In light of increasing demand for energy consumption due to life complexity and its requirements, which reflected on architecture in type and size, Environmental challenges have emerged in the need to reduce emissions and power consumption within the construction sector. Which urged designers to improve the environmental performance of buildings by adopting new design approaches, Invest digital technology to facilitate design decision-making, in short time, effort and cost. Which doesn’t stop at the limits of acceptable efficiency, but extends to the level of (the highest performance), which doesn’t provide by traditional approaches that adopted by researchers and local institutions in their studies and architectural practices, limits to assumption of prototypes and their design characteristics to evaluate and select the efficient ones. Without comprehensive coverage to variables range and design possibilities with points of balance between the conflicting influence on performance. Forcing them to shorten, round up and exclude many (values and determinants) to avoid consequent of extra time and effort and the additional costs for performance assessment methods. All due to the cognitive weakness in adopt modern approaches, which become easier for designers to learning and apply. Highlighting (Performance-Based Parametric Design), which achieves this level of performance and avoided all the negative aspects of traditional approaches. Although this approach has been applied in several architecture trends, however, this research will focus on (climate performance and energy consumption). Highlighting a research problem, “lack of cognitive clearness about the nature of adopting parametric approach for performance-based design in order to achieve more efficient designs”. The research will focus on local housing patterns as a simplified model for applying the parametric approach, So the research goal will be “Highlighting and unveiling the nature of the parametric approach and its mechanism in performance-Based Design, to create and optimize design characteristics, towards most efficient designs within the local housing styles”. To achieve this goal was to build a hypothesis “The mechanism of parametric approach Managed to address a conflict influence of design characteristics in building’s thermal and light performance, such as (dimensions, locations orientation of building spaces and windows to wall area ratio). To reach a balancing point between them, for maximum reduction in cooling energy consumption in the summer, while keeping a comfortable level of natural lighting.” The research adopted an applied method to Revealed the parametric design mechanism To represent these characteristics as (parameters) to process and test them within three sequential process, (modeling, simulation and optimization), combined in one digital tool, uses algorithm to select the effective characteristics, that matching the resulted performance with specific criteria determined by the designer. The approach optimizes characteristics of three local housing pattern (Detached, Attached, and courtyard), within local environment, in order to achieve optimal efficient design. Ending with a set of conclusions about the importance and necessity of adopting this new approach within local architectural and environmental practices and studies.
Detecting protein complexes in protein-protein interaction (PPI) networks is a challenging problem in computational biology. To uncover a PPI network into a complex structure, different meta-heuristic algorithms have been proposed in the literature. Unfortunately, many of such methods, including evolutionary algorithms (EAs), are based solely on the topological information of the network rather than on biological information. Despite the effectiveness of EAs over heuristic methods, more inherent biological properties of proteins are rarely investigated and exploited in these approaches. In this paper, we proposed an EA with a new mutation operator for complex detection problems. The proposed mutation operator is formulate
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Background: While warfarin and direct oral anticoagulants (DOACs) are used to manage thromboembolic events, they possess several features that impact adherence. Objective: To assess medication adherence and self-efficacy in patients receiving warfarin or DOAC treatment. Methods: A cross-sectional study was performed at Ibn Al-Bitar Hospital in Baghdad from December 2022 to May 2023 on patients receiving either warfarin or DOACs. The Arabic version of the Adherence to Refills and Medications Scale (ARMS) questionnaire and the Self-Efficacy for Managing Chronic Disease 6-Item Scale (SES6C) questionnaire were used to assess adherence and self-efficacy. Results: 181 patients were enrolled in the study, of whom 56.9% received warfarin an
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Background: Lateral cephalometric radiography is commonly used as a standard tool in orthodontic assessment and treatment planning. This study aimed to determine the tongue and surrounding space area in a sample of Iraqi adults with class I dental and skeletal pattern. Materials and methods: The study included thirty healthy subjects (15 males and 15 females) with an age ranged between 23-34 years and class I dental and skeletal pattern with no history of any sleep related disorders. The assessed cephalometric measurement included length and height of the tongue and position of hyoid bone from cervical line. Descriptive statistics were obtained for the data. Genders difference was evaluated by independent sample t-test. Results: There wer
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Ankylosing spondylitis (AS) represents one kind of advanced arthritis formed via inflammatory stimuli long-term in the spin‘s joints. Interleukin (IL)-29 (interferon- lambda1(IFN- λ1)), interleukin (IL)-28A (interferon- lambda 2 (IFN- λ2)) and interleukin (IL)-28B (interferon- lambda 3(IFN-λ3)) are three interferon lambda (IFN- λs) molecules that have recently been identified as new members of the IFN family. IL-28B expression in ankylosing spondylitis (AS) is not well understood. 150 male healthy controls ((HC) and 160 males with AS as patients group participated in this study. Serum level and gene polymorphism were assessed using an enzyme-linked immunosorbent assay and Sanger sequencing for IL-28B, respectively. The results showed
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The effect of physical and mental health on the feelings of personal welfare are known as health-related quality of life. Infection with hepatitis B virus is a major global health problem. Health-related quality of life was emerged as an important consideration in the care of patients with chronic hepatitis B infection. The aim of the current study was to measure health-related quality of life among a sample of chronic hepatitis B patients in AL-Najaf city/Iraq. The current study was cross-sectional study carried out on (104) already diagnosed chronic viral hepatitis B patients who attended the Gastroenterology and Hepatology Center/Al-Sader Medical City/Najaf during November 2018 to May
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The aim of this work was to develop and validate a rapid and low cost method for estimation of ibuprofen in pharmaceutical suspensions using Reverse-Phase High Performance Liquid Chromatography. The proposed method was conducted and validated according to International Conference on Harmonization (ICH) requirements. The chromatographic parameters were as follows: column of octyldecylsilyl C18 with dimensions (150 × 4.6) mm, mobile phase composed of acetonitrile with phosphoric acid with a ratio of 50 to 50 each using isocratic mode, flow rate of 1.5 mL/min and injection volume of 5 μL. The detection was carried out using UV detector at 220 nm. The method was validated and showed short retention time for ibuprofen peak at 7.651 min, wit
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In this article, Convolution Neural Network (CNN) is used to detect damage and no damage images form satellite imagery using different classifiers. These classifiers are well-known models that are used with CNN to detect and classify images using a specific dataset. The dataset used belongs to the Huston hurricane that caused several damages in the nearby areas. In addition, a transfer learning property is used to store the knowledge (weights) and reuse it in the next task. Moreover, each applied classifier is used to detect the images from the dataset after it is split into training, testing and validation. Keras library is used to apply the CNN algorithm with each selected classifier to detect the images. Furthermore, the performa
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This research worked on identifying the effect of increasing the volume of indebtedness by companies listed on the Iraq Stock Exchange on the trading volume of those companies, and this research included some theoretical concepts related to both debt financing and trading volume, and it represents the research community of the joint-stock companies listed in The Iraq Stock Exchange (the banking sector). As for the research sample, it was deliberately chosen represented by companies with continuous trading without stopping, which reached 10 joint-stock companies, and the period of research was extended during the period 2011-2015, and a set of indicators and financial methods were used In measuring research v
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Abstract
Business organizations are using the technological innovations like cloud computing (CC) as a developmental platform in order to improve the performance of their information systems. In that context, our paper discusses know-how in employing the public and private CC to serve as platforms to develop the evaluation system of annual employees' performance (ESAEP) at Iraqi universities. Therefore, we ask the paper question which is “Is it possible to adopt the innovative solutions of ICTs (Like: public and private CC) for finding the developmental vision about management information systems at business organizations?”. In addition, the paper aim
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