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In view of the great importance of dynamical behavior prediction of nanostructures in contact with fluid and their vast range of applications in biomedical engineering, aerospace, etc., in this research, the free vibration of a Nanoscale Euler-Bernoulli rotating beam coupled with incompressible viscous fluid is studied. Small-scale effects are applied by using nonlocal elasticity theory. Using the Navier-Stokes relation, the interaction forces between the fluid and nanobeam are obtained. Governing differential equations have been solved by Galerkin method and the system vibrations frequency response has been obtained for clamped-free boundary condition. Based on the results of this research, nonlocal elasticity has a different effect on different vibration modes. The frequency of the nanobeam coupled with the fluid quickly increases when applying this theory, and the presence of fluid reduces the natural frequencies. [ABSTRACT FROM AUTHOR]

In recent years, deep convolutional neural networks (DCNNs) have shown promising performance in medical image analysis, including breast lesion classification in 2D ultrasound (US) images. Despite the outstanding performance of DCNN solutions, explaining their decisions remains an open investigation. Yet, the explainability of DCNN models has become essential for healthcare systems to accept and trust the models. This paper presents a novel framework for explaining DCNN classification decisions of lesions in ultrasound images using the saliency maps linking the DCNN decisions to known cancer characteristics in the medical domain. The proposed framework consists of three main phases. First, DCNN models for classification in ultrasound images are built. Next, selected methods for visualization are applied to obtain saliency maps on the input images of the DCNN models. In the final phase, the visualization outputs and domain-known cancer characteristics are mapped. The paper then demonstrates the use of the framework for breast lesion classification from ultrasound images. We first follow the transfer learning approach and build two DCNN models. We then analyze the visualization outputs of the trained DCNN models using the EGrad-CAM and Ablation-CAM methods. We map the DCNN model decisions of benign and malignant lesions through the visualization outputs to the characteristics such as echogenicity, calcification, shape, and margin. A retrospective dataset of 1298 US images collected from different hospitals is used to evaluate the effectiveness of the framework. The test results show that these characteristics contribute differently to the benign and malignant lesions' decisions. Our study provides the foundation for other researchers to explain the DCNN classification decisions of other cancer types. [ABSTRACT FROM AUTHOR]

A new genus is proposed to accommodate an undescribed dorylaimid form collected in Iran. Persianema gen. n. is characterised by its three-layered cuticle, oral field appreciably sunken but its perioral area visibly protruding, odontostyle less than one-half of lip region diam. and with large aperture, guiding ring simple and always located in front of odontostyle, odontophore 4-5 times longer than odontostyle, dorsal gland nucleus (DN) very posteriorly located, female genital system di-ovarian with well-developed pars refringens vaginae, tail short and rounded in both sexes, spicules dorylaimid and 3-4 spaced ventromedian supplements with hiatus. Its type and only species, P. enigmaticum sp. n., is described and illustrated, including SEM observations. It is distiguished by its 1.45-2.03 mm long body, lip region offset by shallow depression and 15.5-17.5 μm wide, odontostyle 6-7 μm long with aperture occupying more than half of its length, neck 285-340 μm long, pharyngeal expansion 38-43% of the total neck length, three gland cells present at pharyngo-intestinal junction, simple uterus 81-113 μm or 1.7-3.1 body diam. long, transverse vulva (V = 50-54), tail 15-25 μm long (c = 69-106, c′ = 0.6-0.8) and spicules 38-48 μm long. Molecular analysis of D2-D3 28S rDNA sequences revealed its closest similarity with Pungentus sequences, and an integrative comparison supports its belonging to Pungentinae. [ABSTRACT FROM AUTHOR]

Words and meaning in literary text and especially in poetry are mixed with each other as if each phonemes and syllables used in these works have been chosen with a special elegance in order to convey a special sense and concept. The theory of phonetic induction was first proposed by Maurice Grammon, a French linguist. Based on this theory and using descriptive-analytical method, the present study investigates the inductive sounds in the poem "Sailing" (Парус) by Lermontov and its two existing translations. The results of this research showed that the poet instills a feeling of confusion, struggle, displeasure and anger to the audience with the help of repetition of obstruent consonants, bright vowels, khishumi consonants and bright vowels, respectively. Since the number of phonemes in the original text, verse and prose translation are not equal to each other, in order to make a more accurate and fair conclusion, the percentage of phonemes repeated in each text and the deviation from the standard (it is necessary to remember that the term "deviation from the standard" in the general sense is intended.) The percentage of each repetition compared to the original text is calculated. Finally, it can be said that firstly, the translation of the poem is less complicated and in terms of the number of phonemes used, it is very close to the original poem. Secondly, in both translations, the order of the concepts induced by the repetition of sounds is the same, but it is different from the original text, and thirdly, the deviation from the criterion of the percentage of repetition of inductive sounds in the verse translation is lower than the prose translation, and as a result, the verse translation is closer to the original text in this respect. [ABSTRACT FROM AUTHOR]

The word "clitic" refers to the dependent unit, that depends phonologically on another word or phrase, which is the interface between bound and free morphemes, exists in all languages of the world, and can be divided into types of proclitic, enclitic and endoclitic. In this article, the types of clitic in Persian and Russian languages have been studied and compared with each other, and the similarities and differences between them have been expressed based on the analytical-descriptive method. According to the findings of Iranian linguists, nine enclitics and one proclitic are recognizable in Persian and there is no endoclitic in this language, but in addition to the existence of several endoclitics in Russian, the number of enclitics and proclitics in this language is more than their number in Persian. Many prepositions in Russian are proclitics, but none of the Persian prepositions are proclitics. The reason for this is the different types of stress in these two languages, because prepositions and conjunctions in Persian have stress, but many prepositions, especially monosyllabic prepositions, in Russian do not have stress or their stress depend on the nearby word and are considered a proclitic. [ABSTRACT FROM AUTHOR]