Impact of Balanced Score Card on the Competitive Advantage in the Jordanian Telecommunication

This study aimed at analyzing the Impact of Balanced Score Card (BSC) on the competitive advantage in the Jordanian Telecommunication, for that the researcher has adopted the descriptive methodology by using the questionnaire as a study tool. The results of the study showed that after testing the four sub hypotheses, the major null hypothesis (H0) will be rejected, and the alternative hypothesis will be accepted: There will be a statistically significant differences at the level of significance (α = 0.05) of the impact of applying balanced scorecard with its four perspectives (Financial, Customer, Internal processes and Learning and growth) on the competitive advantage in the Jordanian telecommunications. The researcher suggested assessing that the employees must obtain the skills necessary to support the strategy, and assessing that employees  should address some typical motivation and alignment issues by running the program that will explain strategy

Impact of Activity-based Costing (ABC) on Competitive Advantage in the Jordanian Telecommunication

This study aimed at exploring the impact of Activity-based costing (ABC) on Competitive Advantage in the Jordanian Telecommunication, by conducting an analysis of the gaps between the scientific development of the activity-based costing (ABC)  system and the reality of its application in practice is necessary to determine the applicability and applicability of the business organizations in the light of the continued dominance of traditional techniques. The researcher adopted the descriptive statistics methodology by applying the questionnaire (the study tool) to a sample of a size of (222). The study results found that there is a statistically significant differences at the level of significance (α = 0.05) of the impact of applying activity-based costing (ABC) on the competitive advantage in the Jordanian telecommunications

Impact of Activity-based Costing (ABC) on Competitive Advantage in the Jordanian Telecommunication

This study aimed at exploring the impact of Activity-based costing (ABC) on Competitive Advantage in the Jordanian Telecommunication, by conducting an analysis of the gaps between the scientific development of the activity-based costing (ABC)  system and the reality of its application in practice is necessary to determine the applicability and applicability of the business organizations in the light of the continued dominance of traditional techniques. The researcher adopted the descriptive statistics methodology by applying the questionnaire (the study tool) to a sample of a size of (222). The study results found that there is a statistically significant differences at the level of significance (α = 0.05) of the impact of applying activity-based costing (ABC) on the competitive advantage in the Jordanian telecommunications

The INtegrated CAtchment model of phosphorus dynamics (INCA-P): description and demonstration of new model structure and equations

INCA-P is a dynamic, catchment-scale phosphorus model which has been widely applied during the last decade. Since its original release in 2002, the model structure and equations have been significantly altered during several development phases. Here, we provide the first full model description since 2002 and then test the latest version of the model (v1.4.4) in a small rural catchment in northeast Scotland. The particulate phosphorus simulation was much improved compared to previous model versions, whilst the latest sorption equations allowed us to explore the potential time lags between reductions in terrestrial inputs and improvements in surface water quality, an issue of key policy relevance. The model is particularly suitable for use as a research tool, but should only be used to inform policy and land management in data-rich areas, where parameters and processes can be well-constrained. More long-term data is needed to parameterise dynamic models and test their predictions

Capturing wheat phenotypes at the genome level

Recent technological advances in next-generation sequencing (NGS) technologies have dramatically reduced the cost of DNA sequencing, allowing species with large and complex genomes to be sequenced. Although bread wheat (Triticum aestivum L.) is one of the world’s most important food crops, efficient exploitation of molecular marker-assisted breeding approaches has lagged behind that achieved in other crop species, due to its large polyploid genome. However, an international public–private effort spanning 9 years reported over 65% draft genome of bread wheat in 2014, and finally, after more than a decade culminated in the release of a gold-standard, fully annotated reference wheat-genome assembly in 2018. Shortly thereafter, in 2020, the genome of assemblies of additional 15 global wheat accessions was released. As a result, wheat has now entered into the pan-genomic era, where basic resources can be efficiently exploited. Wheat genotyping with a few hundred markers has been replaced by genotyping arrays, capable of characterizing hundreds of wheat lines, using thousands of markers, providing fast, relatively inexpensive, and reliable data for exploitation in wheat breeding. These advances have opened up new opportunities for marker-assisted selection (MAS) and genomic selection (GS) in wheat. Herein, we review the advances and perspectives in wheat genetics and genomics, with a focus on key traits, including grain yield, yield-related traits, end-use quality, and resistance to biotic and abiotic stresses. We also focus on reported candidate genes cloned and linked to traits of interest. Furthermore, we report on the improvement in the aforementioned quantitative traits, through the use of (i) clustered regularly interspaced short-palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-mediated gene-editing and (ii) positional cloning methods, and of genomic selection. Finally, we examine the utilization of genomics for the next-generation wheat breeding, providing a practical example of using in silico bioinformatics tools that are based on the wheat reference-genome sequence

Psychosocial Treatment of Children in Foster Care: A Review

A substantial number of children in foster care exhibit psychiatric difficulties. Recent epidemiologi-cal and historical trends in foster care, clinical findings about the adjustment of children in foster care, and adult outcomes are reviewed, followed by a description of current approaches to treatment and extant empirical support. Available interventions for these children can be categorized as either symptom-focused or systemic, with empirical support for specific methods ranging from scant to substantial. Even with treatment, behavioral and emotional problems often persist into adulthood, resulting in poor functional outcomes. We suggest that self-regulation may be an important mediat-ing factor in the appearance of emotional and behavioral disturbance in these children

Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes