Multiplicity and Otherness in Mulla Sadra's Philosophy

The generality and determinism of modern political society is a central issue in the present article. We have shown that modern political philosophy, due to the multiplicative nature of society, has become two camps of totalitarians in one hand and pluralists and non-believers on the other. But in our political society, despite the intensifying emergence of social pluralities, we are still locked in a homogeneous and generalized understanding of political society. Considering Mulla Sadra's role in founding contemporary Islamic political thought in Iran, we claim the possibility of reading Mulla Sadra's theory of unity of existence, which provides the possibility of considering the whole of political society simultaneously with the acceptance of individuality and otherness in its modern sense. In this reading, we draw on Paul Ricoeur's hermeneutic model alongside the theory of Emmanuel Levinas, who can think of the capabilities of the text to solve our society's current problem and address zeal

JHAE: A Novel Permutation-Based Authenticated Encryption Mode Based on the Hash Mode JH

In this paper JHAE, an authenticated encryption (AE) mode, was presented based on the JH hash mode. JHAE is an on-line and single-pass dedicated AE mode based on permutation that supports optional associated data (AD). It was proved that this mode, based on ideal permutation, achieved privacy and integrity up to O(2n=2) queries where the length of the used permutation was 2n. To decrypt, JHAE did not require the inverse of its underlying permutation and therefore saved area space. JHAE has been used by Artemia, one of the CAESAR candidates

Admissible Vectors of a Covariant Representation of a Dynamical System

In this paper, we introduce admissible vectors of covariant representations of a dynamical system which are extensions of the usual ones, and compare them with each other. Also, we give some sufficient conditions for a vector to be admissible vector of a covariant pair of a dynamical system.  In addition, we show the existence of Parseval frames for some special subspaces of $L^2(G)$ related to a uniform lattice of $G$

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets

The free flow of information has been accelerated by the rapid development of social media technology. There has been a significant social and psychological impact on the population due to the outbreak of Coronavirus disease (COVID-19). The COVID-19 pandemic is one of the current events being discussed on social media platforms. In order to safeguard societies from this pandemic, studying people's emotions on social media is crucial. As a result of their particular characteristics, sentiment analysis of texts like tweets remains challenging. Sentiment analysis is a powerful text analysis tool. It automatically detects and analyzes opinions and emotions from unstructured data. Texts from a wide range of sources are examined by a sentiment analysis tool, which extracts meaning from them, including emails, surveys, reviews, social media posts, and web articles. To evaluate sentiments, natural language processing (NLP) and machine learning techniques are used, which assign weights to entities, topics, themes, and categories in sentences or phrases. Machine learning tools learn how to detect sentiment without human intervention by examining examples of emotions in text. In a pandemic situation, analyzing social media texts to uncover sentimental trends can be very helpful in gaining a better understanding of society's needs and predicting future trends. We intend to study society's perception of the COVID-19 pandemic through social media using state-of-the-art BERT and Deep CNN models. The superiority of BERT models over other deep models in sentiment analysis is evident and can be concluded from the comparison of the various research studies mentioned in this article.Comment: 20 pages, 5 figure

A systematic review and meta-analysis of pregnancy and COVID-19: Signs and symptoms, laboratory tests, and perinatal outcomes

Background: Coronavirus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 appeared in December 2019 in Wuhan, China. Objective: To investigate the clinical manifestations including signs and symptoms, laboratory results, and perinatal outcomes in pregnant women with COVID-19. Materials and Methods: Scholarly databases such as PubMed via LitCovid hub, Embase, Scopus, Web of sciences, and Google scholar were searched on April 7, 2020. Meta-analysis was performed via comprehensive meta-analysis software using the Mantel-Haenszel method. The event rate with 95% CI was calculated for each variable. Results: Ten studies were selected. The pooled prevalence for fever, post-partum fever, cough, myalgia, fatigue, dyspnea, sore throat, and diarrhea were 66.8%, 37.1%, 35%, 24.6 %, 14.9%, 14.6%, 11.5%, and 7.6%, respectively. Laboratory test results were 49.8% for lymphopenia, 47.7% for leukocytosis, 83.7% for elevated neutrophil ratio, 57% for elevated C-reactive protein, and 71.4% for decreased lymphocyte ratio. The rate of cesarean section for delivery in all cases was 84%. Of the newborns of the corona positive mothers, only one had a positive test result. Also, there was only one death due to a decreased lymphocyte ratio. Conclusion: Fever was the most common sign and symptom in pregnant women with COVID-19. Among the laboratory tests, the highest amount was related to elevated neutrophil ratio. It seems that due to the differences between pregnant women and the general population, special measures should be considered to treat these patients. Key words: COVID-19, Pregnancy, Diagnosis, Signs and symptoms, Meta-analysis

