In this paper, an alternative approach in operational modal analysis is presented, utilizing image PROCESSING technique and transmissibility functions. Imaging sensors do not impose additional mass on the structure due to their non-contact nature, while transmissibility functions, independent of excitation type, can directly extract mode shapes. The innovation of this research lies in combining these two techniques to record dynamic responses and identify modal properties. To capture the temporal response history from video signals, the block-matching method with sub-pixel accuracy was employed. Validation was conducted by recording the response of the tip of a cantilevered steel beam subjected to impact excitation, using a high-speed camera and a laser vibrometer, simultaneously. The RMSE plots in the time domain and the PSD in the frequency domain indicate high accuracy of this method. Using this approach, the displacement time histories of various points on the structure were extracted from the video signals, and the modal properties, including natural frequencies, damping ratios, and mode shapes, were identified using the transmissibility matrix method. The results obtained from the proposed method were compared with the stochastic subspace identification (SSI) method and analytical solutions. The findings reveal the accuracy of the modal identification approach introduced in this article. The highest relative error in estimating the natural frequencies of the first and second modes, compared to the values from the laser method, are 0.19% and 0.13%, respectively, and in comparison to the analytical values, they are 0.34% and 1.5%, respectively.

In traditional speech PROCESSING, feature extraction and classification were conducted as separate steps. The advent of deep neural networks has enabled methods that simultaneously model the relationship between acoustic and phonetic characteristics of speech while classifying it directly from the raw waveform. The first convolutional layer in these networks acts as a filter bank. To enhance interpretability and reduce the number of parameters, researchers have explored the use of parametric filters, with the SincNet architecture being a notable advancement. In SincNet's initial convolutional layer, rectangular bandpass filters are learned instead of fully trainable filters. This approach allows for modeling with fewer parameters, thereby improving the network's convergence speed and accuracy. Analyzing the learned filter bank also provides valuable insights into the model's performance. The reduction in parameters, along with increased accuracy and interpretability, has led to the adoption of various parametric filters and deep architectures across diverse speech PROCESSING applications. This paper introduces different types of parametric filters and discusses their integration into various deep architectures. Additionally, it examines the specific applications in speech PROCESSING where these filters have proven effective.

Evaluating the cutting rate (CR) of stones is important in the cost estimation and the planning of the stone PROCESSING plants. This research used regression models to estimate the stones’ CR based on their physico-mechanical characteristics. Stone PROCESSING factories in Mahallat City (Markazi province, Iran) were visited, and the CR of diamond circular saws was recorded on six different travertine stones. Next, the stone block samples were collected from the quarries for laboratory tests. Stones’ porosity (n), uniaxial compressive strength (UCS), and Schmidt hammer hardness (SH) were determined in the laboratory as their physico-mechanical characteristics. Correlation relationships of CR with physico-mechanical characteristics were evaluated using simple and multiple regression analyses, and estimator models were developed. Results showed that multiple regression models are more reliable than simple regression for estimating the stones’ CR. The validity of the developed multiple regression models was verified with the published data of one researcher. The findings indicated that these models are accurate enough for estimating the CR of stones. Consequently, the multiple regression models provide practical advantages for estimating the CR and save time and cost during the planning and design of the stone PROCESSING factories.

1Pulses form stable dietary components for majority of population across the world. Different people consume pulses in different ways like Uncooked, Soaked, and cooked or only cooked without soaking. All these PROCESSING techniques lead to changes in the nutritional value of the pulses. Studies have also reported that in addition to nutritional components like Proteins, Carbohydrates, and fats, pulses also contain anti-nutritional components like Lectins, Tannins, and Polyphenols that greatly interfere with digestion of pulses in the human intestine. Hence in the current study a comprehensive review is being compiled to evaluate the nutritional and antinutritional aspects of pulses and effect of PROCESSING methods on invitro protein and starch digestibility of the pulses.

In some point of view, neither Michel Foucault nor Ibn Khaldun are considered philosophers in the conventional classifications, but both are very  important in intellectual and, of course, in philosophical contexts, especially for those who are interested in the deep study of human life from the perspective of political thought.The main concern of two thinkers, one in the 14th century, the other in the 20th century, is the issue  of power, although neither of them provided a precise definition of it. In this article, an attempt has been made to show the place of power and domination in the political thought of both thinkers by examining the thoughts of two thinkers. And in search of an answer to this question, how did Asabiyyah and industry of religion in Ibn Khaldun's thought and social control through self-technology and discipline in Foucault's thought lead to the expansion of the domination of power? This article is written by analytically comparing the opinions of two thinkers based on Ibn Khaldun's most important book called Muqaddimah and Foucault's late works

سابقه و هدف: واریکوسل از جمله عوامل ناباروری در مردان است. این بیماری، با تغییر در دما و درناژ وریدهای بیضوی موجب اختلال در اسپرماتوژنز و کاهش باروری می گردد. هر چند واریکوسلکتومی، درمان اینگونه بیماران می باشد اما امروزه روشهای کمک باروری و آماده کردن به روشهای مختلف از جمله Sperm PROCESSING و انجام swin up کمک قابل توجهی به این بیماران جهت بارور شدن می نماید.مواد و روشها: این مطالعه به روش مداخله ای در 155 نفر در سال 83 در مرکز ناباروری دانشگاه علوم پزشکی بابل انجام شد. پارامترهای اسپرم افراد واریکوسل قبل و بعد از PROCESSING مورد بررسی قرار گرفت.یافته ها: میانگین سن بیماران 31.8 سال بود. حرکت اسپرم در Grade III و Grade IV قبل از Sperm PROCESSING بترتیب 53.9% و 12.9% بود که بعد از آماده سازی، بترتیب به 78.8% و 56.8% افزایش یافت. Total motility در گروه کمتر از 40 درصد حرکت اسپرم، از 19 نفر به 87 نفر یعنی بیش از 80 درصد افزایش یافت.نتیجه گیری: نتایج این مطالعه نشان داد که در این نوع بیماران می توان به آماده سازی و جمع آوری اسپرمهای مناسب، شانس باروری را افزایش داد.