ETHNOBOTANICAL WEALTH OF JANDOOL VALLEY, DIR LOWER, KHYBER PAKHTUNKHWA (KPK), PAKISTAN

The present study contributes to enlist the wealth of ethnobotanical important plants of Jandool valley, Dir lower, Khyber Pakhtunkhwa (KPK), Pakistan. A total of 67 plants species, belonging to 39 families of herbs (57 %), shrubs (6 %), trees (34 %) and mushrooms (3 %) were found to be used by the local inhabitants generally for medicinal, timber wood, fuel, food and fodder purposes. Majority of the plants identified were used for more than one purpose. The human and cattle pressure has resulted in loss of the indigenous ethnobotanical important plant species. Therefore reforestation followed by proper protection is a need of time

ETHNOBOTANICAL WEALTH OF JANDOOL VALLEY, DIR LOWER, KHYBER PAKHTUNKHWA (KPK), PAKISTAN

The present study contributes to enlist the wealth of ethnobotanical important plants of Jandool valley, Dir lower, Khyber Pakhtunkhwa (KPK), Pakistan. A total of 67 plants species, belonging to 39 families of herbs (57 %), shrubs (6 %), trees (34 %) and mushrooms (3 %) were found to be used by the local inhabitants generally for medicinal, timber wood, fuel, food and fodder purposes. Majority of the plants identified were used for more than one purpose. The human and cattle pressure has resulted in loss of the indigenous ethnobotanical important plant species. Therefore reforestation followed by proper protection is a need of time

Dog Coat Colour Genetics: A Review

Canis lupus familiaris is one of the most beloved pet species with hundreds of world-wide recognized breeds, which can be differentiated from each other by specific morphological, behavioral and adoptive traits. Morphological characteristics of dog breeds get more attention which can be defined mostly by coat color and its texture, and considered to be incredibly lucrative traits in this valued species. Although the genetic foundation of coat color has been well stated in the literature, but still very little is known about the growth pattern, hair length and curly coat trait genes. Skin pigmentation is determined by eumelanin and pheomelanin switching phenomenon which is under the control of Melanocortin 1 Receptor and Agouti Signaling Protein genes. Genetic variations in the genes involved in pigmentation pathway provide basic understanding of melanocortin physiology and evolutionary adaptation of this trait. So in this review, we highlighted, gathered and comprehend the genetic mutations, associated and likely to be associated variants in the genes involved in the coat color and texture trait along with their phenotypes. Moreover, genetic diversity of other associated genes were also pointed out to understand this phenomena in detail along with their genotypes for better understanding the expression and mode of inheritance of this trait for describing dog breeds with more accuracy.Keywords: Dog breeds; Dog color variants; Dog texture genetics; Dog breed differentiation 

Accounting for Iranian EFL Teachers' Burnout: Educational Beliefs and Teacher Self-Disclosure in Focus

Teaching is considered a high-risk profession for those suffering from burnout syndrome. Burnout syndrome affects the person who suffers from it and everyone around them, e.g., family, friends, co-workers, students, and parents. The main purpose of this study was to investigate any probable relationship between Iranian EFL teachers’ educational belief and their tendency to self-disclose with their likelihood of suffering from burnout. The research instruments were The Teacher Self-Disclosure Scale (Cayanus Martin, 2008), Maslach Burnout Inventory (MBI-ES) (Maslach, C., Schaufeli, 1993), and the Teachers' Educational Belief Questionnaire. The participants were 98 EFL teachers selected from 25 private language schools in Shiraz, Iran. Descriptive statistics, Cronbach Alpha coefficients, and Person Product-Moment Correlation Coefficient were used to answer this research question. Analyzing the data collected through the questionnaires indicated a positive correlation between some dimensions of teacher burnout and teachers’ constructive or traditional beliefs. Thus, ‘lack of personal achievement’ and ‘constructive beliefs’, ‘emotional exhaustion’ and ‘depersonalization’, and teachers’ traditional beliefs were positively correlated. On the contrary, a negative correlation was identified between ‘lack of personal achievement’ and teachers’ traditional beliefs. Likewise, ‘emotional exhaustion’ and ‘depersonalization’ on the burnout scale were correlated with teachers’ constructive beliefs.  However, no significant correlation was observed between teachers’ neutral beliefs and any dimensions of the burnout scale. Moreover, teacher self-disclosure quantity and negativity were correlated with ‘emotional exhaustion’ and ‘depersonalization’ on the burnout scale

Challenges in Adopting Artificial Intelligence (AI) in HRM Practices: A study on Bangladesh Perspective

Main Objectives: The objective of this study is to assess HRM practices in Bangladesh, as well as This paper, has highlighted the importance, future challenges, and benefits of adopting artificial intelligence. Novelty: In Bangladesh, most of the HRM-related research conducted by focusing existing HR practices, this paper, therefore, sought to explain the next step of human resource management practices through the possibility of adopting artificial intelligence. Research Methods: The relevant information was collected from secondary sources, such as newspaper articles, books, and websites. Based on secondary sources, we explain HRM practices in Bangladesh, AI Significance, and challenges in the adaptation of AI. Contributions: This study will assist policymakers to pay attention to the benefits and importance of adopting AI in HRM practices in Bangladesh, besides further research can be conducted on employee perception and readiness of accepting AI. Conclusion: Human resource management practices focused on artificial intelligence have a great potential to enhance employee performance, talent development, learning and development, and employee retention, while also helping to minimize employee turnover. As Bangladesh is progressing and going to be a developing country by 2024, hence this is a high time to adapt AI to boost up HR function in the business organization

