Article
Agriculture, Dairy & Animal Science
P. Martin, A. Vinet, C. Denis, C. Grohs, L. Chanteloup, D. Dozias, D. Maupetit, J. Sapa, G. Renand, F. Blanc
Summary: The study analyzed colostrum samples and calf serum from Charolais cows to assess passive immune transfer in beef cattle. Results showed higher concentrations of RID-IgG(1) in colostrum, and increased levels of RID-IgG(1) in calf serum were associated with improved survival and growth.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Veterinary Sciences
Donald Sockett, Ryan M. Breuer, Lindsey W. Smith, Nicholas S. Keuler, Thomas Earleywine
Summary: This study investigates the use of a digital Brix refractometer to predict colostrum IgG concentration. The results show that the refractometer is not suitable for predicting IgG concentration, but different %Brix cutoffs can be used for estimating minimum colostral IgG concentrations.
FRONTIERS IN VETERINARY SCIENCE
(2023)
Review
Agriculture, Dairy & Animal Science
A. J. Lopez, A. J. Heinrichs
Summary: Feeding maternal colostrum to newborn calves in their first hours of life is crucial for their development. Colostrum contains various nutrients and immunoglobulins, which play a significant role in building the calves' immune system. The successful transfer of passive immunity is determined by the calf's consumption of an adequate amount of immunoglobulins. Factors such as colostrum IgG concentration, quantity fed, and age of the calf at colostrum feeding influence the outcome of passive immunity. Monitoring serum IgG concentrations is recommended to assess the overall management of colostrum. Apparent efficiency of immunoglobulin absorption can be determined through direct or indirect methods and used to evaluate the prevalence of successful or failed passive immunity transfer.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Mathematics, Applied
Sanpeng Zheng, Renzhong Feng
Summary: The variable projection (VP) method is a classical and effective approach for solving the separable nonlinear least squares (SNLLS) problem. While the classical VP method has been applied to one-output radial basis function neural networks (ORBFNN), this study proposes a new VP method for general radial basis function neural networks (GRBFNN) that can have multiple output neurons. The new VP method transforms the SSE minimization problem of GRBFNN into a lower-dimensional optimization problem, and theoretical analysis shows that the stationary points of the lower-dimensional problem are equivalent to those of the original objective function. Numerical experiments demonstrate that minimizing the new objective function leads to faster convergence, smaller training errors, and smaller testing errors compared to minimizing the original objective function.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Agriculture, Dairy & Animal Science
I Elsohaby, J. C. Arango-Sabogal, J. T. McClure, S. Dufour, S. Buczinski, G. P. Keefe
Summary: Accurate assessment of colostrum quality is essential for calf health and future productivity in dairy farms. A study in Atlantic Canada assessed 591 colostrum samples from 42 commercial Holstein dairy herds using RID, TIR spectroscopy, and digital Brix refractometer, with different sensitivities and specificities observed for each method. The study also estimated within-herd prevalence of low-quality colostrum and recommended the use of digital Brix refractometer for improved colostrum management practices.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Lorenzo Pisello, Claudio Forte, Nicoletta D'Avino, Rocco Pisano, Doreene Rose Hyatt, Fabrizio Rueca, Fabrizio Passamonti
Summary: This study found that there are differences in IgG content in colostrum between beef and dairy cows, with beef cows having higher IgG concentrations. The digital Brix refractometer showed good sensitivity and specificity in detecting IgG concentration, but a breed-based cut-point is recommended for accuracy.
JOURNAL OF DAIRY RESEARCH
(2021)
Article
Computer Science, Theory & Methods
Parashjyoti Borah, Deepak Gupta
Summary: This paper proposes a fuzzy support vector machine approach based on class affinity and class probability, which addresses the issue of class imbalance and reduces sensitivity to outliers and noise effectively.
FUZZY SETS AND SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Parashjyoti Borah, Deepak Gupta
Summary: Inspired by ACFSVM, this study proposes a pair of fuzzy least squares support vector machine approaches based on class affinity and nonlinear transformed class probability. The approaches handle class imbalance by employing cost-sensitive learning and adjusting class probability with class size. The sensitivity to outliers and noise is reduced using each sample's affinity to its class obtained with least squares one-class support vector machine. The effectiveness of the proposed approaches is demonstrated through numerical experiments on different imbalance ratio datasets.
