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In this research, graphene oxide (GO) functionalized with tris(hydroxymethyl)aminomethane (T) was synthesized with a simple one-pot method, and applied as an electrode material for supercapacitors. Electrochemical measurements on the synthesized tris(hydroxymethyl)aminomethane-functionalized graphene oxide (GO@T) indicated a specific capacitance of 549.8 F g − 1 at a specific current of 2.5 A g − 1 and a specific capacitance of 358 F g −1 at a specific current of 7 A g − 1 in the potential range of − 0.5–0.5 V versus Ag/AgCl. It also showed a high cyclic stability. According to the results, 80 and 68% of the initial capacitance was retained after 5500 and 9300 cycles, respectively. Density functional theory calculations were used to investigate the quantum capacitance, free energy change during functionalization reaction, and the layer distance of GO and GO@T.

Background A bibliometric review of the biomedical literature could be essential in synthesizing evidence if thoroughly conducted and documented. Although very similar to review papers in nature, it slightly differs in synthesizing the data when it comes to providing a pile of evidence from different studies into a single document. This paper provides a preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO). Methods The BIBLIO was developed through two major processes: literature review and the consensus process. The BIBLIO started with a comprehensive review of publications on the conduct and reporting of bibliometric studies. The databases searched included PubMed, Scopus, Web of Sciences, and Cochrane Library. The process followed the general recommendations of the EQUATOR Network on how to develop a reporting guideline, of which one fundamental part is a consensus process. A panel of experts was invited to identify additional items and was asked to choose preferred options or suggest another item that should be included in the checklist. Finally, the checklist was completed based on the comments and responses of the panel members in four rounds. Results The BIBLIO includes 20 items as follows: title (2 items), abstract (1 item), introduction/background (2 items), methods (7 items), results (4 items), discussion (4 items). These should be described as a minimum requirements in reporting a bibliometric review. Conclusions The BIBLIO for the first time provides a preliminary guideline of its own kind. It is hoped that it could contribute to the transparent reporting of bibliometric reviews. The quality and utility of BIBILO remain to be investigated further.

It has been about 30 years since the first health literacy instrument was developed. This study aimed to review all existing instruments to summarize the current knowledge on the development of existing measurement instruments and their possible translation and validation in other languages different from the original languages. The review was conducted using PubMed, Web of Science, Scopus, and Google Scholar on all published papers on health literacy instrument development and psychometric properties in English biomedical journals from 1993 to the end of 2021. The findings were summarized and synthesized on several headings, including general instruments, condition specific health literacy instruments (disease & content), population- specific instruments, and electronic health. Overall, 4848 citations were retrieved. After removing duplicates (n = 2336) and non-related papers (n = 2175), 361 studies (162 papers introducing an instrument and 199 papers reporting translation and psychometric properties of an original instrument) were selected for the final review. The original instruments included 39 general health literacy instruments, 90 condition specific (disease or content) health literacy instruments, 22 population- specific instruments, and 11 electronic health literacy instruments. Almost all papers reported reliability and validity, and the findings indicated that most existing health literacy instruments benefit from some relatively good psychometric properties. This review highlighted that there were more than enough instruments for measuring health literacy. In addition, we found that a number of instruments did not report psychometric properties sufficiently. However, evidence suggest that well developed instruments and those reported adequate measures of validation could be helpful if appropriately selected based on objectives of a given study. Perhaps an authorized institution such as World Health Organization should take responsibility and provide a clear guideline for measuring health literacy as appropriate.

