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1.
  • Thomas, HS, et al. (författare)
  • 2019
  • swepub:Mat__t
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  • Lozano, Rafael, et al. (författare)
  • Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017
  • 2018
  • Ingår i: The Lancet. - : Elsevier. - 1474-547X .- 0140-6736. ; 392:10159, s. 2091-2138
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030.
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  • Ademuyiwa, Adesoji O., et al. (författare)
  • Determinants of morbidity and mortality following emergency abdominal surgery in children in low-income and middle-income countries
  • 2016
  • Ingår i: BMJ Global Health. - : BMJ Publishing Group Ltd. - 2059-7908. ; 1:4
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Child health is a key priority on the global health agenda, yet the provision of essential and emergency surgery in children is patchy in resource-poor regions. This study was aimed to determine the mortality risk for emergency abdominal paediatric surgery in low-income countries globally.Methods: Multicentre, international, prospective, cohort study. Self-selected surgical units performing emergency abdominal surgery submitted prespecified data for consecutive children aged <16 years during a 2-week period between July and December 2014. The United Nation's Human Development Index (HDI) was used to stratify countries. The main outcome measure was 30-day postoperative mortality, analysed by multilevel logistic regression.Results: This study included 1409 patients from 253 centres in 43 countries; 282 children were under 2 years of age. Among them, 265 (18.8%) were from low-HDI, 450 (31.9%) from middle-HDI and 694 (49.3%) from high-HDI countries. The most common operations performed were appendectomy, small bowel resection, pyloromyotomy and correction of intussusception. After adjustment for patient and hospital risk factors, child mortality at 30 days was significantly higher in low-HDI (adjusted OR 7.14 (95% CI 2.52 to 20.23), p<0.001) and middle-HDI (4.42 (1.44 to 13.56), p=0.009) countries compared with high-HDI countries, translating to 40 excess deaths per 1000 procedures performed.Conclusions: Adjusted mortality in children following emergency abdominal surgery may be as high as 7 times greater in low-HDI and middle-HDI countries compared with high-HDI countries. Effective provision of emergency essential surgery should be a key priority for global child health agendas.
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  • Qudeimat, Muawia A, et al. (författare)
  • Prevalence and severity of traumatic dental injuries among young amateur soccer players : A screening investigation
  • 2019
  • Ingår i: Dental Traumatology. - : John Wiley & Sons. - 1600-4469 .- 1600-9657. ; 35:4-5, s. 268-275
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND/AIMS: Traumatic dental injuries (TDI) are prevalent among soccer players. In Kuwait, no studies of TDI among soccer players have been carried out. The aim of this study was to investigate the prevalence, type and causes of soccer-related traumatic dental injuries among 7-18-year-old amateur soccer players. METHODS: All amateur soccer players who were registered in the 14 sports clubs in the country were invited to participate in this screening study. Players who were present in the club on the assigned examination day were included. The players were examined by two trained and calibrated paediatric dentists for signs of injury to the oral tissues. Injury diagnosis was made according to the Andreasen (2007) epidemiological dental injury classification. The history of any dental injury present at the time of examination was recorded. The timing and nature of any dental advice or treatment sought was also noted. RESULTS: Six hundred sixty-seven (48% inclusion rate) male players were included (mean age of 13.4 +/- 2.6 years). In total, 213 injured teeth were observed among 169 (25%) players. The prevalence of soccer-related injuries was 11%, and a greater number of injuries were observed in older players. Maxillary central incisors were the most frequently injured teeth (91%), and enamel-only fractures represented 60% of all injured teeth. Slightly more TDIs were soccer-related (44%) compared to non-soccer-related injuries (39%), and a large number of TDIs (39%) occurred inside the sports clubs. The prevalence of reported soft-tissue injuries was 18%. The majority of the players (75%) did not receive dental care for their injuries. CONCLUSIONS: A significant number of young Kuwaiti amateur soccer players suffered TDIs. In addition, a high percentage of traumatic injuries were not treated, and there was a lack of the use of protective mouthguards.
