Article
Agriculture, Dairy & Animal Science
Yingyu Mu, Wangpan Qi, Tao Zhang, Jiyou Zhang, Shengyong Mao
Summary: This study compared the milk quality, milk microbiota, and metabolites of cows fed with different concentrate levels. The results showed that cows fed with high concentrate had lower milk fat percentage. There were no significant differences in the diversity and composition of milk microbiota, but the levels of metabolites were different.
JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY
(2023)
Article
Agriculture, Dairy & Animal Science
R. M. Petri, S. Aditya, E. Humer, Q. Zebeli
Summary: Feeding a grain-rich diet can lead to subacute ruminal acidosis (SARA), which affects the hindgut microbial community. A study examined the effects of a high-grain SARA model on cows' hindgut microbiota and found that while SARA reduced fecal diversity, an external LPS challenge altered the microbial community without affecting fecal fermentation properties.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Biochemistry & Molecular Biology
Jianlin Zeng, Jianshu Lv, Hongwei Duan, Shuai Yang, Jianxin Wu, Zhenxing Yan, Rong Zhang, Junjie Hu, Yong Zhang
Summary: The demand for economic benefits has led to an increase in the proportion of high-concentrate (HC) feed in the ruminant diet, resulting in an increased incidence of subacute ruminal acidosis (SARA). During SARA, a high concentration of lipopolysaccharide (LPS) translocated in the rumen induces a systemic inflammatory response. This study provides new evidence that SARA is a potential factor that induces systemic inflammation in ruminants.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Agriculture, Dairy & Animal Science
F. Huot, S. Claveau, A. Bunel, D. E. Santschi, R. Gervais, E. R. Paquet
Summary: Low reticuloruminal pH (rpH) in cows can lead to sub-acute ruminal acidosis (SARA), which can negatively impact rumen health and animal performance. Through an observational study on 110 early-lactation Holstein cows from 12 commercial farms, we found that rpH variability is influenced by farm management factors such as automatic milking system and presence of corn silage in the ration. The study also showed that rpH is highly variable among animals on the same farm.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Guohao Han, Xiaosha Gao, Jinwei Duan, Huiqin Zhang, Yan Zheng, Jinxing He, Nairui Huo, Caixia Pei, Hongli Li, Shaopeng Gu
Summary: This study evaluated the effects of Saccharomyces cerevisiae and Diutina rugosa strains on preventing subacute ruminal acidosis (SARA) in sheep. The results showed that these strains stabilized ruminal pH, improved richness of rumen microflora, alleviated acidosis and inflammation, and prevented SARA in sheep, indicating potential probiotic effects.
ANIMAL FEED SCIENCE AND TECHNOLOGY
(2021)
Review
Agriculture, Dairy & Animal Science
J. C. Plaizier, F. J. Mulligan, E. W. Neville, L. L. Guan, M. A. Steele, G. B. Penner
Summary: Subacute ruminal acidosis (SARA) is a common disease in high-yielding dairy cows. The prevalence of SARA is determined by measuring ruminal pH, but this may not be accurate. Grain-based SARA challenges affect gut health by altering pH, microbiota composition, and causing inflammation. However, there are variations in the experimental methods used for SARA challenges, requiring further research.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Tao Zhang, Yingyu Mu, Ruiyang Zhang, Yanfeng Xue, Changzheng Guo, Wangpan Qi, Jiyou Zhang, Shengyong Mao
Summary: This study investigated the differences in ruminal bacterial community and metabolome in dairy cows with different susceptibility to subacute ruminal acidosis (SARA). The results showed that susceptible cows had a higher proportion of starch degrading bacteria and higher VFA-producing capacity, resulting in a disruption of metabolic homeostasis in the rumen and higher susceptibility to SARA.
