A Humanities Based Approach to Formally Defining Information through Modelling

A traditional, and reasonable, way of thinking about the digital and modelling within the context of the humanities is to begin with humanistic inquiry and then explore the world of information processing and management through digital technologies, such as virtual reality, computers, smartphones, and tablets. This chain of thought revolves around the idea that information is part of the world of computing with its technological methods and marvels. However, through traditional humanities topics such as language and sensory arts, we claim that the idea of information and information processing is part and parcel of the humanistic tradition. Seeing the world as information is a matter of interpretation, and not of technologically-motivated implementation, even though such implementation provides us with efficient tools for managing information. Written and pictorial languages are a basis for formalizing information and models, independent of technology

A fast hybrid time-synchronous/event appraach to parallel discrete event simulation of queuing networks

The trend in computing architectures has been toward multicore central processing units (CPUs) and graphics processing units (GPUs). An affordable and highly parallelizable GPU is practical example of Single Instruction, Multiple Data (SIMD) architectures oriented toward stream processing. While the GPU architectures and languages are fairly easily employed for inherently time-synchronous based simulation models, it is less clear if or how one might employ them for queuing model simulation, which has an asynchronous behavior. We have derived a two-step process that allows SIMD-style simulation on queuing networks, by initially performing SIMD computation over a cluster and following this research with a GPU experiment. The two-step process simulates approximate time events synchronously and then reduces the error in output statistics by compensating for it based on error analysis trends. We present our findings to show that, while the outputs are approximate, one may obtain reasonably accurate summary statistics quickly.

Exploring the modelling and simulation knowledge base through journal co-citation analysis

“The final publication is available at Springer via http://dx.doi.org/10.1007/s11192-013-1136-zCo-citation analysis is a form of content analysis that can be applied in the context of scholarly publications with the purpose of identifying prominent articles, authors and journals being referenced to by the citing authors. It identifies co-cited references that occur in the reference list of two or more citing articles, with the resultant co-citation network providing insights into the constituents of a knowledge domain (e.g., significant authors and papers). The contribution of the paper is twofold; (a) the demonstration of the added value of using co-citation analysis, and for this purpose the underlying dataset that is chosen is the peer-reviewed publication of the Society for Modeling and Simulation International (SCS)—SIMULATION; (b) the year 2012 being the 60th anniversary of the SCS, the authors hope that this paper will lead to further acknowledgement and appreciation of the Society in charting the growth of Modeling and Simulation (M&S) as a discipline

SCS: 60 years and counting! A time to reflect on the Society's scholarly contribution to M&S from the turn of the millennium.

The Society for Modeling and Simulation International (SCS) is celebrating its 60th anniversary this year. Since its inception, the Society has widely disseminated the advancements in the field of modeling and simulation (M&S) through its peer-reviewed journals. In this paper we profile research that has been published in the journal SIMULATION: Transactions of the Society for Modeling and Simulation International from the turn of the millennium to 2010; the objective is to acknowledge the contribution of the authors and their seminal research papers, their respective universities/departments and the geographical diversity of the authors' affiliations. Yet another objective is to contribute towards the understanding of the overall evolution of the discipline of M&S; this is achieved through the classification of M&S techniques and its frequency of use, analysis of the sectors that have seen the predomination application of M&S and the context of its application. It is expected that this paper will lead to further appreciation of the contribution of the Society in influencing the growth of M&S as a discipline and, indeed, in steering its future direction

A study of the dissolution of atmospherically derived trace metals into North Atlantic seawater

