In recent years, microplastics (MPs) have been widely found in the environment and pose potential risks to ecosystems, which attracted people\'s attention. Using bioindicators has been a great approach to understanding the pollution levels, bioavailability, and ecological risks of pollutants. However, only few studies have investigated MPs in mangrove ecosystems, with few bioindicators of MPs. Herein, the distribution of MPs in mangrove sediments and fiddler crabs (Tubuca arcuata) in mangroves was investigated. Results showed that the abundance values of MPs are 1,160‒12,120 items/kg and 11‒100 items/ind. in mangrove sediments and fiddler crabs, respectively. The dominant shape of MPs detected in mangrove sediments and fiddler crabs was fragments with sizes of 20‒1,000 μm, larger MPs of 50-1,000 μm were found in abundance. Polypropylene (PP), which is one of the most commonly used plastic materials, was the main polymer type. The distribution of MPs in fiddler crabs closely resembled that in surface mangrove sediments with a strong linear correlation (R2 > 0.8 and p < 0.05) between their abundance. Therefore, the MP contamination level in mangrove sediments can be determined by studying MP pollution in fiddler crabs. Moreover, the results of the target group index (TGI) indicated that fiddler crabs prefer feeding specific MPs in mangrove sediments. Our findings demonstrate the suitability of fiddler crabs as bioindicators for assessing MP pollution in mangrove sediments.

OBJECTIVE: This study explores the association of serum 25-hydroxyvitamin D3 (25(OH)D3) levels with carotid artery intima-media thickness (CIMT), and the presence of carotid atherosclerotic plaques in individuals with a history of smoking.
METHODS: A total of 469 patients suspected of having carotid atherosclerosis, aged 52 to 73 years with an average age of 65.26 ± 4.37 years, were recruited from the author\'s hospital from January 2023 to October 2023. All patients had a smoking history of nearly 5 years. Based on their serum 25(OH)D3 levels, they were divided into two groups: the normal group (serum level 30-50 ng/mL, n = 300) and the deficiency group (<30 ng/mL, n = 169). General details of the two patient groups were collected. Carotid artery ultrasound was employed to assess pulse wave velocity (PWV), carotid artery compliance coefficient (CC), and CIMT. Blood chemistry analysis measured serum lipid metabolism indicators including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HD-LC). The relationship between CIMT and each variable was analyzed through Pearson correlation, and logistic regression was used to identify risk factors influencing carotid artery plaque development.
RESULTS: General patient information between the two groups showed no significant differences (P > 0.05). Patients in the 25(OH)D3 deficiency group exhibited elevated left and right PWV and CC compared to the 25(OH)D3 normal group (P < 0.05). The deficiency group exhibited larger CIMT and plaque area compared to the normal group (P < 0.05). Additionally, the deficiency group demonstrated higher levels of TC, LDL-C, and HD-LC compared to the normal group (P < 0.05). A moderate positive correlation was found between TC, LDL-C, and CIMT (P < 0.05), while a strong positive correlation existed between 25(OH)D3 and CIMT (P < 0.05). In smokers, the formation of carotid artery plaque was associated with factors such as patient age, CIMT, serum LDL-C, and 25(OH)D3 levels (P < 0.05). As age, CIMT, LDL-C levels increased, and 25(OH)D3 levels decreased, the risk of carotid plaques in smokers increased (P < 0.05).
CONCLUSIONS: Smokers with lower 25(OH)D3 levels exhibit higher CIMT and more prominent carotid atherosclerotic plaques, indicating increased arterial stiffness and elevated cardiovascular risk. These findings demonstrate crucial implications that insufficient levels of vitamin D may potentially contribute to a higher risk of atherosclerosis among smokers.

Chinese sour jujube is an important fruit for both medicine and food and effects various biological activities. Although the Chinese sour jujube seed (Ziziphi spinosae semen) is rich in oil, its lipid profiles is significantly affected by the extraction process. However, no studies to date have comprehensively analysed the lipid composition and bioactivity of Ziziphi spinosae semen oil processed using different methods. In this study, we compared the effects of commonly-used pressed, ultrasonic-assisted, and Soxhlet extraction methods on the lipid composition, characteristics, and antioxidant properties of Ziziphi spinosae semen oil. Nineteen subclasses and 390 lipid molecular species were identified, of which 24 lipid molecular species could potentially be used as biomarkers for different processing methods. Correlation analysis revealed that 57 lipids were significantly correlated with the antioxidant capacity (r > 0.9 and P < 0.05). These results indicate that Ziziphi spinosae semen oil is rich in bioactive lipids. These data greatly expand our understanding of the bioactive lipids of Ziziphi spinosae semen oil. Additionally, it could provide useful information for Ziziphi spinosae semen oil applications in functional products or the food industry and new insights into the effects of active vegetable oil processing.

