Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia

Precipitation is a key input variable for hydrological and climate studies. Rain gauges can provide reliable precipitation measurements at a point of observations. However, the uncertainty of rain measurements increases when a rain gauge network is sparse. Satellite-based precipitation estimations SPEs appear to be an alternative source of measurements for regions with limited rain gauges. However, the systematic bias from satellite precipitation estimation should be estimated and adjusted. In this study, a method of removing the bias from the precipitation estimation from remotely sensed information using artificial neural networks-cloud classification system (PERSIANN-CCS) over a region where the rain gauge is sparse is investigated. The method consists of monthly empirical quantile mapping of gauge and satellite measurements over several climate zones as well as inverse-weighted distance for the interpolation of gauge measurements. Seven years (2010–2016) of daily precipitation estimation from PERSIANN-CCS was used to test and adjust the bias of estimation over Saudi Arabia. The first 6 years (2010–2015) are used for calibration, while 1 year (2016) is used for validation. The results show that the mean yearly bias is reduced by 90%, and the yearly root mean square error is reduced by 68% during the validation year. The experimental results confirm that the proposed method can effectively adjust the bias of satellite-based precipitation estimations

Corporate Social Responsibility and Corporate Performance: Does Financial Reporting Quality Matter?

This study aims to analyze the role of social responsibility in times of crisis, where the study examines whether the role of social responsibility in the corporate performance will depend on its interaction with other basic aspects of the corporate business environment. In the contemporary economic context, information environment considers important aspects of the business environment, therefore, it can be suggested that the impact of social responsibility on the company’s performance will be clearer when considering its interaction with financial reporting quality. To test this argument, data from the Saudi business environment for the year 2020 was collected to explore the relationship between social responsibility and the company’s financial performance during the Corona pandemic, and the role of the financial reporting quality in that relationship. The results were largely consistent with the general argument of the study, the results showed that social responsibility does not affect the financial performance, but the interaction between it and the financial reporting quality positively affects the financial performance of the company during the pandemic period. Therefore, financial reporting quality play a major role in the extent to which social responsibility affects performance. The results represent a motivation for the various parties in the business environment to pay attention to the general framework of the companys business aspects when analyzing performance

The USFD Spoken Language Translation System for IWSLT 2014

The University of Sheffield (USFD) participated in the International Workshop for Spoken Language Translation (IWSLT) in 2014. In this paper, we will introduce the USFD SLT system for IWSLT. Automatic speech recognition (ASR) is achieved by two multi-pass deep neural network systems with adaptation and rescoring techniques. Machine translation (MT) is achieved by a phrase-based system. The USFD primary system incorporates state-of-the-art ASR and MT techniques and gives a BLEU score of 23.45 and 14.75 on the English-to-French and English-to-German speech-to-text translation task with the IWSLT 2014 data. The USFD contrastive systems explore the integration of ASR and MT by using a quality estimation system to rescore the ASR outputs, optimising towards better translation. This gives a further 0.54 and 0.26 BLEU improvement respectively on the IWSLT 2012 and 2014 evaluation data

The impact of law enforcement on the dispensing antibiotics without prescription in Saudi Arabia : findings and implications

Background: Dispensing of antibiotics without a prescription (DAwP) has been widely practised in Saudi Arabia despite being illegal. This is a concern increasing AMR. In May 2018, the law and regulations were enforced including fines up to 100,000 SR (equivalent to US$26,666) and cancellation of licences. Consequently, we wanted to evaluate the impact. Methods: Mixed method study among 116 community pharmacies in two phases. Pre-law enforcement phase between December 2017 and March 2018 and post-law enforcement phase one year later. Each phase consisted of a cross-sectional questionnaire-based survey and a simulated client method (SCM). In the SCM, clients presented with either pharyngitis or urinary tract infections (UTI) with 3 levels: level 1 – SC asked for something to relieve the symptoms, level 2 – SC asked for something stronger if an antibiotic was not dispensed, level 3 – SC requested an antibiotic. In SCM for each phase, all 116 pharmacies were visited with at least one of the scenarios. Results: Before the law enforcement, 70.7% of community pharmacists reported DAwP was common. 96.6% and 87.7% of participating pharmacies dispensed antibiotics without a prescription for pharyngitis and UTI respectively. After law enforcement, only 12.9% of community pharmacists indicated that DAwP was common, with only 12.1% and 5.2% dispensing antibiotics without prescriptions for pharyngitis and UTI respectively and mostly after level 3. Conclusion: Law enforcement was effective. However, there is still further scope for improvement as community pharmacists are worried patients may go elsewhere if no antibiotic dispensed on request. This could include educational activities

Believing is achieving: a longitudinal study of self-efficacy and positive affect in resettled refugees

