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为了提高花生油中的白藜芦醇含量，以超声波细胞破碎预处理花生根，采用花生油和花生根混合搅拌萃取制备富含白藜芦醇花生油，通过单因素试验优化了富含白藜芦醇花生油的制备工艺条件，并对所制备的富含白藜芦醇花生油的品质进行了分析。结果表明，富含白藜芦醇花生油的最优制备工艺条件为花生根粒度75 μm（200目）、超声时间15 min、超声功率325 W、花生根与水质量比1∶ 8、花生根与花生油质量比1∶ 6、萃取温度80 ℃、萃取时间1 h，在最优工艺条件下花生油中白藜芦醇含量从0.12 mg/kg提升至11.98 mg/kg，所制备的富含白藜芦醇花生油符合GB 1534—2017《花生油》一级压榨成品油的要求，色泽与压榨一级花生油无显著性差异。因此，优化的工艺实现了绿色制备富含白藜芦醇花生油。To increase the resveratrol content in peanut oil, peanut root was pretreated with ultrasonic cell crushing, and then peanut oil and peanut roots were mixed and stirred for extraction to prepare resveratrol-rich peanut oil. The preparation process conditions of resveratrol-rich peanut oil were optimized by single factor experiment， and the quality of the prepared resveratrol-rich peanut oil was analyzed. The results showed that the optimal process conditions were obtained as follows: particle size of peanut root 75 μm(200 mesh), ultrasonic time 15 min, ultrasonic power 325 W, peanut root-water mass ratio 1∶ 8, peanut root-peanut oil mass ratio 1∶ 6, extraction temperature 80 ℃, and extraction time 1 h. Under these conditions, the resveratrol content in peanut oil increased from 0.12 mg/kg to 11.98 mg/kg. The prepared resveratrol-rich peanut oil met the requirements of grade 1 pressed finished oil in GB 1534-2017 Peanut oil, and there was no significant difference in color between it and grade 1 pressed peanut oil. Thus the green preparation of resveratrol-rich peanut oil is achieved by the optimized process.

[Objective] The aims of this study are to examine the current imbalance in the development of ‘production-living-ecological’ functions of cultivated land, propose zoning trade-off management measures, to promote the sustainable use of cultivated land, and to drive the implementation of regional cultivated land protection policies. [Methods] The Socio-economic data from 85 counties and cities in Xinjiang from 2005 to 2020 were utilized to construct an evaluation system for the multifunctionality of cultivated land. The improved CRITIC-entropy method was used to determine index weights. Comprehensive index models, Spearman rank correlation, and bivariate spatial Moran′s I were employed to evaluate the multifunctionality of cultivated land in Xinjiang. The spatiotemporal characteristics and the trade-off and synergy relationships of the multifunctionality of cultivated land were analyzed. Xinjiang was divided into five major functional areas for cultivated land use. [Results] (1) The production, living, and ecological functions of cultivated land exhibited spatial distribution characteristics of ‘higher level in the middle, lower level in the north and south’, ‘higher level in the north, lower level in the south’, and ‘three high areas surrounded by two low areas’ respectively. (2) There were significant trade-offs among the multifunctions of cultivated land, with the production-living function trade-off weakening during the study period, while the production-ecological and living-ecological function trade-offs had intensified. (3) Based on these findings, the functional areas for cultivated land use were divided into agricultural production dominant areas (25.88%), agricultural development enhancement areas (12.94%), ecological agriculture maintenance areas (45.88%), synergy potential enhancement areas (5.88%), and urban agriculture construction areas (9.41%), to optimize the pattern of cultivated land use in Xinjiang. [Conclusion] Proposing differentiated trade-off management measures based on the functional zoning of cultivated land is beneficial for ensuring food security and provides certain reference significance for the protection and multifunctional coordinated use of the cultivated land in Xinjiang. [ABSTRACT FROM AUTHOR]

Copyright of Nonferrous Metals (Extractive Metallurgy) is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Foundry Technology (1000-8365) is the property of Foundry Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Frontiers of Computer Science & Technology is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Anhui Agricultural Sciences is the property of Journal of Anhui Agricultural Sciences Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Machine learning methods have the ability to extract features from large amounts of data and dynamically optimize system performance, but there are still many challenges for machine learning to enable system software. This paper mainly surveys the research of machine learning in computer system from two aspects of learning-based operating system and learning-based compiler, discusses the challenges and potential research directions of machine learning enabling system software, and hopes to provide references for researchers. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

