38 research outputs found

    Factors influencing levels of antenatal depression in the Kingdom of Jordan during the COVID-19 pandemic

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    Dataset relating to the above study that used online questionnaire in three parts: (1) sociodemographical, obstetrical nd gynaecological history; (2) 10-item Edinburgh Postnatal Depression Scale; (3) scales of knowledge, attitude and practices in regard to COVID-19, adapted from Zhong et al (2020) and American College of Obstetricians and Gynaecologists Coronavirus (COVID-19) Pregnancy and breastfeeding, a message for patients. Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020;16(10):1745-52 ACOG. Coronavirus (COVID-19), Pregnancy, and Breastfeeding: A Message for Patients, 2021. Available from: https://www.acog.org/patient-resources/faqs/pregnancy/coronavirus-pregnancy-and-breastfeeding. [accessed 17-Aug-2021

    Production of Thermal and Sound Insulators from Used Automobile Tires' Fiber

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    One of the problematic issues with the recycling of used automobile tires is the production of unwanted fiber waste. This waste is considered as a major burden and as an industrial waste which constitutes an extra cost to industries. In this project, thermal and noise insulators were produced from the fiber waste of automobiles. The insulation materials were used in insulating different types of rooms to study their thermal and noise insulation effectiveness (Caravan rooms and brick rooms). Results were also compared to identical rooms without insulation. Results showed that the thermal properties of the obtained sheets are similar to those used currently in construction. The differences between the insulated rooms and the non-insulated rooms were about 2⸰C and 1-4 dBA for thermal and sound level, respectively, for both construction models during day and night all over the year period. KEYWORDS: Automobile tires, Fiber, Thermal insulation, Sound insulation.Other InformationPublished in: Jordan Journal of Civil EngineeringLicense: https://creativecommons.org/licenses/by/4.0/See article on publisher's website: https://dx.doi.org/10.14525/jjce.v17i2.02</p

    A Dataset for Buffering Delays Due to the Interaction Between the Nagle Algorithm and the Delayed Acknowledgement Algorithm in Cyber-Physical Systems Communication

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    Here, we provide the research community with a data set for the buffering delays that data packets experience at TCP sending side in the realm of Cyber-Physical Systems (CPSs). We focus on the buffering that occurs at the sender side due to the the adverse interaction between the Nagle algorithm and the delayed acknowledgement algorithm, which both were originally introduced into TCP to prevent sending out many small-sized packets over the network. The data set is collected using four real-life operating systems: Windows, Linux, FreeBSD, and QNX (a real-time operating system). In each scenario, there are three separate different (virtual) machines running various operating systems. One machine, or an end-host, acts a data source, another acts as a data sink, and a third acts a network emulator that introduces artificial propagation delays between the source and the destination. To measure buffering delay at the sender side, we record for each sent packet the two time instants: when the packet is first generated at the application layer, and when it is actually sent on the physical network. In each case, 10 different independent experiment replications/runs are executed. Here, we provide the full distribution of all delay samples represented by the cumulative distribution function (CDF). The data exhibited here gives an impression of the amount and scale of the delay occurring at sender-side in TCP. More importantly, the data can be used investigate to what degree these delays affect the performance of cyber-physical systems or other real-time applications employing TCP

    Holocene deglaciation drove rapid genetic diversification of Atlantic walrus

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    Rapid global warming is severely impacting Arctic ecosystems and is predicted to transform the abundance, distribution, and genetic diversity of Arctic species, though these linkages are poorly understood. We address this gap in knowledge using palaeogenomics to examine how earlier periods of global warming influenced the genetic diversity of Atlantic walrus (Odobenus rosmarus rosmarus), a species closely associated with sea ice and shallow-water habitats. We analysed 82 ancient and historical Atlantic walrus mitochondrial genomes (mitogenomes), including now-extinct populations in Iceland and the Canadian Maritimes, to reconstruct the Atlantic walrus' response to Arctic deglaciation. Our results demonstrate that the phylogeography and genetic diversity of Atlantic walrus populations were initially shaped by the Last Glacial Maximum (LGM), surviving in distinct glacial refugia, and subsequently expanding rapidly in multiple migration waves during the late Pleistocene and early Holocene. The timing of diversification and establishment of distinct populations corresponds closely with the chronology of the glacial retreat, pointing to a strong link between walrus phylogeography and sea ice. Our results indicate that accelerated ice loss in the modern Arctic may trigger further dispersal events, likely increasing the connectivity of northern stocks while isolating more southerly stocks putatively caught in small pockets of suitable habitat
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