Search Results (1,030)

Therapeutic innovation in cardiovascular medicine is rapidly overcoming the limitations of conventional strategies, providing more targeted, durable, and multidimensional solutions. Key advances include next-generation lipid-lowering agents such as PCSK9 inhibitors, inclisiran, and bempedoic acid, as well as metabolic drugs like SGLT2 inhibitors, GLP-1 receptor agonists, and dual GIP/GLP-1 agonists, which offer cardiovascular and renal benefits beyond glucose control. At the same time, gene therapies, RNA-based interventions, genome editing tools, and nanocarriers are paving the way for precision medicine tailored to individual patient profiles. In parallel, digital innovations, including artificial intelligence, remote monitoring, and telehealth platforms, are transforming care delivery by enhancing adherence, enabling earlier intervention, and refining risk stratification. Collectively, these developments signify a paradigm shift toward a more personalized, proactive, and systems-based model of cardiovascular care. Full article

Ischemic stroke remains a major cause of mortality and long-term disability, yet current therapeutic strategies are largely limited to reperfusion approaches such as intravenous thrombolysis and thrombectomy, which are constrained by narrow treatment windows and the risk of complications. Moreover, the blood–brain barrier (BBB) severely restricts drug penetration into the injured brain, limiting the translation of promising neuroprotective agents into clinical success. Intranasal (IN) delivery has emerged as a compelling alternative route that bypasses the BBB and enables rapid access to the central nervous system through olfactory, trigeminal, and perivascular pathways. This narrative review highlights recent advances in preclinical research on IN therapeutics for ischemic stroke, ranging from small molecules and biologics to nucleic acids and cell-based therapies. Particular emphasis is placed on the application of nanotechnology, including extracellular vesicles, liposomes, and inorganic nanoparticles, which enhance drug stability, targeting, and bioavailability. Studies demonstrate that IN delivery of growth factors, cytokines, and engineered stem cells can promote neurogenesis, angiogenesis, white matter repair, and functional recovery, while nanocarriers further expand the therapeutic potential. Overall, intranasal delivery represents a promising and non-invasive strategy to overcome the limitations of conventional stroke therapies, offering new avenues for neuroprotection and regeneration that warrant further investigation toward clinical translation. Full article

The stability of energy demand–supply systems is often affected by delayed feedback caused by regulatory inertia, communication lags, and heterogeneous agent responses. Conventional models typically assume discrete delays, which may oversimplify real dynamics and reduce controller effectiveness. This work addresses this limitation by introducing a novel class of nonlinear energy models with distributed delay feedback governed by gamma-distributed memory kernels. Specifically, we consider both weak (exponential) and strong (Erlang-type) kernels to capture a spectrum of memory effects. Using the linear chain trick, we reformulate the resulting integro-differential model into a higher-dimensional system of ordinary differential equations. Analytical conditions for local asymptotic stability and Hopf bifurcation are derived, complemented by Lyapunov-based global stability criteria. The related numerical analysis confirms the theoretical findings and reveals a distinct stabilization regime. Compared to fixed-delay approaches, the proposed framework offers improved flexibility and robustness, with implications for delay-aware energy control and infrastructure design. Full article

In multi-manipulator systems operating within shared workspaces, achieving collision-free posture control is challenging due to high degrees of freedom and complex inter-manipulator interactions. Traditional motion planning methods often struggle with scalability and computational efficiency in such settings, motivating the need for learning-based approaches. This paper presents a multi-agent deep reinforcement learning (MADRL) framework for real-time collision-free posture control of multiple manipulators. The proposed method employs a line-segment representation of manipulator links to enable efficient interlink distance computation to guide cooperative collision avoidance. Employing a centralized training and decentralized execution (CTDE) framework, the approach leverages global state information during training, while enabling each manipulator to rely on local observations for real-time collision-free trajectory planning. By integrating efficient state representation with a scalable training paradigm, the proposed framework provides a principled foundation for addressing coordination challenges in dense industrial workspaces. The approach is implemented and validated in NVIDIA Isaac Sim across various overlapping workspace scenarios. Compared to conventional state representations, the proposed method achieves faster learning convergence and superior computational efficiency. In pick-and-place tasks, collaborative multi-manipulator control reduces task completion time by over 50% compared to single-manipulator operation, while maintaining high success rates (>83%) under dense workspace conditions. These results confirm the effectiveness and scalability of the proposed framework for real-time, collision-free multi-manipulator control. Full article

