Miracle-dz/UniFAR-FTUs huggingface dataset:
Journal of Water Resources Planning and Management Improving the resilience of post-disaster water distribution systems using a dynamic optimization framework

Abstract: Improving the resilience of water distribution systems (WDSs) to handle natural disasters (e.g., earthquakes) is a critical step towards sustainable urban water management. This requires the water utility to be able to respond quickly to such disaster events and in an organized manner, to prioritize the use of available resources to restore service rapidly whilst minimizing the negative impacts. Many methods have been developed to evaluate the WDS resilience, but few efforts are made so far to improve resilience of a post-disaster WDS through identifying optimal sequencing of recovery actions. To address this gap, a new dynamic optimization framework is proposed here where the resilience of a post-disaster WDS is evaluated using six different metrics. A tailored Genetic Algorithm is developed to solve the complex optimization problem driven by these metrics. The proposed framework is demonstrated using a real-world WDS with 6,064 pipes. Results obtained show that the proposed framework successfully identifies near-optimal sequencing of recovery actions for this complex WDS. The gained insights, conditional on the specific attributes of the case study, include: (i) the near-optimal sequencing of recovery strategy heavily depends on the damage properties of the WDS, (ii) replacements of damaged elements tend to be scheduled at the intermediate-late stages of the recovery process due to their long operation time, and (iii) interventions to damaged pipe elements near critical facilities (e.g., hospitals) should not be necessarily the first priority to recover due to complex hydraulic interactions within the WDS.
Boosting Algorithms for Maximizing the Soft Margin

We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses. Our algorithm achieves robustness by cappingthe distributions on the examples. Our update of the distribution is motivated by minimizing a relative entropy subject to the capping constraints and constraints on the edges of the obtained base hypotheses. The capping constraints imply a soft marginin the dual optimization problem. Our algorithm produces a convex combination of hypotheses whose soft margin is within δ of its maximum. We employ relative entropy projection methods to prove an O( ln N δ ) iteration bound for our algorithm, whereN is number of examples. We compare our algorithm with other approaches including LPBoost, BrownBoost, and SmoothBoost. We show that there exist cases where the number of iterations required by LPBoost grows linearly in N instead of the logarithmic growth for SoftBoost. In simulation studies we show that our algorithm converges about as fast as LPBoost, faster than BrownBoost, and much faster than SmoothBoost. In a benchmark comparison we illustrate the competitiveness of our approach.
The Roadmap for the Arabic Chapter of DBpedia

DBpedia is nowadays considered one of the main sources of structured data on the web that extract its content from Wikipedia and linked to thousands of web resources forming the Linked Open Data. DBpedia faces obstacles, such as the lack of multilingualism that appears clearly in the Arabic domain. From that point of view, the paper on hands draws a roadmap to adhere these obstacles via representing the main vocabularies used in DBpedia, main participants, and best practices. In addition to the representing of our Mapping Methodology for the Arabic Chapter, which we call ACMM. This paper highlights our efforts that considered the first contribution in the deployment of the Arabic Chapter of DBpedia from scratch that increased the number of mapped infoboxes, open the door for development of new applications based on this chapter, as a step in publishing and linking large semantic data in Arabic. Key-Words: Semantic Web; DBpedia; Wikipedia; Mapping; Data Sharing; Arabic Chapter
Temporal trends in physical fitness and obesity among Brazilian children and adolescents between 2008 and 2014

