Background: Information concerning the maximum bite force in human population is important to clinical orthodontics. Additionally, the influence of bite force on the vertical stability of any treatment result is important. The new position of the dentition should be compatible with the dynamics of the muscular and occlusal forces in all planes. This study was conducted to 1) to measure and compare maximum bite force, body height and weight among normal occlusion and malocclusion groups (cl I,cl II,cl III) in both gender 2) to evaluate the correlation between bite force and craniofacial morphology, body height and weight. Materials and Methods: The sample consists of 100 Iraqi adult subjects aged 18-25 years. It was classified in to four groups: cl I normal occlusion, cl I malocclusion, cl II malocclusion, and cl III malocclusion according to(skeletal) the value of ANB angle and (dental)the Angle classification. Each group consist of 25 (13 male, 12 female), Maximum bite force was measured by a digital device (GM10, Naganokeiki, Japan) by putting the sensor part of occlusal force meter on first molar region, body height and weight were measured by using the Length and Weight Measuring Standard (Tanita, 2008) and craniofacial measurements were achieved by analysis of lateral cephalometric radiograph Results: The highest mean value of maximum bite force was found in normal occlusion followed by class II malocclusion and then class I malocclusion and the lowest value was found in class III malocclusion, class I skeletal relationship (cl I normal occlusion & cl I malocclusion group) had larger values of body weight when compared with skeletal class II& class III .Regarding the gender, mean values of maximum bite force and body height are higher in male than female in normal occlusion and malocclusion groups, There is a positive correlation between maximum bite force and body height and weight in normal occlusion and class I malocclusion ,there is a positive correlation between maximum bite force and palatal plane, Ramus plane, mandibular plane, posterior facial height, cranial base, dentoalveolar height, while there is a negative correlation with anterior facial height, Gonial angle, SN-Mp?,PP-MP&SN-PP? angles. Conclusion: The normal occlusion group had larger values of bite force than malocclusion group,the maximum bite force, body height is gender related, larger body build up was usually associated with larger bite force in class I skeletal relationship, Individuals with characteristics of larger maxilla ,larger mandible, larger cranial base ,short anterior facial height long posterior facial height, flat mandibular plane had the largest value of bite force.
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Addressed this research the impact of intelligence emotional dimensions of the main(self awareness, and self-management, and social awareness, and relationship management) in the performance excellence the university(performance optimization, and strategic development) this is by middling the styles decision making which are (rational and intuitive, and dependent, and spontaneous, and avoidant), and Go search of an intellectual dilemma raise fundamental questions revolve around the search was to answer those questions through a theoretical framework for search variables first and test models of the relationship and second through the impact six hypotheses President.The objective of the research to make sure the contr
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Abstract
The Non - Homogeneous Poisson process is considered as one of the statistical subjects which had an importance in other sciences and a large application in different areas as waiting raws and rectifiable systems method , computer and communication systems and the theory of reliability and many other, also it used in modeling the phenomenon that occurred by unfixed way over time (all events that changed by time).
This research deals with some of the basic concepts that are related to the Non - Homogeneous Poisson process , This research carried out two models of the Non - Homogeneous Poisson process which are the power law model , and Musa –okumto , to estimate th
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The ability of the human brain to communicate with its environment has become a reality through the use of a Brain-Computer Interface (BCI)-based mechanism. Electroencephalography (EEG) has gained popularity as a non-invasive way of brain connection. Traditionally, the devices were used in clinical settings to detect various brain diseases. However, as technology advances, companies such as Emotiv and NeuroSky are developing low-cost, easily portable EEG-based consumer-grade devices that can be used in various application domains such as gaming, education. This article discusses the parts in which the EEG has been applied and how it has proven beneficial for those with severe motor disorders, rehabilitation, and as a form of communi
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Chitinase-3-like 1 protein (YKL-40) is a glycoprotein primarily produced in the arthritic joint and plays a crucial role in inflammatory processes. The aim of the study is to establish the role of YKL-40 as a biomarker for rheumatoid arthritis (RA) compared to proinflammatory biomarkers and disease activity. The study included 58 patients and 18 control. Diseases activity score (DAS-28) and clinical disease activity index (CDAI) were measured. Serum level of YKL-40, tumor necrosis factor-α (TNF-α), interleukin-1B (IL-1β), erythrocyte sedimentation (ESR), rheumatoid factor (RF), C-reactive protein (CRP), and anti-citrullinated protein antibody (ACPA) were assessed. The results showed that the median serum YKL-40 level which was 5.42
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Autorías: Nuha Mohsin Dhahi, Ahmed Thare Hani, Muwafaq Obayes Khudhair. Localización: Revista iberoamericana de psicología del ejercicio y el deporte. Nº. 6, 2022. Artículo de Revista en Dialnet.
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KE Sharquie, AA Noaimi, AS Alaboudi, Journal of Cosmetics, Dermatological Sciences and Applications, 2012 - Cited by 3
Excessive skewness which occurs sometimes in the data is represented as an obstacle against normal distribution. So, recent studies have witnessed activity in studying the skew-normal distribution (SND) that matches the skewness data which is regarded as a special case of the normal distribution with additional skewness parameter (α), which gives more flexibility to the normal distribution. When estimating the parameters of (SND), we face the problem of the non-linear equation and by using the method of Maximum Likelihood estimation (ML) their solutions will be inaccurate and unreliable. To solve this problem, two methods can be used that are: the genetic algorithm (GA) and the iterative reweighting algorithm (IR) based on the M
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