• Title/Summary/Keyword: general time interval

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Clinical Study on Lobaplatin Combined with 5-Fu and Concurrent Radiotherapy in Treating Patients with Inoperable Esophageal Cancer

  • Jia, Xiao-Jing;Huang, Jing-Zi
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.15
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    • pp.6595-6597
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    • 2015
  • Objective: To investigate short- and long-term treatment effects and side reactions of lobaplatin plus 5-Fu combined and concurrent radiotherapy in treating patients with inoperable middle-advanced stage esophageal cancer. Methods: Sixty patients with middle-advanced stage esophageal squamous cell cancer were retrospectively analyzed. All patients were administered lobaplatin (50 mg intravenously) for 2 h on day 1, and 5-Fu ($500mg/m^2$) injected intravenously from day 1 to 5 for 1 cycle, in an interval of 21 days for totally 4 cycles. At the same time, late-course accelerated hyperfractionated three-dimensional conformal radiotherapy was performed. Patients were firstly treated with conventional fractionated irradiation (1.8 Gy/d, 5 times/week, a total of 23 treatments, and DT41.4 Gy), and then treated with accelerated hyperfractionated irradiation (1.5 Gy, 2 times/d, a total of 27 Gy in 9 days, an entire course of 6-7 weeks, and DT 68.4Gy). Results: All patients completed treatment, including 10 complete response (CR), 41 partial response (PR), 7 stable disease (SD), and 2 progressive disease (PD). The total effective rate was 85.0% (51/60). Thirty-nine patients had an increased KPS score. One-, 2-, and 3-year survival rates were 85.3%, 57.5%, and 41.7%, respectively. The median survival time was 27 months. The adverse reactions included myelosuppression, which was mainly degree I and II. The occurrence rate of radiation esophagitis was 17.5%. No significant hepatic or renal toxicity was observed. Conclusion: Lobaplatin plus 5-Fu combined with concurrent radiotherapy is safe and effective in treating patients with middle-advanced stage esophageal cancer. However, this result warrants further evaluation by randomized clinical studies.

Modeling of the Optimal Operation Pattern for Energy Saving of The Trains (전동열차의 운행에너지 절감을 위한 최적 운행 패턴 모델링)

  • Kim, Jung-Hyun;Lee, Se-Hoon;Jun, Sang-Pyo
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.12
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    • pp.187-196
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    • 2014
  • In this paper, Minimize driving energy for operation within a defined distance yeokgan fixed time-resolved and determine the nature of the train is traveling, and to model mathematically. Urban rail car cruise in general by the PID controller is used instead of automatically tracking a target value while traveling in energy consumption to be minimized by using optimal control model railroad charyangreul was designed under real operating conditions the same. The actual track conditions apply to the minimum value or a separate listing of cars around the track facility without a driving energy of the automatic operation and to reduce the driving energy. Therefore, actual route chosen straight line 8 / gradient segment / curve for the measured data analysis, such as sections within the city-minute drive each section and presented how the trains to save energy, depending on the pattern of the train station in the region.

Smoke detection in video sequences based on dynamic texture using volume local binary patterns

  • Lin, Gaohua;Zhang, Yongming;Zhang, Qixing;Jia, Yang;Xu, Gao;Wang, Jinjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.11
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    • pp.5522-5536
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    • 2017
  • In this paper, a video based smoke detection method using dynamic texture feature extraction with volume local binary patterns is studied. Block based method was used to distinguish smoke frames in high definition videos obtained by experiments firstly. Then we propose a method that directly extracts dynamic texture features based on irregular motion regions to reduce adverse impacts of block size and motion area ratio threshold. Several general volume local binary patterns were used to extract dynamic texture, including LBPTOP, VLBP, CLBPTOP and CVLBP, to study the effect of the number of sample points, frame interval and modes of the operator on smoke detection. Support vector machine was used as the classifier for dynamic texture features. The results show that dynamic texture is a reliable clue for video based smoke detection. It is generally conducive to reducing the false alarm rate by increasing the dimension of the feature vector. However, it does not always contribute to the improvement of the detection rate. Additionally, it is found that the feature computing time is not directly related to the vector dimension in our experiments, which is important for the realization of real-time detection.

