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Objective: To analyze the similarity between Mongolian medicine prescriptions included in the 2020 edition of the Pharmacopoeia of the People’s Republic of China (hereinafter referred to as the Chinese Pharmacopoeia) and Tibetan medicinal compounds according to the Drug Standards of the Ministry of Public Health of the People’s Republic of China: Tibetan Medicine (Volume I) (hereinafter referred to as the Ministerial Standards). Methods: A comparative analysis was conducted between Mongolian medicine prescriptions contained in the Chinese Pharmacopoeia and the corresponding Tibetan medicinal compounds included in the Ministerial Standards using Jaccard similarity coefficients and Hellinger distance algorithms across three dimensions: composition, shared drug dosage ratio, and efficacy. Different weights were applied to calculate the comprehensive similarity between the formulas. Simultaneously, we collated and verified the original source literature, and determined the era of composition for each formula. Results: The overall similarity between the Mongolian medicine prescriptions from the Chinese Pharmacopoeia and the Tibetan medicinal compounds from the Ministerial Standards was over 50%. Notably, the composite similarity for the pairings Sanwei Jili San and Sanwei Jili Tangsan, as well as Wuwei Qingzhuo San and Shiliu Anzhi Jinghua San, exceeded 90%. Additionally, six sets of formulas achieved a similarity of over 75%. Literature research has revealed that all 13 sets of formulas first appeared in Tibetan medical literature and were long-standing practices in Tibetan medicine clinics, significantly predating their initial documentation in Mongolian medical literature. Conclusion: The 13 sets of Mongolian medicine prescriptions originated from Tibetan medicinal compounds. Throughout their evolution, the sets adhered to the principles of similar origins and/or properties and effects, leading to the emergence of both commonly used and alternative items. Nevertheless, the efficacy of the formulas has remained highly consistent. The phenomenon of ingredient substitution in the formulas could be attributed to various factors, such as resource availability and cognitive differences among inheritance schools. This study has important implications for further comparative research on content quantification and pharmacological activity. Such research could uncover new medicinal varieties, fostering the sustainable development of Tibetan and Mongolian medicine.

ObjectiveTo introduce the basic design， development plan and objectives of a population-based birth cohort in Shanghai， and further present the main data and baseline characteristics of enrolled participants in the cohort， and to provide key information for reproductive health-related studies.MethodsThe Shanghai population-based birth cohort initiated on January 1， 2005， included newborns born in Shanghai every year and their parents， and collected information on reproductive health， reproductive treatment， birth characteristics， growth and development status， as well as the incidence， treatment and death of diseases by employing data linkage technology and investigations. This formed a birth cohort spanning the entire life cycle.ResultsAs of October 2022， a total of 2 978 538 newborns and their parents were included in the cohort. Among them， 2 905 135 （97.54%） were naturally conceived （NC）， and 73 403 （2.46%） were born through assisted reproductive technologies （ART）. The average age of parents was （32.56±4.12） years old for females and （34.62±5.34） years old for males in the ART group， which was higher than （28.02±4.71） years and （30.07±5.54） years for parents in the NC group. Among parents， females and males aged 30 and above accounted for 77.12% and 85.08%， respectively， which were higher than that of parents （35.28% for females and 49.66% for males） in the NC group. Furthermore， the percentage of parents with a college degree or above in the ART group was 73.23% for females and 73.66% for males， which were higher than those in the NC group （49.98% and 50.91%， respectively）. The multiple births rate in the ART group was 33.81%， which was higher than that in the NC group （1.88%）. The incidence of premature birth and low birth weight in the ART group were 24.47% and 19.08%， respectively， which was higher than that in the NC group （5.47% and 3.73%）.ConclusionThe comprehensive collection of reproductive health-related information in the birth cohort in Shanghai can provide essential resources to determine the influence of genetics， environment， reproductive treatment and other related factors on the health of offspring after birth.

ObjectiveTo elucidate the principles and methods of the Bayesian probabilistic linkage model， and to demonstrate the effect of applying the model in linking birth and death data.MethodsThrough the Shanghai birth and death registration system， data of 199 025 infants born in 2017 and 1 512 infants who died in 2017 and 2018 were collected. After cleaning the data， the data were divided into monthly blocks and fully linked. The Jaro-Winkler algorithm and Euclidean distance were employed to measure the similarity of fields for matching. A Bayesian probabilistic linkage model was constructed and the linking effect was evaluated using a confusion matrix.ResultsUsing the Bayesian probabilistic linkage model， the birth and death data of infants were effectively linked， revealing that 36.71% of infants who died in Shanghai were born outside the city， and the probability of infant death was 2.6‰. The confusion matrix of the test set showed a recall rate of 0.86， precision of 0.76， and an F-score of 0.81.ConclusionThe practical application of Bayesian probabilistic linkage demonstrates a good model performance， enabling the establishment of birth-death cohorts that more accurately reflect the true levels of infant mortality. Utilizing this technique to integrate data from different departments can effectively improve research efficiency in the field of public health.

