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BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death worldwide and constitutes a global health problem. The cardiometabolic index (CMI) is a new metric that combines abdominal obesity and lipid levels. Studies have shown that the prevalence of lipid metabolism disorders is greater among COPD patients and that the CMI can help reveal the potential role of lipid metabolism in disease progression by assessing the body's metabolic status; however, the association between the CMI and COPD is not known. OBJECTIVE: To explore the association between the CMI and the prevalence of COPD. METHODS: A cross-sectional study was conducted with 14,340 participants aged ≥ 20 years from the 2007-2018 NHANES databases. To assess the relationship between the CMI and the odds of COPD prevalence, we performed multivariate logistic regression analyses, subgroup analysis interaction tests, smoothed curve fitting, and threshold effect analyses. RESULTS: The study included a total of 14,340 participants, 48.49 % male and 51.51 % female, and the average age was 49.75 ± 17.49 years. According to the regression model adjusted for all confounding variables, participants in the highest quartile of the CMI had 22 % greater odds of having COPD than did those in the lowest quartile (OR = 1.22, 95 % CI: 1.03, 1.21, p = 0.010). A nonlinear association was found between the CMI and COPD, with an inflection point of 0.26. The OR (95 % CI) before the inflection point was 1.27 (1.12, 1.44), p = 0.0002. The interaction was statistically significant only in the sex analysis. CONCLUSIONS: The level of the CMI and the odds of COPD prevalence were positively correlated in our study. These findings suggest that managing abdominal obesity and lipid levels may help prevent or mitigate COPD, emphasizing the potential value of the CMI as an indicator for early intervention and precision therapy.

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Actin depolymerizing factors (ADFs), as the important actin-binding proteins (ABPs) with depolymerizing/severing actin filaments, play a critical role in plant growth and development, and in response to biotic and abiotic stresses. However, the information and function of the ADF family in melon remains unclear. In this study, 9 melon ADF genes (CmADFs) were identified, distributed in 4 subfamilies, and located on 6 chromosomes respectively. Promoter analysis revealed that the CmADFs contained a large number of cis-acting elements related to hormones and stresses. The similarity of CmADFs with their Arabidopsis homologue AtADFs in sequence, structure, important sites and tissue expression confirmed that ADFs were conserved. Gene expression analysis showed that CmADFs responded to low and high temperature stresses, as well as ABA and SA signals. In particular, CmADF1 was significantly up-regulated under above all stress and hormone treatments, indicating that CmADF1 plays a key role in stress and hormone signaling responses, so CmADF1 was selected to further study the mechanism in plant tolerance low temperature. Under low temperature, virus-induced gene silencing (VIGS) of CmADF1 in oriental melon plants showed increased sensitivity to low temperature stress. Consistently, the stable genetic overexpression of CmADF1 in Arabidopsis improved their low temperature tolerance, possibly due to the role of CmADF1 in the depolymerization of actin filaments. Overall, our findings indicated that CmADF genes, especially CmADF1, function in response to abiotic stresses in melon.

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Increasing dust storms impact ecosystems and human health by resuspending dust and microplastics. Plastic pollution is a major global concern. This study examines the molecular composition and concentration of atmospheric microplastics and additives in Hohhot and Shanghai, China during dust and non-dust days using non-target and target LC-MS/MS analysis with Multiple Reaction Monitoring (MRM) methodology and a self-established plastic monomers database. In Hohhot, 98 microplastics and additives types were identified on dust days (41 unique) and 70 on non-dust days (10 unique), mainly PEG, HTPE, PET, PPG, and Nylon. The types fluctuate ranging from 35 to 65 due to dusty conditions. In Shanghai, 50 types were identified (no unique), with 25 to 30 types consistently present. Hohhot's microplastics concentration during dust days peaked at 3531.59 ng/m3, about three times higher than non-dust days (1669.17 ng/m3) and significantly higher than Shanghai's maximum of 589.85 ng/m3. Overall, microplastic monomers in both cities were mostly compounds with low unsaturation, indicating potential for long-term atmospheric persistence. Highly reactive monomers like HTPE, PEG, thrive on dust days in Hohhot due to insufficient light and strong winds. These conditions reduce photochemical reactivity, accelerate microplastic aging through collisions, and resuspend more microplastics from the soil, resulting in a wider variety of microplastics with different m/z and carbon contents during sandstorms. On non-dust days, microplastics have more concentrated m/z values, indicating that substances with similar chemical properties disperse more under normal conditions. These findings highlight the significant impact of dust storms on microplastics characteristics. SYNOPSIS: This study indicates that dust storms and regional differences can have significant impacts on the diversity and abundance of atmospheric microplastics.

