Search Results (5,465)

The growing demand for renewable energy in space-constrained environments highlights the need for compact, high-efficiency wind energy systems. Conventional bare wind turbine (BWT) arrays suffer from severe wake interactions and performance degradation when operated in tandem or closely spaced configurations. To address these limitations, this study investigates the aerodynamic performance and near-wake dynamics of a novel multi-ducted wind turbine (MDWT) system that integrates passive flow-control technique (PFCT) into an innovative fixed-duct design. The objective is to evaluate how tandem ducted arrangements with this integrated mechanism influence wake recovery, vortex dynamics, and power generation compared with multi-bare wind turbine (MBWT) systems. A numerical approach is employed using the Unsteady Reynolds-Averaged Navier–Stokes (URANS) formulation with the k–ω SST turbulence model, validated against experimental data. The analysis focuses on two identical, fixed-orientation ducts arranged in tandem without lateral offset, tested under three spacing configurations. The results reveal that the ducted system accelerates the near-wake flow and displaces velocity-deficit regions downward due to the passive flow-control sheets, producing stronger inflow fluctuations and enhanced turbulence mixing. These effects improve wake recovery and mitigate energy losses behind the first turbine. Quantitatively, the MDWT array achieves total power outputs 1.99, 1.90, and 1.81 times greater than those of the MBWT array for Configurations No. 1, No. 2, and No. 3, respectively. In particular, the second duct in Configuration No. 1 demonstrates a 3.46-fold increase in power coefficient compared with its bare counterpart. These substantial gains arise because the upstream duct–PFCT assembly generates a favorable pressure gradient that entrains ambient air into the wake, while coherent tip vortices and redirected shear flows enhance mixing and channel high-momentum fluid toward the downstream rotor plane. The consistent performance across spacings further confirms that duct-induced flow acceleration and organized vortex structures dominate over natural wake recovery effects, maintaining efficient energy transfer between turbines. The study concludes that closely spaced MDWT systems provide a compact and modular solution for maximizing energy extraction in constrained environments. Full article

Background: The immunogenicity of polysaccharide conjugate vaccines is critically influenced by the choice of carrier protein, which promotes a T-cell-dependent immune response mechanism leading to strong antibody production. In this study, the cholera toxin B subunit (CTB), a non-toxic pentameric protein, was evaluated as a novel carrier protein for pneumococcal polysaccharide antigens. Methods: Recombinant CTB was produced in Escherichia coli and purified using scalable chromatographic methods. Pneumococcal polysaccharides from serotypes 7F, 22F, and 33F were chemically activated with CDAP and conjugated to CTB. Results: The resulting glycoconjugates were characterized by SEC-MALS, confirming successful conjugation, high molecular weights, consistent polysaccharide-to-protein ratios, and acceptable endotoxin levels. Immunogenicity was assessed in rabbits following immunization with alum-adjuvanted formulations. Results: Robust IgG responses were elicited by all CTB-based conjugates, with antibody levels found to be comparable to those induced by CRM197 conjugates, demonstrating the potential of CTB as a promising alternative for the next generation of conjugate vaccines. Full article

This paper explores the symmetry of integrated control technology to ensure the smooth operation of shearers, scraper conveyors and hydraulic supports in the context of integrated mechanized coal mining, so as to achieve the dual goals of improving coal mining efficiency and ensuring operation safety. Article paper addresses the critical research gap in system-level coordination for mechanized coal mining. While the shearer, scraper conveyor, and hydraulic support have been extensively studied individually, their integrated control under dynamic and complex geological conditions remains a challenge, often leading to production bottlenecks and safety risks. This study proposes a novel integrated control model to bridge this gap. The study formulates the research problem of achieving continuous and safe mining operations under complex geological conditions and employs modeling and simulation to validate the proposed control methodology. In the subsequent stages, a technological solution for the control of the coal mining process is investigated, and the effectiveness of the constructed model is thoroughly tested through simulation modeling methods. The study shows that through proportional–integral (PI) control, precise interaction between coal mining machines, scraper conveyors and hydraulic supports can be achieved, thereby ensuring the continuity and safety of coal mining operations and effectively preventing production interruptions and potential accidents. The research results are analyzed, and a forecast is made for the future trend of technology development, namely, the movement toward intelligence, automation and precision, so as to further promote technological innovation and industrial upgrading in the coal mining industry. Full article

