• Title/Summary/Keyword: experimental assessment

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A multidisciplinary approach for the treatment of child abuse in Korea (병원 기반 학대아동보호팀의 20년간의 활동 경험)

  • Song, Bong Kyu;Kim, Do Kyun;Park, Hye Young;Hwang, Jun Won;Kwak, Young Ho
    • Clinical and Experimental Pediatrics
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    • v.52 no.11
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    • pp.1207-1215
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    • 2009
  • Purpose:To review and determine the complications in 76 child abuse cases recorded by a multidisciplinary hospital-based child protection team between 1987 and 2007. Methods:We retrospectively reviewed the reports and medical records of child abuse cases maintained by a university hospital-based child protection team. We devised a questionnaire for standardized interviews with the victims' guardians to determine the current physical and mental status of the children; questionnaires were answered by social workers of the child protection team who interviewed the present fosterers of 24 (35.8%) children. Results:Of the 76 children, 6 were infants, 10 were 1-3 years old, were 3-10 years old, and 19 were over 10 years old. Seven children (9.2%) were neglected and 27 (35.5%) and 44 (57.9%) were sexually and physically abused, respectively. In more than half of the cases, the perpetrators were the father or mother of the children. Most children (41 cases, 53.9%) were abused at their homes. The mean follow-up duration from the time of abuse infliction was $54.3{\pm}49.2$ months, and the current mean age of the children was $8.3{\pm}6.4$ years. Moderate and severe developmental delay and physical disability were observed in 6 (25.0%) and 3 (12.5%) cases, respectively. In 13 children (54.2%), the Global Assessment of Functioning Scale (GAF) score was less than 60, which indicates mild mental disability. Conclusion:A hospital-based child protection team may witness the different proportion of abuse types and patterns by conducting a nation-wide survey of child abuse cases.

Clinical characteristics and courses of congenital muscular torticollis (선천성 근육성 사경의 임상적 특징과 경과)

  • Choi, Kyong Eun;Lee, Hee Chul;Youn, So Young;Chun, Jung Mi;Shin, Son Moon;Han, Byung Hee;Lee, Yong Taek
    • Clinical and Experimental Pediatrics
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    • v.52 no.11
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    • pp.1273-1278
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    • 2009
  • Purpose:Congenital muscular torticollis (CMT), a common musculoskeletal disorder in infants, is characterized by the rotation and flexion deformity of the neck caused by sternocleidomastoid muscle shortening. We investigated the clinical courses and perinatal risk factors of CMT. Methods:Less than 6-month-old patients (98; M:F = 60:38) diagnosed with CMT between February 2007 and August 2008 were classified into 2 clinical subgroups, namely, SMT (sternocleidomastoid tumor) and POST (postural torticollis). All the patients were physically and neurologically examined prospectively and their cervical X-rays and ultrasonographies were obtained. Their medical histories about perinatal problems were recorded. Of the 98 patients, 45 with normal range of motion were taught passive physical exercises and 43 were referred to the Department of Rehabilitation for undergoing manual stretching therapy. Results:The mean age at initial assessment was 2.2 months (SMT: $1.4{\pm}1.0$, POST: $2.7{\pm}1.6$). SMT presented earlier than POST. All ophthalmologic examinations and cervical X-rays were normal. SMT was associated with higher incidence of caput succedaneum and cephalhematoma. POST was highly associated with plagiocephaly. Mean duration of rehabilitative physical therapy was 3.7 months (SMT: $4.6{\pm}2.5$, POST: $2.6{\pm}1.9$). POST resolved earlier than SMT. Of the 88 patients with follow-up, 87 had total resolution and only 1 had residual torticollis. Conclusion:All the patients received early treatment with passive stretching exercises. CMT was associated with perinatal problems and had various risk factors such as obstetrical problems.

A Study on Detection Methodology for Influential Areas in Social Network using Spatial Statistical Analysis Methods (공간통계분석기법을 이용한 소셜 네트워크 유력지역 탐색기법 연구)

  • Lee, Young Min;Park, Woo Jin;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.21-30
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    • 2014
  • Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.

