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1,995 result(s) for "Nie, Xin"
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Improved YOLOv10: A Real-Time Object Detection Approach in Complex Environments
Object detection of small and occluded targets in complex scenarios is a vital yet challenging task in computer vision, with applications in intelligent systems (e.g., kitchen safety supervision). To address limitations of existing models, this study proposes an improved YOLOv10 algorithm with three key innovations. We first introduce a Mosaic-9 data augmentation strategy to enhance small target density in training samples. The traditional PANet in YOLOv10 is replaced by the Bidirectional Feature Pyramid Network (BiFPN), which uses cross-scale bidirectional connections and learnable weights to optimize multi-scale feature fusion. A Squeeze-and-Excitation (SE) channel attention module is integrated into the CSPDarknet backbone to emphasize key feature channels and mitigate background interference for occluded objects. Experiments on a self-constructed dataset (6508 images with multi-scale and occluded targets) show the improved YOLOv10 achieves 69.5% mAP@0.5, a 7.7 percentage point increase over YOLOv10n, while maintaining 12.1 ms inference speed. Ablation studies verify Mosaic-9 enhances small target perception, BiFPN boosts mAP@0.5 by 5.7%, and SE improves occlusion robustness by 4.8%. This work offers a generalizable multi-module optimization framework for YOLO-series models, applicable to various small and occluded target detection tasks, advancing lightweight object detection algorithms and intelligent vision systems.
Influence of urban green open space on residents’ physical activity in China
Background Urban green open space is a valuable resource for physical activities of urban inhabitants and has the potential to reduce chronic illness and improve health. Research on the relationships between green open space and physical activity is incomplete and limited in China. Thus, the study examines how the urban green open space contributes to physical activity. Methods A questionnaire was designed based on the social ecology theory to investigate the physical activity of 513 residents in urban green open space. We use the time and frequency of residents exercising in urban green space to measure physical activity, and use the factor analysis to synthesize a large number of original factors (i.e., infrastructure, safety, accessibility, landscape quality, and space environment) into relatively few composite indicators. Based on the collected data of the cross-sectional population, the Order Probit regression model was constructed to analyze how urban green open space affects the residents’ physical activity from the perspective of social ecology. Results ① in community factors: accessibility is significantly positive correlation with residents’ physical activity, and there is no significant correlation between safety and physical activity; ②in natural factors: space environment and landscape quality are not significantly correlated with residents’ physical activity; ③ in built environmental factors: infrastructures, the area of green space, the size of open space, and entertainment facilities are significantly correlated to residents’ activity. Basketball courts, volleyball courts, swimming pools, and sports equipment will promote physical activity; ④ apart from the attributes of green open space, other factors are significantly correlated to physical activity in the green open space, e.g. having a companion. Conclusions Urban green open space plays an important role in promoting physical activity especially among the women and the old, and improving the attributes (such as accessibility, infrastructures, the area of green space, the size of open space and entertainment facilities) of the urban green open space and trying to set up group sports proper to play with companion (like “square dancing” and “Tai Chi”) can promote Chinese residents’ physical activity so as to improve public health. The results are significant to facilitate environment health.
Modeling of Cd(II) adsorption on iron (hydr)oxide–organic composites: deviations from additive adsorption in composite sorption systems
Due to the complexity of ligand-charge distribution models and the controversies regarding the additivity of heavy metal adsorption on iron (hydr)oxides–organic composites, a convenient criterion for determining additivity was proposed in this study, based on the modeling results of the component additivity method and the Cd adsorption mechanisms on the composites. The content of humic acid (HA) (3–41%) and iron (hydr)oxides properties (e.g., specific surface area) are the main factors affecting the simulation results. The reason is that the electrostatic interaction between the components in composites changes the affinity between them and Cd. By optimizing the stability constants for Cd adsorption on ferrihydrite (Fh)/goethite (Gt) and HA, the simulation deviation of Cd adsorption on Fh–HA composites can be reduced from around 10% to less than 5%, while that on Gt–HA composites can be reduced from 10 to 60% to less than 10%. The carboxyl group of HA (HA–COOH) and the single-coordinated hydroxyl group of iron minerals (≡FeOH 0.5− ) are the main functional groups that bind to Cd. The ratio of covered HA–COOH (i.e., deactivated HA–COOH) to ≡FeOH 0.5− can be used as a criterion for determining additivity. When the ratio exceeds 0.2, the simulation deviation caused by electrostatic interaction cannot be ignored and it is necessary to optimize the stability constant for Cd adsorption on each component. This method is convenient to predict adsorption of cationic heavy metals on iron (hydr)oxides–organic composites in the environment.
