369 research outputs found

    Direction finding in sensors model based automatic modulation classification

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    In this paper, the RSSI testing as well the Angle of Arrival (AoA) have been examined for position prediction also produce the front specified composition of the possibility distribution of the location of a sensor node. "Multiple Signal Classification" (MUSIC) defined as a popular "Eigen" construction approach with large declaration, which broadly utilized for predicting the total of waveforms, as well their corners of arrival. In this research an examination of the ability to development of part of key specifications of the "MUSIC" technique has been presented, which might improve the response of the prediction operation. The outcomes of the simulation of this approach point out that the position of the sensor node may be evaluated in a little time period values as well that the condition of the explanation is competitive beside last techniques

    Psychological and social impacts of families of handicapped people during COVID-19 in the Arab world (A comparative study between Saudi Arabia and Egypt)

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    The study ​ aimed at revealing the psychological and social effects of the families of handicapped people during COVID-19 in Saudi Arabia and Egypt. The triangulation approach was used that gives a deeper understanding of the results derived from quantitative and qualitative data, and a questionnaire prepared by researchers was applied to (142) families with intellectual disabilities, autism disorder, visual impairment, physical and health disabilities, and a semi-structured interview was used with ( 15) of these respondents to find out the most important psychological and social impacts of the families of handicapped people. The psychometric properties of the study tools were verified. The data were analysed quantitatively and qualitatively. ​Quantitative results show that participants have an average level of psychosocial impacts for the families of handicapped people. Furthermore, there were no differences in the psychological and social effects in general between the Egyptian and Saudi societies, while it was found that there were differences in psychological pressure as one of the psychological effects between the two societies for Egyptian society​.  Quantitative statistics were supported by qualitative data​​. Also, the qualitative analysis revealed that there were four dimensions related to the psychological and social effects of the families of handicapped people. They are: the presence of psychological effects ranging from high to medium, the presence of moderate social effects, the presence of moderate economic effects, ​​the finding also indicated that the ranking of psychological effects ​​and social issues for different groups of disabilities depends on​ their families according​ to  (intellectual disability, autism disorder, physical and health disabilities, visual disabilities).​​The study provided several recommendations. The families of handicapped people especially mothers must be supported and provided with specific training programs that suit different disability groups

    Arabic Educational Neural Network Chatbot

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    Chatbots (machine-based conversational systems) have grown in popularity in recent years. Chatbots powered by artificial intelligence (AI) are sophisticated technologies that replicate human communication in a range of natural languages. A chatbot’s primary purpose is to interpret user inquiries and give relevant, contextual responses. Chatbot success has been extensively reported in a number of widely spoken languages; nonetheless, chatbots have not yet reached the predicted degree of success in Arabic. In recent years, several academics have worked to solve the challenges of creating Arabic chatbots. Furthermore, the development of Arabic chatbots is critical to our attempts to increase the use of the language in academic contexts. Our objective is to install and create an Arabic chatbot that will help the Arabic language in the area of education. To begin implementing the chabot, we collected datasets from Arabic educational websites and had to prepare these data using the NLP methods. We then used this data to train the system using a neural network model to create an Arabic neural network chabot. Furthermore, we found relevant research, conducted earlier investigations, and compared their findings by searching Google scholar and looking through the linked references. Data was gathered and saved in a json file. Finally, we programmed the chabot and the models in Python. As a consequence, an Arabic chatbot answers all questions about educational regulations in the United Arab Emirates

    Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques

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    Artificial Intelligence (AI) enables machines to be intelligent, most importantly using Machine Learning (ML) in which machines are trained to be able to make better decisions and predictions. In particular, ML-based chatbot systems have been developed to simulate chats with people using Natural Language Processing (NLP) techniques. The adoption of chatbots has increased rapidly in many sectors, including, Education, Health Care, Cultural Heritage, Supporting Systems and Marketing, and Entertainment. Chatbots have the potential to improve human interaction with machines, and NLP helps them understand human language more clearly and thus create proper and intelligent responses. In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. However, research has paid chatbots have widely been developed for English, there is relatively less research on Arabic, which is mainly due to its complexity and lack of proper corpora compared to English. Though there have been several survey studies that reviewed the state-of-the-art of chatbot systems, these studies (a) did not give a comprehensive overview of how different the techniques used for Arabic chatbots in comparison with English chatbots; and (b) paid little attention to the application of ANN for developing chatbots. Therefore, in this paper, we conduct a literature survey of chatbot studies to highlight differences between (1) classical and deep ML techniques for chatbots; and (2) techniques employed for Arabic chatbots versus those for other languages. To this end, we propose various comparison criteria of the techniques, extract data from collected studies accordingly, and provide insights on the progress of chatbot development for Arabic and what still needs to be done in the future

    Antifungal and Bioherbicidal Properties of Essential Oils of Thymus fallax Fish & Mey., Origanum vulgare L. and Mentha dumetorum Schult.