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The purpose of this study was to identify the most effective method for enhancing the quality of beef gel during refrigeration. To achieve this objective, the effects of various types of starch on the physicochemical properties and microstructure of beef gel during refrigeration were investigated. In this study, ground beef gel was chosen as the research subject, and six different types of starch were added: 6% tapioca starch, cassava-modified starch (acetylated distarch phosphate, ADSP), potato starch (PSP), modified potato starch (acetate starch, SA), corn starch (CSP), and modified corn starch (hydroxypropyl distarch phosphate, HPDSP). The quality indicators of ground beef were measured and analyzed throughout the cold storage at 4 °C on days 1, 3, 5, 7, and 9. The results demonstrated that the water capacity of beef mince supplemented with PSP and HPDSP was significantly greater (p < 0.05). Additionally, the gel strength was found to be the highest, while the mesh structure formed in the ADSP group was the greatest. Furthermore, HPDSP, PSP, and SA effectively inhibited the oxidation of meat fat, with SA showing a relatively good effect on delaying the oxidation of meat mince protein. The addition of starch can, to a certain extent, inhibit lipid and protein oxidation in meat mince. In conclusion, starch significantly enhances the quality of beef mince by improving water retention, gel strength, and microstructure during refrigeration.

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Poor air quality is increasingly linked to gastrointestinal diseases, suggesting a potential correlation with human intestine health. However, this relationship remains largely unexplored due to limited research. This study used a controlled mouse model exposed to cooking oil fumes (COFs) and metagenomics, transcriptomics, and metabolomics to elucidate interactions between intestine microbiota and host metabolism under environmental stress. Our findings reveal that short-term COF inhalation induces pulmonary inflammation within 3 days and leads to gastrointestinal disturbances, elucidating a pathway connecting respiratory exposure to intestinal dysfunction. The exposure intensity significantly correlates with changes in intestinal tissue integrity, microbial composition, and metabolic function. Extended exposure of 7 days disrupts intestine microbiota and alters tryptophan metabolism, with further changes observed after 14 days, highlighting an adaptive response. These results highlight the vulnerability of intestinal health to airborne pollutants and suggest a pathway through which inhaled pollutants may affect distant organ systems.

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With the increasing demand for Li, the recovery of Li from solid waste, such as Li-containing Al electrolytes, is receiving growing attention. However, Li-containing Al electrolytes often contain large amounts of F, leading to environmental pollution. Herein, a new method for preparing water-soluble Li salt from waste Li-containing Al electrolytes with high F and Na contents is proposed based on CaO roasting and water leaching. The effects of different roasting and leaching conditions on the Li leaching efficiency and reaction pathway were systematically investigated. Under the optimum processing conditions, the Li leaching efficiency reached 98%, while those of Na and F were 98.41% and 0.24%, respectively. Phase evolution analysis showed that the addition of CaO promoted the conversion of LiF and Na2LiAlF6 to Li2O, whereas F entered the slag phase as CaF2, which could be reused as a raw material for steel refinement. Overall, this study proposes an efficient and environmentally friendly method for the treatment and resource utilization of waste Al electrolytes with high F and Na contents.

