Miracle-dz/UniFAR-FTUs huggingface dataset:
Profile of Fever of Unknown Origin in Children and the Role of Investigation: An Observational Study

Objectives: Fever of Unknown Origin (FUO) in children remains difficult to diagnose. This prospective, observational study aimed to determine the clinico-etiological profile and the role of clinical procedures in establishing the diagnosis. Methods: Children (between 1 month and 16 years) with prolonged fever meeting the criteria of FUO were included. A detailed medical history, physical examination and laboratory tests were conducted according to an algorithm (phase I-III). Clinical procedures that were useful in obtaining final etiology were evaluated. Results: In total, 69 children were enrolled, categorized into five groups based on etiology of FUO. Infections (31.8%) were the leading cause followed by malignancy (20.2%), connective tissue disorder and miscellaneous conditions (14.5%); undiagnosed patients (18.8%) had either a spontaneous resolution or incomplete workup. Duration of fever was 20-60 days, longer in malignancies, least in infections and mean ± SD duration between admission and a definitive diagnosis was 5.65 ± 1.06 days. Tuberculosis was the most common among the infections, systemic onset juvenile idiopathic arthritis and Common acute lymphoblastic leukemia antigen positive B cell acute lymphoblastic leukemia were common causes of connective tissue disorder and malignancy, respectively. The diagnosis was established by Phase II (33.3%) and Phase III (34.8%) investigations. Non-invasive and invasive investigations were useful in 56.3%, and 43.7 %, respectively. Conclusions: Infections are the most common cause of FUO in children followed by malignancy. A stepwise approach is useful in diagnosis. Infections and connective tissue disorders are diagnosed by non-invasive investigations while malignancy and miscellaneous conditions by invasive investigations. Focused clinical and diagnostic approach is mandated. J Microbiol Infect Dis 2019; 9(3):137-143.
VMRR_A_224514 215..222

1Metabolic Disease Research Center, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran; 2Breast Disease Research Center, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran; 3Department of Pediatrics, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran; 4Department of Urology, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran; 5Department of Surgery, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran; 6Student Research Committee, Faculty of Medicine, Sari University of Medical Sciences, Sari, Iran; 7Department of Surgery, Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran Objective: To evaluate the effects of azelnidipine-carboxyl methyl cellulose (AZL-CMC)
The effect of talent management processes on knowledge creation

Purpose The purpose of this paper is to develop a theoretical model and investigate the relationship between talent management (TM) processes and knowledge creation (KC) in Australian public and private universities. This is because of the pragmatic advantages for organisations that focus on talents and knowledge. Design/methodology/approach This research adopted the mixed-methods design. The sample comprised 23 individuals for the qualitative study and 286 individuals for the quantitative survey questionnaire, all conducted in nine public and private universities in Australia. Findings The qualitative outcomes were utilised to develop the quantitative survey statement. These outcomes are based on a three-stage method of thematic analysis. The core conclusion of the quantitative study is that there is a significantly positive influence on TM processes (TMPs) on KC. Research limitations/implications The principle limitation of this study was the scope. It only targeted one country (Australia), one state (Queensland) and a part of the higher education sector (the university). Practical implications This research designed a quantitative instrument of TMPs and KC for the Australian educational institutions. The instrument is severely designed and comprehensively conceptualised utilising social, excellent, performance, strategic, behavioural and developmental concepts within TMPs with innovative, informational and technological concepts underlining KC within the Australian public and private universities in Queensland. Originality/value The study adds value to both TM and knowledge management literature through designing a conceptual model that links both of these variables in one tool regarding the university sector.
Artificial neural network modeling the removal of basic blue 9 by modified tea waste with magnetically Fe3O4 nanoparticles and surfactant

Enhancing the adsorption capacity of natural tea waste towards Basic Blue 9 (BB9) was investigated by successive modification with Fe3O4 nanoparticles (NPs) and anionic surfactant, sodium dodecyl sulfate. The X-ray diffraction, energy-dispersive X-ray spectroscopy, transmission electron microscopy, Fourier-transform infrared spectroscopy and vibrating sample magnetometer analyses confirmed the introduction of super-paramagnetic Fe3O4-NPs with uniform shapes and sizes of 10 ± 2 nm, –SO3 and Fe–O functional groups. The main mechanisms involved in adsorption and transport of BB9 were ion exchange through –SO3 group of surfactant molecules and film diffusion respectively. An optimized artificial neural network model with three layers and 14 neurons in hidden layer could successfully predict BB9 adsorption (R2 = 0.9959). Also, the relative importance of each studied variable ((BB9 initial concentration, initial pH of solution, contact time, temperature and adsorbent dosage) on the adsorption process was evaluated.
Predicting the performance of Campos Sulinos native species: a functional approach applied to restoration ecology ISIS

