Overview of blockchain technology cryptographic security

This thesis work is aimed at developing understanding of the hash functions and algorithms being used in blockchain technologies Bitcoin in comparison to Ethereum and private blockchain hash functions. This study attempts to answer one fundamental research question: “What considerations are important in assessing blockchain cryptographic security, with an emphasis on hash functions”. The study was carried out qualitatively using a desk research approach and combining this approach with using two public blockchains-based cryptocurrencies; Ethereum and Bitcoin as case studies. The research aims to provide a holistic view of blockchain cryptographic security comparing Bitcoin and Ethereum as use cases, and thus providing a consolidated document which students studying cryptography can access to obtain a better understanding of what is involved in blockchain security. From an academic perspective, the research aims at providing a model which can be used in assessing what is important to consider in the cryptographic security of blockchains. Three main categories of factors considered were presented in the proposed model which were strategical factors, complexity attributes and technical drivers. This results in a base crucial metrics such as absence of secret seeds, efficiency of verification, preimage collision resistance, fixed output size, low collision probability, and even distribution of preimages in output

Do SETA Interventions Change Security Behavior? – A Literature Review

Information security education, training, and awareness (SETA) are approaches to changing end-users’ security behavior. Research into SETA has conducted interventions to study the effects of SETA on security behavior. However, we lack aggregated knowledge on ‘how do SETA interventions influence security behavior?’. This study reviews 21 empirical SETA intervention studies published across the top IS journals. The theoretical findings show that the research has extended Protection Motivation Theory by (1) enhancements to fear appeals; (2) drawing attention to relevance; (3) incorporating temporality; (4) and shifting from intentions to behavior. In terms of behavior, the SETA interventions have targeted (1) information security policy compliance behavior; and (2) information protection behavior. We argue that while these studies have provided insights into security intentions and behavior, knowledge on designing effective SETA training has remained primarily anecdotal. We contribute (1) by pointing out gaps in the knowledge; and (2) by proposing tentative design recommendations

Childhood colostomies: patterns, indications and outcomes in a Nigerian University Teaching Hospital

Background: Most childhood colostomies are done for decompression or diversion in gastrointestinal tract congenital anomalies.Colostomy may be sited in the transverse or sigmoid colon as loop or defunctioning (divided) colostomies. Current pattern seems towards construction of more sigmoid and defunctioning colostomies. Aims: To evaluate the patterns, indications and outcomes of childhood colostomies. Patients and Methods: Retrospective chart review of all colostomies performed in children below 15 years from September 2010 to August 2020. Results: There were 104 colostomies (55males; 49females; 65 sigmoid; 39 transverse colostomies; 3 loop; 101 defunctioning colostomies. Anorecatal Malformation (ARM)was indication in 32 males and 41 females; age range 2 days to 13 years. Hirschsprung’s Disease (HD) was indication in 18 males and 4 females; age range 6 weeks to 15 years.In HD there were three loop colostomies (3/22) in transverse colon and 19 defunctioning colostomies (8 sigmoid, 11 transverse) while in ARM all 73 were defunctioning colostomies(P=0.01) In HD there were 14/22 transverse colostomies and 8/22 sigmoid colostomies while ARM had 24/73 transverse and 49/73sigmoid colostomies (P =0.013) In HD 91% colostomies were done beyond infancy while in ARM 93% were before one year(P<0.0001). Mortalities were notedin 1.9% patients. Conclusion: Commonest indication for colostomy is ARM. There are more defunctioning than loop colostomies, and more sigmoid than transverse colostomies. of most colostomies in ARM were during infancy while mostly beyond infancy in HD. Keywords: Childhood colostomies; oatterns; indications; outcomes

Organisational Branding, A Strategic Tool for Engineering Customer Satisfaction in Service Industry: A Study of Selected Banks