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BACKGROUND: Due to the increasing emergence of antibiotic resistance in Enterococcus faecalis (E. faecalis), it indicated as potentially opportunistic pathogen causing various healthcare-associated and life-threatening diseases around the world. OBJECTIVE: The aim of this meta-analysis was to evaluate the weighted pooled resistance rates in clinical E. faecalis isolates based on over time, areas, antimicrobial susceptibility testing (AST), and infection source. METHODS: We searched the studies in PubMed, Scopus, and Web of Science (November 30, 2022). All statistical analyses were carried out using the statistical package R. RESULTS: The analysis encompassed a total of 74 studies conducted in 28 countries. According to the meta-regression, the chloramphenicol, fosfomycin, imipenem, linezolid, minocycline, norfloxacin, quinupristin-dalfopristin, and tetracycline resistance rate increased over time. Analysis revealed statistically significant differences in antibiotic resistance rates for ampicillin, chloramphenicol, erythromycin, gentamicin, penicillin, rifampicin, teicoplanin, tetracycline, and vancomycin across various countries. CONCLUSIONS: Globally, the prevalence of drug resistant E. faecalis strains are on the increase over time. Daptomycin and tigecycline can be an effective agent for the treatment of clinical E. faecalis infections. Considering the low prevalence of antibiotic resistance in continents of Europe and Australia, it is suggested to take advantage of their preventive strategies in order to obtain efficient results in other places with high prevalence of resistance.

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Background: Alzheimer's disease (AD) is a progressive neurodegenerative disease that is not easily detected in the early stage. Handwriting and walking have been shown to be potential indicators of cognitive decline and are often affected by AD. Objective: This study proposes an assisted screening framework for AD based on multimodal analysis of handwriting and gait and explores whether using a combination of multiple modalities can improve the accuracy of single modality classification. Methods: We recruited 90 participants (38 AD patients and 52 healthy controls). The handwriting data was collected under four handwriting tasks using dot-matrix digital pens, and the gait data was collected using an electronic trail. The two kinds of features were fused as inputs for several different machine learning models (Logistic Regression, SVM, XGBoost, Adaboost, LightGBM), and the model performance was compared. Results: The accuracy of each model ranged from 71.95% to 96.17%. Among them, the model constructed by LightGBM had the best performance, with an accuracy of 96.17%, sensitivity of 95.32%, specificity of 96.78%, PPV of 95.94%, NPV of 96.74%, and AUC of 0.991. However, the highest accuracy of a single modality was 93.53%, which was achieved by XGBoost in gait features. Conclusions: The research results show that the combination of handwriting features and gait features can achieve better classification results than a single modality. In addition, the assisted screening model proposed in this study can achieve effective classification of AD, which has development and application prospects.

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Objective: Sclerodermus wasps are important biocontrol agents of a class of wood borers. Bacterial symbionts influence the ecology and biology of their hosts in a variety of ways, including the formation of life-long beneficial or detrimental parasitic infections. However, only a few studies have explored the species and content of the symbionts in the Sclerodermus species. Methods: Here, a high-throughput sequencing study of the V3-V4 region of the 16S ribosomal RNA gene revealed a high level of microbial variety in four Sclerodermus waps, and their diversities and functions were also predicted. Results: The three most prevalent phyla of microorganisms in the sample were Firmicutes, Bacteroides, and Proteus. The KEEG pathways prediction results indicated that the three pathways with the highest relative abundances in the S. sichuanensis species were translation, membrane transport, and nucleotide metabolism. These pathways differed from those observed in S. guani, S. pupariae, and S. alternatusi, which exhibited carbohydrate metabolism, membrane transport, and amino acid metabolism, respectively. Bacteroides were found to be abundant in several species, whereas Wolbachia was the most abundant among S. sichuanensis, with a significant negative correlation between temperature and carriage rate. Conclusions: These results offer insights into the microbial communities associated with the bethylid wasps, which is crucial for understanding how to increase the reproductive capacity of wasps, enhance their parasitic effects, and lower cost in biocontrol.

