An initial state of design and development of intelligent knowledge discovery system for stock exchange database

Data mining is a challenging matter in research field for the last few years.Researchers are using different techniques in data mining.This paper discussed the initial state of Design and Development Intelligent Knowledge Discovery System for Stock Exchange (SE) Databases. We divide our problem in two modules.In first module we define Fuzzy Rule Base System to determined vague information in stock exchange databases.After normalizing massive amount of data we will apply our proposed approach, Mining Frequent Patterns with Neural Networks.Future prediction (e.g., political condition, corporation factors, macro economy factors, and psychological factors of investors) perform an important rule in Stock Exchange, so in our prediction model we will be able to predict results more precisely.In second module we will generate clustering algorithm. Generally our clustering algorithm consists of two steps including training and running steps.The training step is conducted for generating the neural network knowledge based on clustering.In running step, neural network knowledge based is used for supporting the Module in order to generate learned complete data, transformed data and interesting clusters that will help to generate interesting rules

Manajemen Perubahan dan Implementasi dalam Proyek Sistem Informasi

The introduction or replacement of an information system and organizational behavioral impact is very complicated. Changes in how information is defined, accessed, and used to manage organizational resources often result in power sharing and a new strength. This condition is usually caused by mistakes in managing the transition phase. A process of change and implementation have a psychological impact on those affected by change (internal), where if the changes actually happen, will cause the impact of situational for others associated with the organization. Control project risk factors to some extent by the approach just in case. This research uses the concept of integrated project management with a total solution approach, namely awareness, alignment, action, adoption, assurance. This total solution approach through four important stages, namely the determination of the diagnostic phase, redesigning the organization, organizational transformation and continuous improvement with diagrams aids Delta Matrix. Overall information system design and implementation process should be managed as a planned organizational change. Social and technical design aims to obtain an optimal combination of design solutions to social and technical. Key to the success of change management and implementation also relies heavily on the company's commitment, communication skills, focus on implementing change and not be bothered with other things, and utilize human resources to be able to implement the change process and implementation

Early Predictors of Long-Term Disability After Injury

Background: Improving outcomes after serious injury is important to patients, patients’ families, and healthcare providers. Identifying early risk factors for long-term disability after injury will help critical care providers recognize patients at risk. Objectives: To identify early predictors of long-term disability after injury and to ascertain if age, level of disability before injury, posttraumatic psychological distress, and social network factors during hospitalization and recovery significantly contribute to long-term disability after injury. Methods: A prospective, correlational design was used. Injury-specific information on 63 patients with serious, non–central nervous system injury was obtained from medical records; all other data were obtained from interviews (3 per patient) during a 2½-year period. A model was developed to test the theoretical propositions of the disabling process. Predictors of long-term disability were evaluated using path analysis in the context of structural equation modeling. Results: Injuries were predominately due to motor vehicle crashes (37%) or violent assaults (21%). Mean Injury Severity Score was 13.46, and mean length of stay was 12 days. With structural equation modeling, 36% of the variance in long-term disability was explained by predictors present at the time of injury (age, disability before injury), during hospitalization (psychological distress), or soon after discharge (psychological distress, short-term disability after injury). Conclusions: Disability after injury is due partly to an interplay between physical and psychological factors that can be identified soon after injury. By identifying these early predictors, patients at risk for suboptimal outcomes can be detected

Exploring the risk of resulting in homicide and suicide in Spanish missing person cases

The study explores in depth the relationship between missing persons’ psychosocial and criminological characteristics/circumstances and violent-fatal outcomes (suicide and homicide). A relational analytical explicative study of 929 cases and controls was designed using a retrospective and stratified design. Data gathering was conducted through the content analysis of judicial and police information, as well as the development of psychological autopsy techniques and semi-structured interviews with the persons involved in the missing person cases including offenders in prison. Bivariate and multivariate statistical techniques were utilised for analyses. The findings showed that there are different risk and protective factors which can distinguish between good state of health, suicide, and homicide outcomes. This research entails implications for prevention and police risk assessment system

