Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for matching function of Boolean retrieval systems is proposed and tried to extend postings list data structures and increase the efficiency of using postings lists and SKIPs. The final effect of these considerations is in decreasing the search time.

Measuring the weight of trees is always possible after cutting trees and it is accompanied by many difficulties and problems. The current research is designed with the aim of providing a numerical model to estimate the weight of the tree trunk before cutting. In this regard, 400 trees were examined in the afforested areas in the west of Gilan province. Before cutting them, 11 variables were measured from each tree, which were considered as independent variables or inputs in modeling. After cutting the trees, the weight of the tree trunks was obtained by direct measurement through a scale. Pearson's correlation test showed that the variables of diameter at 1.30 meters height, diameter at 3 meters height, diameter at 4 meters height, collar diameter and trunk height are the most effective variables on tree trunk weight. Then, based on these 5 variables, the input combinations were arranged into the model and the Multiple Linear Regression model was tested and evaluated. The results showed that the presented model is able to estimate the weight of tree trunks with RMSE = 65.98 kg and R2 = 0.919 by only having two variables of 1.30 diameter and trunk height. According to the NS and NRMSE criteria, which were reported as 0.909 and 0.080, respectively, the quality of the estimations of this model is considered excellent. This achievement can provide the possibility for the managers, planners and users of the wood industry to estimate the trunk weight of each tree with an acceptable error before cutting the trees.                                                                                                                                                                                                                                                                                                                     TRANSLATE with x English Arabic Hebrew Polish Bulgarian Hindi Portuguese Catalan Hmong Daw Romanian Chinese Simplified Hungarian Russian Chinese Traditional Indonesian Slovak Czech Italian Slovenian Danish Japanese Spanish Dutch Klingon Swedish English Korean Thai Estonian Latvian Turkish Finnish Lithuanian Ukrainian French Malay Urdu German Maltese Vietnamese Greek Norwegian Welsh Haitian Creole Persian     TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster Portal Back     This page is in English   Translate to Persian         Afrikaans Albanian Amharic Arabic Armenian Azerbaijani Bengali Bulgarian Catalan Croatian Czech Danish Dutch English Estonian Finnish French German Greek Gujarati Haitian Creole Hebrew Hindi Hungarian Icelandic Indonesian Italian Japanese Kannada Kazakh Khmer Korean Kurdish (Kurmanji) Lao Latvian Lithuanian Malagasy Malay Malayalam Maltese Maori Marathi Myanmar (Burmese) Nepali Norwegian Pashto Persian Polish Portuguese Punjabi Romanian Russian Samoan Simplified Chinese Slovak Slovenian Spanish Swedish Tamil Telugu Thai Traditional Chinese Turkish Ukrainian Urdu Vietnamese Welsh   Always translate English to Persian Never translate English Never translate center.sanad.iau.ir

Medical imaging is a non-invasive technique that has caused significant development in diagnosing and identifying human diseases. Among all medical imaging techniques, magnetic resonance imaging (MRI) is more popular. This method is not harmful to human health and can perform imaging of human brain details with high quality. Correct segmentation of brain tumours in MR images is very important. Traditional methods for segmenting medical images are time-consuming and require high expertise. Deep learning methods for brain tumour segmentation from MR images usually use normal convolution layers, in which they will not have the capability of distinguishing micro-scale and large-scale structures. In this research, a new method based on deep learning for brain tumour segmentation on MR images is presented. The proposed method is a generalization of the famous U-Net architecture, with the difference that the Inception module is used instead of normal convolution layers. Due to convolution kernels with different sizes in parallel, the Inception module can extract small-scale and large-scale features from the image. In the architecture of the proposed model, up-skin connections were used to improve the information flow in the forward propagation stage. In addition, a new pre-processing method based on the image mode was presented in this research, which normalizes the image intensity using the image mode. The proposed method was evaluated on the BraTS 2022 dataset and the accuracy results obtained for the Dice similarity coefficient with a value of 0.91 indicate the improvement of the detection accuracy. The evaluation results show that both hypotheses presented on the effect of high jump connections in improving the flow of information and learning are correct, and the use of the Inception module significantly improved the evaluation criteria of the model.

Introduction: Laser POINTERs are devices that produce a weak laser beam of 630 - 680 nm wavelength and 1-5 m W power (Class II or III A laser). These devices generally emit a red beam that is used by lecturers and teachers for presentations. Some children use POINTERs as toys and sometimes direct the beam to their own or others" eyes.Material and Methods: Following irradiation by a laser POINTER beam for 8 seconds the eyes of Chinchilla rabbits were examined by opthalmoscope, and fluorescein angiography was performed 5 , 10 and 15 min after the exposure. The rabbits were killed immediately or 24 h after exposure, the eyes were enucleated, and the histological features of sections from fundus, retina and choroid were observed by transmission electron microscopy.Results: A fluorescein block was found in the irradiated area immediately after irradiation and it increased in size with increasing time after exposure. The ultrastructural study showed acute edema shortly after exposure and thick collagenic bundles after 24h.Conclusion: Laser POINTERs with labelled power of less than 1 m W are capable of producing visible and ultrastructual lesions in pigmented rabbit eyes.