When addition of species is required, the conditions shaping performance in the first life stage of species is central in the prediction of restoration success. Regenerative traits such as seed traits, though understudied compared to mature plant traits, have the potential to reflect important performance parameters related to the initial establishment of species in a given environment. The overall objective was to test the predictive potential of regenerative traits on the performance of grassland species for restoration. We carried out a multi-experimental approach (cabinet, greenhouse and field), where we evaluated plant performance using three variables: Final Germination Percentage (FGP), Germination Rate Index (GRI) and Survival. The potential of seed traits as predictors were evaluated by linear regression models. Seed mass and seed shape influenced performance. Seed circularity had a positive effect on GRI. We also found a strong interaction between seed circularity As citações e referências bibliográficas deste capítulo seguem as normas da revista Restoration Ecology. Figuras e tabelas foram inseridas no corpo do texto de modo a facilitar a leitura. 19 and mass leading to a higher GRI. Neither of the traits predicted FGP and survival. Our multiexperimental approach showed that we may under or overestimate germination parameters under controlled conditions, highlighting the importance of experimentation under field conditions when the objective is predictability. Our results reinforce the need of including regenerative traits in research approaches in order to improve trait-based ecological restoration, as so field conditions and further life-stages.
Microstructural analysis of Greenland ice using a cryogenic scanning electron microscope equipped with an electron backscatter diffraction detector

Mass loss from ice sheets contributes to global sea level rise, and accelerated ice flow to the oceans is one of the major causes of rapid ice sheet mass loss. To understand flow dynamics of polar ice sheets, we need to understand deformation mechanisms of the polycrystalline ice in ice sheets. Laboratory experiments have shown that deformation of polycrystalline ice occurs largely by dislocation glide, which mainly depends on crystal orientation distribution. Grain size and impurities are also important factors that determine ice deformation mechanisms. Compared with ice formed during interglacial periods, ice formed during glacial periods, especially ice that forms cloudy bands, exhibits finer grain sizes and higher impurity concentrations. A previous report suggests the deformation rate of ice containing cloudy bands is higher than that of ice without cloudy bands. To examine the microstructures and deformation histories of ice in cloudy bands, we applied the electron backscatter diffraction (EBSD) technique to samples from the Greenland Ice Sheet using an environmental scanning electron microscope (ESEM) equipped with cold stages. Prior to the EBSD analysis, we optimised our ESEM/EBSD system and performed angular error assessment using artificial ice. In terms of c- and a-axis orientation distributions and grain orientation spread, we found little difference between samples taken from a cloudy band and those taken from an adjacent layer of clear ice. However, subgrain boundary density and orientation gradients were higher in the cloudy band, suggesting that there are more dislocations in the cloudy band than in the clear ice layer.
Comparative Genomic Analysis of Rhodococcus equi: An Insight into Genomic Diversity and Genome Evolution

Rhodococcus equi, a member of the Rhodococcus genus, is a gram-positive pathogenic bacterium. Rhodococcus possesses an open pan-genome that constitutes the basis of its high genomic diversity and allows for adaptation to specific niche conditions and the changing host environments. Our analysis further showed that the core genome of R. equi contributes to the pathogenicity and niche adaptation of R. equi. Comparative genomic analysis revealed that the genomes of R. equi shared identical collinearity relationship, and heterogeneity was mainly acquired by means of genomic islands and prophages. Moreover, genomic islands in R. equi were always involved in virulence, resistance, or niche adaptation and possibly working with prophages to cause the majority of genome expansion. These findings provide an insight into the genomic diversity, evolution, and structural variation of R. equi and a valuable resource for functional genomic studies.
Influence of Tempering and Cryogenic Treatment on Retained Austenite and Residual Stresses in Carbonitrided 18CrNiMo7-6 Low Alloy Steel

