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The International Roughness Index (IRI) is the one of the most important roughness indexes to quantify road surface roughness. In this paper, we propose a new hybrid approach between adaptive network based fuzzy inference system (ANFIS) and various meta-heuristic optimizations such as the genetic algorithm (GA), particle swarm optimization (PSO), and the firefly algorithm (FA) to develop several hybrid models namely GA based ANGIS (GANFIS), PSO based ANFIS (PSOANFIS), FA based ANFIS (FAANFIS), respectively, for the prediction of the IRI. A benchmark model named artificial neural networks (ANN) was also used to compare with those hybrid models. To do this, a total of 2811 samples in the case study of the north of Vietnam (Northwest region, Northeast region, and the Red River Delta Area) within the scope of management of the DRM-I Department were used to validate the models in terms of various criteria like coefficient of determination (R) and the root mean square error (RMSE). Experimental results affirmed the potentiality and effectiveness of the proposed prediction models whereas the PSOANFIS (RMSE = 0.145 and R = 0.888) is better than the other models named GANFIS (RMSE = 0.155 and R = 0.872), FAANFIS (RMSE = 0.170 and R = 0.849), and ANN (RMSE = 0.186 and R = 0.804). The results of this study are helpful for accurate prediction of the IRI for evaluation of quality of road surface roughness.

Breast cancer remains the most common malignancy worldwide and the leading cause of cancer-related mortality. Recently, extracellular vesicles (EVs) derived from adipose tissue-derived stem cells (ADSCs) have attracted increasing attention for their potential to modulate inflammatory signaling and influence tumor cell behavior. This in vitro study was designed to investigate the effects of ADSC-EVs on MCF-7 breast cancer cells. EVs were isolated from ADSC culture supernatants and applied to MCF-7 cells at concentrations ranging from 0 to 80% (v/v). Cell viability, migration, and expression of IL-6/STAT3 pathway-related genes were evaluated using MTT, scratch assays, and qRT-PCR. Statistical analysis was performed using one-way ANOVA followed by Tukey’s post hoc test, with significance set at p < 0.05. The results showed that 20% EV treatment markedly inhibited MCF-7 cell activity, significantly reducing viability and almost completely blocking migration, with wound closure rates of 35.4% ± 3.80 at 24 h and 47.6% ± 4.2 at 48 h, compared with 48% ± 4.6 and 67% ± 4.2 in the control group, respectively. Notably, expression levels of IL-6, IL-6RST, and STAT3 were significantly downregulated (fold changes 0.155 ± 0.02 and 0.258 ± 0.012, p < 0.01), accompanied by severe disruption of the microtubule network. Immunofluorescence imaging revealed a disorganized microtubule architecture and irregular filament distribution in EV-treated cells, corresponding with decreased expression of TubA1 and CALR genes. These findings indicate that ADSC-EVs not only suppress IL-6/STAT3 inflammatory signaling but also destabilize the intracellular microtubule system, collectively contributing to the inhibition of MCF-7 breast cancer cell migration and survival. This provides an important molecular basis for developing novel EV-based therapeutic strategies in breast cancer treatment.

Background Internet addiction (IA) is a common problem found in young Asians. This study aimed to study the influence of IA and online activities on health-related quality of life (HRQOL) in young Vietnamese. This study also compared the frequencies of anxiety, depression and other addiction of young Vietnamese with and without IA. Methods This study recruited 566 young Vietnamese (56.7% female, 43.3% male) ranging from 15 to 25 years of age via the respondent-driven sampling technique. Chi-squared, t -test and analysis of variance were used to compare young Vietnamese with and without IA. Regression analyses were used to examine the association between internet usage characteristics and HRQOL. Results Results from this cross-sectional study showed that 21.2% of participants suffered from IA. Online relationship demonstrated significantly higher influences on behaviors and lifestyles in participants with IA than those without IA. Participants with IA were more likely to have problems with self-care, difficulty in performing daily routine, suffer from pain and discomfort, anxiety and depression. Contrary to previous studies, we found that there were no differences in gender, sociodemographic, the number of participants with cigarette smoking, water-pipe smoking and alcohol dependence between the IA and non-IA groups. IA was significantly associated with poor HRQOL in young Vietnamese. Conclusion IA is a common problem among young Vietnamese and the prevalence of IA is the highest as compared to other Asian countries. Our findings suggest that gender may not play a key role in IA. This can be an emerging trend when both genders have equal access to the internet. By studying the impact of IA on HRQOL, healthcare professionals can design effective intervention to alleviate the negative consequences of IA in Vietnam.

