Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutrient Dynamics in Flooded Wetlands. I: Model Development

AbstractWetlands are rich ecosystems recognized for ameliorating floods, improving water quality, and providing other ecosystem benefits. This part of a two-paper series presents a relatively detailed process-based model for nitrogen and phosphorus retention, cycling, and removal in flooded wetlands. The model captures salient features of nutrient dynamics and accounts for complex interactions among various physical, biogeochemical, and physiological processes. The model simulates oxygen dynamics and the impact of oxidizing and reducing conditions on nitrogen transformation and removal, and approximates phosphorus precipitation and releases into soluble forms under aerobic and anaerobic conditions, respectively. Nitrogen loss pathways of volatilization and denitrification are explicitly accounted for on a physical basis. Processes in surface water and the bottom-active soil layer are described by a system of coupled ordinary differential equations. A finite-difference numerical scheme is implemented to so.
Beta-Blockers, a Spanner in the Works for Acute Management of Migraine?

Many patients suffer with migraine and do not feel their therapeutic needs are met, particularly in acute treatment. Betablockers are inexpensive, well-tolerated medications licensed for prophylaxis of migraine but not for acute treatment of episodic migraine (EM). However, this is based on trials that are possibly too narrow. A known association exists between migraine and various psychological disorders. In particular, anxiety disorder is implicated as a trigger and a pain modulator affecting experience and reporting of migraine. This case report highlights the need for a larger randomizedcontrolled trial assessing the efficacy of beta-blockers for the acute treatment of migraines, and in particular reviewing their effect in those patients with an associated anxiety disorder.
Incidence of Campylobacter species in wholesale chicken carcasses and chicken meat products in Assiut city , Egypt

Campylobacter was investigated in chicken meat and chicken meat product harvested in Assiut. The conventional isolation method were used for isolation of campylobacter and further confirmed by polymerase chain reaction (PCR). Out of ninety samples of fresh, frozen whole chicken carcasses and chicken based products (30 samples each), 20/30 (66.7%) was positive for Campylobacter by conventional isolation method in each of examined fresh and frozen whole chicken carcasses. Two samples were isolated from chicken nuggets. Campylobacter couldn’t be detected in chicken burger. Eighty percent (16/20) was positive for campylobacter genus by the simplex PCR in each of examined fresh and frozen whole chicken carcass. Equal frequencies of C. jejuni (87.5%) fourteen out of sixteen samples confirmed positive for Campylobacter genus by the simplex PCR) were noticed in each of examined fresh and frozen whole chicken carcasses, while C. coli detected at rate of 14/16(87.5%) and 12/16(75%), respectively by duplex PCR assay. Both of C. jejuni and C. coli were detected and confirmed by duplex PCR in the two positive samples of chicken nuggets. According to this study, it appears that the incidence of C. jejuni and C. coli almost equal in the examined samples. Also nearly the same rate of occurrence of campylobacter in fresh and frozen chicken carcass, but in chicken meat products is very low.
Indoor radon measurements by nuclear track detectors: Applications in secondary schools

Indoor radon measurements by nuclear track detectors and application of the method in secondary schools in Serbia were performed in the spring 2004. Thirty detectors (type CR-39) were distributed to high school teachers in several cities in Serbia. After three months of the detectors exposure, they were sent back to the Low- Level Laboratory, Institute of Physics, Belgrade. After exposure, the CR-39 detectors were etched in a 6N NaOH at 700C for 3 hours. The tracks were counted by the semiautomatic track-counting system. The preliminary results are presented in this paper.
Accurate and realistic initial data for black hole-neutron star binaries

This paper is devoted to the computation of compact binaries composed of one black hole and one neutron star. The objects are assumed to be on exact circular orbits. Standard 3+1 decomposition of Einstein equations is performed and the conformal flatness approximation is used. The obtained system of elliptic equations is solved by means of multi-domain spectral methods. Results are compared with previous work both in the high mass ratio limit and for one neutron star with very low compactness parameter. The accuracy of the present code is shown to be greater than with previous codes. Moreover, for the first time, some sequences containing one neutron star of realistic compactness are presented and discussed.
Running head: ROUTINE VALIDATION OF AUDIO-VISUAL INFORMATION 1 Don’t Believe Everything You Hear: Routine Validation of Audio-Visual Information in Children and Adults

