51 research outputs found

    EVALUATION OF ASPHALT PAVEMENT PERFORMANCE FOR DIFFERENT DIATOMITE CONTENT

    Get PDF
    The majority of steel and reinforced concrete bridges are produced with asphalt pavement. The reason for this is to protect steel and concrete structures from the effects of water and degrading salt additives and to increase their durability. Asphalt bridge superstructures are mostly manufactured with four layers. These layers are the primer bonding layer, waterproofing layer, protection layer and surface asphalt wearing layers. The superstructure must protect the supporting substructure. It should protect the life of the structure and ensure the integrity of the structure against permanent deformation, aging, raveling, water damage and chemical effects. Diatomite additive is used as a performance enhancer in various aspects. It is generally preferred in the region of 5%-15% according to the bitumen mass. The granulometric size and chemical properties of the diatomite additive are other effective factors. In this study, the rutting resistance of conventional and diatomite-modified asphalt pavement for 5% and 10% ratios for selected diatomite additive gradation is investigated. The rutting resistance of the pavements is investigated by repeated creep tests for two different additive ratios on water-damaged and control mixtures. In unconditioned samples, 5% diatomite-modified mixtures; in conditioned samples, 10% diatomite-modified mixtures showed the greatest deformation resistance

    Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

    Get PDF
    Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

    Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

    Get PDF
    [This corrects the article DOI: 10.1186/s13054-016-1208-6.]

    37th International Symposium on Intensive Care and Emergency Medicine (part 3 of 3)

    Full text link

    Performance Analysis of ARM Architecture Based Mobile Processor with Multi-thread Image Compression

    No full text
    The increasing use of social media in recent years has brought the problem of transmitting picture and audio data on the Internet. In order to reduce the burden on the Internet during data transfer, it is necessary to either increase the bandwidth of the Internet or reduce the size of the data by compressing it. In this study, the performance change due to multi-core usage of an ARM architectured mobile processor is analyzed on the image compression process with Haar Wavelet. The results showed that the use of multi-cores in the compression process reduces runtime but leads to an increase in processor temperature. In addition, it is observed that the working time of the scenario where the number of threads and the number of cores is equal works faster than the other scenarios
    corecore