This study assessed the knowledge and attitude toward palliative care for the elderly among health professionals in a tertiary geriatric hospital in Vietnam and explored their determinants. Cross-sectional data were obtained on 161 geriatric health professionals at the National Geriatric Hospital. Modified-Palliative Care Knowledge Test and Frommelt Attitudes Toward Care of the Dying instruments were used to measure knowledge and attitude toward geriatric palliative care. As a result, 40.5% physicians and 74.2% nurses showed insufficient knowledge about geriatric palliative care (p < 0.05). The lowest score was for dyspnea, following by gastrointestinal and pain problems. No significant difference was found regarding the attitude between physicians and nurses (p > 0.05). Health professional category, age, and years of experience were found to be associated with knowledge about palliative care. Meanwhile, only knowledge score had correlations with total attitude score (Coef. = 0.2; 95%CI = 0.1–0.3), attitude toward patients (Coef. = 0.1; 95%CI = 0.0–0.1) and toward patients’ family (Coef. = 0.1; 95%CI = 0.0–0.1). This study highlights a significant knowledge gap and preferable attitude toward palliative care for the elderly among physicians and nurses in the geriatric hospital. Intensive training about geriatric palliative care, focusing on pain, dyspnea and gastrointestinal issue management, should be performed to ensure the quality of palliative care services, especially in nurses.

Child maltreatment remains a major health threat globally that requires the understanding of socioeconomic and cultural contexts to craft effective interventions. However, little is known about research agendas globally and the development of knowledge-producing networks in this field of study. This study aims to explore the bibliometric overview on child maltreatment publications to understand their growth from 1916 to 2018. Data from the Web of Science Core Collection were collected in May 2018. Only research articles and reviews written in the English language were included, with no restrictions by publication date. We analyzed publication years, number of papers, journals, authors, keywords and countries, and presented the countries collaboration and co-occurrence keywords analysis. From 1916 to 2018, 47,090 papers (53.0% in 2010–2018) were published in 9442 journals. Child Abuse & Neglect (2576 papers; 5.5%); Children and Youth Services Review (1130 papers; 2.4%) and Pediatrics (793 papers, 1.7%) published the most papers. The most common research areas were Psychology (16,049 papers, 34.1%), Family Studies (8225 papers, 17.5%), and Social Work (7367 papers, 15.6%). Among 192 countries with research publications, the most prolific countries were the United States (26,367 papers), England (4676 papers), Canada (3282 papers) and Australia (2664 papers). We identified 17 authors who had more than 60 scientific items. The most cited papers (with at least 600 citations) were published in 29 journals, headed by the Journal of the American Medical Association (JAMA) (7 papers) and the Lancet (5 papers). This overview of global research in child maltreatment indicated an increasing trend in this topic, with the world’s leading centers located in the Western countries led by the United States. We called for interdisciplinary research approaches to evaluating and intervening on child maltreatment, with a focus on low-middle income countries (LMICs) settings and specific contexts.

