LivingLabHospital_Interpreted Location event logs

This event log consists of the interpreted location data of patients within a hospital facility. This real-life event log is gathered by using Real-time Location Systems (RTLS)

LivingLabHospital_Interpreted Location event logs

This event log consists of the interpreted location data of patients within a hospital facility. This real-life event log is gathered by using Real-time Location Systems (RTLS).THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

The Effect of Dietary Constituents on Regulation of Epigenetic Changes in Cancer

BACKGROUND AND OBJECTIVE: The term “epigenetic” refers to all non-heritable and reversible changes in the expression of a gene that does not cause a change in the DNA sequence. The most important epigenetic mechanisms associated with gene expression include DNA methylation, histone modifications, and suppression of gene expression with RNA. Considering the reversibility of epigenetic changes, it seems that this feature can be influenced by dietary constituents and thus, we can prevent the spread of certain cancers by controlling the diet. The purpose of this study is to investigate the effects of food on the prevention of common cancers and the mechanisms involved in cellular activities based on recent studies and the compilation of their results. METHODS: In this review article, we searched Pubmed and Elsevier databases using certain keywords such as “epigenetics”, “cancer” and “nutrition” and articles related to the effects of epigenetics on cancer and dietary constituents were evaluated. FINDINGS: Of 439 studies found in the search engines between 1997 and 2016, 64 articles were selected and their results indicated that many of the active components in the diet will inhibit the incidence of cancer through DNA methylation mechanisms, histone modifications, and miRNA. CONCLUSION: The anticancer effect of the active compounds in the diet on specific epigenetic changes can be used as a special and unidentified mechanism for preventing cance

New records of the subfamily Oscinellinae (Diptera; Chloropidae) from Iran

A faunistic study of the subfamily Oscinellinae was investigated in Shabestar region (East Azarbaijan province, Iran) during 2013-2014. Four species Aphanotrigonum bicolor Nartshuk, 1964, Dicraeus sabroskyi Beschovski, 1977, Lasiambia albidipennis (Strobl, 1893) and Lasiambia coxalis (von Roser, 1840) are newly recorded from Iran. In addition, one genus Lasiambia Sabrosky, 1941 is recorded for the first time from Iran. The diagnostic characters and photos of the recorded species are provided

Financial market images: A practical approach owing to the secret quantum potential

We unveil secrets of the financial markets that prove very effective on shaping their future. The question to be answered is why instant high amplitude variations of price returns are never experienced. We deduce that the key to shedding light on this issue is the quantum potential whose existence is due to the entanglement between a price and its prior-day price. Implementing the quantum potential would enable us to sketch a robust pattern for the price return fluctuations of a financial market. As such, we model real markets by the Bohmian quantum approach bearing a quantum potential that guides the price return fluctuations. Strictly speaking, we show that this quantum potential confines the price returns of real markets in a scale-invariant manner, which proves to be different for emerging and efficient markets. By modelling the oil and gold markets we see that a 20 day time scale is enough to exhibit the class difference of the scaling behaviour. The appearance of this characteristic time scale lies in the fact that oil and gold markets are influenced by short- and long-term programs. This statement is supported by the fact that short-term programs are due to the market supply and demand, while long-term programs are due to political and natural factors. In short times the potential is very efficiently controlling the market showing a big margin against a white noise, while in the long run the potential is not as efficient as before tending to look more like a white noise. This is due to the widening of the boundaries disabling the quantum potential efficiency on controlling the market, and hence justifying the model

Identification of common key genes and pathways between type 1 diabetes and multiple sclerosis using transcriptome and interactome analysis

Purpose: Type 1 diabetes (T1D) and multiple sclerosis (MS) are classified as T cell-mediated autoimmune diseases. Although convergent evidence proposed common genetic architecture for autoimmune diseases, it remains a challenge to identify them. This study aimed to determine common gene signature and pathways in T1D and MS via systems biology approach. Methods: Gene expression profiles of peripheral blood mononuclear cells (PBMCs) and pancreatic-β cells in T1D as well as PBMCs and cerebrospinal fluid (CSF) in MS were analyzed in our previous published data, and differential expressed genes were integrated with protein�protein interactions data to construct Query�Query PPI (QQPPI) networks. In this study, QQPPI networks were further analyzed to investigate more central genes, functional modules and complexes shared in T1D and MS progression. Lastly, the interaction of common genes with drugs was also explored. Results: Several cytokines such as IL-23A, IL-32, IL-34, and IL-37 tend to be differentially expressed in both diseases. In addition, PSMA1, MYC, SRPK1, YBX1, HNRNPM, NF-κB2, IKBKE, RAC1, FN1, ARRB2, ESR1, HSP90AB1, and PPP1CA were common high central genes in QQPPI networks corresponding to each disease. Proteasome, spliceosome, immune responses, apoptosis, cellular communication/signaling transduction mechanism, interaction with environment, and activity of intercellular mediators were shared biological processes in T1D and MS. Finally, azathioprine, melatonin, resveratrol, and geldanamycin identified as prioritized drugs for the treatment of patients with T1D and MS. Conclusions: This study represented novel key genes and pathways shared between T1D and MS, which may facilitate the identification of potential therapeutic targets in these diseases. © 2020, Springer Science+Business Media, LLC, part of Springer Nature