Chapter 3 has been used to create a manuscript, which was published in Global Biogeochemical Cycles in 2014, see reference: Fishwick, M. P., P. N. Sedwick, M. C. Lohan, P. J. Worsfold, K. N. Buck, T. M. Church, and S. J. Ussher (2014), The impact of changing surface ocean conditions on the dissolution of aerosol iron, Global Biogeochemical Cycles, 28, doi:10.1002/2014GB004921. Chapters 4 and 5 are currently being used to create manuscripts for publication.The aim of this study was to investigate the factors that affect the dissolution of a suite of trace metals from aerosols into seawater from wet and dry deposition, with a focus on important trace metals: manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu) and lead (Pb). To this end, aerosol and rainwater samples were collected from Tudor Hill (Bermuda) and Penlee Point (Cornwall) atmospheric observatories and surface seawater samples were collected from the Sargasso Sea and the Celtic Sea. These representative aerosol, rainwater and seawater samples were used in aerosol leaching and rainwater mixing experiments, which simulated the processes of mixing and trace metal dissolution following wet and dry deposition as closely as possible within the laboratory. Key variables were changed to investigate the effect of aerosol source/composition, seawater temperature, pH, dissolved oxygen concentration and organic ligand amendments on aerosol and rainwater trace metal dissolution. Results for aerosol leaching experiments revealed that changes to key physico-chemical conditions had little effect on the amount of Mn, Fe, Co, Ni and Pb leached from aerosols and therefore plausible future changes in ocean surface temperature, pH and oxygenation are unlikely to affect the flux of these important trace metals to surface waters. Conversely, aerosol source and composition had a significant effect on the dissolution of aerosol Fe, Co and Pb, with the most anthropogenically influenced aerosol samples displaying the highest solubilities. Therefore, future changes in land use and fossil fuel combustion are likely to affect the flux of these metals to the surface ocean. Fractional solubilities were in the range of 50 – 104% for Mn, 0.3 – 3.2% for Fe, 29 – 58% for Co, 40 – 85% for Ni and 67 – 112% for Pb. In addition, novel empirical relationships were found between the fractional solubilities of Fe, Co and Pb and enrichment factors for antimony, vanadium, Ni and Cu. This suggests that these fractional solubilities in seawater could be predicted using only total aerosol trace metal concentrations. The use of ultrafiltration provided unique insight into the size fractionation (colloidal 0.02 – 0.4 μm; soluble < 0.02 μm) of dissolved aerosol trace metals and showed Fe and Pb were mostly colloidal (77 – 98% colloidal), Mn and Co were mostly soluble (0 – 48% colloidal) and Ni showed a mixed profile (6 – 58% colloidal) when released from aerosols into ambient seawater. However, in the presence of a sufficient concentration of strong organic ligands the majority colloidal Fe was converted to soluble Fe (up to 100% soluble). Some of these organic ligands were also able to increase the soluble fraction of dissolved aerosol Mn. Similarly, the presence of organic ligands in rainwater maintained Mn, Fe, Co, Cu and Pb in the dissolved phase following delivery by rain into seawater. Rainwater ligands had no effect on the typically varied size fractionation profile of Mn, Fe, Co and Cu in rainwater mixed with seawater, UV-irradiation of rainwater, however, shifted the size fractionation of Pb in rainwater/seawater mixtures from 80 – 100% colloidal to 13 – 63% soluble, indicating that Pb-binding rainwater ligands are either colloidal or attached to colloidal matter. These findings highlight the importance of organic ligands in rainwater and seawater for retaining trace metal micronutrients and toxicants in the surface ocean, with implications for primary production.Natural Environment Research Council (NERC

Recurrent pregnancy loss is associated with a pro-senescent decidual response during the peri-implantation window

During the implantation window, the endometrium becomes poised to transition to a pregnant state, a process driven by differentiation of stromal cells into decidual cells (DC). Perturbations in this process, termed decidualization, leads to breakdown of the feto-maternal interface and miscarriage, but the underlying mechanisms are poorly understood. Here, we reconstructed the decidual pathway at single-cell level in vitro and demonstrate that stromal cells first mount an acute stress response before emerging as DC or senescent DC (snDC). In the absence of immune cell-mediated clearance of snDC, secondary senescence transforms DC into progesterone-resistant cells that abundantly express extracellular matrix remodelling factors. Additional single-cell analysis of midluteal endometrium identified DIO2 and SCARA5 as marker genes of a diverging decidual response in vivo. Finally, we report a conspicuous link between a pro-senescent decidual response in peri-implantation endometrium and recurrent pregnancy loss, suggesting that pre-pregnancy screening and intervention may reduce the burden of miscarriage

Web-Based Simulation: Evolution or Revolution?

ACM Transactions on Modeling and Computer Simulation, Vol. 10, No. 1, January 2000, Pages 3–17

Impact of sitagliptin on endometrial mesenchymal stem-like progenitor cells : a randomised, double-blind placebo-controlled feasibility trial

Background: Recurrent pregnancy loss (RPL) is associated with the loss of endometrial mesenchymal stem-like progenitor cells (eMSC). DPP4 inhibitors may increase homing and engraftment of bone marrow-derived cells to sites of tissue injury. Here, we evaluated the effect of the DPP4 inhibitor sitagliptin on eMSC in women with RPL, determined the impact on endometrial decidualization, and assessed the feasibility of a full-scale clinical trial. Methods: A double-blind, randomised, placebo-controlled feasibility trial on women aged 18 to 42 years with a history of 3 or more miscarriages, regular menstrual cycles, and no contraindications to sitagliptin. Thirty-eight subjects were randomised to either 100 mg sitagliptin daily for 3 consecutive cycles or identical placebo capsules. Computer generated, permuted block randomisation was used to allocate treatment packs. Colony forming unit (CFU) assays were used to quantify eMSC in midluteal endometrial biopsies. The primary outcome measure was CFU counts. Secondary outcome measures were endometrial thickness, study acceptability, and first pregnancy outcome within 12 months following the study. Tissue samples were subjected to explorative investigations. Findings: CFU counts following sitagliptin were higher compared to placebo only when adjusted for baseline CFU counts and age (RR: 1.52, 95% CI: 1.32–1.75, P<0.01). The change in CFU count was 1.68 in the sitagliptin group and 1.08 in the placebo group. Trial recruitment, acceptability, and drug compliance were high. There were no serious adverse events. Explorative investigations showed that sitagliptin inhibits the expression of DIO2, a marker gene of senescent decidual cells. Interpretation: Sitagliptin increases eMSCs and decreases decidual senescence. A large-scale clinical trial evaluating the impact of preconception sitagliptin treatment on pregnancy outcome in RPL is feasible and warranted. Funding: Tommy's Baby Charity. Clinical trial registration: EU Clinical Trials Register no. 2016-001120-54