46 research outputs found
sj-pdf-1-imr-10.1177_03000605231198413 - Supplemental material for Prevalence and risk factors of COVID-19 infection, mortality, and post-infection lung fibrosis in patients with type 2 diabetes: a cross-sectional study
No full textSupplemental material, sj-pdf-1-imr-10.1177_03000605231198413 for Prevalence and risk factors of COVID-19 infection, mortality, and post-infection lung fibrosis in patients with type 2 diabetes: a cross-sectional study by Randa Farah, Hussam Al-Hawari, Asma Albtoush, Amani Nofal, Tala Basheer Hyasat, Raghed Abdel Hay Abu Jabeh, Lojayn Tareq Suboh, Ahmad A. Toubasi, Tareq Fatah Eqrai and Mohammad Abufaraj in Journal of International Medical Research</p
On a group of the Form 210:(U5(2):2)
No full textThe full automorphism group U5(2):2 of the special unitary group U5(2) has a 10-dimensional absolutely irreducible module over GF(2): Hence a split extension of the form G = 210:(U5(2):2) does exist. In this paper we first determine the conjugacy classes of G using the coset analysis technique. The structures of the inertia factor groups were determined. These are the groups U5(2):2; 21+6:((31+2:8):2) and O5(2):2. We then determine the Fischer matrices and apply the Clifford-Fischer theory to com-pute the ordinary character table of G: The Fischer matrices Fi of G are all Z-valued, with sizes range between 1 and 5. The full character table of G; which is 109 x 109 C-valued matrix is available in the PhD Thesis [1] of the rst author, which could be accessed online
Correction to: Polymer Nanocomposites in Biomedical Engineering
No full textIn the original version of the book, the following belated corrections have been incorporated: The co-editor names ''Basheer Ahmed'' has been changed to ''M. Basheer Ahamed'' and ''Al-Maadeed Mariam Ali S A'' has been changed to ''Mariam Ali S A Al-Maadeed''.
In chapter ''Silver Nanoparticles and Its Polymer Nanocomposites Synthesis, Optimization, Biomedical Usage, and Its Various Applications'', the author name ''Snehal Kargirwar Bramhe'' has been changed to ''Snehal Kargirwar Brahme'' and the affiliations of authors ''Snehal Kargirwar Brahme'' and ''Subhash Kondawar'' were swapped. The correction book has been updated with the changes.Scopu
SOLVENT EFFECTS ON IR MODES OF (R)-3-METHYLCYCLOPENTANONE CONFORMERS: A COMPUTATIONAL INVESTIGATION
No full textAuthor Institution: Physics Department, King Fahd University of Petroleum and Minerals, Dhahran 31261 Saudi ArabiaDensity Functional Theory (DFT) calculations of infrared spectra for the optimized geometries of R-(+)-3-methylcyclopentanone (R3MCP) equatorial-methyl and axial-methyl conformers were performed in 11 common solvents of wide polarity range, in the framework of polarizable continuum model (PCM). DFT correlation function type B3LYP using a powerful basis set (aug-cc-pVDZ) yielded different linear correlation between solvent polarity and R3MCP equatorial and axial conformers IR modes frequencies, intensities, and enthalpies (W. Al-Basheer, J. Sol. Chem. 41, 1495-1506 (2012)). DFT calculations of the R3MCP equatorial and axial conformer dipole moment components in 3D were also carried out and found to have a linear correlation with solvent polarity (W. Al-Basheer et al, J. Phys. Chem. A 111(12), 2293-2298 (2007)). An observed trend for a Hypsochromic (blue) shift in the equatorial conformer IR frequencies, in comparison to Bathochromic (red) shift for the axial-methyl conformer IR modes as a function of solvent polarity increase
Conceptualizing Discussions on the Dark Web: An Empirical Topic Modeling Approach
No full textSocial networks on the Internet have become a home that attracts all types of human thinking to exchange knowledge and ideas and share businesses. On the other hand, it has also become a source for researchers to analyze this knowledge and frame it in patterns that define types of thoughts circulating on these networks and representing the communities around them. In particular, some social networks on the Dark Web attract a special kind of thinking centered around the malicious and illegal activities disseminated on websites and marketplaces on the Dark Web. These networks involve discussions to exchange and discourse information, tips, and advice on performing such business. Studying social networks on the Dark Web is still in its infancy. In this paper, we present a methodology for analyzing the content of social networks on the Dark Web using topic modeling methods. We demonstrate the needed stages for the topic modeling process, beginning with data preprocessing and feature extraction to topic modeling algorithms. We utilize and discuss the following four topic models: LDA, CTM, PAM, and PTM. We discuss the following four topic coherence measures as evaluation metrics: UMass, UCI, CNPMI, and CV, demonstrating the selection of the best number of topics for each model according to the most coherent produced topics. Furthermore, we discuss the limitations, challenges, and future work. Our proposed approach highlights the ability to discover the latent thematic patterns in conversations and messages in the common language used in social networks on the Dark Web, constructing topics as groups of terms and their associations. This paper provides researchers with a leading methodology for analyzing thought patterns on the Dark Web
Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence
