"Double-Gene" Small Molecule as Guest Component Promotes the Efficiency of Organic Solar Cells Beyond 19.5.

Introduction of a guest component into the active layer is a simple yet effective approach to enhance the performance of organic solar cells (OSCs). Despite various guest components successfully employed in the OSCs, efficient guest components require deliberate design and ingenious inspiration, which still remains a big challenge for developing high performance OSCs. In this work, we propose a concept of "structural gene" engineering to create a new "double-gene" small molecule (L-DBDD) by simply combining the structures of both donor PM6 and acceptor L8-BO.

Automatic segmentation and visualization of cortical and marrow bone in mandibular condyle on CBCT: a preliminary exploration of clinical application.

Objectives: To develop a deep learning-based automatic segmentation method for cortex and marrow in mandibular condyle on cone-beam computed tomography (CBCT) images and explore its clinical application.

Methods: 825 condyles of 490 CBCT images from 3 centers of Stomatology hospital affliated to Zhejiang University School of Medicine were collected. A deep learning model was developed for simultaneous segmentation of cortex and marrow in mandibular condyle.

The relationship between executive function and the association of motor coordination difficulties and social communication deficits in autistic children.

Background: Motor coordination difficulties could contribute to social communication deficits in autistic children. However, the exploration of the mechanism implicated in these claims has been limited by the lack of potential confounders such as executive function (EF).

Methods: We investigated the role that EF plays in the relationship between motor coordination and social communication in a school-aged autistic population via a structural model in a statistically robust manner.

Crystallization Control for Ambient Printed FA-Based Lead Triiodide Perovskite Solar Cells.

Upscalable printing of high-performance and stable perovskite solar cells (PSCs) is highly desired for commercialization. However, the efficiencies of printed PSCs lag behind those of their lab-scale spin-coated counterparts owing to the lack of systematic understanding and control over perovskite crystallization dynamics. Here, the controlled crystallization dynamics achieved using an additive 1-butylpyridine tetrafluoroborate (BPyBF ) for high-quality ambient printed α-formamidinium lead triiodide (FAPbI ) perovskite films are reported.

Low-Cost Fabrication of Efficient Perovskite Photovoltaics Using Low-Purity Lead Iodide via Powder Engineering.

Low cost is the eternal theme for any commercial production. Numerous efforts have been explored to realize low-cost, high-efficiency perovskite solar cells (PSCs), such as replacing the traditional spin-coating method with an economical printing strategy, simplifying the device structure, reducing the number of functional layers, . However, there are few reports on the use of low-cost precursors.

Associations of emotional/behavioral problems with accelerometer-measured sedentary behavior, physical activity and step counts in children with autism spectrum disorder.

Background: The evidence for associations of emotional/behavioral status with sedentary behavior (SB), physical activity (PA) and step counts is scarce in children with autism spectrum disorder (ASD). Also, ASD-related deficiencies may affect actual levels of PA. We aimed to describe accelerometer-measured SB, PA and step counts in children with ASD, and to examine the associations of emotional/behavioral problems with SB, PA and step counts after assessing associations between accelerometer-measured SB, PA and step counts and ASD-related deficiencies.

Association of sugar-sweetened beverages with executive function in autistic children.

The association between sugar-sweetened beverages (SSBs) consumption and executive function (EF) among typically developing (TD) children has been investigated in previous studies but with inconsistent results. Furthermore, this relationship has been less investigated among autistic children who perform worse in EF compared with TD children. In this study, we aimed to investigate the association between SSB consumption and EF in autistic children, and whether the association between SSB and EF in autistic children is different from that in TD children.

The association between sugar-sweetened beverages and milk intake with emotional and behavioral problems in children with autism spectrum disorder.

Background: Emotional and behavioral problems are common in children with autism spectrum disorder (ASD). It's still unclear whether children with ASD have abnormal sugar-sweetened beverages (SSBs) and milk intake and whether this abnormality will affect their emotions and behavior remains unclear. The current study aims to investigate the association of SSBs and milk intake with emotional and behavioral problems in children with autism spectrum disorder (ASD).

Sugar-Sweetened Beverage Intake and Motor Function Among Autistic and Typically Developed Children.

Background And Objectives: The relationship between brain function and sugar-sweetened beverages (SSBs) is widely explored, but the motor function was not included. We aim to explore the relationship between SSBs and motor function among children with or without autism.

Methods: Participants were a representative autism sample (ASD, = 106) comprising ages ranging 6-9 years and their age-matched typical counterparts (TD, = 207), recruited in the research center of Guangzhou, China.

Empathizing, systemizing, empathizing-systemizing difference and their association with autistic traits in children with autism spectrum disorder, with and without intellectual disability.

Empathizing, systemizing, and empathizing-systemizing difference can be linked to autistic traits in the general adult population and those with autism spectrum disorder (ASD), but these profiles and associations remain unclear in children with ASD, with and without intellectual disability (ASD + ID; ASD-noID). We recruited three groups including 160 boys with ASD (73 ASD + ID; 87 ASD-noID) and 99 typically developing (TD) boys (6-12 years). We measured empathizing, systemizing, and empathizing-systemizing difference using the parent-reported child Empathy and Systemizing Quotient (EQ-C/SQ-C).

The validity and reliability of the simplified Chinese version of the Social Communication Questionnaire.

This study aims to validate the simplified Chinese version of the Social Communication Questionnaire (SCQ) in children aged 2-12 years from both general and clinical populations. We recruited 819 Chinese children in this study, including 505 typically developing (TD) children, 202 children with autism spectrum disorder (ASD) and 112 children with non-ASD neurodevelopmental disorders. All the children's parents completed the simplified Chinese version of the SCQ and all children with ASD were additionally assessed for intelligence and the Childhood Autism Rating Scale to confirm their diagnosis.

Adsorption of Transition-Metal Clusters on Graphene and N-Doped Graphene: A DFT Study.

Using the dispersion-corrected density functional theory (DFT-D3) method, we systematically studied the adsorption of 15 kinds of transition-metal (TM) clusters on pristine graphene (Gr) and N-doped graphene (N-Gr). It has been found that TM ( = 1-4) clusters adsorbed on the N-Gr surface are much stronger than those on the pristine Gr surface, while 3d series clusters present similar geometries on Gr and N-Gr surfaces. The most preferred sites of TMs migrate from hollow to bridge to the top site on the Gr surface along the d series in the periodic table, while the preferred sites of TMs migrate in a much more complex manner on the N-Gr surface.

Automated pneumothorax triaging in chest X-rays in the New Zealand population using deep-learning algorithms.

Introduction: The primary aim was to develop convolutional neural network (CNN)-based artificial intelligence (AI) models for pneumothorax classification and segmentation for automated chest X-ray (CXR) triaging. A secondary aim was to perform interpretability analysis on the best-performing candidate model to determine whether the model's predictions were susceptible to bias or confounding.

Method: A CANDID-PTX dataset, that included 19,237 anonymized and manually labelled CXRs, was used for training and testing candidate models for pneumothorax classification and segmentation.

Curation of the CANDID-PTX Dataset with Free-Text Reports.

Conventional Radiography, Thorax, Trauma, Ribs, Catheters, Segmentation, Diagnosis, Classification, Supervised Learning, Machine Learning © RSNA, 2021.