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Life long course of children with autism spectrum disorders
Dongsoo Suh Asia association of Disability and Oral health 2010 대한장애인치과학회지 Vol.6 No.1
Autism, first described in 1943, is a complex developmental disorder characterized by severe impairment in reciprocal social interaction and communication and by a pattern of repetitive or stereotyped behavior. The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV,TR) includes autistic disorder in the broader category of pervasive developmental disorders, along with pervasive developmental disorder, not otherwise specified (PDD-NOS), Asperger’s disorder, Rett’s disorder, and childhood disintegrative disorder. Autistic disorder, PDD-NOS, and Asperger’s disorder are often collectively referred to as the autism spectrum disorders (ASDs), while the term autism is used interchangeably with the DSM-IV, TR term autistic disorder. The term ASDs reflects the notion that these conditions are related and may be difficult to differentiate with current diagnostic tools. Pervasive developmental disorder, not otherwise specified is a somewhat ill-defined diagnosis of exclusion reserved for children with problems similar to those seen in autistic disorder but insufficient to meet the criteria for autistic disorder in number, severity, or age at onset. The diagnostic criteria for autism require the presence of 6 symptoms from 3 categories: impaired reciprocal social interaction (at least 2 symptoms), impaired impaired communication, and restricted, repetitive, or stereotyped behaviors (Table 1). These criteria reflect the central role of deficits in social behavior in children with ASDs. One of the earliest and most important indicators of autism is the failure to develop joint attention, which refers to the child’s ability to share interests, pleasurable experiences, or requests by using gestures or verbal communication in combination with eye contact with another person.
Selective AP probing for indoor positioning in a large and AP-dense environment
Jeon, Seokseong,Jeong, Jae-Pil,Suh, Young-Joo,Yu, Chansu,Han, Dongsoo Elsevier 2017 JOURNAL OF NETWORK AND COMPUTER APPLICATIONS - Vol.99 No.-
<P><B>Abstract</B></P> <P>A Wi-Fi fingerprint, measured as a vector of received signal strength (RSS) values of signals from access points (APs), has been used in Wi-Fi indoor positioning systems. However, a fingerprint collected in a large indoor venue with a huge number of APs would suffer from high contention in the wireless channel, which leads to defective fingerprints with missing RSS values from a certain APs and thus inaccurate estimation of user's location. This paper proposes <I>Selective AP Probing (SAP)</I> scheme, which reduces the contention and thus solves the missing AP problem. Through the performance evaluation using actual data consisting of 1734 APs, it is shown that the proposed scheme reduces the positioning error by up to 55%. In addition, SAP reduces control and management traffic for indoor positioning and thus avoids the throughput degradation problem during the probing stage.</P>
Hyekyung Noh,Hyunjoo Lee,Seungchul Kim,Jongkil Joo,Dongsoo Suh,Kihyung Kim,Kyusup Lee 대한폐경학회 2019 대한폐경학회지 Vol.25 No.1
Objectives: Body mass index (BMI) is commonly used in epidemiological study or clinical center. However, it is not exactly correlated with body fat composition and does not reflect sex, age, or race. The aim of this article is to evaluate the validity of BMI standards relative to total body fat (TBF) and to estimate new BMI criteria that correspond to TBF for obesity, especially for Asian postmenopausal women. Methods: A total 3,936 patients were included in this cross-sectional study, including 1,565 premenopausal and 2,371 postmenopausal women. At the time of visit, demographic data were collected. We demonstrated the validity of BMI cut-point of 25 kg/m2 by using area under the curve (AUC), and presented the empirical optimal BMI cut-point by using Youden’s index and overall accuracy in both premenopausal and postmenopausal women. Results: BMI-defined obesity (≥ 25 kg/m2) represents high AUC values (> 0.9) for each TBF. In premenopausal women, TBF ≥ 38% and corresponding BMI value was 29.45 kg/m2 indicated the highest both Youden’s index and overall accuracy. In comparison, postmenopausal women who were TBF ≥ 38% showed the highest Youden’s index and overall accuracy, and corresponding BMI value was 26.45 kg/m2. Conclusions: We proposed new BMI criteria for obesity by using TBF reference. With application of bioelectrical impedance analysis, the diagnosis of obesity using BMI criteria may differ between premenopausal and postmenopausal women.