The research aims to assess the trend of the health-related physical fitness over a period comprising 2008-2014, in two cohorts of a voluntary Brazilian school aged children and adolescents. Data was obtained from the database of Project Sport Brazil. The sample comprised children and adolescents aged between 10-17 years, assessed in two cohorts: 2008-2009 (6,281) and 2013-2014 (4,052) from different Brazilian regions. Measurement of the health-related physical fitness included: sit-up abdominal test, sit and reach, nine-minute of running/walking test, and body mass index. Descriptive data analyses and Poisson Logistic Regression were used. Prevalence trends of unhealthy flexibility increased significantly for boys from 35.2% to 38.4% and girls 23.5% to 38.0%, while prevalence on unhealthy abdominal strength/resistance decreased significantly for boys from 35.9% to 30.0% and did not show differences over time for girls. Overweight/obesity increased significantly over time in boys from 18.9% to 23.7%, as well as in girls from 19.4% to 28.0%. Cardiorespiratory fitness (CRF) showed the highest variation over time with a significantly increase of the unhealthy zone for both, boys from 33.4% to 61.3% and girls 33.3% to 66.6%. Therefore, we emphasize the importance of implementation national campaigns and interventions promoting physical activity in order to improve health.
Lead phytoremediation capacity of Puccinellia distans (Jacq.) Parl. using EDTA and DTPA and associated potential leaching risk

This study was conducted to determine phytoextraction efficiency of Puccinellia distans (Jacq.) Parl. for Pb (450 mg kg Pb(NO3)2) and the application of EDTA and DTPA (2.5DTPA, 5DTPA, 2.5EDTA, 5EDTA, 2.5EDTA+2.5DTPA, 2.5EDTA+5DTPA, 5EDTA+2.5DTPA, 5EDTA+5DTPA) on the Pb uptake and the potential for leaching of Pb during the phytoextraction process. Bioconcentration factor (BCF), translocation factor (TF) and tolerance index (TI) were calculated to determine Pb phytoextraction efficiency. Results showed that DTPA appeared to be more toxic to the plant than EDTA. Plants with combined treatments of EDTA and DTPA exhibited higher decrease in biomass compared to those that had received a treatment of EDTA and DTPA alone. 5DTPA and 5EDTA were the most efficient ratio for increasing concentrations of Pb in the shoots. DTPA showed much higher efficiency than EDTA. BCF of the shoot was relatively higher than the BCF of root. Thus, the plant would be applicable for Pb phytoextraction. Addition of chelates had virtually significant effect on Pb uptake by the plant and elevated Pb concentration in the soil and plant parts. Optimum phytoextraction was observed when 5mg kg EDTA and DTPA was added alone in single dosage to reduce the Pb–chelates leaching risk.
Relationship between liquidity and stock returns considering company’s life cycle: The case study of Tehran stock exchange listed companies

The purpose of the present study was to investigate the relationship between liquidity and stock returns with regard to a company’s life cycle. In this descriptive study, correlation analysis was employed as the research method. The statistical population was comprised of the listed companies on Tehran Stock Exchange from 2010 to 2014. The sampling method was systematic elimination sampling. The estimation method for the present model was based on integrated data. This combined method comes from time-series as well as cross-sectional data for 78 companies listed on Tehran Stock Exchange. Considering the company’s life cycle, there was a significantly positive and direct relationship between the variables of liquidity and stock returns; viz., as the liquidity increases, the stock returns grow. In all three categories, the companies were placed in periods of decline, maturation, and growth. The highest coefficient of determination was related to the companies in the growth period with 97 per cent effect.
Inequalities, Employment and Income Convergence: Evidence from Regional Data

This paper explores the relationship between pay inequality and unemployment rates for 187 European Regions from 1984-2003. We measure inequality within the regions -between 16 industrial sectors in each region -and also between the regions: thus the inequality measures are nested. Our model of unemployment employs a panel structure that permits us to separate regional, national and continental influences on European unemployment. This allows us to test whether a tradeoff exists between cohesion and competitiveness. We find no evidence of this tradeoff; instead lower pay inequality is generally associated with a lower regional unemployment rate. We find strong country effects lowering unemployment (relative to the model) in relatively smaller countries such as Ireland, Austria, Portugal and the Netherlands; on the other hand unemployment is high, relative to the model, in Spain and Poland. Time effects reveal the effects of European macroenvironment on regional unemployment. We find an employment penalty associated with the Maastricht Treaty (1992) and its implementation of around four percentage points, lasting until 1998, when a general reduction in unemployment appears to coincide with the arrival of the Euro. Unfortunately, the pattern is again reversed in 2000, coinciding with the implementation of the Lisbon Treaty.
Anti-inflammatory activity of cinnamon oil mediated silver nanoparticles -An in vitro study