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AIM: To investigate the knowledge level and clinical practice of neonatal intensive care unit nurses on the whole process of hypothermia prevention in preterm infants. DESIGN: A polycentric descriptive cross-sectional study was conducted in 23 hospitals in Shandong province involving 254 neonatal intensive care unit nurses. METHODS: An evidence-based knowledge and clinical practice questionnaire on hypothermia prevention in preterm infants and a general information questionnaire were used to collect data. SPSS and EXCEL 24.0 database were used for data statistics and analysis. RESULTS: Nearly one-third of nurses were unclear about the definition of mild hypothermia and heat preservation measures during labour management and resuscitation. Knowledge about the correct rate of amniotic fluid evaporation was low. The higher the hospital level and nurses' education level, professional title, work experience, and position, the higher the knowledge level. The clinical practice of nurses differed in terms of body temperature assessment tools, measurement sites, and measurement frequency for premature infants. CONCLUSIONS: Nurses in neonatal intensive care units need to apply evidence-based knowledge and carry out practice interventions to ensure preterm infants' safe transition from the delivery room to the neonatal intensive care unit. IMPACT: There have been few studies evaluating neonatal nurses' knowledge and practices with regards to the preventing hypothermia of premature infants from delivery room to neonatal intensive care unit. The study identifies the deficiencies and problems in temperature management that can be attributed to the knowledge level of nurses. The findings will help improve the current curriculum, teaching strategies, and the nurses' knowledge levels, preventing premature hypothermia in infants. REPORTING METHOD: This study adhered to the STROBE statement for observational studies and obtained approval (KYLL-2023LW045) from the ethics committee of The Second Hospital of Shandong University. The other 22 third- and second-level hospitals, as our alliance members, recognized our chairperson status within the alliance and were willing to join our academic activities. Mutual responsibility for ethical filing between alliance units. PUBLIC CONTRIBUTION: 254 nurses were recruited from 23 tertiary and secondary public hospitals in Shandong province. No public or patient involvement. Members of the research group used the Questionnaire Star platform to prepare the electronic questionnaire, including obtaining informed consent, taking precautions for questionnaire completion, and using the aforementioned measurement tools. The project research team contacted the head nurses of 23 neonatal intensive care units in Shandong Province. After obtaining consent from the head nurses, they were asked to send the requirements and link of the electronic questionnaire to their WeChat management group. The nurses go through each question and make a choice which has two options of 'agree' or 'disagree.' Based on their answers, nurses were evaluated as having 'mastered' or 'not mastered' each item. Each 'mastered' item (correct answer) was given a score of 4; an item 'not mastered' (incorrect answer) was given a score of 0. The total score ranged from 0 to 100.

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Cyclic GMP-AMP synthase (cGAS) is a major cytosolic DNA sensor that plays a significant role in innate immunity. Upon binding to double stranded DNA (dsDNA), cGAS utilizes GTP and ATP to synthesize the second messenger cyclic GMP-AMP (cGAMP). The cGAMP then binds to the adapter protein stimulator of interferon genes (STING) in the endoplasmic reticulum, resulting in the activation of the transcription factor interferon regulatory factor 3 (IRF3) and subsequent induction of type I interferon. An important question is how cGAS distinguishes between self and non-self DNA. While cGAS binds to the phosphate backbone of DNA without discrimination, its activation is influenced by physical features such as DNA length, inter-DNA distance, and mechanical flexibility. This suggests that the recognition of DNA by cGAS may depend on these physical features. In this article we summarize the recent progress in research on cGAS-STING pathway involved in antiviral defense, cellular senescence and anti-tumor response, and focus on DNA recognition mechanisms based on the physical features.

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Cooking oil fumes (COF) are known to emit a wide range of organic compounds with significant impacts on human health and urban air quality. This study used HPLC-QToF-MS and Vocus PTR-TOF to explore the chemical constituents and influencing factors of the COF generated from eight typical Chinese dishes representing different areas in a laboratory kitchen. The results revealed that both CHO and CHON compounds exhibited strong reducibility and saturability, with CHO compounds being the dominant and CHON compounds showing greater diversity. 24 among 168 CHO compounds were identical with those generated from heating soybean oil, representing 72.4%-92.3% in abundance and 22.2%-29.2% in quantity. That was 5 among 113 CHON compounds, accounting for 7.8%-10% in abundance and 4.7%-6.7% in quantity. These findings suggest that the major CHO compounds from heating soybean oil continued to dominate the abundances in dishes. The diversity of CHO compounds and the presence of CHON compounds were influenced by the food ingredients. The VOC analysis indicated that oxygen-containing organics were the major components. 6 identical VOC species between cooking dishes and heating soybean oil were identified, comprising 36.02%-67.84% of the total VOCs mass. Notably, poor ventilation could result in even higher COF concentrations in the connected room compared to the kitchen itself.

