scholarly journals A new approach to predict the fish fillet shelf-life in presence of natural preservative agents

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Alessandro Giufffrida ◽  
Filippo Giarratana ◽  
Davide Valenti ◽  
Daniele Muscolino ◽  
Roberta Parisi ◽  
...  
Keyword(s):  
Growth Rate ◽  
Shelf Life ◽  
Predictive Model ◽  
Antibacterial Effect ◽  
Data Sets ◽  
Fish Fillet ◽  
New Approach ◽  
Natural Preservative ◽  
Primary Model

Three data sets concerning the behaviour of spoilage flora of fillets treated with natural preservative substances (NPS) were used to construct a new kind of mathematical predictive model. This model, unlike other ones, allows expressing the antibacterial effect of the NPS separately from the prediction of the growth rate. This approach, based on the introduction of a parameter into the predictive primary model, produced a good fitting of observed data and allowed characterising quantitatively the increase of shelf-life of fillets.

Development and validation of a one-step modelling approach for the determination of chicken meat shelf-life based on the growth kinetics of Pseudomonas spp

2021 ◽  
pp. 108201322110496
Author(s):  
Fatih Tarlak ◽  
Fernando Pérez-Rodríguez
Keyword(s):  
Growth Rate ◽  
Shelf Life ◽  
Storage Temperature ◽  
Chicken Meat ◽  
Pseudomonas Spp ◽  
Primary Model ◽  
One Step ◽  
The One ◽  
Modelling Approach ◽  
Modelling Approaches

The main objective of the present study was to investigate the effect of storage temperature on aerobically stored chicken meat spoilage using the two-step and one-step modelling approaches involving different primary models namely the modified Gompertz, logistic, Baranyi and Huang models. For this purpose, growth data points of Pseudomonas spp. were collected from published studies conducted in aerobically stored chicken meat product. Temperature-dependent kinetic parameters (maximum specific growth rate ‘µ max’ and lag phase duration ‘ λ’) were described as a function of storage temperature through the Ratkowsky model based on the different primary models. Then, the fitting capability of both modelling approaches was compared taking into account root mean square error, adjusted coefficient of determination (adjusted-R2) and corrected Akaike information criterion. The one-step modelling approach showed considerably improved fitting capability regardless of the used primary model. Finally, models developed from the one-step modelling approach were validated for the maximum growth rate data extracted from independent published literature using the statistical indexes Bias (Bf) and Accuracy (Af) factors. The best prediction capability was obtained for the Baranyi model with Bf and Af being very close to 1. The shelf-life of chicken meat as a function of storage temperature was predicted using both modelling approaches for the Baranyi model.

Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach

2021 ◽  
pp. 000276422110216
Author(s):  
Kazimierz M. Slomczynski ◽  
Irina Tomescu-Dubrow ◽  
Ilona Wysmulek
Keyword(s):  
Data Processing ◽  
Data Quality ◽  
Survey Data ◽  
A Priori ◽  
Data Sets ◽  
New Approach ◽  
Survey Quality ◽  
Survey Error ◽  
Ex Post ◽  
The Impact

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.

Recent and Planned Developments of the Program OxCal

Radiocarbon ◽  
2013 ◽  
Vol 55 (2) ◽  
pp. 720-730 ◽  
Author(s):  
Christopher Bronk Ramsey ◽  
Sharen Lee
Keyword(s):  
Statistical Analysis ◽  
Statistical Methods ◽  
Software Package ◽  
Model Averaging ◽  
Data Sets ◽  
Radiocarbon Dates ◽  
New Approach ◽  
New Models ◽  
Multiphase Models ◽  
Deposition Models

OxCal is a widely used software package for the calibration of radiocarbon dates and the statistical analysis of 14C and other chronological information. The program aims to make statistical methods easily available to researchers and students working in a range of different disciplines. This paper will look at the recent and planned developments of the package. The recent additions to the statistical methods are primarily aimed at providing more robust models, in particular through model averaging for deposition models and through different multiphase models. The paper will look at how these new models have been implemented and explore the implications for researchers who might benefit from their use. In addition, a new approach to the evaluation of marine reservoir offsets will be presented. As the quantity and complexity of chronological data increase, it is also important to have efficient methods for the visualization of such extensive data sets and methods for the presentation of spatial and geographical data embedded within planned future versions of OxCal will also be discussed.