The KOJI AWARENESS (KA) screening test assesses motor function in humans. We aimed to analyze the correlation between age and KA screening scores and to identify the specific age at which a significant decline occurs. A total of 793 healthy participants (234 females) were interviewed for basic information on age and sex and completed the KA screening test. In addition to calculating the total score from the KA test, the scores were calculated for the neck-scapula-upper extremity-complex (NSU), trunk, and lower extremity (LE) segments. Spearman\'s rank correlation coefficient was used to assess the validity of the test. Additionally, Bayesian linear regression was employed to estimate the change point in KA scores, facilitating the identification of a critical age associated with a notable decline in motor function. KA screening total and separate body segment scores were negatively correlated with age in both gender (for female and male, KA total score, ρ = - 0.443, ρ = - 0.344; NSU segment, ρ = - 0.431, ρ = - 0.427; trunk segment, ρ = - 0.210, ρ = - 0.473; LE segment: ρ = - 0.43, ρ = - 0.507). Furthermore, a change-point analysis using linear regression analysis showed that KA screening total scores declined sharply at the age of 49.1(95% credible interval: 37.503, 68.366). The result show that total KA scores decrease - 0.196 (95% credible interval: - 0.335,  - 0.049) for every 1 year of age increase, and for ages over 49.1, total KA scores additionally decrease - 0.255 (95% credible interval: - 0.485, - 0.054) for every 1 year of age increase. In the NSU segment, females showed a more rapid decline than males from the age of 50 years. KA screening test total scores declined sharply at the age of 49.1. These results may be useful in setting treatment goals, exercise, and lifestyle programs for age-related decline in motor function.

BACKGROUND: Appropriate physical activity (PA) and good sleep are beneficial to maternal and fetal health. This paper sought to explore the associations of PA and sleep quality among healthy women at the first and second trimesters of pregnancy on mental health and pregnancy outcomes.
METHODS: Totally 268 healthy pregnant women were retrospectively analyzed as study subjects, 134 each in the first trimester (FT) and second trimester (ST). Their baseline clinical data were obtained respectively at two stages of pregnancy. The PA/sleep quality of subjects were assessed through the Pregnancy Physical Activity Questionnaire-Chinese version (PPAQ-C)/Pittsburgh Sleep Quality Index (PSQI) scale. The mental health was assessed via the Hospital Anxiety and Depression Scale (HADS). The correlations of PA and sleep quality with mental health were analyzed using Spearman correlation analysis. Pregnancy outcomes of all subjects, associations of moderate intensity (MI) PA and sleep quality with adverse pregnancy outcomes, and independent influencing factors for adverse outcomes were analyzed.
RESULTS: Pregnant women in the ST group exhibited higher levels of MI, worse sleep quality, and lower levels of anxiety and depression than those in the FT group. Anxiety and depression were negatively correlated with MI but positively linked with PSQI scores at the first and second trimesters. MI ≥ 7.5 MET-h/week and good sleep quality were associated with a reduced incidence of adverse pregnancy outcomes.
CONCLUSIONS: MI ≥ 7.5 MET-h/week and good sleep quality at the first and second trimesters of pregnancy benefit mental health and markedly reduce the occurrence of adverse pregnancy outcomes.

UNASSIGNED: Indigenous chickens are very important to households for income and protein. However, their performance is usually poor, especially under small-scale farmer management, despite their potential to perform better. The performance of these chickens can be improved by selective breeding. However, for this to be a success, there is a need to understand the phenotypic and production characteristics of these chickens fully. Hence, this study aimed to characterize the phenotypes of these chickens and their production system among small-scale farmers.
UNASSIGNED: A structured questionnaire was administered to 177 small-scale farmers. A total of 538 chickens whose mean weight was 1.66 kg were individually phenotyped in Luapula, Muchinga, and Northern provinces of Zambia.
UNASSIGNED: Ownership of the indigenous chickens was dominated by females (65.37%), with most (64.31%) having attained primary education. Most housed their chickens in family houses (42.03%). All the farmers let their chickens scavenge for their feed, with 45.58% of them providing basic supplementation. Most (84.10%) farmers bought their breed stock from within their community and had a mean flock size of 12.5 chickens/household, which they mostly (78.09%) kept as free-range. The majority (77.39%) practiced culling, with low productivity being the most common reason for culling (84.45%). Only 59.01% of farmers practiced selective breeding, while 86.22% practiced uncontrolled mating. The age at first mating for cocks and hens was 6.8 months and 6.34 months, respectively, with 6.73 months being the age at first egg. It takes 15.43 days to reach a mean clutch size of 13 eggs. The hatchability and mortality at 8 weeks were 83.44% and 67.57%, respectively. All chickens were sold as live chickens, and the majority (51.59%) of the farmers sold their chickens within the community at 7.23 months. Diseases and predators were the most common challenges affecting farmers in the study area. Consultations with veterinarians, vaccinations, and deworming were uncommon while treating sick chickens mostly using ethnoveterinary medicines was common. The most common qualitative traits were brown (27.88%) and mixed (26.77%) plumage color, white skins (91.45%) and shanks (48.70%), single comb type (91.08%), red earlobe (55.76%), and orange eyes (78.07%). All linear body measurements positively and significantly correlated with the body weight averaging 1.66kgs, an indicator that selection for any of them would result in a corresponding increase in body weight. Principal Component Analysis extracted two components with 69.38% of the total variation.
UNASSIGNED: The diversity in phenotypes of these chickens and their production systems indicate huge potential for improvement by implementing breeding programs.