This work investigated the influence of tempering conditions coupled with cryogenic treatment on thermal stabilization of retained austenite and residual stress distributions in carbonitrided 18CrNiMo76 low alloy steel samples. The carbonitriding conditions were set to enable attaining surface carbon and nitrogen content of 0.87 and 0.34 mass. -percent respectively. After carbonitriding, some of the samples were subjected to varying tempering conditions followed by cryogenic treatment at -120 °C using nitrogen gas. Analysis of both retained austenite and residual stresses was conducted using X-ray diffraction. In the as-quenched state, carbonitrided samples contained 52 mass. -percent. Samples that were directly subjected to the cryogenic treatment after quenching retained only about 20 mass. -percent of austenite. Samples subjected to variant tempering conditions coupled with cryogenic treatment retained at least 30 masses. -percent of austenite. A thermal stabilization of retained austenite which increases with increasing temperature was identified. On tempering at 240°C for 14 hours retained austenite becomes unstable and decomposes to bainite leading to the low initial amount of retained austenite before cryogenic treatment. It can be concluded that the tempering process coupled with cryogenic treatment leads to an increasing hardness, to higher compressive residual stresses as well as to a shift of the location of maximum compressive residual stress toward the surface.
EFFECT OF SOME TREATMENTS ON GLOBE ARTICHOKE SEED PRODUCTION UNDER EGYPTIAN CONDITIONS. B- Enhancement of Seed Germination by Seed Priming

Artichoke seeds germination shows variation in germination percentage and speed with non-uniform seedlings. Two labratory and nursery experiments were carried out during seasons of years 2011/2012 and 2012/2013 to investigate the enhancement role of seed priming agents on seed germination and seedling behvior of locally produced seeds of globle artichoke Cynara scolymus L (green globe CV.). Seeds were primed in 8 different priming agents (PEG 8000, KNo3, K2HPO4, Na2SO4, NaCl, MgSO4, KCl, or Mannitol.) plus the control treatment (without priming). Both germination under laboratory conditions and emergence under nursery conditions were evaluated. Germination percentage, coefficient of velocity and germination performance index were significantly increased as a result of seed priming treatments. KNO3 , PEG and mannitol were found to be the best treatments in this regard. Priming artichoke seeds in different priming agents reduced mean germination time and time required to reach 50% germination. KNO3 , PEG and mannitol significantly improved the seedling characters in terms of seedling length and seedling fresh and dry weights as well as amylase activity. However, K2HPO4 was the best treatment in activating theperoxidase enzyme. Emergence and subsequent growth of seedling in trays responded positively to seed priming and KNO3 was the suprior in enhancing emergance percentage and seedling growth in terms of seedlings height, number of leaves and dry weights of shoots and roots. It could be recomended that, priming local produced artichoke seeds in KNO3 , PEG and mannitol will enhance seed germination and subsequent seedling growth which in turn will lead to using seed as a new method for propagtion and multplication under Egyptian condition and subsequently the cultivated area with artichoke will increase.
The Relationship between Cognitive-Behavioral Skills and Mother-Child Interaction with Conduct Disorder Symptoms and Oppositional Defiant Disorder in Children with ADHD

Received: 25 May 2018 Accepted: 13 Nov 2018 Introduction: Nowadays, the main focus of modern researches in the field of ADHD has been on the area of comorbid disorders and reducing their symptoms. In this regard, cognitive-behavioral therapies have tried to reduce the symptoms by using methods such as self-control, problem-solving, and social skills. Given the important role of the family, the present study investigated the pre-assumptions of the treatment by addressing the structural relationships between the social skills, problem-solving skills, and self-control with the symptoms of conduct disorder and oppositional defiant disorders in the children with ADHD and the mediating role of the mother-child interaction. Methods: This study was performed on 104 male students, fourth to sixth grade students of the elementary schools in Yazd City, Iran. In this study, the Child Symptom Inventory (CSI), Child-Parent Relationship Scale (CPRS), ProblemSolving Inventory (PSI), Self-Control Rating Scale (SCRS), and Matson Evaluation of Social Skills with Youngsters (MESSY) were used. The results were analyzed with path analysis by SPSS software version 23. Results: Findings showed that problem-solving skills, self-control skills, social skills, and mother-child interaction can explain 75% of the variance of CD and 71% of the variance of ODD in the model. In another section of the analysis, the findings showed that the effect of problem-solving and self-control skills on the mother-child interaction was significant, but the social skills had no significant effect on the mother-child interaction. Also, the problem-solving variable can affect the CD through the mediating variable in the mother-child interaction, and also has a direct relationship with the current disorder but does not have a significant effect on ODD. The self-control variable in addition to its direct relationship to disorder can affect CD and ODD through the mother-child interaction. Conclusion: Self-control, problem-solving, and social skills are associated with the symptoms of behavioral disorders in the children with ADHD, and can be used in designing cognitive-behavioral therapy packages, and also the way the mother and child interact, is effective in this type of treatments.
Reviewing the Role of the Internet in Radicalization Processes