Quasi-2D inversion of DCR and TDEM data for shallow investigations

Geophysics ◽  
2011 ◽  
Vol 76 (4) ◽  
pp. F239-F250 ◽  
Author(s):  
Fernando A. Monteiro Santos ◽  
Hesham M. El-Kaliouby
Keyword(s):  
Joint Inversion ◽  
Synthetic Data ◽  
Data Sets ◽  
Complex Environments ◽  
Inversion Algorithm ◽  
2D Inversion ◽  
New Approach ◽  
Earth Models ◽  
Time Domain Electromagnetic ◽  
Inversion Techniques

Joint or sequential inversion of direct current resistivity (DCR) and time-domain electromagnetic (TDEM) data commonly are performed for individual soundings assuming layered earth models. DCR and TDEM have different and complementary sensitivity to resistive and conductive structures, making them suitable methods for the application of joint inversion techniques. This potential joint inversion of DCR and TDEM methods has been used by several authors to reduce the ambiguities of the models calculated from each method separately. A new approach for joint inversion of these data sets, based on a laterally constrained algorithm, was found. The method was developed for the interpretation of soundings collected along a line over a 1D or 2D geology. The inversion algorithm was tested on two synthetic data sets, as well as on field data from Saudi Arabia. The results show that the algorithm is efficient and stable in producing quasi-2D models from DCR and TDEM data acquired in relatively complex environments.

scholarly journals Growth of Listeria monocytogenes in Thawed Frozen Foods

2017 ◽  
Vol 80 (3) ◽  
pp. 447-453 ◽  
Author(s):  
Ai Kataoka ◽  
Hua Wang ◽  
Philip H. Elliott ◽  
Richard C. Whiting ◽  
Melinda M. Hayman
Keyword(s):  
Growth Rate ◽  
Listeria Monocytogenes ◽  
Growth Rates ◽  
Storage Temperature ◽  
Growth Parameters ◽  
Quadratic Model ◽  
Lag Phase ◽  
Frozen Foods ◽  
Phase Duration ◽  
Primary Model

ABSTRACT The growth characteristics of Listeria monocytogenes inoculated onto frozen foods (corn, green peas, crabmeat, and shrimp) and thawed by being stored at 4, 8, 12, and 20°C were investigated. The growth parameters, lag-phase duration (LPD) and exponential growth rate (EGR), were determined by using a two-phase linear growth model as a primary model and a square root model for EGR and a quadratic model for LPD as secondary models, based on the growth data. The EGR model predictions were compared with growth rates obtained from the USDA Pathogen Modeling Program, calculated with similar pH, salt percentage, and NaNO2 parameters, at all storage temperatures. The results showed that L. monocytogenes grew well in all food types, with the growth rate increasing with storage temperature. Predicted EGRs for all food types demonstrated the significance of storage temperature and similar growth rates among four food types. The predicted EGRs showed slightly slower rate compared with the values from the U.S. Department of Agriculture Pathogen Modeling Program. LPD could not be accurately predicted, possibly because there were not enough sampling points. These data established by using real food samples demonstrated that L. monocytogenes can initiate growth without a prolonged lag phase even at refrigeration temperature (4°C), and the predictive models derived from this study can be useful for developing proper handling guidelines for thawed frozen foods during production and storage.

scholarly journals EFEKTIVITAS INFUSA DAUN JAMBU BIJI (Psidium guajava) SEBAGAI PRESERVATIF ALAMI PADA KARKAS PUYUH

2021 ◽  
Vol 46 (2) ◽  
pp. 127
Author(s):  
Eulis Tanti Marlina ◽  
Ellin Harlia ◽  
Yuli Astuti Hidayati ◽  
Deden Zamzam Badruzzaman ◽  
Wowon Juanda
Keyword(s):  
Shelf Life ◽  
Experimental Method ◽  
Psidium Guajava ◽  
Antimicrobial Compounds ◽  
Natural Preservative ◽  
Randomized Design ◽  
Completely Randomized Design ◽  
Guava Leaves ◽  
Total Bacteria

