• Title/Summary/Keyword: Trajectory recovery

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Experiences of Ego Integrity Recovery in Elderly Cancer Patients: Grounded Theory Approach (노인 암환자의 자아통합감 회복 경험: 근거이론 접근)

  • Choi, Han-Gyo;Yeom, Hye-Ah
    • Journal of Korean Academy of Nursing
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    • v.49 no.3
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    • pp.349-360
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    • 2019
  • Purpose: This study was conducted to derive a substantive theory on lived experiences of elderly cancer patients. Methods: The data were collected from February to March 2018 through in-depth personal interviews with 14 elderly cancer patients. The collected data were analyzed based on Corbin and Strauss's grounded theory. Results: The core category was "the journey to find balance in daily lives as a cancer patient by recovering disturbed ego integrity." The core phenomenon was "shattered by suffering from cancer," and the causal conditions were "physical change" and "limitations in daily life." The contextual conditions were "decreased self-esteem," "feelings of guilt toward the family," and the sense of "economic burden." The participants' action and interaction strategies were "maintaining or avoiding social relations," "seeking meaning of the illness," "falling into despair," and "strengthening the willingness to battle the cancer." The intervening conditions were "support from health care providers and family," "dissatisfaction with health care providers," "spiritual help from religion," and "the improvement or worsening of health conditions." The consequences were "having a new insight for life," "living positively along with cancer illness," and "the loss of willingness to live." A summary of the series of processes includes the "crisis stage," "reorganizing stage," and the "ego integration stage." Conclusion: This study explored the holistic process of ego integrity impairment and the recovery experience of elderly cancer patients. This study is expected to be used as a basis for the development of nursing interventions that can support patients when coping with all stages of their cancer illness trajectory.

Factors Influencing Relocation Stress Syndrome in Patients Following Transfer from Intensive Care Units (중환자실 환자의 일반 병동 전실 시 스트레스 영향요인)

  • Park, Jin-Hee;Yoo, Moon-Sook;Son, Youn-Jung;Bae, Sun-Hyoung
    • Journal of Korean Academy of Nursing
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    • v.40 no.3
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    • pp.307-316
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    • 2010
  • Purpose: The purpose of this study was to identify the levels of relocation stress syndrome (RSS) and influencing the stress experienced by Intensive Care Unit (ICU) patients just after transfer to general wards. Methods: A cross-sectional study was conducted with 257 patients who transferred from the intensive care unit. Data were collected through self-report questionnaires from May to October, 2009. Data were analyzed using the Pearson correlation coefficient, t-test, one-way ANOVA, and stepwise multiple linear regression with SPSS/WIN 12.0. Results: The mean score for RSS was $17.80{\pm}9.16$. The factors predicting relocation stress syndrome were symptom experience, differences in scope and quality of care provided by ICU and ward nursing staffs, satisfaction with transfer process, length of stay in ICU and economic status, and these factors explained 40% of relocation stress syndrome (F=31.61, p<.001). Conclusion: By understanding the stress experienced by ICU patients, nurses are better able to provide psychological support and thus more holistic care to critically ill patients. Further research is needed to consider the impact of relocation stress syndrome on patients' health outcomes in the recovery trajectory.

3-D shape and motion recovery using SVD from image sequence (동영상으로부터 3차원 물체의 모양과 움직임 복원)

