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| 1 | Isolated metastasis of uterine leiomyosarcoma to the pancreas: Report of a case and review of the literature显示文摘 | Safak Ozturk Mutlu Unver Burcin Kibar Ozturk Osman Bozb?y?k Varl?k Erol Eyup Kebabc? Mustafa Olmez Nihat Zalluhoglu Umit Bayol | 2014 | International Journal of Surgery Case Reports2014，，： | 1 |
| 2 | People's Visual Perceptions of Tourism Buildings and Their Environments显示文摘 | Hacer Mutlu Danaci Selcuk Sayan Osman Karaguzel | 2012 | Journal of Literature and Art Studies2012，2，9： | 0 |
| 3 | Notaras procedure for incarcerated rectal prolapse显示文摘Patients with an incarcerated rectal prolapse usually present in the emergency department where manual reduction is first attempted. If reduction is unsuccessful, an emergency laparotomy and internal reduction is required. Edema in the rectal and perineal tissues and impaired blood flow are the main factors for a high percentage of anastomotic leaks. The traditional single stage perineal rectosigmoidectomy is not a safe surgical procedure for treating incarcerated or strangulated rectal prolapses associated with severe edema. Herein we report a case of an incarcerated rectal prolapse treated with the Notaras procedure. | Mutlu Unver Safak Ozturk Osman Bozbιyιk Varlιk Erol Gokhan Akbulut | 2014 | World Journal of Surgical Procedures2014，4，1： | 0 |
| 4 | 土耳其人Duane眼球后退综合征的临床特点及手术疗效分析(英文)显示文摘目的:分析Duane眼球后退综合征(DRS)患者的临床特点及手术疗效。方法:评估94例DRS患者临床数据。记录完整的眼科数据,包括年龄、性别、侧位、DRS类型、偏角、异常头部姿势(AHP)、眼球后退、过冲及手术入路类型。结果:患者年龄为15.4±9.18岁,其中78例男性,16例女性。单侧和双侧受累分别为87%和13%。在单侧DRS患者中,左眼占65%。94例患者中,59.5%的患者为I型,29.7%的患者为II型,8.5%的患者为III型,2.1%的患者为IV型。大多数患者(36,38%)为嗜热性,43例(96%)患者术前AHP出现10°以上。有40例(43%)患者出现过度调校,通常为II型。对45例(48%)患者进行手术治疗。共32例(78%)行水平直肌手术后获得了较好疗效,24例(53%)患者AHP改善。结论:侧直肌的Y分裂和后榫固定在有明显过校的情况下都有令人满意的结果。垂直直肌转位增强术在限制外展方面取得了最佳效果。 | Osman Melih Ceylan Adem Turk Gken Gkce ?nder Ayyildiz Fatih Mehmet Mutlu Halil Ibrahim Altinsoy | 2019 | 国际眼科杂志2019，19，5： | 0 |
| 5 | Cross-Context News Corpus for Protest Event-Related Knowledge Base Construction显示文摘We describe a gold standard corpus of protest events that comprise various local and international English language sources from various countries.The corpus contains document-,sentence-,and token-level annotations.This corpus facilitates creating machine learning models that automatically classify news articles and extract protest event-related information,constructing knowledge bases that enable comparative social and political science studies.For each news source,the annotation starts with random samples of news articles and continues with samples drawn using active learning.Each batch of samples is annotated by two social and political scientists,adjudicated by an annotation supervisor,and improved by identifying annotation errors semi-automatically.We found that the corpus possesses the variety and quality that are necessary to develop and benchmark text classification and event extraction systems in a cross-context setting,contributing to the generalizability and robustness of automated text processing systems.This corpus and the reported results will establish a common foundation in automated protest event collection studies,which is currently lacking in the literature. | Ali Hürriyetoglu Erdem Yörük Osman Mutlu Fırat Durusan ÇagrıYoltar Deniz Yüret Burak Gürel | 2021 | Data Intelligence2021，3，2： | 0 |
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