FUZZY SETS AND SYSTEMS
(2022)
Article
Mathematics, Applied
Pablo D. Brubeck, Yuji Nakatsukasa, Lloyd N. Trefethen
Summary: Vandermonde matrices become exponentially ill-conditioned at higher degrees, causing the familiar polyval(polyfit) algorithm for polynomial interpolation and least-squares fitting to be ineffective. However, this issue can be fixed by using Arnoldi orthogonalization, which involves constructing discrete orthogonal polynomials on-the-fly.
Article
Automation & Control Systems
Wenjie Li, Fuquan Li, Zhansi Jiang, Haijian Wang, Yang Huang, Qiaoxin Liang, Meikuan Huang, Tengfei Li, Xingyu Gao
Summary: This paper proposes a non-contact measurement method based on machine vision technology to overcome the disadvantages and time-consuming issues in traditional radial circular runout measurement. The fine edge information of the measured region is obtained using image template matching and sub-pixel edge extraction techniques. The RANSAC algorithm is applied to filter the noise in the edge data. The least squares method is used to fit the parallel lines of the measured region, obtaining the reference axis of the shaft. The distance from the measured point to the reference axis defines the radius at the rotating position, and the fluctuation of radius at different rotational positions is the radial circular runout. This method allows random rotation of the measured shaft during the measuring process and does not require high-precision-assisted rotation equipment, enhancing the convenience of the measurement equipment.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Mathematics, Applied
Mohammad Shirzadi, Mehdi Dehghan
Summary: This paper proposes a generalized regularized least-squares radial basis approximation for noisy data, which is applied to the numerical solution of stochastic elliptic PDEs. Numerical observations suggest that the method is more stable than typical kernel-based methods.
APPLIED MATHEMATICS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Hussam Muhamedsalih, Dawei Tang, Prashant Kumar, Xiangqian Jiang
Summary: Wavelength scanning interferometry is an interference technique used for measuring surface topography. Compared to the widely used fast Fourier transform analysis, a new fringe analysis method based on the Carre phase shifting algorithm combined with a least squares fitting approach can significantly eliminate waviness error, particularly when measuring steep surfaces.
Article
Orthopedics
Dermot O'Rourke, Francesca Bucci, William S. Burton, Rami Al-Dirini, Mark Taylor, Saulo Martelli
Summary: This study used a partial least squares regression model to determine the relationship between tibiofemoral bone geometry and passive motion of the knee. The results showed that anterior-posterior translation of the knee was mainly influenced by geometric changes in specific surface congruencies of the tibial and femoral condyles, while internal-external rotation was mainly influenced by femoral condyle width, tibia plateau size and conformity, and tibia eminences heights. Overall knee size had a significant impact on abduction-adduction motion. Understanding the complex relationship between tibiofemoral bone geometry and passive kinematics can help personalize treatments for better functional outcomes in patients.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2023)
Article
Automation & Control Systems
Hao Ma, Yan Wang, Zhicheng Ji
Summary: A novel approach is proposed in this paper to solve the collinearity problem of input variables in industrial process modeling. This approach introduces a dynamic nonlinear cascade structure as the inner model of the conventional partial least squares (PLS) method, and eliminates the collinearity between original dependent variables using an external model. The proposed approach effectively describes the dynamic and nonlinear relationships between input and output variables.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Engineering, Electrical & Electronic
Daniel Belega, Dario Petri
Summary: This article analyzes the impact of frequency error on amplitude and phase estimation, deriving a constraint to ensure accuracy of the estimates. By deriving expressions for MSE under the assumption of small frequency error, the study investigates the influence of frequency uncertainty on the algorithm.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Chemistry, Analytical
Ibrahim Elsohaby, J. Trenton McClure, Christopher B. Riley, Janet Bryanton, Kathryn Bigsby, R. Anthony Shaw
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2018)
Article
Multidisciplinary Sciences
Lyn M. Wise, Christa J. Bodaan, Gabriella S. Stuart, Nicola C. Real, Zabeen Lateef, Andrew A. Mercer, Christopher B. Riley, Christine L. Theoret
Article
Veterinary Sciences
I. Elsohaby, C. B. Riley, J. T. McClure
EQUINE VETERINARY JOURNAL
(2019)
Article
Veterinary Sciences
K. E. Lawrence, L. Wakeford, L. J. Toombs-Ruane, C. MacLachlan, H. Pfeffer, I. R. Gibson, J. Benschop, C. B. Riley
NEW ZEALAND VETERINARY JOURNAL
(2019)
Article
Orthopedics
S. Malek, H. Sun, M. C. Rochat, R. Beraud, T. R. Bailey, G. M. Wright, C. B. Riley
OSTEOARTHRITIS AND CARTILAGE
(2020)
Article
Multidisciplinary Sciences
J. Lacy Kamm, Natalie A. Parlane, Christopher B. Riley, Erica K. Gee, Keren E. Dittmer, C. Wayne Mcllwraith
Article
Veterinary Sciences
C. B. Riley, C. J. Jenvey, F. J. Baker, A. Corripio
NEW ZEALAND VETERINARY JOURNAL
(2020)
Article
Veterinary Sciences
C. B. Riley, H. Pfeffer, C. MacLachlan, L. Wakeford, I. R. Gibson, J. Benschop, K. E. Lawrence
Summary: This study described the bacterial species, antimicrobial susceptibility, and multidrug resistance in sheep samples submitted to veterinary diagnostic labs in New Zealand between 2003 and 2016. The most commonly isolated bacteria were Salmonella, Campylobacter, Listeria, and Yersinia, with varying levels of susceptibility to fluoroquinolones and tetracyclines. Multidrug resistance was found in a subset of isolates, with differences between bacterial species.