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  • Rehman, Shafiqur, et al. (författare)
  • Study of Limit Concentrations of DBDS and Sulfur Mercaptan in Power Transformers
  • 2016
  • Ingår i: 2016 IEEE ELECTRICAL INSULATION CONFERENCE (EIC). - : IEEE conference proceedings. - 9781467387064 ; , s. 37-39
  • Konferensbidrag (refereegranskat)abstract
    • The study presents the results of experimental investigation of finding out the limit concentrations of DBDS and sulfur mercaptan for safe and prolonged operation of power transformers in the local environmental conditions of Saudi Arabia. For experimental investigation of limit concentrations of DBDS and sulfur mercaptan, new oil free of sulfur compounds was acquired. Four specimens of this were spiked with 2.2, 3.9, 5.4 and 10.2 ppm of DBDS and another four with free sulfur mercaptan RSH concentrations of 0.00, 0.52, 1.07, 2.13, and 7.10 ppm. The covered conductor deposition (CCD) tests were performed in accordance with IEC 62535 method on all the specimens. The experimental results indicated that the concentration of DBDS should always be <5 ppm and sulfur mercaptan <1 ppm in the new oils before putting in to the service.
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  • Rosa, Isabel M. D., et al. (författare)
  • Multiscale scenarios for nature futures
  • 2017
  • Ingår i: Nature Ecology & Evolution. - : Springer Science and Business Media LLC. - 2397-334X. ; 1:10, s. 1416-1419
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Targets for human development are increasingly connected with targets for nature, however, existing scenarios do not explicitly address this relationship. Here, we outline a strategy to generate scenarios centred on our relationship with nature to inform decision-making at multiple scales.
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11.
  • Abd-Ellah, Mahmoud Khaled, et al. (författare)
  • A Review on Brain Tumor Diagnosis from MRI Images : Practical Implications, Key Achievements, and Lessons Learned
  • 2019
  • Ingår i: Magnetic Resonance Imaging. - : Elsevier. - 0730-725X .- 1873-5894. ; 61, s. 300-318
  • Tidskriftsartikel (refereegranskat)abstract
    • The successful early diagnosis of brain tumors plays a major role in improving the treatment outcomes and thus improving patient survival. Manually evaluating the numerous magnetic resonance imaging (MRI) images produced routinely in the clinic is a difficult process. Thus, there is a crucial need for computer-aided methods with better accuracy for early tumor diagnosis. Computer-aided brain tumor diagnosis from MRI images consists of tumor detection, segmentation, and classification processes. Over the past few years, many studies have focused on traditional or classical machine learning techniques for brain tumor diagnosis. Recently, interest has developed in using deep learning techniques for diagnosing brain tumors with better accuracy and robustness. This study presents a comprehensive review of traditional machine learning techniques and evolving deep learning techniques for brain tumor diagnosis. This review paper identifies the key achievements reflected in the performance measurement metrics of the applied algorithms in the three diagnosis processes. In addition, this study discusses the key findings and draws attention to the lessons learned as a roadmap for future research.
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  • Abd-Ellah, Mahmoud Khaled, et al. (författare)
  • Classification of Brain Tumor MRIs Using a Kernel Support Vector Machine
  • 2016
  • Ingår i: Building Sustainable Health Ecosystems. - Cham : Springer International Publishing. - 9783319446714 - 9783319446721 ; , s. 151-160
  • Konferensbidrag (refereegranskat)abstract
    • The use of medical images has been continuously increasing, which makes manual investigations of every image a difficult task. This study focuses on classifying brain magnetic resonance images (MRIs) as normal, where a brain tumor is absent, or as abnormal, where a brain tumor is present. A hybrid intelligent system for automatic brain tumor detection and MRI classification is proposed. This system assists radiologists in interpreting the MRIs, improves the brain tumor diagnostic accuracy, and directs the focus toward the abnormal images only. The proposed computer-aided diagnosis (CAD) system consists of five steps: MRI preprocessing to remove the background noise, image segmentation by combining Otsu binarization and K-means clustering, feature extraction using the discrete wavelet transform (DWT) approach, and dimensionality reduction of the features by applying the principal component analysis (PCA) method. The major features were submitted to a kernel support vector machine (KSVM) for performing the MRI classification. The performance evaluation of the proposed system measured a maximum classification accuracy of 100 % using an available MRIs database. The processing time for all processes was recorded as 1.23 seconds. The obtained results have demonstrated the superiority of the proposed system.