Effective brand strategies cannot be developed without the customers in mind, hence the need to examine how brand strategies affect the behaviours of these customers to yield a good result. The objective of this study is to evaluate the impact of organisational branding on the levels of customer patronage. A descriptive and survey design was adopted for the study. The population for this study consist of customers from Wema and Zenith bank within Lagos metropolis. The questionnaire was used in eliciting information from respondents, which contained two sections. Two research questions and hypotheses were raised and tested. The data collected was analysed using Statistical Package for Social Sciences (SPSS version 20.0), for frequency distribution. Further analysis was carried out using linear regression and correlation analysis. From the findings made in the study, there is a significant role played by brand identity in meeting customer expectation and there is a significant effect of brand culture on customer satisfaction. It was recommended that management should be conscious of their peculiar corporate identity once established in order to capitalize on their strengths and opportunities, as well as improve on their weaknesses and address their threats in good time and Managers should strive to create a peculiar brand culture in line with their given brand identity, as the creation of a strong brand culture will enable the staff of the organisation to deliver quality service for good customer satisfaction

Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

A model of an automatic detection of misogynistic content in social media in a multilingual environment

There has been enormous growth in the volume of user content posted to social media such as Twitter, Instagram, Facebook, and YouTube. A major challenge for this media is to monitor and prevent the posting of abusive and misogynistic user content, be this bullying content or other types of abusive text content, especially against women. Research work in this area is ongoing. A particular gap, however, is the detection of content across multiple languages especially vernacular, as the tendency is to focus on major languages such as English and Spanish. This research seeks to address both the detection of misogynistic content and the challenge of doing this while taking account of multiple languages. The research will also investigate the relationship between misogyny and other abusive language scenarios in the context earlier stated. Dataset for this research was gotten from social media platforms through their Application Programming Interface (API). The techniques deployed include traditional machine learning algorithms used in building automated modules for categorizing content, text mining for the parsing and analysis of text, and deep learning for learning transfer across different languages/datasets. The proposed conceptual model will be a huge step towards a more ambitious goal of creating novel mechanisms to detect abusive and misogynistic behaviors on social media platforms

Microstructure property classification of nickel-based superalloys using deep learning

Nickel-based superalloys have a wide range of applications in high temperature and stress domains due to their unique mechanical properties. Under mechanical loading at high temperatures, rafting occurs, which reduces the service life of these materials. Rafting is heavily affected by the loading conditions associated with plastic strain; therefore, understanding plastic strain evolution can help understand these material's service life. This research classifies nickel-based superalloys with respect to creep strain with deep learning techniques, a technique that eliminates the need for manual feature extraction of complex microstructures. Phase-field simulation data that displayed similar results to experiments were used to build a model with pre-trained neural networks with several convolutional neural network architectures and hyper-parameters. The optimized hyper-parameters were transferred to scanning electron microscopy images of nickel-based superalloys to build a new model. This fine-tuning process helped mitigate the effect of a small experimental dataset. The built models achieved a classification accuracy of 97.74% on phase-field data and 100% accuracy on experimental data after fine-tuning

A comparison of the drying kinetics, energy consumption and colour quality of drying medicinal 1 leaves in direct-solar dryer with different colours of collector cover

© 2023 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.renene.2023.119076In some countries, Neem and Bitter leaves are often offered as dried medicinal leaves and one of the appealing aspects to consumers is that they retain their original colour after drying. Hence, the purpose of this study was to examine if collector cover colour variations can impact the quality and chlorophyll loss in solar-dried Neem and bitter leaves. To vary the colour spectrum, three distinct coloured polyethene materials with different colours were used as top window-cover for the dryer chamber and collector, which formed a single drying unit of a solar cabinet dryer. The results showed that the yellow-covered solar drying unit achieved 38.8% thermal efficiency, which declined by 1.43% and 10.41% for the blue and white-covered drying unit respectively. The yellow-cover dryer created higher internal temperature and drying rate, enabling it to dry the leaves faster. The average drying rate for Neem and bitter leaves was 0.003762-0.003849kg/h, and 0.004348-0.004689 kg/h respectively. The specific energy consumption for drying the leaves ranged from 10.52-13.89 MJ/kg for all dryers. Colour analysis showed that the yellow-covered dryer dried bitter leaf near its natural colour, while the blue-covered dryer dried Neem near its natural colour. Lograthimic model predicted their moisture ratio better for drying the leaves.Peer reviewe