• Title/Summary/Keyword: response factors

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Electrospun polyamide thin film composite forward osmosis membrane: Influencing factors affecting structural parameter

  • Ghadiri, Leila;Bozorg, Ali;Shakeri, Alireza
    • Membrane and Water Treatment
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    • v.10 no.6
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    • pp.417-429
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    • 2019
  • Poly Sulfone nanofibers were electrospun to fabricate membranes of different characteristics. To fabricate the fiber mats, polymer concentration, flowrate, and current density were determined as the most influencing factors affecting the overall performance of the membranes and studied through Response Surface Methodology. The Box-Behnken Design method (three factors at three levels) was used to design, analyze, and optimize the parameters to achieve the best possible performance of the electrospun membranes in forward osmosis process. Also, internal concentration polarization that characterizes the efficiency of the forward osmosis membranes was determined to better assess the overall performance of the fabricated electrospun membranes. Water flux to reverse salt flux was considered as the main response to assess the performance of the membranes. As confirmed experimentally, best membrane performance with the minimal structural parameter value could be achieved when predicted optimal values were used to fabricate the membranes through electrospinning process.

Hypothesis Proposal about Predictive Factors and Optimal Age for Response to Herbal Medicine Treatment for Height Gain in Children: a Retrospective Review

  • Leem, Jungtae;Kim, Jeeyeun;Suh, Kyeungsuk;Lim, Youngkwern;Lee, Junhee
    • The Journal of Korean Medicine
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    • v.39 no.4
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    • pp.16-29
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    • 2018
  • Introduction: We aimed to investigate the predictive factors and optimal age for response to herbal medicine treatment for height gain in children. Methods: This retrospective chart review included 61 children (age range, 5-16 years) treated for height gain between 2011 and 2015. A predictive model was established by multiple linear regression analysis. Dependent variables were defined by the differences in percentile before and after herbal medicine treatment. The optimal cutoff value of patient age was determined by receiver operating curve analysis. Results : The age of initiation of herbal medicine therapy (p = 0.012) and administration of Forsythiae fructus (p = 0.002) were significant variables for treatment response. The adjusted R2 value was 0.231. The mean ages of the responder and non-responder groups were significantly different (p = 0.023). The optimal cutoff value of age for predicting treatment response was 9.75 years. Treatment response was better among children below 9.75 years of age. Conclusions: Patient age and administration of Forsythiae fructus were identified as determinants of response to herbal medicine treatment. Treatment of rhinitis and initiation of height gain treatment at an early age are critical for better response. These findings will provide fundamental data for further research.

Performance Evaluation of Smart Intersections for Emergency Response Time based on Integration of Geospatial and Incident Data

  • Oh, Heung Jin;Ashuri, Baabak
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.945-951
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    • 2022
  • The major objective of this research is to evaluate performance of improved intersections for response time to emergency vehicle preemption. Smart technologies have been introduced to civil infrastructure systems for resilient communities. The technologies need to evaluate their effectiveness and feasibility to confirm their introduction. This research focuses on the performance of emergency vehicle preemption, represented by response time, when smart intersections are introduced in a community. The response time is determined by not only intersections but also a number of factors such as traffic, distance, road conditions, and incident types. However, the evaluation of emergency response has often ignored factors related to emergency vehicle routes. In this respect, this research synthetically analyzes geospatial and incident data using each route of emergency vehicle and conducts before-and-after evaluations. The changes in performance are analyzed by the impact of smart intersections on response time through Bayesian regression models. The result provides measures of the project's performance. This study will contribute to the body of knowledge on modeling the impacts of technology application and integrating heterogeneous data sets. It will provide a way to confirm and prove the effectiveness of introducing smart technologies to our communities.