  • 정병오;김병곤;고한석
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.3
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    • pp.176-184
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    • 1998
  • We present a sequential factorization method using singular value decomposition (SVD) for recovering both the three-dimensional shape of an object and the motion of camera from a sequence of images. We employ paraperpective projection [6] for camera model to handle significant translational motion toward the camera or across the image. The proposed mthod not only quickly gives robust and accurate results, but also provides results at each frame becauseit is a sequential method. These properties make our method practically applicable to real time applications. Considerable research has been devoted to the problem of recovering motion and shape of object from image [2] [3] [4] [5] [6] [7] [8] [9]. Among many different approaches, we adopt a factorization method using SVD because of its robustness and computational efficiency. The factorization method based on batch-type computation, originally proposed by Tomasi and Kanade [1] proposed the feature trajectory information using singular value decomposition (SVD). Morita and Kanade [10] have extenened [1] to asequential type solution. However, Both methods used an orthographic projection and they cannot be applied to image sequences containing significant translational motion toward the camera or across the image. Poleman and Kanade [11] have developed a batch-type factorization method using paraperspective camera model is a sueful technique, the method cannot be employed for real-time applications because it is based on batch-type computation. This work presents a sequential factorization methodusing SVD for paraperspective projection. Initial experimental results show that the performance of our method is almost equivalent to that of [11] although it is sequential.

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The Selective p-Distribution for Adaptive Refinement of L-Shaped Plates Subiected to Bending (휨을 받는 L-형 평판의 적응적 세분화를 위한 선택적 p-분배)

  • Woo, Kwang-Sung;Jo, Jun-Hyung;Lee, Seung-Joon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.20 no.5
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    • pp.533-541
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    • 2007
  • The Zienkiewicz-Zhu(Z/Z) error estimate is slightly modified for the hierarchical p-refinement, and is then applied to L-shaped plates subjected to bending to demonstrate its effectiveness. An adaptive procedure in finite element analysis is presented by p-refinement of meshes in conjunction with a posteriori error estimator that is based on the superconvergent patch recovery(SPR) technique. The modified Z/Z error estimate p-refinement is different from the conventional approach because the high order shape functions based on integrals of Legendre polynomials are used to interpolate displacements within an element, on the other hand, the same order of basis function based on Pascal's triangle tree is also used to interpolate recovered stresses. The least-square method is used to fit a polynomial to the stresses computed at the sampling points. The strategy of finding a nearly optimal distribution of polynomial degrees on a fixed finite element mesh is discussed such that a particular element has to be refined automatically to obtain an acceptable level of accuracy by increasing p-levels non-uniformly or selectively. It is noted that the error decreases rapidly with an increase in the number of degrees of freedom and the sequences of p-distributions obtained by the proposed error indicator closely follow the optimal trajectory.

An estimation method of probability of infection using Reed - Frost model (Reed - Frost 모형을 이용한 전염병 감염 확률 추정)

  • Eom, Eunjin;Hwang, Jinseub;Choi, Boseung
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.1
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    • pp.57-66
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    • 2017
  • SIR model (Kermack and McKendrik, 1927) is one of the most popular method to explain the spread of disease, In order to construct SIR model, we need to estimate transition rate parameter and recovery rate parameter. If we don't have any information of the two rate parameters, we should estimate using observed whole trajectory of pandemic of disease. Thus, with restricted observed data, we can't estimate rate parameters. In this research, we introduced Reed-Frost model (Andersson and Britton, 2000) to calculate the probability of infection in the early stage of pandemic with the restriction of data. When we have an initial number of susceptible and infected, and a final number of infected, we can apply Reed - Frost model and we can get the probability of infection. We applied the Reed - Frost model to the Vibrio cholerae pandemic data from Republic of the Cameroon and calculated the probability of infection at the early stage. We also construct SIR model using the result of Reed - Frost model.

Analysis of Soil Bacterial Community in Ihwaryeong and Yuksimnyeong Restoration Project Sites Linking the Ridgeline of Baekdudaegan (이화령 및 육십령 백두대간 생태축 복원사업지 토양 박테리아 군집 분석)