Accounting for Iranian EFL Teachers' Burnout: Educational Beliefs and Teacher Self-Disclosure in Focus

Teaching is considered a high-risk profession for those suffering from burnout syndrome. Burnout syndrome affects the person who suffers from it and everyone around them, e.g., family, friends, co-workers, students, and parents. The main purpose of this study was to investigate any probable relationship between Iranian EFL teachers’ educational belief and their tendency to self-disclose with their likelihood of suffering from burnout. The research instruments were The Teacher Self-Disclosure Scale (Cayanus Martin, 2008), Maslach Burnout Inventory (MBI-ES) (Maslach, C., Schaufeli, 1993), and the Teachers' Educational Belief Questionnaire. The participants were 98 EFL teachers selected from 25 private language schools in Shiraz, Iran. Descriptive statistics, Cronbach Alpha coefficients, and Person Product-Moment Correlation Coefficient were used to answer this research question. Analyzing the data collected through the questionnaires indicated a positive correlation between some dimensions of teacher burnout and teachers’ constructive or traditional beliefs. Thus, ‘lack of personal achievement’ and ‘constructive beliefs’, ‘emotional exhaustion’ and ‘depersonalization’, and teachers’ traditional beliefs were positively correlated. On the contrary, a negative correlation was identified between ‘lack of personal achievement’ and teachers’ traditional beliefs. Likewise, ‘emotional exhaustion’ and ‘depersonalization’ on the burnout scale were correlated with teachers’ constructive beliefs.  However, no significant correlation was observed between teachers’ neutral beliefs and any dimensions of the burnout scale. Moreover, teacher self-disclosure quantity and negativity were correlated with ‘emotional exhaustion’ and ‘depersonalization’ on the burnout scale

Study of inclusion problem in Morrey space

In this research we study one of the functional analysis problems, it is inclusion of functional spaces. We study especially the inclusion of spaces  which branches from Morrey spaces . First, we mentioned some of the results that have been reached in the field of inclusion of some of the famous functional spaces such as Holder, Lebesgue, Orlicz and Morrey spaces. We then defined  by introducing a new parameter  to define the Morrey space and then studied some of its properties. Moreover,  we presented the theorem that studies the inclusion between  and Morrey space in addition to the theorem that studies the inclusion between  and Lebesgue space. Finally, we studied in three cases the inclusion of functional spaces ,and we found that the parameters  and  play the key role in the inclusion of these spaces.

Achievement goals, self-esteem, and persistence as predictors of future goals among Qassim University students

The current study aimed to predict future goals through achievement goals, self-esteem, and persistence. The researchers designed a scale for future goals, and they used achievement goal orientations scale (Rashwan, 2006), Rosenberg self-esteem scale (translated by Jaradat, 2006), and persistence scale (Darwish, 2006). Then they applied these scales on a sample of 511 students from Qassim University. The study results revealed the following: 1- Internal future goals among Qassim University students can be predicted through self-esteem, approach mastery goals, and persistence. 2- External future goals among Qassim University students can be predicted through approach performance goals, self-esteem, and approach mastery goals

Introduction to Galaxy Platform for NGS Variant Calling Pipeline

Background: Galaxy web-based platform for Next Generation Sequence (NGS) data analysis provides unprecedented opportunities to characterize, analyze and computationally visualize genomic landscapes with limited-resources. An initiative was taken to explore this pipeline for NGS data-analysis by using Galaxy platform, for its relative accessibility, reproducibility, transparency and scalability.  Methods: Variant calling and associated workflows were executed on NGS pooled-seq data of 12 Pakistani Teddy goats. Different tools used in this pipeline are FastQC for quality checks, Trimmomatic for trimming data, SAM/BAM tools for conversion of file formats, Picard tools for marking deduplicates, VCFtools/FreeBayes for genomic variant detection and SnpSift to annotate the variants.Results: Highly associated functionally untrivial 43,712 loci were percolated having 87,510 alleles. Besides, 1,548 variants with 1,134 SNPs, 23 mixed variants, 76 MNP, 183 insertions and 132 deletions were observed in Teddy breed using San Clement ARS1 reference genome. Furthermore, 1,283 homozygous and 265 heterozygous variant were also divulged out of 43,447 loci. These variants are likely to be liable for general phenotypic traits of Teddy with smaller body-size, tender meat quality and agility along with other breed specific traits. Conclusion: Galaxy fulfills the core function of reproducibility and easy accessibility by removing the gaps between large data analysis and its interpretations. This variant calling pipeline reveals the genomic differences of Teddy specific characteristics as compare to ARS1 reference genome.Keywords: Galaxy platform; NGS data; Teddy goat; Variant calling; Bioinformatic