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  • Abd-Ellah, Mahmoud Khaled, et al. (författare)
  • Design and implementation of a computer-aided diagnosis system for brain tumor classification
  • 2017
  • Ingår i: 2016 28th International Conference on Microelectronics (ICM). - 9781509057214 ; , s. 73-76
  • Konferensbidrag (refereegranskat)abstract
    • Computer-aided diagnosis (CAD) systems have become very important for the medical diagnosis of brain tumors. The systems improve the diagnostic accuracy and reduce the required time. In this paper, a two-stage CAD system has been developed for automatic detection and classification of brain tumor through magnetic resonance images (MRIs). In the first stage, the system classifies brain tumor MRI into normal and abnormal images. In the second stage, the type of tumor is classified as benign (Noncancerous) or malignant (Cancerous) from the abnormal MRIs. The proposed CAD ensembles the following computational methods: MRI image segmentation by K-means clustering, feature extraction using discrete wavelet transform (DWT), feature reduction by applying principal component analysis (PCA). The two-stage classification has been conducted using a support vector machine (SVM). Performance evaluation of the proposed CAD has achieved promising results using a non-standard MRIs database.
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  • Abd-Ellah, Mahmoud Khaled, et al. (författare)
  • Parallel Deep CNN Structure for Glioma Detection and Classification via Brain MRI Images
  • 2019
  • Ingår i: IEEE-ICM 2019 CAIRO-EGYPT. - : IEEE. ; , s. 304-307
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Although most brain tumor diagnosis studies have focused on tumor segmentation and localization operations, few studies have focused on tumor detection as a time- and effort-saving process. This study introduces a new network structure for accurate glioma tumor detection and classification using two parallel deep convolutional neural networks (PDCNNs). The proposed structure is designed to identify the presence and absence of a brain tumor in MRI images and classify the type of tumor images as high-grade gliomas (HGGs, i.e., glioblastomas) or low-grade gliomas (LGGs). The introduced PDCNNs structure takes advantage of both global and local features extracted from the two parallel stages. The proposed structure is not only accurate but also efficient, as the convolutional layers are more accurate because they learn spatial features, and they are efficient in the testing phase since they reduce the number of weights, which reduces the memory usage and runtime. Simulation experiments were accomplished using an MRI dataset extracted from the BraTS 2017 database. The obtained results show that the proposed parallel network structure outperforms other detection and classification methods in the literature.
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  • Abd-Ellah, Mahmoud Khaled, et al. (författare)
  • TPUAR-Net : Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation
  • 2019
  • Ingår i: Image Analysis and Recognition. - Cham : Springer. ; , s. 106-116
  • Konferensbidrag (refereegranskat)abstract
    • The utilization of different types of brain images has been expanding, which makes manually examining each image a labor-intensive task. This study introduces a brain tumor segmentation method that uses two parallel U-Net with an asymmetric residual-based deep convolutional neural network (TPUAR-Net). The proposed method is customized to segment high and low grade glioblastomas identified from magnetic resonance imaging (MRI) data. Varieties of these tumors can appear anywhere in the brain and may have practically any shape, contrast, or size. Thus, this study used deep learning techniques based on adaptive, high-efficiency neural networks in the proposed model structure. In this paper, several high-performance models based on convolutional neural networks (CNNs) have been examined. The proposed TPUAR-Net capitalizes on different levels of global and local features in the upper and lower paths of the proposed model structure. In addition, the proposed method is configured to use the skip connection between layers and residual units to accelerate the training and testing processes. The TPUAR-Net model provides promising segmentation accuracy using MRI images from the BRATS 2017 database, while its parallelized architecture considerably improves the execution speed. The results obtained in terms of Dice, sensitivity, and specificity metrics demonstrate that TPUAR-Net outperforms other methods and achieves the state-of-the-art performance for brain tumor segmentation.
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16.