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    WOS: 000343767000048The chemical composition of the essential oils obtained from the aerial parts of Thymus fallax, Origanum vulgare and Mentha dumetorum was analyzed by gas chromatography-mass spectrometry and the following were found to be the main constituents: T. fallax-thymol (41.48 %), o-cymene (26.75 %), zeta-terpinen (15.84 %), 2-isopropyl-1-methoxy-4-methylbenzene (5.10 %), terpineolene (2.11 %) and carvacrol (1.28 %); O. vulgare-thymol (50.41 %), carvacrol (12.96 %), 2-bornene (11.28 %), zeta-terpinen (8.80 %), o-cymene (6.68 %), alpha-bisabolane (2.19 %) and caryophyllene (1.31 %); and M. dumetorum-carvone (39.64 %), eucalyptol (14.34 %), dihydrocarvone (12.78 %), limonene (7.79 %). The antifungal activities of the oils against Alternaria solani, Fusarium oxysporum and Rhizoctonia solani were also evaluated and were found to be toxic to the pathogens. The results revealed that essential oils, especially those of T. fallax and O. vulgare, had a strong antifungal activity with a significant inhibition on the growth of the 3 tested fungi. In contrast, the M. dumetorum oil did not inhibit the growth of Rhizoctonia solani and also exerted a limited inhibitory effect on the mycelial growth of the other two fungi tested. The results of herbicidal assays using these essential oils against four different plant species, Abutilon theophrasti Medik., Agrostemma githago L., Medicago sativa L. and Lepidium sativum L., showed that the oils had inhibitory effects on seed germination and seedling growth. The findings of the present study confirmed that plant essential oils can be used as natural herbicides and fungicides to control weeds and pathogenic fungi, thus, reducing the dependence on synthetic pesticides

    The crystal structure of Pneumolysin at 2.0 Ã… resolution reveals the molecular packing of the pre-pore complex

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    Pneumolysin is a cholesterol-dependent cytolysin (CDC) and virulence factor of Streptococcus pneumoniae. It kills cells by forming pores assembled from oligomeric rings in cholesterol-containing membranes. Cryo-EM has revealed the structures of the membrane-surface bound pre-pore and inserted-pore oligomers, however the molecular contacts that mediate these oligomers are unknown because high-resolution information is not available. Here we have determined the crystal structure of full-length pneumolysin at 1.98 Å resolution. In the structure, crystal contacts demonstrate the likely interactions that enable polymerisation on the cell membrane and the molecular packing of the pre-pore complex. The hemolytic activity is abrogated in mutants that disrupt these intermolecular contacts, highlighting their importance during pore formation. An additional crystal structure of the membrane-binding domain alone suggests that changes in the conformation of a tryptophan rich-loop at the base of the toxin promote monomer-monomer interactions upon membrane binding by creating new contacts. Notably, residues at the interface are conserved in other members of the CDC family, suggesting a common mechanism for pore and pre-pore assembly

    National Policy and the Media in the Formation of Environmental Awareness among Students of Kazakhstan

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    The relevance of the study is determined by the question as to in which version the environmental consciousness of a person should be considered. The novelty of the study is determined by the possibility of not only forming ecological awareness but also imparting environmental education in their professional and everyday living environments. The authors consider the aspect of structuring the teaching of ecological knowledge of students as the most active layer of the population. It is shown that the possibility of forming environmental awareness depends on the critical role of the media and public policy. The practical significance of the study lies in the possibility of development and structural determination of the direction of the formation of the influence of environmental competence among students for use in everyday activities

    The Structure of the Literary Problem in the Formation of the Local Text Substrate

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    The article aims to study the structure of the literary problem in the formation of the local text substrate. The study uses the methodology of studying the language when it changes in time and space. The article explains the basics of the methodological support of the translation complex and the structure of its application in private studies of foreign cultures and communicants. The results of the study showed the possibility of interaction between the subjects of linguistic exchange and the dynamics of the translation and literary component. The novelty of the study is determined by the fact that the work defines methods that can be used not only by local researchers but also by foreign-speaking communicants. The research results can be used in practical activities to bridge the gap between understanding the local text in translation studies and its structuring in the local versions of individual authors
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