Experimental Assessment of Forest Soil Sensitivity to Acidification(II) - Application of Extractable Sulfate and Sulfate Adsorption Capacity - (산림토양(山林土壤)의 산성화(酸性化) 민감도(敏感度)에 대(對)한 실험적(實驗的) 평가(評價)(II) - 추출성(抽出性) 황산(黃酸)이온(SO42-) 함량(含量)과 황산(黃酸)이온 흡착능(吸着能)의 활용(活用) -)

  • Lee, Sung Woo;Kim, Young Kul;Lee, Choong Hwa;Byun, Jae Kyoung
    • Journal of Korean Society of Forest Science
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    • v.90 no.4
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    • pp.431-436
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    • 2001
  • The extractable sulfate content and sulfate adsorption capacity in soils of four Pinus densiflora stands were measured to assess the soil acidification sensitivity to acid deposition. The soluble sulfate content in organic horizon which reflects the previous deposition of sulfur oxides was much higher for Namsan and Ulsan than Kanghwa and Hongcheon. In mineral soils, however, the extractable sulfate content was the greatest for Ulsan followed by Kanghwa, Namsan and Hongcheon due to the interactive effect of previous deposition and soil adsorption of sulfate. Adsorption rates of specifically adsorbed sulfate(proportion of insoluble sulfate to total extractable sulfate) for Namsan, Kanghwa and Ulsan affected by acid deposition were 16.6%, 56.8% and 37.4%, respectively, so that the soil in Namsan had the highest acidification sensitivity to acid deposition. For sulfate adsorption isotherm($RE=mX_i-b$), the significantly positive correlations between added sulfate($X_i$) and adsorbed sulfate(RE) were found only in mineral soil(p<0.05) over all regions. The regression coefficient(m) that means soil sulfate adsorption capacity by 0-30cm depth was 0.16, 0.24, 0.25 and 0.32 in $mmol_c\;kg^{-1}$ for Namsan, Kanghwa, Ulsan and Hongcheon, respectively, indicating that soil acidification sensitivity is the highest for Namsan. The added sulfate($X_i$) that could make the adsorbed sulfate(RE) null was 3.81, 2.17, 4.96 and 0.65 in $mmol_c\;kg^{-1}$ for Namsan, Kanghwa, Ulsan and Hongcheon, respectively and the values of former three regions considerably exceeded the realistic sulfate deposition.

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The assessment of dentoalveolar compensation in facial asymmetry individuals: integration of cone beam CT and laser scanned dental cast images (Cone beam CT 영상과 석고모형 레이저 스캔 영상의 결합을 이용한 안면비대칭자의 치성보상 평가)

  • Song, Hyo-Kyung;Son, Woo-Sung;Park, Soo-Byung;Kim, Seong-Sik;Kim, Yong-Il
    • The korean journal of orthodontics
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    • v.40 no.6
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    • pp.373-382
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    • 2010
  • Objective: The purpose of this study was to assess the dentoalveolar compensation in facial asymmetry individuals using an integration of a CBCT image and a laser scanned dental cast image. Methods: The subjects consisted of 30 adults with asymmetric mandibles and 20 adults with symmetric mandibles. The CBCT and laser scanned dental cast images were integrated with a registration technique. Canine and first molar position and angulation were assessed from reference coordinates. The differences between deviated and non-deviated sides were analyzed with the paired t-test. The differences shown according to menton deviation were also statistically analyzed using Pearson correlation analysis. Results: The experimental group showed deviated and non-deviated side differences (dev.-ndev.) in the position and angle of the canine and first molars. Menton deviation showed positive correlation with the deviation side (dev.-ndev.) for the maxillary and mandibular 1st molar angles, negative correlation with the deviation side for the vertical position of the maxillary 1st molars, transverse position of the mandibular canine, transverse position and vertical position of the mesio-lingual cusp of the mandibular 1st molars. Conclusions: The upper and lower canine and first molars of facial asymmetry individuals were compensated, so the transverse position, vertical position, and angle showed differences between the deviated/non-deviated sides.

Comparison of Deep Learning Frameworks: About Theano, Tensorflow, and Cognitive Toolkit (딥러닝 프레임워크의 비교: 티아노, 텐서플로, CNTK를 중심으로)