  • Burke, Sinead M., et al. (författare)
  • An experimental and modeling study of propene oxidation. Part 2: Ignition delay time and flame speed measurements
  • 2015
  • Ingår i: Combustion and Flame. - : Elsevier BV. - 0010-2180. ; 162:2, s. 296-314
  • Tidskriftsartikel (refereegranskat)abstract
    • Experimental data obtained in this study (Part II) complement the speciation data presented in Part I, but also offer a basis for extensive facility cross-comparisons for both experimental ignition delay time (IDT) and laminar flame speed (LFS) observables. To improve our understanding of the ignition characteristics of propene, a series of IDT experiments were performed in six different shock tubes and two rapid compression machines (RCMs) under conditions not previously studied. This work is the first of its kind to directly compare ignition in several different shock tubes over a wide range of conditions. For common nominal reaction conditions among these facilities, cross-comparison of shock tube IDTs suggests 20-30% reproducibility (2 sigma) for the IDT observable. The combination of shock tube and RCM data greatly expands the data available for validation of propene oxidation models to higher pressures (2-40 atm) and lower temperatures (750-1750 K). Propene flames were studied at pressures from 1 to 20 atm and unburned gas temperatures of 295-398 K for a range of equivalence ratios and dilutions in different facilities. The present propene-air LFS results at 1 atm were also compared to LFS measurements from the literature. With respect to initial reaction conditions, the present experimental LFS cross-comparison is not as comprehensive as the IDT comparison; however, it still suggests reproducibility limits for the LFS observable. For the LFS results, there was agreement between certain data sets and for certain equivalence ratios (mostly in the lean region), but the remaining discrepancies highlight the need to reduce uncertainties in laminar flame speed experiments amongst different groups and different methods. Moreover, this is the first study to investigate the burning rate characteristics of propene at elevated pressures (>5 atm). IDT and LFS measurements are compared to predictions of the chemical kinetic mechanism presented in Part I and good agreement is observed. (C) 2014 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
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  • Gnatiuc, L., et al. (författare)
  • Gaps in using bronchodilators, inhaled corticosteroids and influenza vaccine among 23 high-and low-income sites
  • 2015
  • Ingår i: The International Journal of Tuberculosis and Lung Disease. - : International Union Against Tuberculosis and Lung Disease. - 1027-3719 .- 1815-7920. ; 19:1, s. 21-30
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Increasing access to essential respiratory medicines and influenza vaccination has been a priority for over three decades. Their use remains low in low-and middle-income countries (LMICs), where little is known about factors influencing use, or about the use of influenza vaccination for preventing respiratory exacerbations. METHODS: We estimated rates of regular use of bronchodilators, inhaled corticosteroids and influenza vaccine, and predictors for use among 19000 adults in 23 high-income countries (HICs) and LMIC sites. RESULTS: Bronchodilators, inhaled corticosteroids and influenza vaccine were used significantly more in HICs than in LMICs, after adjusting for similar clinical needs. Although they are used more commonly by people with symptomatic or severe respiratory disease, the gap between HICs and LMICs is not explained by the prevalence of chronic obstructive pulmonary disease or doctor-diagnosed asthma. Site-specific factors are likely to influence use differently. The gross national income per capita for the country is a strong predictor for use of these treatments, suggesting that economics influence under-treatment. CONCLUSION: We still need a better understanding of determinants for the low use of essential respiratory medicines and influenza vaccine in low-income settings. Identifying and addressing these more systematically could improve the access and use of effective treatments.
