There are two approaches for simulating memory as well as learning in artificial intelligence; the functionalistic approach and the cognitive approach. The necessary condition to put the second approach into account is to provide a model of brain activity that contains a quite good congruence with observational facts such as mistakes and forgotten experiences. Given that human memory has a solid core that includes the components of our identity, our family and our hometown, the major and determinative events of our lives, and the countless repeated and accepted facts of our culture, the more we go to the peripheral spots the data becomes flimsier and more easily exposed to oblivion. It was essential to propose a model in which the topographical differences are quite distinguishable. In our proposed model, we have translated this topographical situation into quantities, which are attributed to the nodes. The result is an edge-weighted graph with mass-based values on the nodes which demonstrates the importance of each atomic proposition, as a truth, for an intelligent being. Furthermore, it dynamically develops and modifies, and in successive phases, it changes the mass of the nodes and weight of the edges depending on gathered inputs from the environment.

Using visual-memory to memorize Quran's quotes is accepted as one of the best ways of doing so. Working memory is related to visual information, so, in this paper, Quran's text is analyzed by concepts such as word length effect and list length effect to answer the following question: is there any special discipline in visual structure of Quran quotes in a way that it leads to a better, quicker and easier quote memorizing? To collect data, in this research, The Quranic Arabic Corpus was selected as database and proposed methods in text-data-mining (PHP software, strlen function) and statistical methods were used for data analyzing. The results of each section were compared with word length effect and list length effect criteria and finally Quran readability was determined based on Flesch– Kincaid readability formula (1948). Results show that: 1) the verses length ranges from 1 to 129 words. In this case, the frequency of verses in the range of 2 to 20 words shows a significant difference with other verses. In this range, verses with 4 words are the most frequent ones. In general, by increasing the number of words in each verse, its frequency of repetition decreases, and a general degradation trend is observed, which is consistent with the criterion of list length effect, because as the number of words in one verse increases, its level of difficulty also increases. The average length of the verses is 12. 47, which is considered to be the same as the simple level in terms of the text difficulty level; 2) the number of letters of the Quran's words varies between one and maximum eleven letters. By increasing the length of words (from one to four letters), the frequency of words increases and after four-letter words, and the frequency declines sharply. The most frequent are four-letter words, and words shorter or longer than four letters are less abundant. This implies that throughout the Qur'an the effect of the word length is clearly evident. In other words, it contributes to visual memory and facilitates the learning and memorizing of verses; 3) The study of the relationship between the length of the verses with the length of the words used in them suggests that, although the length of verses increases significantly, the length of the words with an average of 4. 25 does not show a significant difference; 4) As the number of surah increases, the amount of its content decreases, this means that the very pith of information is in the initial chapters, and thus the ordering of the surahs is not one to be expected in a text that is from simple to the difficult one. Overall, findings support the idea of visual structure, such as words and quotes' length is in line with word length effect and list length effect and text difficulty is in its simplest levels which makes visual-memorizing simpler.

This study explored the relationship among working memory (WM), speaking accuracy and length of utterance of Iranian Intermediate EFL learners. The data were collected from 38 female EFL learners whose age range was between 12 and 15 studying English at a language institute in Tehran. First, an Oxford Placement Test (OPT) was administrated to ensure the homogeneity of the participants and based on the results of the test thirty homogenous learners were selected as the main participants of the study. Next, a working memory capacity test developed by Daneman and Carpenter (1980) was administered to the participants. Later, the researcher administered a speaking test on a topic appropriate to the level of the participants which was taken from Top Notch 1 (Saslow & Ascher, 2011). Then, the researcher recorded their voices and transcribed them in order to calculate the number of lexical words the students could articulate based on a formula developed by Gilmore (2004). Speaking accuracy was also measured using a formula developed by Gilabert (2004); In fact, the students' performance was rated by two experienced teachers. Then, the Pearson correlation formula was utilized to analyze the obtained data. The results revealed a significant correlation between working memory capacity and speaking accuracy. Based on the findings, no significant correlation was shown between working memory and length of utterance. And finally, no significant correlation was depicted between length of utterance and speaking accuracy.

This research aims to optimize a 6-transistor SRAM cell based on combination of Schmitt trigger not gate and force stack methods. Considering previous studies, a 12-transistor circuit; single-ended is proposed with 22nm technology at voltage 0. 5 volt. There is an opportunity to use this circuit as a Force stack in hold state and in reading mode the cell will be single ended, So Schmitt trigger not gate will inter the circuit, prevents the reading error. The purpose of this study is to optimize the parameters including speed, power and static noise margin. Finally, the effects of replacing CNTFET transistors on parameters has been investigated using simulation. Simulations have been performed by Hspice software at 25° C. Simulation results have shown that the suggested circuit based on CNTs, increases HSNM about 214mV due to using force stack method. Also, in reading mode RSNM increases more than 131mV considering the not Schmitt trigger’ s gate. Since Nano-tube transistors were used, leakage power decrease from nW to pw and circuit’ s delay is optimized.

