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SNI/SNI Digital-Baghdad neurosurgery educational series
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Background:

Access to high-quality neurosurgery online learning is limited in low- and middle-income countries, and Iraq is part of this category. The need for collaboration and connection of people worldwide to exchange ideas and experiences in neurosurgery is a challenge. Surgical Neurology International® (SNI)/SNI Digital stimulated the establishment of the joint effort to bring the discussion about the best experiences in neurosurgery from the United States and Iraq together in an internet meeting format.

Methods:

An online survey was formulated and distributed to the attendees of the SNI-Baghdad neurosurgery meetings. The survey investigates the last 14 consecutive meetings for the period May/2021–April/2022. The online survey was designed utilizing Google Forms. The survey outline includes demographics, general aspects of the meetings, research aspects, surgical anatomy, neuroradiology, and capacity-building aspects. All these sections of the survey used a 5-point Likert scale.

Results:

The total number of participants was 84 out of 115 sent, with a response rate of 73.1%. The participants were diverse as they ranged from medical students to attending neurosurgeons. The male-to-female ratio was 1:1. Most attendees were from Baghdad (n = 66 [77.6%]) and the highest number of the responders was from the University of Baghdad (n = 46 [54.1%]).

Conclusion:

The targeted online collaborative meetings, SNI-Baghdad neurosurgery meeting as an example, give an insight into the effectiveness of such methods in providing a mutually beneficial educational experience between people of different parts of the world, as assessed by a survey initiated and performed by the attendees.

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Publication Date
Sun Sep 03 2017
Journal Name
Baghdad Science Journal
Keys for Isolation suborders and Families and genera and species of Book and Bark lice in Baghdad and Babylon [Order PSOCOPTERA]
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A taxonomic keys was established of book and bark lice Order Psocoptera to isolated insects in Iraq from different localities of Baghdad and Babylon provinces. Thirteen species belong to eight genera and five families have been studied and described in details, these species were recorded for the first time in Iraq. These species are: Belaphopsocus badonneli New, 1971; Belaphotroctes oculeris Bodonnel, 1973; Embodopsocosis newi Bodonnel, 1973; Epipsocus stigamaticus Mockeord, 1991; Lepinotus huoni Schmidt and New, 2008; Liposcelies decolor Peramane 1925 Liposcelies paeta Pearman 1942 Liposclies bostrychphila Badonnel 1931; Liposclies brunnea Mostchulsky 1852; Liposclies entoophila Enderlein 1907; Neopsocopsis minuscule Li 2002 ;

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مجلة تكريت للعلوم الادارية والاقتصادية
The role of strategic auditing of human resources management in crystallizing organizational capabilities: A prospective study at the University of Baghdad
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Mon Dec 30 2024
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Cumhuriyet Üniversitesi Fen-edebiyat Fakültesi Sosyal Bilimler Dergisi
French Language in Iraq: Study of the Relationship between University Education and Social Activities (The Case of the University of Baghdad)
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Cumhuriyet Üniversitesi Fen-Edebiyat Fakültesi Sosyal Bilimler Dergisi | Volume: 48 Issue: 2

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Publication Date
Thu Jun 18 2026
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Journal Of Baghdad College Of Dentistry
Periodontal health status in relation to physicochemical characteristics of saliva among pre-menopausal and post-menopausal women in Baghdad city-Iraq
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Thu Jun 01 2017
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Journal Of Economics And Administrative Sciences
Robust Queues Models and its Role in Improving Performance in the City of Medicine / Baghdad Teaching Hospital / Clinic Internal Medicine Advisory
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Publication Date
Sun Sep 27 2020
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Iraqi National Journal Of Nursing Specialties
Effectiveness of an Instructional Program Concerning Healthy Lifestyle on Patients’ Attitudes after Percutaneous Coronary Intervention at Cardiac Centers in Baghdad City
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Wed Feb 01 2017
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A comparison between the logistic regression model and Linear Discriminant analysis using Principal Component unemployment data for the province of Baghdad
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Thu Sep 01 2016
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Application of Artificial Neural Network for Predicting Iron Concentration in the Location of Al-Wahda Water Treatment Plant in Baghdad City
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