In this article,we analyzed E-leaning's characteristics and trend of development,and then we put forward an opinion that in such situation students should have a capacity of making use of network to have autonomous study without the limit of time and space,and at the same time teachers also should use the information technology to train students' capacity of evaluating and processing information,in order to be able to conduct the self-management learning through the network.

To investigate signals of adverse drug reactions of finasteride by using the Korea Adverse Events Reporting System (KAERS) database. This pharmacovigilance was based on the database of the drug-related adverse reactions reported spontaneously to the KAERS from 2013 to 2017. This study was conducted by disproportionality analysis. Data mining analysis was performed to detect signals of finasteride. The signal was defined by three criteria as proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC). The signals of finasteride were compared with those of the other drugs; dutasteride (similar mechanism of action), minoxidil (different mechanism but similar indications for alopecia), silodosin (different mechanism but similar indications for BPH). It was examined whether the detected signals exist in drug labels in Korea. The total number of adverse eventdrug pairs was reported 2,665,429 from 2013 to 2017, of which 1,426 were associated with finasteride. The number of investigated signals of finasteride was 42. The signals that did not include in the drug label were 29 signals, including mouth dry, hypotension, dysuria etc. The signal of finasteride was similar to that of dutasteride and silodosin but was different to that of minoxidil. Early detection of signals through pharmacovigilance is important to patient safety. We investigated 29 signals of finasteride that do not exist in drug labels in Korea. Further pharmacoepidemiological studies should be needed to evaluate the signal causality with finasteride.

Purpose: Diabetes mellitus (DM) is implicated in the pathogenesis of iron dysregulation and Alzheimer’s disease. We aimed to evaluate whether the presence of DM and status of cognitive impairment affect cortical iron accumulation in older adults, as quantified by the susceptibility measurements using the deep neural network QSMnet+. Materials and Methods: In this retrospective analysis of a prospective cohort, 50 patients with normal cognition with or without subjective memory impairment (controls), 49 with early mild cognitive impairment (MCI), and 43 with late MCI were evaluated. We employed QSMnet+ to compute a quantitative susceptibility map and FreeSurfer 6.0 to obtain anatomical labels. The effects of MCI and DM on cortical susceptibility and volume were evaluated using a two-way analysis of covariance. Results: Whole-cortex susceptibility differed according to MCI (p < 0.001) but not according to DM (p = 0.554), with higher values in the early and late MCI groups than in the control group. MCI and the DM status showed a significant interaction in the whole cortex (p = 0.023). Among the patients with early MCI, those with DM exhibited higher cortical susceptibility than those without DM, whereas those with late MCI showed no such difference. Cortical susceptibility did not correlate with the cortical volume in patients with DM and inversely correlated with the cortical volume in patients without DM. Only disease status (p = 0.008) and DM (p = 0.023) were independent predictors of whole-cortex susceptibility, after correcting for covariates. Conclusion Our findings demonstrated that cognitive impairment and DM are linked to alterations in cortical susceptibility in older adults. This observation suggests that cortical iron accumulation results from the combined effects of DM and neurodegenerative processes related to the cognitive status.

