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Prevalence of Pathological Brain Lesions in Girls with Central Precocious Puberty: Possible Overestimation?

  • Yoon, Jong Seo;So, Cheol Hwan;Lee, Hae Sang;Lim, Jung Sub;Hwang, Jin Soon
    • Journal of Korean Medical Science
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    • v.33 no.51
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    • pp.329.1-329.9
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    • 2018
  • Background: Brain magnetic resonance imaging (MRI) is routinely performed to identify brain lesions in girls with central precocious puberty (CPP). We aimed to investigate the prevalence and type of brain lesions among Korean girls with CPP and evaluate the need for routine brain MRI examinations. Methods: This retrospective cross-sectional study evaluated data on 3,528 girls diagnosed with CPP from April 2003 to December 2016, and identified 317 girls who underwent sellar MRI. Exclusion criteria were patients with a known brain tumor or who did not undergo brain MRI due to refusal or the decision of the pediatric endocrinologist. Results: Normal sellar MRI findings were observed in 291 of the 317 girls (91.8%). Incidental findings were observed in 26 girls (8.2%). None of the patients had pathological brain lesions. Conclusion: The prevalence of intracranial lesions among girls who were generally healthy and without neurological symptoms but diagnosed with CPP was lower than that previously reported. Furthermore, none of the identified lesions required treatment. It may be prudent to reconsider the routine use of brain MRI to screen all patients with CPP, especially if they are healthy and neurologically asymptomatic, and are girls aged 6-8 years.

Effect of Fall Prevention Education for Older Patients in Comprehensive Nursing Care Service Ward (간호·간병 통합병동에 입원한 노인환자의 낙상예방교육 효과)

  • Shim, Song-mi;Kim, Eunha
    • Journal of Korean Public Health Nursing
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    • v.33 no.2
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    • pp.200-213
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    • 2019
  • Purpose: This study was conducted to examine the effect of a fall prevention education on the fall related knowledge and fall prevention behavior of the elderly patients in comprehensive nursing care service wards. Method: A quasi experimental study with control group and experimental group was used. A total 62 elderly patients in comprehensive nursing care service wards were randomly divided into the experimental group(n=30) and the control group(n=32). The data collection period was from August to December, 2017. Data were analyzed with $X^2-test$, paired t-test, independent t-test and Pearson's correlation coefficient by using SPSS 25.0. Results: Experimental group reported higher score in fall related knowledge than the control group(t=-10.28, p<.001). Participants who viewed DVD and received the leaflet education reported higher score than those with routine admission education(t=-6.51, p<.001). The experimental group showed significant improvement in fall related knowledge and fall prevention behavior(r=.21, p=.015). Conclusion: The fall prevention program was effective in improving fall-related knowledge and fall prevention behavior among elderly patients. Since the DVD plus leaflet education was effective in improving prevention behaviors, it might be included in routine orientation on admission for the elderly patient in comprehensive nursing care service wards.

Beliefs About Infants of Mothers Rearing 18~24 Month Old Infants and Their Practices (18~24개월 자녀를 둔 어머니의 영아에 대한 신념 및 신념에 따른 양육 실제)

  • Ahn, Ye Seul;Kim, Kyo Ryoung;Lee, Seung Yeon
    • Korean Journal of Childcare and Education
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    • v.17 no.4
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    • pp.1-27
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    • 2021
  • Objective: This study aimed to understand mothers' beliefs about infants and their practices. Methods: As a qualitative study, the participants were 11 mothers and their 18-24 month old infants. Data were collected through in-depth interviews and observations. Results: The participants' maternal beliefs about infants were contrasted in terms of infants' abilities and respect for infants. First, the mothers that perceived infants as competent beings, believed that infants can understand daily routine, communicate and empathize, and concentrate. On the contrary, the mothers that perceived infants as incapable beings, believed that infants lack the understanding of daily routine and the abilities of communication, empathy, and concentration. Second, the mothers that perceived infants as subjective beings, respected their infants, and their infants' opinions when making decisions. On the other hand, the mothers that perceived infants as objective beings, believed that infants should be led by adults and their opinions as not being very important. Third, their maternal beliefs were closely connected to their practices. Conclusion/Implications: Since maternal beliefs about infants turn out to be significant in mothers' thoughts and practices with their infants, it is necessary to figure out maternal beliefs about infants and support them to have more positive beliefs.

Classification of Midinfrared Spectra of Colon Cancer Tissue Using a Convolutional Neural Network

  • Kim, In Gyoung;Lee, Changho;Kim, Hyeon Sik;Lim, Sung Chul;Ahn, Jae Sung
    • Current Optics and Photonics
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    • v.6 no.1
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    • pp.92-103
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    • 2022
  • The development of midinfrared (mid-IR) quantum cascade lasers (QCLs) has enabled rapid high-contrast measurement of the mid-IR spectra of biological tissues. Several studies have compared the differences between the mid-IR spectra of colon cancer and noncancerous colon tissues. Most mid-IR spectrum classification studies have been proposed as machine-learning-based algorithms, but this results in deviations depending on the initial data and threshold values. We aim to develop a process for classifying colon cancer and noncancerous colon tissues through a deep-learning-based convolutional-neural-network (CNN) model. First, we image the midinfrared spectrum for the CNN model, an image-based deep-learning (DL) algorithm. Then, it is trained with the CNN algorithm and the classification ratio is evaluated using the test data. When the tissue microarray (TMA) and routine pathological slide are tested, the ML-based support-vector-machine (SVM) model produces biased results, whereas we confirm that the CNN model classifies colon cancer and noncancerous colon tissues. These results demonstrate that the CNN model using midinfrared-spectrum images is effective at classifying colon cancer tissue and noncancerous colon tissue, and not only submillimeter-sized TMA but also routine colon cancer tissue samples a few tens of millimeters in size.

