Project description:The generation of a substantial amount of construction waste (CW) poses significant challenges to the green transition of highway construction projects. However, the construction industry lacks integration of construction waste management (CWM) practices into the construction process. This paper aims to develop a calculation for assessing the performance of CWM to monitor its effectiveness in highway construction. Initially, this study utilizes the Site waste management plan (SWMP) as a foundation and develops a Construction Waste Management Performed Assessment Method (CWMPAM). The extension of CWM is incorporated into earned value management (EVM) to manage costs, schedules, and the performance of CWM within a unified framework. The functionality and sensitivity of CWMPAM and CWM-embedded EVM are validated through pilot testing and scenario analysis. The research results are computerized into a calculator to facilitate the practical application of CWM, and its validity is tested using random cases. CWMPAM and CWM-embedded EVM prove satisfactory in assessing and monitoring the execution and performance of CWM. The developed calculator simplifies the practical application of the outcomes. Essentially, the developed calculator represents a groundbreaking integration of CWM and construction management, enabling project managers to monitor and compare the CWM performance across different segments of highway construction. Not only does this contribute to the green transformation of highway projects, it also promotes high quality and sustainable development in the construction industry.
Project description:Hereditary and acquired thrombophilia are risk factors for venous thromboembolism (VTE). Whether testing helps guide management decisions is controversial. These evidence-based guidelines from the American Society of Hematology (ASH) intend to support decision making about thrombophilia testing. ASH formed a multidisciplinary guideline panel covering clinical and methodological expertise and minimizing bias from conflicts of interest. The McMaster University GRADE Centre provided logistical support, performed systematic reviews, and created evidence profiles and evidence-to-decision tables. The Grading of Recommendations Assessment, Development, and Evaluation approach (GRADE) was used. Recommendations were subject to public comment. The panel agreed on 23 recommendations regarding thrombophilia testing and associated management. Nearly all recommendations are based on very low certainty in the evidence due to modeling assumptions. The panel issued a strong recommendation against testing the general population before starting combined oral contraceptives (COCs) and conditional recommendations for thrombophilia testing in the following scenarios: (a) patients with VTE associated with nonsurgical major transient or hormonal risk factors; (b) patients with cerebral or splanchnic venous thrombosis, in settings where anticoagulation would otherwise be discontinued; (c) individuals with a family history of antithrombin, protein C, or protein S deficiency when considering thromboprophylaxis for minor provoking risk factors and for guidance to avoid COCs/hormone replacement therapy; (d) pregnant women with a family history of high-risk thrombophilia types; and (e) patients with cancer at low or intermediate risk of thrombosis and with a family history of VTE. For all other questions, the panel provided conditional recommendations against testing for thrombophilia.
Project description:Thrombophilia is a group of disorders in which blood has an increased tendency to clot. It may be caused by inherited or acquired conditions. Thrombophilia is associated with risk of deep venous thrombosis and/or venous thromboembolism. Factor V Leiden thrombophilia is the most common inherited form of thrombophilia and prothrombin-related thrombophilia is the second most common genetic form of thrombophilia, occurring in about 1.7-3% of the European and US general populations (3). Thrombophilia may have autosomal dominant, autosomal recessive or X-linked inheritance. Genetic testing is useful for confirming diagnosis and for differential diagnosis, recurrence risk evaluation and asymptomatic diagnosis in families with a known mutation.
Project description:A new rare subtype of hereditary thrombophilia named antithrombin resistance. Antithrombin resistance is caused by mutations in the prothrombin gene (F2), located in the antithrombin binding region, which lead to the impaired thrombin inhibition by antithrombin and, therefore, thrombotic disorders due to the antithrombin resistance.
Project description:ContextAnti-DFS70 antibodies are the most frequent antinuclear antibodies (ANA) found in healthy individuals. We assessed the clinical significance of the presence of anti-DFS70 antibodies.MethodsWe defined a group of patients (n = 421) with anti-DFS70 antibodies and a group of patients (n = 63) with a history of idiopathic arterial and/or venous thrombotic disease and/or obstetric complication (i.e. ≥ 3 miscarriages, fetal death or premature birth with eclampsia). Anti-DFS70 antibodies prevalence was also assessed in a cohort of 300 healthy blood donors.ResultsThe prevalence of thrombotic disease and/or obstetric complication in the 421 patients with anti-DFS70 antibodies was 13.1% (n = 55) and the prevalence of connective tissue disease was 19% (n = 80). Among the 63 patients with a history of thrombosis and/or obstetric complications, 7 (11.1%) had anti-DFS70 antibodies and among the latter, 5 had no common thrombophilic factor. In contrast, the prevalence of anti-DFS70 antibodies was of 3.0% (9 out of 300) in healthy donors. Finally, the Activated Partial Thromboplastin Time (aPTT) ratio of patients with a history of thrombosis and anti-DFS70 antibodies was lower than the aPTT ratio of other patients, suggesting that thrombotic patients with anti-DFS70 antibodies may have a hypercoagulable state.ConclusionWe described here for the first time an immune procoagulant state involving anti-DFS70 antibodies.