  • Chung, Yeojin;Ahn, SungMahn;Yang, Jiheon;Lee, Jaejoon
    • Journal of Intelligence and Information Systems
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    • v.23 no.2
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    • pp.1-17
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    • 2017
  • The deep learning framework is software designed to help develop deep learning models. Some of its important functions include "automatic differentiation" and "utilization of GPU". The list of popular deep learning framework includes Caffe (BVLC) and Theano (University of Montreal). And recently, Microsoft's deep learning framework, Microsoft Cognitive Toolkit, was released as open-source license, following Google's Tensorflow a year earlier. The early deep learning frameworks have been developed mainly for research at universities. Beginning with the inception of Tensorflow, however, it seems that companies such as Microsoft and Facebook have started to join the competition of framework development. Given the trend, Google and other companies are expected to continue investing in the deep learning framework to bring forward the initiative in the artificial intelligence business. From this point of view, we think it is a good time to compare some of deep learning frameworks. So we compare three deep learning frameworks which can be used as a Python library. Those are Google's Tensorflow, Microsoft's CNTK, and Theano which is sort of a predecessor of the preceding two. The most common and important function of deep learning frameworks is the ability to perform automatic differentiation. Basically all the mathematical expressions of deep learning models can be represented as computational graphs, which consist of nodes and edges. Partial derivatives on each edge of a computational graph can then be obtained. With the partial derivatives, we can let software compute differentiation of any node with respect to any variable by utilizing chain rule of Calculus. First of all, the convenience of coding is in the order of CNTK, Tensorflow, and Theano. The criterion is simply based on the lengths of the codes and the learning curve and the ease of coding are not the main concern. According to the criteria, Theano was the most difficult to implement with, and CNTK and Tensorflow were somewhat easier. With Tensorflow, we need to define weight variables and biases explicitly. The reason that CNTK and Tensorflow are easier to implement with is that those frameworks provide us with more abstraction than Theano. We, however, need to mention that low-level coding is not always bad. It gives us flexibility of coding. With the low-level coding such as in Theano, we can implement and test any new deep learning models or any new search methods that we can think of. The assessment of the execution speed of each framework is that there is not meaningful difference. According to the experiment, execution speeds of Theano and Tensorflow are very similar, although the experiment was limited to a CNN model. In the case of CNTK, the experimental environment was not maintained as the same. The code written in CNTK has to be run in PC environment without GPU where codes execute as much as 50 times slower than with GPU. But we concluded that the difference of execution speed was within the range of variation caused by the different hardware setup. In this study, we compared three types of deep learning framework: Theano, Tensorflow, and CNTK. According to Wikipedia, there are 12 available deep learning frameworks. And 15 different attributes differentiate each framework. Some of the important attributes would include interface language (Python, C ++, Java, etc.) and the availability of libraries on various deep learning models such as CNN, RNN, DBN, and etc. And if a user implements a large scale deep learning model, it will also be important to support multiple GPU or multiple servers. Also, if you are learning the deep learning model, it would also be important if there are enough examples and references.

Assessment of the Functions of Vegetation and Soil on the Nutrient Cycling in Paddy Field Ecosystem with Inflow of Animal Wastes (빗물에 의해 축산폐수가 유입되는 논 생태계에서 영양물질 순환에 미치는 토양과 식생의 영향평가)

  • Ahn, Yoon-Soo;Kang, Kee-Kyung;Kim, Sae-Geun;Roh, Kee-An;Park, Moo-Eon
    • Korean Journal of Soil Science and Fertilizer
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    • v.31 no.2
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    • pp.162-169
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    • 1998
  • This study was carried out to assess the roles of soil and vegetation on the nutrient cycling in paddy ecosystem where excessive amounts of animal wastes were flowed in due to the rain. Experimental sites included one abandoned and four cropping paddy fields which were moderately terraced under a small farm village raising 90 milk cows and 35 deer under open-air condition. The watershed covered 4 ha with every 50% of uptown and fodder crops. Concentrations of $NH_4-N$ and $P_2O_5$ in waste water flowed into the abandoned paddy field, enforced by the rain of $56.4mm\;day^{-1}$, were $8.3mg\;{\ell}^{-1}$ and $1.8mg\;{\ell}^{-1}$, respectively. Total mass of rainfall inflow to abandoned field during rice growing period (1 May to 30 Sept.) was $20,900Mg\;ha^{-1}$. Total amounts of $NH_4-N$ and $P_2O_5$ contained in that inflow were estimated as 173 kg and 38 kg, respectively. Concentrations in the outflow water through one abandoned and four rice paddy fields were reduced by 92% for $NH_4-N$ and 95% for $P_2O_5$, as compared to those in the inflows. The reserved portions of nutrients in the abandoned paddy field ecosystem, which were the summation of the uptake by weed and residues in soil, were 29% of the inflow amount for $NH_4-N$ and 30% for $P_2O_5$. These results demonstrated that soil and vegetation in paddy field ecosystem reduced the excessive nutrients from the animal waste inflow to the extents that might be suitable not only for the better growth of rice plant, located at the lower paddy fields, but also for preservation of the downstream from eutrophication.