Textile dye effluents containing toxic organic compounds pose serious environmental challenges. In this study, novel Poly(1-vinyl imidazole)-Bis[2-(methacryloyloxy)ethyl] phosphate (PVIB) polymers were synthesized with crosslinker molar fractions ranging from 5% to 80% and were subsequently investigated as advanced adsorbents for textile dye removal. Procion Red (PR), a widely used reactive dye, was selected as the model pollutant. The materials were characterized using FTIR, TGA, DTG, SEM-EDX, WD-XRF, TEM, and BET analyses. Adsorption mechanisms were examined through kinetic, isotherm, and thermodynamic models. Among the synthesized formulations, PVIB20% achieved the best dye removal, reaching an experimental adsorption capacity of 330 mg g⁻¹ within 60 min under acidic to neutral conditions. The kinetic modeling studies identified the pseudo-first-order model as the best fit, indicating a surface-controlled process involving both physical and chemical interactions. Isotherm studies showed that the Langmuir and Redlich–Peterson models provided the best fit, yielding a maximum monolayer adsorption capacity of 765 mg g⁻¹. Thermodynamic analysis revealed that the adsorption was spontaneous, endothermic, and entropy-driven. Overall, PVIB20% demonstrated superior adsorption capacity, rapid kinetics, and strong dye–polymer interactions compared with many conventional and modified adsorbents, which highlights its potential as an efficient and durable material for anionic dye removal from wastewater. Full article

Tuberculosis (TB) remains a significant worldwide health challenge due to the limitations of conventional treatments and the rising incidence of drug-resistant Mycobacterium tuberculosis strains. This review consolidates the advancements in nanotechnology-based therapeutics, inhalable formulations, CRISPR–Cas tools, host-directed therapies (HDTs), and nanoparticle-based vaccine development aimed at enhancing TB management. Novel nanocarriers such as liposomes, solid-lipid nanoparticles (SLNs), dendrimers, and polymeric nanoparticles (NPs) offer enhanced bioavailability of drugs, sustained release, as well as targeted delivery to infected macrophages, thereby reducing systemic toxicity and dosing frequency. Inhalable nanomedicines provide localized delivery to the pulmonary site, enhancing the concentration of the drug at the primary site of infection. CRISPR–Cas technology is emerging as a transformative approach to disabling drug-resistant genes and enhancing diagnostic precision. HDTs, including agents like vitamin D and metformin, show potential in modulating host immune responses and enhancing pathogen clearance. Nanoparticle-based vaccines, including mRNA and antigen-conjugated platforms, aim to overcome the limitations of the BCG vaccine by enhancing antigen presentation and eliciting stronger, longer-lasting immunity. Collectively, these modalities mark a shift toward more personalized, effective, and less toxic TB therapies. However, challenges such as regulatory approval, safety, scalability, and accessibility remain. This review highlights the integrated potential of nanomedicine, gene editing, and immunomodulation to transform TB care and combat drug resistance, paving the way for more robust and durable treatment strategies. Full article

The Secretary Bird Optimization Algorithm (SBOA) is a novel swarm-based meta-heuristic that formulates an optimization model by mimicking the secretary bird’s hunting and predator-evasion behaviors, and thus possesses appreciable application potential. Nevertheless, it suffers from an unbalanced exploration–exploitation ratio, difficulty in maintaining population diversity, and a tendency to be trapped in local optima. To eliminate these drawbacks, this paper proposes an SBOA variant (MESBOA) that integrates a multi-population management strategy with an experience-trend guidance strategy. The proposed method is compared with eight advanced basic/enhanced algorithms of different categories on both the CEC2017 and CEC2022 test suites. Experimental results demonstrate that MESBOA delivers faster convergence, more stable robustness and higher accuracy, achieving mean rankings of 2.500 (CEC2022 10-D), 2.333 (CEC2022 20-D), 1.828 (CEC2017 50-D) and 1.931 (CEC2017 100-D). Moreover, engineering constrained optimization problems further verify its applicability to real-world optimization tasks. Full article

