Search Results (890)

Background and Objectives: Transcatheter heart valve (THV) selection is challenging as self-expanding valves (SEVs) are associated with lower post-procedural mean aortic gradients, while balloon-expandable valves (BEVs) have lower rates of paravalvular leak (PVL) and permanent pacemaker implantation (PPI). We aimed to compare the 30-day and 1-year outcomes following Myval BEV (Meril Life Sciences, Vapi, Gujarat, India) and intra-annular Portico SEV (Abbott, St. Paul, MN, USA) implantation. Materials and Methods: We retrospectively analyzed the data from the all-comer TAVI registry of the University Medical Centre Ljubljana, Slovenia, from October 2017 to August 2023. Safety and efficacy outcomes following Myval BEV and Portico SEV implantation were compared overall and after propensity score matching. Results: Of the total 1152 THVs implanted, 97 patients (8%) received a Myval BEV and 47 (4%) a Portico SEV. After propensity score matching, there were no significant differences between the two patient cohorts regarding 30-day (Myval 0.0% vs. Portico 2.9%, p = 1.000) and 1-year mortality (Myval 0.0% vs. Portico 5.9%, p = 0.492). Likewise, the rates of new PPI, device failure (mean aortic gradient and more than mild PVL), and periprocedural in-hospital complications were comparable between the two groups. Conclusions: In this retrospective analysis of two intra-annular THVs, the Myval BEV was associated with comparable short- and mid-term outcomes as the Portico SEV. Full article

Penile cancer is a rare malignancy, with approximately 2100 cases diagnosed annually in the United States. The 5-year overall survival rate varies significantly depending on the node involvement status, at 79% in node-negative disease versus 51% for patients with inguinal metastasis. Inguinal lymph nodes are involved in micrometastatic disease in up to one out of four patients. Early inguinal lymph node dissection (ILND) has been shown to provide a survival advantage, which is why many patients undergo inguinal lymph node dissection for diagnostic and therapeutic purposes. Unfortunately, ILND is associated with high morbidity rates, which have led to potential overtreatment and decreased quality of life in the penile cancer population. Several advancements have been made to mitigate these challenges, such as dynamic sentinel node dissection, modifications to the technique or surgical templates, the introduction of minimally invasive procedures, and changes to the postoperative pathway. This manuscript examines the evolution in managing the inguinal lymph nodes in penile cancer, its associated complications, and effective strategies for their prevention and management. Full article

Rheumatoid arthritis (RA) is a chronic systemic inflammatory disorder primarily targeting joints, leading to pain, swelling, and stiffness. RA results from the body’s own immune system attacking its own tissues. Currently, there are various treatments available for RA including disease-modifying antirheumatic drugs (DMARDs) and NSAIDs. Leflunomide (LEF) is a USFDA-approved synthetic DMARD which is being widely prescribed for the management of RA; however, it faces several challenges such as prolonged drug elimination, hepatotoxicity, and others. LEF exerts its therapeutic effects by inhibiting dihydroorotate dehydrogenase (DHODH), thereby suppressing pyrimidine synthesis and modulating immune responses. Emerging nanotechnology-based therapies help in encountering the current challenges faced in LEF delivery to RA patients. This review enlists the LEF’s pharmacokinetics, mechanism of action, and clinical efficacy in RA management. A comparative analysis with methotrexate, biologics, and other targeted therapies, highlighting its role in monotherapy and combination regimens and the safety concerns, including hepatotoxicity, gastrointestinal effects, and teratogenicity, is discussed alongside recommended monitoring strategies. Additionally, emerging trends in novel formulations and drug delivery approaches are explored to enhance efficacy and minimize adverse effects. Overall, LEF remains a perfect remedy for RA patients, specifically individuals contraindicated with drugs like methotrexate. The therapeutic applicability of LEF could be enhanced by developing more customized treatments and advanced drug delivery approaches. Full article

