• Title/Summary/Keyword: normal function

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Recovery Related to Vocalization and Swallowing After Tracheostomy (기관절개술 후 음성 및 연하 재활)

  • Lee, Chang-Yoon;Son, Hee Young
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.33 no.1
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    • pp.7-12
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    • 2022
  • Tracheostomy refers to a surgical incision created in the neck to allow direct air entry into the trachea bypassing the upper respiratory tract including the oral and nasal cavities. Normal vocalization and swallowing are limited immediately postoperatively; however, gradual recovery of vocalization and swallowing function can be initiated, following improvement in the causative condition that necessitated the tracheostomy. Duration of the tracheostomy depends upon the patient's condition, and the degree of vocalization and swallowing function recovery after tracheostomy tube removal varies widely across patients. In this review, we investigated the changes associated with vocalization and swallowing function in patients who underwent tracheostomy and have discussed the various approaches and voice rehabilitation treatments to aid with normal recovery.

CONVERGENCE PROPERTIES OF A CORRELATIVE POLAK-RIBIERE CONJUGATE GRADIENT METHOD

  • Hu Guofang;Qu Biao
    • Journal of applied mathematics & informatics
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    • v.22 no.1_2
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    • pp.461-466
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    • 2006
  • In this paper, an algorithm with a new Armijo-type line search is proposed that ensure global convergence of a correlative Polak-Ribiere conjugate method for the unconstrained minimization of non-convex differentiable function.

Entire Functions That Share One Value With Their Derivatives

  • Lu, Feng;Xu, Junfeng
    • Kyungpook Mathematical Journal
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    • v.47 no.3
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    • pp.439-448
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    • 2007
  • In the paper, we use the theory of normal family to study the problem on entire function that share a finite non-zero value with their derivatives and prove a uniqueness theorem which improve the result of J.P. Wang and H.X. Yi.

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Risk Factors of Coronary Artery Bypass Grafting According to Ventricular Function (좌심실기능에 따른 관상동맥우회술의 위험인자)

  • 이헌재;현성렬
    • Journal of Chest Surgery
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    • v.30 no.9
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    • pp.885-890
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    • 1997
  • Patients with coronary artery disease and depressed ventricular function have better longterm benefits after coronary artery bypass grafting compared with medical therapy. But operative mortality remains high. This study was designed to identify the risk factors for coronary artery bypass grafting according to ventricular function. The records of 103 patients who underwent coronary artery bypass grafting from truly 1994 to June 1996 were analysed. The patients were divided into two groups based on preoperative ejection fraction: Low EF group(Ejection fraction < 40%, n=24) and Normal EF group(Ejection fraction $\geq$ 40%, n=79). The indication of operation was significantly different between the two groups (p=0.00003). Postinfarction angina was frequent in Low EF group but unstable angina was frequent in Normal EF group. The frequency of cardiomegaly(p=0.0012), serum creatinine abnormality(p=0.0473) and preoperative use of IABP(Intra Aortic Balloon Pump, p=0.0095) were higher in Low EP group. The left internal thoracic artery was used less frequently in Low EP group(p=0.00416). The operative mortality was 8.3% in Low EF group and 5.1% in Normal EF group, but without statistical difference(p=0.5492). In Normal EF group, age (p=0.041) was identified as a significant risk factor for operative mortality. In Low EF group, age(p=0.018), preopertive use of IABP(p=0.0036), hypercholesterolemia(p=0.0007), and emergency of operation(p=0.0037) were identified as significant risk factors. Postoperative morbidity was 50% in Low EF group and 33olo in Normal EP group, but without s atistical significance(p=0.1007). These results suggest that in patients with coronary artery disease and depressed ventricular function, more aggresive coronary artery bypass grafting is needed to improve the symptom and long-term benefit.

