Articles
Publication Date: 2025
Neutrosophic Sets and Systems (23316055)82pp. 639-654
In plant breeding programs, the augmented design is designated to screen numerous new treatments compared with a few check treatments, which in turn are required to estimate both of error variance and local control for new future treatments. It is well known that the classical augmented design is not suitable for data that are imprecise, uncertain, or undetermined, and these accordingly emerge because of many circumstances beyond humans control. As a result, there is a sever necessity to define a proper generalization for the augmented designs to handle uncertain environments. To be more specific, this work aims to propose an easy to apply approach to treat the augmented randomized complete block design under neutrosophic statistics (NS). This well-defined approach is based on building a neutrosophic ANOVA table, including deriving a suitable test statistics, FN, to handle uncertain settings.This leads to the corresponding neutrosophic hypotheses and the necessary related decision rules. Real data and a series of simulation studies numerically assess the performance of the present method. It will be shown that the neutrosophic method outperforms the classical one, and in effect, it is more flexible than in the presence of indeterminacy. © 2025, University of New Mexico. All rights reserved.
Publication Date: 2025
Journal of Loss and Trauma (15325024)30(2)pp. 218-241
The present study aimed to explore the effectiveness of Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) in facilitating post-traumatic growth, increasing self-compassion, and reducing behavior problems among the children experiencing the 2017 Sarpol-e Zahab (Iran) earthquake. Among earthquake-traumatized 9-12-year-old girls, 24 were selected through purposive sampling. The 24 participants were randomly assigned to the experimental and the control group, each with 12 subjects. The experimental group received 12 sessions of TF-CBT, although 3 subjects left the experimental group during the sessions. Consequently, the analysis included 21 participants: 9 in the experimental group and 12 in the control group. The post-traumatic growth inventory for children revised (PTGI-C-R), the self-compassion scale-short form (SCS-SF), and the Rutter children’s behavior questionnaire for parents were completed at baseline, after the intervention, and one-month follow-up. The results indicated that compared to the control group the participants in the experimental group obtained higher scores in post-traumatic growth and lower scores in behavior problems (i.e., aggression and hyperactivity, and anxiety and depression) (p <.01) which were consistent in the follow-up period. It was also find out that, the experimental group reported higher levels of self-compassion in the follow-up (p <.01). The study suggests that TF-CBT may be effective in improving post-traumatic growth, self-compassion, and behavior problems among children affected by earthquake trauma. © 2024 Taylor & Francis Group, LLC.
Publication Date: 2024
Complex and Intelligent Systems (21994536)10(1)pp. 509-523
The augmented randomized complete block design (ARCBD) is widely used in plant breeding programs to screen numerous new treatments. The error variance is estimated based on the replicated control treatments run over a randomized complete block design and is used to test the new treatments that are administrated each once in the extended units of the blocks. However, one or more observations corresponding to the control treatments may be missed in experiments, making difficulties, e.g., biased estimates. An approximate common approach to deal with this problem is the imputation of the estimated value which is with some uncertainties. Moreover, in real-life experiments, there are more sources of uncertainty that cause conflict-indeterminate, vague, imprecise, and erroneous data that increases the complexity of the analysis. In this paper, an exact scheme is utilized to deal with a missing control treatment in ARCBD. To overcome the problem of indeterminacies in data, a novel neutrosophic analysis approach is proposed. Specifically, the problem of a missing value in an ARCBD for an uncertain environment is resolved analytically by considering an augmented incomplete block design in the framework of neutrosophic statistics so-called neutrosophic augmented randomized complete block design (NARCBD). In this approach, by proposing the neutrosophic model, the neutrosophic estimations as well as the mathematical neutrosophic adjusted sums of squares are derived and the analysis of variance table is provided. The new model is applied to the neutrosophic genotype data example of safflower and assessed by a simulation study. Furthermore, a code in the R software was written to analyze the data based on the proposed approach to fill the calculation gap for data analysis in NARCBD with a missing value. In light of the results observed, it can be concluded that the neutrosophic exact proposed method performs better than the classic in the presence of uncertainty. © The Author(s) 2023.
Publication Date: 2024
Current Psychology (19364733)43(1)pp. 885-899
Although Executive Functions has been considered as the main correlation of ADHD few studies have examined the effect of EFs on ADHD symptoms, in the samples with ADHD. This study aimed to examine the structure of EFs on ADHD students in a hypothesized model. After careful screening of ADHD among 1368 university students (with stratified and multistage cluster sampling), out of them, 211 students with ADHD diagnosis were selected purposefully. They received scales on their emotion regulation, motivation, adult ADHD, deficits in EFs, and diagnostic interview. Emotion regulation and intrinsic motivation were considered as input; behavioral-inhibition, time-management, and problem-solving were the mediators and ADHD subscales were as the output variables. Results showed that the model adequately fit the data. The model fit indices were χ2 = 27.081, df = 1, CFI = 0.99, GFI = 0.97, and PGFI = 0.02. The direct effects of intrinsic-motivation and emotion-regulation on all three mediators and indirect effects of them to ADHD subscales were significant. Based on the results, time-management mediated the relationship between motivation and emotion regulation and ADHD. Among EFs, emotion-regulation and intrinsic-motivation had fundamental influence to other aspects of EFs factors such as behavioral-inhibition, time-management, problem-solving, and attention deficit/hyperactivity disorder. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023.
