Background: The primary stability of the dental implant is a crucial factor determining the ability to initiate temporary implant-supported prosthesis and for subsequent successful osseointegration, especially in the maxillary non-molar sites. This study assessed the reliability of the insertion torque of dental implants by relating it to the implant stability quotient values measured by the Osstell device. Material and methods: This study included healthy, non-smoker patients with no history of diabetes or other metabolic, or debilitating diseases that may affect bone healing, having non-restorable fractured teeth and retained roots in the maxillary non-molar sites. Primary dental implant stability was evaluated using a torque ratc

Determining risk indicators for dental implants is an essential strategy for preventing peri-implant diseases and effective diagnosis of dental implant success. To investigate the impact of certain potential factors on the osseointegrated dental implant. Eighty-four individuals were included in our study, 50 cases as a patient’s group and 34 participants as a control group. All cases were diagnosed based on certain criteria, 30 (60%) of patients had peri-implantitis, 20 (40%) with severe periimplantitis, 36(72%) were generalized, and 15 (30%) as localized peri-implantitis cases. The study has indicated that 44.7% of dental implants were in the anterior maxilla, followed by (27.3%) posterior maxilla, (17.4%) posterior mandible, and (10.4%)

The study aimed to analyze the effect of meteorological factors (rainfall rate and temperature) on the change in land use in the marshes of the Al‐Majar Al‐Kabir region in southern Iraq. Satellite images from Landsat 7 for 2012 and Landsat 8 for 2022 were used to monitor changes in the land coverings, the images taken from the Enhanced Thematic Mapper Plus (ETM+) and Operational Land Imager (OLI) sensors of the Landsat satellite. Geometric correction was used to convert images into a format with precise geographic coordinates using ArcMap 10.5. The maximum likelihood classification method was used to examine satellite image data using a supervised approach, and the data were analyzed statistically. We obtained clear images of the area,

ينطبق مصطلح الفاعلين من غير الدول على جميع القوى أو المنظمات أو الجهات التي لا تؤسسها الدولة ولا تكون طرفاً فيها، ولها هويتها الخاصة، وتتمتع بإستقلال تام عن تمويل ومراقبة الحكومات، وتمتلك مواردها الخاصة التي تضمن لها تحقيق أهدافها في البيئة التي تنشط فيها. إن الفواعل من غير الدول بوصفها كيانات إجتماعية أو إقتصادية غير حكومية ، قد جاءت نتيجة التحول الحاصل في بنية النظام الدولي والسياسة الدولية بإتجاه النظام

    Economic life in any of the countries depends mainly on economic activity due to its great role in meeting the needs and expenditures of the state . therefore ، Bahrain played a major role in commercial exchange operation ،  whether at home or abroad . whatever the matter

Despite the growing interest in the subject of the environment and environmental pollution and the increasing of scientific studies to measure the environmental cost, but it still suffers shortcomings and incompleteness due to the difficulties facing the process of measuring of these costs , Due to lack of the possibility of determining the monetary value to it.

             The research began trying to develop solutions to the problem of the research , which is the actual measuring nothingness of environmental pollution for research sample plant and It’s comparison to local and international environmental pollution standards , for the purpose of adoption in the imposi

Economic life in any of the countries depends mainly on economic activity due to its great role in meeting the needs and expenditures of the state . therefore ، Bahrain played a major role in commercial exchange operation ،  whether at home or abroad . whatever the matter

              The current paper proposes a new estimator for the linear regression model parameters under Big Data circumstances.  From the diversity of Big Data variables comes many challenges that  can be interesting to the  researchers who try their best to find new and novel methods to estimate the parameters of linear regression model. Data has been collected by Central Statistical Organization IRAQ, and the child labor in Iraq has been chosen as data. Child labor is the most vital phenomena that both society and education are suffering from and it affects the future of our next generation. Two methods have been selected to estimate the parameter