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Alireza Rezaee

Bio: Alireza Rezaee is an academic researcher from University of Tehran. The author has contributed to research in topics: Genetic algorithm & Mobile robot. The author has an hindex of 6, co-authored 49 publications receiving 155 citations. Previous affiliations of Alireza Rezaee include Islamic Azad University & Amirkabir University of Technology.


Papers
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Journal Article
TL;DR: Bladder cancer was found to be the commonest of the genitourinary cancers, especially in elderly patients, among the Iranian population, significantly higher than in other countries of Asia.
Abstract: We here report the incidence of different types of genitourinary cancers among the Iranian population according to the records of the Iran Ministry of Health and Medical Education. In a population-based cancer-registry study in 2005, all recorded data in pathology laboratories, freestanding cancer clinics and treatment centers, physician offices, and other state central registries were obtained with the assistance of Iran Universities of Medical Sciences and sent to the Diseases Management Center in the Health Ministry. The prevalences of urological cancers were as follows: bladder cancer 48.3%; prostate cancer 33.4%; renal cell carcinoma 10.3%; renal pelvis and ureter cancer 0.75%; testicular cancer 6.15%; penile cancer 0.15%; urethral cancer 0.45%; and other unspecified urinary cancers 0.43%. The male to female ratios for the various common urological cancers varied between 1.69 (renal cell carcinoma) and 7.75 (unspecified urinary cancers). The incidence of prostate cancer among our population was dramatically higher than in other countries of Asia. However, bladder cancer was found to be the commonest of the genitourinary cancers, especially in elderly patients, among our population.

37 citations

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TL;DR: In this article, a modified version of Minkowski fractal geometry is applied on the patch elements, and at the same time 1D electromagnetic bandgap (EBG) structures, composed of 4 EBG elements, are placed between the array elements in a very close distance.
Abstract: This paper presents the simultaneous application of Minkowski fractal geometry and EBG structures for mutual coupling reduction in microstrip array antennas for the first time. In this approach, a modified version of Minkowski fractal geometry is applied on the patch elements, and at the same time 1D electromagnetic bandgap (EBG) structures, composed of 4 EBG elements, are placed between the array elements in a very close distance. Unlike many other coupling reduction methods, which have at least one of the issues of gain reduction or complex fabrication, the proposed method does need any via or double-sided etching and slightly increases the gain of the antenna, while an excellent reduction level of 22.7 dB has been achieved. To verify the concept, 2 array antennas with the spacing of λ0 and λ0/3 were fabricated and tested, showing very good agreement between predicted and measured results.

31 citations

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TL;DR: Using ICU data, sepsis onset can be predicted up to 12 h in advance, and the findings offer an early solution for mitigating the risk of sepsi onset.

25 citations

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TL;DR: Fast COVID-19 Detector (FCOD) as mentioned in this paper is a deep learning model based on the Inception architecture that uses 17 depthwise separable convolution layers to detect COVID19.

21 citations

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TL;DR: Actinomycosis of the breast usually presents as a recurrent abscess with fistulas, which may sometimes present as a breast lump, which is difficult to distinguish from inflammatory carcinoma.
Abstract: Background: Primary actinomycosis of the breast is a rare disease which may present as sinus tract or with mass-like features mimicking malignancy. Clinical presentation makes it di

17 citations


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Journal Article
TL;DR: More rapid completion of a 3‐hour bundle of sepsis care and rapid administration of antibiotics, but not rapid completed of an initial bolus of intravenous fluids, were associated with lower risk‐adjusted in‐hospital mortality.
Abstract: BACKGROUND In 2013, New York began requiring hospitals to follow protocols for the early identification and treatment of sepsis. However, there is controversy about whether more rapid treatment of sepsis improves outcomes in patients. METHODS We studied data from patients with sepsis and septic shock that were reported to the New York State Department of Health from April 1, 2014, to June 30, 2016. Patients had a sepsis protocol initiated within 6 hours after arrival in the emergency department and had all items in a 3‐hour bundle of care for patients with sepsis (i.e., blood cultures, broad‐spectrum antibiotic agents, and lactate measurement) completed within 12 hours. Multilevel models were used to assess the associations between the time until completion of the 3‐hour bundle and risk‐adjusted mortality. We also examined the times to the administration of antibiotics and to the completion of an initial bolus of intravenous fluid. RESULTS Among 49,331 patients at 149 hospitals, 40,696 (82.5%) had the 3‐hour bundle completed within 3 hours. The median time to completion of the 3‐hour bundle was 1.30 hours (interquartile range, 0.65 to 2.35), the median time to the administration of antibiotics was 0.95 hours (interquartile range, 0.35 to 1.95), and the median time to completion of the fluid bolus was 2.56 hours (interquartile range, 1.33 to 4.20). Among patients who had the 3‐hour bundle completed within 12 hours, a longer time to the completion of the bundle was associated with higher risk‐adjusted in‐hospital mortality (odds ratio, 1.04 per hour; 95% confidence interval [CI], 1.02 to 1.05; P<0.001), as was a longer time to the administration of antibiotics (odds ratio, 1.04 per hour; 95% CI, 1.03 to 1.06; P<0.001) but not a longer time to the completion of a bolus of intravenous fluids (odds ratio, 1.01 per hour; 95% CI, 0.99 to 1.02; P=0.21). CONCLUSIONS More rapid completion of a 3‐hour bundle of sepsis care and rapid administration of antibiotics, but not rapid completion of an initial bolus of intravenous fluids, were associated with lower risk‐adjusted in‐hospital mortality. (Funded by the National Institutes of Health and others.)