Modifying behaviour on STI including HIV and oncogenic HPV: a draft protocol for a registry open to the registered subject, generating the concept of a 'STI passport'

*** Background *** Sexually transmissible infections (STI) include both HIV and oncogenic HPV with the risk of cervical and oral cancer. Sexual behaviour is the key to the problem but appears very difficult to influence. The STI tend to have different channels of management and don't seem to be managed in a manner that is sufficiently comprehensive. *** Methods *** Analytical consideration of the factors involved. Induction of a solution approach. *** Findings *** Design of a protocol of a STI registry that also covers HIV and oncogenic HPV. The registry would provide a natural environment for education, discussion of doctor and client, and exchange of information between consenting clients. The registry would be open to the registered subject. Registration can be seen as not just useful for the internal system of public health itself but also as a service to the external public. While the registry would protect privacy, people are free to disclose their status to potential partners. People can also ask their potential partner to disclose that status, when it becomes common knowledge that such registration can exist. This facility adds to the sense of control, which is an important psychological factor for behaviour. Provision of this natural environment of information and control fosters the habit of safe sexual conduct. The registered status of infection then can function as a passport that guards the flows between the infected and the non- infected. Capacities, barriers, sticks and carrots determine the effectiveness and efficiency of the scheme. *** Interpretation *** The protocol offers promising avenues for both research by the academia and advance experimentation in communities.

Faktor-Faktor Psikologis sebagai Determinan Kepatuhan Pajak: Studi Eksplorasi pada Wajib Pajak

This study aimed to explore the cognition of taxpayers related to their experience in reporting income tax and understand what the influencing factors on the willingness to pay taxes. Interpretative phenomenology design was applied through semi-structured interviews to four taxpayers as participants. Data was analyzed by developing of textures and structural descriptions. The results showed that psychological factors that considered by participant in their tax behavior including knowledge about the system and tax regulation as well as information on the use of tax returns; perceived service and trust in tax authority. Further research is needed to understand the dynamics of psychological variables in influencing tax behavior with cooperative perspective instead of compliance to avoid punishment

A proposed psychological model of driving automation

This paper considers psychological variables pertinent to driver automation. It is anticipated that driving with automated systems is likely to have a major impact on the drivers and a multiplicity of factors needs to be taken into account. A systems analysis of the driver, vehicle and automation served as the basis for eliciting psychological factors. The main variables to be considered were: feed-back, locus of control, mental workload, driver stress, situational awareness and mental representations. It is expected that anticipating the effects on the driver brought about by vehicle automation could lead to improved design strategies. Based on research evidence in the literature, the psychological factors were assembled into a model for further investigation

Distributed Learning System Design: A New Approach and an Agenda for Future Research

This article presents a theoretical framework designed to guide distributed learning design, with the goal of enhancing the effectiveness of distributed learning systems. The authors begin with a review of the extant research on distributed learning design, and themes embedded in this literature are extracted and discussed to identify critical gaps that should be addressed by future work in this area. A conceptual framework that integrates instructional objectives, targeted competencies, instructional design considerations, and technological features is then developed to address the most pressing gaps in current research and practice. The rationale and logic underlying this framework is explicated. The framework is designed to help guide trainers and instructional designers through critical stages of the distributed learning system design process. In addition, it is intended to help researchers identify critical issues that should serve as the focus of future research efforts. Recommendations and future research directions are presented and discussed

The psychology of driving automation: A discussion with Professor Don Norman

Introducing automation into automobiles had inevitable consequences for the driver and driving. Systems that automate longitudinal and lateral vehicle control may reduce the workload of the driver. This raises questions of what the driver is able to do with this 'spare' attentional capacity. Research in our laboratory suggests that there is unlikely to be any spare capacity because the attentional resources are not 'fixed'. Rather, the resources are inextricably linked to task demand. This paper presents some of the arguments for considering the psychological aspects of the driver when designing automation into automobiles. The arguments are presented in a conversation format, based on discussions with Professor Don Norman. Extracts from relevant papers to support the arguments are presented