The Impact of Digital Transformation on Staffing Strategy in Banking Sector: A Case Study of Egypt

Purpose: The Egyptian banking sector adopts an expansion strategy in the field of digital transformation to face the competition resulting from the entry of ICT companies, the repercussions of the Corona virus and the spread of financial technology companies in the banking services market. This trend offers multiple benefits to banks and customers, including ease of conducting transactions, reducing operating expenses, and meeting the needs of customers who prefer banking transactions via the Internet and smart phones, On the other hand, it introduces wide changes to the size and quality of banking jobs in the future, and threatens the disappearance of some of them ,therefore this study analyses empirical evidence of the impact of the digital transformation on staffing strategy in the Egyptian banking sector. Design/Methodology/Approach: This study depends on the analysis of secondary data obtained from the reports of the Central Bank of Egypt on the indicators of digital transformation and the number and quality of banking staffs during the period from 2016- 2021, using the analysis of correlation and regression coefficients. Findings: The results of the study indicate that there is no negative impact of digital transformation on new staffing operations in the short term, because the rate of bank penetration into the banking services market is still low and therefore Egyptian banks are expanding their traditional branch network alongside digital banking services channels. This transformation has also created a new type of job that keeps pace with banking digitalization, while in the long term digital transformation threatens the disappearance of some jobs to be replaced by artificial intelligence, internet banking, mobile banking and electronic wallets. Originality/Value: The novelty of this study is to examine the relationship between digital transformation indictors and the size and quality of staffing in the Egyptian banking sector. Practical Implications: The importance of this study is to provide recommendations to the HR management in Egyptian banks to deal proactively to deal with the potential impacts of digital transformation in the banking sector. Limitations/implications: There are limitations to the results of this study represented in the insufficiency of the study period, and there are many factors affecting the size and quality of employees in the banking sector other than digital transformation. In addition, the study relied on the method of quantitative analysis of the study variables. Hence further studies can be carried out with different methodologies such as surveys, case studies and qualitative analysis method

Family caregiver quality of life in multiple sclerosis among Kuwaitis: a controlled study

<p>Abstract</p> <p>Background</p> <p>Research interest in the quality of life (QOL) of persons with multiple sclerosis (MS) has been spurred by the need to broaden outcome measures. Far less of this interest has been directed at the family caregivers, who bear most of the burden of care. The objectives of the study were: First, to compare the subjective QOL of family caregivers of persons with relapsing remitting and progressive MS, with those of a matched general population sample and caregivers of diabetes and psychiatric patients. Second, to assess the relationship of QOL with caregiver attitudes to MS and patient's variables.</p> <p>Methods</p> <p>Consecutive MS clinic attendees were assessed with the 26 – item WHOQOL Instrument, and for depression and disability. Similarly, caregivers independently rated their own QOL as well as their impression of patients' QOL and attitudes to patients' illness.</p> <p>Results</p> <p>The 170 caregivers, mean age 35.7 years, had no significant diagnostic differences in QOL domain scores and attitudes to MS. Caregivers had significantly lower QOL than the general population control group for five out of six domains and the general facet (P < 0.01), but higher QOL than the patients. When the scores were corrected for patients' depression and disability, caregivers had similar QOL with the general population group for four domains. Using corrected scores, MS caregivers had lower scores than diabetic and psychiatric caregivers in the physical, psychological and social relations domains. Majority expressed negative attitudes to MS. Caregiver QOL was more affected by their fear of having MS than their feelings about the illness and caregiving role. Caregiver attitudes had mostly no significant impact on their proxy ratings of patients' QOL. The significant predictor of caregivers' overall QOL was their impression of patients' QOL.</p> <p>Conclusion</p> <p>Caregivers need specific attention if they are less educated, unemployed, afraid of having MS and caring for patients with longer duration of illness and less education. In particular, attention to patients' depression and disability could improve caregivers' QOL. Caregivers need specific programs to address fear of having MS, negative attitudes to illness and their unmet needs.</p

Ligand biological activity predicted by cleaning positive and negative chemical correlations.

Predicting ligand biological activity is a key challenge in drug discovery. Ligand-based statistical approaches are often hampered by noise due to undersampling: The number of molecules known to be active or inactive is vastly less than the number of possible chemical features that might determine binding. We derive a statistical framework inspired by random matrix theory and combine the framework with high-quality negative data to discover important chemical differences between active and inactive molecules by disentangling undersampling noise. Our model outperforms standard benchmarks when tested against a set of challenging retrospective tests. We prospectively apply our model to the human muscarinic acetylcholine receptor M1, finding four experimentally confirmed agonists that are chemically dissimilar to all known ligands. The hit rate of our model is significantly higher than the state of the art. Our model can be interpreted and visualized to offer chemical insights about the molecular motifs that are synergistic or antagonistic to M1 agonism, which we have prospectively experimentally verified

