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高压海缆敷设是海上风电场开发的关键环节。为了提高海缆敷设与登陆的仿真模拟精度,文章采用水动力分析方法在SESAM/HydroD软件中施加粘性阻尼得到了敷缆船运动响应幅值算子（RAO）。在Orcaflex软件中建立敷缆船-高压海缆-系泊系统耦合模型,研究了船舶粘性阻尼对耦合系统响应的影响,并通过对海缆位形、张力和曲率的对比评估给出了海缆登陆最大允许作业海况。研究结果表明,考虑粘性阻尼后船体的垂荡幅值减小55%,海缆敷设时的有效张力、曲率及海缆登陆时的偏移量均明显减小。以考虑船舶粘性阻尼的分析结果作为工程指导,可有效减少海缆登陆海域作业面积并增加作业窗口期,提高海缆敷设效率。

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.)

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In comparison to conventional thoracotomy, video-assisted thoracoscopic surgery （VATS） is conducted in situations with a narrower surgical field and limited operational space. To successfully perform VATS, it is imperative to optimize the quality of lung isolation and collapse to the fullest extent. Delaying lung collapse might impede thoracic surgery. Various measures have been adopted clinically to enhance the speed and quality of lung collapse. This article provides a comprehensive review of the application and research of one-lung ventilation lung collapse technique in thoracic surgery. [ABSTRACT FROM AUTHOR]

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Copyright of Advances in Earth Science (1001-8166) is the property of Advances in Earth Science 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.)

BACKGROUND: The combination of machine learning and medical metal materials can make up for the inefficiency and high cost of traditional experiments and computational simulations, and quickly and accurately predict the characteristics of metal materials by analyzing large amounts of data, optimize material design and performance, and improve the safety and efficiency of medical applications. OBJECTIVE: To summarize the research progress and shortcomings of machine learning in the characteristics of medical materials. METHODS: The first author searched CNKI, PubMed, X-MOL, and Web of Science databases by computer to search all relevant articles from January 2013 to April 2023. The Chinese search terms were “machine learning of medical metal materials, medical titanium alloy, medical magnesium alloy, medical metal material properties”. The English search terms were “machine learning medical metal materials, medical stainless steel alloy, medical cobalt-chromium alloy, medical titanium alloy, medical magnesium alloy”. Finally, 70 relevant articles were included for a summary. RESULTS AND CONCLUSION: (1) The introduction of machine learning as a material design methodology has opened up new paradigms for material science research as the accessibility of large amounts of data generated by traditional experimental and computational simulation methods increases. (2) The machine learning workflow is divided into four main parts: data collection and preprocessing, feature engineering, model selection and training, and model evaluation, each of which is indispensable. (3) Medical metal materials are categorized into: stainless steel co-base alloys, cobalt-chromium alloys, titanium alloys, and magnesium alloys. For stainless steel co-base alloy, machine learning predicts its mechanical properties, to improve the generalization ability of machine learning. For cobalt-chromium alloy, machine learning predicts its mechanical properties, and it can conclude that cobalt-chromium alloy is the optimal material for hip implants. For titanium alloy, machine learning predicts its mechanical properties, and it can select the implant with the best mechanical properties. For magnesium alloy, machine learning predicts its corrosion resistance and mechanical properties; the ensemble model can accurately predict the mechanical properties of magnesium alloys, and the random forest model can predict the optimal elemental contents of magnesium alloys as vascular stents. (4) Machine learning has deficiencies in the field of medical materials. For example, the model is relatively lagging; the data failed to be standardized, and the generalization is low. To solve such problems, we should make full use of deep learning and segmentation algorithm technology, use unified standard data, and improve the model to increase the generalization ability. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Clinical Neurosurgery / Linchuang Shenjingwaike Zazhi is the property of Editorial Board of Journal of Clinical Neurosurgery 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 Asian Journals of Ecotoxicology is the property of Gai Kan Bian Wei Hui 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 Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute 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.)

