Examining the link between social media uses and gratifications, and political tolerance and dogmatism

The ability of social media to enable new uses and gratifications, and to shape political behavior, has not been discussed adequately in the social media literature. Drawing on a previous study by the authors that converts a framework by Sundar and Limperos (2013) into a social media uses and gratifications scale, this article examines the association between social media uses and gratifications, and political dogmatism and tolerance. A sample of 313 American citizens was used to develop two discriminant models. The models showed that social media uses and gratifications can be used to classify users with high or low levels of political dogmatism and tolerance with more than 70 percent accuracy. The results also indicate that while some gratifications, such as filtering, are common to individuals with high dogmatism as well as users with high tolerance, there were differences in the perception of uses and gratifications between these two groups. This shows that social media are open platforms that do not gratify only positive, open‐minded users

Development of an integrated BIM and lean maturity model

The level of Building Information Modelling (BIM) and Lean adoption has been rapidly increased. The benefits of integrating these two approaches have also been identified. However, to achieve the maximum benefits of the interaction of these two approaches, there needs to be assessment tools to analyse their performances collectively. Because understanding and analysing the performances of these approaches would provide value to the entire project in terms of lessons learned, more value generation, and continuous improvements. Therefore, this paper aims to propose an integrated BIM and Lean Maturity Model based on reviewing the literature around current maturity models. This paper proposes an Integrated BIM and Lean Maturity Model named “IDEAL” which could serve as a basis in terms of assessing the performances of the projects implementing BIM and Lean together

How BIM-lean integration enhances the information management process in the construction design

The construction industry faces significant challenges due to insufficient processes. Design phase is a key process of construction project lifecycle in which many problems and challenges occur. Most of the issues within the design process are mainly due to poor information management process. Therefore, it is important to adopt new innovative technologies and processes to improve information management. Over the last decade, the number of projects implementing innovative and technological processes such as BIM and Lean has been increased. However, rather applying BIM and Lean independently, integration of BIM features with lean principles would bring more benefits to the design process in terms of improving information management. This paper studies the potential benefits of integrating BIM and Lean to improve information management in terms of reducing construction design problems associated with information management challenges

Regular Expression Matching and Operational Semantics

Many programming languages and tools, ranging from grep to the Java String library, contain regular expression matchers. Rather than first translating a regular expression into a deterministic finite automaton, such implementations typically match the regular expression on the fly. Thus they can be seen as virtual machines interpreting the regular expression much as if it were a program with some non-deterministic constructs such as the Kleene star. We formalize this implementation technique for regular expression matching using operational semantics. Specifically, we derive a series of abstract machines, moving from the abstract definition of matching to increasingly realistic machines. First a continuation is added to the operational semantics to describe what remains to be matched after the current expression. Next, we represent the expression as a data structure using pointers, which enables redundant searches to be eliminated via testing for pointer equality. From there, we arrive both at Thompson's lockstep construction and a machine that performs some operations in parallel, suitable for implementation on a large number of cores, such as a GPU. We formalize the parallel machine using process algebra and report some preliminary experiments with an implementation on a graphics processor using CUDA.Comment: In Proceedings SOS 2011, arXiv:1108.279

Socioeconomic consequences of the COVID‐19 pandemic for people who use drugs

The COVID-19 pandemic triggered widespread socioeconomic hardship, disproportionately impacting disadvantaged populations. People who use illicit drugs are more likely to experience unemployment, homelessness, criminal justice involvement and poorer health outcomes than the general community, yet little is known about the socioeconomic impacts of the pandemic on their lives. To address this gap in the literature, we conducted in-depth interviews with 76 participants from two cohort studies of people who use illicit drugs (people who inject drugs and/or use methamphetamine) in Victoria, Australia. Findings support claims that pandemic-related Social Security supplementary payments and initiatives to reduce homelessness, although not systemically transforming people's lives, produced temporary relief from chronic socioeconomic hardship. Results also indicate how temporary interruptions to drug supply chains inflated illicit drug prices and produced adverse consequences such as financial and emotional stress, which was exacerbated by drug withdrawal symptoms for many participants. Furthermore, increased community demand for emergency food and housing support during the pandemic appeared to reduce participants' access to these services. Our findings about the unintended consequences of pandemic responses on the socioeconomic lives of a group of people who use illicit drugs provide insights into and opportunities for policy reform to redress their entrenched disadvantage

Brassinosteroids participate in the control of basal and acquired freezing tolerance of plants