Traditional energy conservation policies have primarily relied on economic incentives and informational campaigns. However, recent insights from behavioral and social sciences indicate that subtle behavioral interventions, particularly social nudges, can significantly influence household electricity use. This paper presents a structured review of 23 recent field studies examining how social nudging strategies, such as peer comparison, group identity, and normative messaging, have contributed to measurable reductions in electricity consumption. By analyzing intervention outcomes across different regions and formats, we identify key success factors, limitations, and policy implications. Special attention is given to ethical considerations, fairness in implementation, and potential challenges in sustaining behavior change. This study offers a framework for integrating social nudges into future energy policies, emphasizing their role as low-cost, scalable tools for promoting sustainable energy behavior. Full article

Industrial effluents pose a significant concern because they contain a variety of metals and metalloids that have detrimental effects on the environment. Conventional techniques are widely used in effluent treatment plants (ETPs) to remove metallic pollutants; however, they are less effective, are costly, and generate secondary toxic waste. Mycosorbent would be a sustainable and economical alternative to conventional techniques, as it offers numerous advantages. In this study, we shed light on the development of mycosorbent, which could be potentially applicable in the treatment of industrial effluent. In a competitive (i.e., multimetal system) optimisation study, mycosorbent AD2 exhibited a maximum biosorption capacity of 3.7 to 6.20 mg/g at pH 6.0, with an initial metal ion concentration of 25 mg/L, a contact time of 2 h, at 50 ± 2 °C, and a pH_PZC of 5.3. The metal-removal capacity increased up to 1.23-fold after optimisation. The thermodynamic parameters confirmed that the AD2 mycosorbent facilitated an endothermic, feasible, and spontaneous biosorption process. The FT-IR and SEM characterisation analysis confirmed the adsorption of metals on the surface of the mycosorbent from the aqueous system. This study demonstrated that mycosorbent could be an effective tool for combating metallic pollutants in various industrial effluents. Full article

Dense video captioning involves identifying, localizing, and describing multiple events within a video. Capturing temporal and contextual dependencies between events is essential for generating coherent and accurate captions. To effectively capture temporal and contextual dependencies between events, we propose Dense Video Captioning with Dual Contextual, Systematic, and Linguistic Modules (DVC-DCSL), a novel dense video captioning model that integrates contextual, semantic, and linguistic modules. The proposed approach employs two uni-directional LSTMs (forward and backward) to generate distinct captions for each event. A caption selection mechanism then processes these outputs to determine the final caption. In addition, contextual alignment is improved by incorporating visual and textual features from previous video segments into the captioning module, ensuring smoother narrative transitions. Comprehensive experiments conducted using the ActivityNet dataset demonstrate that DVC-DCSL increases the Meteor score from 11.28 to 12.71, representing a 12% improvement over state-of-the-art models in the field of dense video captioning. These results highlight the effectiveness of the proposed approach in improving dense video captioning quality through contextual and linguistic integration. Full article

Background: Intravenous thrombolysis (IVT) is the standard treatment for ischemic stroke within 4.5 h of symptom onset. However, a significant proportion of patients present beyond this window. This study aims to evaluate the efficacy and safety of IVT beyond the 4.5 h window in selected patients. Methods: A systematic literature search was conducted across PubMed, Cochrane Library, and Google Scholar from inception to April 2025. Odds ratios (ORs) with 95% confidence intervals (CIs) were pooled using a random-effects model. Results: A total of 12 RCTs were included, with 3236 patients. Compared to controls, IVT significantly improved excellent functional outcomes [OR: 1.40; 95% CI: 1.21–1.62] and good functional outcomes [OR: 1.26; 95% CI: 1.06–1.50] at 90 days. IVT also improved recanalization [OR: 2.47; 95% CI: 1.96–3.12], reperfusion [OR: 2.20; 95% CI: 1.26–3.84], and early neurological improvement [OR: 1.91; 95% CI: 1.12–3.26]. However, it was associated with a significantly higher risk of symptomatic intracranial hemorrhage (sICH) [OR: 2.17; 95% CI: 1.25–3.79], any ICH [OR: 1.49; 95% CI: 1.09–2.04], and type-II parenchymal hemorrhage (PH) [OR: 2.14; 95% CI: 1.19–3.83]. No significant difference was observed in systemic hemorrhage, 90-day all-cause mortality, 7-day mortality, or 90-day intervention-related mortality (p > 0.05). Conclusions: IVT beyond 4.5 h improves neurological outcomes in patients with ischemic stroke without increasing overall mortality or systemic bleeding, though it raises the risk of sICH, any ICH, and type-II PH. Further large RCTs are needed to confirm these findings and guide clinical practice. Full article