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Copyright of Lubrication Engineering (0254-0150) is the property of Editorial Office of LUBRICATION ENGINEERING 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 Immunology is the property of Medical Periodical Society of Jilin 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 Inorganic Analytical Chemistry / Zhongguo Wuji Fenxi Huaxue 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.)

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部分前列腺癌患者在初诊时已经发现转移，预后较差。转移性激素敏感性前列腺癌 (mHSPC) 是转移性 前列腺癌中较常见的一种类型。分析mHSPC预后相关因素并建立预后评估模型，可为指导新药和最佳治疗方案选 择提供依据. mHSPC 常见预后相关因素包括：前列腺特异性抗原，其水平降低时间、速度、数值等都与mHSPC的预 后关系密切; Gleason评分，其值越高患者预后越差；转移灶（骨转移、内脏转移), 高危险/高负荷的肿瘤患者比低危 险/低负荷预后差; 碱性磷酸酶, 可能是骨转移性肿瘤的重要指标，是雄激素剥夺治疗后mHSPC患者死亡的风险预 测指标；乳酸脱氢酶，在肿瘤代谢, 增殖, 侵袭和转移中起至关重要的作用；年龄也是影响预后的重要因素. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality 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.)

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality 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.)

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality 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.)

BACKGROUND: Clinical studies have shown that Guyuling capsule is effective in the treatment of osteoporosis, but the mechanism is not clear. OBJECTIVE: To screen out the active components acting on osteoporosis-related target proteins in Guyuling capsule by molecular docking technique in bioinformatics. METHODS: The chemical components of Guyuling capsule were screened by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database (TCMSP) and traditional Chinese medicine comprehensive database (TCMID). The screening conditions were bioavailability ≥ 20% and drug likeness ≥ 0.18. The target protein library related to osteoporosis was constructed according to the literature and database. Drug absorption, distribution, metabolism, excretion and toxicity (ADMET) prediction and molecular docking were carried out by Discovery Studio 2016 software. RESULTS AND CONCLUSION: (1)In total 130 potential active components with good bioavailability of Guyuling capsule were screened and downloaded from traditional Chinese medicine database. Sixty-three active components with good absorption and low toxicity were screened by ADMET prediction function of Discovery Studio 2016, such as L-α-glycerol palmitate, sesamin and so on. (2)By consulting the literature and database, 17 membrane protein receptors were selected, such as extracellular signal-regulated kinase 1/2, protein kinase, and glycogen synthase kinase-3, which are definitely related to osteoporosis. It is mainly related to mitogen-activated protein kinase signal pathway and bone morphogenetic protein signal pathway, which may promote bone formation by regulating the growth and differentiation of mesenchymal stem cells. (3)The results of molecular docking showed high docking scores between Sudihydrodehydropineol, (23E)-20, 25-dihydrodama-23-en-3-one, L-α-glycerol palmitate, sesamin, (24S)-20, 24-epoxy-25-hydroxydama resin-3-one and extracellular signal-regulated kinase 1/2, protein kinase, glycogen synthase kinase-3 and other membrane proteins. Osteoporosis may be treated by mainly regulating mitogen-activated protein kinase signaling pathway. (4)The above results confirm that the active components of Guyuling capsule, such as Su-typedihydrodehydropineol, (23E)-20, 25-dihydroxydama-23-en-3-one, L-α-glycerol palmitate, sesamin, (24S)-20, 24-epoxy-25-hydroxydama resin-3-one, may bind to membrane proteins such as extracellular signal-regulated kinase 1/2, protein kinase and glycogen synthase kinase-3 beta to regulate mitogen-activated protein kinase, bone morphogenetic protein, Wnt, estrogen receptor and other signal pathways, and then play the therapeutic efficacy on osteoporosis, thereby providing big data analysis basis and ideas for further experimental research. [ABSTRACT FROM AUTHOR]

