Analysis of time series forecasting in application to solar energy harvest

The promised future applications in solar energy harvest have been remarkably recognized. However, the hourly forecasting of normal solar irradiance (NSI) outputs is considered a problem due to the dynamic nature of meteorological information not only in a day but also across days. The thesis proposed three neural network models including a dense layer without a hidden layer (DNN_h0), a dense neural network with two hidden layers (DNN_h2), a dense neural network with two hidden layers associated with one intermediate metrological feature (air temperature: T) (DNN_h2T), and dense neural network with two hidden layers associated with 7 intermediate metrological features (DNN_h2F). These models would be used to forecast an hourly prediction of normal solar irradiance (NSI) across an entire day. As well as, we proposed two configurations to represent our datasets: FTC (sine-cosine) and 1H (one-hot) encodings. In addition, we used metrological features such as air temperature T and others to determine the effectiveness of a model’s performance in terms of mean absolute error (MAE). We conducted two groups of experiments: single-step and multi-step prediction models by using one real-world dataset (NREL). As a result, the comparison is revealed that the (NSI) has an acceptable model performance in both FTC and 1H encodings for the multi-step models by using an intermediate metrological feature: air temperature T in the (DNN_h2T) model. Whereas the single-step model (DNN_h0) has shown slightly acceptance to find a well performance to predict the (NSI), while the (DNN_h2) model shows a significant (MAE) values in both encodings

Phrasal syntactic complexity measures in linguistics research articles written by Iraqi and English L1 writers

Complex phrasal structures are considered the distinctive features in the academic writing of high-proficiency writers. The use of more complex phrasal structures increases the quality of the written text. Based on the contrastive rhetorical theory of writing, writers are required to use linguistic components in a specific way that meets the genre of writing. This study aims to investigate and compare the phrasal syntactic complexity measures of the texts of linguistics research articles written by Iraqi and English L1 writers. It identifies if there is a significant difference between the writing of Iraqi and English L1 writers in terms of using phrasal syntactic structures. This study utilised the corpus-based method to analyse linguistics research articles written by Iraqi and English L1 writers and published from 2016 to 2020. Twelve phrasal syntactic complexity measures were analysed by using the automatic analyser TAASSC. This study revealed a significant difference between the writing of Iraqi and English L1 writers in terms of the analysed phrasal complexity measures. Utilising the complex phrasal structures in Iraqi research articles would significantly contribute to the quality and publication acceptance in reputable international journals. This study is therefore significant to guide Iraqi researchers to improvise their academic writing skills for publication purposes

Systematic Review of Clinician-Reported Barriers to Provision of Smoking Cessation Interventions in Hospital Inpatient Settings

Background: Although the hospital inpatient setting arguably provides an ideal opportunity to engage patients in smoking cessation interventions, this is done infrequently. We therefore aimed to systematically review the perceived barriers to the implementation of smoking cessation interventions in the hospital inpatient setting. Methods: A systematic literature search was conducted specific to hospital-based healthcare workers\u27 perceived barriers to implementing smoking cessation interventions. Reported barriers were categorised using the capability, opportunity and motivation (COM-B) framework. Results: Eighteen studies were selected for inclusion, which consisted of cross-sectional surveys and interviews. The most commonly identified barrier in capability was lack of knowledge (56% of studies); in Opportunity, it was a lack of time (78%); while in Motivation, a lack of perceived patient motivation to quit smoking (44%). Seventeen other barriers were also endorsed, but less frequently. Conclusion: Healthcare workers report a plethora of barriers to providing smoking cessation interventions in hospital settings, which cover all aspects of the COM-B framework. These impediments need to be addressed in a multidisciplinary approach, at clinical, educational, and administrative levels, to improve intervention provision