Classification of Risk in Software Development Projects using Support Vector Machine

Traditionally, the lack of confidence in the system life cycle is expressed using the concept of risk. Nowadays, software development projects face various risks. However, the estimation and classification of risk, increased estimation of accuracy and reduced of uncertainty ultimately improve project outcomes. Therefore, in this paper, a Support Vector Machine (SVM) is used to model risk classification in software development projects. The proposed algorithm is compared with other methods in the literature such as Self Organizing Map (SOM) and K-Means based on measures of Classification Accuracy Rate (CAR) and Area Under Curve (AUC). According to the results, the proposed method exhibits superior CAR and AUC

Lake Neor reveals how mountain vegetation responded to 7000 years of hydroclimate variability in northwestern Iran

International audiencePalynological and geochemical analyses provide valuable information about modern and past climatic regimes and vegetation. The impact of climate and humans on past vegetation in the semi-arid areas of northwestern Iran has received increased interest in the wake of warming temperatures in the Middle East. Palynological and down-core XRF elemental abundances from a peat core from Lake Neor enabled a reconstruction of vegetational changes of the past 7000 years over the highlands of northwestern Iran. Periods of increased arboreal pollen (AP) types and high (Artemisia + Poaceae)/Chenopodiaceae ratios along with low titanium abundances, high percentages of total organic carbon, more negative δD values, and higher carbon accumulation rates suggest a relatively wet climate. These conditions have persisted during the periods 6700-6200, 5200-4450 and 3200-2200 cal a BP. The overall low AP values, substantial rise of Chenopodiaceae, high Ti abundances and low values of palaeo-redox proxies, are all evidences of a drier climate, as has been reconstructed for the periods 6200-5200 and 4030-3150 cal a BP and the last 2200 years. An important feature of the last centuries is the increase of anthropogenic and pastoral indicator pollen types. Our results may provide basic data to predict future trends in vegetation dynamics under future climate change in western Asia

SARS-Cov-2 and COVID-19, Basic and Clinical Aspects of the Human Pandemic: A Review

In the last two decades, we have witnessed three major epidemics of the coronavirus human disease namely, severe acute respiratory syndrome (SARS), Middle Eastern respiratory syndrome, and more recently an ongoing global pandemic of coronavirus disease 2019 (COVID-19). Iran, a country of nearly 84 million, in the Middle East, severely involved with the COVID-19 disease. A documented multidimensional approach to COVID-19 disease is therefore mandatory to provide a well-balanced platform for the concerned medical community in our county and beyond. In this review, we highlight the disease status in Iran and attempt to provide a multilateral view of the fundamental and clinical aspects of the disease including the clinical features of the confirmed cases, virology, pathogenesis, epidemiology, and laboratory methods needed for diagnosis