Relationship between Anger Expression in Mothers and Acceptance of Behavior Management Techniques in Pediatric Dentistry.

Statement of the Problem: The parental acceptance rate of the behavior management methods used in pediatric dentistry is influenced by various factors. Purpose: This study was aimed to investigate the relationship between mothers' anger expression and their acceptance of behavior management methods. Materials and Method: In this cross-sectional study, 110 mothers of children who had less than 12 years of age were recruited. They completed Spielberg's state-trait anger expression inventory (STAXI). The respondents watched an educational video that included explanations of seven behavior management methods. Then, they reported their acceptance of each of these methods using the visual analog scale (VAS). Results: The acceptance rates of behavior management methods from the highest to lowest included tell-show-do, pre-appointment behavior shaping, mouthpiece, voice control, general anesthesia, active restraint, and passive restraint, respectively. There was only a significant inverse relationship between the acceptance of the tell-show-do method and the anger expression (p< 0.05). There was no significant relationship between the acceptance of behavioral management methods and the previous history of a pediatric dental visit, age, and mothers' education. Conclusion: There was a significant inverse relationship between acceptance of the tell-show-do behavioral management method and mothers' anger expression. However, there is no significant relationship between other methods and mothers' anger expression. According to this study, there was a relation between mothers' ages and their acceptance of using a mouthpiece.

The Effect of External Cold and Vibration on Infiltration-Induced Pain in Children: A Randomized Clinical Trial.

Introduction: Children's fear of and anxiety about dental treatments are important problems in maintaining health. The anesthetic injection is the main cause of dental fear. One of the methods to reduce the infiltration-induced pain is to use external cold or vibration using the gate control system. Various devices have been used to apply cold and vibration, including the BUZZY device (BUZZY Company, Arizona). Studies have shown contradictory results for the effectiveness of cold and vibration. This study aimed to investigate the effect of cold and vibration versus cold alone on maxillary infiltration-induced pain and stress. Methods: Thirty children aged 6-12 years who required profound restoration of deciduous or permanent first molars were recruited in this randomized double-blind clinical trial. The anesthetic gel and BUZZY device were used in half of the children's jaws, and the anesthetic gel and the cold alone were used in the other half of the jaws. To measure stress from the heart rate, the Wong-Baker scale was used as the subjective scale, and the face, legs, activity, cry, consolability (FLACC) scale was used as the objective scale. Results: The FLACC score was significantly lower in the BUZZY group than in the cold-alone group, but the Wong-Baker scale and heart rate did not show a significant difference between the two groups. Conclusions: The BUZZY device can be effective in reducing infiltration-induced dental pain.

Comparison of Clinical and Radiographic Success between MTA and Biodentine in Pulpotomy of Primary Mandibular Second Molars with Irreversible Pulpitis: A Randomized Double-Blind Clinical Trial.

Introduction: Among the new therapeutic materials, MTA and Biodentine are recommended for pulpotomy and sealing the pulp. Considering the similar characteristics of these two materials and considering that their effects on the treatment of primary second molars with irreversible pulpitis have not been compared properly, this study aimed to compare clinical and radiographic success between MTA and Biodentine in pulpotomy of primary mandibular second molars with irreversible pulpitis. Materials and Methods: This study was conducted as a randomized double-blind clinical trial. Participants were selected according to inclusion criteria and 52 samples were randomly selected using random numbers table in group A. Then, patients in the next group B were matched with the first group in terms of age range and sex. In group A, the remaining pulp was covered with 2 mm MTA+ and in group B with 3 mm Biodentine. Participants were called for clinical evaluation every three months for 12 months (long-term follow-up). Radiographic evaluations were in the sixth and twelfth months. Results: Fischer's exact test showed that there was no significant difference between MTA and Biodentine in terms of clinical and radiographic success rates (P value = 1). According to the results of the Kaplan-Meier test, the survival rate in both pulp treatment methods was similar in symptomatic teeth. Conclusions: The results of this study showed that Biodentine properties are similar to MTA, and both materials show high clinical and radiographic success rates in long-term follow-up.