Health literacy and mental health are among the most important issues in the modern health and era of public health. This study aimed to investigate the association between health literacy and mental health status. This was a national cross-sectional study that was conducted in Iran. A sample of literate individuals aged 18–65 was entered into the study using multistage sampling. The data were collected by the Health Literacy Instrument for Adults (HELIA) and the 12-item General Health Questionnaire (GHQ-12). Logistic regression and path analysis were used for data analysis. A total of 20,571 individuals completed the questionnaires. The mean(± SD) age of participants was 34.9(± 11.8) years old, 51% were female, and 38.1% had higher education. The mean(± SD) health literacy score was 68.3(± 15.2), and 29.8% of the respondents reported some mental health problems. Logistic regression analysis showed that limited health literacy was associated with poor mental health status (OR 2.560, 95% CI 2.396–2.735, P = 0.001). The path analysis showed that an increase in health literacy could reduce psychological and social dysfunction (the effect of health literacy on reducing psychological distress is more profound). It is recommended to carry out interventions that strengthen adult’s cognitive and communication skills to improve their ability to access and use health information to make healthy choices.

This study aimed to measure the socio-demographic factors of happiness among young adults in Iran. A national cross-sectional study measures socio-demographic factors of happiness among a representative sample of young adults (20–39 years). The mean happiness score in all 13,173 samples was 4.09 out of 6. The results obtained from multiple logistic regression analysis showed a significant association between happiness, age, education, occupation, and income. In contrast, the association between happiness, gender, and the place of living was insignificant. Separate analyses for men and women showed that age, education, occupation, and income still stayed significant for men, but for women, only education, and income were significant. The results of the path analysis indicated that income was a predictor for happiness (ß = ± 0.09). However, the model explained about 1.5% of the variance observed (R 2  = 0.015). The findings were indicated that low income and unemployment make people feel unhappy. Indeed, improving economic situation and occupation status might be an effective measure to improve happiness among young adults.

Infrastructure maintenance is critical to ensuring public safety and the longevity of essential structures. Nondestructive Evaluation (NDE) techniques allow for infrastructure inspection without causing damage. Computer vision has emerged as a powerful tool in this domain, providing automated, efficient, and accurate solutions for defect detection, structural monitoring, and real-time analysis. This review explores the current state of computer vision in NDE, discussing key techniques, applications across various infrastructure types, and the integration of deep learning models such as convolutional neural networks (CNNs), vision transformers (ViTs), and hybrid models. The review also highlights challenges, including data availability and scalability. It proposes future research directions, including real-time monitoring and the integration of Artificial Intelligence (AI) with Internet of Things (IoT) devices for comprehensive inspections.

Health is one of the most important factors that affect happiness. This study aimed to assess the association between happiness and self-rated health among the Iranian adult population. This cross-sectional study was conducted on a sample of adults aged 18-65 In Iran in 2020. Demographic information, the Oxford Happiness Questionnaire, and a single item on self-rated health were used to collect the data. The relationship between happiness with demographic variables and self-rated health was examined by performing logistic regression analyses. In all, 19499 were studied (9845 males and 9654 females). The mean age of participants was 36.38± 8.17 years. The mean happiness score was 4.1± 0.57 (out of 6) and this for self-rated health was 3.66±1.2 (out of 5). The results obtained from logistic regression analysis showed that very poor health status (OR: 5.114, 95% CI, P = 4.490-5.824, p <0.001), poor or very poor income status (OR: 1.553, 95% CI, P = 1.406-1.716, p <0.001), unemployment (OR: 1.704, 95% CI, P = 1.432-2.029, p <0.001), being aged 25-34 years (OR: 1.190, 95% CI, P = 1.088-1.302, p <0.001), and years of education (OR for 10-12 years of education: 1.271, 95% CI = 1.174-1.377, p< 0.001) were significant contributing factors to a lower happiness. The results showed that self-rated health was the most significant factor that affected happiness even after adjustment for socioeconomic variables, including age, income, employment, and education. Indeed, improving population health might be an effective measure to improve happiness among Iranians.

