Pre-meeting support views based on SISCO model

This report presents and compares three different approaches on the implementation of a pre-meeting support sstem. The prototypes described here were developed by three independent teams, two from Brazil and one from Chile. SISCO-Recife and SISCO-Rio are the Brazilian prototypes and USISCO is Chilean. The development of the three prototypes was based on the same SISCO discussion model. SISCO has as its main goal the enhancemnt of meetings productivity through previous discussion. The developed prototypes support asynchronous collaboration, as a preparation for a face-to-face meeting

module-lab-2.1-Thread Safety

Practice & La

Insights on Multi-Agent Systems Applications for Supply Chain Management

In this paper, we review relevant literature on the development of multi-agent systems applications for supply chain management. We give a general picture of the state of the art, showing the main applications developed using this novel methodology for analyzing diverse problems in industry. We also analyze generic frameworks for supply chain modelling, showing their main characteristics. We discuss the main topics addressed with this technique and the degree of development of the contributions.Universidad de Sevilla V PPIT-USPiano della Ricerca Dipartimentale 2016-2018 of DICAR-UniC

How English Foreign Language Students’ Autonomy and Digital Competence Relate to Their Writing Achievement

This study aimed to examine the correlation between learner autonomy, digital competence, and writing achievement. It involved 92 first-year English as a Foreign Language (EFL) students who were enrolled in an intensive course (IC) program of the English department of a state university in Indonesia. This study used three types of data: learner autonomy level elicited by using a questionnaire, digital competence level elicited by using a questionnaire, writing scores that were obtained from the coordinator of the IC program. The research methodology used in this study was quantitative research. The bivariate Spearman correlation was applied to know the correlations between learner autonomy and writing achievement and the correlation between digital competence and writing achievement. The multiple linear regression was computed to examine the correlation of the combination of learner autonomy and digital competence towards writing achievement. The results of the study confirmed that learner autonomy was strongly correlated with writing achievement and digital competence was moderately correlated with writing achievement. The result also showed that there is a statistically significant correlation between a combination of learner autonomy and digital competence towards writing achievement. Therefore, pedagogically, teachers of EFL writing are suggested to promote autonomous learning and at the same time, use technology to foster EFL students' writing achievement

The impact of supply chain structures on performance.

La Tesis analiza el impacto que tiene la estructura de las redes de suministro sobre su rendimiento, concretamente sobre el “efecto látigo” o efecto bullwhip. Para ello se desarrolla una arquitectura basada en la metodología de los sistemas multi-agente, que permite el modelado de sistemas complejos. Dicha arquitectura es implementada en un software dando lugar a un simulador de redes de suministro llamado SCOPE, que permite el modelado y simulación de una amplia variedad de configuraciones de redes de suministro. SCOPE es utilizado para investigar una de las suposiciones más comunes en el campo del modelado de redes de suministro: el uso de estructuras muy sencillas en forma serial generalmente con muy pocas fases funcionales y pocos nodos. Para determinar el impacto de la estructura de la red sobre el efecto bullwhip se utiliza una estructura más compleja y más acorde con las estructuras de redes de suministro reales: la red divergente. Se realizan tres experimentos: (i) análisis comparativo del efecto bullwhip entre la red divergente y la serial; (ii) análisis comparativo de la eficacia de dos técnicas muy conocidas para la limitación del efecto bullwhip entre la red divergente y la serial; (iii) determinación de los parámetros estructurales de la red de suministro divergente y análisis estadístico para determinar si dichos parámetros estructurales impactan sobre el efecto bullwhip. Los resultados obtenidos revelan que todos los parámetros estructurales analizados impactan significativamente sobre efecto bullwhip. Además, en caso de un impulso inesperado en la demanda, el impacto de la red de suministro en el efecto bullwhip es mayor. Las técnicas para limitación del efecto bullwhip son también efectivas en redes de suministro divergentes, consiguiendo además un aumento de su robustez ante cambios bruscos inesperados en la demanda

Development of a Co-Simulation System as a Decision-Aid in Lean Tools Implementation

International audienc

Giving behaviour of zakat through crowdfunding platform: Evidence from Indonesia

Zakat is undeniably an important instrument in Islamic economics that can support and improve the welfare of the people in Indonesia. With the high awareness of the Indonesian people in caring for others, the potential for collecting zakat funds in Indonesia is still not reaching the maximum level. By wielding the theoretical approach of the holistic spirituality model and its micro was giving behavioural constructs, which are transcribed into online survey indicators buttressed with in-depth interviews / direct observations, this study endeavours to understand and examine how the preferences and habits of Indonesian people in donating zakat (alms) through the crowdfunding portal. The study discovers that the crowdfunding portal classification is elaborated into two predominant clusters: the collaborative and corporate platforms. Corporations specialising in social finance fundraising issues created the first collective fashionable means. Various programs uploaded and generated within one platform website will create and initiate the program campaign by co-working and collaborating with others. The second corporate ones are designed and launched by the respective exclusive institution without other brand zakat involvement. Both initiations must be built by an official amil zakat institution. The preference of the zakat payer community is affected by literacy and frequent religiosity sense. Muzaki in entrusting and donating funds toward amil zakat institutions is not only prompted by its membership and affiliation of an institutional entity but also influenced by the inherent choice of literacy perception and religious understanding of individuals

VarSight: prioritizing clinically reported variants with binary classification algorithms.

BackgroundWhen applying genomic medicine to a rare disease patient, the primary goal is to identify one or more genomic variants that may explain the patient's phenotypes. Typically, this is done through annotation, filtering, and then prioritization of variants for manual curation. However, prioritization of variants in rare disease patients remains a challenging task due to the high degree of variability in phenotype presentation and molecular source of disease. Thus, methods that can identify and/or prioritize variants to be clinically reported in the presence of such variability are of critical importance.MethodsWe tested the application of classification algorithms that ingest variant annotations along with phenotype information for predicting whether a variant will ultimately be clinically reported and returned to a patient. To test the classifiers, we performed a retrospective study on variants that were clinically reported to 237 patients in the Undiagnosed Diseases Network.ResultsWe treated the classifiers as variant prioritization systems and compared them to four variant prioritization algorithms and two single-measure controls. We showed that the trained classifiers outperformed all other tested methods with the best classifiers ranking 72% of all reported variants and 94% of reported pathogenic variants in the top 20.ConclusionsWe demonstrated how freely available binary classification algorithms can be used to prioritize variants even in the presence of real-world variability. Furthermore, these classifiers outperformed all other tested methods, suggesting that they may be well suited for working with real rare disease patient datasets