Comparison of the Effect of Applying Polyethylene Wrap and Aircap in Maintaining Body Temperature of Preterm Infants (폴리에틸렌 랩과 에어캡의 적용이 미숙아의 체온 유지에 미치는 효과)

  • Lee, Eun Sook;Lee, Han Na;Park, Ji Hyun
    • Journal of Korean Clinical Nursing Research
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    • v.26 no.2
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    • pp.232-239
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    • 2020
  • Purpose: This study was an quasi-experimental study to compare the effect of applying polyethylene wrap and aircap in maintaining body temperature of preterm infants. Methods: The participants were 51 preterm infants. Aircap was applied to the experimental group (n=23) and polyethylene wrap was applied to the control group (n=28) when the preterm infants admitted to neonatal intensive care unit. The data was collected at W hospital in J-province from June 2016 to May 2017. A total of 9 body temperature measurements were taken at 3 hours interval from 5 min to 24 hours after admission. Repeated measure ANOVA, independent t-test and χ2 test were conducted used with SPSS/WIN 24.0 Results: There were no significant difference in the homogeneity tests for general characteristics and dependent variables prior to the experiments (t=0.57, p=.566). There was a significant difference on body temperature of preterm infants over time (F=3.24, p=.020). There was no significant difference on body temperature between polyethylene wrap and aircap application groups (F=1.29, p=.261). The interaction between the group and the time was insignificant (F=1.51, p=.214). Conclusion: The findings demonstrated that both methods of applying polyethylene wrap and aircap on the body in preterm infants had effect in maintaining body temperature.

The Predictive Factors of the Serum Creatine Kinase Level Normalization Time in Patients with Rhabdomyolysis due to Doxylamine Ingestion (독시라민 중독으로 발생한 횡문근융해증 환자에게서 혈중 크레아틴인산활성화효소 수치가 정상화되는 시기를 예측할 수 있는 인자)

  • Shin, Min-Chul;Kwon, Oh-Young;Lee, Jong-Suk;Choi, Han-Sung;Hong, Hoon-Pyo;Ko, Young-Gwan
    • Journal of The Korean Society of Clinical Toxicology
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    • v.7 no.2
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    • pp.156-163
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    • 2009
  • Purpose: Doxylamine succinate (DS) is frequently used to treat insomnia and it may induce rhabdomyolysis in the overdose cases. The purpose of this study is to evaluate the factors that can predict the serum creatine kinase (CK) level normalization time for patients with rhabdomyolysis due to DS ingestion. Methods: This study was conducted on 71 patients who were admitted with rhabdomyolysis after DS ingestion during the period from January 2000 to July 2009. Rhabdomyolysis was defined as a serum CK level over 1,000 U/L. The collected data included the general characteristics, the anticholinergic symptoms, the ingested dose, the peak serum CK level, the time interval (TI) from the event to the peak CK level and the TI from the event to a CK level below 1,000 U/L. We evaluated the correlation between the patients' variables and the TI from the event to the peak CK level time and the time for a CK level below 1,000 U/L. Results: The mean ingested dose per body weight (BW) was $30.86{\pm}18.63\;mg/kg$ and the mean TI from the event to treatment was $4.04{\pm}3.67$ hours. The TI from the event to the peak CK level was longer for the patients with a larger ingestion dose per BW (r=0.587, p<0.05). The CK normalization time was longer for the patients with a larger ingested dose per BW (r=0.446, p<0.05) and a higher peak CK level (r=0.634, p<0.05). Conclusion: The ingested dose per BW was correlated with the TI from the event to the peak CK level, and the ingested dose per BW and the peak CK level have significant correlations with the CK normalization time. These factors may be used to determine the discharge period of patients who had rhabdomyolysis following a OS overdose.

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Detection of Apoptosis by M30 Monoclonal Antibody in Non-small Cell Lung Carcinomas (비소세포 폐암에서 단클론항체 M30를 이용한 세포자멸사 측정)