The human skin microbiome, defined as a multifaceted ecosystem comprising bacteria, fungi, viruses, and mites, plays a pivotal role in maintaining skin homeostasis and regulating immune responses. In recent years, an increasing amount of evidence has illuminated the considerable influence exerted by microbiomes on the pathophysiology of dermatological ailments. This review provides a comprehensive synthesis of contemporary findings concerning the microbiome’s role in acne, aging, hyperpigmentation, and hair disorders, while also addressing the emerging concept of the gut–skin axis and how it could interfere in these skin disorders. Alterations in microbial composition, referred to as dysbiosis, have been associated with inflammatory processes and barrier dysfunction, thereby contributing to the severity and chronicity of diseases. Distinct microbial profiles have been identified as correlating with specific skin conditions. For instance, variations in Cutibacterium acnes phylotypes have been associated with the development of acne, whereas alterations in Corynebacterium and Staphylococcus species have been linked to the processes of aging and pigmentation patterns. Furthermore, the composition of the microbiome is examined in relation to its impact on cosmetic outcomes. It also engages with increasing interest in the modulation of microbiota through the topical application of bioactive compounds. The incorporation of prebiotics, probiotics, and postbiotics into cosmetic formulations constitutes a novel strategy aimed at enhancing skin health. In the domain of dermatological therapies, postbiotics have emerged as a significant class of substances, particularly due to their remarkable stability, safety, and immunomodulatory properties. These characteristics position them as promising candidates for incorporation into dermatological treatments. Recent studies have underscored the significance of microbiome-informed strategies within the domains of therapeutic and preventive dermatology, emphasizing the potential of such approaches to positively influence patient outcomes. As our understanding of this field continues to evolve, skin microbiomes are poised to emerge as a pivotal area of focus in the realm of personalized skin care and treatment. This development presents novel and innovative approaches for the management of skin conditions, characterized by enhanced specificity and efficacy. Full article

Edge computing is characterized by heterogeneous hardware, distributed deployment, and a need for on-site processing, which makes performance benchmarking challenging. This paper presents SHEAB (Scalable Heterogeneous Edge Automation Benchmarking), a novel framework designed to securely automate the benchmarking of Edge AI devices at scale. The proposed framework enables concurrent performance evaluation of multiple edge nodes, drastically reducing the time-to-deploy (TTD) for benchmarking tasks compared to traditional sequential methods. SHEAB’s architecture leverages containerized microservices for orchestration and result aggregation, integrated with multi-layer security (firewalls, VPN tunneling, and SSH) to ensure safe operation in untrusted network environments. We provide a detailed system design and workflow, including algorithmic pseudocode for the SHEAB process. A comprehensive comparative review of related work highlights how SHEAB advances the state-of-the-art in edge benchmarking through its combination of secure automation and scalability. We detail a real-world implementation on eleven heterogeneous edge devices, using a centralized 48-core server to coordinate benchmarks. Statistical analysis of the experimental results demonstrates a 43.74% reduction in total benchmarking time and a 1.78× speedup in benchmarking throughput using SHEAB, relative to conventional one-by-one benchmarking. We also present mathematical formulations for performance gain and discuss the implications of our results. The framework’s effectiveness is validated through the concurrent execution of standard benchmarking workloads on distributed edge nodes, with results stored in a central database for analysis. SHEAB thus represents a significant step toward efficient and reproducible Edge AI performance evaluation. Future work will extend the framework to broader workloads and further improve parallel efficiency. Full article

