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The landscape perception and identity of residents in traditional villages significantly influence their conservation behaviors and are affected by multiple factors. However, empirical studies on how residents’ perceptions of village landscapes influence their willingness to engage in conservation activities, particularly within the context of China, remain limited. This study, therefore, focuses on residents in the southeastern coastal region of China and, based on the Attitude-Behavior Theory framework, constructs a “Perceived Value – Place Identity–Behavioral Intention” model. Utilizing structural equation modeling, the study explores the mediating role and related characteristics of place identity between the perceived value of traditional village landscapes and residents’ behavioral intentions. The findings reveal that both landscape perceived value and place identity significantly impact residents’ behavioral intentions, with place identity mediating the effect of various dimensions of perceived value on residents’ behavioral intentions. The comprehensive path coefficient rankings are as follows: architectural landscape perception, layout landscape perception, cultural landscape perception, and environmental landscape perception. Additionally, residents’ demographic characteristics partially influence their attitude and behavior. This study validates the behavioral characteristics of residents in the conservation of traditional villages and highlights the critical role of the perception-identity link in promoting conservation behavior. These findings not only contribute to the knowledge system of residents’ attitudes and behaviors in traditional village conservation but also have significant implications for the targeted preservation and enhancement of village landscape elements.

ABSTRACT Understanding the factors driving species coexistence and competition in the shrub layer of semi‐natural forests is crucial for effective forest management and conservation. However, there is limited knowledge about the interspecific associations of the main species in the shrub layer of Pinus massoniana communities in the semi‐natural forest of Sandu Gulf, Ningde, Fujian Province, China. Therefore, this study aimed to investigate the influence of the abiotic environment on plant communities within the semi‐natural forest of P. massoniana on the islands of Sandu Gulf. By exploring these interspecific associations, we sought to provide a more accurate understanding of the causes and processes of species coexistence and competition. The ultimate goal of this project was to offer a reference basis for optimizing the shrub layer structure in P. massoniana (plantation) forests. We found that (1) Heptapleurum heptaphyllum was the most dominant species in the shrub layer, while Smilax china demonstrated the broadest range of environmental adaptability and correspondingly broader niche than other species. (2) Our analysis revealed a predominance of positive associations among the dominant species in the shrub layer. However, the overall association was not significant, with relatively small positive and negative associations between species pairs. The significant test rate was low, and the NRI exhibited a non‐significant aggregation. These findings suggest that the plant community in the shrub layer has not yet reached its most stable stage. (3) We also observed that the distribution of dominant species in the shrub layer was primarily affected by factors such as total potassium, pH, available potassium, and light (canopy density). (4) Soil pH value decreased gradually as sampling points moved inward away from the coastline, and island isolation, temperature, and precipitation indirectly affected the species' importance in the shrub layer. Considering the intense competition among the understory species, it is crucial for conservation efforts to prioritize species pairs with reduced ecological niche overlap or significant positive associations. This approach will effectively reduce competition and contribute to the maintenance of stability in the shrub layer. This study provides a theoretical basis for environmental and vegetation restoration, optimizing the species composition of island plantation forests, rationalizing plant composition, and implementing effective operation and management practices for local P. massoniana forests.

Abstract Background Women with polycystic ovary syndrome (PCOS) are usually selected to undergo an ovulation induction regimen or a programmed regimen for endometrial preparation in the frozen-thawed embryo transfer (FET) during their IVF/ICSI treatment. The programmed regimen permits flexible scheduling of embryo transfer but requires long-term usage of exogenous estrogen and higher dosages of luteal support while the letrozole ovulation regimen needs lower dosages of luteal support only. Recently, multiple studies have shown that the letrozole ovulation regimen can improve pregnancy outcomes of FET in women with PCOS compared with the programmed regimen. However, most of these studies are retrospective, and prospective studies are urgently needed the evidence from the perspective study is insufficient. Methods/design We are undertaking a multicentre, randomized, controlled clinical trial of an endometrial preparation regimen for FET in women with PCOS. The eligible women are randomly assigned to either the letrozole ovulation regimen or the programmed regimen for endometrial preparation. The primary outcome is the clinical pregnancy rate. Discussion The results of this study will provide evidence for whether the letrozole ovulation regimen for endometrial preparation could improve pregnancy outcomes in PCOS women undergoing FET. Trial registration Chinese Clinical Trial Registry ChiCTR2200062244. Registered on 31 July 2022.

