2,590 research outputs found

    Sequin jacket

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    Evening jacket of black silk with sequin decoration. Hip length jacket with long sleeves, High, rounded collar with two hook-and-eyes just below throat, and center front opening with 9 hidden snaps and two hook-and-eyes. Neckline, cuffs, hem, and cf opening heavily beaded/sequined in gold and copper with small Paisley forms in green and blue/gray chain stitch embroidery. Body of jacket decorated in large blocks of overlapping sequins in iridescent purple, iridescent dark green, and black sequins. Torso lined in black silk; sleeves unlined. Designer's label at inside back collar: “Naeem Khan / Riazee / Nights”; Retailer's label at inside back collar: “Neiman Marcus”; Content/Origin label at inside back collar: “Suzarilla / Pure Silk Garments / with silk lining / Made in India” Size label at inside back collar: "8" With small plastic bag of spare sequins/beads

    SUPPLEMENTARY_MATERIAL - Fabrication of silica-modified zeolite-based polysulfone nanocomposite membranes: Enhanced thermal, mechanical, and antibacterial properties

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    SUPPLEMENTARY_MATERIAL for Fabrication of silica-modified zeolite-based polysulfone nanocomposite membranes: Enhanced thermal, mechanical, and antibacterial properties by Sedra Tul Muntha, Jaweria Ambreen, Muhammad Siddiq, Hina Naeem, Saz Muhammad and Anum Khan in Journal of Thermoplastic Composite Materials</p

    Do market conditions affect interconnectedness pattern of socially responsible equities?

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    We assess the interconnectedness pattern of sustainability leaders from United States market during stable, boom and crisis situations for the period 01-Oct-2005 to 31-May-2021 using Qian et al. (2020) methodology. The purpose is to assess the hedging properties of sustainable firms. We find that sampled firms exhibit high connectedness during tail events. Also, they offer hedge against the market conditions. Moreover, the small and growth-oriented firms contribute to the total connectedness for all market conditions. The sampled SRI network appears favorable for forming portfolio as the average connectedness is negative for all economic conditions

    Modelling systemic risk of energy and non-energy commodity markets during the COVID-19 pandemic

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    COVID-19 led restrictions make it imperative to study how pandemic affects the systemic risk profile of global commodities network. Therefore, we investigate the systemic risk profile of global commodities network as represented by energy and nonenergy commodity markets (precious metals, industrial metals, and agriculture) in pre- and post-crisis period. We use neural network quantile regression approach of Keilbar and Wang (Empir Econ 62:1–26, 2021) using daily data for the period 01 January 2018–27 October 2021. The findings suggest that at the onset of COVID-19, the two firm-specific risk measures namely value at risk and conditional value of risk explode pointing to increasing systemic risk in COVID-19 period. The risk spillover network analysis reveals moderate to high lower tail connectedness of commodities within each sector and low tail connectedness of energy commodities with the other sectors for both pre- and post-COVID-19 periods. The Systemic Network Risk Index reveals an abrupt increase in systemic risk at the start of pandemic, followed by gradual stabilization. We rank commodities in terms of systemic fragility index and observe that in post COVID-19 period, gold, silver, copper, and zinc are the most fragile commodities while wheat and sugar are the least fragile commodities. We use Systemic Hazard Index to rank commodities with respect to their risk contribution to global commodities network. During post COVID-19 period, the energy commodities (except natural gas) contribute most to the systemic risk. Our study has important implications for policymakers and the investment industry

    sj-docx-5-dhj-10.1177_20552076231203800 - Supplemental material for A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment

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    Supplemental material, sj-docx-5-dhj-10.1177_20552076231203800 for A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment by Samiya Khan, Muhammad Kamran Naeem, Marzia Hoque Tania, Nadia Refat, Md Arafatur Rahman and Mohammad Patwary in DIGITAL HEALTH</p

    sj-docx-1-dhj-10.1177_20552076231203800 - Supplemental material for A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment

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    Supplemental material, sj-docx-1-dhj-10.1177_20552076231203800 for A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment by Samiya Khan, Muhammad Kamran Naeem, Marzia Hoque Tania, Nadia Refat, Md Arafatur Rahman and Mohammad Patwary in DIGITAL HEALTH</p

    sj-docx-6-dhj-10.1177_20552076231203800 - Supplemental material for A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment

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    Supplemental material, sj-docx-6-dhj-10.1177_20552076231203800 for A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment by Samiya Khan, Muhammad Kamran Naeem, Marzia Hoque Tania, Nadia Refat, Md Arafatur Rahman and Mohammad Patwary in DIGITAL HEALTH</p
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