662 citations

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TL;DR: These signatures, unique or common to the different breast cancer types, provide a new line of investigation to gain further insights into prognosis, treatment strategies and clinical outcome, as well as better understanding of the role of the micro-organisms in the development and progression of breast cancer.
Abstract: A dysbiotic microbiome can potentially contribute to the pathogenesis of many different diseases including cancer. Breast cancer is the second leading cause of cancer death in women. Thus, we investigated the diversity of the microbiome in the four major types of breast cancer: endocrine receptor (ER) positive, triple positive, Her2 positive and triple negative breast cancers. Using a whole genome and transcriptome amplification and a pan-pathogen microarray (PathoChip) strategy, we detected unique and common viral, bacterial, fungal and parasitic signatures for each of the breast cancer types. These were validated by PCR and Sanger sequencing. Hierarchical cluster analysis of the breast cancer samples, based on their detected microbial signatures, showed distinct patterns for the triple negative and triple positive samples, while the ER positive and Her2 positive samples shared similar microbial signatures. These signatures, unique or common to the different breast cancer types, provide a new line of investigation to gain further insights into prognosis, treatment strategies and clinical outcome, as well as better understanding of the role of the micro-organisms in the development and progression of breast cancer.

140 citations

Journal Article
TL;DR: The plan for control and prevention of cancers must be a high priority for health policy in Iran as it is suggested that earlier screening is need for high-risk population.
Abstract: Background: Iran in recent years had the rapid development of industrialization and modernity, and changes in the people's lifestyles and environment, these changes may affect epidemiological patterns of various types of cancers. In this review, incidence and mortality of various cancers (skin, gastric, esophageal, breast, and prostate) in Iran have been reported. Methods: The related data about Iran and other countries were collected from databases such as Google Scholar, Scopus, PubMed, EMBASE, and Web of Science. All included studies were published before Jun 2017. Results: There is an increment trend of incidence and mortality rate for most cancers in Iran. Conclusion: The plan for control and prevention of cancers must be a high priority for health policy in Iran as well as it is suggested that earlier screening is need for high-risk population.

130 citations

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TL;DR: This study aims to provide awareness about prostate cancer as well as an updated knowledge about the epidemiology, etiology, diagnosis and treatment of prostate cancer.
Abstract: Prostate cancer is more common in men over the age of 65 years. There are 15% cases with positive family history of prostate cancer Worldwide. Prostate cancer is the second leading cause of death among the U.S. men. Prostate cancer incidence is strongly related to age with the highest rates in older man. Globally millions of people are suffering from this disease. This study aims to provide awareness about prostate cancer as well as an updated knowledge about the epidemiology, etiology, diagnosis and treatment of prostate cancer.

120 citations

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TL;DR: This article elaborate on FDD from the perspective of the different characteristics a robotic system may have and give examples of successful FDD approaches, and analyses the advantages and disadvantages of each approach with respect to robotic systems.
Abstract: The use of robots in our daily lives is increasing. Different types of robots perform different tasks that are too dangerous or too dull to be done by humans. These sophisticated machines are susceptible to different types of faults. These faults have to be detected and diagnosed in time to allow recovery and continuous operation. The field of Fault Detection and Diagnosis (FDD) has been studied for many years. This research has given birth to many approaches and techniques that are applicable to different types of physical machines. Yet the domain of robotics poses unique requirements that are very challenging for traditional FDD approaches. The study of FDD for robotics is relatively new, and only few surveys were presented. These surveys have focused on traditional FDD approaches and how these approaches may broadly apply to a generic type of robot. Yet robotic systems can be identified by fundamental characteristics, which pose different constraints and requirements from FDD. In this article, we aim to provide the reader with useful insights regarding the use of FDD approaches that best suit the different characteristics of robotic systems. We elaborate on the advantages these approaches have and the challenges they must face. To meet this aim, we use two perspectives: (1) we elaborate on FDD from the perspective of the different characteristics a robotic system may have and give examples of successful FDD approaches, and (2) we elaborate on FDD from the perspective of the different FDD approaches and analyze the advantages and disadvantages of each approach with respect to robotic systems. Finally, we describe research opportunities for robotic systems’ FDD. With these three contributions, readers from the FDD research communities are introduced to FDD for robotic systems, and the robotics research community is introduced to the field of FDD.

101 citations