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Analyzing NSAIDS research trends: a six-year bibliometric study (2018-2023) on directions, themes, and dimensions
Full text linkThe commonly used class of pharmaceuticals known as nonsteroidal anti-inflammatory drugs (NSAIDs) has important effects on the treatment of pain and the decrease of inflammation. Medical progress and public health depend on an understanding of the patterns, areas of study, and effects of NSAIDs. To determine current research trends, this study uses Scopus to look up published articles on NSAIDs from 2018 to 2023. By emphasizing areas of increased interest and revealing gaps that could guide future study, bibliometric analysis allows us to get insights into the changing environment of NSAID research. With this strategy, new health issues are addressed, and the corpus of research is maintained to support educated medical practices. The most referenced articles, journal-related performance, trends in publishing and citation performance, and developing research cluster keywords were all analyzed in this study. The goals of the study were attained by using a bibliometric analysis that was directed by four research questions. Using Microsoft Excel, VOSviewer, and Harzing's Publish or Perish tools, the study first extracted information and examined keyword co-occurrence. To determine themes and dimensions from the keyword clusters found by VOSviewer, content analysis was also done. The findings revealed eleven new study term clusters on NSAIDS, such as: (a) 2020 had the highest number of NSAIDS citations, followed by 2019 and 2018. (b) In 2023, PLos One, Pharmaceutical, Chemosphere, and the Cochrane Database of Systematic Reviews published sixteen referenced journals on NSAIDS. (c) the top ten papers cited from 2018 to 2023, with 2020 having the most citations (782), (d) Ten clusters that emerged from the 42 NSAIDS-related titles, yielding ten dimensions (e.g., Optimized Pain Management; Therapeutic Expansion's Cardiovascular Safety; Changing Knowledge of NSAID Safety). As a result, suggestions are made for additional research to broaden and deepen this important area
Modeling and analysis of HIV/AIDS spread in Pakistan: role of optimal control and behavioral changes
No full textThis study presents a mathematical model to analyze the spread of HIV/AIDS in Pakistan using real data from 1992 to 2020. Initially developed without control measures, the model's dynamics were explored through stability analysis. We show that the disease-free equilibrium (DFE) is locally asymptotically stable when the basic reproduction number (BRN) R0<1, and globally asymptotically stable when R0≤1. The model also exhibits a unique endemic equilibrium with a forward bifurcation. Parameter estimation was performed using the nonlinear least squares method, yielding R0≈1.0119. Sensitivity analysis identified key parameters influencing disease spread. An optimal control model incorporating prevention, treatment acceleration, and awareness interventions was developed and solved using Pontryagin's Maximum Principle. Numerical simulations indicate that combined control strategies significantly reduce HIV transmission
Application of linear programming in the development of complementary feeding recommendations: a systematic review
No full textThe use of linear programming (LP) to develop complementary food recommendations (CFRs) is gaining interest due to its ability to produce low-cost population-specific food-based recommendations (FBRs). This review aimed to identify the components of LP models commonly used in developing CFRs and summarize the evidence on the use of LP-developed CFRs as an intervention strategy. The databases PubMed, Science Direct, Scopus, Cochrane Library, Web of Science, and Google Scholar were searched for relevant articles. LP was used in twenty-six studies to develop CFRs for young children and in three studies LP-developed CFRs were applied to improving complementary feeding. The objective function varied across studies, such as to maximize nutrient content, minimize cost, minimize deviation between observed and modeled diets, and minimize multiple nutrient deficiencies. All studies applied nutritional and acceptability constraints. Individual intervention studies showed that LP-developed CFRs can improve children’s nutrient intake and feeding practices, as well as mother’s nutrition knowledge. Various applications of LP have been used to develop optimal infant diets. However, LP-developed CFRs as a nutrition intervention strategy have been used in only a few studies. Further robust research is needed to test LP-developed CFRs
Test of a moderated mediation model of green team resilience