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Development of Impact Factor Response Spectrum with Tri-Axle Moving Loads and Investigation of Response Factor of Middle-Small Size-RC Slab Aged Bridges (3축 이동하중을 고려한 충격계수 응답스펙트럼 개발 및 중소규모 RC 슬래브 노후교량 응답계수 분석)

  • Kim, Taehyeon;Hong, Sanghyun;Park, Kyung-Hoon;Roh, Hwasung
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.2
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    • pp.67-74
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    • 2019
  • In this paper the response factor is investigated for middle and small size-RC slab aged bridges. The response factor consists of static and dynamic response factors and is a main parameter in the frequency based-bridge load carrying capacity prediction model. Static and dynamic response factors are determined based on the frequency variation and the impact factor variation respectively between current and previous (or design) states of bridges. Here, the impact factor variation is figured out using the impact factor response spectrum which provides the impact factor according to the natural frequency of bridges. In this study, four actual RC slab bridges aged over 30 years after construction are considered and their span length is 12m. The dynamic loading test in field using a dump truck and eigenvalue analysis with FE models are conducted to identify the current and previous (or design) state-natural frequencies of the bridges, respectively. For more realistic considerations in the moving loading situation, the impact factor response spectrum is developed based on tri-axle moving loads representing the dump truck load distribution and various supporting conditions such as simply supported and both ends fixed conditions. From the results, the response factor is widely ranged from 0.21to 0.91, showing that the static response factor contributes significantly on the results while the dynamic response factor has a small effect on the result. Compared to the results obtained from the impact factor response spectrum based on the single axle-simply supported condition, the maximum percentage difference of the response factors is below 3.2% only.

The Effects of Demographic Factors on Fashion Orientation, Fashion Response, and Buying Criteria(paper no.1)

  • Koo, In-Sook
    • Journal of Fashion Business
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    • v.15 no.3
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    • pp.1-21
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    • 2011
  • This study is designed to identify how Demographic Factors affect Fashion Orientation(value), Fashion Response, and Buying Criteria. A total of 355 usable data was collected from housewives in three metropolitan cities(Seoul, Daejeon, Sungnam) in Korea. Young housewives who have one child are a market segment whose buying power is recognized by both the retailers and the market. The housewives' fashion orientation consists of four categories : social orientation, practical orientation, political orientation, and aesthetic orientation. The housewives' fashion response is classified into three areas : self conscious, self esteem, and self monitoring. The criteria of buying children's wear consists of nine components. As a result, the key reason for buying children' wear was 'attractive design'. Research result showed that POLITICAL ORIENTATION(SE beta=.229, p<.001) was more effective than AESTHETICS ORIENTATION(SE beta=.203, p<.001), for enhancing SELF-CONSCIOUS RESPONSE and SELF-ESTEEM RESPONSE. Therefore, this study suggests that the key factor for understanding trend can be a human self concept, consciousness, values, and orientation. The housewives' fashion orientation is responsible for 18.7% of BRAND ROYALTY(F = 20.172, p<.001) from among nine buying criteria. More poignantly, POLITICAL ORIENTATION covered 66.9% of selection of BRAND ROYALTY, and it explained 34.6% of selection of DESIGN among nine buying criteria. Thus, it showed that POLITICAL ORIENTATION(SE beta=.331, p<.001) is more effective than SOCIAL ORIENTATION(SE beta=.146), for upgrading BRAND ROYALTY. In addition, it showed that POLITICAL ORIENTATION(SE beta=.238, p<.001) is more effective than AESTHETICS ORIENTATION(SE beta=.040) for upgrading DESIGN evaluation. Housewives' fashion orientation, and fashion response are differentiated by demographic factors, such as occupation, women's career, husband' job, income, and location related to social status.

