved at the maximum concentration tested. In conclusion, GH was shown to inhibit FCV while maintaining low cytotoxicity, indicating its potential as a natural, water-soluble candidate for the suppression of norovirus. Full article

Background: Febrile neutropenia (FN) is a common and potentially life-threatening complication in pediatric oncology. Rapid initiation of empiric antibiotics is critical to improving prognosis. This study evaluated the impact of simple changes to a standard operating procedure (SOP) for FN treatment on the time-to-antibiotic (TTA) in pediatric cancer patients, as well as potential clinical effects. Methods: In this retrospective, single-center, cohort study, children with cancer presenting with FN at the emergency room (pedER) or oncology outpatient department (OD) were included over two one-year periods—before and after SOP adaption. The revised SOP defined a target TTA of ≤30 min. The primary endpoint was to compare median TTA and the proportion of FN episodes meeting target TTA. Secondary endpoints comprised adverse events (AEs) (e.g., ICU admission, need for respiratory or circulatory support, sepsis criteria). Results: After SOP adaption, 32.9% of episodes met target TTA, up from 5.9% before. Median TTA was significantly reduced (44 min vs. 93 min). The improvement persisted during the study period. AE rates showed no significant change. Conclusions: Simple procedural adjustments may significantly improve quality indicators of care, e.g., reducing TTA in pediatric FN patients. These adjustments may be transferable to other pediatric oncology settings. Full article

With the rapid development of cybersecurity technologies, cybersecurity testing has played an increasingly critical role in scientific research, new technology validation, system performance evaluation, and talent development. A central challenge in this domain lies in efficiently and rapidly constructing testing environments while ensuring the reliability and reproducibility of test results. To address this issue, this paper proposes an integrated evaluation method specifically designed for cybersecurity testing, combining anomaly detection and predictive analysis techniques. The method first employs an autoencoder (AE) to perform dimensionality reduction on the raw data collected from a testbed environment, followed by anomaly detection using the Isolation Forest (IF) algorithm. To assess the impact of cyberattacks on the stability of the testbed system, the steady-state data of the environment was treated as the ideal reference. The degree of disruption was then quantified by calculating the Euclidean distance between the dimensionally reduced experimental data and the reference state. Finally, a specific case study was conducted to validate the feasibility and effectiveness of the proposed method, and a percentage-based scoring mechanism was introduced to quantitatively evaluate the security level of the system. Full article

As one of the world’s most widely used packaging materials, paper obtains its properties from its major component: wood. Variations in the species of wood result in variations in the paper’s mechanical properties. The pulp and paper production industry is known to be a polluting industry and a consumer of a large amount of energy but remains an essential heavy industry globally. Paper production, based largely on the kraft process, is mainly intended for the food packaging sector and, thus, is associated with contamination risks. The lack of standardized regulations and the different analytical techniques used make information on the subject complex, particularly for inorganic elements where little information is available in the literature. Most research in this field is based on sample preparation using mineralization via acid digestion to obtain a liquid and homogeneous matrix, mainly with a HNO₃/H₂O₂ mixture. The most commonly used techniques are Atomic Absorption Spectrometry (AAS), Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-AES), and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), each with its advantages and disadvantages, which complicates the use of these tech-niques for routine analyses on an industrial site. In the same field of inorganic compound analysis, Microwave Plasma Atomic Emission Spectrometry (MP-AES) has become a real alternative to techniques such as AAS or ICP-AES. This technique has been used in several studies in the food and environmental fields. This publication aims to examine, for the first time, the state of the art regarding the analysis of inorganic elements in food packaging and different matrices using MP-AES. The entire manufacturing process is studied to identify possible sources of inorganic contaminants. Various analytical techniques used in the field are also presented, as well as research conducted with MP-AES to highlight the potential benefits of this technique in the field. Full article

In recent years, there has been an increase in the frequency of severe weather events (like hurricanes). These events are responsible for most power outages in power distribution systems (PDSs). Particularly susceptible to storms are overhead PDSs. In this study, the dynamic Bayesian network (DBN)-based failure model was developed for different hurricane scenarios to predict the line failure of overhead lines. Based on the outcomes of the DBN model, a service restoration model was formulated to maximize restored loads and minimize power losses using Particle Swarm Optimization (PSO)-based distributed generation (DG) integration and system reconfiguration. Three different case studies based on the IEEE 33 bus system were conducted. The overhead line failure prediction and service restoration model findings were further used to calculate resilience metrics. With reconfiguration the load restored from 90.3% to 100% for Case 1 and from 34.994% to 80.35% for Case 2. However, for Case 3, reconfiguration alone was not sufficient to show any improvement in performance. On the other hand, DG integration successfully restored load to 100% in all three cases. These results demonstrated that the combined DBN-based failure modeling and PSO-driven optimal restoration strategy under hurricane-induced disruptions can effectively strengthen system resilience. Full article