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  • Kenanidis, Eustathios, et al. (författare)
  • Acetabular dysplasia
  • 2018
  • Ingår i: The adult hip - master case series and techniques. - Cham : Springer. - 9783319641775 - 9783319641751 ; , s. 107-213
  • Bokkapitel (refereegranskat)
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  • Khaled Abd-Ellah, Mahmoud, et al. (författare)
  • Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
  • 2018
  • Ingår i: EURASIP Journal on Image and Video Processing. - : Springer. - 1687-5176 .- 1687-5281. ; 2018
  • Tidskriftsartikel (refereegranskat)abstract
    • Brain tumour is a serious disease, and the number of people who are dying due to brain tumours is increasing. Manual tumour diagnosis from magnetic resonance images (MRIs) is a time consuming process and is insufficient for accurately detecting, localizing, and classifying the tumour type. This research proposes a novel two-phase multi-model automatic diagnosis system for brain tumour detection and localization. In the first phase, the system structure consists of preprocessing, feature extraction using a convolutional neural network (CNN), and feature classification using the error-correcting output codes support vector machine (ECOC-SVM) approach. The purpose of the first system phase is to detect brain tumour by classifying the MRIs into normal and abnormal images. The aim of the second system phase is to localize the tumour within the abnormal MRIs using a fully designed five-layer region-based convolutional neural network (R-CNN). The performance of the first phase was assessed using three CNN models, namely, AlexNet, Visual Geometry Group (VGG)-16, and VGG-19, and a maximum detection accuracy of 99.55% was achieved with AlexNet using 349 images extracted from the standard Reference Image Database to Evaluate Response (RIDER) Neuro MRI database. The brain tumour localization phase was evaluated using 804 3D MRIs from the Brain Tumor Segmentation (BraTS) 2013 database, and a DICE score of 0.87 was achieved. The empirical work proved the outstanding performance of the proposed deep learning-based system in tumour detection compared to other non-deep-learning approaches in the literature. The obtained results also demonstrate the superiority of the proposed system concerning both tumour detection and localization.
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  • Al-Maliki, Laheab A. Jasem, et al. (författare)
  • Bearing Capacity Map for An-Najaf and Kufa Cities Using GIS
  • 2018
  • Ingår i: Engineering. - : Scientific Research Publishing. - 1947-3931 .- 1947-394X. ; 10:5, s. 262-269
  • Tidskriftsartikel (refereegranskat)abstract
    • An-Najaf province is situated in south-western part of Iraq. It is 70 meters above the sea level in the dry desert environment. The city is considered as one of the most important cities in Iraq, facing a fast population growth and continuous development in constructions such as residential complexes, hotels, bridges and shopping malls. Soil investigation data for An-Najaf Province (An-Najaf and Kufa cities) from 464 boreholes drilled by the National Centre for Construction Laboratories & Researches (NCCLR)/Babylon laboratory were used in this research. The data were analysed and possessed using Excel program then represented on the Geographical Information System (GIS) program by Inverse Distance Weighted (IDW) tool to create an allowable bearing capacity map for the soil at depths 0 - 2 meters. The allowable bearing capacity is one of the most important soil characteristics to be considered when making a database for An-Najaf city soil. Geographical Information System GIS program enables to create reliable database for any characteristic and it is one of the best programs to produce an accurate map and allow ease in dealing with it. Those maps cover all the studied areas and by using contour lines, approximate values for no-data areas can be obtained. The results show that the allowable bearing capacity range is 5 - 20 Ton/m2 for both An-Najaf and Kufa cities. Kufa city has the range 5 - 9 Ton/m2. An-Najaf city has the range 7 - 18 at the center, 8 - 10 Ton/m2 at the north eastern part, 7 - 14 Ton/m2 for the north western part, 6 - 12 Ton/m2 at the south eastern and 12 - 19 Ton/m2 at the south western.
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  • Al-Mamoori, Sohaib Kareem, et al. (författare)
  • Chloride, Calcium Carbonate and Total Soluble Salts Contents Distribution for An-Najaf and Al-Kufa Cities’ Soil by Using GIS
  • 2019
  • Ingår i: Geotechnical and Geological Engineering. - : Springer. - 0960-3182 .- 1573-1529. ; 37:3, s. 2207-2225
  • Tidskriftsartikel (refereegranskat)abstract
    • The main objective of the paper is to create geotechnical maps for three soil chemical properties in An-Najaf and Kufa cities’ soil by utilizing of GIS tools. This properties are the chloride concentration, calcium carbonate (CaCO 3) and total soluble salts where they affect the durability of reinforced structural elements. This paper provides an easy accurate way to represent soil properties levels for different depths of soil and create reliable database that will help engineers and decision makers. The data included in this paper were collected for (464) boreholes with depths up to 35 m distributed on residential areas in all of An-Najaf and Kufa cities. Arc-Map of GIS 10.2.1 was used to produce the maps. It has been concluded that chloride content in the soil of the study area range from - 0.01 to 0.99% and with an average of 0.5. The maximum value found in at depth 4–6 m while the minimum value found in location at depth 4–6, 8–10 and 14–16 m. The chloride content in most of An-Najaf province has exceeded the permissible limit and for all, this required taking percussions to protect foundations. While calcium carbonate content in the soil of the study area range from 53 to 0.18 and with an average of 26.6. The maximum and the minimum values found at depth 4–6 m. Calcium carbonate content is within the permissible limits in most locations except in some locations.