The color palette of traditional dwellings is intricately shaped by the characteristics of the geographical environment and the long-standing lifestyle of residents, thus constituting a vital component of rural culture. However, the rapid development in recent years has resulted in the dilapidation of rural features, including haphazard colors employed in buildings. With the advancement of science and technology, the studies of color have transitioned from a qualitative to a quantitative approach. Through a comprehensive comparison of RGB, HSB, CMYK, and Lab color spaces, as well as an evaluation of color card comparison method, software analysis method, and instrument measurement method; this paper reveals that employing the instrument measurement method in conjunction with the Lab color space enables independent assessment free from subjective influence. This approach facilitates more objective and accurate collection of color data while ensuring seamless and lossless transmission between devices. Therefore, to safeguard and enhance the authenticity of traditional dwellings and preserve the architectural style of traditional villages, this paper focuses on investigating the color palette of traditional dwellings in the Jianxi River Basin. The CM-700d spectrophotometer is employed for color data collection, while quantitative analysis is conducted using the Lab color space to unravel the color logics in this region. The findings reveal that earth yellow (average Lab (50.35,7.40,19.63)) constitutes the main color of rammed earth walls, complemented by dark brown (average Lab (38.72,2.97,8.58)) tiled roofs and gray-brown (average Lab (41.95,4.30,12.75)) stone wall bases as accent color; additionally, gray-yellow (average Lab (49 .82,1 .93,10.98)) brick gatehouses serve as accent colors. The integration between these colors and nature is harmonious; however, the absence of distinct color layers and highlights in the traditional dwellings necessitates incorporating bright architectural decorations along with arrangements of flowering plants. This paper conducted a quantitative analysis on the color of traditional dwellings with three main objectives. Firstly, to establish a comprehensive color database that can effectively preserve and promote regional traditional dwelling colors, while aiding designers in capturing regional color characteristics. Secondly, by collecting precise color data, this paper lays the groundwork for future applications of digital color technology. Lastly, it aims to explore the regional color logic and its potential integration with future studies on color evaluation to uncover preferred color combinations among the public for dwellings.

Invasive alien plants (IAPs) pose a significant threat to island biodiversity and severely impact ecosystems. Understanding the species–area relationship and environmental determinants of growth forms for IAP species on subtropical islands is crucial for establishing an IAP’s early warning mechanism, enhancing island ecological management, and protecting the ecosystems of Fujian and other subtropical islands. The study identified significant species–area relationships for IAPs and different life-form plants (trees, shrubs, and herbs), with slopes of 0.27, 0.16, 0.15, and 0.24, respectively. The small island effect does not apply to all species. Isolation has little effect on species richness, and the IAPs on Fujian islands do not conform to the isolation effect in island biogeography. Landscape factors are the main determinants of IAPs and different life-form species richness, with area, shape index, and perimeter–area ratio being the three primary landscape factors. These environmental factors are closely related to habitat heterogeneity. Besides landscape factors, different life forms respond differently to environmental factors. Climate drives the species richness distribution of shrubs and herbs, while trees are mainly influenced by human activities. Overall, landscape, human disturbance, and climate jointly drive the distribution of IAPs, with landscape factors being the most significant.

Legionella is an aerobic, gram-negative, intracellular pathogen and is an important cause of community-acquired pneumonia. Legionella pneumophila is the most common causative agent of Legionella pneumonia. Clinical diagnosis of Legionella pneumonia is challenging due to the lack of specific clinical manifestations and the low positive rates of conventional pathogen detection methods. In this study, we report a case of a patient with chronic myeloid leukemia who developed rigors and high fever after chemotherapy and immunotherapy. Chest computed tomography revealed consolidation in the left lower lobe of the lung and ground-glass opacities in both lower lobes. Multiple blood cultures showed Escherichia coli, Staphylococcus aureus, Bacillus licheniformis, and positive results in the β-D-glucan test (G test). The patient was treated with various sensitive antimicrobial agents, including meropenem plus fluconazole, meropenem plus carpofungin, and vancomycin. Unfortunately, the patient’s condition gradually worsened and eventually resulted in death. On the following day of death, metagenomic next-generation sequencing (mNGS) of 1whole blood revealed L. pneumophila pneumonia with concurrent bloodstream infection (blood mNGS reads 114,302). These findings suggest that when conventional empirical antimicrobial therapy proves ineffective for critically ill patients with pneumonia, the possibility of combined Legionella infection must be considered, and mNGS can provide a diagnostic tool in such cases.

Nowadays, computing advertising has been an intelligent Internet application which provides personalized advertising service to customers. But how to suggest suitable advertising contents to users relies on effective mining of user preference characteristics. Conventionally, machine learning-based methods were most intuitive solutions to predict unknown user features. Nevertheless, such kind of approaches highly relied on massive labelled samples, and also cost much time in algorithm training. In realistic engineering application, running efficiency acts as the top priority. To deal with this issue, this paper proposes a novel personalized recommendation model for computing advertising based on user acceptance evaluation. Firstly, the functional requirements in personalized recommendation of computing advertising is analyzed, and the perceived behavior of the algorithm ethical risks generated in computing advertising is analyzed based on collaborative filtering. Then, based on the user experience risks generated in recommendation process, a user acceptance value for personalized recommendation is calculated. We also conduct some experiments on real-world data to make empirical assessment for the proposal. It can be concluded that recommendation effect of the proposal is better than that of machine learning algorithm and ant colony algorithm.

