Results 11 to 20 of about 201,799 (93)

Operative #429, Special Work, Fulton Bag and Cotton Mills

, 1916
Physical condition: GoodIn this report, an operative working in the Mill reports on the activities of mill workers and labor ...
Operative #429
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Клинични и МРТ характеристики на тубулинопатиите. Клиничен случай на TUBA1A асоциирана пахигирия и церебеларна хипоплазия

Българска неврология, 2023
Тубулинът е протеин, който полимеризира в дълги вериги или нишки, които образуват микротрубули, имащи ключова роля в клетъчното делене, невроналната миграция, транспорта на протеини и цилиарната подвижност.
Daniela Deneva, I. Aleksandrova, V. Bojinova   +2 more
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Синдромът „Алиса в страната на чудесата”(„Alice in wonderland” syndrome)

Българска неврология, 2023
Синдромът „Алиса в страната на чудесата” („Alice in Wonderland syndrome”) е рядък неврологичен синдром, характеризиращ се с транзиторни прояви на дисторзия на зрителните образи, нарушено възприятие за собствено тяло и време, съпроводени понякога с ...
Silvia Cherninkova, S. Zhelyazkova
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Автозомно-доминантен и автозомно-рецесивен Ювенилен паркинсонизъм – I част

Българска неврология, 2023
Ювенилният паркинсонизъм (ЮП) е рядък, хетерогенен и често фамилен синдром, характеризиращ се с проява на паркинсонизъм при пациенти под 21-годишна възраст.
Iliyana Aleksandrova, A. Asenova, V. Bojinova   +2 more
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Knowledge structure and future research trends of body–mind exercise for mild cognitive impairment: a bibliometric analysis

Frontiers in Neurology
BackgroundMild cognitive impairment (MCI) is a common neurodegenerative disorder that poses a risk of progression to dementia. There is growing research interest in body–mind exercise (BME) for patients with MCI.
Jing Zhang, Zhen Yang, Zhen Yang, Huiying Fan   +3 more
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Selected Papers from CUBANNI 2017—“The Fourth International Workshop of Neuroimmunology” [PDF]

, 2019
Starting from the most interesting papers presented at CUBANNI 2017, the First International Meeting of the Cuban Network of Neuroimmunology, this eBook covers the most up-to-date findings on neuroimmunology research.
Maria De los Angeles Robinson Agramonte (Ed.), Carlos Alberto Gonçalves (Ed.), Dario Siniscalco (Ed.)   +2 more
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Efficacy of transcranial direct current stimulation for improving postoperative quality of recovery in elderly patients undergoing lower limb major arthroplasty: a randomized controlled substudy

Frontiers in Neurology
BackgroundPrevious studies have demonstrated improvements in motor, behavioral, and emotional areas following transcranial direct current stimulation (tDCS), but no published studies have reported the efficacy of tDCS on postoperative recovery quality in
Mingshu Tao, Mingshu Tao, Jie Yang, Jie Yang, Rongguang Liu, Rongguang Liu, Song Zhang, Yuan Han, Chunyan Li, Chunyan Li, Qi Wei, Qi Wei, Dexian Chen, Dexian Chen, Jiaxing Fang, Jiaxing Fang, Hongxing Zhang, Yuwei Wang, He Liu, He Liu, He Liu, He Liu, Jun-Li Cao, Jun-Li Cao   +23 more
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Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms

Frontiers in Neurology
ObjectiveThe objective of this study is to develop a model to predicts the postoperative Hunt-Hess grade in patients with intracranial aneurysms by integrating radiomics and deep learning technologies, using preoperative CTA imaging data.
Yan Peng, Yiren Wang, Yiren Wang, Zhongjian Wen, Zhongjian Wen, Hongli Xiang, Hongli Xiang, Ling Guo, Lei Su, Yongcheng He, Haowen Pang, Ping Zhou, Ping Zhou, Ping Zhou, Xiang Zhan   +14 more
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UMNH:Mamm:429

, 2022
UMNH:Mamm:429 Voucher Specimen Study ...
UMNH VZ Staff
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急性缺血性卒中静脉溶栓后症状性颅内出血预测模型的系统评价 Prediction Models of Symptomatic Intracerebral Hemorrhage after Intravenous Thrombolysis in Acute Ischemic Stroke: A Systematic Review

Zhongguo cuzhong zazhi
目的 系统评价急性缺血性卒中静脉溶栓后症状性颅内出血预测模型的特征，为静脉溶栓临床决策提供参考。 方法 检索中国知网、万方数据知识服务平台、维普资讯、PubMed、Embase、Web of Science和The Cochrane Library数据库，收集急性缺血性卒中静脉溶栓后症状性颅内出血预测模型相关研究信息，检索时限为建库至2022年12月18日。由2位研究员独立筛选文献、提取资料并评价偏倚风险后对纳入模型的基本特征和方法论进行系统评价。 结果 纳入20项研究，共30个预测模型 ...
YANG Jiaxin, HE Chunyu, LIU Lei, CHEN Wenbo, XIE Yan
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