International journal of health sciences
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Hybrid slime mould - Grey wolf optimization algorithm for efficient feature selection
Selection of features is an effective method for minimizing the amount of data features in order to improve machine learning classification performance. Choosing a set of attributes is a high-level procedure for selecting a collection of relevant features. To boost the classifier's performance, use a dimensional dataset. We outline a typical feature selection problem in this work in order to minimize the amount of role and responsibilities while improving accuracy. Different classification dataset from the Machine learning repository have been used to test SMA with GWO as a feature selection strategy. The feature selections for UCI repository datasets include Bat optimization, Cuckoo search optimization, Slime mould optimization, Whale optimization, Particle swarm optimization, and Grey wolf optimization
Impacts of managers’ loss-aversion characteristics on discretionary accruals-based earnings management in companies listed on the Tehran stocks exchange
The present article investigates the impacts of managers’ loss-aversion characteristics on discretionary accruals-based earnings management in the Tehran Stocks Exchange companies. The study falls under applied research, which uses a descriptive-correlational method in terms of goals. The statistical population consists of all companies listed on the Tehran Stocks Exchange, which, in 2019, totaled 435 companies. The screening sampling method (systematic removal method) selects the statistical sample. Thus, the number of 138 companies are selected. To gather data on managers’ loss-aversion bias, the Pen Pin Questionnaire (2008) is employed, which, the loss-aversion bias, was introduced to the model as a virtual variable (0, 1). The adjusted Jones’ model is used to measure discretionary accruals-based earnings management. Variables of financial leverage, return on assets, corporate size, institutional ownership, and the market-to-book value entered the model as effective control variables to explain and examine the effects of the independent variable on the dependent variable. Excel and Eviews software and cross-sectional data model are used to analyze the data. The findings suggest that the variable of managers’ loss-aversion bias is positively and significantly associated with discretionary accruals-based earnings management. 
The effects of organizational policies on budget participation with the mediating role of employee motivation
From the management perspective, budget is a tool for targeted use of financial resources given the company behoof and goodness, so that maximum organizational benefits are gained by using minimum resources and create measurable evaluation criteria that lead management to goals in this regard. The purpose of the study was to examine the effects of organizational policies (Ops) on budget participation (BP) with the mediating role of employee motivation (EM). The study was applied in terms of purpose and descriptive-survey in terms of method. The population was the staff of Management and Planning Organization of Tehran. Given the data collected, the total number of employees was 374 people selected using stratified random sampling method. In the present study, a questionnaire from the study of Lao et al. (2018) was used to collect data. The reliability of the questionnaire was obtained as 0.820 using Cronbach's alpha coefficient. Descriptive statistics test in SPSS 18 and structural equation method (SEM) using Smart PLS software were used to analyze the collected data. The results indicated that OPs have a significant effect on BP with the mediating role of EM
Clinical analysis study of COVID-19 patients between arterial blood gases with electrolytes and some biochemical parameters by cohort study in Alfurat Alawst at 2021
Background: Coronavirus is one of the most common respiratory infections in the world. SARS-CoV and MERS-CoV, two prior epidemics of coronaviruses (CoVs) that have been considered as major public health threats, are examples of past coronavirus outbreaks.Method: The current study included eighty-four covid – 19 patients who were attending in Al – Hussein – medical city, Al – Hayat unit, in Karbala and Al-Hakim General Hospital, Al-Shahid Hassan Hallous al_Hatmi Hospital/Al_amal in Najaf city; Marjan teaching hospital in Babylon Iraq. In period from November 2020 to march 2022. Results: the results show the levels of serum electrolytes elevated in mild group than the moderate and severe groups, and higher in moderate group when compared with severe. The study shows some correlation between electrolytes in blood gases. The study was showed positive significant correlation between serum ferritin and s. calcium in 5 and 8 intervals (r=.284** , p=.009, r= .261*, p=.016). Moreover there was a positive significant correlation between serum ferritin and chloride in the 3,4,5 and 7 intervals (r=.282**, p=.009, r= .420** , p=..000 , r=.291** , p=.007, r=.426** ,p=.000). Conclusion: The serum electrolytes show high levels in mild patients more than severe
Culinary desire: gastronomical trajectory in book of Rachel by Esther David
The topic of food has recently taken the centre stage. The food trend is evident not just in a plethora of cookery books and nutrition research but also in current writers' novels. Each culture depicts its distinctive cuisine, as well as its specific traditional rules and eating habits, in its literature. Food can be used to create compelling visuals. Food practices elicit a variety of associations in the minds of different writers. Food can be perceived not only via the particular senses of smell and taste but also through the other senses. It aids in the evocation of more memories and sensations. As a result, food imagery in literature may seem like a source of deeply implanted associations that lead into the depths of personal and societal memory. Book of Rachel by Esther David is a celebration of culinary obsessions and the metaphors that come with them. The novel is structured like a recipe, with each chapter beginning with a signature dish and a list of ingredients. An attempt has been made to analyse and bring to light the relationship between food and literature in Esther David's novel "Book of Rachel.
