ABSTRACT
The objective was to explore the effect modification of zinc (Zn) intake levels on the relationship of tobacco smoke exposure and risk of metabolic syndrome (MetS) in children and adolescents. We used data from 2007-2018 National Health and Nutrition Examination Survey (N = 3701). MetS was considered as main endpoint. Weighted multivariable logistic regression models showed that high cotinine level (≥ 0.05 ng/mL) was associated with increased odds of MetS [odds ratio = 1.54, 95% confidence interval: 1.01, 2.36], and the association between Zn intake levels and MetS did not demonstrate statistical significance. Importantly, the multiplicative interaction term between low Zn intake (≤ 4.89 mg/1000 kcal) and high cotinine level was related to higher odds of MetS (p-value for interaction 0.018). For the group with low Zn intake, high cotinine level was associated with increased odds of MetS. However, there was no significant relationship between cotinine levels and MetS risk in the group with high Zn intake. The effect modification by Zn intake on the relationship of tobacco smoke exposure and risk of MetS is significant in individuals who had a sedentary time of ≥ 6 h, identified as non-Hispanic White, or resided in households with smokers. In short, low Zn intake may potentiate the association of tobacco smoke exposure and MetS risk in children and adolescents.
ABSTRACT
Dynamic multiobjective optimization problems (DMOPs) are characterized by multiple objectives that change over time in varying environments. More specifically, environmental changes can be described as various dynamics. However, it is difficult for existing dynamic multiobjective algorithms (DMOAs) to handle DMOPs due to their inability to learn in different environments to guide the search. Besides, solving DMOPs is typically an online task, requiring low computational cost of a DMOA. To address the above challenges, we propose a particle search guidance network (PSGN), capable of directing individuals' search actions, including learning target selection and acceleration coefficient control. PSGN can learn the actions that should be taken in each environment through rewarding or punishing the network by reinforcement learning. Thus, PSGN is capable of tackling DMOPs of various dynamics. Additionally, we efficiently adjust PSGN hidden nodes and update the output weights in an incremental learning way, enabling PSGN to direct particle search at a low computational cost. We compare the proposed PSGN with seven state-of-the-art algorithms, and the excellent performance of PSGN verifies that it can handle DMOPs of various dynamics in a computationally very efficient way.
ABSTRACT
Botrytis cinerea (B. cinerea) and Colletotrichum gloeosporioides (C. gloeosporioides) were isolated from the decaying strawberry tissue. The antifungal properties of Monarda didyma essential oil (MEO) and its nanoemulsion were confirmed, demonstrating complete inhibition of the pathogens at concentrations of 0.45 µL/mL (0.37 mg/mL) and 10 µL/mL, respectively. Thymol, a primary component of MEO, was determined as an antimicrobial agent with IC50 values of 34.51 (B. cinerea) and 53.40 (C. gloeosporioides) µg/mL. Hippophae rhamnoides oil (HEO) was confirmed as a potent antioxidant, leading to the development of a thymol-HEO-chitosan film designed to act as an antistaling agent. The disease index and weight loss rate can be reduced by 90 and 60%, respectively, with nutrients also being well-preserved, offering an innovative approach to preservative development. Studies on the antifungal mechanism revealed that thymol could bind to FKS1 to disrupt the cell wall, causing the collapse of mitochondrial membrane potential and a burst of reactive oxygen species.
Subject(s)
Botrytis , Colletotrichum , Food Preservation , Fragaria , Fragaria/chemistry , Fragaria/microbiology , Botrytis/drug effects , Botrytis/growth & development , Colletotrichum/drug effects , Food Preservation/methods , Apoptosis/drug effects , Plant Diseases/microbiology , Food Preservatives/pharmacology , Food Preservatives/chemistry , Oils, Volatile/pharmacology , Oils, Volatile/chemistry , Antifungal Agents/pharmacology , Antifungal Agents/chemistry , Fungicides, Industrial/pharmacology , Fungicides, Industrial/chemistry , Fruit/chemistry , Fruit/microbiology , Thymol/pharmacology , Thymol/chemistry , Surface Properties , Chitosan/chemistry , Chitosan/pharmacologyABSTRACT
To diagnose and treat patients with coronary heart disease and angina pectoris with dual heart care mode and analyze the treatment effect. Three hundred cases meeting the inclusion criteria were equally divided into 3 groups, each containing 50 male and female cases. The patients in experimental group 1 took the dual heart nursing method proposed by the subject; experimental group 2 received betastatins; control group received conventional treatment. After 12 weeks of treatment, Hamilton depression scale scored the 3 groups, and their anxiety and depression scores, clinical manifestations, symptom scores and self-acceptance were analyzed. The chi square value of these data was compared with P, and judge whether they meet the needs and differences of statistical data. Then compare their scores before and after treatment to identify the treatment status. The anxiety and depression scores of experimental group 1 were the lowest among the 3 groups, with the values of 59.62â ±â 7.925 and 58.64â ±â 6.416; The total patients who responded effectively to treatment in experimental group 1 accounted for 83%, and the patients who responded effectively to treatment rate was the highest in the 3 groups; The effect of decreasing the score of complications in experimental group 1 was also the most obvious, from 9.07â ±â 4.28 to 3.14â ±â 2.07, which was the best in the 3 groups; the self-evaluation of patients in experimental group 1 was the highest among the 3 groups, 89.72â ±â 4.28. The proposed dual heart care and treatment method can effectively treat coronary heart disease and angina pectoris, and can effectively improve the clinical performance and self-acceptance of patients. It can effectively restore the anxiety and depression of patients after treatment, and then improve patients' life quality, which has the value of popularization and use.