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Search Results: 1 - 10 of 237523 matches for " Daniel L. Clinciu "
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Classification and regression tree analysis in acute coronary syndrome patients  [PDF]
Heng-Hsin Tung, Chiang-Yi Chen, Kuan-Chia Lin, Nai-Kuan Chou, Jyun-Yi Lee, Daniel L. Clinciu, Ru-Yu Lien
World Journal of Cardiovascular Diseases (WJCD) , 2012, DOI: 10.4236/wjcd.2012.23030
Abstract: Objectives: The objectives of this study are to use CART (Classification and regression tree) and step-wise regression to 1) define the predictors of quality of life in ACS (acute coronary syndrome) patients, using demographics, ACS symptoms, and anxiety as independent variables; and 2) discuss and compare the results of these two statistical approaches. Back- ground: In outcome studies of ACS, CART is a good alternative approach to linear regression; however, CART is rarely used. Methods: A descriptive survey design was used with 100 samples recruited. Result and Conclusions: Anxiety is the most significant predictor and also a stronger predictor than symptoms of ACS for the quality of life. The anxiety level patients experienced at the time heart attack occurred can be used to predict quality of life a month later. Furthermore, the majority of ACS patients experienced a moderate to high level of anxiety during a heart attack.
Planning Forest Accessibility with a Low Ecological Impact
Eugen Iordache,Mihai-Daniel Ni??,Ioan Clinciu
Croatian Journal of Forest Engineering , 2012,
Abstract: This paper examines a new approach to forest accessibility planning based on a GIS road development algorithm and some topographically derived indices. The aim of the paper is to propose and validate a method of assessing forest accessibility introducing an ecological approach, based on morphological impact. For the case study, both cartographic material (DEM) and measured items (existing road network) were used in applying the method. The case study offered the data and possibility to analyze, compare and take into consideration the ecological impact on planning forest accessibility.
The typology, frequency and magnitude of some behaviour events in case of torrential hydrographical management works in the upper Tarlung watershed
Ioan Clinciu,Ion C?t?lin Petri?an,Mihai Daniel Ni??,Nicu Constantin Tudose
Annals of Forest Research , 2010,
Abstract: During the 20-25 years from their startup, the torrential hydrographical management works carried out in the upper T rlung Watershed (55 dams, 22 sills, 25 traverses and 4 outlet canals) have exposed a number of 24 behaviour event types: 13 out of them reduce the safety of exploitation and the sustainability of the works (hereinafter called damages), while the other 11 reduce the functionality of the works (hereinafter called disfunctionalities). The following behaviour events have the highest frequency:(i) damages caused by water and alluvia erosion (erosive damages), followed by breakages, in the category of damages, and (ii) unsupervised installation of forest vegetation on the managed torrential hydrographical network and apron siltation, in the category of disfunctionalities. For methodological reasons, only the erosive damage of works was successively analysed, according to two criteria: the average depth (cm) in the eroded area and the percentage of the erosive area out of the total surface. Further on, by combining the two criteria for analysis, five representation areas with the same damage intensity were defined (very low, low, medium, high and very high intensity). With the aid of the event frequency values recorded in these areas and of the coefficients attributed to each intensity class (from 1 for very low intensity to 5 for very high intensity), the author reached the conclusion that the level of the recorded intensity of the damage caused by water and alluvia erosion ranged from very low to low.
Conceptualization, Cognitive Process between Image and Word
Aurel Ion Clinciu
Bulletin of the Transilvania University of Bra?ov. Series VII : Social Sciences and Law , 2009,
Abstract: The study explores the process of constituting and organizing the system of concepts. After a comparative analysis of image and concept, conceptualization is reconsidered through raising for discussion the relations of concept with image in general and with self-image mirrored in body schema in particular. Taking into consideration the notion of mental space, there is developed an articulated perspective on conceptualization which has the images of mental space at one pole and the categories of language and operations of thinking at the other pole. There are explored the explicative possibilities of the notion of Tversky’s diagrammatic space as an element which is necessary to understand the genesis of graphic behaviour and to define a new construct, graphic intelligence.
Psychological Measures of Spatial Abilities
Laura Teodora David,Aurel Ion Clinciu
Bulletin of the Transilvania University of Bra?ov. Series VII : Social Sciences and Law , 2009,
Abstract: Spatial abilities are divided into three categories: mental rotation, spatial relation and visualization. Several tests are cited in foreign literature that are frequently used in order to assess these abilities, but for Romanian specialists they are not on hand. The present paper is introducing new assessment tools for static spatial abilities that were successfully used along with already validated instruments. Data on statistical qualities of the new instruments are also discussed.
