We aim to enable the accurate and efficient transfer of knowledge about gene function gained from Arabidopsis thaliana and other model organisms to other plant species. This knowledge transfer is frequently challenging in plants due to duplications of individual genes and whole genomes in plant lineages. Such duplications result in complex evolutionary relationships between related genes, which may have similar sequences but highly divergent functions. In such cases, functional inference requires more than a simple sequence similarity calculation. We have developed an online resource, PhyloGenes (phylogenes.org), that displays precomputed phylogenetic trees for plant gene families along with experimentally validated function information for individual genes within the families. A total of 40 plant genomes and 10 non‐plant model organisms are represented in over 8,000 gene families. Evolutionary events such as speciation and duplication are clearly labeled on gene trees to distinguish orthologs from paralogs. Nearly 6,000 families have at least one member with an experimentally supported annotation to a Gene Ontology (GO) molecular function or biological process term. By displaying experimentally validated gene functions associated to individual genes within a tree, PhyloGenes enables functional inference for genes of uncharacterized function, based on their evolutionary relationships to experimentally studied genes, in a visually traceable manner. For the many families containing genes that have evolved to perform different functions, PhyloGenes facilitates the use of evolutionary history to determine the most likely function of genes that have not been experimentally characterized. Future work will enrich the resource by incorporating additional gene function datasets such as plant gene expression atlas data.

This study investigated the performance behaviour and energy management control strategies of an electrified two-wheeled vehicle (E-TWV). The power and energy demands were calculated through a high-fidelity E-TWV model. A lithium-ion battery (LIB) pack was designed and characterized according to electric motor power requirements. Three transient duty cycles, modified assessment and reliability of transport emission models and inventory systems (ARTEMIS), federal test procedure (FTP)-75, and world harmonized test protocol (WLTP) class 2 were used to assess the energy management control strategies. The E-TWV model has managed to meet the power demand with less than 2% across the speed range. The electric motor architecture demonstrated an improvement in the performance acceleration of the vehicle (pass-by accelerations = 4.5 s) and the energy consumption in all transient duty cycles via control strategies implementation and regenerative braking (< 60 W•h/km). All results were also validated using three energy sources, namely coal, natural gas, and combined (CC) gas turbine to determine the well-to-wheel carbon dioxide (CO2) emission. The CC gas turbine produced 45 % less CO2 g/km compared to coal which indicated that the E-TWV can only be successful if the source of energy to charge the LIB is clean and sustainable.

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The Indian manufacturing industry is growing rapidly, and supply chain management (SCM) plays the most important role in the industry. In SCM, customer satisfaction in terms of quantity, quality and on time delivery is the most important critical factor. To satisfy this requirement, the best third-party logistics (3PL) service provider is required.  Therefore, the selection of the best third-party logistics provider is one of the basic requirements in SCM. Logistics services are the backbone of an economy, providing the efficient, cost effective flow of goods and services on which other commercial sectors depend. The logistics companies work as the outsourced or third-party service providers and support the organization's logistics functions. In this study, we identified some important criteria for 3PL implementation in SCM in Indian manufacturing industries.  With the help of this study, supply chain managers from small to medium sized manufacturing industries can simplify the selection process for 3PL vendors. This study will help in the selection of the best vendor from such a competitive group and provide justification for the selection.