Article
Chemistry, Applied
Duygu Ozer Genis, Banu Sezer, Sahin Durna, Ismail Hakki Boyaci
Summary: In this study, Raman spectroscopy was used to identify the origins of fats in margarine, corn, and palm oils in cheese samples, as well as detect potential adulteration.
Article
Food Science & Technology
Anita Nkansah Agyare, Qi Liang
Summary: The study found that yak MFGM and butter are rich in important nutrients, playing significant roles in anticancer, anti-obesity, and neurodevelopment. They can be used as functional food ingredients in supplement and infant food development.
JOURNAL OF FUNCTIONAL FOODS
(2021)
Article
Agriculture, Dairy & Animal Science
Huaixiang Tian, Shuang Chen, Dan Li, Xinman Lou, Chen Chen, Haiyan Yu
Summary: In this study, Raman spectroscopy combined with chemometrics was successfully used for rapid on-site identification and quantification of common adulterants in raw milk. The method of Raman spectroscopy combined with PLS-DA and PLS model can accurately detect maltodextrin, sodium carbonate, and whey adulteration, and has high classification and detection accuracy.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
M. Baldin, D. Garcia, G. I. Zanton, F. Hao, A. D. Patterson, K. J. Harvatine
Summary: This experiment aimed to verify the effect of HMTBa on biohydrogenation-induced milk fat depression (MFD) and investigate its impact on rumen environment and fermentation. The results showed that HMTBa could reduce the concentration of trans fatty acids in milk fat, increase milk fat yield, and also affect rumen environment and digestion processes.
JOURNAL OF DAIRY SCIENCE
(2022)
Review
Agronomy
Olga Bykova, Oleg Shevkunov, Olga Kostyunina
Summary: This article provides an overview of international studies on the identification of genomic regions and SNPs associated with trans fatty acids in cow's milk. The results show that 68 SNPs were localized on specific chromosomes. Further research in this direction will contribute to the development of modern breeding technologies and high-quality dairy products.
Article
Food Science & Technology
M. Malkowska, B. Staniewski, J. Ziajka
Summary: This study evaluated the changes in composition and physicochemical properties of milk fat fractions obtained through dry fractionation, and found that fatty acid composition is closely related to the firmness/hardness and crystallization of milk fat and its fractions. The results revealed variations in saturated and unsaturated fatty acid ratios, leading to differences in melting and solidification curves, as well as microstructural differences in milk fat analyzed under a microscope.
INTERNATIONAL JOURNAL OF FOOD PROPERTIES
(2021)
Article
Chemistry, Multidisciplinary
Karla Inostroza, Giovanni Larama, Silvana Bravo, Mario Diaz, Nestor Sepulveda
Summary: This study found that the concentrations of fatty acids C18:1n9c and C18:2n6c in wool were positively correlated with high milk fat content in ewes, potentially being used to determine the milk fat content of ewes.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Applied
Rafaela F. Gatti, Felipe B. de Santana, Ronei J. Poppi, Daniela S. Ferreira
Summary: This study utilized a portable NIR spectrometer combined with chemometric tools to differentiate milk chocolate, white chocolate, 40% cocoa chocolate, and 70% cocoa chocolate samples under temperature abuse conditions. PCA separated the samples into different temperature groups for each chocolate type, while PLS-DA models showed high sensitivity, specificity, and accuracy values and identified the wavelengths most impacting the model construction.
Article
Food Science & Technology
X. L. Liang, Z. C. Zhanga, B. Ding, Z. R. Maa, J. T. Yang, G. T. Ding, H. N. Liu
Summary: In this study, adulterated ghee samples were successfully identified using high-resolution Raman spectroscopy combined with multivariate data analysis. The band differences in the Raman spectra of ghee were investigated and a partial least squares discrimination analysis (PLS-DA) model was established. The results demonstrated that Raman spectroscopy combined with chemometric methods has a broad application potential in the identification of adulterated ghee products.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Agriculture, Dairy & Animal Science
Sara Pacheco-Pappenheim, Sine Yener, Kelly Nichols, Jan Dijkstra, Kasper Hettinga, Hein J. F. van Valenberg
Summary: This study analyzed the effects of fat and protein supplementation on milk fat composition, structure, and solid fat content in dairy cattle. The results showed that fat supplementation had more significant changes on milk fat TAG composition and increased the solid fat content. These alterations may impact the absorption of fat and minerals in infant milk-based products and the processing of milk fat.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Food Science & Technology
Shuailing Yang, Shyam Suwal, Ulf Andersen, Jeanette Otte, Lilia Ahrn
Summary: The study showed that moderate pulsed electric field treatment can modify the structure of milk fat globules, leading to changes in milk stability, lipolysis, and fatty acid composition. Different sizes of milk fat globules have varying responses to PEF, which is significant for the development of new products and ingredients containing milk fat.
