Continuation methods for approximate large scale object sequencing

Machine Learning - We propose a set of highly scalable algorithms for the combinatorial data analysis problem of seriating similarity matrices. Seriation consists of finding a permutation of data...     

Thematic orientation of the ISJ within a semantic space of IS research

This study examines research published in the first 24 years of Information Systems Journal's (ISJ) publication history using a thematic space of all information systems (IS) research as the backdrop. To that end, abstracts from all contributing articles published in eight prominent IS journals in the period 1991–2014 were analysed to extract a latent semantic space of five broad research areas. A two‐dimensional projection of the results was used to create a two‐by‐two map, where one dimension represents the European vs. North American style of IS research and another dimension represents a micro vs. macro level of IS research. The ISJ is positioned in the ‘micro and European school’ quadrant. Over the course of the journal's first 24 years, research in the ISJ started with a relative focus on the IT artefact and IS development and gradually moved towards a more balanced position that includes a considerable amount of research on IT for teamwork and collaboration, as well as on IT and individuals.     

Microforms in Gravel Bed Rivers: Formation, Disintegration, and Effects on Bedload Transport

This research aims to advance current knowledge on cluster formation and evolution by tackling some of the aspects associated with cluster microtopography and the effects of clusters on bedload transport. The specific objectives of the study are (1) to identify the bed shear stress range in which clusters form and disintegrate, (2) to quantitatively describe the spacing characteristics and orientation of clusters with respect to flow characteristics, (3) to quantify the effects clusters have on the mean bedload rate, and (4) to assess the effects of clusters on the pulsating nature of bedload. In order to meet the objectives of this study, two main experimental scenarios, namely, Test Series A and B (20 experiments overall) are considered in a laboratory flume under well-controlled conditions. Series A tests are performed to address objectives (1) and (2) while Series B is designed to meet objectives (3) and (4). Results show that cluster microforms develop in uniform sediment at 1.25 to 2 times the Shields parameter of an individual particle and start disintegrating at about 2.25 times the Shields parameter. It is found that during an unsteady flow event, effects of clusters on bedload transport rate can be classified in three different phases: a sink phase where clusters absorb incoming sediment, a neutral phase where clusters do not affect bedload, and a source phase where clusters release particles. Clusters also increase the magnitude of the fluctuations in bedload transport rate, showing that clusters amplify the unsteady nature of bedload transport. A fourth-order autoregressive, autoregressive integrated moving average model is employed to describe the time series of bedload and provide a predictive formula for predicting bedload at different periods. Finally, a change-point analysis enhanced with a binary segmentation procedure is performed to identify the abrupt changes in the bedload statistic characteristics due to the effects of clusters and detect the different phases in bedload time series using probability theory. The analysis verifies the experimental findings that three phases are detected in the bedload rate time series structure, namely, sink, neutral, and source.     

Large DHW solar systems with distributed storage tanks

The thermal behaviour of a central DHW solar system, the design of which is based on a new Central Collection-Separate Storing (CCSS) approach, has been investigated theoretically. The common practice for large DHW solar systems, of employing a central storage and delivery facility, has been shown in the past to exhibit a rather poor performance and considerable heat losses. This is due to the extensive lengths of pipework required for both the transfer of solar energy and the delivery of hot water. The CCSS solar system presented can overcome the above problems by employing separate storage tanks for each family, thus being best suited for multistory buildings. The simulation analysis has revealed a number of interesting features for the system performance: (i) the collected energy is distributed to all users in a fair manner, irrespective of their distance from the collector field and the daily hot water consumption profiles; (ii) an energy saving behaviour is most likely to evolve by most users, since the auxiliary energy consumptions are charged individually (unlike in large DHW solar systems with central water storage and delivery); and (iii) high values of solar fractions, comparable with those attained by thermosiphon systems, have been derived.     