This study aimed to investigate alterations in the fungal community and flavor substances in Yunnan-style sausages subjected to natural air-dried fermentation (NF), variable-temperature drying (VT), and constant-temperature drying (CT) and analyze the potential relationship between fungal community and flavor substances. The findings revealed that the NF group and VT group were more conducive to enhancing the accumulation of dominant fungi and characteristic flavor substances in Yunnan-style sausages. Glu, Ala, His, and Lys were identified as key taste substances based on their taste activity values (TAV ≥ 1). A total of 272 volatile compounds(VOCS) were detected in the sausage samples, while 28 key aroma compounds were screened based on the odor activity value (OAV ≥ 1). Multivariate statistical analysis showed that 12 key aroma compounds (VIP > 1) could be considered discriminative compounds, including (E,E)-2,4-nonadienal, nonanal, heptanal, benzaldehyde, Dodecanal, cyclohexanol, and hexyl-Benzene, etc. Furthermore, Wickerhamoomyces and Debaryomyces were positively correlated with most of the key flavor substances and physicochemical indices (|r| > 0.6, P < 0.05), which were potential flavor-contributing fungi in Yunnan-style sausages.

In China, population growth and aging have partially negated the public health benefits of air pollution control measures, underscoring the ongoing need for precise PM2.5 monitoring and mapping. Despite its prevalence, the satellite-derived Aerosol Optical Depth (AOD) method for estimating PM2.5 concentrations often encounters significant spatial data gaps. Additionally, current research still needs better representation of PM2.5 spatiotemporal heterogeneity. Addressing these challenges, we developed a two-stage model employing the Extreme Gradient Boosting (XGBoost) algorithm. By incorporating improved spatiotemporal factors, we achieved high-precision and full-coverage daily 1-km PM2.5 mappings across China for the year 2020 without utilizing AOD products. Specifically, Model 1 develops improved temporal encodings and a terrain classification factor (DC), while Model 2 constructs an enhanced spatial autocorrelation term (Ps) by integrating observed and estimated values. Notably, Model 2 excelled in 10-fold sample-based cross-validation, achieving a coefficient of determination of 0.948, a mean absolute error of 3.792 μg/m³, a root mean square error of 7.144 μg/m³, and a mean relative error of 14.171%. Feature importance and Shapley Additive exPlanations (SHAP) analyses determined the relative importance of predictors in model training and outcome prediction, while correlation analysis identified strong links between improved temporal encodings, PM2.5 concentrations, and significant meteorological factors. Two-way Partial Dependence Plots (PDPs) further explored the interactions among these factors and their impact on PM2.5 levels. Compared to traditional methods, improved temporal encodings align more closely with seasonal variations and synergize more effectively with meteorological factors. Besides, the structured nature of DC aids in model training, while the improved Ps more effectively captures PM2.5\'s spatial autocorrelation, outperforming traditional Ps. Overall, this study effectively represents spatiotemporal information, thereby boosting model accuracy and enabling seamless large-scale PM2.5 estimations. It provides deep insights into variables and models, providing significant implications for future air pollution research.

This study examines the impact of climate change on winter wheat production in Henan Province. The analysis, under the utilization of GLASS LAI data, focuses on shifts in the planting areas of winter wheat. In addition, a comprehensive assessment of the spatiotemporal trends in meteorological factors during the winter wheat growth period has also been conducted. The findings reveal a fluctuating increase in accumulated temperature across Henan Province, ranging from 3145 °C to 3424 °C and exhibiting a gradual rise from north to south. In particular, precipitation patterns from 1980 to 2019 showed limited significant trends, while notable abrupt changes were observed in 1983, 2004, 2009, and 2016. Geographically, southwestern Henan Province experiences greater precipitation than the northeast. Moreover, a fluctuating downward trend in sunshine hours has been observed, gradually decreasing from north to south. The study further highlights an increase in winter wheat planting frequency in the northwestern region of Luoyang and the northeastern part of Zhumadian, contrasted by a decrease in Zhengzhou and Kaifeng. Accumulated temperature is positively correlated with the expansion of winter wheat planting areas (R2 = 0.685), while sunshine hours exert a suppressive effect (R2 = 0.637). Among meteorological factors, accumulated temperature emerges as the most crucial determinant, followed by precipitation, with sunshine hours having a relatively minor influence. Yield demonstrates a positive association with accumulated temperature (R2 = 0.765) and a negative correlation with sunshine hours (R2 = -0.614). This finding is consistent with the impact of meteorological factors on winter wheat production. The results of this study enhance the understanding of how the underlying mechanisms of climate change impact crop yields.