Objective: Cortical iron deposition has recently been shown to occur in Alzheimer’s disease (AD). In this study, we aimed to evaluate how cortical gray matter iron, measured using quantitative susceptibility mapping (QSM), differs in the clinical cognitive impairment spectrum. Materials and Methods: This retrospective study evaluated 73 participants (mean age ± standard deviation, 66.7 ± 7.6 years;52 females and 21 males) with normal cognition (NC), 158 patients with mild cognitive impairment (MCI), and 48 patients with AD dementia. The participants underwent brain magnetic resonance imaging using a three-dimensional multi-dynamic multi-echo sequence on a 3-T scanner. We employed a deep neural network (QSMnet+) and used automatic segmentation software based on FreeSurfer v6.0 to extract anatomical labels and volumes of interest in the cortex. We used analysis of covariance to investigate the differences in susceptibility among the clinical diagnostic groups in each brain region.Multivariable linear regression analysis was performed to study the association between susceptibility values and cognitive scores including the Mini-Mental State Examination (MMSE). Results: Among the three groups, the frontal (P < 0.001), temporal (P = 0.004), parietal (P = 0.001), occipital (P < 0.001), and cingulate cortices (P < 0.001) showed a higher mean susceptibility in patients with MCI and AD than in NC subjects. In the combined MCI and AD group, the mean susceptibility in the cingulate cortex (β = -216.21, P = 0.019) and insular cortex (β = -276.65, P = 0.001) were significant independent predictors of MMSE scores after correcting for age, sex, education, regional volume, and APOE4 carrier status. Conclusion Iron deposition in the cortex, as measured by QSMnet+, was higher in patients with AD and MCI than in NC participants. Iron deposition in the cingulate and insular cortices may be an early imaging marker of cognitive impairment related neurodegeneration.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder marked by impaired social communication and repetitive, restricted behaviors and activities. The prevalence of ASD has been increasing for the past 2 decades, but evidence-based therapeutic approaches are lacking for patients with ASD. To date, there is no cure for the core symptoms of ASD, and the existing treatments focus on improving the patient's function and adaptation by using behavioral intervention methods. Behavioral interventions have been proven to show the greatest effect when applied before the age of 2 years, for at least 40-60 hours per week. Many clinicians and ASD families are unfamiliar with the treatment methods, and consequently, may seek unproven and potentially hazardous methods. The purpose of this article was to present an extensive and updated review on evidence-based ASD behavioral interventions that are commonly used in clinical settings.
Child ; Autism Spectrum Disorder* ; Humans ; Prevalence

OBJECTIVE: We aimed to investigate the neurocognitive and behavioral endophenotypes of premorbid mood disorder. We compared intelligence, neuropsychological functioning, and behavioral problems among three groups: 1) a high-risk group [attention-deficit hyperactivity disorder (ADHD) children of parents with a history of a mood disorder], 2) a low-risk group (ADHD children of parents without a history of a mood disorder), and 3) normal comparison subjects. METHODS: We used the Korean Educational Development Institute Wechsler Intelligence Scale for Children-Revised (KEDI-WISC-R), the Stroop Color Word Interference Test (Stroop), the Wisconsin Card Sorting Test (WCST), and the Rey-Osterrieth Complex Figure Test (RCFT) as neurocognitive measures, and we used the Child Behavior Checklist (CBCL) as a behavioral measure. Performance on these neuropsychological tests and score on the CBCL of 18 high-risk children were compared to those of 20 low-risk children and 24 healthy children. We also assessed the children's current mood state and familial functioning to control for the confounding effects of these variables. RESULTS: Compared to low-risk and healthy children, high-risk children were impaired on the Picture Completion and Stroop Word subtest and showed higher scores on the CBCL subscales representing internalizing symptoms. These significant group differences persisted even after adjustment for the children's current mood state and familial functioning. CONCLUSION: Neuropsychological deficits in the offspring of parents with a mood disorder may be associated with the current mood state rather than with innate characteristics, while their internalizing symptoms may partially stem from innate characteristics that are endophenotypes of a premorbid mood disorder.
Attention Deficit Disorder with Hyperactivity ; Checklist ; Child Behavior ; Child* ; Endophenotypes ; Humans ; Intelligence ; Mood Disorders* ; Neuropsychological Tests ; Neuropsychology ; Parents* ; Pilot Projects* ; Wisconsin

0.05). Dogs inoculated with the former vaccine developed a significantly higher immune titer than non-vaccinated dogs.CONCLUSION: The Cabopol-adjuvanted, inactivated CAV-2 vaccine was safe and induced a high VNA titer in dogs.]]>
Adenoviruses, Canine ; Amino Acids ; Animals ; Dogs ; Enzyme-Linked Immunosorbent Assay ; Formaldehyde ; Guinea Pigs ; Madin Darby Canine Kidney Cells ; Urea ; Vaccines