Among bioactive peptides, those with antimicrobial activity have attracted increasing attention due to their potential as alternatives to traditional antibiotics. Antimicrobial peptides (AMPs) are small molecules, typically composed of 6 to 60 amino acid residues, and some with low cytotoxicity and minimal side effects. They exhibit broad-spectrum activity against bacteria, viruses, fungi, and parasites through diverse mechanisms of action and interactions with the immune system. This review presents the main aspects of AMPs, including their biochemical characteristics, sources, mechanisms of action, and computational tools used for their identification and analysis. It also examines recent progress in clinical trials and the current limitations that restrict the development and commercialization of AMPs. The review discusses the application of AMPs beyond human medicine, including their use in food preservation to prevent microbial contamination and in veterinary medicine to control infections in livestock, thereby reducing dependence on conventional antibiotics. Overall, AMPs represent a versatile class of antimicrobial agents whose effective implementation across health, food, and veterinary sectors will require integrated multidisciplinary approaches. Full article

Pulsed liquid-based nanoparticle synthesis has emerged as a versatile and environmentally friendly approach for producing a wide range of nanomaterials with tunable properties. Unlike conventional chemical methods, pulsed techniques—such as pulsed laser ablation in liquids (PLAL), electrical discharge, and other energy-pulsing methods—enable the synthesis of high-purity nanoparticles without the need for toxic precursors or stabilizing agents. This review provides a comprehensive overview of the fundamental mechanisms driving nanoparticle formation under pulsed conditions, including plasma–liquid interactions, cavitation, and shockwave dynamics. We discuss the influence of key synthesis parameters, explore different pulsed energy sources, and highlight the resulting effects on nanoparticle size, shape, and composition. The review also surveys a broad spectrum of material systems and outlines advanced characterization techniques for analyzing synthesized nanostructures. Furthermore, we examine current and emerging applications in biomedicine, catalysis, sensing, energy, and environmental remediation. Finally, we address critical challenges such as scalability, reproducibility, and mechanistic complexity, and propose future directions for advancing the field through hybrid synthesis strategies, real-time diagnostics, and machine learning integration. By bridging mechanistic insights with practical applications, this review aims to guide researchers toward more controlled, sustainable, and innovative nanoparticle synthesis approaches. Full article

Soil-borne plant pathogens pose a serious threat to global food security by causing extensive yield losses and compromising crop quality. Conventional chemical-based control methods often prove inadequate, environmentally harmful, and disruptive to beneficial soil microbiota, highlighting the urgent need for sustainable alternatives. Plant growth-promoting fungi (PGPF) have emerged as effective biocontrol agents capable of suppressing diverse soil-borne pathogens while simultaneously enhancing plant growth and resilience. This review synthesizes current knowledge on the tripartite interactions among plants, pathogens, and PGPF within the rhizosphere, with emphasis on their roles in disease suppression, rhizosphere competence, and plant health promotion. The findings highlight that PGPF such as Trichoderma, Penicillium, Aspergillus, non-pathogenic Fusarium, hypovirulent binucleate Rhizoctonia and sterile fungi can significantly reduce diseases caused by fungi, oomycetes, bacteria, nematodes, and protists through mechanisms including antibiosis, hyperparasitism, competition, and induction of systemic resistance. Evidence also indicates that consortium approaches and bioformulations enhance field efficacy compared to single-strain applications. Despite this progress, challenges such as variability in field performance, limited shelf life of inoculants, and gaps in understanding ecological interactions constrain large-scale use. Overall, the review underscores that PGPF-based strategies represent a promising and sustainable alternative to chemical pesticides, with strong potential for integration into holistic crop disease management under changing climatic conditions. Full article