OBJECTIVE: Although wearable electronic devices have demonstrated potential utility as intervention tools to enhance physical activity, comprehensive evaluations of their specific effects on the healthy adolescent population remain scarce. Consequently, this article aims to systematically explore and summarize the impact of interventions based on wearable electronic devices on the physical activity and sedentary behavior of healthy adolescents, thereby providing more precise and reliable evidence-based support for public health practices. METHODS: Randomized controlled trials assessing the effects of wearable electronic device-based interventions on the physical activity and sedentary behavior of healthy adolescents were retrieved from databases including Web of Science, PubMed, Scopus, The Cochrane Library, and EBSCO. Meta-analysis was conducted using Review Manager 5.4 and Stata 17, evaluating the effects of interventions on physical activity and sedentary behavior through the standardized mean difference. To ensure the robustness of the research findings, a Leave-One-Out sensitivity analysis was conducted, and subgroup analyses were carried out to explore the potential influence of different factors on the results. The review protocol was registered with the International Prospective Register of Systematic Reviews (CRD42023406645). RESULTS: (1) Twelve publications were ultimately included, consisting of three randomized controlled trials and nine cluster-randomized controlled trials, involving a total of 4 933 healthy adolescents. (2) Meta-analysis results revealed that interventions based on wearable electronic devices had a positive effect on moderate to vigorous physical activity [standardized mean difference (SMD)=0.10; 95% confidence interval (CI): 0.04 to 0.17; P < 0.05). However, the interventions did not significantly improve low-intensity physical activity (SMD=-0.15; 95% CI: -0.32 to 0.02; P > 0.05), daily step count (SMD=0.13; 95% CI: -0.65 to 0.91; P > 0.05), and sedentary behavior (SMD=0.00; 95% CI: -0.09 to 0.09; P > 0.05). (3) Subgroup analyses indicated that short-term interventions (≤ 12 weeks) (SMD=0.11; 95% CI: 0.03 to 0.18; P=0.008), studies using pedometers worn at the waist or hip (SMD=0.10; 95% CI: 0.04 to 0.17; P=0.002), and experiments registered at clinical trial centers (SMD=0.11; 95% CI: 0.04 to 0.17; P=0.001) had a more significant effect on enhancing daily moderate to vigorous physical activity. CONCLUSION: The current evidence suggests that interventions based on wearable electronic devices possess certain advantages in enhancing the daily moderate-to-vigorous physical activity of healthy adolescents. It is recommended that interventions not exceeding 12 weeks and utilizing pedometers positioned at the waist or hip may yield more favorable results. However, the effects of these interventions on daily step count, low-intensity physical activity, and sedentary behavior exhibit some limitations. Consequently, future investigations necessitate higher-quality, larger-scale randomized controlled trials for further validation. [ABSTRACT FROM AUTHOR]

Copyright of Teacher Development Research is the property of Teacher Development Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To screen the differentially expressed circRNAs, miRNAs, and mRNAs in the peripheral blood of patients with schizophrenia, to construct a core competitive endogenous RNA (ceRNA) network, and to elucidate the molecular mechanism underlying the development and progression of schizophrenia. Methods Six Objective To screen the differentially expressed circRNAs, miRNAs, and mRNAs in the peripheral blood of patients with schizophrenia, to construct a core competitive endogenous RNA (ceRNA) network, and to elucidate the molecular mechanism underlying the development and progression of schizophrenia. Methods Six patients with patients with schizophrenia were included in the schizophrenia group, and four healthy individuals undergoing physical examinations during the same period were included in the healthy control group. Peripheral blood was collected from both groups, and total RNA was extracted to construct cDNA libraries for high-throughput sequencing. R software was used to screen for differentially expressed circRNAs, miRNAs, and mRNAs in the peripheral blood of patients with schizophrenia. The miRanda and qTar databases were jointly used to predict circRNA and mRNA interacting with the differentially expressed miRNAs. After intersecting with the differentially expressed circRNA and mRNA, R software was used to construct a network of differentially expressed ceRNA. The DAVID database was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on the differentially expressed mRNAs in the ceRNA network of patients with schizophrenia. The STRING database was used to construct a protein-protein interaction (PPI) network among the differentially expressed mRNAs in the ceRNA network of patients with schizophrenia. The cytoHubba plugin in Cytoscape software was used to screen the core mRNAs that influenced the occurrence and development of schizophrenia. MiRNAs and circRNAs interacting with the core mRNAs were selected to construct a core ceRNA network with differentially expressed genes in the peripheral blood of patients with schizophrenia. Results Compared with the healthy control group, 31 circRNAs, 213 miRNAs, and 2 624 mRNAs were differentially expressed in the peripheral blood of the schizophrenia group. A ceRNA network composed of 5 differentially expressed circRNAs, 4 miRNAs, and 57 mRNAs was constructed. The mRNAs in the ceRNA network of patients with schizophrenia were mainly involved in biological processes such as sensory perception of chemical stimuli and negative regulation of multicellular organism growth. They were associated with molecular functions such as ubiquitin-ubiquitin ligase activity, guanine nucleotide binding, and enzyme binding, as well as cellular components such as the cytoplasm, actin cytoskeleton, and axon terminus. The mRNAs in the ceRNA network were significantly enriched in metabolic pathways such as NF-κB signaling pathway, PI3K-Akt signaling pathway, Ras signaling pathway, and ubiquitin-mediated proteolysis. The PPI network of mRNAs in the differentially expressed ceRNA network of patients with schizophrenia included 23 nodes and 22 edges, and two core mRNAs, BRCA1 and GNAS, that influenced the occurrence and development of schizophrenia were screened out. The core ceRNA network with differentially expressed genes in the peripheral blood of patients with schizophrenia included 5 nodes and 4 edges. The 5 nodes comprised 2 core mRNAs (BRCA1 and GNAS), 1 miRNA (hsa-miR-502-5p), and 2 circRNAs (hsa_circ_0001423 and hsa_circ_ 0008494) . The 4 edges were hsa_circ_0001423/hsa-miR-502-5p/BRCA1, hsa_circ_0001423/hsa-miR-502-5p/GNAS, hsa_circ_0008494/hsa-miR-502-5p/BRCA1, and hsa_circ_0008494/hsa-miR-502-5p/GNAS, respectively. Conclusion Compared with healthy controls, 31 circRNAs, 213 miRNAs, and 2 624 mRNAs were differentially expressed in the peripheral blood of patients with schizophrenia, and we constructed the core ceRNA network with 5 nodes and 4 edges [ABSTRACT FROM AUTHOR]