BACKGROUND: Micro-arc oxidation technology has been used to improve the osseointegration of titanium implants. A variety of porous coatings containing different active elements are constructed on the surface of titanium. In recent years, studies have found that salidroside has good bone-promoting activity. Polydopamine, as an excellent binder on the surface of the material and a carrier for secondary adsorption, has the characteristics of loading active molecules. OBJECTIVE: To further improve the bone-promoting ability of the micro-arc oxidation coating on the titanium surface, a composite coating with excellent osseointegration was constructed on the porous surface. METHODS: The micro-arc oxidation coating was made on the surface of pure titanium, which was marked as MAO group, and the polydopamine coating was further prepared on the surface of micro-arc oxidation coating, which was marked as PDA group. Salidroside (1, 2, 4 g/L) was loaded on the surface of polydopamine coating, which was divided into Sal-1 group, Sal-2 group and Sal-4 group. The micro-morphology, surface element content and distribution of each coating were analyzed by scanning electron microscope and X-ray energy dispersive spectrometer. The proliferation activity of cells on the surface of each group was evaluated by CCK-8 assay and fluorescence staining, and the abilities of bone differentiation and mineralization were observed by alkaline phosphatase staining and alizarin red staining. The potential bone-promoting targets of salidroside were predicted by computer molecular docking technique. RESULTS AND CONCLUSION: (1) Scanning electron microscope showed that the surface of the five groups of specimens had porous micron morphology and the average pore diameter was similar, and X-ray energy dispersive spectrometer analysis showed that salidroside could be loaded on the surface of micro-arc oxidation coating by polydopamine carrier. (2) CCK-8 experiment showed that the survival rate of MC3T3-E1 cells in Sal-2 group and Sal-4 group was higher than that in MAO group on the 3rd and 5th days of culture (P < 0.05). Fluorescence staining showed that there were significant differences in MC3T3-E1 morphology among the five groups, and compared with MAO group, Sal-2 group and Sal-4 group had better cell morphology, larger cell spreading area and better connection with neighboring cells. (3) The activity of alkaline phosphatase in Sal-2 group and Sal-4 group was higher than that in MAO group on the 4th and 7th days (P < 0.05). Alizarin red staining showed that calcium nodules appeared in all groups on the 21st day, especially in Sal-2 group and Sal-4 group. (4) Computer molecular docking results show that extracellular regulated protein kinases 2, c-Jun N-terminal kinase 3, estrogen receptor β, and progesterone receptor may be the more active targets for salidroside to promote bone formation. (5) The results showed that salidroside was loaded on the surface of titanium micro-arc oxidation coating by polydopamine, and the bone-promoting activity of micro-arc oxidation coating was improved by proper amount of salidroside. [ABSTRACT FROM AUTHOR]

Objective To investigate the inhibitory effect of salidroside (SAL) on osteoclast differentiation and polarization. Methods RAW264.7 cells were cultured in vitro and induced into osteoclasts by adding solvable receptor activator of nuclear factor kappa B ligand (sRANKL) for 5 days. The control group (culture medium without SAL) and the experimental group (culture medium with SAL in dosage of 15, 30, 60 mg/L respectively) were set. The results of inducing differentiation were compared by TRAP staining. F-Actin ring formation and osteoclast calcification were compared by phalloidin staining and alizarin red staining. Real time fluorescent quantitative reverse transcription polymerase chain reaction (qPCR) was used to detect expression levels of MMP-9, c-Src, CK and Integrin β3. The expression levels of MMP-9 and c-Src proteins were detected by Western blot assay. Results Compared with the control group, the number of TRAP positive cells, and F-Actin ring formation were significantly reduced in each experimental group. The calcification of osteoclasts and the alizarin red staining of osteoclasts were significantly deepened, indicating the the increased calcification (P＜0.05). Compared with the control group, the expression levels of MMP-9, CK and c-Src mRNA decreased in the 30 and 60 mg/L SAL groups, and the expression levels of MMP-9 and c-Src protein decreased significantly in each group. Conclusion Salidroside can inhibit the differentiation, polarization and bone resorption of osteoclasts, and its mechanism may be related to the down-regulation of MMP-9 and c-Src expression. [ABSTRACT FROM AUTHOR]

Copyright of Modern Food Science & Technology is the property of Editorial Office of Modern Food Science & 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 Food Research & Development is the property of Food Research & Development 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.)