Background: Childhood obesity has become a major global epidemic that causes substantial social and health burdens worldwide. The effectiveness of childhood obesity control and prevention depends largely on understanding the issue, including its current development and associated factors in a contextualized perspective. Objectives: Our study aimed to gauge this kind of understanding. Methods: We systematically searched the Web of Science database for studies concerning child obesity published up to 2017 and analyzed the volume of publications, growth rates, impact scores, collaborations, authors, affiliations, and journals. A total of 57,444 research papers were included. Results: The three subject categories with the highest number of papers (over 3,000) were (1) nutrition and dietetics, (2) pediatrics, and (3) public, environmental, and occupational health. We found a dramatic increase in the amount of scientific literature on childhood obesity in the past one or two decades, led by scholars from the USA – ranking at the top regarding the total number of papers (23,965 papers; 30.8%) and total number of citations (859,793 citations) – and multiple Western countries where the obesity epidemic is prevalent. Conclusions: The findings highlight the need for improving international and local research capacities and collaboration to accelerate knowledge production and translation into contextualized and effective childhood obesity prevention.

The main objective of this study is to develop and compare hybrid Artificial Intelligence (AI) approaches, namely Adaptive Network-based Fuzzy Inference System (ANFIS) optimized by Genetic Algorithm (GAANFIS) and Particle Swarm Optimization (PSOANFIS) and Support Vector Machine (SVM) for predicting the Marshall Stability (MS) of Stone Matrix Asphalt (SMA) materials. Other important properties of the SMA, namely Marshall Flow (MF) and Marshall Quotient (MQ) were also predicted using the best model found. With that goal, the SMA samples were fabricated in a local laboratory and used to generate datasets for the modeling. The considered input parameters were coarse and fine aggregates, bitumen content and cellulose. The predicted targets were Marshall Parameters such as MS, MF and MQ. Models performance assessment was evaluated thanks to criteria such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and correlation coefficient (R). A Monte Carlo approach with 1000 simulations was used to deduce the statistical results to assess the performance of the three proposed AI models. The results showed that the SVM is the best predictor regarding the converged statistical criteria and probability density functions of RMSE, MAE and R. The results of this study represent a contribution towards the selection of a suitable AI approach to quickly and accurately determine the Marshall Parameters of SMA mixtures.

In this study, a surface-enhanced Raman scattering (SERS) substrate based on uniform silver nanoparticles/ZnO nanorods arrays (Ag–ZnO NRs) is prepared by combining of hydrothermal synthesis and magnetron sputtering method. The Ag sputtering time and ZnO sol concentrations in seed layer preparation affect significantly on SERS enhancement. At the optimal condition, the average size of the Ag NPs is about 30 nm and uniform distribution on the surface of the ZnO NRs which are beneficial to the sensitivity of the SERS signal. ZnO NRs arrays which have the uniform size, vertical orientation, and evenly distribution also contribute to an enhancement of Raman signal. The electromagnetic hot spots originated from individual Ag particles, the nanogaps spacing between the Ag particles on the single ZnO nanorod, the gaps between the Ag particles on the adjacent ZnO nanorods, and Ag/ZnO interface are main reasons determining the sensitivity of SERS substrate. For abamectin detection, the Ag–ZnO NRs substrate has exhibited sensitivity as low concentration as 1 ppm. The vibrations peaks of abamectin molecules are identified and investigated.

This study aimed to examine: (1) how the Internet has changed consumers food-buying behavior and identify its associated factors; (2) consumers’ concern about food safety information of online food products. A cross-sectional study was performed from October to December 2015 in Hanoi—a Vietnamese epicenter of food service. One thousand seven hundred and thirty six (1736) customers were randomly chosen from food establishments of 176 communes. Data were collected through face-to-face interviews using structured questionnaires. The majority of participants reported using the Internet to search for food products (81.3%). The most crucial factors influencing food purchases through the Internet were convenience (69.1%) and price (59.3%). Only one-third of participants selected products based on accurate evidence about food safety certification or food origin. The majority of participants were concerned about the expiration date (51.6%), while brand (9.8%) and food licensing information (11.3%) were often neglected. People who were:(1) female, (2) highly influenced by online relationships, and (3) having difficulty in doing usual activities were more likely to look for online food products. These findings produce practical advice to consumers when purchasing their desired food products on the Internet, to online food retailers and to the Government of Vietnam to implement appropriate legislation regarding trading online food products.