Project description:Thrombophilia is a group of genetical disorders that cause blood to clot abnormally. Thrombophilia is linked to recurrent pregnancy loss, foetal growth restriction, late miscarriages, stillbirth and preeclampsia. Clinicians usually apply the term thrombophilia only to patients with atypical thrombosis. A successful outcome of pregnancy requires an efficient uteroplacental circulation. Since this system may be compromised by disorders associated with a prothrombotic state, it was postulated that maternal thrombophilia might be a risk factor for preeclampsia and intrauterine growth retardation. The study included 459 pregnant women with gestational ages ranging from 14 weeks to 28 weeks and the patients in the study were tested for hereditary thrombophilia. The type of thrombophilic mutation most common found was the MTHFR mutation (25.7%), followed by the prothrombin gene mutation (20.9%) and the Leiden factor V mutation (15.7%). Also 15.03% patients had been diagnosed with preeclampsia and 6.75% of the pregnant women had IUGR fetuses.
Project description:Activation of the hemostatic system occurs in patients with sickle cell disease. The extent to which this activation contributes to sickle cell pathophysiology is uncertain. Clinical trials of anticoagulants or platelet inhibitors have demonstrated the ability to decrease biomarkers of hemostatic activation, but this has generally not resulted in improvement in clinically relevant outcomes. Venous thromboembolism (VTE: deep venous thrombosis and pulmonary embolism) has been until recently an underappreciated complication of sickle cell disease, with incident event and recurrence rates consistent with a strong thrombophilia. There is no strong evidence that management should differ than for other patients with VTE, with the possible exception that secondary prophylaxis be extended regardless of provocation, given the persistent strong thrombophilic state.
Project description:We describe the Mass Spectrometry Adduct Calculator (MSAC), an automated Python tool to calculate the adduct ion masses of a parent molecule. Here, adduct refers to a version of a parent molecule [M] that is charged due to addition or loss of atoms and electrons resulting in a charged ion, for example, [M + H]+. MSAC includes a database of 147 potential adducts and adduct/neutral loss combinations and their mass-to-charge ratios (m/z) as extracted from the NIST/EPA/NIH Mass Spectral Library (NIST17), Global Natural Products Social Molecular Networking Public Spectral Libraries (GNPS), and MassBank of North America (MoNA). The calculator relies on user-selected subsets of the combined database to calculate expected m/z for adducts of molecules supplied as formulas. This tool is intended to help researchers create identification libraries to collect evidence for the presence of molecules in mass spectrometry data. While the included adduct database focuses on adducts typically detected during liquid chromatography-mass spectrometry analyses, users may supply their own lists of adducts and charge states for calculating expected m/z. We also analyzed statistics on adducts from spectra contained in the three selected mass spectral libraries. MSAC is freely available at https://github.com/pnnl/MSAC.
Project description:Cell division is important in human aging and cancer. The estimation of the number of cell divisions (mitotic age) of a given tissue type in individuals is of great interest as it allows not only the study of biological aging (using a new molecular aging target) but also the stratification of prospective cancer risk. Here, we introduce the MiAge Calculator, a mitotic age calculator based on a novel statistical framework, the MiAge model. MiAge is designed to quantitatively estimate mitotic age (total number of lifetime cell divisions) of a tissue using the stochastic replication errors accumulated in the epigenetic inheritance process during cell divisions. With the MiAge model, the MiAge Calculator was built using the training data of DNA methylation measures of 4,020 tumor and adjacent normal tissue samples from eight TCGA cancer types and was tested using the testing data of DNA methylation measures of 2,221 tumor and adjacent normal tissue samples of five other TCGA cancer types. We showed that within each of the thirteen cancer types studied, the estimated mitotic age is universally accelerated in tumor tissues compared to adjacent normal tissues. Across the thirteen cancer types, we showed that worse cancer survivals are associated with more accelerated mitotic age in tumor tissues. Importantly, we demonstrated the utility of mitotic age by showing that the integration of mitotic age and clinical information leads to improved survival prediction in six out of the thirteen cancer types studied. The MiAge Calculator is available at http://www.columbia.edu/∼sw2206/softwares.htm .