Optimizing 2-stage Tiling-based Matrix Multiplication in FPGA-based Neural Network Accelerator (FPGA기반 뉴럴네트워크 가속기에서 2차 타일링 기반 행렬 곱셈 최적화)

  • Jinse, Kwon;Jemin, Lee;Yongin, Kwon;Jeman, Park;Misun, Yu;Taeho, Kim;Hyungshin, Kim
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.6
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    • pp.367-374
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    • 2022
  • The acceleration of neural networks has become an important topic in the field of computer vision. An accelerator is absolutely necessary for accelerating the lightweight model. Most accelerator-supported operators focused on direct convolution operations. If the accelerator does not provide GEMM operation, it is mostly replaced by CPU operation. In this paper, we proposed an optimization technique for 2-stage tiling-based GEMM routines on VTA. We improved performance of the matrix multiplication routine by maximizing the reusability of the input matrix and optimizing the operation pipelining. In addition, we applied the proposed technique to the DarkNet framework to check the performance improvement of the matrix multiplication routine. The proposed GEMM method showed a performance improvement of more than 2.4 times compared to the non-optimized GEMM method. The inference performance of our DarkNet framework has also improved by at least 2.3 times.

유한요소법에 의한 교류자장계산에 관한 연구

  • 김인호;정현교;이기식;한송엽
    • 전기의세계
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    • v.30 no.7
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    • pp.448-453
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    • 1981
  • To solve alternating magnetic field problems, the program TDEDDY is developed with the use of the finite element method. Triangular finite elements of the first order are employed for the discretization of the field region. This program is constructed through an interactive system to check errors immediately when every routine is executed, and several subprograms are employed for the graphic representation of computed results. As an example, it is applied to a model of semi-infinite slab excited by an alternating current source. Results by the program TDEDDY show the satisfactory accuracy in comparision with those of analytic calculations.

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Improvement of Investigation Items of Fatal Industrial Accidents Considering Human Error Characteristics (인적오류를 고려한 중대재해 조사항목의 개선)

  • 이동하;나윤균
    • Journal of the Korean Society of Safety
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    • v.13 no.4
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    • pp.279-285
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    • 1998
  • This study investigated human error characteristics of the 42 fatal industrial accidents reported by staff members of Korea Industrial Safety Corporation. Various types of human error were judged to be primary contributing factors in about 74 percent of the cases. Most of human error made by involved industrial operators resulted from two types of mistakes: (1) mistake in judgement of work situation, and (2) omission in daily check. It was concluded that preparation/observance for work procedure manuals, danger predication training and enforcement/Education of daily check routine would be effective preventive tools for these types of human error attributable to fatal industrial accidents.

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Developing Mathematical Promise and Creativity

  • Sheffield Linda Jensen
    • Research in Mathematical Education
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    • v.10 no.1 s.25
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    • pp.1-11
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    • 2006
  • In today's world, it is not enough to be proficient at computation or at memorizing rote procedures to solve routine problems. These skills are important, but even more important are the abilities to recognize and define problems, generate multiple solutions or paths toward solution, reason, justify conclusions, and communicate results. These are not abilities that one is born with and they do not generally develop on their own. For students to become gifted, promising, and creative mathematicians, these talents must be cultivated and nurtured.

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A Bayesian Test Criterion for the Multivariate Behrens-Fisher Problem

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • v.28 no.1
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    • pp.107-124
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    • 1999
  • An approximate Bayes criterion for multivariate Behrens-Fisher problem is proposed and examined. Development of the criterion involves derivation of approximate Bayes factor using the imaginary training sample approach introduced by Speigelhalter and Smith (1982). The criterion is designed to develop a Bayesian test, so that it provides an alternative test to other tests based upon asymptotic sampling theory (such as the tests suggested by Bennett(1951), James(1954) and Yao(1965). For the derived criterion, numerical studies demonstrate routine application and give comparisons with the classical tests.

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A Bayes Criterion for Testing Homogeneity of Two Multivariate Normal Covariances

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • v.27 no.1
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    • pp.11-23
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    • 1998
  • A Bayes criterion for testing the equality of covariance matrices of two multivariate normal distributions is proposed and studied. Development of the criterion invloves calculation of Bayes factor using the imaginary sample method introduced by Spiegelhalter and Smith (1982). The criterion is designed to develop a Bayesian test criterion, so that it provides an alternative test criterion to those based upon asymptotic sampling theory (such as Box's M test criterion). For the constructed criterion, numerical studies demonstrate routine application and give comparisons with the traditional test criteria.

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