Copyright of Science Technology & Engineering is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: To elucidate the potential mechanisms by which mesothelin (MSLN) contributes to chemotherapy resistance in high-grade serous ovarian cancer (HGSOC). Methods: A Meta-analysis utilizing public ovarian cancer databases was performed to evaluate the correlation between MSLN expression levels and overall survival (OS) in ovarian cancer patients. Pathway enrichment analysis was employed to identify key signaling pathways regulated by MSLN and their roles in chemotherapy resistance. Additionally, the TCGA-HGSOC database was analyzed to examine genomic features associated with MSLN-mediated chemotherapy resistance. To validate the biological function of MSLN in chemotherapy resistance, an intraperitoneal metastasis model was established using MSLN-knockdown ID8 ovarian cancer cells in mice. Results: Elevated MSLN expression was significantly associated with poor patient prognosis (HR: 1.42, 95%CI: 1.16-1.74). Differential gene expression and pathway enrichment analyses revealed that high MSLN expression upregulates resistance-associated genes and pathways involved in drug metabolism and DNA-binding signaling. Genomic association analysis showed a negative correlation between high MSLN expression and chromosomal instability features, specifically CX3, CX11, and CX13 scores. In vivo studies demonstrated that MSLN knockdown enhanced the tumor-suppressive effects of cisplatin. Conclusion: High MSLN expression represents a potential biomarker for poor prognosis and chemotherapy resistance in HGSOC patients, suggesting MSLN as a promising target for therapeutic intervention. [ABSTRACT FROM AUTHOR]

Copyright of Acta Agronomica Sinica is the property of Crop Science Society of China and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Chinese Journal of Computational Mechanics / Jisuan Lixue Xuebao is the property of Chinese Journal of Computational Mechanics Editorial Office, Dalian University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Continue Education Research is the property of Harbin Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Objective: To observe the joint lesions in patients with hemophilia A using conventional ultrasound, power Doppler imaging (PDI), and super-micro flow imaging (SMI) techniques, and evaluate the preventive treatment efficacy of different treatment regimens in hemophilia patients. Methods: Severe hemophilia A patients who were admitted to North China University of Science and Technology Affiliated Hospital were collected and divided into four groups according to different treatment regimens: Pharmacokinetics (PK) guided individualized preventive treatment group (group A), standard dose preventive treatment group (group B), low dose preventive treatment group (group C), and on-demand replacement treatment group (group D). Haemophilic Early Arthropathy Detection Results: As the treatment time increased, the HEAD-US-C scores in group A, B, and C decreased, with a more significant decrease in group A than group B and C, while there was an increase in group D. The AJBR in all four groups increased, with a more significant change in group D than the other three groups, and the change in group A was the lowest. There was a correlation between HEAD-US-C score and AJBR. Conclusion: Preventive treatment can slow down the progression of joint lesions in hemophilia patients, effectively alleviate joint inflammation and reduce bleeding times. PK guided individualized preventive treatment is superior to other preventive treatments and on-demand replacement treatment. The HEAD-US-C can be used to assess joints, which has certain application value for evaluating the therapeutic effect of hemophilia, providing imaging evidence for clinical diagnosis and treatment. [ABSTRACT FROM AUTHOR]

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