Previous research has shown that the validation of incoming information during language comprehension is a fast, efficient and routine process (epistemic monitoring). Previous research on this topic has focused on epistemic monitoring during reading. The present study extended this research by investigating epistemic monitoring of audio-visual information. In a Stroop-like paradigm, participants (Experiment 1: adults; Experiment 2: 10 year-old children) responded to the probe words “correct” and “false” by keypress after the presentation of auditory assertions that could be either true or false with respect to concurrently presented pictures. Results provide evidence for routine validation of audio-visual information. Moreover, the results show a stronger and more stable interference effect for children compared to adults.
THE EFFECTS OF SODIUM VALPROATE MONOTHERAPY ON THE BODY’S VITAMIN K STATUS IN CHILDREN ÇOCUKLARDA SODYUM VALPROAT MONOTERAPİSİNİN

DOI: 10.4328/JCAM.4988 Received: 20.03. 2017 Accepted: 05.04. 2017 Printed: 01.04. 2017 J Clin Anal Med 2017;8(suppl 2): 150-4 Corresponding Author: Adnan Ayvaz, Department of Child Neurology, Okan University Hospital, 34947 Tuzla, Istanbul, Turkey. GSM: +905339218131 E-Mail: aayvaz@ttmail.com Öz Amaç: Çalışmamızda, daha önce literatürde bulunmayan, sodyum valproat (VPA) kullanan çocuklarda vücut K vitamini durumunu ve bir yıllık VPA kullanımının K vitamini durumuna etkilerini incelemeyi amaçladık. Gereç ve Yöntem: Cumhuriyet Üniversitesi Tıp Fakültesi, Çocuk Nöroloji Bilim Dalında bir yıllık sürede, ileriye dönük olarak yapılan çalışmaya, 4-17 yaşlar arasında ilk kez antiepileptik ilaç (VPA) başlanan 25 olgu (14 erkek, 11 kız) ile benzer yaş gurubundan 25 (12 erkek, 13 kız) çocuk kontrol grubu olarak alındı. Tanner kriterlerine göre pre-puberte ve puberte olarak iki gruba ayrılan hastaların tedavi öncesi ve tedaviden bir yıl sonra osteokalsinin karboksile (cOC) ve unkarboksile (ucOC) fraksiyonları ELISA (enzime linked immun assay) yöntemi ile ölçüldü. Unkarboksile osteokalsinin karboksile osteokalsine oranı UCR (Uncarboksile Carboksile Rate) olarak, başlangıç ve sonuç UCR’leri arasındaki fark Delta-UCR olarak tanımlandı. Bulgular: Karboksile osteokalsin prepuberte grubunda minimal bir artış göstermesine karşın puberte grubunda azaldığı görüldü. Unkarboksile osteokalsinin pre-puberte grubunda daha fazla olmak üzere her iki grupta da başlangıç değerlerine göre azaldığı görüldü. UCR değerleri pre-puberte grubunda azalma, puberte grubunda ise artma gösterdi. Puberte grubunda Delta UCR’nin negatif bir değer aldığı görüldü. Tartışma: Pre-puberte grubu hastalarımız için VPA kullanılmasının, kemik K vitamini durumunu negatif sonuçlar gösterecek kadar kötü etkilemediği görülmüştür. Çalışmamızın sonuçları, puberte grubu hastalarımızda vücut K vitamin durumunun bozulma eğiliminde olduğunu (UCR’de artış), ihtiyacı karşılamada zayıflama olduğunu (cOC’de azalma) ve kemik metabolizmasının olumsuz etkilendiğini (Delta UCR’nin negatif değeri) göstermektedir.
The impact of investor sentiment on the German stock market

