• Title/Summary/Keyword: Alternative methods

Search Result 3,820, Processing Time 0.028 seconds

Comparison of Dry Medium Culture Plates for Mesophilic Aerobic Bacteria in Milk, Ice Cream, Ham, and Codfish Fillet Products

  • Park, Junghyun;Kim, Myunghee
    • Preventive Nutrition and Food Science
    • /
    • v.18 no.4
    • /
    • pp.269-272
    • /
    • 2013
  • This study was performed to compare the performance of Sanita-Kun dry medium culture plate with those of traditional culture medium and Petrifilm dry medium culture plate for the enumeration of the mesophilic aerobic bacteria in milk, ice cream, ham, and codfish fillet. Mesophilic aerobic bacteria were comparatively evaluated in milk, ice cream, ham, and codfish fillet using Sanita-Kun aerobic count (SAC), Petrifilm aerobic count (PAC), and traditional plate count agar (PCA) media. According to the results, all methods showed high correlations of 0.989~1.000 and no significant differences were observed for enumerating the mesophilic aerobic bacteria in the tested food products. SAC method was easier to perform and count colonies efficiently as compared to the PCA and PAC methods. Therefore, we concluded that the SAC method offers an acceptable alternative to the PCA and PAC methods for counting the mesophilic aerobic bacteria in milk, ice cream, ham, and codfish fillet products.

Comparison of EM and Multiple Imputation Methods with Traditional Methods in Monotone Missing Pattern

  • Kang, Shin-Soo
    • Journal of the Korean Data and Information Science Society
    • /
    • v.16 no.1
    • /
    • pp.95-106
    • /
    • 2005
  • Complete-case analysis is easy to carry out and it may be fine with small amount of missing data. However, this method is not recommended in general because the estimates are usually biased and not efficient. There are numerous alternatives to complete-case analysis. A natural alternative procedure is available-case analysis. Available-case analysis uses all cases that contain the variables required for a specific task. The EM algorithm is a general approach for computing maximum likelihood estimates of parameters from incomplete data. These methods and multiple imputation(MI) are reviewed and the performances are compared by simulation studies in monotone missing pattern.

  • PDF

Experimental and analytical behaviour of composite slabs

  • Lopes, Emanuel;Simoes, Rui
    • Steel and Composite Structures
    • /
    • v.8 no.5
    • /
    • pp.361-388
    • /
    • 2008
  • The Eurocode 4 presents some negative aspects in the design of composite slabs by the m-k Method or the Partial Connection Method. On one hand, the component chemical adherence is not accounted for in the connection between the profiled steel sheet and the concrete. On the other hand, the application of these methods requires some fitting parameters that must be determined by full scale tests. In this paper, the Eurocode 4 methods are compared with a method developed at the Federal Polytechnic School of Lausanne, based on pullout tests, which can be a valid alternative. Hence, in order to calculate the necessary parameters for the three methods, several tests have been performed such as the full scale test described in Eurocode 4 and pull-out tests. This last type of tests is of small dimensions and implicates lower costs. Finally, a full-scale test of a steel-concrete composite slab with a generic loading is presented, with the goal of verifying the analytical formulation.

Comparison of Alternative knowledge Acquisition Methods for Allergic Rhinitis

  • Chae, Young-Moon;Chung, Seung-Kyu;Suh, Jae-Gwon;Ho, Seung-Hee;Park, In-Yong
    • Journal of Intelligence and Information Systems
    • /
    • v.1 no.1
    • /
    • pp.91-109
    • /
    • 1995
  • This paper compared four knowledge acquisition methods (namely, neural network, case-based reasoning, discriminant analysis, and covariance structure modeling) for allergic rhinitis. The data were collected from 444 patients with suspected allergic rhinitis who visited the Otorlaryngology Deduring 1991-1993. Among four knowledge acquisition methods, the discriminant model had the best overall diagnostic capability (78%) and the neural network had slightly lower rate(76%). This may be explained by the fact that neural network is essentially non-linear discriminant model. The discriminant model was also most accurate in predicting allergic rhinitis (88%). On the other hand, the CSM had the lowest overall accuracy rate (44%) perhaps due to smaller input data set. However, it was most accuate in predicting non-allergic rhinitis (82%).

  • PDF

Concepts of Integrative Medicine and its Relationship with TKM (Traditional Korean Medicine) (통합의학의 개념 및 한의학과의 관계)

  • Lee, Tae-Hyung;Kim, Nam-Il
    • Korean Journal of Oriental Medicine
    • /
    • v.17 no.3
    • /
    • pp.35-42
    • /
    • 2011
  • Objectives : The terms, CAM and Integrative Medicine, have been often used to conceptualize relation between TKM and western medicine in Korea. But both terms often lead to confusion since the backgrounds of those were not being properly discussed. Methods : We researched the concepts of CAM and Integrative Medicine through the changes in definitions and research methods. Results : Although modern medical verification of CAM showed some results through scientific researches, there existed certain limitations. The term Integrative Medicine newly emerged for this reason. The rise of the new term came to criticize existing research methodologies such as RCTs or SRs. However in Korea, Integrative Medicine has often been misunderstood as a unification of two different medical systems. Conclusions : Thus, in future research of relationship between TKM and western medicine, debates on plausibility & philosophical background of TKM, and research methodology are indispensable.