Guava leaves can be used as a natural preservative in quail carcass because they contain antimicrobial compounds such as flavonoid and tannin. This study studied the effect of using guava leaves infusion on quail carcass on the total bacteria, Enterobacteriaceae, and early spoilage.  The research used an experimental method with a completely randomized design, 3 treatments of guava leaves infusion concentration, namely P1 = 25%, P2 = 50%. And P3 = 75%, each treatment was repeated 6 times.  The application of infusion to quail carcass was carried out by immersion for 15 minutes.  Data were analyzed using ANOVA and Turkey’s test.  The results showed that the total bacteria and Enterobacteriaceae before immersion were 3.80 x 107 cfu/g and 1.90 x 104 cfu/g, respectively.  Soaking quail carcass in guava leaves infusion was able to reduce the total bacteria and Enterobacteriaceae to 72.15% and 78.50%, respectively.  The early spoilage was inversely proportional to the total bacteria and Enterobacteriaceae resulted in longer shelf life.

A new approach to estimating shelf-life

2004 ◽  
Vol 3 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Andreas Kiermeier ◽  
Richard G. Jarrett ◽  
Arūnas P. Verbyla
Keyword(s):  
Shelf Life ◽  
New Approach

Evaluating the Malaysian economy 2009-2018: growth, development and policies

2020 ◽  
Author(s):  
Irwan Shah Zainal Abidin
Keyword(s):  
Growth Rate ◽  
Financial Crisis ◽  
Prime Minister ◽  
Global Financial Crisis ◽  
High Growth ◽  
Substantial Impact ◽  
New Approach ◽  
Asian Tigers ◽  
New Vision ◽  
National Transformation

Malaysia was once on the cusp of becoming one of the Asian Tigers as a result of the impressively high growth rates recorded in the early 1990s. From 1990 until 1997, the growth rate was above 9 percent per annum on average. This performance came to an end when the economy was struck by the 1997/98 Asian Financial Crisis, the worst economic crisis Malaysia has ever experienced since independence. Things eventually worsened with the onslaught of the 2008/09 Global Financial Crisis, which dragged the Malaysian economy yet into another round of a recession with the growth rate contracting at 1.5 percent in 2009. On hindsight, these two events, which have had a substantial impact on the state of the Malaysian economy, pointed to several urgent calls for economic reforms, such as the need to address structural weaknesses of the economy and to have a growth target which is both sustainable as well as inclusive. When Datuk Seri Najib Razak became the sixth Prime Minister of Malaysia from April 2009 until May 2018, it was clear that a new approach to economic development for Malaysia had to be crafted. Towards this end, he introduced the National Transformation Policy (NTP), so that the economy can be transformed into one that is of high-income and developed status by the year 2020. He also set a new vision for Malaysia, also known as the 2050 National Transformation, or TN50, which is meant to chart a new course for Malaysia to move into the second half of the 21st century. How successful is this transformational agenda? What are the other issues and challenges which need to be addressed? What important lessons can we learn from this transformational journey? This book is an attempt to address these specific questions by assessing Najibs economic plans, policies, programmes and vision which evolved during the nine years of his term as the sixth Prime Minister of Malaysia.

Web Graph Clustering for Displays and Navigation of Cyberspace

Web Mining ◽  
2011 ◽  
pp. 253-275
Author(s):  
Xiaodi Huang ◽  
Wei Lai
Keyword(s):  
Data Mining ◽  
Nearest Neighbor ◽  
Structural Information ◽  
Graph Clustering ◽  
Data Sets ◽  
K Nearest Neighbor ◽  
New Approach ◽  
Web Graph

This chapter presents a new approach to clustering graphs, and applies it to Web graph display and navigation. The proposed approach takes advantage of the linkage patterns of graphs, and utilizes an affinity function in conjunction with the k-nearest neighbor. This chapter uses Web graph clustering as an illustrative example, and offers a potentially more applicable method to mine structural information from data sets, with the hope of informing readers of another aspect of data mining and its applications.

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