Semantics and Proof Theory of the Epsilon Calculus

The epsilon operator is a term-forming operator which replaces quantifiers in ordinary predicate logic. The application of this undervalued formalism has been hampered by the absence of well-behaved proof systems on the one hand, and accessible presentations of its theory on the other. One significant early result for the original axiomatic proof system for the epsilon-calculus is the first epsilon theorem, for which a proof is sketched. The system itself is discussed, also relative to possible semantic interpretations. The problems facing the development of proof-theoretically well-behaved systems are outlined.Comment: arXiv admin note: substantial text overlap with arXiv:1411.362

Untersuchungen zur Populationsgenetik der Minderempfindlichkeit des Apfelwicklers gegenüber Cydia pomonella Granulovirus (CpGV)

The Codling moth granulovirus (Cydia pomonella granulovirus, CpGV, Baculoviridae) is one of the most important bio control agents of the codling moth in apple production. Since 2003, codling moth populations have been observed in Germany and France, which show an up to thousand fold decreased susceptibility to CpGV. A spread of this phenomenon is a severe threat to the efficient control of the codling moth, particularly in organic farming. In order to prevent this development, investigations on the popula-tion genetics of codling moth populations in Germany were initiated to assess the baseline susceptibilities of selected populations. Furthermore, the genetic and biologi-cal background of resistance of the codling moth to CpGV are being elucidated by crossing susceptible and low susceptible codling moth populations. These investiga-tions will help to develop new control strategies or to restore high susceptibility to-wards CpGV. Mapping of traits involved in resistance will be performed. Involved loci will be identi-fied with the help of amplified fragment length polymorphism (AFLP). Loci coupled with susceptibility can help to elucidate resistance mechanisms. Analysis of comple-mentary DNA amplified fragment length polymorphism (cDNA-AFLP) will be per-formed to display differences in expression rate of particular genes. If there are differ-ences between sensitive and non-sensitive strains, the genes will be isolated and sequenced. Putative sequence homologies give the direction of the functional sense of the mentioned gene and further conclusion of the mechanisms of the susceptibility of CpGV

Evaluating heat extremes in the UK Climate Projections (UKCP18)

In recent years, UK summer heatwaves have resulted in thousands of excess deaths, with both extreme temperatures and high humidity increasing health risks. Here, the UK Climate Projections 2018 (UKCP18) are compared to observational (HadUK-Grid) and reanalysis data (ERA5) to quantify model performance at capturing mean, extremes (95th to 99.5th percentiles) and variability in the climate state and heat stress metrics (simplified wet bulb global temperature, sWBGT; Humidex; apparent temperature). Simulations carried out for UKCP18 generally perform as well as or better than CMIP5 models in reproducing observed spatial patterns of UK climate relating to extreme heat, with RMSE values on average ~30% less than for the CMIP5 models. Increasing spatial resolution in UKCP18 simulations is shown to yield a minor improvement in model performance (RMSE values on average ~5% less) compared to observations, however there is considerable variability between ensemble members within resolution classes. For both UKCP18 and CMIP5 models, model error in capturing characteristics of extreme heat generally reduces when using heat stress metrics with a larger vapour pressure component, such as sWBGT. Finally, the 95th percentile of observed UK summer temperature is shown to have ~60% greater interannual variability than the summer mean over the recent past (1981–2000). This effect is underestimated in UKCP18 models (~33%) compared to HadUK-grid and ERA5. Compared to projected future changes in the global mean temperature, UK summer mean and 95th percentile temperatures are shown in increase at a faster rate than the global mean

Sequentially aerated membrane biofilm reactors for autotrophic nitrogen removal: microbial community composition and dynamics

Membrane-aerated biofilm reactors performing autotrophic nitrogen removal can be successfully applied to treat concentrated nitrogen streams. However, their process performance is seriously hampered by the growth of nitrite oxidizing bacteria (NOB). In this work we document how sequential aeration can bring the rapid and long-term suppression of NOB and the onset of the activity of anaerobic ammonium oxidizing bacteria (AnAOB). Real-time quantitative polymerase chain reaction analyses confirmed that such shift in performance was mirrored by a change in population densities, with a very drastic reduction of the NOB Nitrospira and Nitrobacter and a 10-fold increase in AnAOB numbers. The study of biofilm sections with relevant 16S rRNA fluorescent probes revealed strongly stratified biofilm structures fostering aerobic ammonium oxidizing bacteria (AOB) in biofilm areas close to the membrane surface (rich in oxygen) and AnAOB in regions neighbouring the liquid phase. Both communities were separated by a transition region potentially populated by denitrifying heterotrophic bacteria. AOB and AnAOB bacterial groups were more abundant and diverse than NOB, and dominated by the r-strategists Nitrosomonas europaea and Ca. Brocadia anammoxidans, respectively. Taken together, the present work presents tools to better engineer, monitor and control the microbial communities that support robust, sustainable and efficient nitrogen remova