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Mammal's saliva contains a variety of electrolytes and proteins. They carry out an important role in the digestion process, in the antibacterial and antiviral activity, in lubrication and maintenance of oral general health status. It may also contain several enzymes according to dietary habits and general wellness. Sialochemistry is a valid alternative to the haematochemical analysis for the evaluation of animal health and nutritional status. At present, very little knowledge is available on health status and pathology of crested porcupine (Hystrix cristata) and no data are yet available on salivary enzymes. Between 2018 and 2020, a preliminary investigation of enzymatic activity on saliva samples was carried out from captured porcupines. In crested porcupine saliva, enzymatic activity of trypsin, chymotrypsin, N-Aminopeptidase, amylase, lignin peroxidise, cellulase and chitinase were recorded. Superoxide dismutase, catalase, glutathione S-transferase and alkaline phosphatase activity was also detected. The superoxide dismutase activity resulted higher (3.13 SD 3.58 U/mg proteins) than those of catalase (130.80 SD 110.65 mU/mg proteins) and glutathione S-transferase (20.21 SD 16.62 mM/mg proteins). Alkaline phosphatase activity resulted lower (5.91 SD 6.12 mU/mg proteins) than acidic phosphatase (19.00 SD 16.16 U/mg proteins) with the highest values of saliva alkaline phosphatases recorded in young individuals. These preliminary data bring new knowledge on crested porcupine saliva enzymes and may provide a useful tool for further investigation on the adaptive response of crested porcupine to different environmental condition and diet. Additional investigation concerning a possible alternative use of saliva enzymes as indicator of health and nutritional status of this rodent are desirable.
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http://dx.doi.org/10.1111/jpn.13613 | DOI Listing |
J Dairy Sci
August 2025
College of Mechanical and Electronic Engineering, Tarim University, Alaer 843300, China; Modern Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, Alaer 843300, China; Xinjiang Production and Construction Corps Key Laboratory of Utili
To address the long-standing dual challenges in the camel milk industry, namely, the difficulty in identifying adulteration and the severe lag in nutritional component detection, this study analyzed the variation patterns of the dielectric constant (ε') and dielectric loss factor (ε") of camel milk fat, protein, and lactose. Based on the dielectric spectrum, detection models were constructed using partial least squares (PLS), convolutional neural network (CNN), long short-term memory network (LSTM), CNN-LSTM, and an optimized CNN-LSTM fused with the crested porcupine optimizer (CPO) and squeeze-and-excitation network (CPO-CNN-LSTM-SEN) for camel milk quality detection. The results indicate that across the 0.
View Article and Find Full Text PDFSci Rep
July 2025
School of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Road traffic accidents pose a significant threat to public safety in China. This study proposes a novel severity prediction framework based on a Modified Stochastic Crested Porcupine Optimizer (MSCPO) combined with the XGBoost algorithm. The model was trained on 4287 accident cases from China's National Automobile Accident In-depth Investigation System (NAIS), collected between 2018 and 2023.
View Article and Find Full Text PDFPLoS One
June 2025
School of Finance, Anhui University of Finance and Economics, Bengbu, China.
In light of global climate change and the objective of carbon neutrality, the carbon market has become an important tool for the international community to combat climate change. Nonetheless, due to the complexity and non-linear nature of the carbon price, its accurate prediction has always been a research difficulty. This work presents a hybrid model incorporating comprehensive feature screening, optimized quadratic decomposition, and the Optuna-Attention-LSTM prediction method, aiming to improve the accuracy and stability of carbon price prediction.
View Article and Find Full Text PDFSensors (Basel)
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School of Computer and Information Engineering, Tianjin Normal University, Tianjin 300387, China.
Microservice deployment methods in edge-native computing environments hold great potential for minimizing user application response time. However, most existing studies overlook the communication overhead between microservices and controllers, as well as the impact of microservice pull time on user response time. To address these issues, this paper proposes a multi-controller service mesh architecture to reduce data transfer overhead between microservices and controllers.
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