A set of components (CMLReact) for managing chemical and biochemical reactions has been added to CML. These can be combined to support most of the strategies for the formal representation of reactions. The elements, attributes, and types are formally defined as XMLSchema components, and their semantics are developed. New syntax and semantics in CML are reported and illustrated with 10 examples.

Comparison of chickpea (Cicer arietinum L.) genotypes for morphological and biochemical attributes was done. Morphological characters viz. Plant height, number of branches and number of leaves were recorded highest in chilling tolerant genotypes at early stages of development (30 and 60 DAS) whereas at later stages (90 and 120 DAS) these characters were recorded highest in chilling sensitive ge...

Thermostable enzymes production depends on number of attributes such as temperature, pH, inoculum, time and agitation. Optimizing the relationship between these attributes has been a challenge in biochemical research field. Machine learning techniques such as Artificial Neural Networks (ANN), Fuzzy Logic (FL) and Genetic Algorithms (GAs) were used to solve the lipase activity modeling problem. ...

We introduce a method for improving facial attribute predictions using other attributes. In the domain of face recognition and verification, attributes are high-level descriptions of face images. Attributes are very useful for identification as well as image search as they provide easily understandable descriptions of faces, rather than most other image descriptors (i.e. HOG, LBP, and SIFT). A ...

The present study was undertaken to establish the seasonal variations in semen biochemical indices in Bhadawari bull. Four fertile, healthy adult Bhadawari bulls aged between 2 to 4 years were used as semen donors. The study was conducted over a period of six months and divided into three seasons as winter season (FebruaryMarch), dry summer season (April-May) and wet summer season (June-July). ...

In this study we explore the ability of a novel machine learning approach, in conjunction with computer–extracted features describing prostate cancer morphology on pre–treatment MRI, to predict whether a patient will develop biochemical recurrence within ten years of radiation therapy. Biochemical recurrence, which is characterized by a rise in serum prostate–specific antigen (PSA) of at least ...