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES
(2021)
Review
Agriculture, Dairy & Animal Science
Kun Wang, Zimeng Xin, Zhi Chen, Huanan Li, Diming Wang, Yuan Yuan
Summary: This article discusses the role of conjugated linoleic acid (CLA) in ruminant dairy products and its regulatory mechanism on milk fat synthesis. CLA has multiple benefits, including anticancer, anti-inflammatory, immune regulation, and lipid metabolism regulation, and it has a positive impact on infant growth and health. The isomer cis-9, trans-11 CLA helps to increase milk fat content, while trans-10, cis-12 CLA inhibits it. CLA is also an important factor in determining the quality of ruminant dairy products.
Article
Food Science & Technology
Jelena Muncan, Zoltan Kovacs, Bernhard Pollner, Kentarou Ikuta, Yoshihisa Ohtani, Fuminori Terada, Roumiana Tsenkova
Summary: This study aimed to explore the potential of using NIR spectroscopy and aquaphotomics to quantify common dietary fatty acids and fat content in cow's liquid milk. The results showed improved quantification accuracy when focusing on the 1600-1800 nm spectral region, with good predictions for certain fatty acids. Influential variables in regression models highlighted the importance of water-FAs interaction for self-organization into different assemblies.
Article
Food Science & Technology
H. M. Hussain Khan, Ultan McCarthy, Karen Esmonde-White, Imelda Casey, Norah O'Shea
Summary: This study developed partial least squares regression models for the accurate measurement of fat, protein, and lactose components in raw milk using Raman spectroscopy.
Article
Agriculture, Dairy & Animal Science
Evgeniy Kharitonov
Summary: The study found that low milk fat is not related to acetate formation in the rumen or hormonal profile. Cows with low milk fat are more efficient at using metabolized energy and have lower heat production. Milk fat content is not influenced by hormones or rumen acetate formation. The number of lactations in dairy cows is inversely correlated with milk fat content.
Review
Food Science & Technology
Giles T. Hanley-Cook, Aisling J. Daly, Roseline Remans, Andrew D. Jones, Kris A. Murray, Inge Huybrechts, Bernard De Baets, Carl Lachat
Summary: Dietary diversity is an important public health principle, and its measurement is crucial for assessing diet quality and food security. However, the conventional methods fail to capture the full range of food diversity, thus requiring further improvement and adaptation.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Remote Sensing
Amna Qayyum, Bernard De Baets, Laure De Cock, Frank Witlox, Guy De Tre, Nico Van de Weghe
Summary: This paper explores the micro-scale traffic interactions at intersections and presents a novel approach to detect and represent the micro-scale traffic movement interactions at a non-signalized T-junction. The study shows that this approach allows for more detailed tracking of vehicle movements and plays an important role in traffic safety assessment.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Statistics & Probability
Matthys Lucas Steyn, Tertius de Wet, Bernard De Baets, Stijn Luca
Summary: This article proposes an open-set recognition model based on extreme value statistics, which introduces a distance ratio to express the dissimilarity between a target point and known classes, and uses the class of generalized Pareto distributions to model the peaks of the distance ratio, providing a probabilistic framework for open-set recognition.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Arne Deloose, Glenn Gysels, Bernard De Baets, Jan Verwaeren
Summary: This paper explores the use of natural language processing techniques to predict structured metadata in failure notifications. It highlights the challenges posed by the technical nature of the texts and the use of sentence fragments and abbreviations. The authors demonstrate that considering the dependencies between different components of the metadata and treating the prediction problem as a multidimensional classification problem can improve label prediction reliability.
COMPUTERS IN INDUSTRY
(2023)
Article
Computer Science, Theory & Methods
Yi Shi, Bin Pang, Bernard De Baets
Summary: In this article, the relationships between the fuzzy betweenness relations and three important mathematical notions, such as fuzzy interval operators, fuzzy partial orders, and fuzzy Peano-Pasch spaces, are explored in the setting of complete residuated lattices. The resulting category of fuzzy betweenness relations with respect to a fuzzy equivalence relation is shown to be isomorphic to that of geometric fuzzy interval spaces. A fuzzy partial order is constructed from a fuzzy betweenness relation, and its relationships are analyzed in depth. Furthermore, the concept of a fuzzy betweenness field is introduced, and it is shown that a vector space over a fuzzy betweenness field can yield a fuzzy Peano-Pasch space in the setting of completely distributive lattices.
FUZZY SETS AND SYSTEMS
(2023)
Article
Computer Science, Theory & Methods
Lemnaouar Zedam, Bernard De Baets
Summary: In this paper, the concept of a t-norm on bounded pseudo-ordered sets and bounded trellises is introduced, along with some basic examples. The impact of abandoning transitivity is discussed, highlighting that the meet operation is not a t-norm on a proper bounded trellis, and there may be no or multiple maximal t-norms. A generic construction method is provided to extend a t-norm on an interior range of a given perpendicular to-semi-trellis to the entire trellis, with a specific instantiation based on a finite sub-trellis of right-transitive elements. The focus is also on bounded pseudo-chains and modular trellises. (c) 2023 Elsevier B.V. All rights reserved.