Recent advances in materials for extended-release antibiotic delivery system
To maintain antimicrobial activity, frequent administration of conventional formulations of many antibiotics with short half-life is necessary. Otherwise, concentration under MIC occurs frequently in the course of anti-infective treatment, which induces antibiotic resistance. By maintaining a constant plasma drug concentration over MIC for a prolonged period, extended-release dosage forms maximize the therapeutic effect of antibiotics while minimizing antibiotic resistance. Another undoubted advantage of extended-release formulation is improved patient compliance. For better release properties, many materials have been introduced into the matrix and coating extended-release system in the past few years. Materials that have been widely used in industry are hydrophilic matrix materials such as hydroxypropylmethylcellulose. The excellent biocompatibility and extensive laboratory studies provide biodegradable polymers great potential for industrial applications. In addition, it seems like the researches on tailored materials that are obtained by chemical modification of the existing materials or combination of different carriers in physical mixtures have a long way to go. Meanwhile, with the development of polymers and inorganic porous nanocarriers, nanotechnology is applied increasingly for the extended delivery of antibiotics. This review highlights the development of materials used in extended-release formulation and nanoparticles for antibiotic delivery. We also provide an overview of the antibiotic extended-release products that have provided clinical benefit or are undergoing the clinical trial.
The characteristics and influencing factors of the spatial distribution of intangible cultural heritage in the Yellow River Basin of China
This paper explores the characteristics and influencing factors of the spatial distribution of 889 national intangible cultural heritage sites in the Yellow River basin of China based on ArcGIS spatial analysis and Geodetector. The results show that the distribution of national intangible cultural heritage sites in the Yellow River basin is significantly different among provinces, and most of them are distributed in the central and western regions. From east to west, the density of intangible heritage in the Yellow River basin presents a triangular \"one area and three points\" pattern. All kinds of intangible cultural heritage in the Yellow River basin generally show the characteristic of aggregated distribution.Traditional skills, traditional medicine, traditional theatre, traditional music, and folklore have high levels of agglomeration, and traditional dance, Quyi, folk literature, and traditional fine arts have lower levels. The levels of traditional sports, entertainment and acrobatics have the lowest agglomeration. Among social and humanistic factors, highway density is the most influential indicator for the spatial distribution of national intangible cultural heritage in the Yellow River basin. GDP, population density and the urbanization level also have a great impact on the spatial distribution of national intangible cultural heritage in the Yellow River basin. Among geographical environmental factors, the river system and topography have a certain effect on the spatial distribution of national intangible cultural heritage in the Yellow River basin. Based on these facts, this paper finally discusses the specific path to protect and develop intangible cultural heritage in the Yellow River basin in the context of the newerato promote its creative protection and innovative development.
Interval association of remote sensing ecological index in China based on concept lattice
The correlation coefficient can calculate paired correlations among different ecological indicators as a whole, but it cannot calculate the specific interval association and the correlation among multiple indicators. This paper proposed an interval association (IA) method of the remote sensing ecological index (RSEI), based on the concept lattice and frequent closed itemset. In the IA method, the ecosystem was viewed as a complex system with a hierarchical structure, and the association among multiple indicators was calculated using the information granulation of RSEI. The interval association support degree (IASD) could measure the association clustering strength of these IA concepts. Calculation of MODIS data compiled by Google Earth Engine (GEE) showed that the IA concepts of RSEI in China were primarily composed of selected middle indicator intervals in 2017. The overall eco-environmental condition in China was general when assessed through IA. The spatial distribution of the remote sensing eco-environment in China displayed strong spatial association clustering. Furthermore, the IA of RSEI focused on the first few concepts with high IASD values.