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Safety of Prescribed Korean Herbal Medicine on Liver Function : Prospective Multi-center Pilot Study (한약 복용이 간기능에 미치는 영향 : 전향적 다기관 예비연구)

  • Yun, Young-Ju;Park, Jae-Heon;Paeck, Eun-Kyung;Park, Jae-Hyung;Jeong, Seul-Ki;Park, Hae-Mo;Lee, Sun-Dong;Shin, Byung-Cheul
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.23 no.3
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    • pp.715-722
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    • 2009
  • The aim of this study was to investigate the safety of short-term use of Korean herbal medicine (KHM; prescribed herbal medicine by doctors of traditional Korean medicine) on liver function. Three hundred eighty four outpatients who took KHM for various conditions were enrolled for multi-center, prospective observational study. Of them 237 patients completed questionnaire and were checked liver function (aspartic aminotransferase;AST, alanine aminotransferase;ALT, alkaline phosphatase;ALP, total bilirubin;t-Bil, direct bilirubin;d-Bil, gamma glutamyltranspeptidase;GGT, protein and albumin) before and after taking KHM (duration; 21.4${\pm}$10.0 days), and data were analysed statistically. Of the 213 patients showing normal liver function test (LFT) at baseline, 209 (98.1%) remained within the normal range at the second test while 3 (1.4%) revealed slight increase of LFT. Only one subject had raised LFT regarding level of liver injury without perceived symptoms. Twenty-four of 237 patients were abnormal at baseline, and 16 at the second testing. Of the patients taking KHM, only 4 changed from normal to abnormal while 12 from abnormal to normal in their LFT. There were no significant increase in LFT level between the first and second test, except in the t-Bil level, however, the change of t-Bil was small and within normal range. The current study showed that the use of KHM did not increase the frequency of abnormal LFTs, at least in the short term.

Selecting a Transformation to Reduce Skewness

  • Yeo, In-Kwon
    • Journal of the Korean Statistical Society
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    • v.30 no.4
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    • pp.563-571
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    • 2001
  • In this paper, we study selecting a transformation so that the transformed variable is nearly symmetrically distributed. The large sample properties of an M-estimator of transformation parameter that is obtained by minimizing the integrated square of the imaginary part of the empirical characteristic function are investigated when a random sample is selected from some unspecified distribution. According to influence function calculations and Monte Carlo simulations, these estimates are less sensitive, than the normal model maximum likelihood estimates, to a few outliers.

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Cognitive function of idiopathic childhood epilepsy

  • You, Su-Jeong
    • Clinical and Experimental Pediatrics
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    • v.55 no.5
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    • pp.159-163
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    • 2012
  • Most children with epilepsy are of normal intelligence. However, a significant subset will have temporary or permanent cognitive impairment. Factors that affect cognitive function are myriad and include the underlying neuropathology of the epilepsy, seizures, epileptiform discharges, psychosocial problems, age at seizure onset, duration of epilepsy, and side effects associated with antiepileptic drugs. This review article discusses cognitive function in children with idiopathic epilepsy and the effects of antiepileptic drugs on cognitive function in children.

AN EXACT LOGARITHMIC-EXPONENTIAL MULTIPLIER PENALTY FUNCTION

  • Lian, Shu-jun
    • Journal of applied mathematics & informatics
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    • v.28 no.5_6
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    • pp.1477-1487
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    • 2010
  • In this paper, we give a solving approach based on a logarithmic-exponential multiplier penalty function for the constrained minimization problem. It is proved exact in the sense that the local optimizers of a nonlinear problem are precisely the local optimizers of the logarithmic-exponential multiplier penalty problem.

Online Identification for Normal and Abnormal Status of Water Quality on Ocean USN (해양 USN 환경에서 수질환경의 온라인 정상·비정상 상태 구분)

  • Jeoung, Sin-Chul;Ceong, Hee-Taek
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.4
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    • pp.905-915
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    • 2012
  • This paper suggests the online method to identify normal and abnormal state of water quality on the ocean USN. To define normal of the ocean water quality, we utilize the negative selection algorithm of artificial immunity system which has self and nonself identification characteristics. To distinguish abnormal status, normal state set of the ocean water quality needs to be defined. For this purpose, we generate normal state set base on mutations of each data and mutation of the data as logical product. This mutated normal (or self) sets used to identify abnormal status of the water quality. We represent the experimental result about mutated self set with the Gaussian function. Through setting the method on the ocean sensor logger, we can monitor whether the ocean water quality is normal or abnormal state by online.