Advances in Distant Diplomatics: A Stylometric Approach to Medieval Charters

The quantitative analysis of writing style (stylometry) is becoming an increasingly common research instrument in philology. When it comes to medieval texts, such a methodology might be able to help us disentangle the multiple authorial strata that can often be discerned in them (issuer, dictator, scribe, etc.). To deliver a proof of concept in 'distant diplomatics,' we have turned to a corpus of twelfth-century Latin charters from the Cambrai episcopal chancery. We subjected this collection to an (unsupervised) stylometric modelling procedure, based on lexical frequency extraction and dimension reduction. In the absence of a sizable 'ground truth' for this material, we zoomed in on a specific case study, namely the oeuvre of the previously identified dictator-scribe known as 'RogF/JeanE.' Our results offer additional support for the attribution of a diplomatic oeuvre to this individual and even allow us to enlarge it with additional documents. Our analysis moreover yielded the serendipitous discovery of another, previously unnoticed, oeuvre, which we tentatively attribute to a scribe-dictator 'JeanB.' We conclude that the large-scale stylometric analysis is a promising methodology for digital diplomatics. More efforts, however, will have to be invested in establishing gold standards for this method to realize its full potential.

A Systematic Modelling Procedure to Design Agent-Oriented Control to Coalition of Capabilities—In the Context of I4.0 as Virtual Assets (AAS)

Manufacturing systems need to meet Industry 4.0 (I4.0) guidelines to deal with uncertainty in scenarios of turbulent demand for products. The engineering concepts to define the service’s resources to manufacture the products will be more flexible, ensuring the possibility of re-planning in operation. These can follow the engineering paradigm based on capabilities. The virtualization of industry components and assets achieves the RAMI 4.0 guidelines and (I4.0C), which describes the Asset Administration Shell (AAS). However, AAS are passive components that provide information about I4.0 assets. The proposal of specific paradigms is exposed for managing these components, as is the case of multi-agent systems (MAS) that attribute intelligence to objects. The implementation of resource coalitions with evolutionary architectures (EAS) applies cooperation and capabilities’ association. Therefore, this work focuses on designing a method for modeling the asset administration shell (AAS) as virtual elements orchestrating intelligent agents (MAS) that attribute cooperation and negotiation through contracts to coalitions based on the engineering capabilities concept. The systematic method suggested in this work is partitioned for the composition of objects, AAS elements, and activities that guarantee the relationship between entities. Finally, Production Flow Schema (PFS) refinements are applied to generate the final Petri net models (PN) and validate them with Snoopy simulations. The results achieved demonstrate the validation of the procedure, eliminating interlocking and enabling liveliness to integrate elements’ behavior.

A Systematic Modelling Procedure to Design Agent-Oriented Control to Coalition of Capabilities - In the Context of I4.0 as Virtual Assets (AAS)

Manufacturing systems need to meet I4.0 guidelines to deal with uncertainty in scenarios of turbulent demand for products. The engineering concepts to define the service’s resources to manufacture the products will be more flexible, ensuring the possibility of re-planning in operation. These can follow the engineering paradigm based on capabilities. The virtualization of industry components and assets achieves the RAMI 4.0 guidelines and (I4.0C), which describes the Asset Administration Shell (AAS). However, AAS are passive components that provide information about I4.0 assets. The proposal of specific paradigms is exposed for managing these components, as is the case of multi-agent systems (MAS) that attribute intelligence to objects. The implementation of resource coalitions with evolutionary architectures (EAS) applies cooperation and capabilities’ association. Therefore, this work focuses on designing a method for modeling the asset administration shell (AAS) as virtual elements orchestrating intelligent agents (MAS) that attribute cooperation and negotiation through contracts to coalitions based on the engineering capabilities concept. The systematic method suggested in this work is partitioned for the composition of objects, AAS elements, and activities that guarantee the relationship between entities. Finally, Production Flow Schema (PFS) refinements are applied to generate the final Petri net models (PN) and validate them with Snoopy simulations. The results achieved demonstrate the validation of the procedure, eliminating interlocking and enabling liveliness to integrate elements behavior.