  • Park, Yeong Dae;Kwon, Tae Ho;Eo, Soo Hyung
    • Journal of agriculture & life science
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    • v.50 no.1
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    • pp.117-124
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    • 2016
  • Researches on soil microbial community are increasing to assess ecosystem responses to anthropogenic disturbances and to provide an indicator of ecosystem recovery. Microbial communities are able to respond more rapidly to environmental changes than plants and therefore they may provide an early indication of the ecosystem recovery trajectory. This study was conducted using 16S rRNA gene pyrosequencing of soil samples to compare soil bacterial community composition between artificially covered soils of the Baedudaegan ridgeline and their adjacent forest soils in two restoration project sites, Ihwaryeong and Yuksimnyeong, which were completed in 2012 and 2013, respectively. Richness of the Phylum level was 29.3 in Ihwaryeong and 32.3 in Yuksimnyeong. Significant difference in the richness between artificial restored soils and adjacent forest soils(p<0.01) was observed, however no significant difference was observed for site location and soil depth. Acidobacteria(37.3%) and Proteobacteria(31.1%) were more abundant than any other phylum in collected soil samples. Also, we found the significant difference in the relative abundance of the two abundant phyla between artificially restored soils and their adjacent forest soils (Proteobacteria, 38.1% in restored soils vs 24.2% in adjacent forest soils, p<0.01; Acidobacteria, 55.4% in restored soils vs 19.2% in adjacent forest soils, p<0.001). The results support the previous researches indicating that soil bacterial community composition is affected by nutritional status of soils and that Acidobacteria is also strongly influenced by pH, thus favoring soils with lower pH. This study could be utilized to monitor and evaluate restoration success of forest soil environment quantitatively.

Negative Pressure Aspiration of Spontaneous Intracerebral Hematoma (자발성 뇌내혈종의 음압배액술)

  • Kim, Il-Man;Son, Eun Ik;Kim, Dong Won;Yim, Man Bin
    • Journal of Korean Neurosurgical Society
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    • v.29 no.6
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    • pp.738-743
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    • 2000
  • Objectives : The less invasive stereotactic surgery of hypertensive intracerebral hematoma has been preferred. Many techniques were developed to facilitate aspiration of a dense blood clot in acute stage. Authors describe a method for evacuation of putaminal hematoma via computerized tomography(CT)-aided free-hand stereotactic infusion of urokinase and frequent negative pressure aspiration. Patients and Methods : A total of ten patients with spontaneous putaminal hematoma underwent surgery with negative pressure aspiration in the three-year period. All procedures were performed within 12 hours of insult. A silicone ventricular catheter was inserted into the center of hematoma through a burr hole at the Kocher's point under local anesthesia. In a typical case of putaminal hematoma, the trajectory of catheter was pointed the center of hematoma parallel to sagittal plane vertically and the external auditory meatus posteriorly. Immediately after the first trial of hematoma aspiration low-dose urokinase solution(2,000IU/5ml saline) was administrated through the catheter and drain was clipped for 30 minutes. Subsequently, the partially liquified hematoma was manually aspirated using a 10ml syringe with a negative pressure of less than 2 to 3ml. The procedure was carefully repeated every 1 hour until the hematoma was near totally evacuated. Results : The patients population consisted composed of 4 men and 6 women with a mean age of 61.6 years. All had major neurological deficits preoperatively. The mean hematoma volume was 44.3 ml and hematoma was drained for 20 to 48 hours. No complications such as rebleeding, meningitis, or malplaced catheter were noted. Outcome was moderately disabled in four patients and good recovery in three patients. Conclusion : Although the frequent negative pressure aspiration and low-dose urokinase infusion has the disadvantage of possbility of rebleeding and infection, it is consisdered to be an effective method because it allows a simple, safe, and complete removal of hematoma.

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Successional Changes in Seed Banks in Abandoned Rice Fields in Gwangneung, Central Korea