In this paper, unmanned aerial vehicle (UAV)-assisted vehicular communications are investigated to minimize latency and maximize the utilization of available UAV battery power. As communication and cooperation among UAV and vehicles is frequently required, a viable approach is to reduce the transmission of redundant messages. However, when the sensor data captured by the varying number of vehicles is not independent and identically distributed (non-i.i.d.), this becomes challenging. Hence, in order to group the vehicles with similar data distributions in a cluster, we utilize federated learning (FL) based on an attention mechanism. We jointly maximize the UAV’s available battery power in each transmission window and minimize communication latency. The simulation experiments reveal that the proposed personalized FL approach achieves performance improvement compared with baseline FL approaches. Our model, trained on the V2X-Sim dataset, outperforms existing methods on key performance indicators. The proposed FL approach with an attention mechanism offers a reduction in communication latency by up to 35% and a significant reduction in computational complexity without degradation in performance. Specifically, we achieve an improvement of approximately 40% in UAV energy efficiency, 20% reduction in the communication overhead, and 15% minimization in sojourn time. Full article

The extensive environmental pollution caused by petroleum-based plastics highlights the urgent need for sustainable, economically viable alternatives. The practical challenge of enhancing polyhydroxybutyrate (PHB) production with cost-effective agro-industrial residues—rice-bran and corn-flour hydrolysates—has been demonstrated. Bacillus bingmayongensis GS2 was isolated from soil samples collected at the Pirana municipal landfill in Ahmedabad, India, and identified through VITEK-2 biochemical profiling and 16S rDNA sequencing (GenBank accession OQ749793). Initial screening for PHB accumulation was performed using Sudan Black B staining. Optimization via a sequential one-variable-at-a-time (OVAT) approach identified optimal cultivation conditions (36 h inoculum age, 37 °C, pH 7.0, 100 rpm agitation), resulting in a PHB yield of 2.77 g L⁻¹ (66% DCW). Further refinement using a central composite response surface methodology (RSM)—varying rice-bran hydrolysate, corn-flour hydrolysate, peptone concentration, and initial pH—significantly improved the PHB yield to 3.18 g L⁻¹(74% DCW), representing more than a threefold enhancement over unoptimized conditions. Structural validation using Fourier Transform Infrared spectroscopy (FTIR) and Proton Nuclear Magnetic Resonance spectroscopy (¹H-NMR) confirmed the molecular integrity of the produced PHB. That Bacillus bingmayongensis GS2 effectively converts low-cost agro-industrial residues into high-value bioplastics has been demonstrated, indicating substantial industrial potential. Future work will focus on bioreactor scale-up, targeted metabolic-engineering strategies, and comprehensive sustainability evaluations, including life-cycle assessment. Full article

