الأهداف: يهدف البحث الحالي إلى تعرف الذاكرة الدلالية لدى الطلبة المتأخرين دراسياً، وكذلك تعرف الذاكرة الدلالية لدى الطلبة المتأخرين دراسياً وفقاً لمتغير الجنس (ذكور، إناث)، وتعرف التجول العقلي لدى الطلبة المتأخرين دراسياً، ومعرفة التجول العقلي لدى الطلبة المتأخرين دراسياً وفقاً لمتغير الجنس (ذكور، إناث)، ثم تعرف قوة واتجاه العلاقة بين الذاكرة الدلالية والتجول العقلي لدى الطلبة المتأخرين دراسياً. المنهجية

Diverting river flow during construction of a main dam involves the construction of cofferdams, and tunnels, channels or other temporary passages. Diversion channels are commonly used in wide valleys where the high flow makes tunnels or culverts uneconomic. The diversion works must form part of the overall project design since it will have a major impact on its cost, as well as on the design, construction program and overall cost of the permanent works. Construction costs contain of excavation, lining of the channel, and construction of upstream and downstream cofferdams. The optimization model was applied to obtain optimalchannel cross section, height of upstream cofferdam, and height of downstream cofferdamwith minimum construction cost

The author’s taxonomy of the archaic temporally deactivated vocabulary, compiled on the poems by A.S. Pushkin, has been proposed in the article. The definitions of the concepts “obsolete lexicon”, “archaisms” in modern linguistics have been represented. The key approaches and criteria for the classification of archaic vocabulary, which occur at different levels of language: phonetic / phonological, morphological, lexical and syntactic have been outlined. An attempt has been made to classify the archaic vocabulary represented in the poems by A.S. Pushkin. The following thematic groups have been give: complete archaisms and partial archaisms, among which, in turn, can be traced: phonetic / phonological, graphic, word-building archai

The research aims to identify the level meta the memory as well as the point of control and their relationship with the university students and for the purpose of verifying that these of a scale meta the memory prepared by Brewer and British as well as testing and point of control, prepared by the Nawski where the number of items of a scale meta the memory (57) ,Items The test point of the control setting, the number of items (40) items has been to make sure _ psychometrical characters have been applied instrumentson a random sample amounted to (200) students were selected in a stratified random and showed the results of research show that members of the research sample have awareness of how to work their memories, where the average grad

The aim of the research is to examine the multiple intelligence test item selection based on Howard Gardner's MI model using the Generalized Partial Estimation Form, generalized intelligence. The researcher adopted the scale of multiple intelligences by Kardner, it consists of (102) items with eight sub-scales. The sample consisted of (550) students from Baghdad universities, Technology University, al-Mustansiriyah university, and Iraqi University for the academic year (2019/2020). It was verified assumptions theory response to a single (one-dimensional, local autonomy, the curve of individual characteristics, speed factor and application), and analysis of the data according to specimen partial appreciation of the generalized, and limits

Flexible job-shop scheduling problem (FJSP) is one of the instances in flexible manufacturing systems. It is considered as a very complex to control. Hence generating a control system for this problem domain is difficult. FJSP inherits the job-shop scheduling problem characteristics. It has an additional decision level to the sequencing one which allows the operations to be processed on any machine among a set of available machines at a facility. In this article, we present Artificial Fish Swarm Algorithm with Harmony Search for solving the flexible job shop scheduling problem. It is based on the new harmony improvised from results obtained by artificial fish swarm algorithm. This improvised solution is sent to comparison to an overall best

The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of

جدلية التنظرية في الذاكرة المنظمة بين متاهة النماذج الصناعية وواقعيةالنموذج الهجين

Optical Mark Recognition (OMR) is an important technology for applications that require speedy, high-accuracy processing of a huge volume of hand-filled forms. The aim of this technology is to reduce manual work, human effort, high accuracy in assessment, and minimize time for evaluation answer sheets. This paper proposed OMR by using Modify Bidirectional Associative Memory (MBAM), MBAM has two phases (learning and analysis phases), it will learn on the answer sheets that contain the correct answers by giving its own code that represents the number of correct answers, then detection marks from answer sheets by using analysis phase. This proposal will be able to detect no selection or select more than one choice, in addition, using M