This paper develops a broad-based sentiment indicator for Germany and investigates whether investor sentiment can explain stock returns on the German stock market. Based on a principal component analysis, we construct a sentiment indicator that condenses information of several well-known sentiment proxies. We show that this indicator explains the return spread between sentiment sensitive stocks and stocks that are not sensitive to sentiment fluctuations. Specifically, stocks that are difficult to arbitrage and hard to value are sensitive to the indicator. However, we do not find much predictive power of sentiment for future stock returns.
Modelling Customer's Attitude Towards E-Government Services

e-Government structures permits the government to operate in a more transparent and accountable manner of which it increases the power of the individual in relation to that of the government. This paper identifies the factors that determine customer’s attitude towards e-Government services using a theoretical model based on the Technology Acceptance Model. Data relating to the constructs were collected from 200 respondents. The research model was tested using Structural Equation Modeling (SEM) techniques via the Analysis of Moment Structure (AMOS 16) computer software. SEM is a comprehensive approach to testing hypotheses about relations among observed and latent variables. The proposed model fits the data well. The results demonstrated that e- Government services acceptance can be explained in terms of compatibility and attitude towards e-Government services. The setup of the e-Government services will be compatible with the way users work and are more likely to adopt e-Government services owing to their familiarity with the Internet for various official, personal, and recreational uses. In addition, managerial implications for government policy makers, government agencies, and system developers are also discussed.
Withdrawn as Duplicate: Survey geometry and the internal consistency of recent cosmic shear measurements

M. A. Troxel, E. Krause, C. Chang, T. F. Eifler, O. Friedrich, D. Gruen, N. MacCrann, A. Chen, C. Davis, J. DeRose, S. Dodelson, M. Gatti, B. Hoyle, D. Huterer, M. Jarvis, F. Lacasa, P. Lemos, H. V. Peiris, J. Prat, S. Samuroff, C. Sánchez, E. Sheldon, P. Vielzeuf, M. Wang, J. Zuntz, O. Lahav, F. B. Abdalla, S. Allam, J. Annis, S. Avila, E. Bertin, D. Brooks, D. L. Burke, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, M. Crocce, C. E. Cunha, C. B. D’Andrea, L. N. da Costa, J. De Vicente, H. T. Diehl, P. Doel, A. E. Evrard, B. Flaugher, P. Fosalba, J. Frieman, J. Garcı́a-Bellido, E. Gaztanaga, D. W. Gerdes, R. A. Gruendl, J. Gschwend, G. Gutierrez, W. G. Hartley, D. L. Hollowood, K. Honscheid, D. J. James, D. Kirk, K. Kuehn, N. Kuropatkin, T. S. Li, M. Lima, M. March, F. Menanteau, R. Miquel, J. J. Mohr, R. L. C. Ogando, A. A. Plazas, A. Roodman, E. Sanchez, V. Scarpine, R. Schindler, I. Sevilla-Noarbe, M. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E. C. Swanson, D. Thomas, A. R. Walker and R. H. Wechsler
Charcoal Potential in Southern Africa CHAPOSA

CHAPOSA project . 5 Objectives . 5 Activities.5 Methodologies . 5 Results.5 Problems . 5 Steps taken to ensure application of the results.5 Final summary report . 6 Objectives . 6 Activities.6 Methodologies . 7 Results.7 Policy options . 10 Recommendations.11 Problems . 12 Steps taken to ensure application of the results.12 Consolidated scientific report . 13 Objectives . 13 Activities.13 Results achieved.14 Summary.37 Conclusions.38 Recommendations.39 Problems encountered.40 Technology implementation plan.40 Publications and papers.41 Management report . 43 Organization of the collaboration . 43 Meetings.43 Exchanges . 43 Problems . 43 Individual partner reports . 44 University of Zambia report . 45 Objectives . 45 Activities.45 Results.46 Problems encountered.49 Publications and papers.49 Conclusion . 50 Training.50 Sokoine University of Agriculture, Tanzania partner report . 51 Objectives . 51 Activities.51 CHAPOSA Project INCO-DEV ERBIC18CT980278 Final report 4 Results.52 Social and legal aspects of charcoal production in some selected sites of eastern tanzania.56 Charcoal Transportation, Marketing And Consumption.57 Limitations . 60 Policy options . 60 University Eduardo Mondlane, Mozambique partner report . 64 Introduction.64 The Maputo study area.65 Forest types . 65 Land use and tenure . 66 Forest growth rates.67 Vegetation changes . 67 Charcoal production.68 Social, economic and legal aspects of charcoal production . 69 The role of charcoal production in rural areas . 69 The legal aspect.69 The economic aspects of charcoal manufacturing and trade.69 Transport, market and wood fuel consumption.70 Indicators of over-exploitation.71 References.74 University of Stuttgart, German partner report.76 Objectives . 76 Results of the Energy model calculations based on the final report and their references . 77 Trainings . 80 Minutes from CHAPOSA meeting in Tanzania to collect and discuss data for the model. 26P P June to 2PP July 2001 . 80 TaTEDO.80 Energy Sector in Tanzania . 81 CHAPOSA Discussion .
Cultural (Re)production of digital inequality in a US community technology initiative