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As the number of foreign patients and the frequency of international academic exchanges increase, English proficiency has become increasingly essential for Chinese nurses in the treatment and nursing processes, clinical academic exchanges, and ongoing education. However, the overall English proficiency of Chinese nurses is generally inadequate, greatly depending on the English that they acquire during their nursing education. This study aims to explore the challenges encountered by Chinese EFL (English as a Foreign Language) nursing students in the process of learning Nursing English, along with the effective self-regulated learning strategies they adopt to overcome these challenges. Data were collected from nine Chinese EFL nursing students through their reflective journals and thematic analysis was applied. Data analysis revealed the variety of challenges EFL nursing students encountered, including language-related challenges, which are linguistic difficulties that relate to Nursing English learning itself, such as Nursing English vocabulary and terminology, English-to-English translation, limited listening comprehension, and the gap between textbook knowledge and its practical application; learner-related challenges, which are difficulties that affect students' emotional, affective, and mental state, primarily caused by uncertainty about the significance of Nursing English, the unexpected difficulty of Nursing English, and failing quizzes; and context-related challenges, which are difficulties relate to social, cultural, and educational context, such as insufficient learning resources, a lack of language environment, and peer pressure. To surmount these challenges, the participants adopted diverse self-regulated learning strategies, including setting goals, previewing in advance and reviewing in time, utilizing word roots, prefixes, and suffixes to facilitate vocabulary learning, repeating, practicing with sounds and writing systems, translating, highlighting and using imagery to overcome language-related challenges; believing in the usefulness and significance of Nursing English, keeping a growth mindset, enjoying Nursing English learning and teacher support and maintaining grit in learning Nursing English to overcome learner-related challenges; and integrating resources, creating supportive language environments and seeking assistance from teachers and cooperating with peers to overcome context-related challenges. Based on these findings, implications are drawn for Nursing English teachers, material designers, curriculum developers, and program designers. We suggest incorporating explicit strategy instruction into regular Nursing English education to enhance nursing students' self-regulated learning.

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Antibiotic associated diarrhea (AAD) was a common side effect of antibiotics, and fermented ginseng exhibited potential in treating AAD. In this study, the effects of fermented red, white, and black ginseng on AAD were investigated, with a focus on intestinal flora and inflammation. Clindamycin was used to induce AAD in mice, which caused severe diarrhea and weight loss. However, treatment with fermented ginseng effectively alleviated diarrhea, and reduced inflammation in colonic serosal tissue, thereby mitigating antibiotic-induced intestinal tissue damage. 16S rRNA sequencing revealed that clindamycin disrupted the Bacteroides/Firmicutes ratio (P < 0.001), which was reversed by fermented ginseng treatment. Furthermore, inflammatory cytokines like IL-1ß, IL-6, and TNF-α significantly decreased (P < 0.05) after clindamycin treatment but returned to normal levels following fermented ginseng treatment. In conclusion, fermented red, white, or black ginseng (at a dosage of 0.5 g/kg) exhibited efficacy against AAD in mice, reinstating gut flora balance and easing inflammation.

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Volatile organic compounds (VOCs) in food are key factors constituting their unique flavor, while the characteristics of VOCs in air-dried yak meat (AYM) from various regions of the Tibetan Plateau and their inter-regional differences remain unclear. Therefore, this study conducted a comprehensive analysis of VOCs in the five-spice (FS), spicy and numbing (SN), and aromatic and spicy (AS) versions of AYM from four regions of the Tibetan Plateau (Gansu, Qinghai, Sichuan, and Tibet) using gas chromatography-ion mobility spectrometry (GC-IMS) A total of 58 VOCs were identified, with alcohols accounting for 28.40%, ketones 22.89%, aldehydes 18.85%, and terpenes 17.61%. Topographic plots, fingerprint profiles, and multivariate analysis not only distinguished AYM of the same flavor from different regions but also discriminated those of different flavors within the same region. Furthermore, 17 key VOCs were selected as the primary aroma characteristics of the 12 types of AYM, including linalool, 3-methylbutanal, acetone, and limonene. Meanwhile, the differential VOCs for each flavor were determined, with linalyl acetate being unique to the FS, (E)-ocimene and ethyl propanoate being specific to the SN, and 2-methyl-3-(methylthio)furan-D and Hexanal-D being characteristic of the AS flavor. Based on the above results, the flavor of AYM can be improved to suit the taste of most people and increase its consumption.