Evaluation of Apriori, FP growth and Eclat association rule mining algorithms
Association rule mining means to discover the guidelines which empower us to anticipate the event of a particular thing dependent on the events of different things in the exchange. Incessant thing set mining prompts the disclosure of affiliations and connections among things in enormous value-based or social informational collections. With monstrous measures of information constantly being gathered and put away, numerous enterprises are becoming keen on mining such examples from their data sets. The disclosure of intriguing connection connections among immense measures of deal records can help in numerous business dynamic cycles, for example, inventory configuration, cross-advertising, and client shopping conduct examination. In this we assess diverse sort of calculations like Apriori, FP Growth and Eclat calculation for affiliation decide mining that deals with regular thing sets. Affiliation rule mining between various things in enormous scope data set is a significant information mining issue. We assess these calculations by considering different elements like number of exchanges, least help, memory utilization and execution time. Assessment of calculations is created dependent on exploratory information, which give end
Evaluation of new method in treatment of amblyopia between adults and children
Amblyopia (lazy eye) is a condition of cortical visual impairment, clinically occurs as a unilateral or bilateral decrease of visual acuity (VA). Since the age of patients directly influence in the treatment of amblyopia. This study sought to evaluate the effectiveness of stimulator device in amblyopia treatment for children and adults in total 38 patients using stimulator at least one times weekly with follow up reached to 4 months. There was a significance differences in VA improvement using stimulator at (P ˃ 0.05), as well as there was a significance differences between two age group (younger age less than 13 years and older age more than 13 years) at (P ˃ 0.05) that improvement increased in younger aged, Usage of vit. A tab during course of treatment enhance and accelerate the improvement of VA
Research methodologies in communications and media studies
Research is the most important and significant part of acquiring knowledge. Academics just cannot stand and meet the aspirations of today’s society without research. Historically too, research has been linked with human endeavor for the better understanding of the environment. This has led the development and growth through different stages of history in every field. Research is an essential tool to gather facts, opinion and information pertaining to a specified problem, situation or opportunity. Research in media focuses on the communication process and examines the relationships among the media organizations and the target audience. Media research focus is on the social and psychological aspects and effects of the different mass media. Its objective is to get information pertaining to different mass media like the amount of time people spend on a particular medium, the effects of various medium on the society, the content and presentation of information or the effectiveness of the programmers to the audience etc. Therefore, mass media have come to depend on research results for all the major decision they make. The increased demand for information has created a need for research and researchers in all the sectors both private and public
Data privacy and data protection security algorithms for big data in cloud
Data security is the primary concern in the world, while storing large and confidential data in the cloud. Cloud Computing is a powerful internet-oriented technology which gives demand-based services to the users. But security is the major problem here when we use cloud computing networks. So, using secured cryptography algorithms only will protect data from attackers and gives security to the big data in cloud. It is mainly used for transmission of data in secured format. This paper proposed new enhanced hybrid security algorithm to give better security for Big Data in cloud. They are Hybrid Matrix hash key generation algorithm (HMHA) and Anonymous Multi-Fusion Shuffling Algorithm (AMSA)
The Gothic complex spectrality in Emily Bronte's wuthering heights
Gothic literature in general and Gothic fiction, in particular, can be defined as a literary piece of writing that uses dark scenery and a whole atmosphere of exoticism, mystery, fear, and terror. This paper aims to explore the elements of Gothic complex spectrality in Emily Bronte's Wuthering Heights (1847). The novel, known for being one of the greatest love stories ever published, explored many Gothic elements that added a sense of fear and terror to its plot. The Gothic factors were not traditional or similar to other Gothic fiction, even though Brontë was greatly influenced by Gothic fiction in her childhood. Nevertheless, she had created her Gothic world that broke the confines of the traditional and resulted in Wuthering Heights, which is still a topic of interest after more than centuries of its creation