Brassinosteroids (BRs) are growth-promoting plant hormones that play a role in abiotic stress responses, but molecular modes that enable this activity remain largely unknown. Here we show that BRs participate in the regulation of freezing tolerance. BR signaling-defective mutants of Arabidopsis thaliana were hypersensitive to freezing before and after cold acclimation. The constitutive activation of BR signaling, in contrast, enhanced freezing resistance. Evidence is provided that the BR-controlled basic helix–loop–helix transcription factor CESTA (CES) can contribute to the constitutive expression of the C-REPEAT/DEHYDRATION-RESPONSIVE ELEMENT BINDING FACTOR (CBF) transcriptional regulators that control cold responsive (COR) gene expression. In addition, CBF-independent classes of BR-regulated COR genes are identified that are regulated in a BR- and CES-dependent manner during cold acclimation. A model is presented in which BRs govern different cold-responsive transcriptional cascades through the posttranslational modification of CES and redundantly acting factors. This contributes to the basal resistance against freezing stress, but also to the further improvement of this resistance through cold acclimation

IMPACT OF MACROECONOMIC VARIABLES ON STOCK MARKET PERFORMANCES: EVIDENCE FROM SRI LANKA

After eradicating 30 years of war, Sri Lanka has been rising like a phoenix bird rises from the ashes of its predecessor. With the golden opportunity to experience an impressive development within almost all the sectors inside the country, Colombo stock exchange (CSE) was labeled as the world’s best performing stock exchange according to Bloomberg in 2010. Unfortunately, it did not last longer. According to an analysis of Bespoke investment group in 2012, Colombo stock exchange became the second worst performing stock exchange ahead of Dhaka exchange in Bangladesh.The aim of this paper is to measure the impact of macroeconomic variables on the all share price index (ASPI) of CSE in Sri Lanka. Monthly data collected from publication of Central Bank of Sri Lanka from 2006 to 2016 were employed. In the model specification, two dummy variables were included to test the impact from civil war prevailed in the country and global financial crisis on share prices and the parameters were estimated using Ordinary Least Square (OLS) method. The results indicate that macroeconomic variables have an overall impact towards ASPI of Sri Lanka. Interest rate, industrial production index and civil war affected negatively on ASPI while US Dollar exchange rate and real GDP growth rate reacted positively on the all share price index. Importantly, global financial crisis positively affected the all share price index in Sri Lanka, which is contradictory to the experiences of developed countries. Study concluded that even though there is an uncertainty prevailing within external world, there is a tendency of attracting foreign investment towards capital market when a country is having a positive condition like Sri Lanka ending thirty years of war. Further, it reveals that inflation rate and money supply growth rate does not have a significant impact on the share price index of Sri Lanka. These findings can be significantly incorporated in government policy making which will be aimed at creating a strong capital market, investment decisions of local and foreign investor, stock market regulating authorities and financial analysts who develop forecasting models with reference to share price indexes.Keywords: Macroeconomic Impact, Colombo Stock Exchange, All share price index, Ordinary Least Square Method, Sri Lank

Evaluating the efficacy of different DEMs for application in lood frequency and risk mapping of the Indian Coastal River Basin

Floods are among the most occurring natural hazards that cause severe damage to infrastructure and loss of life. In India, southern Gujarat is affected during the monsoon season, facing multiple flood events in the Damanganga basin. As the basin is one of the data-scarce regions, evaluating the globally available dataset for flood risk mitigation studies in the Damanganga basin is crucial. In the present study, we compared four open-source digital elevation models (DEMs) (SRTM, Cartosat-1, ALOS-PALSAR, and TanDEMX) for hydrodynamic (HD) modeling and flood risk mapping. The simulated HD models for multiple flood events using HEC-RAS v6.3 were calibrated by adopting different roughness coefficients based on land-use land cover, observed water levels at gauge sites, and peak flood depths in the flood plain. In contrast to the previous studies on the Purna river basin (the neighboring basin of Damanganga), the present study shows that Cartosat-1 DEM provides reliable results with the observed flood depth. Furthermore, the calibrated HD model was used to determine the flood risk corresponding to 10, 25, 50, and 100-year return period floods calculated using Gumbel’s extreme value (GEV) and log-Pearson type III (LP-III) distribution techniques. Comparing the obtained peak floods corresponding to different return periods with the observed peak floods revealed that the LP-III method gives more reliable estimates of flood peaks for lower return periods, while the GEV method gives comparatively more reliable estimates for higher return period floods. The study shows that evaluating different open-source data and techniques is crucial for developing reliable flood mitigation plans with practical implications