Lyophilization (freeze-drying) has become a cornerstone pharmaceutical technology for stabilizing biopharmaceuticals, overcoming the inherent instability of biologics, vaccines, and complex drug formulations in aqueous environments. The appropriate literature for this review was identified through a structured search of several databases (such as PubMed, Scopus) covering publications from late 1990s till date, with inclusion limited to peer-reviewed studies on lyophilization processes, formulation development, and process analytical technologies. This succinct review examines both fundamental principles and cutting-edge advancements in lyophilization technology, with particular emphasis on Quality by Design (QbD) frameworks for optimizing formulation development and manufacturing processes. The work systematically analyzes the critical three-stage lyophilization cycle—freezing, primary drying, and secondary drying—while detailing how key parameters (shelf temperature, chamber pressure, annealing) influence critical quality attributes (CQAs) including cake morphology, residual moisture content, and reconstitution behavior. Special attention is given to formulation strategies employing synthetic surfactants, cryoprotectants, and stabilizers for complex delivery systems such as liposomes, nanoparticles, and biologics. The review highlights transformative technological innovations, including artificial intelligence (AI)-driven cycle optimization, digital twin simulations, and automated visual inspection systems, which are revolutionizing process control and quality assurance. Practical case studies demonstrate successful applications across diverse therapeutic categories, from small molecules to monoclonal antibodies and vaccines, showcasing improved stability profiles and manufacturing efficiency. Finally, the discussion addresses current regulatory expectations (FDA/ICH) and compliance considerations, particularly regarding cGMP implementation and the evolving landscape of AI/ML (machine learning) validation in pharmaceutical manufacturing. By integrating QbD-driven process design with AI-enabled modeling, process analytical technology (PAT) implementation, and regulatory alignment, this review provides both a strategic roadmap and practical insights for advancing lyophilized drug product development to meet contemporary challenges in biopharmaceutical stabilization and global distribution. Despite several publications addressing individual aspects of lyophilization, there is currently no comprehensive synthesis that integrates formulation science, QbD principles, and emerging digital technologies such as AI/ML and digital twins within a unified framework for process optimization. Future work should integrate advanced technologies, AI/ML standardization, and global access initiatives within a QbD framework to enable next-generation lyophilized products with improved stability and patient focus. Full article

Biodegradable Pickering emulsions are attracting increased appeal owing to their promising and diversifying therapeutic applications. In this study, for the first time, a novel therapeutic Pickering emulsion stabilized with ginger powder (GA4) was formulated, characterized, and tested for doxorubicin (DOX) delivery. GA4_Pes physicochemical characterization by DLS (Dynamic Light Scattering), POM (Polarized Optical Microscopy), Cryo-SEM (Cryo-Scanning Electron Microscopy), TEM (Transmission Electron Microscopy), and rheology testing confirmed stability for at least one month, solid-like gel properties, and multiple morphology even at a low concentration of stabilizer. In addition, the morphological, dimensional, and rheological properties of some GA4_Pe loaded with DOX (GA4_Pe@DOX) were examined. These formulations were of the w/o/w type, stable for at least 28 days, and showed efficient doxorubicin internalization. A 24 h in vitro release assay displayed a sustained and pH-dependent release, with 30% and 50% chemotherapeutic released at pH 7.4 and 5.6, respectively. Furthermore, in vitro cell viability assessment performed using GA4_Pe showed no toxicity on immortalized 3T3 mouse embryonic fibroblasts but a small significant inhibitory effect on human breast cancer cell line MCF7. Interestingly, the GA4_Pe@DOX emulsion exerted a cytotoxic effect on MCF7 cells very similar to that of the free DOX solution with the same doses of DOX loaded in the same emulsion. Therefore, the total biocompatibility/biodegradability, good drug entrapment, and high stability, as well as the prolonged release and anti-tumor efficacy maintenance of the loaded drug, suggest a feasible application of ginger powder-based Pickering emulsions for topical delivery as a selective therapeutic platform in targeted formulations of antineoplastic drugs. Full article

As a cornerstone of recoverable reserve prediction in water flooding projects, characteristic curve analysis has proven to be critical for reservoir management in the G Oilfield. This study introduces an enhanced methodology that significantly improves prediction accuracy through three key innovations: (1) development of a modified Type A curve with correction factor c to address early-stage nonlinear deviations, reducing prediction errors from 12.7% to 4.3% across 35 wells; (2) establishment of phase-specific model selection criteria demonstrating Type C curve superiority (>80% water cut) versus Zhang/Yu-type curves’ effectiveness in heterogeneous reservoirs (water cut ≥ 50%, errors < 5%); and (3) implementation of an integrated workflow incorporating linear segment optimization and economic threshold standardization. Field validation through 15-year production data (2008–2023) confirms <6% error in recovery factor predictions, significantly enhancing development strategy formulation. The technical framework provides novel insights into the water flooding curve theory while offering practical solutions for mature field management, particularly in complex continental reservoirs. Full article