In the US, community technology centers (CTC) are a policy response to facilitate the diffusion of information and communication technologies (ICT) to citizens who might otherwise lack access to these resources. The implicit assumption guiding CTC initiatives is that access to ICT will improve the life chances of the individuals who become involved in these centers. It is, however, prudent to empirically examine this assumption because the case for community technology interventions is somewhat weakened if the benefits of ICT use fail to accrue to those who are disadvantaged. Informed by Bourdieu's theory of reproduction, this study of a CTC initiative in an inner-city community explores the role of culture in reproducing digital inequality. Digital inequality reflects not only disparities in the structure of access to and use of ICT; it also reflects the ways in which longstanding social inequities shape beliefs and expectations regarding ICT and its impacts on life chances. While this initiative is considered successful in the sense that it provided access and basic computer literacy to residents lacking these resources, it represents a technology-centric fix to a problem that is deeply rooted in systemic patterns of spatial, political and economic disadvantage.
Comparing Data Mining Techniques in HIV Testing Prediction

Introduction: The present work compared the prediction power of the different data mining techniques used to develop the HIV testing prediction model. Four popular data mining algorithms (Decision tree, Naive Bayes, Neural network, logistic regression) were used to build the model that predicts whether an individual was being tested for HIV among adults in Ethiopia using EDHS 2011. The final experimentation results indicated that the decision tree (random tree algorithm) performed the best with accuracy of 96%, the decision tree induction method (J48) came out to be the second best with a classification accuracy of 79%, followed by neural network (78%). Logistic regression has also achieved the least classification accuracy of 74%. Objectives: The objective of this study is to compare the prediction power of the different data mining techniques used to develop the HIV testing prediction model. Methods: Cross-Industry Standard Process for Data Mining (CRISP-DM) was used to predict the model for HIV testing and explore association rules between HIV testing and the selected attributes. Data preprocessing was performed and missing values for the categorical variable were replaced by the modal value of the variable. Different data mining techniques were used to build the predictive model. Results: The target dataset contained 30,625 study participants. Out of which 16,515 (54%) participants were women while the rest 14,110 (46%) were men. The age of the participants in the dataset ranged from 15 to 59 years old with modal age of 15 - 19 years old. Among the study participants, 17,719 (58%) have never been tested for HIV while the rest 12,906 (42%) had been tested. Residence, educational level, wealth index, HIV related stigma, knowledge related to HIV, region, age group, risky sexual behaviour attributes, knowledge about where to test for HIV and knowledge on family planning through mass media were found to be predictors for HIV testing. Conclusion and Recommendation: The results obtained from this research reveal that data mining is crucial in extracting relevant information for the effective utilization of HIV testing services which has clinical, community and public health importance at all levels. It is vital to apply different data mining techniques for the same settings and compare the model performances (based on accuracy, sensitivity, and specificity) with each other. Furthermore, this study would also invite interested researchers to explore more on the application of data mining techniques in healthcare industry or else in related and similar settings for the future.
The Relationship between Meaning in Life, Emotions and Psychological Illness: The Moderating Role of the Effects of the Economic Crisis

Despite the negative effects of financial crisis in a great variety of positive, individual variables and psychopathology, no study has ever examined the mediating role of economic crisis variables in the relationship between positive variables such as meaning in life and positive emotions and psychopathology. The present study aims in examining these relationships. Participants included 4.597 Greek adults and the study conducted between 2010 and 2014. The Modified Differential Emotions Scale was used to assess positive and negative emotions, the Meaning in Life Questionnaire was used to assess presence of meaning and searching for meaning in life, the Depression, Anxiety and Stress Scale was used to measure the symptoms of depression, anxiety and stress and an Economic Crisis Effects Scale was constructed in order to measure the practical and emotional economic crisis consequences and the fear to make changes in life. Results revealed that women scored significantly higher than men in psychopathology variables, negative emotions, searching for meaning in life and financial crisis variables. It was also found that employed scored significantly higher than unemployed in presence of meaning in life, whereas unemployed scored higher on psychopathology variables, negative emotions, searching for meaning in life and economic crisis consequences. Further, results showed the existence of composite prediction models among meaning in life, psychopathology and emotion variables. It was also found that economic crisis consequences, fear to make changes in life and unemployment were significant mediators of each of the predictive relationships between psychopathology, meaning in life and emotion variables.
Header: Rumen Epithelial Adaptation And Ruminal Acidosis

