Membrane Technological Pathways and Inherent Structure of Bacterial Cellulose Composites for Drug Delivery

This report summarizes efforts undertaken in the area of drug delivery, with a look at further efforts made in the area of bacterial cellulose (BC) biomedical applications in general. There are many current methodologies (past and present) for the creation of BC membrane composites custom-engineered with drug delivery functionality, with brief consideration for very close applications within the broader category of biomedicine. The most emphasis was placed on the crucial aspects that open the door to the possibility of drug delivery or the potential for use as drug carriers. Additionally, consideration has been given to laboratory explorations as well as already established BC-drug delivery systems (DDS) that are either on the market commercially or have been patented in anticipation of future commercialization. The cellulose producing strains, current synthesis and growth pathways, critical aspects and intrinsic morphological features of BC were given maximum consideration, among other crucial aspects of BC DDS.

Social Media, Interfacing Brands in Relation to the Social Media Ecosystem

Much of the existing research in social media has been directed at examining the consequences of the interactive nature of the evolving medium and communication issues, with little to say about the impact of this medium on brands. Drawing on Fiske's relational model, this current chapter examines the interface between social media and brands, particularly on the breadth and the dimensions of the level of engagement. Social networks, such as Facebook and Twitter, are revolutionising the way companies market their products. New means of interaction and dialogue are used in part because of the inherent structure and features of these social media platforms. The chapter concludes by discussing the implications of the analysis for understanding of new terminology in the evolving marketing environment.

Effect of physiochemical properties in biomass-derived materials caused by different synthesis methods and their electrochemical properties in supercapacitors

Biomass-derived carbons have drawn much attention as electrode materials of supercapacitor due to their low cost, renewability and readily availability. The inherent structure of different biomass greatly affects the microstructure...

Iconicity in syntax and the architecture of linguistic theory

Linguistic iconicity has been studied since ancient times (e.g., Plato’s Cratylus, see Cooper & Hutchinson 1997). Within modern grammatical description, this notion was mostly developed by Jakobson and Benveniste; nowadays, iconicity in language is even being experimentally tested (e.g., Blasi et al. 2016; Diatka & Milička 2017). However, most studies on linguistic iconicity pertain to prosody, sound symbolism, or morphology; syntactic iconicity has been vastly underexplored. In this paper, we present two hypotheses concerning syntactic iconicity: (1) syntactic descriptions of natural language strings have an inherent structure which is isomorphic to that of representations in some other component of grammar or a non-grammatical system; or (2) linear order imposed on phrase structure is isomorphic to that in some other component of grammar or a non-grammatical system. We will argue in favour of the former, which constitutes a novel perspective on iconicity in grammar. We furthermore discuss the place that iconicity may have in the architecture of a generative system.

Hypothetical tensor-based multi-criteria recommender system for new users with partial preferences

Multi-Criteria Recommender Systems (MCRSs) have been developed to improve the accuracy of single-criterion rating-based recommender systems that could not express and reflect users? fine-grained rating behaviors. In most MCRSs, new users are asked to express their preferences on multi-criteria of items, to ad15 dress the cold-start problem. However, some of the users? preferences collected are usually not complete due to users? cognitive limitation and/or unfamiliarity on item domains, which is called ?partial preferences?. The fundamental challenge and then negatively affects to accurately recommend items according to users? preferences through MCRSs. In this paper, we propose a Hypothetical Tensor Model (HTM) to leverage auxiliary data complemented through three intuitive rules dealing with user?s unfamiliarity. First, we find four patterns of partial preferences that are caused by users? unfamiliarity. And then the rules are defined by considering relationships between multi-criteria. Lastly, complemented preferences are modeled by a tensor to maintain an inherent structure of and correlations between the multi-criteria. Experiments on a TripAdvisor dataset showed that HTM improves MSE performances from 40 to 47% by comparing with other baseline methods. In particular, effective nesses of each rule regarding multi-criteria on HTM are clearly revealed.

Information and Value

The article considers a unit of information as a difference between two things exchanged. The opposite of subjective definitions of value makes exchange mutually beneficial. It reveals the immanent contradiction inherent in the exchanged things, which activates the forces of repulsion and attraction. The identity, difference, and their symmetry, which characterize the interaction of the exchange elements, carry information about their internally inherent structure and organization. It is proved that the information necessary for the agents is born in the process of exchange. It can only be detected in the act of choice. The article traces connection of the information with the energy of interests of the exchange participants, their actions, thoughts, completed and unfinished acts. A conclusion is made about the coordinating role of market prices as a system that brings together the agents’ activities by transmitting knowledge in a simplified form.