Background/Objectives: Neuroblastoma is a pediatric embryonal tumor of the autonomic nervous system, characterized by high heterogeneity. Recent research has explored the therapeutic potential of retinoic acid and selenium derivatives as antiproliferative agents. This study aims to assess the antiproliferative effects of sodium selenite and retinoic acid, as well as the conventional chemotherapeutic agents, cyclophosphamide and cisplatin, using the SH-SY5Y neuroblastoma cell line. Methods: Cells were treated with the compounds at concentrations ranging from 0 to 1000 µM for 72 h. The following assays were performed: cell viability, clonogenic assay, cell migration, cell cycle analysis, and gene expression (BCL2 and BAX). Data were analyzed using the Kruskal–Wallis test followed by Dunn’s or the Mann–Whitney test (p < 0.05). IC₅₀ values were obtained from dose–response curves. Results: Sodium selenite (100–1000 µM) significantly reduced cell viability by more than 50% (IC₅₀: 166 µM at 72 h). Retinoic acid (300 µM) reduced viability by 65% (IC₅₀: 198 µM at 72 h), and cisplatin (10 µM) reduced viability by 79% (IC₅₀: 3.4 µM at 72 h). All compounds significantly decreased colony formation. Sodium selenite and retinoic acid induced arrest in the G0/G1 phase of the cell cycle. Gene expression analysis revealed downregulation of the BCL2 gene by all compounds and upregulation of BAX only by sodium selenite at IC₅₀ concentration. Conclusions: Sodium selenite and retinoic acid showed antiproliferative effects on neuroblastoma cells, suggesting their potential as adjuvant therapeutic agents. To reach this goal, we suggest further investigation of their mechanisms of action and evaluation of the combined strategies. Full article

The accurate acquisition and real-time calculation of the attitude angle of precision firefighting extinguishing projectiles are essential for ensuring stable flight and precise extinguishing agent release. However, measuring the roll attitude angle in such projectiles is challenging due to their highly dynamic nature and environmental disturbances such as fire smoke, high temperature, and electromagnetic interference. Traditional methods for measuring attitude angles rely on multi-sensor fusion schemes, which suffer from complex structure and high cost. This paper proposes a single-gyro attitude calculation method based on micro-electromechanical inertial measurement units (MIMUs). This method integrates Fourier transform time-frequency analysis with a second-order Infinite Impulse Response (IIR) bandpass filtering algorithm optimized by dynamic coefficients. Unlike conventional fixed-coefficient filters, the proposed algorithm adaptively updates filter parameters according to instantaneous roll angular velocity, thereby maintaining tracking capability under time-varying conditions. This theoretical contribution provides a general framework for adaptive frequency-tracking filtering, beyond the specific engineering case of firefighting projectiles. Through joint time-frequency domain processing, it achieves high-precision dynamic decoupling of the roll angle, eliminating the dependency on external sensors (e.g., radar/GPS) inherent in conventional systems. This approach drastically reduces system complexity and provides key technical support for low-cost and high-reliability firefighting projectile attitude control. The research contributes to enhancing the effectiveness of urban firefighting, forest fire suppression, and public safety emergency response. Full article

With the rapid expansion of electric vehicles, the risk of battery fires has become a critical safety concern. Conventional suppression methods, such as submerging battery packs in large water tanks, are inefficient due to long response times and potential secondary hazards. This study introduces a polymer-based fire suppression tube system that automatically activates under specific conditions. The system utilizes energy from a C4 explosion to rupture the tube, rapidly releasing the extinguishing agents stored inside. Explicit dynamics simulations in ANSYS Workbench 2024 R2 were conducted by varying tube thickness from 0.5 mm to 2.0 mm to evaluate the structural response of adjacent components. Three indices were examined: total deformation, deformation of the adjacent plate, and deformation of the tube itself. The results showed that thinner tubes (0.5 mm) allowed for greater propagation of blast energy, increasing the risk of damage, whereas thicker tubes (≥1.5 mm) effectively confined the explosive energy and reduced shock transmission. These findings confirm that tube thickness is a key parameter governing blast-induced deformation, with 1.5 mm identified as the threshold for minimizing structural damage. This study provides practical design guidelines for polymer-based automatic suppression systems, contributing to safer fire protection solutions for electric vehicles and related industrial applications. Full article

