Summary Genome editing via the homology‐directed repair (HDR) pathway in somatic plant cells is very inefficient compared with error‐prone repair by nonhomologous end joining (NHEJ). Here, we increased HDR‐based genome editing efficiency approximately threefold compared with a Cas9‐based single‐replicon system via the use of de novo multi‐replicon systems equipped with CRISPR/LbCpf1 in tomato and obtained replicon‐free but stable HDR alleles. The efficiency of CRISPR/LbCpf1‐based HDR was significantly modulated by physical culture conditions such as temperature and light. Ten days of incubation at 31 °C under a light/dark cycle after Agrobacterium‐mediated transformation resulted in the best performance among the tested conditions. Furthermore, we developed our single‐replicon system into a multi‐replicon system that effectively increased HDR efficiency. Although this approach is still challenging, we showed the feasibility of HDR‐based genome editing of a salt‐tolerant SlHKT1;2 allele without genomic integration of antibiotic markers or any phenotypic selection. Self‐pollinated offspring plants carrying the HKT1;2 HDR allele showed stable inheritance and germination tolerance in the presence of 100 mm NaCl. Our work may pave the way for transgene‐free editing of alleles of interest in asexually and sexually reproducing plants.

With the continued development of artificial intelligence (AI) technology, research on interaction technology has become more popular. Facial expression recognition (FER) is an important type of visual information that can be used to understand a human's emotional situation. In particular, the importance of AI systems has recently increased due to advancements in research on AI systems applied to AI robots. In this paper, we propose a new scheme for FER system based on hierarchical deep learning. The feature extracted from the appearance feature-based network is fused with the geometric feature in a hierarchical structure. The appearance feature-based network extracts holistic features of the face using the preprocessed LBP image, whereas the geometric feature-based network learns the coordinate change of action units (AUs) landmark, which is a muscle that moves mainly when making facial expressions. The proposed method combines the result of the softmax function of two features by considering the error associated with the second highest emotion (Top-2) prediction result. In addition, we propose a technique to generate facial images with neutral emotion using the autoencoder technique. By this technique, we can extract the dynamic facial features between the neutral and emotional images without sequence data. We compare the proposed algorithm with the other recent algorithms for CK+ and JAFFE dataset, which are typically considered to be verified datasets in the facial expression recognition. The tenfold cross validation results show 96.46% of accuracy in the CK+ dataset and 91.27% of accuracy in the JAFFE dataset. When comparing with other methods, the result of the proposed hierarchical deep network structure shows up to about 3% of the accuracy improvement and 1.3% of average improvement in CK+ dataset, respectively. In JAFFE datasets, up to about 7% of the accuracy is enhanced, and the average improvement is verified by about 1.5%. INDEX TERMS Artificial intelligence (AI), facial expression recognition (FER), emotion recognition, deep learning, LBP feature, geometric feature, convolutional neural network (CNN).

Emotional Stroop tasks (subliminal/supraliminal exposures), implicit memory tasks (tachistoscopic word identification), and explicit memory tasks (free recall after incidental learning) with 4 word types (physical threat, positive, negative, and neutral words) were administered to patients with major depressive disorder (n=30), panic disorder (n=33), somatoform disorder (n=25), and healthy control participants (n=33). On the Stroop task, panic patients showed subliminal interferences for physical threat and negative words, depressive patients showed supraliminal interferences for negative words, and somatoform patients showed supraliminal interferences for physical threat words. No patient groups demonstrated implicit memory biases. On the explicit memory task, depressive and panic patients showed memory biases for negative words; somatoform patients showed biases for physical threat words.

ObjectiveThe Beck Depression Inventory-II (BDI-II) is one of the most popular scales for evaluating the severity of depression in adolescents as well as adults. The prevalence of depression increases during adolescence, and it has shown a rapid increase with occurrence at an earlier age and a tendency to continue into adulthood. Data from an adolescent nonclinical sample provides us more information related to depressive symptoms as potential risk factors. The current study was designed to two objectives: 1) to analyze the reliability and validity the BDI-II among Korean adolescents and 2) to evaluate the factorial structure in a Korean nonclinical adolescent sample.MethodsThe participants included 1072 adolescent boys and girls. We assessed the internal consistency, corrected item-total correlation, and the convergent validity of the BDI-II. We also performed confirmatory factor analyses to determine the internal structure of the BDI-II for Korean adolescents using Mplus 6.1.ResultsThe Cronbach's alpha for the BDI-II total score was 0.89. The correlation between the BDI-II and the PHQ-9 was strong (r=0.75), and anxiety-related measures were 0.68 and 0.71, which were also in the high range. Among the five different factor structures, the modified three-factor model demonstrated the best overall fit.ConclusionThe BDI-II is a reliable tool for measuring the severity of depressive symptoms in Korean adolescents. Therefore, the findings can provide basic information for examining the prevalence rate, intervention strategies for depression in adolescents.

