Assessment of external apical root resorption following En-masse and two steps retraction in maxillary protrusion cases: A randomized controlled clinical trial

Aim: The aim of this study was to investigate the degree of external apical root resorption (EARR) following En-masse retraction (EM) and compared it to two steps retraction technique (TS) using friction mechanics. Materials and Methods: Thirty adult female with maxillary protrusion were randomly allocated by a computer sequence generator with 1:1 allocation ratio. EM group (mean age = 17.7 ± 1.89 years) and TS group (mean age = 17.7 ± 1.77 years). Mini-screws were inserted followed by first premolars extraction then randomization was accomplished. Patients received treatment with either EM procedure or TS to close the extraction spaces after alignment and leveling with the same pre-adjusted fixed appliances. Pre- and post treatment CBCT images of both groups was used to evaluate the EARR from (T0) start of retraction till end of space closure (T1). Results: The data of 20 patients (10 in EM group and 10 in TS group) were analyzed. EARR was detected in both groups with more root resorption in EM group by total average decrease in root length by -1.14 mm while in TS group by -0.66 mm as an average decrease in root length. Conclusion: The difference in EARR between the study groups was statistically significant. The highest RR values were found in TS group to be -1.01 mm in upper left central (UL1), while the greatest RR in EM group to be -1.5 mm in upper left canine (UL3)

Parents’ Acceptance to Alveolar and Nasoalveolar Molding Appliances during Early Cleft Lip and Palate Care: A Call for High-Quality Research

AIM: Acceptance and compliance of the parents are an essential pillar in the success of pre-surgical infant orthopedic (PSIO) treatment. The aim of this systematic review is to evaluate the burden of care associated with the alveolar molding (AM) and nasoalveolar molding (NAM) appliances as experienced by the parents with unilateral complete cleft lip and palate (UCLP) infants. METHODS: An electronic search was carried on by two reviewers in eight search engines, as well as a manual search till July 2019. Randomized controlled trials (RCTs) comparing AM/NAM appliances to controls in infants with UCLP were selected. Risk of bias was evaluated using Cochrane risk of bias assessment tool for RCTs. RESULTS: One RCT was included in the qualitative analysis. Non-significant differences were found in the amount of mothers’ satisfaction between the intervention and control groups. CONCLUSIONS: Insufficient low-quality evidence is available regarding the effects of AM and NAM on parents’ satisfaction and burden of care. No conclusions can be withdrawn from the existing studies. High-quality research is needed to elucidate the degree of parents’ acceptance to the molding appliances. PROSPERO registration number: CRD42016043174

Transverse Skeletal Effects of Rapid Maxillary Expansion in Pre and Post Pubertal Subjects: A Systematic Review: A Systematic Review.

OBJECTIVE: The aim of this systematic review was to assess the transverse skeletal effects of rapid maxillary expansion (RME) in pre and post-pubertal subjects. MATERIAL AND METHODS: Five databases were searched till May 2018; Pubmed, Cochrane, Scopus, Lilacs and Web of science in addition to the manual search of other sources. There were no language restrictions. Methodological Index for Non-Randomized Studies MINORS was used to assess the quality and risk of bias of the trials included. RESULTS: Six studies were finally included in the qualitative analysis. A meta-analysis wasn’t performed due to the heterogeneity of methodologies and outcomes. All of the included studies showed drawbacks in their structure yielding weak evidence. On the short term, RME caused an increase in the maxillary and lateral-nasal widths in pre-pubertal subjects by 3.4 mm and 3.3 mm, and by 2.8 and 2.2 mm respectively in post-pubertal subjects. Although statistically insignificant, the maxillary width increase was more than that of the post-pubertal subjects by 0.6 mm. Over the long term, expansion produced permanent increases in the transverse dimensions of both the dento-alveolar and skeletal components of the maxilla and circum-maxillary structures in pre-pubertal subjects. The post-pubertal subjects presented with a statistically significant increase only in the later-nasal width by 1.3 mm than the untreated controls with no permanent increase in the skeletal maxillary width. CONCLUSION: The literature is very deficient regarding the use of skeletal age as a reference in the treatment of skeletal crossbites using RME. Only weak evidence exists supporting the increased maxillary and lateral-nasal widths after tooth-tissue borne RME in pre-pubertal subjects, with these effects being less in the post-pubertal ones