Autophagy and Herpesvirus: A collaboration Contributing to Alzheimer's Disease.

Since the 1960s viral pathogenesis researchers have considered herpesviruses as an underlying factor for Alzheimer's disease (AD). We reported molecular interactions between herpes simplex virus type 1 (HSV-1) and the amyloid precursor protein (APP), the parent of amyloid plaques pathognomonic for AD (Sapute-Krishnan et al., 2003 and 2006; Chen et al., 2011, Bearer and Wu, 2019). Furthermore, others report biochemical interactions between HSV-1 and autophagy. Using several brain banks for specimens of four brain regions in post-mortems of individuals with and without cognitive impairment prior to death. Readhead et al. 2018 found molecular-genetic evidence linking activity of 6 different human herpesviruses to AD, including HSV-1, HSV-2, HHN6, HHN7, VZV and CMV to AD. Of these, HHN6, a common virus causing a minor childhood illness thought to be a nuisance, emerged as most significant. Using a quantitative trait loci approach, a network of candidate AD-associated genes were found that correlated with viral load and activity. These ontology networks did not specifically consider autophagy genes. Our hypothesis is that viral replication and egress highjacks cellular membrane systems and thereby alters autophagic function. Those individuals carrying genetic variations that protect against this dynamic will be less vulnerable to cognitive impairment despite viral load, or viral load will be diminished. Here we first prepared lists of autophagy genes (ATG), including 180 we uniquely identified through machine learning, as well as lists from publications (Mitzushima, 2019) and websites (Autophagy Gene List, Tanpaku.org). We applied software developed by Readhead et al. 2018, available through Synapse.com, to expression and sequence data from post-mortem brains obtained from publications and public sites hosted by Alzheimer's Center brain banks. We first determined ATG expression levels correlating with either non-AD (<1 plaque per section, Braak<3, and no dementia, or pre-clinical AD, defined as Braak III-IV with no cognitive impairment. Virtually all ATG were down-regulated in pre-clinical compared to non-AD controls. Next we searched the list of quantitative trait loci (QTL) that correlated with increased viral load and activity for ATG genes from 300+ brains in the Nun's Study brain bank (ROSMAP) and the Mount Sinai Brain Bank (MSBB). Lastly, we correlated those ATG-associated QTL with expression levels of these genes in control and preclinical AD (Liang et al. 2007, 2008 and 2010). We found that decreased ATG expression due to single nucleotide polymorphisms correlate with viral load and AD. This study suggests autophagy is a novel mechanism linking herpesvirus to AD, which may aid in finding new diagnostic and therapeutic targets. Since HHV6 is a common infection of childhood, infecting nearly 100% of humans, identifying genetic vulnerabilities to persistence and progression will be critically important for prevention of adult AD.

FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of Tumors.

The detection of brain tumors using magnetic resonance imaging is currently one of the biggest challenges in artificial intelligence and medical engineering. It is important to identify these brain tumors as early as possible, as they can grow to death. Brain tumors can be classified as benign or malignant. Creating an intelligent medical diagnosis system for the diagnosis of brain tumors from MRI imaging is an integral part of medical engineering as it helps doctors detect brain tumors early and oversee treatment throughout recovery. In this study, a comprehensive approach to diagnosing benign and malignant brain tumors is proposed. The proposed method consists of four parts: image enhancement to reduce noise and unify image size, contrast, and brightness, image segmentation based on morphological operators, feature extraction operations including size reduction and selection of features based on the fractal model, and eventually, feature improvement according to segmentation and selection of optimal class with a fuzzy deep convolutional neural network. The BraTS data set is used as magnetic resonance imaging data in experimental results. A series of evaluation criteria is also compared with previous methods, where the accuracy of the proposed method is 98.68%, which has significant results.