Search Results (109)

To combat the catastrophic effects of climate change, the usage of renewable energy sources (RESs) has increased dramatically in recent years. The main drivers of the increase in solar photovoltaic (PV) system grid integrations in recent years have been lowering energy costs and pollution. Active and reactive powers are controlled by a proportional–integral controller, whereas energy storage batteries improve the quality of energy by storing both current and voltage, which have an impact on steady-state error. Since traditional controllers are unable to maximize the energy output of solar systems, artificial intelligence (AI) is essential for enhancing the energy generation of PV systems under a variety of climatic conditions. Nevertheless, variations in the weather can have an impact on how well photovoltaic systems function. This paper presents an intelligent power management controller (IPMC) for obtaining power management with load and electric-vehicle applications. The architecture combines the solar PV, battery with electric-vehicle load, and grid system. Initially, the PV architecture is utilized to generate power from the irradiance. The generated power is utilized to compensate for the required load demand on the grid side. The remaining PV power generated is utilized to charge the batteries of electric vehicles. The power management of the PV is obtained by considering the proposed control strategy. The power management controller is a combination of the twisting sliding-mode controller (TSMC) and Modified Pufferfish Optimization Algorithm (MPOA). The proposed method is implemented, and the application results are matched with the Mountain Gazelle Optimizer (MSO) and Beluga Whale Optimization (BWO) Algorithm by evaluating the PV power output, EV power, battery-power and battery-energy utilization, grid power, and grid price to show the merits of the proposed work. Full article

Despite current vaccines and therapeutics targeting SARS-CoV-2, the causative agent of the COVID-19 pandemic, cases remain high causing a burden on health care systems. Spike-protein mediated membrane fusion of SARS-CoV-2 is a critical step in viral entry. Herein, we describe entry inhibitors identified by first screening a library of about 160 compounds and then analogue synthesis. Specifically, compound 261 was found to inhibit SARS-CoV-2 infection in a tissue model with IC₅₀ of 0.3 µM. Using NMR, we found that 261 interacts with key residues in the aromatic-rich region of the spike protein directly next to the transmembrane domain. Molecular dynamic simulations of the 261 binding pocket in the spike protein was also mapped to the transmembrane domain, consistent with NMR findings. The amino acids in the binding site are conserved among different coronaviruses known to infect humans; therefore, inhibitors targeting this conserved binding site could be a useful addition to current therapeutics and may have pan-coronavirus antiviral activities. Full article

Quantum-dot cellular automata (QCA) offer a high-performance, low-power alternative to traditional VLSI technology for nanocomputing. However, the existing metal-dot QCA-based parity generators and checker circuits suffer from increased energy dissipation, larger area consumption, and complex multilayered layouts, limiting their practical feasibility. This work designs a 3-bit parity generator and 4-bit checker to address these challenges using an optimized modified majority voter-based Ex-OR gate in QCA. A single-layered layout was simulated in QCADesigner 2.0.3, avoiding crossovers to reduce fabrication complexity. Energy analysis using QCADesigner-E reveals 34.4 meV energy consumption, achieving 31% energy efficiency and 75% area efficiency in the context of QCA costs compared to recent designs. The proposed circuit highlights the unique potential of QCA as a scalable, energy-efficient solution for high-density next-generation computing systems. Full article

In the digital age, investing in e-gold is increasing in popularity. This study’s objective is to assess the moderating role of dispositional innovativeness between fintech adoption and the intention to invest in e-gold, as well as to understand investors’ behavioral intentions. This study uses the theory of planned behavior model to analyze the data. We prepared a structured questionnaire to collect data from Maharashtra, a state in India, and used PLS-SEM for analytical purposes. We also used focus group interviews to validate the findings from PLS-SEM. Our evidence shows that attitude, subjective norms, and perceived behavioral control significantly impact fintech adoption and the intention to invest in e-gold. This study also confirmed that dispositional innovativeness moderates the relationship between fintech adoption and the intention to invest in e-gold. This study implies that policymakers can redesign the regulation of digital assets to promote transparency, security, and faith in the fintech platform by recognizing the interest rate in e-gold. Full article

