The significance of logistics in servicing growing volumes of e-commerce

Purpose: The article highlights the multi-task nature and prospects of the development of the transit potential of warehouse logistics systems, reveals the theoretical and methodological foundations of logistics in the storage and cargo handling system, indicates and confirms the importance of warehousing logistics in the context of servicing the growing volumes of electronic commerce. Design/Methodology/Approach: For the purposes of developing logistics in the storage and cargo handling system we study the technical and technological support and design developments that have significant potential for increasing the efficiency of logistics processes, and to study consumer behavior in the warehouse services market and transport market trends - warehouse activities. Findings: Automation significantly simplifies logistics processes, information exchange, remote control and management, optimizes costs by combining various market entities and objects, target groups and parameters of logistics processes on electronic platforms. Integration in modern logistics allows synchronizing the complex information component of electronic services and platforms and activating the formation of a system interface that is common for all elements of the logistics system of warehousing, cargo processing and inventory management. Practical implications: The results of the study can be implemented in the activities of Russian companies in order to develop the transit potential of warehouse logistics systems. Originality/value: The significance of this study lies in shifting the emphasis to the need to switch to improved customer service systems taking into account the needs and development of online retail and fulfillment of logistics operators (full-cycle operator: taking goods from the customer’s warehouse, responsible storage, packaging, delivery, work with returns), tied to the development of infrastructure, as the foundation for increasing the efficiency, speed and quality of logistics processes.peer-reviewe

National Mesothelioma Virtual Bank: A standard based biospecimen and clinical data resource to enhance translational research

Background: Advances in translational research have led to the need for well characterized biospecimens for research. The National Mesothelioma Virtual Bank is an initiative which collects annotated datasets relevant to human mesothelioma to develop an enterprising biospecimen resource to fulfill researchers' need. Methods: The National Mesothelioma Virtual Bank architecture is based on three major components: (a) common data elements (based on College of American Pathologists protocol and National North American Association of Central Cancer Registries standards), (b) clinical and epidemiologic data annotation, and (c) data query tools. These tools work interoperably to standardize the entire process of annotation. The National Mesothelioma Virtual Bank tool is based upon the caTISSUE Clinical Annotation Engine, developed by the University of Pittsburgh in cooperation with the Cancer Biomedical Informatics Grid™ (caBIG™, see http://cabig.nci.nih.gov). This application provides a web-based system for annotating, importing and searching mesothelioma cases. The underlying information model is constructed utilizing Unified Modeling Language class diagrams, hierarchical relationships and Enterprise Architect software. Result: The database provides researchers real-time access to richly annotated specimens and integral information related to mesothelioma. The data disclosed is tightly regulated depending upon users' authorization and depending on the participating institute that is amenable to the local Institutional Review Board and regulation committee reviews. Conclusion: The National Mesothelioma Virtual Bank currently has over 600 annotated cases available for researchers that include paraffin embedded tissues, tissue microarrays, serum and genomic DNA. The National Mesothelioma Virtual Bank is a virtual biospecimen registry with robust translational biomedical informatics support to facilitate basic science, clinical, and translational research. Furthermore, it protects patient privacy by disclosing only de-identified datasets to assure that biospecimens can be made accessible to researchers. © 2008 Amin et al; licensee BioMed Central Ltd

Language and identity in multimodal text: case study of Tailand´s Bank Pamphlet

With the main objective of presenting a linguistic model for the analysis of identity construction in multimodal texts, particularly in advertising, this article attempts to integrate three theoretical frameworks, namely the types of discourse of the Socio-Discursive Interactionism, Greimas’ actantial roles and the symbolic processes of the Grammar of Visual Design proposed by Kress & van Leeuwen. The first two theories are used to analyze verbal language form whereas the third is exclusively for images in advertising. The data sample is a Thai bank pamphlet of Siam Commercial Bank, collected in Bangkok, Thailand, in June, 2015. According to the data analysis, the theoretical frameworks employed here proves that identity, the psychological product, exists in the human mind and can be indexed by language in interaction. Also, the analysis found that identity could be projected as multimodally as language manifestation, of which forms are not only verbal but also pictorial.info:eu-repo/semantics/publishedVersio

The ReIMAGINE multimodal warehouse: using artificial intelligence for accurate risk stratification of prostate cancer

Introduction. Prostate cancer (PCa) is the most frequent cancer diagnosis in men worldwide. Our ability to identify those men whose cancer will decrease their lifespan and/or quality of life remains poor. The ReIMAGINE Consortium has been established to improve PCa diagnosis. Materials and methods. MRI will likely become the future cornerstone of the risk-stratification process for men at risk of early prostate cancer. We will, for the first time, be able to combine the underlying molecular changes in PCa with the state-of-the-art imaging. ReIMAGINE Screening invites men for MRI and PSA evaluation. ReIMAGINE Risk includes men at risk of prostate cancer based on MRI, and includes biomarker testing. Results. Baseline clinical information, genomics, blood, urine, fresh prostate tissue samples, digital pathology and radiomics data will be analysed. Data will be de-identified, stored with correlated mpMRI disease endotypes and linked with long term follow-up outcomes in an instance of the Philips Clinical Data Lake, consisting of cloud-based software. The ReIMAGINE platform includes application programming interfaces and a user interface that allows users to browse data, select cohorts, manage users and access rights, query data, and more. Connection to analytics tools such as Python allows statistical and stratification method pipelines to run profiling regression analyses. Discussion. The ReIMAGINE Multimodal Warehouse comprises a unique data source for PCa research, to improve risk stratification for PCa and inform clinical practice. The de-identified dataset characterized by clinical, imaging, genomics and digital pathology PCa patient phenotypes will be a valuable resource for the scientific and medical community

Position paper on realizing smart products: challenges for Semantic Web technologies

In the rapidly developing space of novel technologies that combine sensing and semantic technologies, research on smart products has the potential of establishing a research field in itself. In this paper, we synthesize existing work in this area in order to define and characterize smart products. We then reflect on a set of challenges that semantic technologies are likely to face in this domain. Finally, in order to initiate discussion in the workshop, we sketch an initial comparison of smart products and semantic sensor networks from the perspective of knowledge technologies

The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer

Introduction. Prostate cancer (PCa) is the most frequent cancer diagnosis in men worldwide. Our ability to identify those men whose cancer will decrease their lifespan and/or quality of life remains poor. The ReIMAGINE Consortium has been established to improve PCa diagnosis. / Materials and methods. MRI will likely become the future cornerstone of the risk-stratification process for men at risk of early prostate cancer. We will, for the first time, be able to combine the underlying molecular changes in PCa with the state-of-the-art imaging. ReIMAGINE Screening invites men for MRI and PSA evaluation. ReIMAGINE Risk includes men at risk of prostate cancer based on MRI, and includes biomarker testing. / Results. Baseline clinical information, genomics, blood, urine, fresh prostate tissue samples, digital pathology and radiomics data will be analysed. Data will be de-identified, stored with correlated mpMRI disease endotypes and linked with long term follow-up outcomes in an instance of the Philips Clinical Data Lake, consisting of cloud-based software. The ReIMAGINE platform includes application programming interfaces and a user interface that allows users to browse data, select cohorts, manage users and access rights, query data, and more. Connection to analytics tools such as Python allows statistical and stratification method pipelines to run profiling regression analyses. / Discussion. The ReIMAGINE Multimodal Warehouse comprises a unique data source for PCa research, to improve risk stratification for PCa and inform clinical practice. The de-identified dataset characterized by clinical, imaging, genomics and digital pathology PCa patient phenotypes will be a valuable resource for the scientific and medical community