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Furthermore, comparison with state-of-the-art methods demonstrated the superior effectiveness and robustness of the proposed method. Finally, attention maps were generated to identify subject-specific autism effects, supporting the reasonability of the predictive results. Collectively, these findings demonstrate the utility of our unified framework for the early-stage status prediction of ASD by sMRI. LAY SUMMARY The status prediction of autism spectrum disorder (ASD) at an early age is highly desirable, as early intervention may significantly reduce autism symptoms. However, current methods for diagnosing young children are limited to behavioral assays. In this study, we propose an automated method for ASD status prediction at the age of 24 months that uses infant structural magnetic resonance imaging to identify neural features.

Executive dysfunction is pathognomonic for dementia and impedes the activities of daily living (ADL). This study aimed to examine the relationship of dementia severity with executive dysfunction and ADL in mild cognitive impairment and dementia.

This single-center study enrolled 86 patients (men, 40; women, 46; mean age, 76.1 ± 7.5 years) referred for cognitive and physical rehabilitation between October 2015 and September 2020. The Clinical Dementia Rating (CDR) was 0.5, 1, and ≥2 in 45, 30, and 11 patients, respectively. The presence and severity of executive dysfunction were assessed using the Behavioral Assessment of the Dysexecutive Syndrome-Japanese version (BADS). The ADL and instrumental ADL (IADL) were assessed using the Barthel Index and Frenchay Activities Index (FAI), respectively. We examined the relationship between CDR severity and overall BADS profile score and its sub-items, and that between the overall BADS profile score and IADL.

The cognitive and executive functional assessment scores differed significantly depending on the CDR severity. The CDR severity and overall BADS profile score exhibited significant correlations. The BADS found cognitive impairment in 31%, 70%, and 100% of patients with CDR0.5, CDR1, and CDR≥2, respectively. The FAI score differed according to the CDR severity in women but not in men. The overall profile and age-adjusted BADS scores were strongly correlated with the IADL in women but not in men.

The greater the severity of executive dysfunction, the greater the difficulty in performing ADL. This effect was more pronounced in women and may predict dementia progression. Geriatr Gerontol Int 2021; •• ••-••.

The greater the severity of executive dysfunction, the greater the difficulty in performing ADL. This effect was more pronounced in women and may predict dementia progression. Geriatr Gerontol Int 2021; •• ••-••.A 6 MV flattened beam model for a Varian TrueBeamSTx c-arm treatment delivery system in RayStation, developed and validated at one institution, was implemented and validated at another institution. The only parameter value adjustments were to accommodate machine output at the second institution. Validation followed MPPG 5.a. recommendations, with particular attention paid to IMRT and VMAT deliveries. With this minimal adjustment, the model passed validation across a broad spectrum of treatment plans, measurement devices, and staff who created the test plans and executed the measurements. This work demonstrates the possibility of using a single template model in the same treatment planning system with matched machines in a mixed vendor environment.The study aimed to explore how having achondroplasia affects older children and adolescents' day-to-day functioning and well-being. Individual/focus group interviews were conducted with older children/adolescents between the ages of 9 to less then 18 years and diagnosed with achondroplasia to elicit key concepts. An adapted grounded theory approach informed the qualitative analysis of interview data. Thirty-two children and adolescents completed interviews. Study results revealed five impact domains, including physical health, functioning, school impacts, emotional well-being, and social well-being. Frequently reported impacts on physical health included low stamina/tiring easily (81%) and back pain (69%). Key impacts in the functioning domain were difficulty with reaching objects or high places (84%) and walking long distances (75%). Emotional impacts included feeling different (63%), worried/scared (47%), and embarrassed/self-conscious (47%). Impacts on social well-being included difficulty with sports or physical play (81%) and others treating child as younger than their actual age (75%). The most frequent school impact was trouble participating in physical education (81%). A preliminary theoretical model depicting the experiences of older children/adolescents with achondroplasia was constructed based on the analysis. The preliminary theoretical model of older children and adolescents' experiences of living with achondroplasia may be used to inform future research and clinical practice.Congenital heart disease (CHD) and hypertrophic cardiomyopathy (HCM) are common features in patients affected by RASopathies. The aim of this study was to assess genotype- phenotype correlations, focusing on the cardiac features and outcomes of interventions for cardiac conditions, in a single-center cohort of 116 patients with molecularly confirmed diagnosis of RASopathy, and compare these findings with previously published data. All enrolled patients underwent a comprehensive echocardiographic examination. Relevant information was also retrospectively collected through the analysis of clinical records. As expected, significant associations were found between PTPN11 mutations and pulmonary stenosis (both valvular and supravalvular) and pulmonary valve dysplasia, and between SOS1 mutations and valvular defects. Similarly, HRAS mutations were significantly associated with HCM. DPCPX Potential associations between less prevalent mutations and cardiac defects were also observed, including RIT1 mutations and HCM, SOS2 mutations and septal defects, and SHOC2 mutations and septal and valve abnormalities. Patients with PTPN11 mutations were the most likely to require both a primary treatment (transcatheter or surgical) and surgical reintervention. Other cardiac anomalies less reported until recently in this population, such as isolated functional and structural mitral valve diseases, as well as a sigmoid-shaped interventricular septum in the absence of HCM, were also reported. In conclusion, our study confirms previous data but also provides new insights on cardiac involvement in RASopathies. Further research concerning genotype/phenotype associations in RASopathies could lead to a more rational approach to surgery and the consideration of drug therapy in patients at higher risk due to age, severity, anatomy, and comorbidities.