  • Lee, Seon-Mi;Cho, Yong-Chan;Shin, Hyun-Chul;Oh, Woo-Seok;Seol, Eun-Sil;Park, Sung-Ae;Lee, Chang-Seok
    • Journal of Ecology and Environment
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    • v.31 no.4
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    • pp.269-276
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    • 2008
  • In order to understand the role of seed banks for restoration, seed banks in abandoned rice fields in the Gwangneung National Arboretum, central Korea were investigated using the seedling emergence method. The study sites represented three stages: an initial stage dominated by forbs such as Persicaria thunbergii and Juncus effuses var. decipiens, a middle stage dominated by Salix, and a late stage dominated by Quercus aliena and Prunus padus (in nearby riparian forest chosen as a reference stand). DCA ordination arranged the stands according to the number of years since abandonment. CCA ordination identified the dominant environmental variables correlated most closely with Axes 1 and 2 as $Mg^{2+}$ (intraset correlation was 0.827) and $K^+$ (intraset correlation was -0.677), respectively. Species richness and diversity decreased from the initial stage (H'=2.61) to the middle (H'=1.79) and late (H'=0.75) stages. A total of 49 species $(/m^2)$ and 18,620 seedlings $(/m^2)$ emerged out of the seed bank samples. The DCA ordination and similarity analysis detected a large discrepancy between the composition of the actual vegetation and the seed bank. We conclude that the contribution of seed bank to restoration is low. However, seed bank may help the recovery of forbs after disturbance. Some of our results are consistent with the tolerance model of succession whereas others follow the trajectory of the facilitation model. More research on succession will be required to understand the underlying mechanisms.

The Influence of Human Capital on GDP Dynamics: Modeling in the COVID-19 Conditions

  • Derii, Zhanna;Zosymenko, Tetiana;Shaposhnykov, Kostiantyn;Tochylina, Yuliia;Krylov, Denys;Papaika, Oleksandr
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.67-76
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    • 2022
  • COVID-19 struck labor markets around the world, exposing and exacerbating the gender inequalities within the human capital structure. The last, in its turn, jeopardizes the return of the national economies to the growth trajectory undermined by pandemic impact. The authors assume that COVID-19 disproportionately affected the employment rates of women and men, which led to increased gender inequality in the labor market, which, in turn, affected GDP growth rates in the EU. To prove this hypothesis two research questions are discovered: 1) whether there was a different correlation between the number of COVID-19 cases in the EU and indicators of the labor market for women and men; and 2) whether there was a link between the growth of gender inequality in the EU labor market and the GDP dynamics in these countries. The analysis of the correlation between the number of cases of COVID-19 and indicators of the labor market in the EU revealed faster growth of women's unemployment rates compared to men's ones as the COVID-19 incidence unfolded. Multiple linear regression and factor analysis have been used to investigate the influence of gender inequality in the labor market on GDP dynamics. Despite the methodological limitations, the proposed model is both a sound argument and an analytical basis in favor of gender-responsive economic recovery backed by the systematic and consistent gender equality policy of a government.

Moving Object Tracking Scheme based on Polynomial Regression Prediction in Sparse Sensor Networks (저밀도 센서 네트워크 환경에서 다항 회귀 예측 기반 이동 객체 추적 기법)

  • Hwang, Dong-Gyo;Park, Hyuk;Park, Jun-Ho;Seong, Dong-Ook;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
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    • v.12 no.3
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    • pp.44-54
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    • 2012
  • In wireless sensor networks, a moving object tracking scheme is one of core technologies for real applications such as environment monitering and enemy moving tracking in military areas. However, no works have been carried out on processing the failure of object tracking in sparse sensor networks with holes. Therefore, the energy consumption in the existing schemes significantly increases due to plenty of failures of moving object tracking. To overcome this problem, we propose a novel moving object tracking scheme based on polynomial regression prediction in sparse sensor networks. The proposed scheme activates the minimum sensor nodes by predicting the trajectory of an object based on polynomial regression analysis. Moreover, in the case of the failure of moving object tracking, it just activates only the boundary nodes of a hole for failure recovery. By doing so, the proposed scheme reduces the energy consumption and ensures the high accuracy for object tracking in the sensor network with holes. To show the superiority of our proposed scheme, we compare it with the existing scheme. Our experimental results show that our proposed scheme reduces about 47% energy consumption for object tracking over the existing scheme and achieves about 91% accuracy of object tracking even in sensor networks with holes.