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1.
Huttunen Kristiina M. Terasaki Tetsuya Urtti Arto Montaser Ahmed B. Uchida Yasuo 《Pharmaceutical research》2022,39(7):1363-1392
Pharmaceutical Research - One of the major reasons why central nervous system (CNS)-drug development has been challenging in the past, is the barriers that prevent substances entering from the... 相似文献
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Ibrahim Aldoss MD Salman Otoukesh MD Jianying Zhang PhD Sally Mokhtari PhD Dat Ngo PharmD Mona Mojtahedzadeh MD Monzr M. Al Malki MD Amandeep Salhotra MD Haris Ali MD Ahmed Aribi MD Karamjeet S. Sandhu MD Shukaib Arslan MD Paul Koller MD Brian Ball MD Forrest Stewart MD Peter Curtin MD Andrew Artz MD Ryotaro Nakamura MD Guido Marcucci MD Stephen J. Forman MD Anthony S. Stein MD Vinod Pullarkat MD 《Cancer》2022,128(3):529-535
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Pikis Stylianos Mantziaris Georgios Islim Abdurrahman I. Peker Selcuk Samanci Yavuz Nabeel Ahmed M. Reda Wael A. Abdelkarim Khaled El-Shehaby Amr M. N. Tawadros Sameh R. Emad Reem M. Delabar Violaine Mathieu David Lee Cheng-chia Yang Huai-che Licsak Roman Hanuska Jaromir Alvarez Roberto Martinez Patel Dev N. Kondziolka Douglas Bernstein Kenneth Moreno Nuria Martinez Tripathi Manjul Speckter Herwin Albert Camilo Bowden Greg N. Benveniste Ronald J. Lunsford Dade L. Jenkinson Michael D. Sheehan Jason 《Journal of neuro-oncology》2022,157(1):121-128
Journal of Neuro-Oncology - The optimal treatment strategy of asymptomatic, convexity meningiomas, remains unclear. The purpose of this study was to define the safety and efficacy of stereotactic... 相似文献
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为了提高人体肌电信号对于下肢动作识别的准确率,提出一种基于遗传算法(GA)优化的径向基(RBF)神经网络分类模型。通过采集人体日常8种下肢动作的表面肌电信号并选择“sym6”系小波函数对肌电信号进行滤波预处理,使用主成分分析法(PCA)对时频域特征降维,把特征向量输入GA算法优化的RBF神经网络进行训练和识别。实验结果表明,该方法对同一受试者8种下肢动作的平均识别率为94.00%±0.45%;对15位不同受试下肢动作识别率达到89.30%,比传统BP神经网络的识别准确率提高11.8%,预测时间缩短6 s。所提出的方法为肌电信号应用于下肢智能康复机器人的意图识别研究提供参考,有助于病人的康复。 相似文献
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Abdelbasset Walid Kamal Jasim Saade Abdalkareem Sharma Satish Kumar Margiana Ria Bokov Dmitry Olegovich Obaid Maithm A. Hussein Baydaa Abed Lafta Holya A. Jasim Sara Firas Mustafa Yasser Fakri 《Annals of biomedical engineering》2022,50(6):628-653
Annals of Biomedical Engineering - Unlike the central nervous system, the peripheral nervous system (PNS) has an inherent capacity to regenerate following injury. However, in the case of large... 相似文献
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ThanNaing SoeKayThwe Abdou Ahmed Sayed Mahmoud Sumi Yasunori Tagami Junji Hiraishi Noriko 《Clinical oral investigations》2022,26(2):1333-1342
Clinical Oral Investigations - To investigate the anti-demineralization potential of a newly developed surface reaction-type pre-reacted glass-ionomer (S-PRG) filler containing self-adhesive resin... 相似文献
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Raiker Rahul Pakhchanian Haig Kavadichanda Chengappa Gupta Latika Kardeş Sinan Ahmed Sakir 《Clinical rheumatology》2022,41(3):721-730
Clinical Rheumatology - The outcomes of COVID-19 in patients with axial spondyloarthritis (ax-SpA) have not been explored in detail. Tumour necrosis factor inhibitors (TNFi) are commonly used for... 相似文献
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Major depressive disorder and other neuropsychiatric disorders are often managed with long-term use of antidepressant medication. Fluoxetine, an SSRI antidepressant, is widely used as a first-line treatment for neuropsychiatric disorders. However, fluoxetine has also been shown to increase the risk of metabolic diseases such as non-alcoholic fatty liver disease. Fluoxetine has been shown to increase hepatic lipid accumulation in vivo and in vitro. In addition, fluoxetine has been shown to alter the production of prostaglandins which have also been implicated in the development of non-alcoholic fatty liver disease. The goal of this study was to assess the effect of fluoxetine exposure on the prostaglandin biosynthetic pathway and lipid accumulation in a hepatic cell line (H4-II-E-C3 cells). Fluoxetine treatment increased mRNA expression of prostaglandin biosynthetic enzymes (Ptgs1, Ptgs2, and Ptgds), PPAR gamma (Pparg), and PPAR gamma downstream targets involved in fatty acid uptake (Cd36, Fatp2, and Fatp5) as well as production of 15-deoxy-Δ12,14PGJ2 a PPAR gamma ligand. The effects of fluoxetine to induce lipid accumulation were attenuated with a PTGS1 specific inhibitor (SC-560), whereas inhibition of PTGS2 had no effect. Moreover, SC-560 attenuated 15-deoxy-Δ12,14PGJ2 production and expression of PPAR gamma downstream target genes. Taken together these results suggest that fluoxetine-induced lipid abnormalities appear to be mediated via PTGS1 and its downstream product 15d-PGJ2 and suggest a novel therapeutic target to prevent some of the adverse effects of fluoxetine treatment. 相似文献