This review presents the existing research on the role of the Internet in radicalization processes. Using a systematic literature search strategy, our paper yields 88 studies on the role of the Internet in a) right-wing extremism and b) radical jihadism. Available studies display a predominant interest in the characteristics of radical websites and a remarkable absence of a user-centred perspective. They show that extremist groups make use of the Internet to spread right wing or jihadist ideologies, connect like-minded others in echo chambers and cloaked websites, and address particularly marginalized individuals of a society, with specific strategies for recruitment. Existing studies have thus far not sufficiently examined the users of available sites, nor have they studied the causal mechanisms that unfold at the intersection between the Internet and its users. The present review suggests avenues for future research, drawing on media and violence research and research on social identity and deindividuation effects in computer-mediated communication.
Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales

Abstract. Improving the skill of Earth system models (ESMs) in representing climate–vegetation interactions is crucial to enhance our predictions of future climate and ecosystem functioning. Therefore, ESMs need to correctly simulate the impact of climate on vegetation, but likewise feedbacks of vegetation on climate must be adequately represented. However, model predictions at large spatial scales remain subjected to large uncertainties, mostly due to the lack of observational patterns to benchmark them. Here, the bidirectional nature of climate–vegetation interactions is explored across multiple temporal scales by adopting a spectral Granger causality framework that allows identification of potentially co-dependent variables. Results based on global and multi-decadal records of remotely sensed leaf area index (LAI) and observed atmospheric data show that the climate control on vegetation variability increases with longer temporal scales, being higher at inter-annual than multi-month scales. Globally, precipitation is the most dominant driver of vegetation at monthly scales, particularly in (semi-)arid regions. The seasonal LAI variability in energy-driven latitudes is mainly controlled by radiation, while air temperature controls vegetation growth and decay in high northern latitudes at inter-annual scales. These observational results are used as a benchmark to evaluate four ESM simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Findings indicate a tendency of ESMs to over-represent the climate control on LAI dynamics and a particular overestimation of the dominance of precipitation in arid and semi-arid regions at inter-annual scales. Analogously, CMIP5 models overestimate the control of air temperature on seasonal vegetation variability, especially in forested regions. Overall, climate impacts on LAI are found to be stronger than the feedbacks of LAI on climate in both observations and models; in other words, local climate variability leaves a larger imprint on temporal LAI dynamics than vice versa. Note however that while vegetation reacts directly to its local climate conditions, the spatially collocated character of the analysis does not allow for the identification of remote feedbacks, which might result in an underestimation of the biophysical effects of vegetation on climate. Nonetheless, the widespread effect of LAI variability on radiation, as observed over the northern latitudes due to albedo changes, is overestimated by the CMIP5 models. Overall, our experiments emphasise the potential of benchmarking the representation of particular interactions in online ESMs using causal statistics in combination with observational data, as opposed to the more conventional evaluation of the magnitude and dynamics of individual variables.
ERASMUS UNIVERSITY ROTTERDAM Erasmus School of Economics

This paper investigates the hump-shaped behavior of slopes and coefficients of determination of predictive regressions for future excess market returns on past regressors, as discussed by Bandi, Perron, Tamoni, and Tebaldi (2019). In doing so, the results of the former paper for twoway aggregated regression models and classical predictive systems are first reviewed, after which the scale-specific framework proposed by Bandi et al. (2019) is extended threefold. Firstly, a robustness analysis is conducted to investigate the sensitivity of presented results to slight model changes. Secondly, a high-frequency analysis is employed. Thirdly, this research formally addresses the idea of incorporating multiple regressors in scale-wise predictive systems. This paper finds that hump-shaped behavior and scale-specific predictability remain to hold under altered data and sample adjustments, while the location of predictability peaks may vary over scales. High-frequency data supports the findings of Bandi et al. (2019) for the NYSE/AMEX and S&P 500 indices, while the occurrence of hump-shaped behavior in other markets is not definitive. Adding multiple regressors preserves hump-shaped behavior, while predictability reaches up to 90%.
When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity

We analyze a large, detailed operational data set from a restaurant chain to shed new light on how workload (defined as the number of tables or diners that a server simultaneously handles) affects servers’ performance (measured as sales and meal duration). We use an exogenous shock the implementation of labor scheduling software and time-lagged instrumental variables to disentangle the endogeneity between demand and supply in this setting. We show that servers strive to maximize sales and speed efforts simultaneously, depending on the relative values of sales and speed. As a result, we find that, when the overall workload is small, servers expend more and more sales efforts with the increase in workload at a cost of slower service speed. However, above a certain workload threshold, servers start to reduce their sales efforts and work more promptly with the further rise in workload. In the focal restaurant chain we find that this saturation point is currently not reached and, counter-intuitively, the chain can reduce the staffing level and achieve both significantly higher sales (an estimated 3% increase) and lower labor costs (an estimated 17% decrease).