Sialylated N-glycan isomers with α2-3 or 42-6 linkage(s)have distinctive roles in glycoproteins,but are difficult to distinguish.Wild-type(WT)and glycoengineered(mutant)therapeutic glycoproteins,cyto-toxic T lymphocyte-associated antigen-4-immunoglobulin(CTLA4-Ig),were produced in Chinese ham-ster ovary cell lines:however,their linkage isomers have not been reported.In this study,N-glycans of CTLA4-Igs were released,labeled with procainamide,and analyzed by liquid chromatography-tandem mass spectrometry(MS/MS)to identify and quantify sialylated N-glycan linkage isomers.The linkage isomers were distinguished by comparison of 1)intensity of the N-acetylglucosamine ion to the sialic acid ion(Ln/Nn)using different fragmentation stability in MS/MS spectra and 2)retention time-shift for a selective m/z value in the extracted ion chromatogram.Each isomer was distinctively identified,and each quantity(＞0.1％)was obtained relative to the total N-glycans(100％)for all observed ionization states.Twenty sialylated N-glycan isomers with only α2-3 linkage(s)in WT were identified,and each isomer's sum of quantities was 50.4％.Furthermore,39 sialylated N-glycan isomers(58.8％)in mono-(3 N-glycans;0.9％),bi-(18;48.3％),tri-(14;8.9％),and tetra-(4;0.7％)antennary structures of mutant were obtained,which comprised mono-(15 N-glycans;25.4％),di-(15;28.4％),tri-(8;4.8％),and tetra-(1;0.2％)sialy-lation,respectively,with only α2-3(10 N-glycans;4.8％),both α2-3 and α2-6(14;18.4％),and only α2-6(15;35.6％)linkage(s).These results are consistent with those for α2-3 neuraminidase-treated N-glycans.This study generated a novel plot of Ln/Nn versus retention time to distinguish sialylated N-glycan linkage isomers in glycoprotein.

Objective: White matter hyperintensities (WMH) are common among the elderly. Although WMH play a key role in lowering the threshold for the clinical expression of dementia in Alzheimer’s disease (AD)-related pathology, the clinical significance of their location is not fully understood. This study aimed to investigate the association between WMH and cognitive function according to the location of WMH in AD. Methods: Subjects underwent clinical evaluations including volumetric brain magnetic resonance imaging study and neuropsychological tests using the Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet. WMH were calculated using automated quantification method. According to the distance from the lateral ventricular surface, WMH within 3 mm, WMH within 3–13 mm, and WMH over 13 mm were classified as juxtaventricular WMH (JVWMH), periventricular WMH (PVWMH), and deep WMH (DWMH), respectively. Results: Total WMH volume was associated with poor performance in categorical verbal fluency test (β=-0.197, p=0.035). JVWMH volume was associated with poor performances on categorical verbal fluency test (β=-0.201, p=0.032) and forward digit span test (β= -0.250, p=0.012). PVWMH volume was associated with poor performances on categorical verbal fluency test (β=-0.185, p=0.042) and word list memory test (β=-0.165, p=0.042), whereas DWMH volume showed no association with cognitive tests. PVWMH volume were also related to Clinical Dementia Rating Scale Sum of Boxes score (β=0.180, p=0.026). Conclusion WMH appear to exhibit different associations with the severity of dementia and cognitive impairment according to the distance from ventricle surface in AD.

Objective: White matter hyperintensities (WMH) are common among the elderly. Although WMH play a key role in lowering the threshold for the clinical expression of dementia in Alzheimer’s disease (AD)-related pathology, the clinical significance of their location is not fully understood. This study aimed to investigate the association between WMH and cognitive function according to the location of WMH in AD. Methods: Subjects underwent clinical evaluations including volumetric brain magnetic resonance imaging study and neuropsychological tests using the Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet. WMH were calculated using automated quantification method. According to the distance from the lateral ventricular surface, WMH within 3 mm, WMH within 3–13 mm, and WMH over 13 mm were classified as juxtaventricular WMH (JVWMH), periventricular WMH (PVWMH), and deep WMH (DWMH), respectively. Results: Total WMH volume was associated with poor performance in categorical verbal fluency test (β=-0.197, p=0.035). JVWMH volume was associated with poor performances on categorical verbal fluency test (β=-0.201, p=0.032) and forward digit span test (β= -0.250, p=0.012). PVWMH volume was associated with poor performances on categorical verbal fluency test (β=-0.185, p=0.042) and word list memory test (β=-0.165, p=0.042), whereas DWMH volume showed no association with cognitive tests. PVWMH volume were also related to Clinical Dementia Rating Scale Sum of Boxes score (β=0.180, p=0.026). Conclusion WMH appear to exhibit different associations with the severity of dementia and cognitive impairment according to the distance from ventricle surface in AD.