Development of Stress-tolerant Crop Plants

  • CHOI Hyung-in;KANG Jung-youn;SOHN Hee-kyung;KIM Soo-Young
    • Proceedings of the Korean Society of Plant Biotechnology Conference
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    • 2002.04a
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    • pp.41-47
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    • 2002
  • Adverse environmental conditions such as drought, high salt and cold/freezing are major factors that reduces crop productivity worldwide. According to a survey, $50-80\%$ of the maximum potential yield is lost by these 'environmental or abiotic stresses', which is approximately ten times higher than the loss by biotic stresses. Thus, Improving stress-tolerance of crop plants is an important way to improve agricultural productivity. In order to develop such stress-tolerant crop plants, we set out to identify key stress signaling components that can be used to develop commercially viable crop varieties with enhanced stress tolerance. Our primary focus so far has been on the identification of transcription factors that regulate stress responsive gene expression, especially those involved in ABA-mediated stress response. Be sessile, plants have the unique capability to adapt themselves to the abiotic stresses. This adaptive capability is largely dependent on the plant hormone abscisic acid (ABA), whose level increases under various stress conditions, triggering adaptive response. Central to the response is ABA-regulated gene expression, which ultimately leads to physiological changes at the whole plant level. Thus, once identified, it would be possible to enhance stress tolerance of crop plants by manipulating the expression of the factors that mediate ABA-dependent stress response. Here, we present our work on the isolation and functional characterization of the transcription factors.

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Optimal Design of Interior Permanent Magnet Synchronous Machines Consideration of Magnet BH Characteristic with Different Rotor Type using Response Surface Methodology (반응표면분석법을 이용한 영구자석의 형상 및 특성에 따른 매입형 영구자석 동기기의 최적 설계)

  • Im, Young-Hun;Jang, Seok-Myoung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.8
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    • pp.1080-1089
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    • 2013
  • Interior Permanent Magnet Synchronous Machines (IPMSMs) with rare earth magnet are widely used in electric vehicles and hybrid electric vehicles. IPMSMs having high efficiency, high torque, and a wide speed range are employed in propulsion system. And the rotor in an IPMSM is generally made of a rare earth magnet to achieve a large energy product and high torque. This paper discusses issues regarding design and performance of IPMSMs using different factors of BH magnetic characteristic. It is necessary to choose factors of magnetic material according to permanent magnet shape in rotor for high performance. Response Surface Methodology (RSM) is selected to obtain factors of magnetic material according to variety of rotor shapes. The RSM is a collection of mathematical and statistical techniques useful for the analysis of problems in which a response of interest in influenced by several variables and the objective is to optimize response. Therefore, it is necessary to analyze the torque characteristics of an IPMSM having magnet BH hysteresis curve with different rotor shape. Factors of residual flux density (Br) factor and intrinsic coercive force (Hc) are important parameters in RSM for rotor shape. The rotor shapes for IPMSMs having magnet BH characteristic were investigated using the RSM, and three shapes were analyzed in detail using FEA. The results lead to design consequence of IPMSMs in the various rare earth magnet materials.

Development of Stress-tolerant Crop Plants

  • Choi, Hyung-In;Kang, Jung-Youn;Sohn, Hee-Kyung;Kim, Soo-Young
    • Proceedings of the Korean Society of Plant Biotechnology Conference
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    • 2002.04b
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    • pp.41-47
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    • 2002
  • Adverse environmental conditions such as drought, high salt and cold/freezing are major factors that reduces crop productivity worldwide. According to a survey, 50-80% of the maximum potential yield is lost by these 'environmental or abiotic stresses', which is approximately ten times higher than the loss by biotic stresses. Thus, improving stress-tolerance of crop plants is an important way to improve agricultural productivity. In order to develop such stress-tolerant crop plants, we set out to identify key stress signaling components that can be used to develop commercially viable crop varieties with enhanced stress tolerance. Our primary focus so far has been on the identification of transcription factors that regulate stress responsive gene expression, especially those involved in ABA-mediated stress response. Be sessile, plants have the unique capability to adapt themselves to the abiotic stresses. This adaptive capability is largely dependent on the plant hormone abscisic acid (ABA), whose level increases under various stress conditions, triggering adaptive response. Central to the response is ABA-regulated gene expression, which ultimately leads to physiological changes at the whole plant level. Thus, once identified, it would be possible to enhance stress tolerance of crop plants by manipulating the expression of the factors that mediate ABA-dependent stress response. Here, we present our work on the isolation and functional characterization of the transcription factors.