FUZZY SETS AND SYSTEMS
(2023)
Article
Water Resources
Jorn van de Velde, Matthias Demuzere, Bernard De Baets, Niko Verhoest
Summary: This study presents a weather generator combining Bartlett-Lewis models and vine copulas, which can generate time series with statistics similar to those of the input. The generator shows adequate performance in terms of statistical moments and correlation, making it useful for characterizing future extremes.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Agriculture, Dairy & Animal Science
S. Heirbaut, X. P. Jing, B. Stefanska, E. Pruszynska-Oszmalek, L. Buysse, P. Lutakome, M. Q. Zhang, M. Thys, L. Vandaele, V. Fievez
Summary: This study used blood metabolic data to cluster lactating cows into imbalanced and balanced metabolic states. Predictive models based on milk composition were developed to determine the metabolic status of cows during early lactation. The combination of specific parameters improved the predictive performance of the models.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Computer Science, Theory & Methods
Barbara Wolnik, Anna Nenca, Bernard De Baets
Summary: This paper discusses two-dimensional cellular automata on a triangular grid that maintain the sum of all cell states. To investigate such automata, the split-and-perturb decomposition method is applied to triangular grids, which was originally developed for square grids. This results in a new mathematical tool that can enumerate k-ary number-conserving cellular automata on a triangular grid, regardless of the value of k.
THEORETICAL COMPUTER SCIENCE
(2023)
Article
Biotechnology & Applied Microbiology
Einar Artiles-Ortega, Veronica Andrade-Yucailla, Beatriz Medina-Lopez, Pedro Yoelvys de la Fe-Rodriguez, Nestor Acosta-Lozano, Veerle Fievez, Raciel Lima-Orozco
Summary: The effect of mixed silage on various factors such as chemical composition, ensilability, in vitro cellulase digestibility, and plant secondary metabolites were assessed. The results showed that the fermentation quality of mixed silage made from sugarcane and Mucuna pruriens beans was better than that made from sugarcane and Canavalia ensiformis beans. The ensiling process also decreased the content of plant secondary metabolites.
FERMENTATION-BASEL
(2023)
Article
Infectious Diseases
Waldemar Baldoquin Rodriguez, Mayelin Mirabal, Patrick Van der Stuyft, Tania Gomez Padron, Viviana Fonseca, Rosa Maria Castillo, Sonia Monteagudo Diaz, Jan M. Baetens, Bernard De Baets, Maria Eugenia Toledo Romani, Veerle Vanlerberghe
Summary: In order to improve dengue prevention and control efforts, the use of routinely collected data to develop risk maps is recommended. By using data from two municipalities in Cuba, dengue experts identified indicators representative of entomological, epidemiological, and demographic risks to construct risk maps. However, there was low agreement between vulnerability and incidence-based risk maps in areas with a prolonged history of dengue transmission, suggesting that an incidence-based approach may not fully capture the complexity of vulnerability.
TROPICAL MEDICINE AND INFECTIOUS DISEASE
(2023)
Article
Computer Science, Information Systems
Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets
Summary: In this paper, non-uniform elementary cellular automata on the infinite grid in the context of number conservation are studied. The study provides a comprehensive description of these automata. Previous research only focused on finite grids and derived hypotheses based on computer experiments. It is found that when considering number conservation for non-uniform cellular automata, the infinite grid cannot be treated as a limiting case of finite grids.
INFORMATION SCIENCES
(2023)
Article
Ecology
Wissam Barhdadi, Aisling J. Daly, Jan M. Baetens, Bernard De Baets
Summary: Individual biology influences population dynamics dependent on the environment through life history. Recent research has integrated metabolic theory with individual-based models to explore the link between individual physiology and demography. However, current population models do not consider individual behaviors, relying instead on imposed population-level relationships. This study proposes extending the model to include individual-scale behaviors and demonstrates its effectiveness in simulating consumer dynamics in a heterogeneous environment.
Article
Physics, Fluids & Plasmas
Barbara Wolnik, Anna Nenca, Adam Dzedzej, Bernard De Baets
Summary: This paper discusses two-dimensional cellular automata with rotation symmetry and number conservation. It is shown that if the number of states k is smaller than or equal to six, then each rotation-symmetric number-conserving cellular automaton is isomorphic to some k-ary one. However, an example of a seven-state rotation-symmetric number-conserving cellular automaton is provided in this paper, which demonstrates the importance of not only focusing on cellular automata with {0, 1, ..., k-1} as state sets.
Proceedings Paper
Computer Science, Information Systems
Hans De Meyer, Bernard De Baets
Summary: This passage highlights the importance of calculating pairwise winning probabilities between components of random vectors and the reciprocal relation derived from these probabilities can be used as an alternative to establish a stochastic dominance order.
BUILDING BRIDGES BETWEEN SOFT AND STATISTICAL METHODOLOGIES FOR DATA SCIENCE
(2023)