Global maps of soil temperature.

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km <sup>2</sup> resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km <sup>2</sup> pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Context-aware similarity of trajectories

The movement of animals, people, and vehicles is embedded in a geographic context. This context influences the movement. Most analysis algorithms for trajectories have so far ignored context, which severely limits their applicability. In this paper we present a model for geographic context that allows us to integrate context into the analysis of movement data. Based on this model we develop simple but efficient context-aware similarity measures. We validate our approach by applying these measures to hurricane trajectories. Keywords: Movement data – geographic context – similarity measure

Evolution strategies for optimizing rectangular cartograms

A rectangular cartogram is a type of map where every region is a rectangle. The size of the rectangles is chosen such that their areas represent a geographic variable such as population or GDP. In recent years several algorithms for the automated construction of rectangular cartograms have been proposed, some of which are based on rectangular duals of the dual graph of the input map. In this paper we present a new approach to efficiently search within the exponentially large space of all possible rectangular duals. We employ evolution strategies that find rectangular duals which can be used for rectangular cartograms with correct adjacencies and (close to) zero cartographic error. This is a considerable improvement upon previous methods that have to either relax adjacency requirements or deal with larger errors. We present extensive experimental results for a large variety of data sets. Keywords: Rectangular cartogram – evolution strategy – regular edge labelin

Cloning, Soluble Expression and Purification of High Yield Recombinant hGMCSF in Escherichia coli

Expression of human granulocyte macrophage colony stimulating factor (hGMCSF), a cytokine of therapeutic importance, as a thioredoxin (TRX) fusion has been investigated in Escherichia coli BL21 (DE3) codon plus cells. The expression of this protein was low when cloned under the T7 promoter without any fusion tags. High yield of GMCSF was achieved (~88 mg/L of fermentation broth) in the shake flask when the gene was fused to the E. coli TRX gene. The protein was purified using a single step Ni2+-NTA affinity chromatography and the column bound fusion tag was removed by on-column cleavage with enterokinase. The recombinant hGMCSF was expressed as a soluble and biologically active protein in E. coli, and upon purification, the final yield was ~44 mg/L in shake flask with a specific activity of 2.3 × 108 U/mg. The results of Western blot and RP-HPLC analyses, along with biological activity using the TF-1 cell line, established the identity of the purified hGMCSF. In this paper, we report the highest yield of hGMCSF expressed in E. coli. The bioreactor study shows that the yield of hGMCSF could be easily scalable with a yield of ~400 mg/L, opening up new opportunities for large scale production hGMCSF in E. coli

Psychosocial stress and well-being in patients presenting with acute myocardial infarction in a tertiary care center

Background: Psychosocial factors such as stress have been previously implicated as a risk factor for cardiovascular diseases (CVDs). There is little evidence regarding the prevalence of stress among patients with acute myocardial infarction (AMI). Methods: A total of 903 patients with AMI enrolled in the North Indian ST-Segment Elevation Myocardial Infarction (NORIN-STEMI) registry were included in this study. Perceived stress in these subjects was evaluated using the Perceived Stress Scale-10 questionnaire while the World health Organization (WHO-5) Well-being Index was used to evaluate psychological well-being. All these patients were followed up for one month and major adverse cardiac events (MACE) were determined. Results: A majority of patients with AMI had either severe (478 [52.9%]) or moderate stress (347 [38.4%]) while low stress levels were observed in 78 [8.6%] patients. Additionally, most of the patients with AMI (478 [53%]) had WHO-5 well-being index <50%. Subjects with severe stress were younger (50.86 ± 13.31; P < 0.0001), more likely to be males (403 [84.30%]; P = 0.027), were less likely to have optimal level of physical activity (P < 0.0001) and had lower WHO-5 well-being score (45.54 ± 1.94%; P < 0.0001) as compared to those with low and moderate stress levels. On 30-days follow-up, subjects with moderate/severe stress had higher MACE however, the difference was non-significant (2.1% vs 1.04%; P = 0.42). Conclusion: A high prevalence of perceived stress and low well-being index was observed in patients presenting with AMI in India