The increasing complexity of urban energy systems requires decentralized, sustainable, and scalable solutions. The paper presents a new multi-layered framework for smart energy management in microgrids by bringing together advanced forecasting, decentralized decision-making, evolutionary optimization and blockchain-based coordination. Unlike previous research addressing these components separately, the proposed architecture combines five interdependent layers that include forecasting, decision-making, optimization, sustainability modeling, and blockchain implementation. A key innovation is the use of Temporal Fusion Transformer (TFT) for interpretable multi-horizon forecasting of energy demand, renewable generation, and electric vehicle (EV) availability which outperforms conventional LSTM, GRU and RNN models. Another novelty is the hybridization of Genetic Algorithms (GA) and Particle Swarm Optimization (PSO), to simultaneously support discrete and continuous decision variables, allowing for dynamic pricing, efficient energy dispatching and adaptive EV scheduling. Multi-Agent Reinforcement Learning (MARL) which is improved by sustainability shaping by including carbon intensity, renewable utilization ratio, peak to average load ratio and net present value in agent rewards. Finally, Ethereum-based smart contracts add another unique contribution by providing the implementation of transparent and tamper-proof peer-to-peer energy trading and automated sustainability incentives. The proposed framework strengthens resilient infrastructure through decentralized coordination and intelligent optimization while contributing to climate mitigation by reducing carbon intensity and enhancing renewable integration. Experimental results demonstrate that the proposed framework achieves a 14.6% reduction in carbon intensity, a 12.3% increase in renewable utilization ratio, and a 9.7% improvement in peak-to-average load ratio compared with baseline models. The TFT-based forecasting model achieves RMSE = 0.041 kWh and MAE = 0.032 kWh, outperforming LSTM and GRU by 11% and 8%, respectively. Full article

Radio astronomy requires precise target localization and tracking to ensure accurate observations. Conventional regulation methodologies, encompassing PID controllers, frequently encounter difficulties due to orientation inaccuracies precipitated by mechanical limitations, environmental fluctuations, and electromagnetic interferences. To tackle these obstacles, this investigation presents a reinforcement learning (RL)-oriented framework for high-accuracy monitoring in radio telescopes. The suggested system amalgamates a localization control module, a receiver, and an RL tracking agent that functions in scanning and tracking stages. The agent optimizes its policy by maximizing the signal-to-noise ratio (SNR), a critical factor in astronomical measurements. The framework employs a reconditioned 12-m radio telescope at King Mongkut’s Institute of Technology Ladkrabang (KMITL), originally constructed as a satellite earth station antenna for telecommunications and was subsequently refurbished and adapted for radio astronomy research. It incorporates dual-axis servo regulation and high-definition encoders. Real-time SNR data and streaming are supported by a HamGeek ZedBoard with an AD9361 software-defined radio (SDR). The RL agent leverages the Proximal Policy Optimization (PPO) algorithm with a self-attention actor–critic model, while hyperparameters are tuned via Optuna. Experimental results indicate strong performance, successfully maintaining stable tracking of randomly moving, non-patterned targets for over 4 continuous hours without any external tracking assistance, while achieving an SNR improvement of up to 23.5% compared with programmed TLE-based tracking during live satellite experiments with Thaicom-4. The simplicity of the framework, combined with its adaptability and ability to learn directly from environmental feedback, highlights its suitability for next-generation astronomical techniques in radio telescope surveys, radio line observations, and time-domain astronomy. These findings underscore RL’s potential to enhance telescope tracking accuracy and scalability while reducing control system complexity for dynamic astronomical applications. Full article