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Prognostic factors in Osteosarcoma (골육종의 예후인자)

  • Jeon, Dae-Geun;Lee, Jong-Seok;Kim, Sug-Jun;Yang, Hyun-Seok;Lee, Soo-Yong
    • The Journal of the Korean bone and joint tumor society
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    • v.3 no.1
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    • pp.1-8
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    • 1997
  • Osteosarcoma is the most common primary bony malignancy and its survivorship has been progressed markedly through refined chemotherapy and surgery. But still there are many non-responders and analysis of prognostic factors may be helpful for them. Two hundred and sixty-six patients were enlisted between Mar, 1985 and Sep. 1994. Among them our inclusion criteria were: 1)primary, nonmetastatic classical osteosarcoma 2)extremity in location 3)no prior treatment at other institute and completed neoadjuvant chemotherapy and surgery according to our protocol. One hundred and eleven cases were eligible. Analyzed factors were:age, sex, location, tumor size, and pathologic response. Statistical methods were log-rank test for univariate and Cox's test for multivariate analysis. Male to female ratio was 69:42 with an average age of 17.2 years. Locations of tumor were distal femur 59, proximal tibia 29, and proximal humerus 8. Tumor size were measured by its maximal diameter and 48 cases were above 10cm and 47 cases were below 10cm. For pathologic response, 57 cases showed more than 90% and 54 cases were less than that. Limb salvage procedure was 101 cases and amputation was 10 cases and their local recurrence rate were 3.6%. Average follow-up period was 24(9-78.2) months and their final status was CDF 86, AWD 8, NED 5, and DOD 12 cases. In univariate study: type of operation(p=0.005), tumor size(p=0.005), and pathologic response(p=0.02) were significant variables. Pathologic response(p=0.03) and type of operation(p=0.01) were meaningful prognostic factors on multivariate analysis. But the latter result was interpreted as a bias, so pathologic response remained as a sole meaningful prognostic factor. More aggressive chemotherapy will be needed to improve the survival.

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Predictors of Outcome in Patients with Advanced Nonseminomatous Germ Cell Testicular Tumors

  • Yetisyigit, Tarkan;Babacan, Nalan;Urun, Yuksel;Seber, Erdogan Selcuk;Cihan, Sener;Arpaci, Erkan;Yildirim, Nuriye;Aksoy, Sercan;Budakoglu, Burcin;Zengin, Nurullah;Oksuzoglu, Berna;Yalcin, Banu Cicek;Alkis, Necati
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.831-835
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    • 2014
  • Background: Predictor factors determining complete response to treatment are still not clearly defined. We aimed to evaluate clinicopathological features, risk factors, treatment responses, and survival analysis of patient with advanced nonseminomatous GCTs (NSGCTs). Materials and Methods: Between November 1999 and September 2011, 140 patients with stage II and III NSGCTs were referred to our institutions and 125 patients with complete clinical data were included in this retrospective study. Four cycles of BEP regimen were applied as a first-line treatment. Salvage chemotherapy and/or high-dose chemotherapy (HDCT) with autologous stem cell transplantation were given in patients who progressed after BEP chemotherapy. Post-chemotherapy surgery was performed in selected patients with incomplete radiographic response and normal tumor markers. Results: The median age was 28 years. For the good, intermediate and poor risk groups, compete response rates (CRR) were, 84.6%, 67.9% and 59.4%, respectively. Extragonadal tumors, stage 3 disease, intermediate and poor risk factors, rete testis invasion were associated with worse outcomes. There were 32 patients (25.6%) with non-CR who were treated with salvage treatment. Thirty-one patients died from GCTs and 94% of them had stage III disease. Conclusions: Even though response rates are high, some patients with GCTs still need salvage treatment and cure cannot be achieved. Non-complete response to platinium-based first-line treatment is a negative prognostic factor. Our study confirmed the need for a prognostic and predictive model and more effective salvage approaches.