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  • Déry, Jean-Pierre, et al. (författare)
  • Arterial access site and outcomes in patients undergoing percutaneous coronary intervention with and without vorapaxar
  • 2016
  • Ingår i: Catheterization and cardiovascular interventions. - : Wiley. - 1522-1946 .- 1522-726X. ; 88:2, s. 163-173
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVES: We evaluated outcomes associated with transradial vs. transfemoral approaches and vorapaxar in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) in the TRACER trial.BACKGROUND: Vorapaxar reduces ischemic events but increases the risk of major bleeding.METHODS: We compared 30-day and 2-year major adverse cardiac events (MACE: cardiovascular death, myocardial infarction, stroke, recurrent ischemia with rehospitalization, and urgent coronary revascularization) and noncoronary artery bypass graft (CABG)-related bleedings in 2,192 transradial and 4,880 transfemoral patients undergoing PCI after adjusting for confounding variables, including propensity for transradial access.RESULTS: Overall, 30-day GUSTO moderate/severe and non-CABG TIMI major/minor bleeding occurred less frequently in transradial (0.9% vs. 2.0%, P = 0.001) vs. transfemoral (1.1% vs. 2.5%, P = 0.005) patients. A similar reduction was seen at 2 years (3.3% vs. 4.7%, P = 0.008; 3.3% vs. 4.9%, P < 0.001, respectively). Transradial was associated with an increased risk of ischemic events at 30 days (OR 1.38, 95% CI 1.11-1.72; P = 0.004), driven primarily by increased periprocedural myocardial infarctions. At 2 years, rates of MACE were comparable (HR 1.14, 95% CI 0.98-1.33; P = 0.096). Although bleeding rates were higher with vorapaxar in transfemoral vs. transradial patients, there was no significant treatment interaction. Also, the access site did not modulate the association between vorapaxar and MACE.CONCLUSIONS: Transradial access was associated with lower bleeding rates and similar long-term ischemic outcomes, suggesting transradial access is safer than transfemoral access among ACS patients receiving potent antiplatelet therapies. Because of the nonrandomized allocation of arterial access, these results should be considered exploratory. © 2015 Wiley Periodicals, Inc.
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  • Douglas, Gavin M., et al. (författare)
  • Hybrid origins and the earliest stages of diploidization in the highly successful recent polyploid Capsella bursa-pastoris
  • 2015
  • Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 112:9, s. 2806-2811
  • Tidskriftsartikel (refereegranskat)abstract
    • Whole-genome duplication (WGD) events have occurred repeatedly during flowering plant evolution, and there is growing evidence for predictable patterns of gene retention and loss following polyploidization. Despite these important insights, the rate and processes governing the earliest stages of diploidization remain poorly understood, and the relative importance of genetic drift, positive selection, and relaxed purifying selection in the process of gene degeneration and loss is unclear. Here, we conduct whole-genome resequencing in Capsella bursa-pastoris, a recently formed tetraploid with one of the most widespread species distributions of any angiosperm. Whole-genome data provide strong support for recent hybrid origins of the tetraploid species within the past 100,000-300,000 y from two diploid progenitors in the Capsella genus. Major-effect inactivating mutations are frequent, but many were inherited from the parental species and show no evidence of being fixed by positive selection. Despite a lack of large-scale gene loss, we observe a decrease in the efficacy of natural selection genome-wide due to the combined effects of demography, selfing, and genome redundancy from WGD. Our results suggest that the earliest stages of diploidization are associated with quantitative genome-wide decreases in the strength and efficacy of selection rather than rapid gene loss, and that non-functionalization can receive a head start through a legacy of deleterious variants and differential expression originating in parental diploid populations.
