Solomonmcclure3533

8%) followed by Turkey (10.8%) and South Korea (5.2%). The article by Arnheiter, Scarfe, and Farman has received the highest number of citations overall. As first and/or coauthor, Ariji E emerged as a most productive author with 35 publications and Osaka University was determined as the most prominent institutions by publishing the greatest number of articles. More than half of the articles were in the "Diagnosis of Orofacial Diseases" study field.

This bibliometric analysis provides a comprehensive overall picture of the 35years of research progress and publication trends in oral radiology.

This bibliometric analysis provides a comprehensive overall picture of the 35 years of research progress and publication trends in oral radiology.Periosteal fasciitis (PF), a subtype of nodular fasciitis, is an uncommon benign soft-tissue mass that originates from the periosteum or tissues adjacent to bones. PF has rarely seen in children, especially involving in the mandible. This case report presents a rare case of PF originating from the periosteum of the mandible in an 11-year-old girl. Etomoxir She was referred to our hospital with fast-growing painless swelling in her left mandible. Computed tomography revealed an exophytic juxtacortical mass eroding the lower part of the left mandible and lower mandibular cortex with a periosteal reaction. The mass showed low signal intensity on T1-weighted magnetic resonance imaging (MRI) and high signal intensity on T2-weighted MRI. The apparent diffusion coefficient (ADC) of the lesion found to be moderate. Dynamic contrast-enhanced MRI revealed a gradual increment pattern in the central region of the mass. On 18F-fluorodeoxyglucose (FDG) positron-emission tomography/computed tomography (PET/CT), relatively high 18F-FDG uptake was observed on the early scan and the 18F-FDG uptake was declined on the delayed scan. The clinical and conventional radiological findings of the mass were suggestive of malignancy. However, the findings of ADC and dynamic MRI and dual-time-point FDG-PET/CT favored benign etiology over malignant etiology. Histological and immunohistochemical findings along with reactive ossification of the periosteum confirmed the diagnosis of PF. Currently, comprehensive examinations, such as clinical, imaging, and histopathological examinations, are recommended for the definitive diagnosis of PF, while MRI and dual-time-point FDG-PET/CT could have a potential usefulness to differentiate from malignancy.

This study aimed to evaluate and compare sizes, shapes and bridging of the sella turcica (ST) in Yemeni individuals with different skeletal patterns, genders, and ages, and to assess the association between the linear dimension of ST and gender, age, or skeletal patterns. The standard anatomical structure of ST among Yemeni subjects is still unknown and this study can be considered as the first reference regarding ST of Yemeni individuals.

Cephalogram images for 234 subjects (167 females and 67 males) were traced and classified for groups by gender, age, and dentofacial skeletal patterns. Size, shape, and bridging of ST were assessed. Multivariate ANOVA (MANOVA) analysis was used to detect the interaction between gender, age, and skeletal patterns on ST dimensions.

The mean values for length, anteroposterior diameter, and depth of ST were 8.02 ± 1.67, 11.37 ± 1.60, and 8.56 ± 1.26mm, respectively. A significant difference in length of ST between gender and age stages (p < 0.05) was detected while older subjects revealed a greater anteroposterior diameter than younger subjects (p < 0.05). The morphological variations of ST were observed in 55.6% of samples. No significant association between the shape of ST and skeletal patterns (p > 0.05) was found.

ST bridging was highly prevalent in Yemeni subjects (35.9%). Samples showed a higher rate of complete ST bridging in the three skeletal patterns, Class I (17.1%), Class II (18.9%), and Class III (20%). ST dimensions and shape findings in this study can be used as reference standards for further investigation, including the ST area in the Yemeni population.

ST bridging was highly prevalent in Yemeni subjects (35.9%). Samples showed a higher rate of complete ST bridging in the three skeletal patterns, Class I (17.1%), Class II (18.9%), and Class III (20%). ST dimensions and shape findings in this study can be used as reference standards for further investigation, including the ST area in the Yemeni population.In settings with limited mental health system capacity, integrated care and the improvement of patient-provider communication surrounding common mental disorders is critical to advancing treatment outcomes. We trained primary care providers in the Dominican Republic in motivational interviewing (MI) to improve communication with patients experiencing depression and anxiety. Providers were randomized to an intervention group, which received MI training, or a control group. To evaluate the training's effectiveness, patients assessed their clinical encounters using the Motivational Interviewing Measure of Staff Interaction (MIMSI). Trained research assistants (RAs) rated a sub-set of those interactions using an adapted MIMSI instrument. Overall, patients (n = 36) perceived their interactions with providers (n = 10) very positively; however, the RAs' ratings strongly indicated that providers' application of MI behaviors was insufficient. Patients generally could not distinguish between intervention and control providers. Findings underscore the need to carefully consider optimal training delivery and cultural influences surrounding the implementation of MI mental health interventions in settings where directive communication is highly valued.Transmembrane proteins play a vital role in cell life activities. There are several techniques to determine transmembrane protein structures and X-ray crystallography is the primary methodology. However, due to the special properties of transmembrane proteins, it is still hard to determine their structures by X-ray crystallography technique. To reduce experimental consumption and improve experimental efficiency, it is of great significance to develop computational methods for predicting the crystallization propensity of transmembrane proteins. In this work, we proposed a sequence-based machine learning method, namely Prediction of TransMembrane protein Crystallization propensity (PTMC), to predict the propensity of transmembrane protein crystallization. First, we obtained several general sequence features and the specific encoded features of relative solvent accessibility and hydrophobicity. Second, feature selection was employed to filter out redundant and irrelevant features, and the optimal feature subset is composed of hydrophobicity, amino acid composition and relative solvent accessibility.