Shelf-life, quality, safety evaluations of blueberry fruits coated with chitosan nano-material films
Chitosan coating (B/CH) in addition with nano-material films as silicon (B/CH/Nano-SiO 2 ) and titanium (B/CH/Nano-TiO 2 ) dioxides were developed and applied to detect potential changes on fresh blueberry fruits in commercial storage temperature. Physical, mechanical parameters (weight loss, decay rate, colour index and firmness), phytochemical contents (ascorbic acid, acidity, soluble solids concentration, titratable acidity, and repining index), phenolic enzymes (peroxidase and polyphenoloxidase), pigments (anthocyanin) and microbiological analysis (mesophilic aerobic, yeasts and molds populations) were detected every other day until the end of the experiment. Nano-coating based on (Nano-TiO 2 ) established the most suitable values for weight loss (2.22%), titratable acidity (0.45% citric acid), and repining index. (B/CH/Nano-TiO 2 ) reported a gradual increase in polyphenoloxidase and peroxidase enzyme activities (659.45 U/min g) and (20.39 U/min g), respectively. While, (B/CH/Nano-SiO 2 ) established the slightest change in acidity (2.61), anthocyanin (105.19 cyanidin-3- O -glucoside mg/100 g FW) and minimized the growth of mesophilic aerobic, yeasts, and molds populations (3.73–3.98 log CFU/g), respectively. (B/CH) films maintained lightness (6.80% loss) and recorded the highest ascorbic acid content (7.34 g/100 g FW). Therefore, chitosan nano-material films can maintain nutrients and control the microbial growth for extending the shelf life of fresh blueberry fruits.
Is the “pollution haven hypothesis” valid for China’s carbon trading system? A re-examination based on inter-provincial carbon emission transfer
In recent years, China had released various environmental regulations in order to respond climate change and corresponding environmental issues. However, due to imbalanced economic development and industrial structure, different Chinese regions had different enforcement levels on environmental regulations, which led to the regional transfer of pollution-intensive industries. To study the regional disparities on carbon emission transfer, this paper used the propensity score matching–difference in differences method (hereinafter abbreviated as “PSM-DID”) to evaluate the mechanism between carbon trading pilot policies and the transfer of pollution-intensive industries. Panel data on 30 Chinese provinces were used to test the validity of the “pollution haven hypothesis,” covering the period of 2010–2018. The empirical results showed that under the constraints of established environmental regulation, the pilot policy promoted the transfer of pollution-intensive industries to a certain extent and verified the “pollution haven hypothesis”; the proportion of the secondary sector and energy industry in the pilot areas had been reduced after the pilot policy; on the contrary, the technical level and the economic development level of the pilot provinces and cities had been further improved.
The histone H3 variant H3.3 regulates gene body DNA methylation in Arabidopsis thaliana
Background Gene bodies of vertebrates and flowering plants are occupied by the histone variant H3.3 and DNA methylation. The origin and significance of these profiles remain largely unknown. DNA methylation and H3.3 enrichment profiles over gene bodies are correlated and both have a similar dependence on gene transcription levels. This suggests a mechanistic link between H3.3 and gene body methylation. Results We engineered an H3.3 knockdown in Arabidopsis thaliana and observed transcription reduction that predominantly affects genes responsive to environmental cues. When H3.3 levels are reduced, gene bodies show a loss of DNA methylation correlated with transcription levels. To study the origin of changes in DNA methylation profiles when H3.3 levels are reduced, we examined genome-wide distributions of several histone H3 marks, H2A.Z, and linker histone H1. We report that in the absence of H3.3, H1 distribution increases in gene bodies in a transcription-dependent manner. Conclusions We propose that H3.3 prevents recruitment of H1, inhibiting H1’s promotion of chromatin folding that restricts access to DNA methyltransferases responsible for gene body methylation. Thus, gene body methylation is likely shaped by H3.3 dynamics in conjunction with transcriptional activity.