Blending modelling in a process manufacturing system

integer programming;manufacturing;blending;production

Multi-product cycling with packaging in the process industry

A practical problem often encountered in the polymerization processing industry involves the multiproduct cycling problem in combination with the storage assignment problem. In this research we assume that products are stocked as bulk goods in a container park or in smaller individual bags. However, when bulk demand exceeds available bulk stock levels, then bags are “cut-in” and the contents put in containers to satisfy bulk demand. It appears that this extended multiproduct cycling problem analysis with newly added “cut-in” costs and fixed container assignments can lead to substantial cost improvements. A number of extensions to the solution methodology are shown. © 1993

Data Analytics Platforms: Value Propositions and Adoption Challenges for Small Hospitality Businesses

Managers increasingly seek ways to explore insights from data for business improvements and innovation. Data Analytics (DA) platforms hold promise for businesses, especially small businesses that cannot afford tailor-made proprietary analytics services. DA platforms offer generic analytics features to a pool of businesses, saving costs and enabling benchmarking. This paper explores value propositions and adoption challenges for small businesses regarding DA. The paper offers practical insights from designing and launching a DA platform targeting small businesses in the hospitality sector. The findings of our paper show that data analytics is potentially valuable for small businesses through insights into market and customer trends. Small businesses can leverage such insights to refine their offerings. Trust and privacy concerns in sharing data are key challenges holding back adoption. We proposed measures, especially privacy-preserving technologies, to mitigate the risk of tracing a specific enterprise's data shared on the DA platform. These measures assure businesses that data shared or analyzed through the DA platform is not used to harm their competitive advantage

A lexical approach for taxonomy mapping

Obtaining a useful complete overview of Web-based product information has become difficult nowadays due to the ever-growing amount of information available on online shops. Findings from previous studies suggest that better search capabilities, such as the exploitation of annotated data, are needed to keep online shopping transparent for the user. Annotations can, for example, help present information from multiple sources in a uniform manner. In order to support the product data integration process, we propose an algorithm that can autonomously map heterogeneous product taxonomies from different online shops. The proposed approach uses word sense disambiguation techniques, approximate lexical matching, and a mechanism that deals with composite categories. Our algorithm’s performance compared favorably against two other state-of-the-art taxonomy mapping algorithms on three real-life datasets. The results show that the F1-measure for our algorithm is on average 60% higher than a state-of-the-art product taxonomy mapping algorithm

S‑Palmitoylation during Retinoic Acid-Induced Neuronal Differentiation of SH-SY5Y Neuroblastoma Cells

S-Palmitoylation is the covalent attachment of C14:0-C22:0 fatty acids (mainly C16:0 palmitate) to cysteines via thioester bonds. This lipid modification is highly abundant in neurons, where it plays a role in neuronal development and is implicated in neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease. The knowledge of S-palmitoylation in neurodevelopment is limited due to technological challenges in analyzing this highly hydrophobic protein modification. Here, we used two orthogonal methods, acyl-biotin exchange (ABE) and lipid metabolic labeling (LML), to identify S-palmitoylated proteins and sites during retinoic acid-induced neuronal differentiation of SH-SY5Y cells. We identified 2002 putative S-palmitoylated proteins in total, of which 650 were found with both methods. Significant changes in the abundance of S-palmitoylated proteins were detected, in particular for several processes and protein classes that are known to be important for neuronal differentiation, which include proto-oncogene tyrosine-protein kinase receptor (RET) signal transduction, SNARE protein-mediated exocytosis, and neural cell adhesion molecules. Overall, S-palmitoylation profiling by employing ABE and LML in parallel during RA-induced differentiation of SH-SY5Y cells revealed a subset of high confidence bona fide S-palmitoylated proteins and suggested an important role for S-palmitoylation in neuronal differentiation