A Systematic Modelling Procedure to Design Agent-Oriented Control to Coalition of Capabilities - In the Context of I4.0 as Virtual Assets (AAS)

Manufacturing systems need to meet I4.0 guidelines to deal with uncertainty in scenarios of turbulent demand for products. The engineering concepts to define the service’s resources to manufacture the products will be more flexible, ensuring the possibility of re-planning in operation. These can follow the engineering paradigm based on capabilities. The virtualization of industry components and assets achieves the RAMI 4.0 guidelines and (I4.0C), which describes the Asset Administration Shell (AAS). However, AAS are passive components that provide information about I4.0 assets. The proposal of specific paradigms is exposed for managing these components, as is the case of multi-agent systems (MAS) that attribute intelligence to objects. The implementation of resource coalitions with evolutionary architectures (EAS) applies cooperation and capabilities’ association. Therefore, this work focuses on designing a method for modeling the asset administration shell (AAS) as virtual elements orchestrating intelligent agents (MAS) that attribute cooperation and negotiation through contracts to coalitions based on the engineering capabilities concept. The systematic method suggested in this work is partitioned for the composition of objects, AAS elements, and activities that guarantee the relationship between entities. Finally, Production Flow Schema (PFS) refinements are applied to generate the final Petri net models (PN) and validate them with Snoopy simulations. The results achieved demonstrate the validation of the procedure, eliminating interlocking and enabling liveliness to integrate elements behavior.

Student-centred, lecturer-centred, and hybrid teaching methods: Impacts on accounting students' technical and soft skills

Research aim: This study examines the impacts of teaching methods: student-centred, lecture-centred, and hybrid (lecture-student) on technical and soft skills of accounting students. Design/ Methodology/ Approach: The impacts are assessed via a structural modelling procedure using Smart PLS based on survey data gathered from accounting students in one public university in Malaysia. Research findings: Results show the lecturer-centred method impacting the students’ technical skills, and the hybrid method impacting students’ technical and soft skills. It is evident from the analysis that there is minimal impact of the student-centred teaching method on technical and soft skills and of the lecturer-centred teaching method on soft skills of the accounting students. The results suggest that the hybrid teaching method is the most effective teaching method in enhancing accounting students’ technical and soft skills. Practitioner/ Policy implication: This research could assist universities and policymakers to formulate relevant teaching strategies and approaches to enhance accounting students’ competency. Limitation/ Implication: The findings in this study is revisiting and revising the current teaching methods is necessary to prepare future accountants for a career in accounting.

Guidelines for reporting protein modelling studies

Computational modelling tools are widely used, however, articles describing modelling studies frequently do not contain sufficient details to allow the reader to comprehend the modelling procedure, quality of the produced model and validity of interpretations and predictions made based on the model. Here, guidelines were developed for items that have to be included when reporting studies and results based on protein modelling. A brief and concise checklist of required data items was compiled. These guidelines are simple to follow and apply, but require meticulous description of details, many of which can be placed to supplementary material. Authors have to pay attention to details when reporting modelling process. The generated structural models should be made publicly available, preferably by submitting to one of the existing repositories.

Baur dam breach analysis using various manning’s roughness values

This paper describes the importance of flood mapping in terms of saving downstream agricultural area. Flood can cause high impact on the nearby crops productivity which further affects the country’s economy. The Baur dam has a Culturable Command Area of 31453,6572 hectares. It’s key focus is on describing the importance of Manning’s roughness value in dam breach modelling and shows it’s bad impact on downstream areas of dam. In this work hypothetical breach modelling of Baur dam is performed by using Hydrologic Engineer’s Centre- River Analysis System (HEC-RAS). Details about study area, breach parameters, modelling procedure, and outflow flood values are also described in this paper. Flow hydrographs are plotted at different Manning’s roughness value for the two populated downstream areas of dam and it has been observed from results that as roughness value increases flow decreases which justifies Manning’s theory. As a Final result Inundation maps are plotted with the detail of inundated area values for different Manning’s values so that the effect of roughness can be analysed numerically on study area. The Manning’s roughness value of 0.030 causes 37.75km2 inundated area in the downstream of dam.1