Chronic obstructive pulmonary disease (COPD) is a chronic, debilitating condition that affects the lungs and airways. It is characterized by persistent bronchitis, a condition exemplified by the inflammation of the bronchial tubes, the hypersecretion of mucus, emphysema, and the destruction of the airway parenchyma. The combination of these conditions leads to persistent tissue damage, pulmonary fibrosis, and ongoing inflammation of the airways. The inflammatory response in COPD is a complex process that is orchestrated by a wide range of immune cells. These include lung epithelial cells, monocytes, macrophages, neutrophils, eosinophils, and T and B lymphocytes, among others. These cells work together to produce a wide range of inflammatory biomarkers that are involved in the pathogenesis of COPD. Some of the key inflammatory biomarkers that have been identified in COPD include a variety of cytokines, the C-reactive protein/serum albumin ratio, fibrinogen, soluble receptor for advanced glycation endproducts, club/clara cells in the lungs with a molecular weight of 16 kDa, surfactant protein D, adiponectin, reactive oxygen species, and proteases. This review aims to provide a comprehensive overview of the role of immune cells and key inflammatory biomarkers in the development and progression of COPD. It will delve into the intricacies of the inflammatory response in COPD, exploring the various cell types and biomarkers that are involved in this process. By understanding the underlying mechanisms that drive COPD, we can better develop targeted treatments that can help to alleviate the symptoms of COPD. Full article

This study explores the microwave (MW) drying of Melia dubia wood, with a comprehensive approach that addresses various facets. The primary objectives were to examine drying behavior and the evaluation of drying defects. The drying rates for various treatments were calculated both above and below the Fiber Saturation Point (FSP). The most optimal treatment, characterized by minimal defects, exhibited a drying rate of 0.4 g/min above FSP, 0.29 g/min below FSP, and an overall drying rate of 0.35 g/min. There were no observable drying-induced defects in the dried wood, suggesting a promising aspect of MW drying. Static bending and compression tests parallel to the grain were carried out to analyze the impact of MW drying on the mechanical properties. MW-dried wood exhibited reductions of 7 ± 3%, 10 ± 2%, and 9 ± 2% in the modulus of elasticity (MOE), modulus of rupture (MOR), and maximum compressive strength (MCS), respectively. The decline in mechanical properties may be attributed to the micro-cracks or damage in its microstructures. These findings emphasize the need for a balanced approach in optimizing MW drying methods to mitigate the reduction in mechanical properties while capitalizing on the advantages of reduced drying time and uniform drying. Full article

The growing environmental impact of textile waste, fueled by the rapid rise in global fiber production, underscores the urgent need for sustainable end-of-life solutions. This review explores cutting-edge pathways for textile waste management, spotlighting innovations that reduce reliance on incineration and landfilling while driving material circularity. It highlights advancements in collection, sorting, and pretreatment technologies, as well as both established and emerging recycling methods. Smart collection systems utilizing tags and sensors show great promise in streamlining logistics by automating pick-up routes and transactions. For sorting, automated technologies like near-infrared and hyperspectral imaging lead the way in accurate and scalable fiber separation. Automated disassembly techniques are effective at removing problematic elements, though other pretreatments, such as color and finish removal, still need to be customized for specific waste streams. Mechanical fiber recycling is ideal for textiles with strong mechanical properties but has limitations, particularly with blended fabrics, and cannot be repeated endlessly. Polymer recycling—through melting or dissolving waste polymers—produces higher-quality recycled materials but comes with high energy and solvent demands. Chemical recycling, especially solvolysis and pyrolysis, excels at breaking down synthetic polymers like polyester, with the potential to yield virgin-quality monomers. Meanwhile, biological methods, though still in their infancy, show promise for recycling natural fibers like cotton and wool. When other methods are not viable, gasification can be used to convert waste into synthesis gas. The review concludes that the future of sustainable textile recycling hinges on integrating automated sorting systems and advancing solvent-based and chemical recycling technologies. These innovations, supported by eco-design principles, progressive policies, and industry collaboration, are essential to building a resilient, circular textile economy. Full article

Background/Objectives: This study evaluates the potential of electroencephalography (EEG) as a noninvasive tool for distinguishing between healthy individuals (n = 79), those with mild cognitive impairment (MCI; n = 36), and dementia patients (n = 7). Methods: Using a 14-channel Emotiv EPOC-X headset, we analyzed power spectral density during a 2-min eyes-closed resting state. Results: Our results demonstrated that while EEG effectively differentiated dementia patients from healthy controls, it did not show significant differences between MCI and healthy controls. This indicates that EEG holds promise for identifying advanced cognitive decline but faces challenges in early-stage detection. Conclusions: The study contributes to the growing body of literature by highlighting EEG’s potential as a cost-effective alternative to invasive diagnostic methods while also identifying the need for larger sample sizes and task-oriented approaches to improve its diagnostic precision. Full article