Cinnamon is one of the main spice which is not only used for cooking as well as for medicinal purpose. Recently, plant-based silver nanoparticles are explored in various research areas. In this study, Silver nanoparticles were prepared with cinnamon oil using 1mM silver nitrate solution, and its formation was confirmed by using UV vis spectroscopy. The prepared cinnamon oil mediated silver nanoparticles were further researched for its anti-inflammatory property. It is done using a technique by Inhibition of albumin denaturation assay, and the result was compared with standard diclofenac sodium. It was found that there was a dose-dependent inhibitory effect on inflammatory activity and at 100uL, the cinnamon oil mediated silver was showed the almost equal activity of diclofenac sodium, the standard used in the study. Silver nanoparticles synthesised using cinnamon oil exhibited potent anti-inflammatory activity, and hence, it may be used for its anti-inflammatory activity.
DMSO_A_197476 1387..1395

Karamatollah Rahmanian Mohammad Shojaei Abdolreza Sotoodeh Jahromi 1Research Center for Social Determinants of Health, Community Medicine Department, Faculty of Medicine, Jahrom University of Medical Sciences, Jahrom, Iran; 2Research Center for Non-communicable Diseases, Internal Diseases Department, Faculty of Medicine, Jahrom University of Medical Sciences, Jahrom, Iran Purpose: The incidence of obesity is globally increasing and it is a predisposing factor for morbidity and mortality. This study assessed the prevalence of metabolically unhealthy (MU) individuals and its determinants according to body mass index (BMI). Materials and method: In our cross-sectional study, 891 persons aged 30 years or older participated. Participants were classified as obese (BMI ≥30 kg/m), overweight (BMI 25– <30 kg/m and normal weight (BMI <25 kg/m). Metabolic health status was defined using four existing cardio-metabolic abnormalities (elevated blood pressure, elevated serum concentrations of triglyceride and fasting glucose and a low serum concentration of high density lipoprotein cholesterol). Then, two phenotypes were defined: healthy (existence of 0–1 cardio-metabolic abnormalities) and unhealthy (presence of 2 or more cardio-metabolic abnormalities). Result: Overall, 10.9% (95% confidence interval (CI): 8.8–13.0) and 7.2% (95% CI: 5.5–8.9) of participants were MU obese and metabolically healthy obese, respectively. The prevalence of MU was higher in overweight (55.6%; 95% CI: 50.6–60.6, p<0.001) and obese (60.2%; 95% CI: 52.8–67.6, p=0.001) subjects than in individuals with a normal weight (37.5%; 95% CI: 29.4–42.6). Multiple logistic regression analysis showed an association of a MU state with age and dyslipidaemia in the BMI subgroups and with female sex in the normal weight individuals. Conclusion: The prevalence of a MU state increased with increasing BMI. Ageing and dyslipidaemia were associated with an unhealthy metabolic state in normal weight, overweight and obese subjects and with the female sex in normal weight subjects.
Hindrance to the Integration of e-learning Adoption in Nigerian Universities

Electronic learning or online learning is a part of recent education which is dramatically used in universities all over the world. As well as the use and integration of e-learning is at the crucial stage in all developing countries. It is the most significant part of education that enhances and improves the educational system. This paper is to examine the hindrances that influence e-learning in Nigerian university system. In order to have an inclusive research, a case study research was performed in Evangel University, Akaeze, southeast of Nigeria. The paper demonstrates similar hindrances on country side. This research is a blend of questionnaires and interviews, the questionnaires was distributed to lecturers and an interview was conducted with management and information technology unit. Research had shown the use of e-learning in university education which has influenced effectively and efficiently the education system and that the University education in Nigeria is at the crucial stage of e-learning. Hence, some of the hindrances are avoiding unbeaten integration of e-learning. The aim of this research is to unravel the barriers that impede the integration of e-learning in universities in Nigeria. Nevertheless, e-learning has modified the teaching and learning approach but integration is faced with many challenges in Nigerian University.
HCI and E-Learning: Developing a Framework for Evaluating E-Learning