【Objective】It aims to explore the response of different nitrogen fertilizer levels to the growth and physiological changes of Haloxylon ammodendron seedlings under drought stress, and to provide theoretical basis and technical parameters for ecological restoration and vegetation conservation management in desert areas.【Method】The H. ammodendron seedlings in the desert area of Xinjiang were taken as research objects, and the changes of natural drought (water) conditions of the soil were simulated in the critical periods of seedling growth through pot test in high temperature season, and treatments of CK, mild drought, moderate drought and severe drought were set up according to the saturated water holding capacity of the soil, and the nitrogen levels of N0, N1, N2, N3, N4 and N5 (0、0.05、2.50、5.00、7.50、10.00g/m2) were set up respectively under the treatment of each drought gradient. Field collection of each treatment was carried out. The whole plant was labelled, the assimilated branches of labelled seedlings were collected randomly, the biomass of seedlings was determined by indoor drying, and the contents of soluble protein, soluble sugar, proline and malondialdehyde in assimilated branches were analyzed and determined to study the physiological response characteristics of seedlings to drought changes under different nitrogen application levels.【Result】Under different drought gradients, taking mild drought as an example, the plant biomass of seedlings showed a trend of increasing and then decreasing with the increase of nitrogen application, and the plant biomass increased from 23.28 g at N0 to 30.19 g at N3 and then decreased to 27.57 g at N5, indicating that excessive application of nitrogen was not conducive to the accumulation of seedling biomass. The contents of soluble protein, soluble sugar, proline and malondialdehyde in the assimilated branches of seedlings increased with the increase of drought gradient at different N application levels. When the assimilated branches were under severe drought, the contents of soluble protein, soluble sugar, proline and malondialdehyde accumulated rapidly, they adapted to the drought through osmoregulation, and the contents of each of them in the assimilated branches at the N3 application level showed the smallest increase compared with that in CK, with the increase of 58.96%, 73.01%, 73.1% and 73.9%, respectively, indicating that reasonable nitrogen application could effectively alleviate drought.【Conclusion】Reasonable fertilization is beneficial to the accumulation of seedling plant biomass and effectively alleviate drought stress. It is found that, under the N3 nitrogen application level, the biomass of seedling plant under each drought treatment reached the maximum value, and the contents of soluble protein, soluble sugar, proline and malondialdehyde in the assimilated branches show the least increase with the increase of drought gradient. Considering the comprehensive effect of fertilizer application, it is recommended that 5.00 g/m2 of N fertilizer can be added to the conventional planting when artificially planting H. ammodendron transplants in the desert areas of Xinjiang.

In the novel power system of urban grid, the multiple resources increase and the data collection becomes more difficult, which lead to a higher random missing data rate. It is difficult to meet the demand for refined analysis and decision making. For the frequent missing data problem in the distribution network, a new missing data filling method for power systems based on fluctuation cross-correlation analysis (FCCA) and generative adversarial network (GAN) is proposed in this paper. Firstly, a multi-dimensional feature extraction method for strongly correlated grid data is proposed by fusing FCCA. Secondly, based on kernel principal component analysis (KPCA), the multi-dimensional feature dataset is dimensionally reduced. Finally, an improved GAN structure is designed, which integrates multi-dimensional features of power grid equipment data to reconstruct low dimensional vectors. The missing data is accurately filled in, and the integrity and availability of the new power system measurement data is improved. The algorithm is validated using real grid data, and the proposed method is also tested in a city grid. The results show that the proposed method has higher filling accuracy than the traditional data filling methods. Therefore, it is conformed that in the case of continuous and significant data environment, integrating strong correlation features for data filling has significant advantages in improving the integrity and availability of measurement data.