No full textFrom proactive detection of cyberattacks to the identification of key actors, analyzing contents of the Dark Web plays a significant role in deterring cybercrimes and understanding criminal minds. Researching in the Dark Web proved to be an essential step in fighting cybercrime, whether with a standalone investigation of the Dark Web solely or an integrated one that includes contents from the Surface Web and the Deep Web. In this review, we probe recent studies in the field of analyzing Dark Web content for Cyber Threat Intelligence (CTI), introducing a comprehensive analysis of their techniques, methods, tools, approaches, and results, and discussing their possible limitations. In this review, we demonstrate the significance of studying the contents of different platforms on the Dark Web, leading new researchers through state-of-the-art methodologies. Furthermore, we discuss the technical challenges, ethical considerations, and future directions in the domain
Simplicity and Beauty in Basheer’s The Inheritors of Earth
No full textVaikom Muhammed Basheer is a notable writer of Malayalam literature. His works are always close to nature. People can easily identify his works because of their lucid language and their inclination to nature. In his work, ‘Bhoomiyude Avakashikal’ (The Inheritors of Earth), the author tries to talk about the need of considering the animals and birds around us because they are also a part of our earth. Basheer sheds light on the truth that the entire species in this world have the same rights that man holds. Each and every living being has the equal right to live and enjoy their surroundings as human beings. If we don’t protect our nature - the vegetation and biodiversity around us - we have no future
Assessing the potential impacts of climate change on current coastal ecosystems—A Canadian case study
No full textUnderstanding how climate change affects coastal ecosystems is one of the most important elements in determining vulnerability and resilience for long-term ecosystem management in the face of the increasing risk of coastal hazards (e.g., sea level rise, coastal flooding, and storm surge). This research attempts to undertake a study on the ecosystem–climate nexus in the Canadian province of Prince Edward Island (PEI). Cloud-based remote sensing techniques with Google Earth Engine (GGE) are utilized to identify ecosystem changes over time. In addition, the effects of coastal flooding and storm surge ecosystems under different climate scenarios are examined. The results suggest a reduction in the forest (3%), open water or marsh component (9%), salt water (5%), no open water or marsh component (3%), and salt or brackish marsh (17%) ecosystems from 2013 to 2022. Dune and beach exhibit a non-uniform distribution across the period because of variations in natural processes, with an upward trend ranging from 0% to 11%. Approximately 257 km2 (9.4%) of PEI’s ecosystems would be affected by extreme coastal flooding (scenario 4), compared to 142 km2 (5.2%), 155 km2 (5.7%), and 191 km2 (7%) in scenarios 1, 2, and 3, respectively. Under a 4 m storm surge scenario, around 223 km2 (8.2%) of PEI’s ecosystems would be flooded, compared to 61 km2 (2.2%), 113 km2 (4.1%), and 168 km2 (6.1%) under 1 m, 2 m, and 3 m scenarios, respectively. The findings from this research would enable policymakers to take necessary actions to sustain ecosystem services in PEI while confronting the impacts of climate change
Climate change impacts on global potato yields: A review
No full textPotatoes as a food crop contribute to zero hunger: Sustainable Development Goal 2. Over the years, the global potato supply has increased by more than double consumption. Changing climatic conditions are a significant determinant of crop growth and development due to the impacts of meteorological conditions, such as temperature, precipitation, and solar radiation, on yields, placing nations under the threat of food insecurity. Potatoes are prone to climatic variables such as heat, precipitation, atmospheric carbon dioxide (CO2), droughts, and unexpected frosts. A crop simulation model (CSM) is useful for assessing the effects of climate and various cultivation environments on potato growth and yields. This article aims to review recent literature on known and potential effects of climate change on global potato yields and further highlights tools and methods for assessing those effects. In particular, this review will explore (1) global potato production, growth and varieties; (2) a review of the mechanisms by which changing climates impact potato yields; (3) a review of CSMs as tools for assessing the impacts of climate change on potato yields, and (4) most importantly, this review identifies critical gaps in data availability, modeling tools, and adaptation measures, that lays a foundation for future research toward sustainable potato production under the changing climate
Spatiotemporal trends in temperature and precipitation for Prince Edward Island over 1971–2020
No full textClimate change has been attracting significant attention in Canada lately. This study investigates spatiotemporal air temperature and precipitation changes by developing high-resolution (i.e., 1 m × 1 km grid) climate maps from 1971 to 2020. The climate monitoring data are collected and synthesized from various sources, and then used to develop high-resolution climate maps with state-of-the-art spatial interpolation methods. The error metrics results show that the inverse distance weighting method performs the best for air temperature and precipitation and thus is used in this study. Significant temporal trends show that the annual mean temperature increased by 0.03 °C/year in western and eastern Prince Edward Island (PEI), covering 62.75% of PEI area. Similarly, the annual precipitation has decreased by around 4.8 mm/year in Prince County and eastern parts of Queens and Kings Counties, covering 62.81% of PEI area. In growing season, temperature has increased by 0.05 °C/year and precipitation is decreased by 2.1 mm/year in Prince County. This information illustrates the dynamics of temperature and precipitation toward the changing climate