NEW ZEALAND VETERINARY JOURNAL
(2021)
Article
Veterinary Sciences
C. B. Riley, E. D. Aldrich, S. L. Pemberton, A. A. Mirza
Summary: A 9-year-old warmblood gelding presented with chronic respiratory signs was diagnosed with infectious bronchopneumonia associated with Nicoletella semolina. Treatment with antimicrobials led to improvement in clinical signs and the horse recovered without further complications.
NEW ZEALAND VETERINARY JOURNAL
(2021)
Article
Agriculture, Dairy & Animal Science
Christopher B. Riley, Kirsty L. Chidgey, Janis P. Bridges, Emma Gordon, Kevin E. Lawrence
Article
Agriculture, Dairy & Animal Science
Francesca Dai, Martina Zappaterra, Michela Minero, Francesca Bocchini, Christopher B. Riley, Barbara Padalino
Summary: The study identified factors such as the use of sedation and whips for loading, lack of vehicle brake checks, and vehicle design as major risk factors for equine transport-related injuries and problem behaviors. Educating industry members on best practices to minimize transport-related problems is crucial for safeguarding the well-being of horses and handlers.
Article
Agriculture, Dairy & Animal Science
Christopher B. Riley, Chris W. Rogers, Kirrilly R. Thompson, Danielle Guiver, Barbara Padalino
Summary: This study examines the injuries sustained by horses during road transport in New Zealand and identifies the factors associated with these injuries. The findings highlight the significant incidence of injury and related death during horse transport by road in New Zealand and the key risk factors involved.
Article
Agriculture, Dairy & Animal Science
Luca Panizzi, Keren E. Dittmer, Matthieu Vignes, Jennie S. Doucet, Kristene Gedye, Mark R. Waterland, Chris W. Rogers, Hiroki Sano, C. Wayne McIlwraith, Christopher B. Riley
Summary: This study aimed to determine if the measurement of cell-free DNA could be used for the early diagnosis of osteoarthritis in horses. Osteoarthritis was induced in some horses, and joint fluid and plasma samples were collected for measurement. The results showed that the concentration of cell-free DNA in joint fluid was significantly higher in horses with osteoarthritis compared to the control group, but there were no significant differences in plasma cell-free DNA concentrations. Measurement of cell-free DNA in joint fluid may be useful for early diagnosis of osteoarthritis in horses.
Article
Agriculture, Dairy & Animal Science
Christopher B. Riley, Barbara Padalino, Chris W. Rogers, Kirrilly R. Thompson
Summary: There is an increased understanding of shared human-animal risk in terms of one welfare, whereby when animals are at risk, so are people, so preventing injury to one species may also prevent injury to the other. This study aimed to determine the frequency and associated factors of road equine transport-related injuries to humans in New Zealand. The results showed that 10.5% of horse industry participants experienced injuries while preparing, loading, traveling, or unloading horses, with hand injuries being the most common. Wearing helmets and gloves, and adopting strategies to eliminate equine injuries are recommended to reduce the risk of injury to horse handlers during road transport.
Article
Veterinary Sciences
Rayappan Cyril Roy, Christopher B. Riley, Henrik Stryhn, Ian Dohoo, Michael S. Cockram
FRONTIERS IN VETERINARY SCIENCE
(2019)