Xiaomeng Ye
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View article: Effect of feeding programme on the metabolisable energy of feed for broilers: starvation-feeding-starvation vs ad libitum feeding
Effect of feeding programme on the metabolisable energy of feed for broilers: starvation-feeding-starvation vs ad libitum feeding Open
The determination of metabolisable energy (ME) in feed ingredients is essential for accurate diet formulation and growth management in broiler. However, the precision of ME determination may be influenced by the choice of feeding programme…
View article: Fully Interpretable and Adjustable Model for Depression Diagnosis: A Qualitative Approach
Fully Interpretable and Adjustable Model for Depression Diagnosis: A Qualitative Approach Open
Recent advances in machine learning (ML) have enabled AI applications in mental disorder diagnosis, but many methods remain black-box or rely on post-hoc explanations which are not straightforward or actionable for mental health practition…
View article: Evaluation of lipid sources and emulsifier addition on fat digestion of yellow-feathered broilers
Evaluation of lipid sources and emulsifier addition on fat digestion of yellow-feathered broilers Open
This study evaluated the effect of an emulsifier on the energetic values of lipids fed to yellow-feathered chickens and established prediction equations for the metabolizable energy (ME) of lipids fed with and without an emulsifier. One hu…
View article: A comparative evaluation on the energetic values and digestibility of fatty acids in rice bran oil and palm oil for broilers
A comparative evaluation on the energetic values and digestibility of fatty acids in rice bran oil and palm oil for broilers Open
The objective of this study was to compare the digestibility of energy and fatty acids (FA) in rice bran oil (RBO) and palm oil (PO) fed to growing Arbor Acre (AA) broilers. A corn-soybean meal basal diet and the basal diet supplemented wi…
View article: Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features
Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features Open
The case difference heuristic (CDH) approach is a knowledge-light method for learning case adaptation knowledge from the case base of a case-based reasoning system. Given a pair of cases, the CDH approach attributes the difference in their…