Implementation of Upper Extremity Trauma Registry: A Pilot Study

Hand traumas are common in young men and their complications can have negative effects on their occupation and economic activities. On the other hand, most of the hand injuries are related to occupation accidents and thus necessitates preventive measures. The goal of a clinical registry is assisting epidemiologic surveys, quality improvement preventions. This article explains the first phase of implementing a registry for upper extremity trauma. This phase includes recording of demographic data of patients. A questionnaire was designed. Contents include patients' characteristics, pattern of injury and past medical history in a minimal data set checklist. This questionnaire was filled in the emergency room by general practitioners. For 2 months the data were collected in paper based manner, then problems and obstacles were evaluated and corrected. During this period a web based software was designed. The registry was then ran for another 4 months using web based software. From 6.11.2019 to 5.3.2020, 1675 patients were recorded in the registry. Random check of recorded data suggests that accuracy of records was about 95.5%. Most of the missing data was related to associated injuries and job experience. Some mechanisms of injury seems to be related to Iran community and thus warrants special attention for preventive activities. With a special registry personnel and supervision of plastic surgery faculties, an accurate record of data of upper extremity trauma is possible. The patterns of injury were remarkable and can be used for investigations and policy making for prevention

Frequency of IL-10+CD19+ B cells in patients with prostate cancer compared to patients with benign prostatic hyperplasia

Background: The function of the immune system in prostate cancer (PC) might promote carcinogenesis. PC is a common cancer in men. Regulatory B cells (Bregs) are a new subtype of B cells that have suppressive roles in the immune system. Interleukin-10 (IL-10) is a dominant mediator of immune suppression released by Bregs. Objective: The purpose of this research was to examine the frequency of CD19+IL10+ B cells and IL-10 mRNA expression in patients with PC compared to patients with benign prostatic hyperplasia (BPH). Methods: Forty paraffin tissue samples from patients with PC and 32 paraffin tissue samples from patients with BPH were entered in this study. The immunohistochemistry staining was used to evaluate the pattern expression of CD19 and IL-10 markers. IL-10 mRNA expression in fresh tissue was determined by real time-polymerase chain reaction (RT-PCR). Results: The frequency of CD19+IL-10+ B cells and IL-10 mRNA expression in PC patients were significantly higher than patients with BPH. Also, there was no meaningful relationship between the frequency of IL-10+CD19+ B cells and gleason scores in patients with PC. Conclusions: Our findings suggested that frequency of IL-10+CD19+ B cells correlates with progressive stage of PC

Frequency of IL-10+CD19+ B cells in patients with prostate cancer compared to patients with benign prostatic hyperplasia

Background: The function of the immune system in prostate cancer (PC) might promote carcinogenesis. PC is a common cancer in men. Regulatory B cells (Bregs) are a new subtype of B cells that have suppressive roles in the immune system. Interleukin-10 (IL-10) is a dominant mediator of immune suppression released by Bregs. Objective: The purpose of this research was to examine the frequency of CD19+IL10+ B cells and IL-10 mRNA expression in patients with PC compared to patients with benign prostatic hyperplasia (BPH). Methods: Forty paraffin tissue samples from patients with PC and 32 paraffin tissue samples from patients with BPH were entered in this study. The immunohistochemistry staining was used to evaluate the pattern expression of CD19 and IL-10 markers. IL-10 mRNA expression in fresh tissue was determined by real time-polymerase chain reaction (RT-PCR). Results: The frequency of CD19+IL-10+ B cells and IL-10 mRNA expression in PC patients were significantly higher than patients with BPH. Also, there was no meaningful relationship between the frequency of IL-10+CD19+ B cells and gleason scores in patients with PC. Conclusions: Our findings suggested that frequency of IL-10+CD19+ B cells correlates with progressive stage of PC