We here present a novel and sensitive methodology for determining the melting point (MP) of Bovine Serum Albumin (BSA) from micromolar to picomolar concentration levels under label-free conditions. At 1 pM we could model the melting with a sharp Gaussian. However, from the transient state observed during the melting process by using a simple exponential decay model, we determined a time constant of 67 s. We applied this methodology by studying a 3.3 pM sample of a botulinum toxin A (BoNT-A) (stabilized with 2.8 nanomolar denatured Human Serum Albumin (HSA)). We were able to determine the Tm of BoNT-A in the presence of approximately 1000-fold more concentrated HSA. This method enables the detection of protein melting transitions at picomolar concentrations without the use of a fluorescence dye. Its sensitivity and simplicity make it a valuable analytical tool for studying protein stability in diluted pharmaceutical formulations. This method is useful for correlating thermal conformational changes with catalytic function. Full article

Bovine parainfluenza virus type 3 (BPIV3) is a significant pathogen implicated in bovine respiratory disease complex (BRDC), leading to lung tissue destruction, immunosuppression, and subsequent bacterial infections in cattle, hence incurring considerable economic losses globally. Notwithstanding its importance, a limited number of commercial vaccinations are presently accessible. The fusion (F) protein and hemagglutinin-neuraminidase (HN) protein, as protective antigens of the Paramyxoviridae family, can elicit neutralizing antibodies and are regarded as optimal candidates for the creation of genetically modified vaccines. A multi-epitope-based peptide vaccine (MEBPV) was developed by immunoinformatics methodologies by choosing epitopes from the F and HN proteins characterized by high antigenicity, moderate toxicity, and limited allergenic potential. The epitopes were combined with suitable linkers and adjuvants to produce the vaccine, whose physicochemical qualities, immunological attributes, solubility, and structural stability were improved and evaluated using computational methods. Molecular docking and molecular dynamics simulations demonstrated the strong potential binding affinity and stability of the vaccination with TLR2, TLR3, and especially TLR4 receptors. Immune simulations forecasted strong humoral and cellular responses, accompanied by a significant elevation in interferon-γ (IFN-γ) production. The vaccine sequence was later cloned into the pET-28a (+) vector for possible expression in Escherichia coli. Despite in silico predictions suggesting a favorable immunogenic potential, additional in vitro and in vivo studies are necessary to confirm its protective efficacy and safety. This research establishes a solid foundation for the creation of safe and efficacious subunit vaccines targeting BPIV3 and presents novel perspectives for the formulation of vaccinations against additional viral infections. Full article

The rapid growth of mobile data traffic poses significant challenges to ensuring high-quality service in wireless networks. Although the caching technique is capable of alleviating network congestion, most existing schemes depend on uncoded caching with prior knowledge of content popularity and ignore the time-scale mismatch between content dynamics and user mobility. To address these challenges, we first formulate a dynamic coded caching optimization framework under a dual time-scale model that simultaneously captures long-term content popularity evolution and short-term user mobility patterns. Then, we model the optimization problem as a Markov decision process and design a novel advantage actor–critic (A2C) based coded caching algorithm. By introducing the advantage function, the proposed approach can mitigate variance in policy updates and accelerate convergence under the caching capacity constraint. Finally, extensive simulations are conducted to demonstrate that our proposed algorithm significantly outperforms baseline caching schemes in terms of average delay cost. Full article

This study aimed to determine the antifungal activity of various compounds and develop a novel antifungal formulation against fungal pathogens, including Alternaria alternata, Botrytis cinerea, Penicillium expansum, and Rhizopus stolonifer. A total of 32 plant-derived secondary metabolites and three extracts (dichloromethane, ethyl acetate, and methanol) from Lawsonia inermis, Juglans regia, and Drosera intermedia were screened at a concentration of 250 ppm. The chemical composition of the D. intermedia ethyl acetate extract was characterized using chromatographic techniques. Subsequently, an emulsifiable concentrate formulation from this extract was prepared, and its efficacy was evaluated at concentrations ranging from 250 to 2000 ppm. The D. intermedia ethyl acetate extract was found to contain three flavonoids (1.4%) and three naphthoquinones (2.8%). The formulation exhibited optimal effect at 1000 ppm. Overall, the high efficacy of the formulation containing the dried D. intermedia extract (10:1, ethyl acetate) positions it as a promising and viable alternative to synthetic fungicides. Full article