Background: Alcohol-associated liver disease (ALD) is a primary global health concern, exacerbated by oxidative stress, inflammation, and gut barrier dysfunction. Conventional phytocompounds exhibit hepatoprotective potential but are hindered by low bioavailability. This study aimed to evaluate the hepatoprotective and gut-barrier-restorative effects of green-synthesized silver nanoparticles (AgNPs) derived from Enicostemma littorale, a medicinal plant known for its antioxidant and anti-inflammatory properties. Methods: AgNPs were synthesized using aqueous leaf extract of E. littorale and characterized using UV-Vis, XRD, FTIR, DLS, and SEM. HepG2 (liver) and Caco-2 (colon) cells were exposed to 0.2 M ethanol, AgNPs (1–100 µg/mL), or both, to simulate ethanol-induced toxicity. A range of in vitro assays was performed to assess cell viability, oxidative stress (H₂DCFDA), nuclear and morphological integrity (DAPI and AO/EtBr staining), lipid accumulation (Oil Red O), and gene expression of pro- and anti-inflammatory, antioxidant, and tight-junction markers using RT-qPCR. Results: Ethanol exposure significantly increased ROS, lipid accumulation, and the expression of inflammatory genes, while decreasing antioxidant enzymes and tight-junction proteins. Green AgNPs at lower concentrations (1 and 10 µg/mL) restored cell viability, reduced ROS levels, preserved nuclear morphology, and downregulated CYP2E1 and SREBP expression. Notably, AgNPs improved the expression of Nrf2, HO-1, ZO-1, and IL-10, and reduced TNF-α and IL-6 expression in both cell lines, indicating protective effects on both liver and intestinal cells. Conclusions: Green-synthesized AgNPs from E. littorale exhibit potent hepatoprotective and gut-barrier-restoring effects through antioxidant, anti-inflammatory, and antilipidemic mechanisms. These findings support the therapeutic potential of plant-based nanoparticles in mitigating ethanol-induced gut–liver axis dysfunction. Full article

In this study, camel milk (CM) and Gir cow milk (GCM) were fermented through cofermentation via yeast–lactic cultures, i.e., Lacticaseibacillus rhamnosus (M9, MTCC 25516) and Saccharomyces cerevisiae (WBS2A, MG101828), and their antioxidant and antidiabetic effectiveness were studied. To optimize the growth conditions, the level of proteolysis was evaluated by exploring various inoculation levels (1.5, 2.0 and 2.5%) as well as incubation durations (0, 12, 24, 36 and 48 h). Peptides were extracted and purified through 2D gel electrophoresis as well as SDS–PAGE. Water-soluble extracts (WSEs) of ultrafiltered (UF) peptide fractions were evaluated via reversed-phase high-performance liquid chromatography (RP-HPLC) to identify the peptide segments. By applying the Peakview tool, peptide sequences obtained from liquid chromatography–mass spectrometry (LC/MS) were reviewed by comparison with those in the BIOPEP database. Furthermore, the elevated levels of TNF-α, IL-6, IL-1β and nitric oxide (NO) in RAW 267.4 cells treated with lipopolysaccharide (LPS) are considerably lower than those in cultured CM and GCM. Protein macromolecules in CMs and GCMs have been captured via confocal laser scanning microscopy (CLSM) and Fourier transform infrared (FTIR) spectroscopy both before and after fermentation. Full article

Glaucoma is a leading cause of irreversible blindness globally, with early diagnosis being crucial to preventing vision loss. Traditional diagnostic methods, including fundus photography, OCT imaging, and perimetry, often fall short in sensitivity and fail to integrate structural and functional data. This study proposes a novel multi-modal diagnostic framework that combines convolutional neural networks (CNNs), vision transformers (ViTs), and quantum-enhanced layers to improve glaucoma detection accuracy and efficiency. The framework integrates fundus images, OCT scans, and clinical biomarkers, leveraging their complementary strengths through a weighted fusion mechanism. Datasets, including the GRAPE and other public and clinical sources, were used, ensuring diverse demographic representation and supporting generalizability. The model was trained and validated using cross-entropy loss, L2 regularization, and adaptive learning strategies, achieving an accuracy of 96%, sensitivity of 94%, and an AUC of 0.97—outperforming CNN-only and ViT-only approaches. Additionally, the quantum-enhanced architecture reduced computational complexity from O(n²) to O (log n), enabling real-time deployment with a 40% reduction in FLOPs. The proposed system addresses key limitations of previous methods in terms of computational cost, data integration, and interpretability. The proposed system addresses key limitations of previous methods in terms of computational cost, data integration, and interpretability. This framework offers a scalable and clinically viable tool for early glaucoma detection, supporting personalized care and improving diagnostic workflows in ophthalmology. Full article