Water scarcity and ecological degradation in arid zones present significant challenges to regional ecological health. Despite this, integrating the water supply–demand balance and water supply security (SEC) into ecological health assessments—particularly through composite indicators—remains underexplored in arid regions. In this study, we assessed the ecological health changes in Xinjiang by utilizing multivariate remote sensing data, focusing on the balance between water supply and demand, the degree of SEC, and ecosystem resilience (ER). Our results indicate that while water supply and demand remained relatively stable in northern Xinjiang between 2000 and 2020, the conflict between supply and demand intensified in the southern and eastern agricultural regions. SEC evaluations revealed that 73.3% of the region experienced varying degrees of decline over the 20-year period. Additionally, ER assessments showed that 7.12% of the region exhibited a significant decline, with 78.6% experiencing overall reductions in ecological health. The indicators’ response to drought demonstrated that improvements in ecological health during wet conditions were less pronounced than declines during droughts. This study underscores the necessity of prioritizing areas with lower ecological health in future water allocation strategies to optimize water resource utilization.

Reproductive growth is one of the most important stages in the life history of plants and is regulated by photoperiod. However, the effect of different photoperiods after flowering on the reproductive growth stages of different plants and their roles is still unclear. For this reason, this study took the short-day plant strawberry (Fragaria × ananassa Duch. cv. Akihime) as the research object, performed different photoperiod treatments (ND: natural daylight; SD: short daylight; LD: long daylight) after flowering, and studied the effects of photoperiod on fruit growth period, fruit quality, flower opening, and plant height in different inflorescence of fruits. The results showed that different photoperiods had significantly different effects on the growth and development of strawberries after flowering, and LD and SD had opposite effects: (1) Under the condition of SD, the fruit matured after 17 days of treatment, while the LD and ND advanced this by 6 and 5 days. LD could significantly delay the development of the first inflorescence of fruits, resulting in longer ripening period and fruit appearance, and the quality traits were better. (2) The number of flowers in the secondary inflorescence and the development process was effectively accelerated by LD, and the total number of flowers under the long-day treatment was significantly more than that under the short-day treatment and the natural condition from 12 to 25 days after the end of the flowering period. Under the condition of LD, the fruits matured after 53 days of treatment, which was 5 days earlier than the other two treatments, and the period from flowering to maturity was shortened. (3) The effect of different photoperiods on the final plant height of strawberries after flowering had no significant difference (p < 0.05). In conclusion, this study found that photoperiod could effectively regulate the reproductive growth stage of strawberry after flowering, which enriched the experimental material and theoretical basis for studying the photoperiod as a mechanism for regulating plant growth and development, providing technical guidance for artificial regulation of strawberry growth period and fruit quality.

Application of beta-glycosidase to convert isoflavone from glycosides to aglycones in SoyLife and soymeal at different levels of pH and varied temperature conditions is presented.

A method for preparing chickpea curd via heat-induced gelation is presented.

OBJECTIVE: Telomere length-related genes (TLRGs) play an important role in multiple tumors; however, there is a lack of systematic reporting about their relevance in nonsmall cell lung cancer (NSCLC). This study investigated the relation between TLRG gene expression and the immunotherapeutic response of patients with NSCLC. MATERIALS AND METHODS: Differentially expressed TLRGs in tumor tissues and normal tissues were screened using Gene Expression Omnibus (GEO) datasets. A univariate Cox regression analysis was performed to identify the optimal prognosis-related genes. A prognostic risk model was constructed by using least absolute shrinkage, selection operator, and multivariate Cox regression analysis results. The model was then evaluated by a Kaplan-Meier analysis, functional enrichment annotation, and a receiver operating characteristic curve analysis; after which, it was validated in the TCGA dataset. The model was used to predict immunotherapeutic response and drug sensitivity. RESULTS: An 18-gene prognostic signature was developed and used to stratify NSCLC patients into a low-or high-risk group in GEO cohorts. Patients in the low-risk group had better survival possibilities than those in the high-risk group, and showed significantly higher overall survival times in the TCGA cohort. The risk score was identified as an independent prognostic factor, when compared with other clinical factors. ssGSEA scores showed that the risk model was mainly linked to cancer- and immune-related pathways. Importantly, the candidate risk model was linked to tumor immunity and predicted a patient's response to PDL-1 blockade immune therapy. Several potential drugs that might target this model were identified. CONCLUSIONS: This study provides broad molecular signatures that can be used in further functional and therapeutic studies of the telomere system, and also represents an integrated approach for characterizing key protein complexes when creating a prognosis and identifying new targets for cancer immunotherapy. [ABSTRACT FROM AUTHOR]