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السجلات المعروضة 6503 -- 6522 من 49434
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Dark soliton scattering in symmetric and asymmetric double potential barriers
( Elsevier B.V. , 2017 , Article)Motivated by the recent theoretical study of (bright) soliton diode effects in systems with multiple scatterers, as well as by experimental investigations of soliton-impurity interactions, we consider some prototypical ... -
Dark solitons near potential and nonlinearity steps
( American Physical Society , 2016 , Article)We study dark solitons near potential and nonlinearity steps and combinations thereof, forming rectangular barriers. This setting is relevant to the contexts of atomic Bose-Einstein condensates (where such steps can be ... -
Dark Triad Traits, Social Position, and Personality: A Cross-Cultural Study
( SAGE Publications Inc. , 2022 , Article)This research explores the Dark Triad traits in 18 cultures from Europe, America, Africa, and Asia. We examined the relationships among Dark Triad traits, as measured by the SD3, with gender, age, social status, and two ... -
Dark-Fenton oxidative degradation of methylene blue and acid blue 29 dyes using sulfuric acid-activated slag of the steel-making process
( Elsevier Ltd , 2021 , Article)The pollution of water by effluents from dye industries is a widely established environmental and health problem that requires new insights and urgent attention. In this study, methylene blue (MB) and acid blue 29 (AB29) ... -
DART: A large dataset of dialectal Arabic tweets
( European Language Resources Association (ELRA) , 2019 , Conference Paper)In this paper, we present a new large manually-annotated multi-dialect dataset of Arabic tweets that is publicly available. The Dialectal ARabic Tweets (DART) dataset has about 25K tweets that are annotated via crowdsourcing ... -
Darunavir-Cobicistat versus Lopinavir-Ritonavir for COVID-19 Pneumonia: Qatar's Experience
( Hamad bin Khalifa University Press (HBKU Press) , 2022 , Article)Background: Coronavirus Disease 2019 (COVID-19) was first discovered in China and resulted in a pandemic crisis. 1,2 Many agents were investigated with inconclusive outcomes. 3 This study was conducted to compare the ... -
Darunavir-cobicistat versus lopinavir-ritonavir in the treatment of COVID-19 infection (DOLCI): A multicenter observational study
( Public Library of Science , 2022 , Article)Background Coronavirus Disease 2019 (COVID-19) is an evolving pandemic that urged the need to investigate various antiviral therapies. This study was conducted to compare efficacy and safety outcomes of darunavir-cobicistat ... -
Dasatinib and PD-L1 inhibitors provoke toxicity and inhibit angiogenesis in the embryo
( Elsevier , 2021 , Article)Dasatinib is a targeted cancer therapy, while programmed death ligand 1 (PD-L1) inhibitors are a form of immune checkpoint therapy used to treat various types of cancers. Several studies showed the potential efficacy of ... -
DATA ANALYTICS IN EDUCATION: FACTORS AFFECTING THE UTILIZATION OF DATA ANALYTICS FOR EDUCATION IN QATAR
(2023 , Professional Masters Project)Data analytics in education is an emerging concept in the field of information technology. The purpose of this study is to examine the factors that affect professors' and lecturers' intention to use data analytics in the ... -
Data analytics platforms for agricultural systems: A systematic literature review
( Elsevier , 2022 , Article Review)With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the ... -
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ... -
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
( IEEE , 2021 , Conference Paper)Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ... -
Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Data clustering is a fundamental machine learning problem. Community structure is common in social and biological networks. In this article we propose a novel data clustering algorithm that uses this phenomenon in mutual ... -
Data Collection and Image Processing System for Ancient Arabic Manuscripts
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a general-purpose data collection system that combines a DSLR camera with directional LED lamps in order to capture a large quantity of high-resolution manuscript images in such a way as to maximize the ... -
Data concerning isometric lower limb strength of dominant versus not-dominant leg in young elite soccer players
( Elsevier Inc. , 2018 , Article)The present data article describes the isometric lower limb strength of dominant leg versus not-dominant leg measured with handheld dynamometer (HHD) in a sample of 31 young elite soccer players (age 16.42 ± 0.45 years; ... -
Data confidentiality in cloud-based pervasive system
( Association for Computing Machinery , 2017 , Conference Paper)Data confidentiality and privacy is a serious concern in pervasive systems where cloud computing is used to process huge amount of data such as matrix multiplications typically used in HPC. Due to limited processing ... -
Data driven feature extraction for gender classification using multi-script handwritten texts
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a study on assessing the effectiveness of machine learned features to predict gender of writers from images of handwriting. Pre-trained Convolutional Neural Networks have been employed as feature ...