Header: Rumen Epithelial Adaptation And Ruminal Acidosis 1 2 3 Bovine Rumen Epithelium Undergoes Rapid Structural Adaptations During Grain4 Induced Subacute Ruminal Acidosis 5 Michael A. Steele, Jim Croom, Melissa Kahler, Ousama ALZahal, Sarah E. Hook, Kees 6 Plaizier, Brian W. McBride 7 Department of Animal and Poultry Science, University of Guelph, Guelph, Canada 8 Department of Poultry Science, University of North Carolina, Raleigh, USA 9 Department of Animal Science, University of Manitoba, Winnipeg, Canada 10 11 12 Corresponding author 13 14 E-mail: Michael A Steele msteele@uoguelph.ca; Jim Croom – jim_croom@ncsu.edu; Melissa 15 Kahler – mkahler@uoguelph.ca; Ousama ALZahal – oalzahal@uoguelph.ca; Sarah Hook – 16 shook@uoguelph.ca; Kees Plaizier plaizier@ms.umanitoba. ca; Brian W McBride – 17 bmcbride@uoguelph.ca 18 19 20 21 22 23 Articles in PresS. Am J Physiol Regul Integr Comp Physiol (March 30, 2011). doi:10.1152/ajpregu.00120. 2010
Collective Participation in Organizational Innovation: An Empirical Examination of ERP Implementation

Organizational innovation is subject to influences from different levels, including the individual, organizational, and environmental levels. The effect of participation on organizational innovation has received only limited attention from scholars. The primary purpose of this research is to explore the factors that influence the extent of collective participation in implementing organizational innovation. With a paired mail survey, this study investigated a model of group participation in the context of ERP implementation. ERP project leaders and major user managers from 128 manufacturing firms completed the paired questionnaires on participation factors and the success of the ERP system. The results from a Partial Least Squares analysis of the data found that willingness to participate, top management commitment, and commitment to learning contribute to the group cohesion and perceived respect. Both group cohesion and perceived respect, in turn, influence the organizational benefits of the ERP system. The results of the study offer some suggestions for the management of and the research on organizational innovations.
The engineer grapples with nonlinear problems

I do not believe that one could connect justly the name of Gibbs with practical applications of applied mathematics, for his main interest was certainly centered on basic conceptions of mathematical physics. Nevertheless, for example, his beautiful work on graphical methods in thermodynamics is a brilliant example of the presentation of theoretical relations in a form which appeals to the engineer. This lecture is intended as an effort to improve the convergence between the viewpoints of mathematics and engineering. Thus, I feel it is not inappropriate to dedicate it to the memory of Josiah Willard Gibbs. Engineering mathematics is generally considered as a collection of mathematical methods adapted for the solution of relatively simple problems. These problems often might require lengthy numerical calculations or graphical constructions, but supposedly can be worked out without the use of advanced methods of mathematical analysis. This description was perhaps correct some decades ago ; today a large group of scientific workers is engaged in applying various methods of classical and modern analysis to problems in electrical, civil, mechanical, aeronautical and also chemical engineering. It is not possible to give an exhaustive list of all types of problems which require the applications of advanced analytical methods. In the following table merely some of the most important engineering problems and the mathematical concepts and methods involved in their treatment are indicated :
Stocking Density and Supplemental Feeding

Pond carrying capacity is largely determined by management practices. Earlier work on semiintensive culture of tilapia using manure or inorganic fertilizers indicated that carrying capacity might reach 2,000 to 3,000 kg/ha (Diana et al. 1991a, b; KnudHansen et al. 1991). As stocking density is increased in fertilized ponds, carrying capacity remains largely the same and density-dependent growth occurs (Diana et al. 1991b). Thus the ultimate size of fish at harvest is largely related to density stocked in fertilized ponds, while biomass at harvest is more consistent regardless of stocking density. Maximum size at harvest for these fertilized ponds is approximately 250 g for fish grown five months.