Factors influencing cloud computing adoption in small medium enterprises

Cloud computing offers information technology (IT) infrastructure, platform, and various applications via the Internet with minimum start-up cost, network access to a shared pool of configurable computing resources, and pay-per-use services. Although the potential for cloud computing is evident and much of the extant research has been carried out on cloud computing adoption, empirical studies on the factors that influence cloud computing adoption in the Malaysian Small and Medium Enterprises (SMEs) are, however, lacking. The objective of this study was to examine the factors that influence cloud computing adoption by the SMEs. We conducted a quantitative survey-based study to examine the relationship between perceived benefits, top management support, IT resources, external pressure, and cloud computing adoption. A free-form comment provided at the end of each section of the survey questionnaire was treated as qualitative data. We find that IT resources and external pressure significantly influence cloud computing adoption. Nonetheless, there is not enough evidence to support perceived benefits and top management support as significant factors of cloud computing adoption

A systematic reading in statistical translation: From the statistical machine translation to the neural translation models

Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.Thus, the eagerness of exploring new possible ways to improve machine translation was always the matter for researchers in the field. Automatic translation as a key application in the natural language processing domain has developed many approaches, namely statistical machine translation and recently neural machine translation that improved largely the translation quality especially for Latin languages.They have even made it possible for the translation of some language pairs to approach human translation quality.In this paper, we present a survey of the state of the art of statistical translation, where we describe the different existing methodologies, and we overview the recent research studies while pointing out the main strengths and limitations of the different approaches

A SYSTEMATIC READING IN STATISTICAL TRANSLATION: FROM THE STATISTICAL MACHINE TRANSLATION TO THE NEURAL TRANSLATION MODELS.

Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades. Thus, the eagerness of exploring new possible ways to improve machine translation was always the matter for researchers in the field. Automatic translation as a key application in the natural language processing domain has developed many approaches, namely statistical machine translation and recently neural machine translation that improved largely the translation quality especially for Latin languages. They have even made it possible for the translation of some language pairs to approach human translation quality. In this paper, we present a survey of the state of the art of statistical translation, where we describe the different existing methodologies, and we overview the recent research studies while pointing out the main strengths and limitations of the different approaches.

Antipsychotic drugs as a contributing factor of pulmonary embolism: A report of 4 cases

Pulmonary embolism is the third leading cause of cardiovascular death in the world after stroke and heart attack; several factors have been identified, and it has been reported that antipsychotic drugs increase the risk of pulmonary embolism. It is a brief communication reporting the case of 4 patients under antipsychotic drugs, were hospitalized in the intensive care unit of cardiology in Mohammed VI hospital center for the management of pulmonary embolism. All the etiological investigations performed including SARS COV2 viral serologies with PCR, tumor markers, chest-abdomen-pelvis CT angiogram scan, phthisiology, thrombophilia tests, and lower limbs echo Doppler returned without any notable findings, and the evolution was positive after anticoagulation and stopping antipsychotics