This chapter developed a framework for evaluating e-learning for use in Human Computer Interaction (HCI). A systems approach was used in the study; input, processes and output. It discussed the different assumptions about how people learn; behaviorism, cognitivism and constructivism. Further, it examined the common threads in the definitions of e-learning and the literature on evaluation of e-learning models. Nine categories of evaluation of e-learning were identified but five were reviewed because the remaining four overlapped. Two separate evaluations were reviewed under each category, making a total of ten reviews. The reviews showed that the evaluations were not conducted in the same way even within the same category making comparisons difficult. The framework was developed from the highlights in the review. The developed framework can be used to evaluate different e-learning modules along common lines making it easy to compare evaluations. It is hoped that over the next few years, a consistency in evaluations of e-learning would be achieved for use in HCI.
YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction

We participated in the BioNLP 2019 Open Shared Tasks: binary relation extraction of SeeDev task. The model was constructed us- ing convolutional neural networks (CNN) and long short term memory networks (LSTM). The full text information and context information were collected using the advantages of CNN and LSTM. The model consisted of two main modules: distributed semantic representation construction, such as word embedding, distance embedding and entity type embed- ding; and CNN-LSTM model. The F1 value of our participated task on the test data set of all types was 0.342. We achieved the second highest in the task. The results showed that our proposed method performed effectively in the binary relation extraction.
Bacteriological characterization of Salmonella species isolated from laying ducks

The current study was aimed to investigate the incidence and bacteriological characterization of Salmonella serovars in laying ducks. A total of 52 samples of laying ducks were collected from different farms in Kalubia governorate, Egypt. Samples were isolated from liver, spleen, ovaries, oviducts and intestine. Salmonella isolation revealed a total percentage of 2%; ovaries & oviducts revealed a high incidence among the examined samples (4%), followed by liver & intestine with incidence of 3 and 1%, respectively. The results revealed one isolate of Salmonella strain which subjected to biochemical and serological identification. The isolated Salmonella was identified as being a non-lactose fermenting, (NLFs) Gram negative rod-shaped organism, oxidase negative, catalase positive, indole and Voges Proskauer (VP) negative, methyl red and Simmons citrate positive, H 2 S producing and urea negative. The isolated Salmonella serotyped as S. Typhimurium O1, 4, [5], 12: i : 1, 2 at Serological Department of Animal Health Research Center. Antimicrobial sensitivity test was conducted on the isolated Salmonella Typhimurium which showed resistance to doxycycline, ampicillin, gentamycin, colistin, vancomycin and neomycin.
Implicit Surface Representations As Layers in Neural Networks

Implicit shape representations, such as Level Sets, provide a very elegant formulation for performing computations involving curves and surfaces. However, including implicit representations into canonical Neural Network formulations is far from straightforward. This has consequently restricted existing approaches to shape inference, to significantly less effective representations, perhaps most commonly voxels occupancy maps or sparse point clouds. To overcome this limitation we propose a novel formulation that permits the use of implicit representations of curves and surfaces, of arbitrary topology, as individual layers in Neural Network architectures with end-to-end trainability. Specifically, we propose to represent the output as an oriented level set of a continuous and discretised embedding function. We investigate the benefits of our approach on the task of 3D shape prediction from a single image; and demonstrate its ability to produce a more accurate reconstruction compared to voxel-based representations. We further show that our model is flexible and can be applied to a variety of shape inference problems.
WST 47(10) 117-122