Background/Objectives: Human epidermal growth factor receptor 2 (HER2) inhibitors have markedly improved outcomes in patients with HER2-positive breast cancer. Clinical treatment often involves the sequential or combined use of multiple HER2 inhibitors, making it essential to clarify their distinct adverse event (AE) profiles. However, AE trends remain insufficiently understood. This study aimed to comprehensively analyze characteristic AEs associated with HER2 inhibitors. Methods: Using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS, January 2004–September 2024), we conducted disproportionality analyses of AEs associated with HER2 inhibitors approved for breast cancer. Based on the natural logarithm of the reporting odds ratio (lnROR), hierarchical cluster analysis and principal component analysis (PCA) were performed. Results: Disproportionality analysis treating HER2 inhibitors as a single group identified several signals, with hair disorder (ROR 39.93 [95% CI: 37.68–42.32]) as a representative example. Hierarchical clustering showed that monoclonal antibodies (mAbs) and tyrosine kinase inhibitors (TKIs) diverged early in the dendrogram, and clusters broadly corresponded to pharmacological classes. The cluster of hair-related AEs closely corresponded to mAbs. PCA indicated that the first component reflected AE occurrence risk (R² = 0.655, p < 0.0001), the second component distinguished mAbs from TKIs (tucatinib: r = 0.667; trastuzumab: r = −0.567), and the third component separated molecular targeted agents from antibody–drug conjugates (neratinib: r = 0.521; T-DXd: r = −0.440). Conclusions: FAERS-based analyses enabled visualization of the distinct AE profiles of HER2 inhibitors. These findings may support safe drug selection, risk stratification, and improved AE management strategies. Full article

Autism spectrum disorder (ASD) and Fragile X syndrome (FXS) are neurodevelopmental disorders marked by deficits in communication and social interaction, often accompanied by anxiety, seizures, and intellectual disability. FXS, the most common monogenic cause of ASD, results from silencing of the FMR1 gene and consequent loss of FMRP, a regulator of synaptic protein synthesis. Disruptions in cyclic nucleotide (cAMP and cGMP) signaling underlie both ASD and FXS contributing to impaired neurodevelopment, synaptic plasticity, learning, and memory. Notably, reduced cAMP levels have been observed in platelets, lymphoblastoid cell lines and neural cells from FXS patients as well as Fmr1 KO and dfmr1 Drosophila models, linking FMRP deficiency to impaired cAMP regulation. Phosphodiesterase (PDE) inhibitors, which prevent the breakdown of cAMP and cGMP, have emerged as promising therapeutic candidates due to their ability to modulate neuronal signaling. Several PDE isoforms—including PDE2A, PDE4D, and PDE10A—have been implicated in ASD, and FXS, as they regulate pathways involved in synaptic plasticity, cognition, and social behavior. Preclinical and clinical studies show that PDE inhibition modulates neuroplasticity, neurogenesis, and neuroinflammation, thereby ameliorating autism-related behaviors. BPN14770 (a PDE4 inhibitor) has shown promising efficacy in FXS patients while cilostazol, pentoxifylline, resveratrol, and luteolin have showed improvements in children with ASD. However, challenges such as isoform-specific targeting, optimal therapeutic window, and timing of intervention remain. Collectively, these findings highlight PDE inhibition as a novel therapeutic avenue with the potential to restore cognitive and socio-behavioral functions in ASD and FXS, for which effective targeted treatments remain unavailable. Full article

Urban water distribution networks (WDNs) are increasingly vulnerable to diverse disruptions, including pipe leaks/bursts and cyber–physical failures. A critical step in a resilience-based approach against these disruptions is the rapid and reliable identification of failures and their types for the timely implementation of emergency or recovery actions. This study proposes a framework for sensor placement and multiple failure type classification in WDNs. It applies a wrapper-based feature selection (recursive feature elimination) with Random Forest (RF–RFE) to find the best sensor locations and employs an Autoencoder–Random Forest (AE–RF) framework for failure type identification. The framework was tested on the C-town WDN using the failure type scenarios of pipe leakage, cyberattacks, and physical attacks, which were generated using EPANET-CPA and WNTR models. The results showed a higher performance of the framework for single failure events, with accuracy of 0.99 for leakage, 0.98 for cyberattacks, and 0.95 for physical attacks, while the performance for multiple failure classification was lower, but still acceptable, with a performance accuracy of 0.90. The reduced performance was attributed to the model’s difficulty in distinguishing failure types when they produced hydraulically similar consequences. The proposed framework combining sensor placement and multiple failure identification will contribute to advance the existing data-driven approaches and to strengthen urban WDN resilience to conventional and cyber–physical disruptions. Full article