Background Despite remarkable progress in contemporary medical technology and enhanced survival outcomes for various cancer types, pancreatic cancer (PC) continues to stand out as a particularly deadly gastrointestinal malignancy. Given a persistent rise in both incidence and the corresponding mortality rates of PC globally, evaluations of PC burden by sex are of great importance. Here, we used the illness‐death multi‐state model (IDM) to forecast the prevalence of PC through the year 2040. Methods IDM was established based on obtainable data to predict the future prevalence of PC on global, regional, and national scales from 2019 to 2040. Analyses were also performed regarding sex and 95% confidence intervals (CIs) are presented for all estimates. Results The projected prevalence rate for 2040 is anticipated to be 6.093 ([95% CI 5.47–6.786] per 100,000) worldwide, indicating a significant increase of 31.45% since 1990, and a 12.29% increase since 2019. The estimated average annual increase since 2020 was 0.5%. Considering sex differences, females are expected to have a steeper slope in prevalence rate than males. Intriguingly, when considering the percentage changes between the periods of 2019–2040 and 1990–2019 for both sexes, females exhibited 29% and 11% increase relative to males (2.6‐fold greater increase). Conclusions By 2040, it is predicted that the prevalence of PC will increase globally, with women being at higher risk of developing the disease. Considering the percentage changes, regions with lower socioeconomic status are anticipated to face a greater risk of experiencing PC compared to other geographical areas.

In the tumor microenvironment, macrophages polarize into the M2 phenotype to facilitate tumorigenesis. Tumor-derived exosomes can act as mediators between the tumor microenvironment and stromal cells by transporting proteins, mRNAs, and miRNAs. Exosomal miRNAs play a pivotal role in modulating tumor microenvironment and macrophage polarization. Here, we overexpressed miR-130 and miR-33 in exosomes of MDA-MB-231 cells and investigated their effect on macrophage polarization and tumor progression. For this purpose, exosomes were extracted from MDA-MB-231 cells and characterized using dynamic light scattering, electron microscopy, and western blotting of exosomal markers. Then, miR-130 or miR-33 containing exosomes were used to treat IL4-induced M2 or tumor-associated macrophages (TAMs). After treatment, the polarization status of macrophages, including the expression of M1 specific genes, and the secretion of cytokines were evaluated. Finally, the conditioned medium from exosome-treated macrophages was incubated with cancer cells to evaluate its effect on the migration and invasion ability of cancer cells and, in vivo experiments investigated the effect of exosome-treated macrophages on breast cancer progression. Exosomes characterization results approved the range of size and homogeneity of extracted exosomes. Overexpression of miR-130 and miR-33 in exosomes increased the expression of M1 signature genes (IRF5, MCP1, CD80) and secretion of cytokines (IL-1β and TNF-α) as well as yeast phagocytic activity of macrophages. Besides, the conditioned medium of macrophages treated with miRNA containing exosomes declined the migration and invasion ability of cancer cells. The in vivo results indicated the inhibitory effect of exosome-treated macrophages on tumor growth. Furthermore, the results showed that in response to exosome-treated macrophages, the production of TNF-α by spleen cells increased, while the production of IL-10 and TGF-β by these cells decreased. These findings suggest that overexpression of miR-130 and miR-33 in exosomes can decrease tumor progression by shifting macrophage polarization from M2 to M1 phenotype and can be a potential therapeutic strategy for tumor interventions. Graphic abstract

ObjectivesThe Bristol Stool Form Scale (BSFS) is the most widely used scale for stool form assessment. This study aimed to translate the BSFS into the Persian version and determine its content validity, face validity, and reliability.DesignFollowing permission, a forward–backward translation procedure was applied to translate the scale from English into Persian. A cross-sectional study was conducted on a sample of 210 participants from the general and gastrointestinal clinics of a teaching hospital affiliated with the Tehran University of Medical Sciences, Tehran, Iran, from January 2020 to August 2020. The samples were selected using convenience sampling. A group of 10 experts and 10 adults assessed content and face validity, respectively. The kappa index evaluated the reliability of the instruments.ResultsParticipants’ mean (±SD) age was 37.62 (±8.87) years. Most of the participants (65.7%) were women. The highest percentage of concordance was 100% for stool type 7, and stool type 5 had the lowest concordance percentage (78.1%). The overall kappa index was 0.79.ConclusionThe Persian version of the BSFS is a valid and reliable measure for assessing stool form, and now it can be used in research and clinical practice.