Article
Agriculture, Dairy & Animal Science
Kexin Wang, Zhenai Sun, Yunfei Li, Mingchao Liu, Juan J. Loor, Qianming Jiang, Guowen Liu, Zhe Wang, Yuxiang Song, Xinwei Li
Summary: Subacute ruminal acidosis (SARA), commonly found in dairy cows, leads to systemic inflammation and increased levels of histamine in the blood. This study suggests that histamine can enhance neutrophil adhesion by inhibiting autophagy in cows with SARA.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
H. Yang, S. Heirbaut, J. Jeyanathan, X. P. Jing, N. De Neve, L. Vandaele, V Fievez
Summary: Both ruminal microbial structure and functionality may contribute to inter-individual variation in susceptibility for subacute rumen acidosis (SARA) in dairy cows. This study found that cows with different SARA susceptibility had distinct ruminal and salivary bacterial communities, as well as differences in fermentative capacity of ruminal microbiota.
JOURNAL OF DAIRY SCIENCE
(2022)
Review
Agriculture, Dairy & Animal Science
Jian Ma, Ali Mujtaba Shah, Zhisheng Wang, Xue Fan
Summary: Studies have shown that subacute ruminal acidosis can affect the barrier function of ruminal epithelium in ruminants, while supplementation with thiamine can alleviate this damage. Thiamine plays a crucial role in maintaining the function of ruminal epithelium in ruminants during subacute ruminal acidosis challenge.
ANIMAL SCIENCE JOURNAL
(2021)
Article
Agriculture, Dairy & Animal Science
Hyun Sang Kim, Jun Sik Eom, Shin Ja Lee, Youyoung Choi, Seong Uk Jo, Sang Suk Lee, Eun Tae Kim, Sung Sill Lee
Summary: The objective of this study was to compare the levels of metabolites in serum and milk obtained from cows fed on different concentrate to forage feed ratios. Blood and milk samples were collected from lactating Holstein cows, and metabolite levels were estimated using proton nuclear magnetic resonance and analyzed using Chenomx 8.4. The results showed that the concentrate to forage feed ratios had an impact on the metabolite levels in both serum and milk.
Article
Agriculture, Dairy & Animal Science
Antonella Della Badia, Pilar Frutos, Pablo G. Toral, Gonzalo Hervas
Summary: By comparing the ruminal responses of goats and sheep, we found that the degree of milk fat depression is not predetermined by ruminal fermentation and biohydrogenation traits, but is associated with the concentration of unsaturated fatty acids.
JOURNAL OF DAIRY SCIENCE
(2023)
Review
Agriculture, Dairy & Animal Science
Mawda E. Elmhadi, Darien K. Ali, Mawahib K. Khogali, Hongrong Wang
Summary: Dairy cattle in modern intensive feeding systems, especially during the transition period, are often fed high-concentrate diets. Switching to a high-concentrate diet can disrupt the balance of rumen microbiota and lead to subacute ruminal acidosis. The composition of the diet, particularly the ratio of starch to fibrous carbohydrates, plays a crucial role in shaping the rumen microbiota. Feeding highly fermentable carbohydrate diets can result in a decrease in ruminal pH due to the imbalance between fermentation rate and absorption and buffering rates.
Article
Veterinary Sciences
Mariam G. Ahmed, Adham A. Al-Sagheer, Samir Z. El-Zarkouny, Eman A. Elwakeel
Summary: The study concludes that cinnamon extract can be effectively used as an alternative to monensin to control ruminal acidosis when corn is used as a basal diet.
BMC VETERINARY RESEARCH
(2022)
Article
Agriculture, Dairy & Animal Science
M. Coppa, C. Villot, C. Martin, M. Silberberg
Summary: The research aimed to evaluate the multiparametric models developed based on non-invasive indicators to detect subacute ruminal acidosis (SARA) in dairy cows using on-farm and INRAE data. New models were built by combining the two datasets and increasing the number of indicators to improve discrimination capacity. The findings showed varying sensitivities and specificities of the models and highlighted the importance of enriching the models with specific indicators.
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, Artificial Intelligence
Alicia Robles-Velasco, Pablo Cortes, Jesus Munuzuri, Bernard De Baets
Summary: This study proposes the use of multi-label classification techniques to predict pipe failures in water supply systems for multiple years. Various models and prediction time periods are analyzed, showing successful results in avoiding pipe failures over time.
EXPERT SYSTEMS WITH APPLICATIONS
(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
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)