Effets d’une partielle substitutionde la farine de poisson par la farine de soja sur la croissance des juvéniles de la perche du Nil (Lates niloticus, Linnaeus 1758)

La présente étude a été menée pour évaluer les effets de l’incorporation de la farine de soja dans le régime alimentaire des juvéniles de la perche du Nil. Ce travail est réalisé sur des juvéniles de 1g élevés dans des aquariums de 50 l. Cinq régimes alimentaires isoprotéiques (45% de protéines) contenant différents taux de farine de soja 0%, 26%, 36%, 51% et 60% noté respectivement A, B, C, D et E ont été préparés. Chaque régime a été assigné de façon aléatoire à trois groupes de poissons nourris à satiété durant 8 semaines. Les résultats obtenus montrent que les meilleures performances de croissance et d’efficacité alimentaire sont obtenues avec les régimes nourris avec la farine de poisson (A), suivis dans l’ordre des régimes B, C, D et E. Les taux de croissance spécifiques (TCS) varient entre 3,26% et 3,77% respectivement chez les poissons nourris avec les régimes A, B, C, D et E. Le coefficient d’efficacité protéique (CEP) a varié de 2,07 à 1,6. Les résultats statistiques montrent que le meilleur CEP est obtenu avec le régime A (P< 0.05) et le plus faible avec le régime E. Les résultats de la présente étude indiquent qu’il est possible d’incorporer 51% de la farine de soja dans l’alimentation des juvéniles de Lates niloticus sans compromettre leur croissance.Mots clés: Perche du Nil, Lates niloticus, farine de soja, grossissement, alimentation

Activity-Oriented Clustering Techniques in Large Process and Compliance Rule Repositories

Organizations often have to deal with large collections of business process models and compliance rules. Particular challenges in this context are compliance checks, consistency checks, and the maintenance of the process and rule repositories. In case that a-priory knowledge about dependencies within the process base and the rule base is not available, compliance checking must be performed by verifying all rules for each process, which turns out to be very costly in a context of large process and rule repositories. In this paper we present activity-oriented clustering techniques for efficient compliance checking which are particularly applicable in process and rule repositories where no a-priori clustering is considered. Further it is shown how the proposed clustering techniques influence the complexity of consistency checks. Finally, qualitative and quantitative aspects of the presented clustering techniques are discussed. The presented techniques provide a first step towards effective and efficient management of large business process and compliance rule repositories

Sertoli–Leydig cell tumor of the ovary: A diagnostic dilemma

AbstractBackgroundSertoli–Leydig cell tumors are rare sex-cord stromal tumors of the ovary that can present with a variety of histological elements, which may complicate diagnosis and treatment.CaseA 40-year-old female presenting with pelvic pain is found to have a large complex right adnexal mass and elevated alpha-fetoprotein. The mass was diagnosed as a Sertoli–Leydig cell tumor with heterologous elements including carcinoid and hepatoid components. She was treated with surgical resection followed by adjuvant chemotherapy and remains clear of disease.ConclusionPrognostic indicators for Sertoli–Leydig cell tumors include degree and type of heterologous element differentiation. Thorough characterization of such elements is crucial for adequate diagnosis and treatment

On Enabling Integrated Process Compliance with Semantic Constraints in Process Management Systems

Key to broad use of process management systems (PrMS) in practice is their ability to foster and ease the implementation, execution, monitoring, and adaptation of business processes while still being able to ensure robust and error-free process enactment. To meet these demands a variety of mechanisms has been developed to prevent errors at the structural level (e.g., deadlocks). In many application domains, however, processes often have to comply with business level rules and policies (i.e., semantic constraints) as well. Hence, to ensure error-free executions at the semantic level, PrMS need certain control mechanisms for validating and ensuring the compliance with semantic constraints. In this paper, we discuss fundamental requirements for a comprehensive support of semantic constraints in PrMS. Moreover, we provide a survey on existing approaches and discuss to what extent they are able to meet the requirements and which challenges still have to be tackled. In order to tackle the particular challenge of providing integrated compliance support over the process lifecycle, we introduce the SeaFlows framework. The framework introduces a behavioural level view on processes which serves a conceptual process representation for constraint specification approaches. Further, it provides general compliance criteria for static compliance validation but also for dealing with process changes. Altogether, the SeaFlows framework can serve as formal basis for realizing integrated support of semantic constraints in PrMS