Purpose: refractive surgery, such as LASIK and SMILE, induces a wound healing response that leads to significant corneal stromal remodeling. We have shown that the protein profile in the stroma changes dramatically immediately post-surgery. However, the methylation status of the DNA post-refractive surgery remains unknown. Design/Participants: DNA methylation study. Refractive surgery (SMILE/LASIK) performed on donor eye globes. Method: we investigated the epigenetic changes post-surgery in relation to long term ECM remodeling in an experimental ex vivo study design. Donor globes (n = 19) were obtained from the eye bank. Three globes served as non-surgical controls while SMILE (-6DS) and LASIK surgery (-6DS) were performed on eight globes each and incubated for 3 days and 2 weeks (n = 4 per group per time point). Here, we compared the DNA methylation landscapes of LASIK and SMILE stroma using the Illumina Infinium Human Methylation 850 EPIC array (HM850). Results: significant changes in DNA methylation patterns were observed post-operatively in both LASIK and SMILE groups. Specific genes involved in the activation of actin cytoskeleton and inflammation (smad3, prkca and ssh2) showed hypomethylation in LASIK after 2 weeks and LASIK SMILE after 3 days, respectively, suggesting their active role in corneal repair. The genes (gaa, gstm1, mgat1, galnt9 and galnt5) involved in sphingolipid metabolism and mucin biosynthesis showed hypomethylation in SMILE after 3 days. Conclusions: our results suggest that altered DNA methylation patterns may have relevance to the development of complications of haze post-refractive surgery. It also presents the opportunity to utilize drugs that regulate chromatin remodeling for optimal outcomes. Full article

Polycystic ovary syndrome (PCOS) is one of the most prevalent endocrine disorders among reproductive-aged women. It is characterized by hyperandrogenism, anovulation, and polycystic ovaries. Lifestyle changes are suggested as first-line interventions in managing PCOS. This systematic review aims to assess the scientific evidence regarding the role of lifestyle modifications (dietary changes, physical activity, and behavioral changes) in improving reproductive, anthropometric, metabolic, and psychological outcomes in women with PCOS. Dietary interventions such as foods with low glycemic index scores; caloric restrictions; high-fiber, omega three fatty acid-rich diets; ketogenic diets; Mediterranean diets; antioxidant-rich food; and anti-inflammatory diets improve insulin sensitivity and hormonal balance in women with PCOS. Physical activity, like aerobic and resistance exercise, enhances insulin sensitivity, helps weight loss, and improves metabolic and reproductive outcomes in women with PCOS. Further, behavioral and education modules can also be used to improve awareness, adherence, and the effectiveness of conventional treatment and to manage mental health issues related to PCOS. Collectively, lifestyle modifications not only improve the biochemical, hormonal, and anthropometric parameters in PCOS patients but also reduce the long-term risks of metabolic and cardiovascular diseases. Full article

This study analyzes the calculation of the critical current density J_c,mag by means of Bean’s critical state model, using the equation formulated by Gyorgy et al. and other similar equations derived from it reported in the literature. While estimations of J_c,mag using Bean’s model are widely performed, improper use of different equations with different magnetic units and pre-factors leads to confusion and to significant errors in the reported values of J_c,mag. In this work, a SINGLE general equation is proposed for the calculation of J_c,mag for a rectangular parallelepiped sample in perpendicular field using Bean’s critical state model, underlying how the simple conversion of magnetic units can lead to a J_c,mag in the desired units, without the need to introduce any other correction or use other specific equations depending on the units of J_c,mag. In this equation, the numerical pre-factor is dimensionless, independent of the unit system used. A comparison between the expression reported in the literature is done, showing how they can lead to different results depending on the used units, and that these results can be at least one order of magnitude different from the correct results obtained with the general equation proposed in this work. This resolves all ambiguities and aligns with the correct dimensional analysis, eliminates discrepancies in the calculated J_c,mag, and will avoid further propagation of errors in the literature. Full article