"Mathematising learning and teaching methods" using dynamic software in geometry (탐구형 소프트웨어를 활용한 기하영역의 수학화 교수학습 방법)

  • 정보나;류희찬;조완영
    • Journal of Educational Research in Mathematics
    • /
    • v.12 no.4
    • /
    • pp.543-556
    • /
    • 2002
  • The purpose of this study is to find a method to improve geometry instruction. For this purpose, I have investigated aims and problems of geometry education. I also reviewed related literature about discovery methods as well as verification. Through this review, “Mathematising teaching and learning methods” by Freudenthal is Presented as an alternative to geometry instruction. I investigated the capability of dynamic software for realization of this method. The result of this investigation is that dynamic software is a powerful tool in realizing this method. At last, I present one example of mathematic activity using dynamic software that can be used by school teachers.

  • PDF

A Comparison of the Immediate Effects of Alternate Methods to Medication in Lowering the Blood Pressure in Prehypertensive Patients

  • Moon, Hyun-Ju;Cho, Sung-Hak
    • The Journal of Korean Physical Therapy
    • /
    • v.28 no.3
    • /
    • pp.201-204
    • /
    • 2016
  • Purpose: The purpose of this study was to compare the immediate effects of alternative treatment methods in lowering the blood pressure and pulse of prehypertensive patients. Methods: A total of 48 prehypertensive patients were randomly divided into 4 groups of 12 patients and each group received a different intervention. The control group was made to rest, the heat pack (HP) group received heat pack treatment, the ultrasound (US) group received an ultrasound massage, and the myofascial release (MFR) group received myofascial release. The blood pressure and pulse rate were measured before and after intervention. Results: Following intervention, the patients of the MFR group showed a decrease in systolic pressure, diastolic pressure, and pulse rate. Although blood pressure was similar in all groups, a significant decrease in pulse rate was seen in the MFR group compared to others. Conclusion: The application of MFR was shown to be an effective method for lowering the blood pressure and pulse rate in prehypertensive patients.

Hybrid parallel smooth particle hydrodynamic for probabilistic tsunami risk assessment and inland inundation

  • Sihombing, Fritz;Torbol, Marco
    • Smart Structures and Systems
    • /
    • v.23 no.2
    • /
    • pp.185-194
    • /
    • 2019
  • The probabilistic tsunami risk assessment of large coastal areas is challenging because the inland propagation of a tsunami wave requires an accurate numerical model that takes into account the interaction between the ground, the infrastructures, and the wave itself. Classic mesh-based methods face many challenges in the propagation of a tsunami wave inland due to their ever-moving boundary conditions. In alternative, mesh-less based methods can be used, but they require too much computational power in the far-field. This study proposes a hybrid approach. A mesh-based method propagates the tsunami wave from the far-field to the near-field, where the influence of the sea floor is negligible, and a mesh-less based method, smooth particle hydrodynamic, propagates the wave onto the coast and inland, and takes into account the wave structure interaction. Nowadays, this can be done because the advent of general purpose GPUs made mesh-less methods computationally affordable. The method is used to simulate the inland propagation of the 2004 Indian Ocean tsunami off the coast of Indonesia.

A guideline for the statistical analysis of compositional data in immunology

  • Yoo, Jinkyung;Sun, Zequn;Greenacre, Michael;Ma, Qin;Chung, Dongjun;Kim, Young Min
    • Communications for Statistical Applications and Methods
    • /
    • v.29 no.4
    • /
    • pp.453-469
    • /
    • 2022
  • The study of immune cellular composition has been of great scientific interest in immunology because of the generation of multiple large-scale data. From the statistical point of view, such immune cellular data should be treated as compositional. In compositional data, each element is positive, and all the elements sum to a constant, which can be set to one in general. Standard statistical methods are not directly applicable for the analysis of compositional data because they do not appropriately handle correlations between the compositional elements. In this paper, we review statistical methods for compositional data analysis and illustrate them in the context of immunology. Specifically, we focus on regression analyses using log-ratio transformations and the alternative approach using Dirichlet regression analysis, discuss their theoretical foundations, and illustrate their applications with immune cellular fraction data generated from colorectal cancer patients.

Reprocessing of spent nuclear fuel in carbonate media: Problems, achievements, and prospects

  • Stepanov, Sergei I.;Boyarintsev, Alexander V.
    • Nuclear Engineering and Technology
    • /
    • v.54 no.7
    • /
    • pp.2339-2358
    • /
    • 2022
  • The review discusses various alternative approaches for spent nuclear fuel (SNF) reprocessing in aqueous carbonate media. The main stages, schemes, and methods of the most well-known and well-described processes for reprocessing SNF and some high-level radioactive waste using carbonate systems developed by research groups in Japan, the United States of America, the Republic of Korea, and the Russian Federation described and compared. The main advantages of such methods are outlined compared to the SNF reprocessing in nitric acid media. The levels of development and proximity of the designed processes to the industrial implementation are shown. The main principle achievements, prospects, and routes for the refinement of such methods for the technology of SNF reprocessing and handling of high-level radioactive waste formulated.