Monitoring Business Process Compliance Using Compliance Rule Graphs

Driven by recent trends, effective compliance control has become a crucial success factor for companies nowadays. In this context, compliance monitoring is considered an important building block to support business process compliance. Key to the practical application of a monitoring framework will be its ability to reveal and pinpoint violations of imposed compliance rules that occur during process execution. In this context, we propose a compliance monitoring framework that tackles three major challenges. As a compliance rule can become activated multiple times within a process execution, monitoring only its overall enforcement can be insufficient to assess and deal with compliance violations. Therefore, our approach enables to monitor each activation of a compliance rule individually. In case of violations, we are able to derive the particular root cause, which is helpful to apply specific remedy strategies. Even if a rule activation is not yet violated, the framework can provide assistance in proactively enforcing compliance by deriving measures to render the rule activation satisfied

Compliance of Semantic Constraints - A Requirements Analysis for Process Management Systems

Key to the use of process management systems (PrMS) in practice is their ability to facilitate the implementation, execution, and adaptation of business processes while still being able to ensure error-free process executions. Mechanisms have been developed to prevent errors at the syntactic level such as deadlocks. In many application domains, processes often have to comply with business level rules and policies (i.e., semantic constraints). Hence, in order to ensure error-free executions at the semantic level, PrMS need certain control mechanisms for validating and ensuring the compliance with semantic constraints throughout the process lifecycle. In this paper, we discuss fundamental requirements for a comprehensive support of semantic constraints in PrMS. Moreover, we provide a survey on existing approaches and discuss to what extent they meet the requirements and which challenges still have to be tackled. Finally, we show how the challenge of life time compliance can be dealt with by integrating design time and runtime process validation

Visual Modeling of Business Process Compliance Rules with the Support of Multiple Perspectives

A fundamental challenge for any process-aware information system is to ensure compliance of modeled and executed business processes with imposed compliance rules stemming from guidelines, standards and laws. Such compliance rules usually refer to multiple process perspectives including control flow, time, resources, data, and interactions with business partners. On one hand, compliance rules should be comprehensible for domain experts who must define and apply them. On the other, they should have a precise semantics such that they can be automatically processed. In this context, providing a visual compliance rule language seems promising as it allows hiding formal details and offers an intuitive way of modeling. So far, visual compliance rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this paper provides an approach that extends visual compliance rule languages with the ability to consider data, time, resources, and partner interactions when modeling business process compliance rules. Overall, this extension will foster business process compliance support in practice

On Enabling Data-Aware Compliance Checking of Business Process Models

In the light of an increasing demand on business process compliance, the verication of process models against compliance rules has become essential in enterprise computing. To be broadly applicable compliance checking has to support data-aware compliance rules as well as to consider data conditions within a process model. Independently of the actual technique applied to accomplish compliance checking, dataawareness means that in addition to the control ow dimension, the data dimension has to be explored during compliance checking. However, naive exploration of the data dimension can lead to state explosion. We address this issue by introducing an abstraction approach in this paper. We show how state explosion can be avoided by conducting compliance checking for an abstract process model and abstract compliance rules. Our abstraction approach can serve as preprocessing step to the actual compliance checking and provides the basis for more ecient application of existing compliance checking algorithms

On the Formal Semantics of the Extended Compliance Rule Graph

A fundamental challenge for any process-aware information system is to ensure compliance of modeled and executed business processes with imposed compliance rules stemming from guidelines, standards and laws. Such compliance rules usually refer to multiple process perspectives including control flow, data, time, and resources as well as interactions with business partners. On one hand, compliance rules should be comprehensible for domain experts who must define and apply them. On the other, compliance rules should have precise semantics such that they can be automatically processed. In this context, providing a visual compliance rule language, which hides formal details from rule designers, is crucial in order to enable an intuitive way of modeling. So far, visual compliance rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this report introduces the extended Compliance Rule Graph language and its formal semantics