A Probabilistic Model for Reducing Medication Errors
Phung Anh Nguyen, Shabbir Syed-Abdul, Usman Iqbal, Min-Huei Hsu, Chen-Ling Huang, Hsien-Chang Li, Daniel Livius Clinciu, Wen-Shan Jian, Yu-Chuan Jack Li
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0082401
Abstract: Background Medication errors are common, life threatening, costly but preventable. Information technology and automated systems are highly efficient for preventing medication errors and therefore widely employed in hospital settings. The aim of this study was to construct a probabilistic model that can reduce medication errors by identifying uncommon or rare associations between medications and diseases. Methods and Finding(s) Association rules of mining techniques are utilized for 103.5 million prescriptions from Taiwan’s National Health Insurance database. The dataset included 204.5 million diagnoses with ICD9-CM codes and 347.7 million medications by using ATC codes. Disease-Medication (DM) and Medication-Medication (MM) associations were computed by their co-occurrence and associations’ strength were measured by the interestingness or lift values which were being referred as Q values. The DMQs and MMQs were used to develop the AOP model to predict the appropriateness of a given prescription. Validation of this model was done by comparing the results of evaluation performed by the AOP model and verified by human experts. The results showed 96% accuracy for appropriate and 45% accuracy for inappropriate prescriptions, with a sensitivity and specificity of 75.9% and 89.5%, respectively. Conclusions We successfully developed the AOP model as an efficient tool for automatic identification of uncommon or rare associations between disease-medication and medication-medication in prescriptions. The AOP model helps to reduce medication errors by alerting physicians, improving the patients’ safety and the overall quality of care.
Penetrating Trauma Resulting in Ventricular Septal Defect  [PDF]
Daniel Juneau, Daniel Hermann, Gretchen L. Wells
World Journal of Cardiovascular Surgery (WJCS) , 2014, DOI: 10.4236/wjcs.2014.45012
Abstract: Most ventricular septal defects (VSDs) are congenital. Acquired VSDs are generally due to myocardial infarction. An unusual case of VSD from penetrating trauma is described. In this case, the lack of a hemopericardium at presentation led the treatment team not to pursue cardiac pathology. Once the patient developed heart failure, the diagnosis of a VSD was made. Patients with penetrating chest wounds should undergo echocardiography, as such lesions may not be detected by physical examination or chest exploration.
Using Critical Incidents to Validate the Direct Measurement of Attribute Importance and Performance When Analyzing Services  [PDF]
Stephanie L?ffler, Daniel Baier
Journal of Service Science and Management (JSSM) , 2013, DOI: 10.4236/jssm.2013.65A001
Abstract:

Since its introduction into the marketing literature by Martilla and James, the Importance-Performance Analysis has proven multiple times to be a cost-effective technique for measuring attribute importance and performance of services for the customer. Additionally, it gives managers valuable hints in order to improve their products and services. However, despite a long list of successful applications overtime one critical aspect remains—the validation of the importance values by direct measurement. Besides the limitations and critics that accompanied with stated importance techniques, a lot of research results show that it is better to use direct methods in place of indirect measures. Some researchers suggest measuring the customers’ priority structure to compensate the critical points within the direct questioning. This study shows how the critical incident technique can be helpful for the validation of such results.

Bayesian Conjoint Analysis in Water Park Pricing: A New Approach Taking Varying Part Worths for Attribute Levels into Account  [PDF]
Stephanie L?ffler, Daniel Baier
Journal of Service Science and Management (JSSM) , 2015, DOI: 10.4236/jssm.2015.81006
Abstract: Nowadays, the application of conjoint analysis for measuring customers’ preferences for goods and services is wide-spread in marketing. A sample of customers is confronted with fictive offers and asked for evaluations. From these responses part worths for attribute levels of the offers are estimated and used to develop an optimal design and pricing for an offer. However, especially in tourism, it can be observed that attribute importance not only differs between customers but also varies over a single customer’s usage situations and her/his mood. In this paper, we propose a measurement approach that respects this variation. Part worths are stochastically modeled and estimated using Bayesian procedures. The approach is applied to design and price a water park.
Quantization and Stable Attractors in a DissipativeOrbital Motion  [PDF]
Daniel L. Nascimento, Antonio L. A. Fonseca
Journal of Modern Physics (JMP) , 2011, DOI: 10.4236/jmp.2011.24030
Abstract: We present a method for determining the motion of an electron in a hydrogen atom, which starts from a field Lagrangean foundation for non-conservative systems that can exhibit chaotic behavior. As a consequence, the problem of the formation of the atom becomes the problem of finding the possible stable orbital attractors and the associated transition paths through which the electron mechanical energy varies continuously until a stable energy state is reached.
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