A review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gained enormous attention in scientific and practical applications. A smart contract is the central aspect of a blockchain that facilitates blockchain as a platform outside the cryptocurrency spectrum. The development of blockchain technology, with a focus on smart contracts, has advanced significantly in recent years. However research on the smart contract idea has weaknesses in the implementation sectors based on a decentralized network that shares an identical state. This paper extensively reviews smart contracts based on multi criteria analysis challenges and motivations. Therefore, implementing blockchain in multi-criteria research is required to increase the efficiency of interaction between users via supporting information exchange with high trust. Implementing blockchain in the multi-criteria analysis is necessary to increase the efficiency of interaction between users via supporting information exchange and with high confidence, detecting malfunctioning, helping users with performance issues, reaching a consensus, deploying distributed solutions and allocating plans, tasks and joint missions. The smart contract with decision-making performance, planning and execution improves the implementation based on efficiency, sustainability and management. Furthermore the uncertainty and supply chain performance lead to improved users confidence in offering new solutions in exchange for problems in smart contacts. Evaluation includes code analysis and performance while development performance can be under development.Comment: Revie

The Impact of Preliminary Tests on Statistical Reproducibility of Location Tests

This thesis investigates statistical reproducibility (RP) as a predictive inference problem within the framework of nonparametric predictive inference (NPI). NPI is focused on the prediction of future observations using existing data. In this thesis, statistical reproducibility is defined as the probability of the event that, if the test was repeated under the same conditions and with the same sample size, the same test outcome would be obtained. This thesis presents contributions to NPI reproducibility for location tests and preliminary tests which are preliminary statistical analyses performed before the main or location hypothesis testing to evaluate assumptions for their validity. There is an ongoing debate about whether preliminary tests are necessary to validate assumptions for location tests; some argue they are important for optimal performance while others caution against their use. This thesis aims to evaluate the RP for location tests, both with and without preliminary tests, aiming to examine the impact of preliminary tests on the RP for location tests. The potential impact of preliminary tests on RP of location tests is explored through simulation studies that compare RP of location tests with and without such preliminary tests. The findings suggest that the impact of preliminary tests on RP for location tests is small, they do not substantially lead to improved or deteriorated RP of location tests

The Arabic Version of the Adult Eating Behavior Questionnaire among Saudi Population: Translation and Validation

Inherited individual differences in eating behaviors known as “appetitive traits” can be measured using the Adult Eating Behavior Questionnaire (AEBQ). The AEBQ can be used to assess individuals that require intervention regarding their weight, eating habits, and for the identification of eating disorders. Arabic eating behavior assessment tools are few. This study, therefore, aimed to translate and validate the AEBQ in Arabic language (AEBQ-Ar) and to confirm the factor structure while assessing the internal consistency of all subscales. Participants completed the AEBQ-Ar and reported their sociodemographic data online. Exploratory factor analysis (EFA) was used and internal reliability was assessed using Cronbach’s α. Correlations between AEBQ-Ar subscales and body mass index (BMI) were done using Pearson’s correlation. A sample of 596 adults, mean age of 35.61 ± 12.85 years, was recruited from Saudi Arabia. The 6-factor structure was the best model, excluding emotional under- eating subscale and merging enjoyment of food and food responsiveness subscales. Internal consistency was acceptable for all subscales (Cronbach’s α = 0.89–0.66). Emotional over- eating was positively associated with BMI, and slowness in eating was negatively associated with BMI. The AEBQ-Ar with 6-subscales appears to be a valid and reliable psychometric questionnaire to assess appetitive traits in Arabic speakers

Mining Autoimmune-Disorder-Linked Molecular-Mimicry Candidates in <i>Clostridioides difficile</i> and Prospects of Mimic-Based Vaccine Design: An In Silico Approach

Molecular mimicry, a phenomenon in which microbial or environmental antigens resemble host antigens, has been proposed as a potential trigger for autoimmune responses. In this study, we employed a bioinformatics approach to investigate the role of molecular mimicry in Clostridioides difficile-caused infections and the induction of autoimmune disorders due to this phenomenon. Comparing proteomes of host and pathogen, we identified 23 proteins that exhibited significant sequence homology and were linked to autoimmune disorders. The disorders included rheumatoid arthritis, psoriasis, Alzheimer’s disease, etc., while infections included viral and bacterial infections like HIV, HCV, and tuberculosis. The structure of the homologous proteins was superposed, and RMSD was calculated to find the maximum deviation, while accounting for rigid and flexible regions. Two sequence mimics (antigenic, non-allergenic, and immunogenic) of ≥10 amino acids from these proteins were used to design a vaccine construct to explore the possibility of eliciting an immune response. Docking analysis of the top vaccine construct C2 showed favorable interactions with HLA and TLR-4 receptor, indicating potential efficacy. The B-cell and T-helper cell activity was also simulated, showing promising results for effective immunization against C. difficile infections. This study highlights the potential of C. difficile to trigger autoimmunity through molecular mimicry and vaccine design based on sequence mimics that trigger a defensive response

Cardiovascular adverse events of antineoplastic monoclonal antibodies among cancer patients: real-world evidence from a tertiary healthcare system

Abstract Background Antineoplastic monoclonal antibodies (mAbs), such as trastuzumab, bevacizumab, and pertuzumab have been the mainstay of therapy in cancer patients. Despite proven efficacy of the monoclonal antibodies, cardiovascular-induced adverse events such as heart failure, hypertension, ischemic heart disease, arrhythmias, thromboembolic events, and hemorrhage remain a major complication. The European society of cardiology address that concern with antineoplastic monoclonal antibodies issuing a guideline to manage and monitor chemotherapy-induced cardiotoxicity. There is limited evidence of the real-world prevalence of cardiovascular (CV) events induced by monoclonal antibodies among patients with cancer in Saudi Arabia. Objective To evaluate the prevalence of cardiovascular adverse events among patients with cancer treated with monoclonal antibodies in Saudi Arabia. Methods This is a retrospective study conducted in a tertiary care hospital, Riyadh, Saudi Arabia. Data were obtained from an electronic medical record of patients with cancer treated with one of the selected monoclonal antibodies, who met the inclusion criteria between January 2005 until June 2015 and have been followed up for at least one year. Patients were stratified into groups according to monoclonal antibodies treatment: trastuzumab, bevacizumab, pertuzumab, and combined mAbs. Results A total of 1067 patient were included in the study, within the pre-determined study period. The prevalence of cardiovascular disease among patients with cancer treated with monoclonal antibodies was 16.3%. The prevalence of heart failure was relatively higher in the trastuzumab group (46/626 patients, 7.3%). Among 418 patients treated with bevacizumab, hypertension was the most frequent adverse event, reported in 38 patients (9.1%), followed by thromboembolism reported in 27 patients (6.5%). Treatment discontinuation owing to cardiovascular adverse events was reported in 42/1,067 patients (3.9%). Conclusion and relevance Prevalence of antineoplastic monoclonal antibody induced cardiovascular adverse events among patients with cancer is substantially high in Saudi Arabia. There is an urgent need to streamline the practice for identifying high risk patients and flexible referral system for cardio-oncology care

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population