Bisphenol A (BPA) is widely used for the production of epoxy resins and polycarbonate plastics and is considered an endocrine disruptor. Special in vitro test systems and animal experiments showed a weak estrogenic activity. Aquatic wildlife especially could be endangered by waste water discharges. To manage possible risks arising from BPA emissions the major fluxes need to be investigated and the sources of the contamination of municipal treatment plants need to be determined. In this study, five major industrial point sources, two different household areas and the influent and effluent of the corresponding treatment plant (WWTP) were monitored simultaneously at a plant serving 120,000 population equivalents. A paper producing plant was the major BPA contributor to the influent load of the wastewater treatment plant. All the other emissions from point sources, including the two household areas, were considerably lower. The minimum elimination rate in the WTTP could be determined at 78% with an average of 89% of the total BPAload. For a possible pollution-forecast, or for a comparison between different point sources, emission factors based on COD-emissions were calculated for industrial and household point sources at BPA/CODratios between 1.4 × 10–6 –125 × 10–6 and 1.3 × 10–6–6.3 × 10–6, respectively.
Pinna rudis ( Linnaeus , 1758 ) in a Western Mediterranean Marine Protected Area

Coastal ecosystems are being extensively degraded by human activities. Benthic, slow-growing and long-lived species are highly vulnerable to these impacts. Marine protected areas may avoid biodiversity losses through habitat protection. The pen shell Pinna rudis is a protected species, but scarce data are available on its ecology and biology. The present study is a comprehensive ecological study encompassing several unknown aspects of the growth and inner record in relation to habitat types, density and size distribution. During the summers of 2011, 2012 and 2013, a total of 418 strip transects were conducted by scuba diving in the Marine Protected Area of Cabrera National Park (39.14° N, 2.96° E). Samples were conducted across different habitats and depths, exploring 152,146.35 m2 in total. A large range of sizes and ages were recorded within the park with densities ranging from 0 to 6.89 ind. /100 m2. Most pen shells were patchily distributed and concentrated mainly in caves. Two hotspots represented the highest densities ever recorded worldwide, showing a potential link to high larval accumulation and settlement. The population size structure showed a unimodal distribution with shell width ranging from 6.2 to 25.0 cm, with an average shell width of 16.0 ± 3.4 cm. The absolute growth was asymptotic, with a maximum age of 28-31 years and length of 45 cm. This study on the biology and ecology of a well-established population of Pinna rudis in the Western Mediterranean could set a baseline for the conservation of this species in other areas.
Evaluating the expression of ERG gene in acute myeloblastic leukemia in north east of Iran

Introduction: Erythroblast transformation specific Related Gene (ERG) is a member of ETS transcription factors family, which act as a regulator of primary hematopoietic cell differentiation. Previous researches suggested proto-oncogene for response to mitogenic signal of different cell with MAP kinase and help to tumorgenesis, apoptotic and prognostic role for ERG gene in acute myeloid leukemia (AML) patients. The aim of his study was to evaluate ERG gene expression level in AML cases compare to control group. Materials and methods: For analysis of gene expression, total RNA was isolated from bone marrow (BM) and peripheral blood of AML `s patient. This study was conducted on 54 AML patients and 54 healthy individuals as control group. ERG gene expression and reference gene glucose-6-phosphate isomerase (GPI) was assessed by using real-time polymerase chain reaction (RT-PCR) method. Clinical and laboratory findings studied cases were extracted from medical documents. Results: This study results indicated that the level of ERG gene expression in AML patients had no significant differences compare to control group (1.81±2.41) (P <0.05), Also ERG gene expression was correlated to patients hematocrit (P <0.05). Conclusion: This research recommends that there were no significant relation between ERG expression and control groups. It seems that ERG gene assessment is not a good index for AML patient’s evaluation.
Extensible Data Model with Applications for Trading Systems

An extensible main-memory data model is presented with applications in writing client-server components both on the server side as well as in the client applications domain. Such a model is required in applications where end user base clients have specific needs and it offers a framework within which various services are implemented based on a common extensible core. The end result of the proposed implementation is a core set of services that uses an XML based API which can be used to define data structures, events and actions in an easily usable package that allows iterative updates and evolution of the environment. Use cases are presented for the implementation of trading systems used in the capital markets.