Endosomal Escape of Polymer‐Coated Silica Nanoparticles in Endothelial Cells

Current investigations into hazardous nanoparticles (i.e., nanotoxicology) aim to understand the working mechanisms that drive toxicity. This understanding has been used to predict the biological impact of the nanocarriers as a function of their synthesis, material composition, and physicochemical characteristics. It is particularly critical to characterize the events that immediately follow cell stress resulting from nanoparticle internalization. While reactive oxygen species and activation of autophagy are universally recognized as mechanisms of nanotoxicity, the progression of these phenomena during cell recovery has yet to be comprehensively evaluated. Herein, primary human endothelial cells are exposed to controlled concentrations of polymer‐functionalized silica nanoparticles to induce lysosomal damage and achieve cytosolic delivery. In this model, the recovery of cell functions lost following endosomal escape is primarily represented by changes in cell distribution and the subsequent partitioning of particles into dividing cells. Furthermore, multilamellar bodies are found to accumulate around the particles, demonstrating progressive endosomal escape. This work provides a set of biological parameters that can be used to assess cell stress related to nanoparticle exposure and the subsequent recovery of cell processes as a function of endosomal escape.     

Latent Semantic Analysis: five methodological recommendations

The recent influx in generation, storage, and availability of textual data presents researchers with the challenge of developing suitable methods for their analysis. Latent Semantic Analysis (LSA), a member of a family of methodological approaches that offers an opportunity to address this gap by describing the semantic content in textual data as a set of vectors, was pioneered by researchers in psychology, information retrieval, and bibliometrics. LSA involves a matrix operation called singular value decomposition, an extension of principal component analysis. LSA generates latent semantic dimensions that are either interpreted, if the researcher's primary interest lies with the understanding of the thematic structure in the textual data, or used for purposes of clustering, categorization, and predictive modeling, if the interest lies with the conversion of raw text into numerical data, as a precursor to subsequent analysis. This paper reviews five methodological issues that need to be addressed by the researcher who will embark on LSA. We examine the dilemmas, present the choices, and discuss the considerations under which good methodological decisions are made. We illustrate these issues with the help of four small studies, involving the analysis of abstracts for papers published in the European Journal of Information Systems.     

Design and Development of Biomimetic Nanovesicles Using a Microfluidic Approach

The advancement of nanotechnology toward more sophisticated bioinspired approaches has highlighted the gap between the advantages of biomimetic and biohybrid platforms and the availability of manufacturing processes to scale up their production. Though the advantages of transferring biological features from cells to synthetic nanoparticles for drug delivery purposes have recently been reported, a standardizable, batch‐to‐batch consistent, scalable, and high‐throughput assembly method is required to further develop these platforms. Microfluidics has offered a robust tool for the controlled synthesis of nanoparticles in a versatile and reproducible approach. In this study, the incorporation of membrane proteins within the bilayer of biomimetic nanovesicles (leukosomes) using a microfluidic‐based platform is demonstrated. The physical, pharmaceutical, and biological properties of microfluidic‐formulated leukosomes (called NA‐Leuko) are characterized. NA‐Leuko show extended shelf life and retention of the biological functions of donor cells (i.e., macrophage avoidance and targeting of inflamed vasculature). The NA approach represents a universal, versatile, robust, and scalable tool, which is extensively used for the assembly of lipid nanoparticles and adapted here for the manufacturing of biomimetic nanovesicles.     

Mesenchymal Stromal Cell-Mediated Treatment of Local and Systemic Inflammation through the Triggering of an Anti-Inflammatory Response

The emergence of cell-based therapeutics, specifically the use of mesenchymal stromal/stem cells (MSCs), stands to significantly affect the future of targeted drug delivery technologies. MSCs represent a unique cell type, offering more than only regenerative potential but also site-specific inflammatory targeting and tissue infiltration. In this study, a versatile multicomponent delivery platform, combining MSC tropism with multistage nanovector (MSV)-mediated payload delivery, is debuted. It is demonstrated that the incorporation of drug-loaded MSVs bestows MSCs with the ability to transport anti-inflammatory payloads, achieving a fivefold increase in payload release without negatively impacting cellular functions, viability, extravasation, and inflammatory homing. When incorporated within MSCs, MSVs avoid rapid sequestration by filtering organs and conserve a 15-fold increase in local inflammatory targeting compared to healthy ears. Furthermore, this MSC-mediated MSV platform (M&Ms) rapidly triggers a 4.5-fold reduction of local inflammation compared to free drug and extends survival to 100% of treated mice in a lethal model of systemic inflammation.