Exceptional Powers in Franchise Contracts in Administrative Law and Its Applications: (A Comparative Study Between Saudi and British Law)

Franchise contracts with their exceptional powers are considered as an essential part of administrative law that contain an essential tool of administrative authorities to cover the advanced needs of individuals through providing individuals with an exploitation privilege to utilise some general services and facilities. The main aim of the study is to investigate exceptional powers in franchise contracts either in the administrative law of Saudi Arabia and United Kingdom.This paper is a comparative study in which the exceptional powers in franchise contracts in the administrative law and its applications in both Saudi Arabia and British law are discussed and compared. The main conclusion that taken from this study is that franchise contracts is widely used in UK and Saudi Arabia in several country activities. But, UK uses return to the regulation in the administrative/public law in most of its issues (KD Ewing and AW Bradley, 2011). Keywords: Franchises, Exceptional powers, Administrative la

Of shepherds, sheep and sheepdogs?: governing the adherent self through complementary and competing ‘pastorates’

Foucault’s concept of ‘pastoral power’ describes an important technique for constituting obedient subjects. Derived from his analysis of the Christian pastorate, he saw pastoral power as a prelude to contemporary technologies of governing ‘beyond the State’, where ‘experts’ shepherd self-governing subjects. However, the specific practices of modern pastorate have been little developed. This papers examines the relational practices of pastoral power associated with the government of medicine use within the English healthcare system. The study shows how multiple pastors align their complimentary and variegated practices to conduct behaviours, but also how pastors compete for legitimacy, and face resistance through the mobilisation of alternate discourses and the strategic exploitation of pastoral competition. The paper offers a dynamic view of the modern pastorate within the contemporary assemblages of power

Mutations in TOP3A Cause a Bloom Syndrome-like Disorder

Bloom syndrome, caused by biallelic mutations in BLM, is characterized by prenatal-onset growth deficiency, short stature, an erythematous photosensitive malar rash, and increased cancer predisposition. Diagnostically, a hallmark feature is the presence of increased sister chromatid exchanges (SCEs) on cytogenetic testing. Here, we describe biallelic mutations in TOP3A in ten individuals with prenatal-onset growth restriction and microcephaly. TOP3A encodes topoisomerase III alpha (TopIIIα), which binds to BLM as part of the BTRR complex, and promotes dissolution of double Holliday junctions arising during homologous recombination. We also identify a homozygous truncating variant in RMI1, which encodes another component of the BTRR complex, in two individuals with microcephalic dwarfism. The TOP3A mutations substantially reduce cellular levels of TopIIIα, and consequently subjects’ cells demonstrate elevated rates of SCE. Unresolved DNA recombination and/or replication intermediates persist into mitosis, leading to chromosome segregation defects and genome instability that most likely explain the growth restriction seen in these subjects and in Bloom syndrome. Clinical features of mitochondrial dysfunction are evident in several individuals with biallelic TOP3A mutations, consistent with the recently reported additional function of TopIIIα in mitochondrial DNA decatenation. In summary, our findings establish TOP3A mutations as an additional cause of prenatal-onset short stature with increased cytogenetic SCEs and implicate the decatenation activity of the BTRR complex in their pathogenesis

Impact of chronic war trauma exposure on PTSD diagnosis from 2006 -2021 : a longitudinal study in Palestine

© Crown 2023. This article is licensed under a Creative Commons Attribution 4.0. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.Background: Trauma and Post-Traumatic Stress Disorders (PTSD) are a common result of the occurrence of natural and man-made disasters, the refugees are one of these traumas in which some resulted from political conflicts. Today, Palestinians are the largest refugee population in the world after the Nakba in 1948. This study aims to discover the impact of chronic war traumas on PTSD diagnosis and symptoms from 2006 to 2021. The current study is a follow-up of 607 adolescents and adults, aged between 10–30 years of which are also those children who participated in the 2006 study. This research used an adapted PTSD scale (PTSD-SRII, 33 items) from a validated original questionnaire developed by Altawil in 2008 to measure PTSD based on symptoms reported in DSM-IV and ICD-10. Results: The main findings show at least 97.2% of participants had experienced at least 6 traumatic experiences up to the year 2006 and 100% of the participants were exposed to traumas in 2021. This study found four categories of responses to chronic war trauma: (a) Acute group (n = 321, 52.9%) shows high PTSD symptoms in 2006 and in 2021; (b) Remitters group (n = 54, 8.9%) shows high PTSD symptoms in 2006 but did not show significant PTSD symptoms in 2021; (c) Delayed group (n = 204, 33.6%) shows no PTSD symptoms in 2006 but showed significant PTSD symptoms in 2021; (d) Resilient group (n = 28, 4.6%) had no PTSD symptoms in 2006 and did not show PTSD symptoms in 2021. Conclusions: The authors conclude that Palestinian children, youth, adults and their families in the Gaza Strip are continually at a huge risk of developing PTSD and other psychological problems. This means that Palestinians will suffer for a long time from PTSD, which should be called Chronic Traumatic Stress Disorder (CTSD) rather than PTSD. This PTSD or CTSD cannot be changed unless the root of the problem is solved by ending the 74 years of living under occupation.Peer reviewe