  • Kim, Gwang-Il;Lee, Gun;Lim, Chang-Young;Lee, Hyeon-Jae
    • Journal of Chest Surgery
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    • v.40 no.2 s.271
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    • pp.114-121
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    • 2007
  • Background: Apoptosis plays a crucial role in carcinogenesis, as well as in development and tissue homeostasis. Terminal deoxyribonucleotidyl transferase mediated neck end labelling (TUNEL) and in situ nick end labelling (ISEL) have been used to investigate the apoptosis in tissues. Since the introduction of the M30 monoclonal antibody to overcome drawbacks of TUNEL and ISEL, the apoptosis in various tumors, with the exception of pulmonary carcinomas, has been studied. In this study, attempts were made to examine the correlation of apoptosis in non-small cell carcinomas, using both M30 and the expression of p53 protein, with the clinicopathological factors. Material and Method: Forty five patients with surgically resected non-small cell carcinomas were included. Immunohistochemical staining with M30 and p53 monoclonal antibody were peformed, and their expressions compared with the clinicopathological features. The overall survival time and recurrence-free survival time were calculated, and the factors influencing the survival time analyzed using a univariate analysis. The effects of the expression stati of M30 and p53 on the risks of cancer related to both death and recurrence were evaluated using a multivariate analysis. Result: The p53 positive group had many more M30 positive cells than the p53 negative group (p53 positive group; $61.7{\pm}26.8$ cells vs. p53 negative group; $45.6{\pm}29.6$ cells, p=0.005) and significantly more p53 positive patients showing at least 10 positive cells (apoptotic index, $Al{\ge}1$) on M30 staining (p53 positive group; 52.4% (11/21) vs. p53 negative group 16,7% (4/24), p=0.025). In the univariate analysis, the survival times in relation to smoking (pack-year), performance status (PS) and Al showed significant differences. The multivariate analysis demonstrated the relative risk (R.R) of cancer death increased almost 7.5-fold (R.R 7.482; 95% Cl $1.886{\sim}29.678$; p=0.004) and the risk of recurrence almost 3,8-fold (R.R 3.795; 95% Cl: $1.184{\sim}12.158$; p=0.025) in the high Al (${\ge}1$) compared to the low Al (<1) group. There was no prognostic effect of p53 expression on the survival time or risk of cancer death and recurrence. Conclusion: In non-small cell lung carcinomas, M30 immunohistochemistry was an excellent method for analyzing apoptosis; the high apoptotic index could be an adverse prognostic predictive factor.

Financial Market Prediction and Improving the Performance Based on Large-scale Exogenous Variables and Deep Neural Networks (대규모 외생 변수 및 Deep Neural Network 기반 금융 시장 예측 및 성능 향상)

  • Cheon, Sung Gil;Lee, Ju Hong;Choi, Bum Ghi;Song, Jae Won
    • Smart Media Journal
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    • v.9 no.4
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    • pp.26-35
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    • 2020
  • Attempts to predict future stock prices have been studied steadily since the past. However, unlike general time-series data, financial time-series data has various obstacles to making predictions such as non-stationarity, long-term dependence, and non-linearity. In addition, variables of a wide range of data have limitations in the selection by humans, and the model should be able to automatically extract variables well. In this paper, we propose a 'sliding time step normalization' method that can normalize non-stationary data and LSTM autoencoder to compress variables from all variables. and 'moving transfer learning', which divides periods and performs transfer learning. In addition, the experiment shows that the performance is superior when using as many variables as possible through the neural network rather than using only 100 major financial variables and by using 'sliding time step normalization' to normalize the non-stationarity of data in all sections, it is shown to be effective in improving performance. 'moving transfer learning' shows that it is effective in improving the performance in long test intervals by evaluating the performance of the model and performing transfer learning in the test interval for each step.

Risk factors for postoperative nausea and vomiting in patients of orthognathic surgery according to the initial onset time: a cross-sectional study

  • Emi Ishikawa;Takayuki Hojo;Makiko Shibuya;Takahito Teshirogi;Keiji Hashimoto;Yukifumi Kimura;Toshiaki Fujisawa
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.23 no.1
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    • pp.29-37
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    • 2023
  • Background: A high incidence (40-73%) of postoperative nausea and vomiting (PONV) has been reported following orthognathic surgery, and various risk factors have been associated with it. Identifying PONV risk factors based on initial onset time will help establish preventive measures. This study aimed to identify factors that are significantly related to PONV based on the initial onset time after orthognathic surgery. Methods: This study included 590 patients who underwent orthognathic surgery. Multivariate logistic regression analysis was performed to identify the risk factors that are significantly related to PONV. The objective variables were classified into three categories: no PONV, early PONV (initial onset time: 0-2 h after anesthesia), and late PONV (initial onset time: 2-24 h after anesthesia). The explanatory variables included relevant risk factors for PONV, as considered in previous studies. Results: Total intravenous anesthesia with propofol was a significant depressant factor for early PONV (adjusted odds ratio [aOR] = 0.340, 95% confidence interval [CI] = 0.209-0.555) and late PONV (aOR = 0.535, 95% CI = 0.352-0.814). The administration of a combination of intraoperative antiemetics (vs. no administration) significantly reduced the risk of early PONV (aOR = 0.464, 95% CI = 0.230-0.961). Female sex and young age were significant risk factors for late PONV (aOR = 1.492, 95% CI = 1.170-1.925 and unit aOR = 1.033, 95% CI = 1.010-1.057, respectively). Conclusion: We identified factors that are significantly related to PONV based on the initial onset time after orthognathic surgery. Total intravenous anesthesia with propofol significantly reduced the risk of PONV not only in the early period (0-2 h after anesthesia) but also in the late period (2-24 h after anesthesia).

Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study

  • Jeong Hoon Lee;Ki Hwan Kim;Eun Hye Lee;Jong Seok Ahn;Jung Kyu Ryu;Young Mi Park;Gi Won Shin;Young Joong Kim;Hye Young Choi
    • Korean Journal of Radiology
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    • v.23 no.5
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    • pp.505-516
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    • 2022
  • Objective: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammography can improve the performance and time efficiency of radiologists reading mammograms. Materials and Methods: A commercial deep learning-based software for mammography was validated using external data collected from 200 patients, 100 each with and without breast cancer (40 with benign lesions and 60 without lesions) from one hospital. Ten readers, including five breast specialist radiologists (BSRs) and five general radiologists (GRs), assessed all mammography images using a seven-point scale to rate the likelihood of malignancy in two sessions, with and without the aid of the AI-based software, and the reading time was automatically recorded using a web-based reporting system. Two reading sessions were conducted with a two-month washout period in between. Differences in the area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and reading time between reading with and without AI were analyzed, accounting for data clustering by readers when indicated. Results: The AUROC of the AI alone, BSR (average across five readers), and GR (average across five readers) groups was 0.915 (95% confidence interval, 0.876-0.954), 0.813 (0.756-0.870), and 0.684 (0.616-0.752), respectively. With AI assistance, the AUROC significantly increased to 0.884 (0.840-0.928) and 0.833 (0.779-0.887) in the BSR and GR groups, respectively (p = 0.007 and p < 0.001, respectively). Sensitivity was improved by AI assistance in both groups (74.6% vs. 88.6% in BSR, p < 0.001; 52.1% vs. 79.4% in GR, p < 0.001), but the specificity did not differ significantly (66.6% vs. 66.4% in BSR, p = 0.238; 70.8% vs. 70.0% in GR, p = 0.689). The average reading time pooled across readers was significantly decreased by AI assistance for BSRs (82.73 vs. 73.04 seconds, p < 0.001) but increased in GRs (35.44 vs. 42.52 seconds, p < 0.001). Conclusion: AI-based software improved the performance of radiologists regardless of their experience and affected the reading time.

Helicobacter pylori and Pancreatic Cancer Risk: a Meta-analysis Based on 2,049 Cases and 2,861 Controls

  • Wang, Yin;Zhang, Fu-Cheng;Wang, Yao-Jun
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.11
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    • pp.4449-4454
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    • 2014
  • Aim: Helicobacter pylori (H. pylori) have been considered as a risk factor for many cancers. We conducted this meta-analysis to clarify the association between H. pylori infection and the risk of pancreatic cancer. Methods: We searched the Medicine/Pubmed and Embase databases, studies about the association between H. pylori infection and pancreatic cancer published up to Jan.2014 were included. Finally, a total of 9 studies were used for this a meta-analysis. The odds ratios (ORs) and 95% confidence interval (95%CI) of H. pylori infection on pancreatic cancer with respect to control groups were evaluated. Two authors independently assessed the methodological quality and extracted data. This meta-analysis was conducted using software, state (version 12.0) to investigate heterogeneity among individual studies and to summarize the studies. Using the fixed-effects or random-effects model, depending on the absence or presence of significant heterogeneity. Sensitivity analysis was performed to assess the influence of each individual study on the pooled ORs by omitting a single study each time. Publication bias was evaluated by funnel plot, using Egger's and Begg's tests. Results: There was no significant association between H. pylori infection and pancreatic cancer risk in the summary ORs,(OR=1.06, 95%CI: 0.74-1.37) through the random-effect method, but heterogeneity among studies was significant ($I^2$=58.9%), so we put the studies into two subgraphs (eastern and western). The results about western (OR=1.14 95%CI:0.89, 1.40) showed heterogeneity among the western countries of $I^2$=6.6%, with no significant association between Hp+ and pancreatic cancer, but the eastern countries (OR=0.62, 95%CI:0.49, 0.76), $I^2$=0, suggested that decreasing pancreas-cancer risk in subjects with Hp+ infection. Simultaneously, 7 studies examined CagA+ strains was (OR=0.84 95%CI:0.63, 1.04), $I^2$=36% with the random-effect method, subgraphs indicated that CagA+ could decrease the risk of pancreatic cancer in the eastern subjects (OR=0.66, 95%CI:0.52-0.80), but the association was not statistically significant in the western subjects (OR=0.95, 95%CI:0.73, 1.16). Conclusion: Hp+ and CagA+ infection are associated with a decreased risk of pancreatic cancer in eastern populations but have no significant associations in western countries.