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Dealing with mentally ill domestic violence perpetrators: A therapeutic jurisprudence judicial model

INTERNATIONAL JOURNAL OF LAW AND PSYCHIATRY 2010年第5-6期33卷 428-439页

作者： Winick, Bruce J. Wiener, Richard Castro, Anthony Emmert, Aryn Georges, Leah S. Univ Nebraska Lincoln NE 68583 USA Univ Miami Miller Sch Med Dept Psychiat & Behav Sci Coral Gables FL 33124 USA Univ Miami Sch Law Coral Gables FL 33124 USA

People suffering from mental illness are increasingly referred to the domestic violence court. Yet the typical diversion programs available, including batterer's intervention programs, are inappropriate for those with serious mental illness. As a result, the Miami-Dade Domestic Violence Court has developed a new approach for dealing with this population that applies mental health court techniques in domestic violence court. This article will describe and discuss this pioneering model. It also will situate this model within the context of other problem-solving courts and discuss how the court uses principles and approaches of therapeutic jurisprudence. The paper presents some preliminary data that describe the social and legal characteristics of 20 defendants in the Domestic Violence Mental Health Court followed over a two year period between 2005 and 2007. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Domestic violence Problem solving court descriptive process

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A process Mining oriented approach to improve process models analysis in developing countries 13

A Process Mining oriented approach to improve process models...

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13th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

作者： Mapikou, Gaelle Laetitia Mouafo Etoundi, Roger Atsa Univ Yaounde I Dept Comp Sci Yaounde Cameroon

ISBN: (纸本)9781509043200

As a result of the independence and the colonization endured by developing countries, most of their administrative procedures have been inherited from the colonial era. These procedures adapted to the colonizing countries, are complex for the African context. People in charge of their processing are not able to master it, take too much time to put them in practice and consider it as heavy for the administration. Sometimes, some misbehaviors are introduced in the execution of processes to accelerate it;this causes many troubles and incomprehension in their analysis, leading to bad decisions-making within the organization;It is therefore imperative to detect and solve these misbehaviors. The resulting challenge is to improve the comprehension of descriptive process models executed within information systems of developing countries by reducing their structural complexity and detecting anomalies in their execution. A substantial amount of literature has been devoted to this topic, and classified it among the set of problems solved by process mining techniques. process mining is a research discipline interested in the proposal of methods for extracting descriptive business process models incomprehensible by users. Several techniques have been proposed for this purpose among which the alpha-algorithm, central for this work. The aim of this paper is to propose a refinement of this algorithm in order to generate a less structurally complex and more understandable descriptive process from execution logs within an information system. This refinement is essentially based on splitting the process into sub-processes according to the set of roles involved in the business process execution. The proposed model is experimented on a gynecological oncology workflow log and, it is shown how the whole process is split into sub-processes leading to a saving of execution time equivalent to half the execution time of the basic model.

关键词： Event log process mining descriptive process Normative process process discovery alpha-algorithm Developing countries

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A process Mining oriented approach to improve process models analysis in developing countries

A Process Mining oriented approach to improve process models...

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IEEE/ACS International Conference of Computer Systems and Applications

作者： Gaelle Laetitia Mouafo Mapikou Roger Atsa Etoundi Department of Computer Science University of Yaounde I

ISBN: (纸本)9781509043217

As a result of the independence and the colonization endured by developing countries, most of their administrative procedures have been inherited from the colonial era. These procedures adapted to the colonizing countries, are complex for the African context. People in charge of their processing are not able to master it, take too much time to put them in practice and consider it as heavy for the administration. Sometimes, some misbehaviors are introduced in the execution of processes to accelerate it;this causes many troubles and incomprehension in their analysis, leading to bad decisions-making within the organization;It is therefore imperative to detect and solve these misbehaviors. The resulting challenge is to improve the comprehension of descriptive process models executed within information systems of developing countries by reducing their structural complexity and detecting anomalies in their execution. A substantial amount of literature has been devoted to this topic, and classified it among the set of problems solved by process mining techniques. process mining is a research discipline interested in the proposal of methods for extracting descriptive business process models incomprehensible by users. Several techniques have been proposed for this purpose among which the α-algorithm, central for this work. The aim of this paper is to propose a refinement of this algorithm in order to generate a less structurally complex and more understandable descriptive process from execution logs within an information system. This refinement is essentially based on splitting the process into sub-processes according to the set of roles involved in the business process execution. The proposed model is experimented on a gynecological oncology workflow log and, it is shown how the whole process is split into sub-processes leading to a saving of execution time equivalent to half the execution time of the basic model.

关键词： Event log process mining descriptive process Normative process process discovery α-algorithm Developing countries

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process DISCOVERY DRIVEN process OPTIMIZATION: A CASE STUDY TO THE RECRUITMENT OF STATE PERSONNEL IN CAMEROON

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ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES 2017年第1期83卷

作者： Mapikou, Gaelle Laetitia Mouafo Roger, Atsa Etoundi Univ Yaounde I Yaounde Cameroon

process Optimization is a branch of business process management whose purpose is to reduce or eliminate time and resource wastage, unnecessary costs, bottlenecks, and mistakes while achieving the process objective. In the last decades, many practical contributions such as Six Sigma, Lean management, Lean Six Sigma and others have been proposed for optimization, and the associated tools have been widely used and appreciated within organizations. However, the main difficulty with these contributions is that it isn't clearly shown the scientific method used to understand or identify how exactly the actual processes are conducted before optimizing them. If the optimization process is carried out without really understanding how processes are actually going on, then the most likely outcome would be to continue executing outdated and incorrect processes. This paper try to address this difficulty by presenting a methodology for process optimization based on process discovery. process discovery is a method concerned with extracting descriptive business processes from event logs within organization. The proposed methodology proceeds by comparing the process obtained after applying process discovery technique, with the process supposed to be executed. The result of this comparison combined with the way it had an impact on the business goals and customer's requirements are used to efficiently identify possible parts processes to be optimized. The utility of this methodology is demonstrated through its application to the Cameroonian state personal recruitment process. The descriptive process obtained showed that there were some unexpected tasks used in practice, and only 40.23% of files followed expected paths while executing the process. This analysis result has been used to efficiently define the control flow of the optimized absorption process.

关键词： Business process process Discovery process Optimization Event Log Normative process descriptive process

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