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Background The short-term actions generated by the proposed SDGs by the United Nations promote sustainability and raise the probability of finding the best global crisis solution. This research builds on previous studies that demonstrate the interconnectedness and reciprocal support of Goals 3 and 12 in their pursuit of societal transformation by altering production and consumption patterns.Focus of the Article This study set out to fill a knowledge need by examining the current state of the literature on the topic of how SDGs interact with one another. The paper primarily addressed SDGs 3 and 12.Research Question (a) How could green behaviour promote sustainable health, and what is the present status of research in this field across nations, research communities, academic journals, and professional organizations? (b) How, with research topic as the key domain, can we make progress towards Sustainable Development Goals 3 and 12 through the social marketing?.Importance to the Social Marketing Field The purpose of this paper is to provide a plan for bringing about societal transformation by means of sustained, short-term efforts in the realms of production and consumption, undertaken with the backing of the nation’s stakeholders. Doing so makes long-term success in altering health-related behaviours (prevention, protection, and persistence in the face of health hazards) more likely. Despite their best efforts to enhance the well-being of societies through social transformation, the authors believe that social marketers may be steering communities in an unsustainable direction.Method Thus, a systematic review and bibliometric analysis were conducted to ascertain the breadth of the research underlying the title by analyzing 135 Scopus publications from 74 journals from 2011–2022 and graphically presented and tabulated the trends, important authors, nations, research papers, and keyword co-occurrences. Biblioshiny, a Bibliometrix R-tool used for the purpose of scientific mapping. In addition, the alignment of study of keywords by taking social marketing discipline into account was justified through systematic review.Results Research on the interplay between SDGs and other factors is required, as 27% of the data remains unexplained. Short-term sustainable behaviours that may enhance health outcomes are combined in this study to better inform policymakers and marketers about consumers’ long-term commitment to sustainable green consumption.Recommendations for Research According to the study’s results, government agencies should create social marketing initiatives to influence the public’s behaviour and promote the health and well-being benefits associated with sustainable production and consumption. Additionally, they should provide incentives to businesses to expand their range of sustainable commodities. Businesses have a shared responsibility to develop, communicate and supply customers with the advantages of sustainable offerings, and enhance the demand for these products through a green marketing approach while reducing their prices. The ecosystem as a whole will reap the benefits of everyone’s efforts, as well as the health and happiness that comes with it.Limitations From 2011 through 2022, the Scopus database’s articles and review papers were used in the study. Additional knowledge in this area might be gained from a comparison of databases like Web of Science, Dimensions, Google Scholar, etc. The study had no geographic focus. Therefore, future research should assess this field’s national and regional potential.

Pancreatic cancer patients predominantly present with advanced disease at diagnosis, contributing to its high mortality. A noninvasive, fast screening method to detect this disease is an unmet need. Tumor-derived extracellular vesicles (tdEVs) bearing information from parental cells have emerged as a promising cancer diagnostic biomarker. However, most tdEV-based assays have impractical sample volumes and time-consuming, complex, and costly techniques. To overcome these limitations, we developed a novel diagnostic method for pancreatic cancer screening. Our approach utilizes the mitochondrial DNA to nuclear DNA ratio of EVs as a collective cell-specific characteristic. We introduce EvIPqPCR, a fast method that combines immunoprecipitation (IP) and qPCR quantification to detect tumor-derived EVs directly from serum. Importantly, our method employs DNA isolation-free and duplexing probes for qPCR, saving at least 3 h. This technique has the potential to serve as a translational assay for cancer screening with a weak correlation to prognosis biomarkers and sufficient discriminatory power among healthy controls, pancreatitis, and pancreatic cancer cases.

Gutka, a form of smokeless tobacco, is widely used in the Indian subcontinent and in other regions of South Asia. Smokeless tobacco exposure is most likely to increase the incidence of oral cancer in the Indian population, and metabolic changes are a hallmark of cancer. The development of biomarkers for early detection and better prevention measures for smokeless tobacco users at risk of oral cancer can be aided by studying urinary metabolomics and offering insight into altered metabolic profiles. This study aimed to investigate urine metabolic alterations among smokeless tobacco users using targeted LC-ESI-MS/MS metabolomics approaches to better understand the effects of smokeless tobacco on human metabolism. Smokeless tobacco users’ specific urinary metabolomics signatures were extracted using univariate, multivariate analysis and machine learning methods. Statistical analysis identified 30 urine metabolites significantly associated with metabolomic alterations in humans who chew smokeless tobacco. Receiver operator characteristic (ROC) curve analysis evidenced the 5 most discriminatory metabolites from each approach that could differentiate between smokeless tobacco users and controls with higher sensitivity and specificity. An analysis of multiple-metabolite machine learning models and single-metabolite ROC curves revealed discriminatory metabolites capable of distinguishing smokeless tobacco users from nonusers more effectively with higher sensitivity and specificity. Furthermore, metabolic pathway analysis depicted several dysregulated pathways in smokeless tobacco users, including arginine biosynthesis, beta-alanine metabolism, TCA cycle, etc. This study devised a novel strategy to identify exposure biomarkers among smokeless tobacco users by combining metabolomics and machine learning algorithms.

In this study, an analytical investigation of convective heat transfer and entropy generation analysis of flow of micropolar fluid is presented. The infinite channel is assumed to be saturated with porous material and the walls are maintained at different constant temperatures. The Eringen thermo-micro-polar material model is used to simulate the rheological flow in the channel. The fluid is assumed to be gray, absorbing, emitting but non-scattering medium, and the Rosseland’s approximation is utilized to simulate the radiative heat flux component of heat transfer in energy transport equation. The resulting governing equations are then solved under physically viable boundary conditions at the channel walls using the Adomian decomposition method. The influences of emerging thermophysical parameters are addressed through graphs. The computations show that the increase in the Grashof number and radiation parameter causes to increase the entropy generation. Further, the effect of viscous dissipation was taken into account since it significantly affects heat transfer and entropy generation characteristics and cannot be ignored.

This paper studies the effects of combined buoyancy forces, thermal radiation, chemical reaction, velocity slip, magnetic field and porous medium permeability on unsteady mixed convection flow of electrically conducting fluid past a stretching sheet embedded in a porous medium. Appropriate governing equations are procured and also reduced to set of nonlinear coupled ordinary differential equations by means of suitable similarity transformations. The boundary valued problem is numerically tackled using the fourth-fifth order Runge-Kutta-Fehlberg integration approach with shooting outline. Various controlling parameters effects on the fluid velocity, temperature and kinds concentration profiles together with local skin friction, Nusselt number and Sherwood number are presented diagrammatically and deliberated upon quantitatively. It is found that buoyancy forces increment enhance both heat and mass transfer rate while thermal and concentration boundary layer denseness diminished.

The biologically interesting quinoline skeleton is readily available in good to excellent yield and functional groups including halogens remain unaffected.