Objectives: To evaluate the relationship between mannose-binding lectin (MBL) polymorphism and neonatal sepsis to provide ideas for early diagnosis and control of neonatal sepsis using meta-analysis. Methods: The China National Knowledge Infrastructure, WanFang Data, China Biological Medicine Disc, PubMed, Embase, Cochrane Library, and Web of Science databases were electronically searched to collect studies on the association between the MBL gene variants and the risk of neonatal sepsis. Original articles from case-control and cohort studies on the relationship between MBL polymorphisms and neonatal sepsis were considered eligible. Meta-analysis was performed using Stata 15.0 software. The chi-square-based Q test and I2 statistics were used to assess heterogeneity. Forest plots were used to display the results graphically. Potential publication bias was assessed using the Egger and Begg tests and funnel plots. Results: Twenty-two studies, including 4565 cases and 12,746 controls, were included in this meta-analysis. Meta-analysis showed a significant relationship between MBL rs1800450 (codon 54, G > A) and neonatal sepsis in the variant vs. wild types. However, the analysis showed MBL exon 1 gene polymorphism (A/O), MBL rs5030737 (codon 52, C > T), and rs1800451 (codon 57, G > A), involved in existing research, were not associated with the risk of sepsis in neonates. Conclusions: Current evidence shows that MBL rs1800450 is associated with neonatal culture-proven sepsis. Owing to the limited quantity and quality of the included studies, more high-quality studies are required to verify the above conclusion.

Michelia amoena Q.F.Zheng et M.M.Lin is classified in Magnoliaceae and has a high economic value. Herein, we report the complete chloroplast genome of M. amoena using Illumina sequence data. The chloroplast genome is 160,088 bp in length and contains a large single copy (LSC) region of 88,118 bp and a small single-copy (SSC) region of 18,798 bp separated by two inverted repeat (IR) regions of 26,586 bp each. It contained a total of 131 genes, with an overall GC content of 39.26%. The phylogenetic analysis showed that M. amoena is closely related to Michelia figo. This study provides important sequence information for species identification and its phylogenetic relationship in the Magnoliaceae.

Objectives: This study examined the dose-effect relationship of chitosan and danshen combined injections on the long-term prevention of fallopian tube re-obstructions, with increased pregnancy rates in infertile women.Methods: High-performance liquid chromatography was used to determine the content changes of combined chitosan and danshen injection. Two hundred and eighty patients with fallopian tube obstructions were randomly assigned to four groups. Group A (control group, saline), Group B (2 ml chitosan, 4 ml danshen), Group C (2 ml chitosan, 10 ml danshen), and Group D (1 ml chitosan, 10 ml danshen). Injections were administered after tubal recanalization.Results: The effective constituent of chitosan and danshen injection was stable. Tubal patency rate was 94.2% and 87.3% in Group C after 1 and 3 years, respectively, which was significantly higher than Groups A (38.6%, 31.5%), B (73.5%, 64.1%), and D (68.5%, 50.7%). Intrauterine pregnancy rates were 61.8% and 79.4% in Group C after 1 and 3 years, respectively, and were significantly higher than Groups A (31.8%, 34.8%), B (40.1%, 62.5%), and D (38.5%, 58.5%) (p < 0.05).Conclusion: Combined Chitosan and danshen injections prevented tubal obstruction and increased pregnancy rates for long periods using an optimal ratio of 1 part chitosan and 5 parts danshen.

Casearia glomerata Roxb. is classified in Salicaceae and has a high economic value. Herein, we report the complete chloroplast (cp) genome of C. glomerata using Illumina sequence data. The cp genome is 156,809 bp in length and contains a large single-copy (LSC) region of 84,888 bp and a small single-copy (SSC) region of 17,039 bp separated by two inverted repeat (IR) regions of 27,441 bp each. It contained a total of 123 genes, with an overall GC content of 36.81%. The phylogenetic analysis showed that C. glomerata is closely related to Casearia velutina. This study provides important sequence information for species identification and its phylogenetic relationship in the Salicaceae

Callicarpa siongsaiensis Metcalf is a drought resistance shrub with ornamental potential. In this study, Illumina sequencing data were used to assemble the complete chloroplast genome of Callicarpa siongsaiensis. The length of the circular genome is 154,144 bp. It contains a total of 130 genes, including 87 protein-coding, 36 tRNA, and seven rRNA genes. The GC content of the chloroplast genome of C. siongsaiensis is 38.09%. The phylogenetic analysis fully resolved C. siongsaiensis in a clade with C. formosana.

Abstract Background Primordial follicular depletion has thought to be a common adverse effect of chemotherapy especially for female of reproductive age. The study aimed to evaluate the protective effect of rapamycin on the primordial follicles and its potential mechanism for patients receiving chemotherapy. Methods 8-week old BALB/c female mice were randomly assigned into four groups (control; rapamycin; cyclophosphamide; and rapamycin combined with cyclophosphamide). Hematoxylin staining, immunohistochemical, TUNEL, western blotting and ELISA were employed to assess inter-group differences using Student’s t-test and Mann-Whitney test. Results Cyclophosphamide depleted the follicular reserve and induced the phosphorylation of the key proteins of PI3K/Akt/mTOR pathway in mice in a dose-dependent manner. Co-treatment with rapamycin significantly reduced primordial follicle loss at all cyclophosphamide dose groups and prevent the follicle growth wave caused by cyclophosphamide treatment (P