Physicians try hard to alleviate mental and physical ailments of their patients. Thus, they are heavily burdened by observing ethics and staying well-informed while improving health of their patients. A major ethical concern or dilemma in medication is that some physicians know their behavior is unethical, yet act against their moral compass. This study develops models of theory–practice gap, offering optimal solutions for the gap. These solutions would enhance self-motivation or remove external obstacles to stimulate ethical practices in medicine. The (...) Constructivist Grounded Theory Methodology is applied here where the participants and the main researcher mutually interacted with each other. Data collection was performed through qualitative methods including observation and semi-structured interviews with 21 physicians and medical students. Initial and focused coding was done, from which principal concepts were later extracted. MAXQDA software was used for analyzing data. Analysis of twelve major concepts in the study resulted in two factors and solution groups, from which four general notions influencing the ethical theory and practice gap in medicine were extracted: (1) providing effective education to change attitude and behavior; (2) considering motivational and emotional factors; (3) reconstructing regulations and processes to facilitate ethical practice; (4) conducting comprehensive and systematic studies. The existing medical educational system needs to be reconsidered to add to individual internal motivation, including optimizing persuasion strategies, maximizing participation of students, adhering to virtuous ethical theories, and fostering emotions. Additionally, regulations and processes can be reconstructed to remove practical obstacles and promote ethical practice with insignificant damages to individual self-motivation. (shrink)

Abstract: In a former paper [21], an exact image compression based on bit-planes blocking was proposed. The proposed algorithm uses two bit codes for block representation. The outcome of the encoding process is two streams: Main Bit Stream, MBS and Residual Bit Stream, RBS. The algorithm core is searching for the greatest block of Unicode to encode in main stream and if not found until size of two by two then it will be kept as is in residual stream. In (...) this paper, a lossy version of that algorithm is presented. The change in the base algorithm is in the definition of the unary-code-block is eased to be above certain percent. The percent is varied from plane to another as their contribution to image power varies. The testing of the proposed algorithm shows comparable results. Image degradations seems restorable even for high compression ratios. (shrink)

Abstract— In this study, a proposed faces recognition methodology based on the neural micro-classifier network. The proposed methodology uses simple well known feature extraction methodology. The feature extraction used is the discrete cosine transformation low frequencies coefficients. The micro-classifier network is a deterministic four layers neural network, the four layers are: input, micro-classifier, counter, and output. The network provide confidence factor, and proper generalization is guaranteed. Also, the network allows incremental learning, and more natural than others. The proposed face recognition (...) methodology was tested using the standard ORL data set. The experimental results of the methodology showed comparative performance. (shrink)