Introduction: Central vein catheterization is a standard clinical method for central venous pressure monitoring besides being used for other therapeutic purposes. The present guidelines recommend to place the catheter tip in the superior vena cava above the pericardial cephalic reflection. The aim of this study was to compare the accuracy of two different approaches in locating the tip of the CVC at the suggested vascular zone.Material and methods: This was an interventional study on 100 patients undergoing CABG operation who required a central venous cannulation. They were randomly assigned into two groups. In the first group catheter placement was applied through using the conventional 15 cm method. In the second group a Clength method was applied for measuring the depth of catheter tip insertion from the preoperative chest radiographs. For statistical analysis Chi-square test and T-test were used (SPSS v.22 software).Results: In the first group (15 cm) 100% of the patients had their catheters placed below the C-line (Carina line) and the average distance between the catheter tip and the C-line was 4.22±2.10 cm. In the second (CLength) group 52% of the catheters were below C-line with an average distance of 0.77±0.5 cm. There was a meaningful difference between the two groups in respect to the catheter location depth and zone placement. (P=0.00) Conclusion: The C-Length approach in comparison to the conventional 15 cm approach resulted in a considerable higher number of catheters above the recommended C-line, thus it can provide a more reliable and safe mode for CVC placement in the SVC.

Background & Objective: In addition to pyramidal neurons and interneurons, the hippocampus contains Astrocytes that play important roles in regulating ion flux currents, energy production, neurotransmitter release and memory. Learning needs some instrument for information storage and information maintenances mechanisms resemble to memory. The aim of this study was determination of spatial memory effect on the number of astrocytes in rat’s hippocampus.Materials & Methods: In this experimental study, with usage of Morris Water Maze and Reference memory technique, we used 10 male albino wistar rats. 5 rats were in control group and 5 rats in Reference memory group. After histological preparation, the slides were stained with PTAH staining for showing the Astrocytes. Results: The findings of this study showed significant difference in astrocytes number in CA1, CA2 and CA3 area of hippocampus between control and reference memory group. The mean and SD of astrocytes in CA1, CA2 and CA3 of reference memory group were 118.57±25.29, 58.91±23.59 and 116.6±31.14, that they are more than control group with 49±17.29 in CA1, 48.8±25.21 in CA2 and 41.95±11.22 in CA3. Conclusion: We concluded that the number of astrocytes increased due to spatial learning (e.g. reference memory method).

Background: Disseminated candidiasis, diabetes mellitus, pregnancy, and consumption of widespread antibiotics are predisposing factors of urinary tract infections due to Candida species. The prevalence of nonalbicans species is increasing. The aim of the present study is to identify Candida spp. isolated from candiduria patients in Isfahan, Iran using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.Methods: The genomic DNA was extracted by fast technology for analysis-card (FTA-card). Polymerase chain reaction (PCR) was used to amplify ITS1-5.8s-ITS2 region then PCR products were digested with MspI restriction enzyme. PCR and RFLP products were revealed on 1.5 and 2% agarose gel electrophoresis, respectively.Findings: Out of 3200 urine samples 80 samples with more than 104 CFU/ml were involved in this study. Patients including 4 (5%) were males and 76 patients (95%) were females. Predisposing factors were diabetes (47.5%), urinary tract infection (38.8%) and kidney stone (5.0%). The colony count of 46.3% of the urine samples were with 50´103-99´103 CFU/ml. Candida glabrata was the most prevalent species among isolates (41.3%).Conclusion: Increasing of non-albicans Candida species and drug resistance of isolates are main challenges of Candida infection treatment particularly in patients with diabetes and urinary infections. Identification of Candida species is inevitable for better management of infection.

Considering high age of maturation in sturgeon and with respect to absence of morphological differences in male and female individuals, sex discrimination is always difficult in this group of fishes. In this study we used AFLP technique and 100 primer combinations to screen genome of 10 males and 10 females in Persian sturgeon (Acipenser persicus). Results showed approximately a total of 3771 scorable bands, of which about 1132 bands were polymorphic and were present in both sexes and none of them was specific. According to the results of present study and other studies, it seems that sex chromosomes are not present in both species or maybe the methods utilized couldn’t recognize them.