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28.
  • El-Seedi, Hesham R., et al. (författare)
  • CYTOTOXIC EFFECTS OF THE RED SEA SOFT CORAL SARCOPHYTON TROCHELIOPHORUM
  • 2016
  • Ingår i: Acta Poloniae Pharmaceutica. - : POLSKIE TOWARZYSTWO FARMACEUTYCZNE. - 0001-6837. ; 73:6, s. 1587-1592
  • Tidskriftsartikel (refereegranskat)abstract
    • The present study describes the in vitro cytotoxic effects of soft coral (Sarcophyton trocheliophorum). Soft corals of genus Sarcophyton were reported to contain compounds that arc active against brine shrimp and promote paclitaxel cytotoxicity in the human colon cancer Caco-2 cell line. The a-hexane extract of the soft coral Sarcophyton trocheliophorum induced significant dose-dependent toxicity (LC50 96.7 ppm) compared with ethyl acetate (LC50 120 ppm). We reported the most active cytotoxic level to be correspondence to LC50 values of 20.2, 59.2 ppm and 18.9 and 26 ppm. Accordingly, bio-assay guided fractionation was conducted to identify the bioactive compounds. Arachidonic acid. eicosapentaenoic acid and docosahexaenoic acid were characterized based on GC-MS analyses. Our results demonstrate the value of marine products as a natural source of medicinally interesting cytotoxic compounds.
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29.
  • Fawzy, Iten M., et al. (författare)
  • Design, synthesis and biological evaluation of Novel Curcumin Analogs with anticipated anticancer activity
  • 2015
  • Ingår i: FUTURE JOURNAL OF PHARMACEUTICAL SCIENCES. - : ELSEVIER SCIENCE BV. - 2314-7245. ; 1:1, s. 22-31
  • Tidskriftsartikel (refereegranskat)abstract
    • Context: Extensive research conducted within past years revealed that curcumin is a highly pleiotropic molecule that interacts with a diverse range of molecular targets and hence it possess anti-proliferative activities against tumor cells.The great similarities between curcumin analogs and chalcones inspired their testing against tubulin enzyme activity as recent research revealed that chalcones possess cytotoxic activity associated with tubulin inhibition and interference with microtubule formation, which is essential in mitosis and cell replication. Objective: Novel Curcumin analogs were designed, synthesized and tested for their antitumor activities. Also in silico and in vitro studies has been performed to predict the binding affinity of the target compounds and to test their ability to inhibit tubulin assembly and act as microtubule destabilizing agents. Methods: Six novel curcumin analogs were designed & synthesized with 3,5-dibenzylidenepiperidin-4-one core moiety. Results: Compounds showed interaction energy comparable to or within the range of podophyllotoxin itself when docked into the colchicine binding site of tubulin using the podophyllotoxin-tubulin complex (PDB 1SA1). Conclusion: Compounds showed moderate anticancer activity and moderate ability to destabilize microtubules and thus inhibiting tubulin polymerization, as a result; these compounds could be used for further future development to obtain more potent analogs. (C) 2015 Future University. Production and hosting by Elsevier B.V.
  •  
30.
  • Fawzy, Iten M., et al. (författare)
  • Newly Designed and Synthesized Curcumin Analogs with in vitro Cytotoxicity and Tubulin Polymerization Activity
  • 2015
  • Ingår i: Chemical Biology and Drug Design. - : Wiley. - 1747-0277 .- 1747-0285. ; 86:1, s. 860-870
  • Tidskriftsartikel (refereegranskat)abstract
    • Novel curcumin analogs with 4-piperidone ring were designed, synthesized, and evaluated for their cytotoxic activities against five different cancer cell lines. 3,5-bis(4-Hydroxy-3-methoxybenzylidene)-4-oxo-N-phenylpiperidine-1-carbothioamide (XIIe) exhibited considerable cytotoxic activity with IC50 values in 1-2.5m range. In silico and in vitro, studies were also performed to predict the binding affinity of the target compounds to the -chain of tubulin receptor (PDB code 1SA1) and their abilities to affect microtubules polymerization cycle. 3,5-bis(3-Iodo-5-methoxy-4-propoxybenzylidene)-N-acetylpiperidin-4-one (VIIa) was found to exert 93.3% inhibition of tubulin and destabilization of microtubules in vitro compared to vincristine while, 3,5-bis(3,4,5-trimethoxybenzylidene)-N-benzoylpiperidin-4-one (XIIc) showed high potency in a differentway where it exerted 94.8% stabilization of microtubules in vitro compared to positive control paclitaxel.