How Can Bullying Victimisation Lead to Lower Academic Achievement? A Systematic Review and Meta-Analysis of the Mediating Role of Cognitive-Motivational Factors

Copyright: © 2021 by the authors. Bullying involvement may have an adverse effect on children’s educational outcomes, particularly academic achievement. However, the underlying mechanisms and factors behind this association are not well-understood. Previous meta-analyses have not investigated mediation factors between bullying and academic achievement. This meta-analysis examines the mediation effect of cognitive-motivational factors on the relationship between peer victimization and academic achievement. A systematic search was performed using specific search terms and search engines to identify relevant studies that were selected according to specific criteria resulting in 11 studies encompassing a sample total of 257,247 children (10 years and younger) and adolescents (11 years and older) (48–59% female). Some studies were longitudinal and some cross sectional and the assessment for each factor was performed by various methods (self, peer, teacher, school and mixed reports). Children involved in bullying behaviour were less likely to be academically engaged (k = 4) (OR = 0.571, 95% CI [0.43, 0.77], p = 0.000), to be less motivated (k = 7) (OR = 0.82, 95% CI [0.69, 0.97], p = 0.021), to have lower self-esteem (k = 1) (OR = 0.12, 95% CI [0.07, 0.20], p = 0.000) and lower academic achievement (k = 14) (OR = 0.62, 95% CI [0.49, 0.79], p = 0.000). Bullying involvement was also significantly related to overall cognitive-motivational factors (k = 17, OR = 0.67, 95% CI [0.59, 0.76], p = 0.000). Cognitive-motivational factors, taken together, mediated the association between bullying victimisation and academic achievement (k = 7, OR = 0.74, 95% CI (0.72, 0.77), p = 0.000). Bullying victimisation was negatively related to cognitive-motivational factors, which, in turn, was associated with poorer academic achievement. These findings were moderated by the design of the studies, assessment methods for the bullying reports, mediators and outcomes, country, age of children in the sample and/or types of bullying. The findings are of relevance for practitioners, parents, and schools, and can be used to guide bullying interventions. Interventions should focus on improving internal and external motivational factors including components of positive reinforcement, encouragement, and programs for enhancing academic engagement and achievement amongst children and adolescents.Qatar National Research Fun

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier

Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It's Zero-day variants are even more hazardous, as less is known about them. In this regard, when used for ransomware attack detection, conventional machine learning approaches may become data-dependent, insensitive to error cost, and thus may not tackle zero-day ransomware attacks. Zero-day ransomware have normally unseen underlying data distribution. This paper presents a Cost-Sensitive Pareto Ensemble strategy, CSPE-R to detect novel Ransomware attacks. Initially, the proposed framework exploits the unsupervised deep Contractive Auto Encoder (CAE) to transform the underlying varying feature space to a more uniform and core semantic feature space. To learn the robust features, the proposed CSPE-R ensemble technique explores different semantic spaces at various levels of detail. Heterogeneous base estimators are then trained over these extracted subspaces to find the core relevance between the various families of the ransomware attacks. Then, a novel Pareto Ensemble-based estimator selection strategy is implemented to achieve a cost-sensitive compromise between false positives and false negatives. Finally, the decision of selected estimators are aggregated to improve the detection against unknown ransomware attacks. The experimental results show that the proposed CSPE-R framework performs well against zero-day ransomware attacks

