ABSTRACT Background: Diabetes and periodontitis are complicated prolonged disorders through a recognized two-way association. There is elongated-conventional mark that hyperglycaemia in diabetes is affected on immune-inflammatory response and disturb the action of osteoclast and in balance bone turnover, which might rise the person vulnerability to the progress of prolonged periodontitis. Osteocalcin is one of the greatest plentiful matrix proteins originate in bones and produced absolutely there. Small osteocalcin crumbles are noticed in regions of bone remodeling and are in fact degradation products of the bone matrix, that is released outside cells into the Gingival Crevicular Fluid (GCF) and saliva after destruction of periodontal tissue during periodontitis Materials and Methods: Eighty patients with Type2Diabetes Maleates (T2DM), males and females, were recruited for the study, with an age range of (30-50) years were divided into four groups, (20 subjects each): poorly controlled Type 2Diabetes Mellitus with chronic periodontitis group (CP+pT2DM ) and well controlled Type 2Diabetes Mellitus with chronic periodontitis group(CP+wT2M) , group of patients with only chronic periodontitis (CP )and control group with healthy periodontium and systemically healthy. From all subjects five ml of unstimulated whole salivary samples were collected, then, the samples were centrifuged and the supernatants were collected and kept frozen until the biochemical analysis to measure OC concentrations then clinical periodontal parameters (plaque index, gingival index, bleeding on probing, probing pocket depth and clinical attachment loss) were recorded for all subjects at four sites per tooth except for the third molars. Results: The results of this study revealed highly significant differences among all study and control groups for all the clinical periodontal parameters (plaque index, probing pocket depth, clinical attachment loss) ,and OC concentrations. Additionally patients had chronic periodontitis with poorly controlled Type 2Diabetes Mellitus(CP+pT2DM )demonstrated the highest median values of all clinical periodontal parameters and highest increase in levels of salivary OC followed by CP+wT2M group then CP and Control groups. The current study demonstrates the correlation between OC concentrations with each one of the clinical parameters.It revealed highly significant strong positive correlations with PLI, GI and BOP score 1, while highly significant strong negative correlations with PPD. Also, non-significant weak positive correlation existed with CAL in CP+pT2DM group. Also, high significant strong positive correlation with PLI, GI, BOP and CAL; while, non-significant weak positive correlation with PPD in CP+wT2M group . High-significant strong positive correlation with BOP and CAL, as well as, high significant moderate positive correlation with PPD and significant weak positive correlation with PLI, while non-significant weak positive correlation with GI existed in CP group .Finally, high significant moderate positive correlation with PLI and GI existed in the Control group. Conclusion: Patients with poor glycemic control had more severe periodontal tissue break down with increase in levels of OC than well controlled type 2 diabetic patients and non-diabetic patients all of them with chronic periodontitis. So, this biochemical marker may be useful of periodontal tissue destruction and allowed practitioners for early diagnosis, prognosis and efficient management of periodontal diseases and type 2 diabetes mellitus
In this study, a genetic algorithm (GA) is used to detect damage in curved beam model, stiffness as well as mass matrices of the curved beam elements is formulated using Hamilton's principle. Each node of the curved beam element possesses seven degrees of freedom including the warping degree of freedom. The curved beam element had been derived based on the Kang and Yoo’s thin-walled curved beam theory. The identification of damage is formulated as an optimization problem, binary and continuous genetic algorithms
(BGA, CGA) are used to detect and locate the damage using two objective functions (change in natural frequencies, Modal Assurance Criterion MAC). The results show the objective function based on change in natural frequency i
Nanopesticides are novel plant protection products offering numerous benefits. Because nanoparticles behave differently from dissolved chemicals, the environmental risks of these materials could differ from conventional pesticides. We used soil–earthworm systems to compare the fate and uptake of analytical‐grade bifenthrin to that of bifenthrin in traditional and nanoencapsulated formulations. Apparent sorption coefficients for bifenthrin were up to 3.8 times lower in the nano treatments than in the non‐nano treatments, whereas dissipation half‐lives of the nano treatments were up to 2 times longer. Earthworms in the nano treatments accumulated approximately 50% more b
Air pollution is one of the complex problems plaguing the environment at the present time
as a result of many liberation of gases, vapors and fumes of fuels and chemicals resulting
from industrial activities . It should be noted that there are some elements of the heavy (Heavy
Metals), including toxic in the air, with different concentrations in the air depending on the
nature of the area, for example be in rural areas is lower than in cities or industrial areas as
measured parts million (ppm ) or parts per billion (ppb). Some of these important elements in
the physiological processes and enzymatic organisms but become toxic and Qatlhand-increase
Tercisahaan the permissible limits Bhave nature ,The air contaminant co
Air pollution is one of the complex problems plaguing the environment at the present time
as a result of many liberation of gases, vapors and fumes of fuels and chemicals resulting
from industrial activities . It should be noted that there are some elements of the heavy
(Heavy Metals), including toxic in the air, with different concentrations in the air depending
on the nature of the area, for example be in rural areas is lower than in cities or industrial
areas as measured parts million (ppm ) or parts per billion (ppb). Some of these important
elements in the physiological processes and enzymatic organisms but become toxic and
Qatlhand-increase Tercisahaan the permissible limits Bhave nature ,The air contaminant
Purpose: The research aims to build an integrated knowledge framework for the basic research topic. The spirituality of the workplace is through access to the most important scientific proposals on these topics. In management thought framing, the knowledge within them in a serious attempt is to provide the appropriate answers about the intellectual dilemma of research by diagnosing the nature of the relationship with the influential elements and its historical development . Methodology: The study is relied on the analytical survey method. The research sample targeted (88) managers in the center of the Iraqi Ministry of Health exclusively from the researched senior leaders (general manager, assistant general manager, and head of department),
... Show MoreObjective: Geographic differences in clinical and pathological aspects of ameloblastoma have been suggested, therefore the purpose of this study was to analyze cases of ameloblastoma in terms of clinical and radiographic manifestations, histopathological types, treatment modalities and recurrence rate and compare them with reports from other parts of the world. Methods: The medical reports of patients diagnosed with ameloblastoma were reviewed and the data concerning the age, gender, chief complaint, the anatomical site of the lesion, radiographic appearance, histopathological diagnosis, treatment approach and recurrence were retrieved. Surgical treatment consisted of either enucleation with curettage and peripheral ostectomy or resection;
... Show MoreVision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis systems play an essential role in detecting features in fundus images. Fundus images may include blood vessels, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are app