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Effects of Green Tea Polyphenol and Vitamin C on Type 2 Diabetic Rats Induced by Low Dose Streptozotocin Following High Fat Diet (고지방식이와 저용량 스트렙토조토신으로 유도된 2형 당뇨병 흰쥐에서 녹차 폴리페놀과 비타민 C 병합 투여 효과)

  • Lee, Byoung-Rai;Yang, Hoon;Park, Pyoung-Sim
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.2
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    • pp.167-173
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    • 2016
  • This study investigated the effects of green tea polyphenol and vitamin C on type 2 diabetes mellitus by administering polyphenon 60 (P60) and sodium ascorbate (SA) to diabetic rats induced by high fat diet/low-dose streptozotocin. The experimental group was divided into five different groups: non-diabetic control group (NC), diabetes control group (DC), diabetes+P60 group (DM+P60), diabetes+SA group (DM+SA), and diabetes+P60+SA group (DM+P60+SA). P60 and SA were dissolved in 0.1% drinking water. After P60 and SA were administered for 16 weeks, fasting blood glucose, plasma insulin, serum triglyceride, blood urea nitrogen (BUN), and creatinine levels as well as kidney alkaline phosphatase (AP) and ${\gamma}$-glutamyltranspeptidase (GGT) activities were measured. Fasting blood glucose level increased 5-fold in the DC group compared to the NC group. In the DM+P60 group, fasting blood glucose level decreased by 14%. In the DM+P60+SA group, fasting blood glucose level decreased by 28% compared to the DC group, whereas the DM+SA group did not show any significant difference. The homeostasis model assessment for insulin resistance index increased in the DC group and decreased in the DM+P60+SA group compared to the DC group. Serum creatinine level increased in the DC group, but decreased by 17% in the DM+P60 group and by 43% in the DM+P60+SA group compared to the DC group. The serum BUN level increased in the DC group, but decreased by 41% in the DM+P60+SA group compared to the DC group. Kidney GGT and AP activities decreased in the DC group compared to the NC group; however, they were reversed by DM+P60+SA group. These results show that combined administration of both green tea polyphenol and vitamin C had better effects on improving blood glucose level, insulin resistance, serum triglyceride level, and protecting kidneys than administration of either green tea polyphenol or vitamin C alone in the context of type 2 diabetes.

Evaluation of the stress distribution in the external hexagon implant system with different hexagon height by FEM-3D (임플란트 hexagon 높이에 따른 임플란트와 주위 조직의 응력분포 평가)

  • Park, Seong-Jae;Kim, Joo-Hyeun;Kim, So-Yeun;Yun, Mi-Jung;Ko, Sok-Min;Huh, Jung-Bo
    • The Journal of Korean Academy of Prosthodontics
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    • v.50 no.1
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    • pp.36-43
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    • 2012
  • Purpose: To analyze the stress distribution of the implant and its supporting structures through 3D finite elements analysis for implants with different hexagon heights and to make the assessment of the mechanical stability and the effect of the elements. Materials and methods: Infinite elements modeling with CAD data was designed. The modeling was done as follows; an external connection type ${\phi}4.0mm{\times}11.5mm$ Osstem$^{(R)}$ USII (Osstem Co., Pusan, Korea) implant system was used, the implant was planted in the mandibular first molar region with appropriate prosthetic restoration, the hexagon (implant fixture's external connection) height of 0.0, 0.7, 1.2, and 1.5 mm were applied. ABAQUS 6.4 (ABAQUS, Inc., Providence, USA) was used to calculate the stress value. The force distribution via color distribution on each experimental group's implant fixture and titanium screw was studied based on the equivalent stress (von Mises stress). The maximum stress level of each element (crown, implant screw, implant fixture, cortical bone and cancellous bone) was compared. Results: The hexagonal height of the implant with external connection had an influence on the stress distribution of the fixture, screw and upper prosthesis and the surrounding supporting bone. As the hexagon height increased, the stress was well distributed and there was a decrease in the maximum stress value. If the height of the hexagon reached over 1.2mm, there was no significant influence on the stress distribution. Conclusion: For implants with external connections, a hexagon is vital for stress distribution. As the height of the hexagon increased, the more effective stress distribution was observed.