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Inositol 1,3,4,5,6-pentakisphosphate 2-kinase (IPK1) catalyzes the final step in phytic acid (InsP6) synthesis. In this study, the effects of OsIPK1 mutations on InsP6 synthesis, grain filling and their underlying mechanisms were investigated. Seven gRNAs were designed to disrupt the OsIPK1 gene via CRISPR/CAS9 system. Only 4 of them generated 29 individual insertion or deletion T0 plants, in which nine biallelic or heterozygous genotypes were identified. Segregation analysis revealed that OsIPK1 frameshift mutants are homozygous lethality. The biallelic and heterozygous frameshift mutants exhibited significant reduction in yield-related traits, particularly in the seed-setting rate and yield per plant. Despite a notable decline in pollen viability, the male and female gametes had comparable transmission rates to their progenies in the mutants. A significant number of the filling-aborted (FA) grains was observed in mature grains of these heterozygous frameshift mutants. These grains exhibited a nearly complete blockage of InsP6 synthesis, resulting in a pronounced increase in Pi content. In contrast, a slight decline in InsP6 content was observed in the plump grains. During the filling stage, owing to the excessive accumulation of Pi, starch synthesis was significantly impaired, and the endosperm development-specific gene expression was nearly abolished. Consistently, the activity of whereas AGPase, a key enzyme in starch synthesis, was significantly decreased and Pi transporter gene expression was upregulated in the FA grains. Taken together, these results demonstrate that OsIPK1 frameshift mutations result in excessive Pi accumulation, decreased starch synthesis, and ultimately leading to lower yields in rice.

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PURPOSE: The objective of this study is to assess the impact of smoking on stroke prevalence and to delineate the relationship between smoking-related factors and the risk of stroke, incorporating an analysis of demographic variations influencing this association. METHODS: Our analysis encompassed 9,176 participants, evaluating clinical attributes alongside smoking-related characteristics such as duration of cigarette consumption, and levels of nicotine, tar, and carbon monoxide. We employed weighted univariate logistic regression and restricted cubic splines to examine the association between smoking indicators and stroke risk, complemented by subgroup analyses for demographic differentiation. RESULTS: The overall prevalence of stroke in our cohort was 3.4%. Statistically significant associations were found between stroke incidence and factors such as age, gender, education, and marital status (p < 0.05). Adjusted logistic regression models showed increased odds ratios (ORs) for stroke with higher nicotine and carbon monoxide levels across progressively adjusted models: Model 1 (unadjusted), Model 2 (adjusted for age, gender), Model 3 (further adjusted for education, marital status, BMI, PIR), and Model 4 (fully adjusted for additional factors including hypertension, hyperlipidemia, diabetes, and drinking). Specifically, ORs for nicotine increased from 2.39 in Model 1 to 2.64 in Model 4; for carbon monoxide, from 1.10 to 1.11 over the same models.​The threshold analysis using restricted cubic splines revealed critical points for stroke risk increase at smoke exposure levels of 410 units, tar 12 mg, nicotine 1.1 mg, and carbon monoxide 12 ppm. Above these thresholds, stroke risk escalates significantly. Additionally, the presence of family smoking history was associated with higher stroke risks compared to those without such history. CONCLUSION: This study confirms that smoking significantly contributes to increased stroke risk, particularly through exposure to nicotine and carbon monoxide. The findings emphasize the necessity for tailored stroke prevention strategies that specifically address smoking behaviors and consider demographic susceptibilities. Incorporating smoking-related indicators into risk assessment models could enhance the precision of stroke prevention efforts.