Practitioners’ perceptions, attitudes, and challenges around bullying and cyberbullying

© 2020 The Author(s). Practitioners’ perceptions and understanding of bullying in schools is vital and can help to tackle bullying. The aim of this study is to investigate perceptions, attitudes, and challenges towards bullying amongst 135 practitioners (psychologists, social-workers, and medical professionals) (56.9% women; mostly aged 26-50 years) in Qatar. The practitioners answered self-report questionnaires on the definition, causes, and consequences of bullying as well as the presence of bullying and anti-bullying policies at their workplace. The findings revealed that practitioners have a clear understanding of the definition, causes, and consequences of bullying and recognise bullying and cyberbullying as a problem in Qatari students. Higher bullying knowledge and experience were related to higher perception of bullying as a problematic behaviour, better identification of bullying characteristics, more support of anti-bullying laws, and more bullying guidelines in their workplace. There is a great need for practitioner training in issues concerning bullying and to design suitable anti-bullying policies and interventions in schools.Qatar National Research Fund (QNRF), National Priority Research Programmes (NPRP5 - 1134 - 3 - 240)https://www.um.edu.mt/library/oar/handle/123456789/6512

Grassland yield estimations – potentials and limitations of remote sensing in comparison to process-based modeling and field measurements

Grasslands make up the majority of agricultural land and provide fodder for livestock. Information on grassland yield is very limited, as fodder is directly used at farms. However, data on grassland yields would be needed to inform politics and stakeholders on grassland ecosystem services and interannual variations. Grassland yield patterns often vary on small scales in Germany, and estimations are further complicated by missing information on grassland management. Here, we compare three different approaches to estimate annual grassland yield for a study region in southern Germany. We apply (i) a novel approach based on a model derived from field samples, satellite data and mowing information (RS); (ii) the biogeochemical process-based model LandscapeDNDC (LDNDC); and (iii) a rule set approach based on field measurements and spatial information on grassland productivity (RVA) to derive grassland yields per parcel for the Ammer catchment area in 2019. All three approaches reach plausible results of annual yields of around 4–9 t ha−1 and show overlapping as well as diverging spatial patterns. For example, direct comparisons show that higher yields were derived with LDNDC compared to RS and RVA, in particular related to the first cut and for grasslands mown only one or two times per year. The mowing frequency was found to be the most important influencing factor for grassland yields of all three approaches. There were no significant differences found in the effect of abiotic influencing factors, such as climate or elevation, on grassland yields derived from the different approaches. The potentials and limitations of the three approaches are analyzed and discussed in depth, such as the level of detail of required input data or the capability of regional and interannual yield estimations. For the first time, three different approaches to estimate grassland yields were compared in depth, resulting in new insights into their potentials and limitations. Grassland productivity maps provide the basis for the long-term analyses of climate and management impacts and comprehensive studies of the functions of grassland ecosystems.</p

Stable isotope dilution assay for the accurate determination of mycotoxins in maize by UHPLC-MS/MS

A fast, easy-to-handle and cost-effective analytical method for 11 mycotoxins currently regulated in maize and other cereal-based food products in Europe was developed and validated for maize. The method is based on two extraction steps using different acidified acetonitrile–water mixtures. Separation is achieved using ultrahigh-performance liquid chromatography (UHPLC) by a linear water–methanol gradient. After electrospray ionisation, tandem mass spectrometric detection is performed in dynamic multiple reaction monitoring mode. Since accurate mass spectrometric quantification is hampered by matrix effects, uniformly [13C]-labelled mycotoxins for each of the 11 compounds were added to the sample extracts prior to UHPLC-MS/MS analysis. Method performance parameters were obtained by spiking blank maize samples with mycotoxins before as well as after extraction on six levels in triplicates. The twofold extraction led to total recoveries of the extraction steps between 97% and 111% for all target analytes, including fumonisins. The [13C]-labelled internal standards efficiently compensated all matrix effects in electrospray ionisation, leading to apparent recoveries between 88% and 105% with reasonable additional costs. The relative standard deviations of the whole method were between 4% and 11% for all analytes. The trueness of the method was verified by the measurement of several maize test materials with well-characterized concentrations. In conclusion, the developed method is capable of determining all regulated mycotoxins in maize and presuming similar matrix effects and extraction recovery also in other cereal-based foods