  •  
31.
  • Hussein, Mohammad H., et al. (författare)
  • Beta 2 -adrenergic receptor gene haplotypes and bronchodilator response in Egyptian patients with chronic obstructive pulmonary disease
  • 2017
  • Ingår i: Advances in Medical Sciences. - Warsaw, Poland : Elsevier. - 1896-1126 .- 1898-4002. ; 62:1, s. 193-201
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: Chronic obstructive pulmonary disease (COPD) is a multi-factorial disorder caused by environmental determinants and genetic risk factors. Understanding the genetic predisposition of COPD is essential to develop personalized treatment regimens. Beta2-adrenergic receptor (ADRB2) gene polymorphisms have been implicated in the pathogenesis of obstructive pulmonary diseases. This study was conducted to assess the genetic association between Arg16Gly and Gln27Glu polymorphisms and COPD in the Egyptian patients, and to analyze their impact on the clinical outcome and therapeutic response.Patients/methods: The study population included 115 participants (61 COPD patients and 54 healthy controls) were genotyped for the Arg16Gly (rs1042713) and Gln27Glu (rs1042714) polymorphisms. Pulmonary function test was done and repeated in patients after salbutamol inhalation.Results: The Gly16 and Gln27 alleles represented 57% and 70% of the whole study population, and only 3 haplotypes were detected; Arg16/Gln27, Gly16/Gln27, and Gly16/Glu27. Genotypes and haplotypes homozygous for Arg16 and Gln27 were more likely to develop COPD (p<0.05). However, individuals carrying Glu27 allele conferred protection against COPD development (p=0.002). Furthermore, Arg16 genotypes and haplotypes were significantly associated with higher grades of dyspnea, more COPD symptoms and frequent exacerbations. In contrast, patients carrying Glu27 allele had better bronchial airway responsiveness to β2-agonists.Conclusions: Our findings suggested that the ADRB2 gene polymorphisms may have vital role in COPD risk, severity, and bronchodilator response among Egyptian population. Larger epidemiological studies are needed for results validation.
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32.
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33.
  • Prinsen, Cecilia A C, et al. (författare)
  • Navigating the landscape of core outcome set development in dermatology.
  • 2019
  • Ingår i: The Journal of American Academy of Dermatology. - : Elsevier. - 0190-9622 .- 1097-6787. ; 81:1, s. 297-305
  • Tidskriftsartikel (refereegranskat)abstract
    • The development of core outcome sets (COSs; ie, a minimum set of core outcomes that should be measured and reported in all trials or in clinical practice for a specific condition) in dermatology is increasing in pace. A total of 44 dermatology-related COS projects have been registered in the online Core Outcome Measures in Effectiveness Trials database (http://www.comet-initiative.org/studies/search) and include studies on 26 different skin diseases. With the increasing number of COSs in dermatology, care is needed to ensure the delivery of high-quality COSs that meet quality standards when using state-of-the-art methods. In 2015, the Cochrane Skin-Core Outcome Set Initiative (CS-COUSIN) was established. CS-COUSIN is an international, multidisciplinary working group aiming to improve the development and implementation of COSs in dermatology. CS-COUSIN has developed guidance on how to develop high-quality COSs for skin diseases and supports dermatology-specific COS initiatives. Currently, 17 COS development groups are affiliated with CS-COUSIN and following standardized COS development processes. To ensure successful uptake of COSs in dermatology, researchers, clinicians, systematic reviewers, guideline developers, and other stakeholders should use existing COSs in their work.
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