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Heat stress is the most critical factor affecting animal feeding in summer. This experiment was conducted to investigate the effects of heat stress on the feeding preference of yellow-feathered broilers and its possible mechanism. As a result, the preference of yellow-feathered broilers for Tenebrio molitor was significantly decreased, and the fear response and serum corticosterone of broilers were significantly increased when the ambient temperatures are 35 °C (P < 0.05). In the central nervous system, consistent with the change in feeding preference, decreased dopamine in the nucleus accumbens (NAc) and increased mRNA levels of MAO-B in the ventral tegmental area (VTA) and NAc were found in yellow-feathered broilers (P < 0.05). In addition, we found significantly increased mRNA levels of corticotropin-releasing hormone receptor 1, corticotropin-releasing hormone receptor 2 and glucocorticoid receptor in the VTA and NAc of female broilers (P < 0.05). However, no similar change was found in male broilers. On the other hand, the serum levels of insulin and glucagon-like peptide-1 were increased only in male broilers (P < 0.05). Accordingly, the mRNA levels of insulin receptor and glucagon-like peptide-1 receptor in the VTA and the phosphorylation of mTOR and PI3K were increased only in male broilers (P < 0.05). In summary, the preference of yellow-feathered broilers for Tenebrio molitor feed decreased under heat stress conditions, and hedonic feeding behavior was significantly inhibited. However, the mechanism by which heat stress affects hedonic feeding behavior may contain gender differences. The insulin signaling pathway may participate in the regulation of heat stress on the male broiler reward system, while stress hormone-related receptors in the midbrain may play an important role in the effect of heat stress on the reward system of female broilers.

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Efficient metal-free synthesis of benzo[b]azepines and oxindoles is achieved via a radical relay cascade strategy employing halogen atom transfer (XAT) for aryl radical generation followed by intramolecular hydrogen atom transfer (HAT). Optimization yielded moderate to substantial yields under visible light irradiation. Preliminary biological assessments revealed promising anti-tumor activity for select compounds. This study underscores the potential of XAT-mediated radical relay cascades in medicinal chemistry and anticancer drug discovery.

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Background: Lung cancer is one of the malignant tumors with the highest rates of morbidity and mortality worldwide. One of the most common histological types of lung cancer is lung adenocarcinoma (LUAD). Despite the fact that development in medicine has significantly improved some patients' prognoses, the overall survival (OS) rate is still very low. In glucose-deficient SLC7A11-overexpressed cancer cells, the accumulation of disulfide molecules leads to abnormal disulfide bonding between actin cytoskeletal proteins, interferes with their tissues, and eventually leads to actin network collapse and cell death. This mode of cell death is called disulfidptosis. Studies have shown that disulfidptosis may be a new target for cancer treatment. However, the role of disulfidptosis in LUAD is still unknown. Methods: LUAD transcriptome and clinical information from The Cancer Genome Atlas (TCGA) was downloaded. The co-expression analysis, Least Absolute Shrinkage and Selection Operator (LASSO) regression, and Cox regression analysis was performed to screen the disulfidptosis-related lncRNAs (DRLs) and build the prognostic model. Kaplan-Meier curve, Cox regression analysis, and receiver operating characteristic (ROC) curve was used to validate the model. Then a nomogram is made to predict the prognosis of LUAD patients. Finally, fresh-collected clinical samples were used to verify the expression of DRLs in LUAD. Results: The prognostic model with six DRLs was developed to predict the prognosis of LUAD, with superior prognosis value compared to other clinical variables. The Cox regression analysis revealed that T stage, N stage and the risk score were identified as independent variables that affected LUAD prognosis. ROC curve revealed that the model has a moderate diagnostic value, with an AUC of 1-year 0.684, 3-year 0.664, and 5-year 0.588. Moreover, nine medications connected to LUAD treatment were acquired through drug sensitivity analysis. LUAD tissue validation showed that AC012073.1, AC012615.1, EMSLR, and SNHG12 were highly expressed, while AL606834.1 and AL365181.2 with low expression. Conclusion: Six DRLs were screened and verified to construct the prognostic model, which can accurately predict the LUAD prognosis. It establishes a basis for further exploration into the molecular mechanisms underlying LUAD and identification of potential biomarkers for diagnosis, prognosis, and therapeutic targets.