Apera spica-venti, a prevalent weed in Czech winter wheat fields, has developed resistance to ALS-inhibiting herbicides due to their frequent use. This study reports a biotype of A. spica-venti resistant to pyroxsulam, with cross and multiple resistance to iodosulfuron, propoxycarbazone, pinoxaden, and chlortoluron. Dose–response experiments revealed high resistance of both R1 and R2 biotypes to pyroxsulam, with resistance factors (RF) of 6.69 and 141.65, respectively. Pre-treatment with malathion reduced RF by 2.40× and 1.25× in R1 and R2, indicating the potential involvement of cytochrome P450 (CytP450). NBD-Cl pre-treatment decreased RF only in R2, suggesting possible GST involvement. Gene analysis revealed no mutations (at previously reported sites) or overexpression in the acetolactate synthase (ALS) gene. However, a significant difference in ALS enzyme activity between resistant and susceptible biotypes points to target-site resistance mechanisms. Studies with ¹⁴C-labeled pyroxsulam showed that reduced absorption and translocation were not likely resistance mechanisms. In summary, herbicide resistance in A. spica-venti appears to result from multiple mechanisms. Possible causes include target-site resistance from an unidentified ALS mutation (within coding or regulatory regions). Enhanced herbicide metabolism via CytP450s and GSTs is also a contributing factor. Further experimental validation is needed to confirm these mechanisms and fully understand the resistance. This evolution underscores the adaptive capacity of weed populations under herbicide pressure, emphasizing the need for alternative control strategies. Full article

Acute respiratory infections (ARIs) are a leading cause of death in children under five globally. The seasonal trends and profiles of respiratory viruses vary by region and season. Due to limited information and the population’s vulnerability, we conducted the hospital-based surveillance of respiratory viruses in Eastern Uttar Pradesh. Throat and nasal swabs were collected from outpatients and inpatients in the Department of Paediatrics, Baba Raghav Das (BRD) Medical College, Gorakhpur, between May 2022 and April 2023. A total of 943 samples from children aged 1 to 60 months were tested using multiplex real-time PCR for respiratory viruses in cases of ARI and SARI. Out of 943 samples tested, the highest positivity was found for parainfluenza virus [105 (11.13%) PIV-1 (79), PIV-2 (18), PIV-4 (18)], followed by adenovirus [82 (8.7%), RSV-B, [68 (7.21%)], influenza-A [46(4.9%): H1N1 = 29, H3N2 = 14), SARS CoV-2 [28 (3%)], hMPV [13(1.4%), RSV-A [4 (0.42%), and influenza-B (Victoria lineage) 1 (0.10%). The maximum positivity of respiratory viruses was seen in children between 1 to 12 months. The wide variation in prevalence of these respiratory viruses was seen in different seasons. This study enhances understanding of the seasonal and clinical trends of respiratory virus circulation and co-infections in Eastern Uttar Pradesh. The findings highlight the importance of targeted interventions to reduce the burden of respiratory infections in this region. Full article

This study examines the microstructure, crystallographic texture evolution, and mechanical properties of stainless steel 316L fabricated through electron beam melting using a stochastic scan strategy at a preheat temperature of 1123 K. X-ray diffraction confirmed the presence of a pure austenitic phase in the fabricated material. Equiaxed cellular structures were observed in the center of the melt pool regions and elongated cellular structures observed at the melt pool overlap regions. A finite element-based numerical model was employed to estimate the thermal gradients and solidification rates within the melt pool of an electron beam spot. Microstructural analysis indicated a generation of columnar grains from the bottom to the top of the build owing to high thermal gradients. A crystallographic texture investigation showed a generation of strong <110> fiber texture along the build direction of the material and reported that the stress distributions within the melt pool led to a strong crystallographic texture driven by the stress evolution observed from thermokinetic computational modelling of the electron beam-melting process. Mechanical properties were assessed using profilometry-based indentation plastometry, demonstrating strain hardening at a high temperature of 773 K. Full article

Hypoxia is a crucial factor in tumor biology, affecting various solid tumors to different extents. Its influence spans both early and advanced stages of cancer, altering cellular functions and promoting resistance to therapy. Hypoxia reduces the effectiveness of radiotherapy, chemotherapy, and immunotherapy, making it a target for improving therapeutic outcomes. Despite extensive research, gaps persist, necessitating the exploration of new chemical and pharmacological interventions to modulate hypoxia-related pathways. This review discusses the complex pathways involved in hypoxia and the associated pharmacotherapies, highlighting the limitations of current treatments. It emphasizes the potential of nanoparticle-based platforms for delivering anti-hypoxic agents, particularly oxygen (O₂), to the tumor microenvironment. Combining anti-hypoxic drugs with conventional cancer therapies shows promise in enhancing remission rates. The intricate relationship between hypoxia and tumor progression necessitates novel therapeutic strategies. Nanoparticle-based delivery systems can significantly improve cancer treatment efficacy by targeting hypoxia-associated pathways. The synergistic effects of combined therapies underscore the importance of multimodal approaches in overcoming hypoxia-mediated resistance. Continued research and innovation in this area hold great potential for advancing cancer therapy and improving patient outcomes. Full article