Electrical power output prediction of combined cycle power plants using a recurrent neural network optimized by waterwheel plant algorithm

It is difficult to analyze and anticipate the power output of Combined Cycle Power Plants (CCPPs) when considering operational thermal variables such as ambient pressure, vacuum, relative humidity, and temperature. Our data visualization study shows strong non-linearity in the experimental data. We observe that CCPP energy production increases linearly with temperature but not pressure. We offer the Waterwheel Plant Algorithm (WWPA), a unique metaheuristic optimization method, to fine-tune Recurrent Neural Network hyperparameters to improve prediction accuracy. A robust mathematical model for energy production prediction is built and validated using anticipated and experimental data residuals. The residuals’ uniformity above and below the regression line suggests acceptable prediction errors. Our mathematical model has an R-squared value of 0.935 and 0.999 during training and testing, demonstrating its outstanding predictive accuracy. This research provides an accurate way to forecast CCPP energy output, which could improve operational efficiency and resource utilization in these power plants

The Biography of Muslim Ibn Abi Maryam and the Issue of Dreading from Elevating the Hadith

This research deals with the biography of Muslim Ibn Abi Maryam and the issue of dreading from elevating the hadith. His biography was presented including his name and lineage, the names of his teachers and pupils, and the scholars’ sayings, including the saying of Al-Imam Maliki.  It has been found from the study that all of his teachers are Medinans. What he narrated from the hadith is not proportional with the number of his teachers, as his hadith via them is supposed to be more than what we have found. It has been shown by the researchers that Muslim’s dreading from elevating the hadith led him to shorten the Isnad and not to elevate the Marfou’ hadith، which in its turn forced his students to narrate the  accounts that he elevated and leave the non-elevated ones. The research adopted the inductive method by collecting the sayings of scholars about Muslim Ibn Abi Maryam, collecting his narrations, and tracking what serves the title of the research, the analytical method by analyzing what was collected from the scientific material, and extracting the issues that serve the topic and clarify its aspects and the critical method by criticizing the hadiths narrated by Muslim Ibn Abi Maryam. The research found that the contradiction between elevating or not elevating the hadith in the practice of Ibn Maryam is not a kind of (i'llah) (a hidden deceit), as he practiced that in purpose, i.e. deliberately not accidentally or mistakenly

Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars

Genetic improvement mainly depends on the level of genetic variability present in the population, and the degree of genetic diversity in a population largely determines the rate of genetic advancement. For analyzing genetic diversity and determining cultivar identities, a molecular marker is a useful tool. Using 30 SSR (simple sequence repeat) and 30 RAPD (randomly amplified polymorphic DNA) markers, this study evaluated the genetic divergence of 17 mango cultivars. The effectiveness of the two marker systems was evaluated using their genetic diversity characteristics. Additionally, the effects of SM (simple matching) and Dice similarity coefficients and their effects on mango clustering were evaluated. The findings showed that SSR markers generated 192 alleles, all of which were polymorphic (100%). With RAPD markers, 434 bands were obtained, 361 of which were polymorphic (83%). The average polymorphic information content (PIC) for RAPD and SSR was 0.378 and 0.735, respectively. Using SSR markers resulted in much higher values for other genetic diversity parameters compared to RAPD markers. Furthermore, grouping the genotypes according to the two similarity coefficients without detailed consideration of these coefficients could not influence the study results. The RAPD markers OPA_01, OPM_12 followed by OPO_12 and SSR markers MIAC_4, MIAC_5 followed by mMiCIR_21 were the most informative in terms of describing genetic variability among the cultivars under study; they can be used in further investigations such as genetic mapping or marker-assisted selection. Overall, ‘Zebda’ cultivar was the most diverse of the studied cultivars