Manganese and Iron Interaction: a Mechanism of Manganese-Induced Parkinsonism

  • Zheng, Wei
    • Proceedings of the Korea Environmental Mutagen Society Conference
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    • 2003.10a
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    • pp.34-63
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    • 2003
  • Occupational and environmental exposure to manganese continue to represent a realistic public health problem in both developed and developing countries. Increased utility of MMT as a replacement for lead in gasoline creates a new source of environmental exposure to manganese. It is, therefore, imperative that further attention be directed at molecular neurotoxicology of manganese. A Need for a more complete understanding of manganese functions both in health and disease, and for a better defined role of manganese in iron metabolism is well substantiated. The in-depth studies in this area should provide novel information on the potential public health risk associated with manganese exposure. It will also explore novel mechanism(s) of manganese-induced neurotoxicity from the angle of Mn-Fe interaction at both systemic and cellular levels. More importantly, the result of these studies will offer clues to the etiology of IPD and its associated abnormal iron and energy metabolism. To achieve these goals, however, a number of outstanding questions remain to be resolved. First, one must understand what species of manganese in the biological matrices plays critical role in the induction of neurotoxicity, Mn(II) or Mn(III)? In our own studies with aconitase, Cpx-I, and Cpx-II, manganese was added to the buffers as the divalent salt, i.e., $MnCl_2$. While it is quite reasonable to suggest that the effect on aconitase and/or Cpx-I activites was associated with the divalent species of manganese, the experimental design does not preclude the possibility that a manganese species of higher oxidation state, such as Mn(III), is required for the induction of these effects. The ionic radius of Mn(III) is 65 ppm, which is similar to the ionic size to Fe(III) (65 ppm at the high spin state) in aconitase (Nieboer and Fletcher, 1996; Sneed et al., 1953). Thus it is plausible that the higher oxidation state of manganese optimally fits into the geometric space of aconitase, serving as the active species in this enzymatic reaction. In the current literature, most of the studies on manganese toxicity have used Mn(II) as $MnCl_2$ rather than Mn(III). The obvious advantage of Mn(II) is its good water solubility, which allows effortless preparation in either in vivo or in vitro investigation, whereas almost all of the Mn(III) salt products on the comparison between two valent manganese species nearly infeasible. Thus a more intimate collaboration with physiochemists to develop a better way to study Mn(III) species in biological matrices is pressingly needed. Second, In spite of the special affinity of manganese for mitochondria and its similar chemical properties to iron, there is a sound reason to postulate that manganese may act as an iron surrogate in certain iron-requiring enzymes. It is, therefore, imperative to design the physiochemical studies to determine whether manganese can indeed exchange with iron in proteins, and to understand how manganese interacts with tertiary structure of proteins. The studies on binding properties (such as affinity constant, dissociation parameter, etc.) of manganese and iron to key enzymes associated with iron and energy regulation would add additional information to our knowledge of Mn-Fe neurotoxicity. Third, manganese exposure, either in vivo or in vitro, promotes cellular overload of iron. It is still unclear, however, how exactly manganese interacts with cellular iron regulatory processes and what is the mechanism underlying this cellular iron overload. As discussed above, the binding of IRP-I to TfR mRNA leads to the expression of TfR, thereby increasing cellular iron uptake. The sequence encoding TfR mRNA, in particular IRE fragments, has been well-documented in literature. It is therefore possible to use molecular technique to elaborate whether manganese cytotoxicity influences the mRNA expression of iron regulatory proteins and how manganese exposure alters the binding activity of IPRs to TfR mRNA. Finally, the current manganese investigation has largely focused on the issues ranging from disposition/toxicity study to the characterization of clinical symptoms. Much less has been done regarding the risk assessment of environmenta/occupational exposure. One of the unsolved, pressing puzzles is the lack of reliable biomarker(s) for manganese-induced neurologic lesions in long-term, low-level exposure situation. Lack of such a diagnostic means renders it impossible to assess the human health risk and long-term social impact associated with potentially elevated manganese in environment. The biochemical interaction between manganese and iron, particularly the ensuing subtle changes of certain relevant proteins, provides the opportunity to identify and develop such a specific biomarker for manganese-induced neuronal damage. By learning the molecular mechanism of cytotoxicity, one will be able to find a better way for prediction and treatment of manganese-initiated neurodegenerative diseases.

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