No full textOur paper assesses a moderated mediation model of green team resilience (GTR). Pointedly, it investigates: (a) the link between green ambidextrous leadership and GTR; (b) leaders’ green sense of humor as a mediator between green ambidextrous leadership and GTR; (c) market turbulence as a moderator of the impact of green ambidextrous leadership on GTR via green sense of humor. The abovementioned links were tested utilizing the partial least squares structural equation modeling on data collected from 372 hotel employees in Malaysia. The model proposed in our paper was viable. The results suggest that green exploitative and explorative leadership, as the two components of green ambidextrous leadership, foster GTR, and green sense of humor mediates said associations. More importantly, market turbulence strengthens the positive impact of green exploitative leadership on GTR via green sense of humor
Synthesis, photophysical characterization, and DSSC application of 3,6-carbazole-based incorporating fused dipyrrolo-phenazine substitution as novel auxiliary donors
No full textThree dyes, DPP-CAR, DPPT-CAR, and DPPF-CAR were designed and synthesized based on a 3,6-C₂V-shaped carbazole (CAR) donor system incorporating fused dipyrrolo-phenazine (DPP) units as auxiliary donors and cyano acrylic acid (CAA) as the acceptor unit. The tailoring DPP-CAR dye follows a (D)2-D-π-A framework, whereas (D-π)2-D-π-A was utilized for DPPT-CAR and DPPF-CAR, with thiophene and furan units as π-bridges, respectively. Through comprehensive spectroscopic studies such as 1H, 13C. NMR, mass spectrometry and elemental analysis, the molecular structures were confirmed. The impact of DPP, DPPT, and DPPF moieties on optical properties, energy levels, and structural characteristics of the 3,6-substituted carbazole was rigorously evaluated by applying density functional theory (DFT) and time-dependent density functional theory (TD-DFT) methodologies. Their photophysical properties revealed a good Ultraviolet–visible spectrophotometry (UV–Vis) absorption enhancement range of 480–508 nm compared to the reference (401 nm), which can be attributed to the strong intermolecular charge transfer (ICT) between the proposed donor and acceptor. Finally, the DSSC devices were manufactured utilizing DPP-CAR, DPPT-CAR, and DPPF-CAR-based sensitizers, TiO₂-based photoanodes, and electrolyte respectively, to achieve considerable power conversion efficiencies (PCE) of 5.59, 7.57, and 6.14 % respectively. Additionally, the charge regeneration and recombination resistances (Rrec) along with electron lifetime (τeff) were measured by utilizing electrochemical impedance spectroscopy (EIS). As a result of the dye anti-aggregation caused by the DPPT fragment, DPPT-CAR demonstrated higher τeff (27.74 ms) and Rrec (56.54 Ω) compared to the rest of the dyes. As such, this study establishes that the proposed 3,6-DPP, DPPT, DPPF substitutions significantly improves the performance and efficiency of dye-sensitized solar cells (DSSCs)
Spa social responsibility as a quality signal: building customer loyalty through ethical and sustainable practices
No full textDrawing on signaling theory and the Stimulus-Organism-Response (S-O-R) framework, the research examines how specific dimensions of social responsibility, such as eco-friendly products, sustainable design, waste management, and certification standards shape consumer perceptions. Using Generalized Structured Component Analysis with Measurement Errors (GSCAM) together with necessary condition analysis (NCA), the study identifies both sufficient and necessary spa social responsibility components that drive attitudinal and behavioral outcomes. Key findings reveal that certain sustainability practices are essential for forming positive attitudes, which, in turn, are critical for customer loyalty. Conversely, promotional logistics and cultural sustainability were found to be less influential or insufficient on their own. The results provide a comprehensive theoretical contribution to socially responsible signaling and offer practical insights for spa managers seeking to enhance competitiveness through authentic and strategically communicated social responsibility initiatives
A grounded theory study of audience emotional experience in Chinese web-based craftsmanship documentaries
Full text linkAmid globalization and modernization, maintaining national identity and folk culture has become a pressing issue. While web-based craftsmanship documentaries are rapidly emerging in the digital media environment, their role in shaping cultural identity remains underexplored. Using a procedural grounded theory approach, this study investigates nine viewers through semi-structured interviews, adopting theoretical sampling and constant comparison. Findings reveal five main emotional responses-empathy, enjoyment, pride, concern, and dissatisfaction-forming a progressive mechanism of emotion-cognition and reflection-cultural identity. These emotions not only reflect viewers’ complex perceptions of craftsmen and their skills but also resonate with personal memories and cultural experiences, fostering re-identification with tradition and reconstruction of cultural belonging. The study highlights documentaries as cultural learning devices that trigger emotions and activate memory to promote cultural identity reconstruction, enriching debates on media, culture, and identity. This framework extends cinematic emotion research by integrating cultural identity into the process of emotional generation and cognitive processing, offering a renewed perspective on digital documentary audiences