Characteristics and predictors of mortality of patients with hematologic malignancies requiring invasive mechanical ventilation

Rationale: Acute respiratory failure (ARF) may complicate the course of hematologic malignancies (HMs). Our objective was to study the characteristics, outcomes and predictors of mortality of patients with HMs who required intubation for ARF. Methods: This retrospective cohort study evaluated all patients with HMs who were admitted to the Intensive Care Unit (ICU) of King Abdul-Aziz Medical City-Riyadh between 2008 and 2013 and required invasive mechanical ventilation. We noted their baseline characteristics, treatments and different outcomes. Multivariable logistic regression analysis was performed to evaluate predictors of hospital mortality. Results: During the 6-year period, 190 patients with HMs were admitted to the ICU and 122 (64.2%) required intubation for ARF. These patients had mean age of 57.2 ± 19.3 years and Acute Physiology and Chronic Health Evaluation II score of 28.0 ± 7.8 and were predominantly males (63.4%). Lymphoma (44.3%) and acute leukemia (38.5%) were the most common hematologic malignancy. Noninvasive ventilation (NIV) was tried in 22 patients (18.0%) but failed. The code status was changed to “Do-Not-Resuscitate” for 39 patients (32.0%) during ICU stay. Hospital mortality was 70.5% and most deaths (81.4%) occurred in the ICU. The mortality of patients with “Do-Not-Resuscitate” status was 97.4%. On multivariable logistic regression analysis, male gender (odds ratio (OR), 6.74; 95% confidence interval (CI), 2.24–20.30), septic shock (OR, 6.61; 95% CI, 1.93–22.66) were independent mortality predictors. Remission status, non-NIV failure and chemotherapy during ICU stay were not associated with mortality. Conclusions: Patients with HMs requiring intubation had high mortality (70.5%). Male gender and presence of septic shock were independent predictors of mortality

Stigma and mental health among professionals.

info:eu-repo/semantics/nonPublishe

An Al-Biruni Earth Radius Optimization-Based Deep Convolutional Neural Network for Classifying Monkeypox Disease

Human skin diseases have become increasingly prevalent in recent decades, with millions of individuals in developed countries experiencing monkeypox. Such conditions often carry less obvious but no less devastating risks, including increased vulnerability to monkeypox, cancer, and low self-esteem. Due to the low visual resolution of monkeypox disease images, medical specialists with high-level tools are typically required for a proper diagnosis. The manual diagnosis of monkeypox disease is subjective, time-consuming, and labor-intensive. Therefore, it is necessary to create a computer-aided approach for the automated diagnosis of monkeypox disease. Most research articles on monkeypox disease relied on convolutional neural networks (CNNs) and using classical loss functions, allowing them to pick up discriminative elements in monkeypox images. To enhance this, a novel framework using Al-Biruni Earth radius (BER) optimization-based stochastic fractal search (BERSFS) is proposed to fine-tune the deep CNN layers for classifying monkeypox disease from images. As a first step in the proposed approach, we use deep CNN-based models to learn the embedding of input images in Euclidean space. In the second step, we use an optimized classification model based on the triplet loss function to calculate the distance between pairs of images in Euclidean space and learn features that may be used to distinguish between different cases, including monkeypox cases. The proposed approach uses images of human skin diseases obtained from an African hospital. The experimental results of the study demonstrate the proposed framework’s efficacy, as it outperforms numerous examples of prior research on skin disease problems. On the other hand, statistical experiments with Wilcoxon and analysis of variance (ANOVA) tests are conducted to evaluate the proposed approach in terms of effectiveness and stability. The recorded results confirm the superiority of the proposed method when compared with other optimization algorithms and machine learning models