Unknown area exploration for robots with energy constraints using a modified Butterfly Optimization Algorithm

Butterfly Optimization Algorithm (BOA) is a recent metaheuristic that has been used in several optimization problems. In this paper, we propose a new version of the algorithm (xBOA) based on the crossover operator and compare its results to the original BOA and 3 other variants recently introduced in the literature. We also proposed a framework for solving the unknown area exploration problem with energy constraints using metaheuristics in both single- and multi-robot scenarios. This framework allowed us to benchmark the performances of different metaheuristics for the robotics exploration problem. We conducted several experiments to validate this framework and used it to compare the effectiveness of xBOA with wellknown metaheuristics used in the literature through 5 evaluation criteria. Although BOA and xBOA are not optimal in all these criteria, we found that BOA can be a good alternative to many metaheuristics in terms of the exploration time, while xBOA is more robust to local optima; has better fitness convergence; and achieves better exploration rates than the original BOA and its other variants

Screening of Murabaha business process through Quran and hadith: a text mining analysis

© 2020, Emerald Publishing Limited. Purpose: This paper revolves around the usage of data analytics in the Qur’an and Hadith through a new text mining technique to answer the main research question of whether the activities and the data flows of the Murabaha financing contract is compatible with Sharia law. The purpose of this paper is to provide a thorough and comprehensive database that will be used to examine existing practices in Islamic banks’ and improve compliancy with Islamic financial law (Sharia). Design/methodology/approach: To design a Sharia-compliant Murabaha business process originated on text mining, the authors start by identifying the factors deemed necessary in their text mining techniques of both texts; using a four-step strategy to analyze those text mining analytics; then, they list the three basic approaches in text mining used for new knowledge discovery in databases: the co-occurrence approach based on the recursive co-occurrence algorithm; the machine learning or statistical-based; and the knowledge-based. They identify any variation and association between the Murabaha business processes produced using text mining against the one developed through data collection. Findings: The main finding attained in this paper is to confirm the compatibility of all activities and the data flows in the Murabaha financing contract produced using data analytics of the Quran and Hadith texts against the Murabaha business process that was developed based on data collection. Another key finding is revealing some shortcomings regarding Islamic banks business process compliance with Sharia law. Practical implications: Given Murabaha as the most popular mode of Islamic financing with more than 75% in total transactions, this research has managed to touch-base on an area that is interesting to the vast majority of those dealing with Islamic finance instruments. By reaching findings that could improve the existing Islamic Murabaha business process and concluding on Sharia compliance of the existing Murabaha business process, this research is quite relevant and could be used in practice as well as in influencing public policy. In fact, Islamic Sharia law experts, Islamic finance professionals and Islamic banks may find the results of this study very useful in improving at least one aspect of the Islamic finance transactions. Originality/value: By using a novel, fresh text mining methods built on recursive occurrence of synonym words from the Qur’an and Hadith to enrich Islamic finance, this research study can claim to have been the first of its kind in using machine learning to mine the Quran, Hadith and in extracting valuable knowledge to support and consolidate the Islamic financial business processes and make them more compliant with the i

Correction to: A Recursive Co-occurrence Text Mining of the Quran to Build Corpora for Islamic Banking Business Processes

As the holy Quran text is time and place based and has “blockchain” like-structure where stories are spread like pieces of puzzles and linked to each other among 6,236 verses from 114 chapters, we present a new recursive co-occurrence text mining algorithm to mine the Holly Quran to build corpora which can be further processed to develop Islamic banking business processes complying which Islamic Sharia’ law. First, we create a list containing all the business process action terms and their synonyms in Arabic

Langue spécialisée " Français" en Orthophonie

L'objectif de ce module "langue spécialisé francais" est que l’étudiant soit capable de définir son domaine, connaitre son rôle et maîtriser son outil de travail pour pouvoir diagnostiquer et prendre en charge les différents troubles dont souffrent ses patients dans un registre linguistique différent qui est le français. Pour arriver à cet objectif nous avons élaboré dix cours détaillés sur ce que c’est l'orthophonie, son historique, son champ d'investigation ainsi que le rôle du professionnel qui l'exerce qui est l'orthophoniste, tout en citant ses différents domaines d'intervention et les troubles qu'elle traite. chaque cours est suivis d’un tableau récapitulatif des concepts clés de chaque cours traduit en langue Arabe et a travers lesquels nous avons essayé d’atteindre nos objectifs

