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Knowledge of Diabetes Mellitus: Does Gender Make a Difference?
Patrı´cio Fernando Lemes dos Santos,Poliana Rodrigues dos Santos,Graziele Souza Lira Ferrari,Gisele Almeida Amaral Fonseca,Carlos Kusano Bucalen Ferrari 질병관리본부 2014 Osong Public Health and Research Persptectives Vol.5 No.4
Objective: Diabetes mellitus (DM) is a chronic disease considered an important public health problem. In recent years, its prevalence has been exponentially rising in many developing countries. Chronic complications of DM are important causes of morbidity and mortality among patients, which impair their health and quality of life. Knowledge on disease prevention, etiology, and management is essential to deal with parents, patients, and caregivers. The aim of this study was to evaluate the knowledge regarding DM in an adult population from a Middle-western Brazilian city. Methods: This was a cross-sectional study covering 178 adults, aged 18-64 years, who answered a diabetes knowledge questionnaire. In order to identify the difference between groups, analysis of variance was used. Results: Higher knowledge scores were found regarding the role of sugars on DM causality, diabetic foot care, and the effects of DM on patients (blindness, impaired wound healing, and male sexual dysfunction). However, lower scores were found amongst types of DM, hyperglycemic symptoms, and normal blood glucose levels. Females tended to achieve better knowledge scores than males. Conclusion: Women had better knowledge regarding types of DM, normal blood glucose values, and consequences of hyperglycemia revealed that diabetes education should be improved.
Clinical-pathologic profile of head and neck rhabdomyosarcoma in children: a systematic review
Ludimila Lem es Moura(Ludimila Lemes Moura ),Beatriz Della Terra Mouco Garrido(Beatriz Della Terra Mouco Garrido ),Nelson Leonel Del Hierro Polanco(Nelson Leonel Del Hierro Polanco ),Mattheus Augusto 대한구강악안면외과학회 2023 대한구강악안면외과학회지 Vol.49 No.2
This systematic review aimed to analyze the clinicopathological profile and relevant prognostic factors of head and neck rhabdomyosarcoma in pediatric patients. The search was carried out in the electronic search portals PubMed, Lilacs, Embase, Scopus, and Web of Science. The search yielded studies that were then analyzed regarding study topic, data extraction, and risk of bias using the STROBE (Strengthening the Reporting of Observational Studies) guidelines. Finally, three studies were included for qualitative analysis. Most of the cases involved embryonic and alveolar rhabdomyosarcoma. Expression of MYOD1 was highly correlated with diagnosis of spindle cell/sclerosing rhabdomyosarcoma, which appears to have a poor prognosis in children. Furthermore, tumor size <5 cm and absence of metastasis accompanied by complete resection and administration of adjuvant therapies such as chemotherapy and radiotherapy favored a better prognosis.
Gisele S. Porto,Raquel A. Leme,Alais M. Dall Agnol,Tatiana C.G.D. de Souza,Amauri A. Alfieri,Alice F. Alfieri 대한수의학회 2021 Journal of Veterinary Science Vol.22 No.6
Background: Suid gammaherpesvirus 3, 4, and 5 (porcine lymphotropic herpesvirus – PLHV-1, -2, and -3) are viruses that infect domestic and feral pigs. Objectives: This study examined the presence of PLHV DNA in biological samples from free-living wild boars circulating in a Brazilian geographical region with a high density of commercial domestic pigs. Methods: Lung samples of 50 free-living wild boars were collected by exotic wildlife controller agents between 2017 and 2019 in the state of Paraná, southern Brazil. Lung and spleen fragments were obtained from six fetuses collected by hysterectomy post mortem from a pregnant sow. A polymerase chain reaction (PCR) assay using consensus primers (pan-herpesviruses) was performed to detect PLHV DNA. The samples showing positive results for PLHV DNA were submitted to single-round PCR assays with the specific primers for identifying PLHV-1 (213-S/215-As), PLHV-2 (208-S/212-As), and PLHV-3 (886s/886As). The specificity of the species-specific PCR products was assessed by nucleotide sequencing of the amplicons. Results: Forty-eight (96%) of the 50 lung samples analyzed were positive for PLHV by PCR using pan-herpesvirus primers. In 33 (68.75%) of the positive samples, at least two PLHV species were identified simultaneously. The DNA of PLHV-1, -2, and -3 was found in free-living wild boars of all ages, but not in the fetuses, even though they were from a sow that tested positive for all three viruses. Conclusion: These viruses are endemic to the population of feral pigs in the Brazilian region evaluated, as well as in domesticated pigs.
Pedro H. A. Lima,Ígor J. M. Lemes,Rafael C. Barros,Ricardo A.M. Silveira 한국강구조학회 2023 International Journal of Steel Structures Vol.23 No.5
In the computational efficiency context, combining response precision and low execution time, methods that consider concentrated non-linear effects are interesting. The refined plastic hinge method (RPHM) considers the plasticity effects exclusively at the nodal points of the finite element mesh, however, it was developed for steel structures, with elastic-perfectly plastic behavior. In this methodology, rotational pseudo-springs in the finite elements ends are responsible to introduce the flexural stiffness degradation due to material non-linearity while the one-dimensional elements remain in the elastic state. The present work aims to study the inclusion of the flexural stiffness degradation of steel–concrete composite structural elements under monotonic loads, considering the cracking effects through the Branson equation, coupled to RPHM. For this, it is necessary to delimit the uncracked and cracked behavior of the cross-section. Thus, the strain compatibility method was used, in which, through the study of the cross-sectional behavior, interaction curves are obtained for the determination of elastic/elasto-plastic/plastic and uncracked/cracked states. Furthermore, this proposition is applied in a displacement-based formulation for the evaluation of the global behavior of steel–concrete composite elements. Comparisons are made between the results obtained here and those available in the literature, in the experimental and numerical contexts. These comparisons indicated for the validation of the numerical procedure proposed and implemented here, highlighting the precision of the formulation in both the pre- and post-critical structures behavior.
Clustering Wear Particle Using Computer Vision and Self-Organizing Maps
Marcos Alessandro C. Ramos,Bruno Cesar C. Leme,Luis Fernando de Almeida,Francisco Carlos P. Bizarria,Walter P. Bizarria 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
This work presents the implementation of a method for classification of wear particle contaminant present in industrial oil by using image processing and neural networks. It is based on morphological data obtained from a computer vision system and employs Self-Organizing Maps to classify particles’ features intro different wear debris groups. The dataset used for training the neural network and further validation of the results was gathered using reports provided by a specialist company in wear particle analysis. The objective is to develop a system feasible for most industries to turn the process of particle classification more autonomous and faster. The results demonstrate that our proposed system could classify particles considering their shape in a reliable and autonomous way.