Research has shown that self-efficacy can play an important role in recovery from trauma (Benight and Bandura 2004). We hypothesised that for refugees, whose (often traumatic) experiences pre- and post-resettlement have been linked to a decrease in their wellbeing (e.g., Aspinall and Watters 2010), self-efficacy would play a key role in improving wellbeing. This paper investigates the link between self-efficacy and positive affect among resettled refugees (N = 180). Research used mixed methods. The longitudinal survey with three time points confirmed that higher levels of general self-efficacy were consistently associated with better positive affect at later time points. The reverse effects, from positive affect to later self-efficacy, were not significant. In addition, qualitative interviews with a subsample provide suggestions as to how self-efficacy of refugees might be improved: that is, by improving access to employment and language classes, by clarifying how British social and cultural systems work, including the practical information necessary to navigate daily life, and by providing more opportunities to increase social networks, all suggesting the necessity of a proactive role of the receiving society

Mutual Relationships: Saudi Universities and The Private Sector for Economic Development

The purpose of this research is to determine the level of the mutual relationship between Saudi universities and the private sector to achieve Economic development in light of the Kingdoms 2030 vision. The researcher relied heavily on the questionnaire as the primary instrument for data collection for the study, employing a descriptive research design and a quantitative methodology in order to accomplish the goals of the study. The investigation was carried out with a sample size of 180 universities leaders in the southern region of Saudi Arabia, all of them were chosen at random. The findings of this study indicated that leaders had high expectations for a mutual relationship between Saudi universities and the private sector. In addition, the findings demonstrated that there are no statistically significant variations in the mutual relationship between Saudi universities and the private sector with regard to the variables of academic rank, and years of experience

Highly efficient and selective partial reduction of nitroarenes to N-arylhydroxylamines catalysed by phosphine oxide-decorated polymer immobilized ionic liquid stabilized ruthenium nanoparticles

RuNPs stabilised by a polymer immobilised ionic liquid derived from co-polymerisation of a PEG-substituted imidazolium-based styrene monomer and diphenyl(4-vinylphenyl)phosphine oxide, RuNP@O = PPh2-PEGPIILS, (2) is a remarkably efficient and selective catalyst for the hydrazine hydrate-mediated partial reduction of nitroarenes to the corresponding N-arylhydoxylamine. Near quantitative conversion to N-phenylhydroxylamine with > 99 % selectivity was obtained after only 2 h when the reaction was conducted at 25 °C in ethanol under an inert atmosphere using 0.1 mol% catalyst. Under these conditions, the composition-time profile showed that the reduction occurred via the direct pathway whereas reactions in air gave a mixture of azoxy-based products due to competing condensation resulting from reversible formation of N-phenylhydroxylamine. The initial TOF of 6,100 h−1 obtained after 10 min at 40 °C with 0.1 mol% 2 is among the highest to be reported for the metal nanoparticle catalysed reduction of nitrobenzene to N-phenylhydroxylamine and a significant improvement on 5 wt% Ru/C which gave a modest conversion of 21 % (initial TOF = 240 h−1) to a mixture of N-phenylhydroxylamine and aniline. A broad range of substituted N-aryl and N-heteroaryl nitroarenes were reduced to the corresponding N-arylhydroxylamine in high yield and with excellent selectivity by adjusting the reaction times. However, reduction of electron rich amino-substituted nitroarenes was extremely slow and resulted in reduction to the aniline with no evidence for the corresponding hydroxylamine. Complete reduction of amino substituted nitroarene is proposed to be facilitated by amine-assisted elimination of hydroxide from the hydroxylamine to afford a readily reducible quinondiimine-derived iminium intermediate that reacts with a surface hydride to liberate the amine. Under optimum conditions the catalyst could be reused five times for the reduction of nitrobenzene to N-phenylhydroxylamine with no detectable change in activity and only slight decrease in selectivity

Bactericidal activity of biosynthesized silver nanoparticles against human pathogenic bacteria

Green synthesis is an attractive and eco-friendly approach to generate potent antibacterial silver nanoparticles (Ag-NPs). Such particles have long been used to fight bacteria and represent a promising tool to overcome the emergence of antibiotic-resistant bacteria. In this study, green synthesis of Ag-NPs was attempted using plant extracts of Aloe vera, Portulaca oleracea and Cynodon dactylon. The identity and size of Ag-NPs was characterized by ultraviolet–visible spectrophotometer and scanning electron microscopy. Monodispersed Ag-NPs were produced with a range of different sizes based on the plant extract used. The bactericidal activity of Ag-NPs against a number of human pathogenic bacteria was determined using the disc diffusion method. The results showed that Gram positive bacteria were more susceptible than Gram negative ones to these antibacterial agents. The minimum inhibitory concentration was determined using the 96-well plate method. Finally, the mechanism by which Ag-NPs affect bacteria was investigated by SEM analysis. Bacteria treated with Ag-NPs were seen to undergo shrinkage and to lose their viability. This study provides evidence for a cheap and effective method for synthesizing potent bactericidal Ag-NPs and demonstrates their effectiveness against human pathogenic bacteria