A recursive co-occurrence text mining of the quran to build corpora for islamic banking business processes

© 2019, Springer Nature Switzerland AG. As the holy Quran text is time and place based and has “blockchain” like-structure where stories are spread like pieces of puzzles and linked to each other among 6,236 verses from 114 chapters, we present a new recursive co-occurrence text mining algorithm to mine the Holly Quran to build corpora which can be further processed to develop Islamic banking business processes complying which Islamic Sharia’ law. First, we create a list containing all the business process action terms and their synonyms in Arabic. Then for each term, we run the recursive co-occurrence algorithm to parse the holy Quran and extract all verses that contain the business process action term and all the verses where the action term co-occurs with any other term in the list. The retrieved verses along their chapter number and their verse number are saved and then compiled into business process corpora using. The resulting business processes could further be processed to generate Islamic Business processes that comply with Islamic Sharia Law

Cross-border alliances and strategic games

Purpose – This empirical research examined the factors and conditions that contribute to the success of international strategic learning alliances. The study aimed to provide organisations with evidence-based insights and recommendations that can help them to create more effective and sustainable partnerships and to leverage collaborative learning to drive innovation and growth. The examination is performed using game theory as a mathematical framework to analyse the interaction of the decision-makers, where one alliance's decision is contingent on the decision made by others in the partnership. There are 20 possible games out of 120 outcomes that can be grouped into four different types; each type has been divided into several categories. Design/methodology/approach – The research methodology included secondary and primary data collection using empirical data, the Delphi technique for obtaining qualitative data, a research questionnaire for collecting quantitative data and computer simulation (1,000 cases, network resources and cooperative game theory). The key variables collected and measured when analysing a strategic alliance were identified, grouped and mapped into the developed model. Findings – Most respondents ranked reputation and mutual benefits in Type 1 games relatively high, averaging 4.1 and 3.85 of a possible 5. That is significantly higher than net transfer benefits, ranked at 0.61. The a priori model demonstrate that Type 1 games are the most used in cooperative games and in-game distribution, 40% of all four types of games. This is also confirmed by the random landscape model, approximately 50%. The results of the empirical data in a combination of payoff characteristics for Type 1 games show that joint and reputation benefits are critical for the success of cooperation. Practical implications – Research on cross-border learning alliances has several implications. Managerial implications can help managers to understand the challenges and benefits of engaging in these activities. They can use this knowledge to develop strategies to improve the effectiveness of their cross-border learning alliances. Practical implications, the development of game theory and cross-border models can be applied in effective decision-making in a variety of complex contexts. Learning alliances have important policy implications, particularly in trade, investment and innovation. Policymakers must consider the potential benefits and risks of these collaborations and develop policies that encourage and support them while mitigating potential negative impacts. Originality/value – International learning alliances have become a popular strategy for firms seeking to gain access to new knowledge, capabilities and markets in foreign countries. The originality of this research lies in its ability to contribute to the understanding of the dynamics and outcomes of these complex relationships in a novel and meaningful way

Pseudoacromegaly

© 2018 Elsevier Inc. Individuals with acromegaloid physical appearance or tall stature may be referred to endocrinologists to exclude growth hormone (GH) excess. While some of these subjects could be healthy individuals with normal variants of growth or physical traits, others will have acromegaly or pituitary gigantism, which are, in general, straightforward diagnoses upon assessment of the GH/IGF-1 axis. However, some patients with physical features resembling acromegaly – usually affecting the face and extremities –, or gigantism – accelerated growth/tall stature – will have no abnormalities in the GH axis. This scenario is termed pseudoacromegaly, and its correct diagnosis can be challenging due to the rarity and variability of these conditions, as well as due to significant overlap in their characteristics. In this review we aim to provide a comprehensive overview of pseudoacromegaly conditions, highlighting their similarities and differences with acromegaly and pituitary gigantism, to aid physicians with the diagnosis of patients with pseudoacromegaly.PM is supported by a clinical fellowship by Barts and the London Charity. Our studies on pituitary adenomas and related conditions received support from the Medical Research Council, Rosetrees Trust and the Wellcome Trust

The compatibility of Islam and the West : the context of global banking

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