It is well-known that more than 50% of attention-deficit hyperactivity disorder (ADHD) cases also have comorbid psychiatric disorders. We evaluated the comorbid psychopathology of Korean children and adolescents with ADHD using a standardized diagnostic instrument. The Korean Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version (K-SADS-PL-K) was administered and completed in 105 patients who had been referred to the outpatient and inpatient clinics at the Samsung Medical Center from March 2004 to May 2005. All of the cases were diagnosed as ADHD according to DSM-IV criteria. We analyzed their clinical characteristics and psychiatric comorbidities, and assessed the correlation of any comorbidity with gender, age and ADHD subtype. Among our 105 participants, 70 (66.7%) subjects were diagnosed with combined-type ADHD, 22 (21.0%) were the predominantly inattentive type, only 1 (1.0%) was determined to have the predominantly hyperactive-impulsive type of ADHD, and 12 (11.4%) were classified as not otherwise specified (NOS) ADHD. Eighty (76.2%) subjects had at least one comorbid disorder such as oppositional defiant disorder (n = 53, 50.5%), anxiety disorders (n = 35, 33.3%) and affective disorders (n = 15, 14.3%). Our patients ranged in age from five to 16 years. Among the factors including gender, age, and ADHD subtype, ADHD subtype was the only one significant to comorbidity in our study. The results of this study suggest that psychiatric comorbidity in Korean children with ADHD is similar to the results of previous studies in western countries. Out of all the ADHD subtypes, the combined-type group had a significantly higher ratio of comorbid disorders and psychopathologies.

"Healthy Twin" is a twin family study extension of the existing Korean Twin-Family Register. Healthy Twin recruits adult like-sex twins over the age of 30 and their adult family members. Healthy Twin protocols are primarily tailored to the study of the quantitative trait loci of complex traits as well as to the role of environment in the etiology of complex diseases. A full-length survey is underway, including questionnaires, health examinations and the collection of biological specimens. So far, 820 individuals (169 twin pairs and their families) have participated in the survey and 1068 individual twins (608 twin pairs) have replied to the mailed zygosity questionnaire as of July 2006. The first phase (2005-2006) of Healthy Twin will recruit 1550 individuals (including about 380 twin pairs), and the second phase a proposed 1500 to 2500 additional participants. We report study protocols and zygosity and the distribution of family size of the study participants.

ObjectiveA self-report scale of adult attention-deficit/hyperactivity disorder, the World Health Organization (WHO) Adult ADHD Self-Report Scale (ASRS) was developed and demonstrated good psychometric properties. The purpose of the present study is to investigate the psychometric properties of the ASRS in Korean samples.MethodsThe ASRS includes 18 questions regarding the frequency of recent DSM-IV Criterion A symptoms of adult ADHD. We examined the factor structure, internal consistency, and convergent validity of the ASRS in Korean samples.ResultsThe ASRS demonstrated good internal consistency and test-retest reliability. Correlations between the ASRS and other adult ADHD measures were high, providing evidence of convergent validity. A subsequent exploratory factor analysis indicated that a two-factor solution provided the best fit.ConclusionIt is expected that this scale would be helpful in clinical settings and research in Korea.

Continuing crop domestication/redomestication and modification is a key determinant of the adaptation and fulfillment of the food requirements of an exploding global population under increasingly challenging conditions such as climate change and the reduction in arable lands. Monocotyledonous crops are not only responsible for approximately 70% of total global crop production, indicating their important roles in human life, but also the first crops to be challenged with the abovementioned hurdles; hence, monocot crops should be the first to be engineered and/or de novo domesticated/redomesticated. A long time has passed since the first green revolution; the world is again facing the challenge of feeding a predicted 9.7 billion people in 2050, since the decline in world hunger was reversed in 2015. One of the major lessons learned from the first green revolution is the importance of novel and advanced trait-carrying crop varieties that are ideally adapted to new agricultural practices. New plant breeding techniques (NPBTs), such as genome editing, could help us succeed in this mission to create novel and advanced crops. Considering the importance of NPBTs in crop genetic improvement, we attempt to summarize and discuss the latest progress with major approaches, such as site-directed mutagenesis using molecular scissors, base editors and especially homology-directed gene targeting (HGT), a very challenging but potentially highly precise genome modification approach in plants. We therefore suggest potential approaches for the improvement of practical HGT, focusing on monocots, and discuss a potential approach for the regulation of genome-edited products.