Clinical target volume (CTV) autosegmentation for cervical cancer is desirable for radiation therapy. Data heterogeneity and interobserver variability (IOV) limit the clinical adaptability of such methods. The adaptive method is proposed to improve the adaptability of CNN-based autosegmentation of CTV contours in cervical cancer.

This study included 400 cervical cancer treatment planning cases with CTV delineated by radiation oncologists from three hospitals. The datasets were divided into five subdatasets (80 cases each). The cases in datasets 1, 2, and 3 were delineated by physicians A, B, and C, respectively. The cases in datasets 4 and 5 were delineated by multiple physicians. Dataset 1 was divided into training (50 cases), validation (10 cases), and testing (20 cases) cohorts, and they were used to construct the pretrained model. Datasets 2-5 were regarded as host datasets to evaluate the accuracy of the pretrained model. In the adaptive process, the pretrained model was fine-tuned to measure improvements by gradually adding more training cases selected from the host datasets. The accuracy of the autosegmentation model on each host dataset was evaluated using the corresponding test cases. The Dice similarity coefficient (DSC) and 95% Hausdorff distance (HD_95) were used to evaluate the accuracy.

Before and after adaptive improvements, the average DSC values on the host datasets were 0.818versus 0.882, 0.763versus 0.810, 0.727versus 0.772, and 0.679versus 0.789, which are improvements of 7.82%, 6.16%, 6.19%, and 16.05%, respectively. The average HD_95 values were 11.143mm versus 6.853mm, 22.402mm versus 14.076mm, 28.145mm versus 16.437mm, and 33.034mm versus 16.441mm, which are improvements of 37.94%, 37.17%, 41.60%, and 50.23%, respectively.

The proposed method improved the adaptability of the CNN-based autosegmentation model when applied to host datasets.

The proposed method improved the adaptability of the CNN-based autosegmentation model when applied to host datasets.Background The current literature has not yet addressed mental health among acne vulgaris (AV) patients during the COVID-19 pandemic.

We aimed to investigate the psychological status of AV patients and analyze the influencing factors on psychological symptoms, during the pandemic.

This cross-sectional study included consecutively selected 220 eligible AV patients and 190 age/sex-matched healthy subjects. The Post-traumatic stress disorder (PTSD) checklist for DSM-5, Depression, Anxiety and Stress Scale-21, Brief Resilience Scale, and the Stressful Life Events List resulting from the pandemic were administered to the participants.

There were not significantly differences between the AV patients and the control group in terms of depression, anxiety, stress, psychological resilience levels, and experienced stressful life events. Probable PTSD rate was significantly higher for AV patients (16.4%) than the control groups (9.5%) (p=0.040). High levels of depression and anxiety, low psychological resilience, and high levels in experienced traumatic life events predicted high severity in PTSD symptoms, whereas low psychological resilience predicted high levels of depression, anxiety, and stress in AV patients.

AV patients are at high risk of developing PTSD during the COVID-19 pandemic. The obtained results highlight the need to assess their psychological state, in particular those with low psychological resilience.

AV patients are at high risk of developing PTSD during the COVID-19 pandemic. The obtained results highlight the need to assess their psychological state, in particular those with low psychological resilience.Grain boundaries (GBs) play a central role in the fracture of polycrystals. However, the complexity of GBs and the difficulty in monitoring the atomic structure evolution during fracture greatly limit the understanding of the GB mechanics. Here, in situ aberration-corrected scanning transmission electron microscopy and density functional theory calculations are combined to investigate the fracture mechanics in low-symmetry, polycrystalline, 2D rhenium disulfide (ReS2 ), unveiling the distinctive crack behaviors at different GBs with atomic resolution. Brittle intergranular fracture prefers to rip through the GBs that are parallel to the Re chains of at least one side of the GBs. In contrast, those GBs, which do not align with Re chains on either side of the GBs, are highly resistant to fracture, impeding or deflecting the crack propagation. These results disclose the GB type-dependent mechanical failure of anisotropic 2D polycrystals, providing new ideas for material reinforcement and controllable cutting via GB engineering.