This study applies the Conformable Laplace Adomian Decomposition Method (CLADM) to solve generalized time-fractional Korteweg–de Vries (KdV) models, including seventh- and fifth-order models. CLADM combines the conformable fractional derivative and Laplace transform with the Adomian decomposition technique, offering analytic approximate solutions. Numerical and graphical results, generated using MATLAB R2020a 9.8.0.1323502, validate the method’s efficiency and precision in capturing fractional-order dynamics. Fractional parameters $\mathsf{\varrho }$ significantly influence wave behavior, with higher orders yielding smoother profiles and reduced oscillations. Comparative analysis confirms CLADM’s superiority over existing methods in minimizing errors. The versatility of CLADM highlights its potential for studying nonlinear wave phenomena in diverse applications. Full article

Alzheimer’s disease (AD), a progressive neurodegenerative disorder, is marked by the pathological accumulation of amyloid-β plaques and tau neurofibrillary tangles, both of which disrupt neuronal communication and function. Emerging evidence highlights the role of extracellular vesicles (EVs) as key mediators of intercellular communication, particularly in the propagation of pathological proteins in AD. Among the regulatory factors influencing EV composition and function, neuraminidase 1 (NEU1), a lysosomal sialidase responsible for desialylating glycoproteins has gained attention for its involvement in EV glycosylation. This review explores the role of NEU1 in modulating EV glycosylation, with particular emphasis on its influence on immune modulation and intracellular trafficking pathways and the subsequent impact on intercellular signaling and neurodegenerative progression. Altered NEU1 activity has been associated with abnormal glycan profiles on EVs, which may facilitate the enhanced spread of amyloid-β and tau proteins across neural networks. By regulating glycosylation, NEU1 influences EV stability, targeting and uptake by recipient cells, primarily through the desialylation of surface glycoproteins and glycolipids, which alters the EV charge, recognition and receptor-mediated interactions. Targeting NEU1 offers a promising therapeutic avenue to restore EV homeostasis and reduces pathological protein dissemination. However, challenges persist in developing selective NEU1 inhibitors and effective delivery methods to the brain. Furthermore, altered EV glycosylation patterns may serve as potential biomarkers for early AD diagnosis and monitoring. Overall, this review highlights the importance of NEU1 in AD pathogenesis and advocates for deeper investigation into its regulatory functions, with the aim of advancing therapeutic strategies and biomarker development for AD and related neurological disabilities. Full article

This article reveals the various types of complications that are associated with dialysis and kidney-associated disease, including left ventricular hypertrophy, heart failure, vascular heart disease, arrhythmias, diabetes mellitus, intradialytic hypertension, and coronary heart disease. The molecular mechanisms underlying the development of cardiovascular disease in patients with chronic kidney disease (CKD), including the role of nitric oxide (NO) signaling, have been extensively studied. Patients suffering from CKD need treatment with hemodialysis at the end stages. The kidney is considered the chief excretory organ in humans, which excretes various types of waste materials from the body and balances the acid–base ratio, due to which its role in homeostasis has been considered. When kidneys fail to function properly due to various diseases, hemodialysis plays the role of the kidneys. This procedure involves removing a patient’s blood, filtering it through a dialyzer to remove waste products, and returning the cleaned blood to the body. However, for the hemodialysis procedure, fistula formation is necessary, which is created by specific surgery in which the radial artery and superficial vein are connected in the forearm, near the wrist or elbow. This arteriovenous (AV) fistula creation fails sometimes and causes complications. The prolonged use of hemodialysis procedures and improper care also lead to many complications in chronic kidney patients, which have been discussed in detail in this review article. Full article