Effect of dibenzyl disulphide on partial discharge characteristics in mineral oil–impregnated cellulose pressboard
No full textThis study investigates the partial discharge (PD) characteristics of mineral oil-impregnated cellulose pressboard induced by dibenzyl disulphide (DBDS). Mineral oils with DBDS concentrations of 0 ppm, 1,000 ppm, 5,000 ppm, and 10,000 ppm were thermally aged at 150 °C for 5 days. PD measurements, which included apparent charge, PD repetition rate, and partial discharge inception voltage (PDIV), were performed using needle–plane and plane–plane electrode configurations at 10 mm and 20 mm gap distances. Phase–resolved partial discharge (PRPD) patterns were analysed to assess discharge intensity and phase distribution. Results show that under the needle–plane configuration, PDIV increases by up to 44.3% in pressboards aged with 5000 ppm DBDS at both gap distances. In contrast, under the plane–plane configuration, PDIV of pressboards aged in 1,000 ppm DBDS at both gap distances decreases by up to 56%. PRPD analysis reveals a transition from compact, peak-centred discharges (Type 3) to broad and scattered patterns (Type 6) that indicates progressive surface degradation driven by DBDS contamination
Fatty acid profile and bio-preservative efficacy of lactic acid bacteria postbiotics for improving microbiological safety in broiler meat
No full textPostbiotics derived from lactic acid bacteria (LAB) are promising natural antimicrobials due to their bioactive metabolites. This study evaluated their chemical composition and antimicrobial efficacy both in vitro and in vacuum-packaged broiler breast meat inoculated with meatborne pathogens during 10 days of storage. Postbiotics from Lactiplantibacillus plantarum (LP), Lactobacillus acidophilus (LA), and Lacticaseibacillus rhamnosus GG (LGG) were prepared by culturing LAB in MRS broth, followed by centrifugation and filtration, and subjected to GC-MS analysis. Neutralized postbiotics were used to obtain bacteriocin-like substances (BLS). Both postbiotics and BLS were tested against Escherichia coli, Salmonella Typhimurium, Staphylococcus aureus, and Bacillus cereus in an in vitro assay, while postbiotics were applied to the meat in a 1:5 ratio in the meat model. Principal component analysis demonstrated distinct strain-specific fatty acid profiles, with oleic acid driving separation among LAB-postbiotics. In vitro, BLS achieved peak inhibition within 4–12 h, reducing OD600nm of E. coli and Salm. Typhimurium by 40–50 % at 12 h, whereas postbiotics provided stronger early suppression, lowering these pathogens by 80–86 %, with the highest activity by LGG-postbiotics (86 %). In the model, untreated samples exhibited an increase in total mesophilic aerobic bacteria, Gram-negative, and Gram-positive pathogens from 6.91 to 9.26 log10 CFU/g, whereas postbiotic treatments reduced counts to 1.06–3.64, 1.41–4.36, and 0.93–3.30 log10 CFU/g, respectively, with higher concentrations more effective. LGG-postbiotics reduced Salm. Typhimurium in broiler meat compared to LA and LP. In conclusion, LAB-derived postbiotics, particularly LGG, could be used as natural preservative agents to improve microbiological safety in the broiler industry
Convergence of digital twins and food drying technology: how to bring the next generation of dryers to life!?
Full text linkDigital Twins technology is rapidly growing and has the potential to revolutionize traditional food-processing methods. However, their application in food-drying processes is still in its infancy. This study aimed to explore how Digital Twins can be applied to food drying process. Traditionally, food drying is performed under constant conditions, where air temperature and velocity remain constant. However, the literature review shows that variable drying conditions (trajectories) can improve both energy efficiency and product quality. The challenge is that the trajectories are calculated based on what happened in the process, not what is currently happening. Digital Twins address this shortcoming by enabling decision making based on real-time data. In this conceptual review paper, physiochemical parameters as an element of the physical world of a Digital Twins-based smart food dryer is first presented. Next, potential sensors for building a digital counterpart of the physiochemical parameters are discussed. This is followed by mathematical models, dynamic optimization, and advanced control, which are the core elements of a decision-making and control unit. Finally, future research needs are discussed. This conceptual review paper will guide and give a solid insight to academic researchers, companies, and other potential stakeholders on merging Digital Twins and food drying technologies