Background: Cyclosporine (CSA) is a fast-acting systemic immunosuppressant frequently used in moderate-to-severe atopic dermatitis (AD), but its long-term use is limited by toxicity. AD affects as many as 20% of children and nearly 10% of adults worldwide and its chronic, recurrent course often requires several systemic treatment lines, making optimization of sequential therapy a high clinical priority. Tralokinumab, an IL-13–targeting monoclonal antibody, represents a safer alternative with a slower onset of action. This study aimed to compare the effectiveness and safety of tralokinumab initiated as monotherapy versus in overlap with CSA during the transition from conventional to biologic therapy. Methods: We conducted a prospective observational study involving 27 adults with moderate-to-severe AD treated with tralokinumab for at least 16 weeks. Patients were categorized into two groups: tralokinumab monotherapy plus topical agents (TM; n = 23) and tralokinumab initiated with a cyclosporine overlap for up to 12 weeks (TO; n = 4). Disease severity was evaluated using the Eczema Area and Severity Index (EASI), Investigator Global Assessment (IGA), and numerical rating scale (NRS) for pruritus at baseline and weeks 16, 24, and 52. Results: Both TM and TO groups demonstrated significant clinical improvement across all outcomes, with no statistically significant differences between groups (p > 0.05 for EASI, IGA, and NRS). At week 52, TM patients showed mean reductions of 18.66 (EASI), 2.21 (IGA), and 4.49 (NRS), while TO patients showed reductions of 15, 2, and 3.50, respectively. Tralokinumab was discontinued in eight patients (29.6%), most commonly due to lack of efficacy. Discontinuation rates did not differ significantly between groups. However, the very small size of the TO group (n = 4) substantially limits statistical power and any contrasts should be interpreted as exploratory. Conclusions: In this prospective real-world cohort, we observed improvement after initiating tralokinumab, with and without a short cyclosporine bridge. In light of CSA’s risks, TM may be considered a reasonable first-line systemic option. Prospective randomized studies are needed to determine whether overlap confers additional benefit. Full article

Bacterial infections are a major complication in chronic obstructive pulmonary disease (COPD) and acute respiratory distress syndrome (ARDS), where mucus accumulation and pH fluctuations further hinder treatment. Nanostructured systems such as carbon dots (CDs) are increasingly investigated as antimicrobial agents due to their scalability, low cost, and biocompatibility, compared to conventional antibiotics. Here, CDs were synthesized by a one-step microwave-assisted method at three reaction temperatures (130 °C, 170 °C, and 185 °C, named LT-CDs, MT-CDs, HT-CDs, respectively) to explore the effect of carbonization on their structure and function. TEM, Raman, and FTIR analyses were employed to investigate the size and distribution of carbon groups. UV–vis confirmed distinct pH-dependent spectral responses, and mucoadhesion studies revealed stronger and more stable interactions for MT-CDs. Biological assays demonstrated high biocompatibility across all samples on lung fibroblasts, while antimicrobial tests highlighted a selective effect against Staphylococcus aureus, due to ROS generation. Overall, MT-CDs represented the best compromise in terms of size, functionalization, biocompatibility, mucoadhesion, and antimicrobial activity, emerging as promising nanoplatforms for respiratory infection management in COPD and ARDS. Full article

The increasing prevalence of antimicrobial resistance (AMR) among foodborne pathogens has emerged as a critical global health concern, undermining the efficacy of conventional antimicrobial agents and threatening the safety and integrity of the food supply chain. In response, probiotics, prebiotics, and their combinations as synbiotics are increasingly recognised as sustainable, health-oriented strategies to mitigate AMR across the food chain. Probiotics—live microorganisms that, when administered in adequate amounts, confer health benefits to the host—contribute to AMR mitigation through multiple mechanisms, including competitive exclusion of resistant pathogens, production of antimicrobial metabolites (e.g., bacteriocins and organic acids), modulation of host immunity, and restoration of gut microbial balance. Prebiotics, defined as non-digestible food ingredients, selectively stimulate the growth and/or metabolic activity of beneficial bacteria such as Lactobacillus and Bifidobacterium spp., thereby reinforcing colonisation resistance. When combined as synbiotics, these agents may exert synergistic effects, enhancing microbial resilience, promoting gut health, and reducing the colonisation and persistence of AMR-related pathogens. The integration of these bio-based approaches into food systems—particularly in the development of fermented and functional foods—supports broader One Health objectives by reducing the need for antibiotics and contributing to global AMR containment efforts. This review summarises current scientific insights, explores practical applications, and outlines future perspectives on the role of probiotics, prebiotics, and synbiotics in combating AMR throughout the food chain. Full article