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304 results on '"Aslani, Amir"'

1. A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities

Author

Weng, Chang, Rood, Scott, Ramezani, Mehdi Ali, Aslani, Amir, Zarrab, Reza, Zwuo, Wang, Salimans, Sanjeev, and Satheesh, Tim

Subjects
Computer Science - Computation and Language
Abstract

Natural Language Processing (NLP) is widely used in fields like machine translation and sentiment analysis. However, traditional NLP models struggle with accuracy and efficiency. This paper introduces Deep Convolutional Neural Networks (DCNN) into NLP to address these issues. By integrating DCNN, machine learning (ML) algorithms, and generative adversarial networks (GAN), the study improves language understanding, reduces ambiguity, and enhances task performance. The high-performance NLP model shows a 10% improvement in segmentation accuracy and a 4% increase in recall rate compared to traditional models. This integrated approach excels in tasks such as word segmentation, part-of-speech tagging, machine translation, and text classification, offering better recognition accuracy and processing efficiency.

Published
2024

4. Optimization of Magnetic Refrigerators by Tuning the Heat Transfer Medium and Operating Conditions

Author

Ghahremani, Mohammadreza, Aslani, Amir, Bennett, Lawrence H., and Della Torre, Edward

Subjects
Condensed Matter - Materials Science, Physics - Instrumentation and Detectors
Abstract

A new experimental test bed has been designed, built, and tested to evaluate the effect of the systems parameters on a reciprocating Active Magnetic Regenerator (AMR) near room temperature. Bulk gadolinium was used as the refrigerant, silicon oil as the heat transfer medium, and a magnetic field of 1.3 T was cycled. This study focuses on the methodology of single stage AMR operation conditions to get a higher temperature span near room temperature. Herein, the main objective is not to report the absolute maximum attainable temperature span seen in an AMR system, but rather to find the systems optimal operating conditions to reach that maximum span. The results of this research show that there is a optimal operating frequency, heat transfer fluid flow rate, flow duration, and displaced volume ratio in an AMR system. By optimizing these parameters the refrigeration performance increased by 24%. It is expected that such optimization will permit the design of a more efficient magnetic refrigeration system., Comment: 5 pages, 1 table, 8 figures

Published
2015

9. Uncovering Cardiac Involvement in Childhood Diabetes: Is it Time to Move Toward Speckle Tracking Echocardiography in Childhood Diabetes Management?

Author

Motamedi, Maryam, Ajami, Gholamhosein, Mohammadi, Hamid, Amirhakimi, Gholamhosein, Namdar, Zahra Mehdipour, Ilkhani, Homa, Moravej, Hossein, Aslani, Amir, and Amirhakimi, Anis

Subjects
endocrine system, diabetes, echocardiography, Original Article, Cardiovascular, speckle tracking echocardiography
Abstract

Context: One of the most common endocrine disorders in children is diabetes which is the leading cause of premature cardiovascular disease in adulthood. Aims: This study is aimed to investigate the extend of cardiac involvement in diabetic children by speckle tracking echocardiography (STE) in comparison to two-dimensional (2D) echocardiography and routine laboratory data. Settings and Design: A cross-sectional study conducted on patients under 18 years of age who deal with type one diabetes mellitus for more than 5 years. Subjects and Methods: To compare the STE results, we included the STE data of 25 normal age-matched children. All patients underwent laboratory analysis for lipid profile, blood sugar, and 2D echocardiography plus STE. Statistical Analysis Used: Two-sample independent t-test, Chi-square test, logistic regression test, Spearman's rank correlation coefficient, and the Pearson correlation coefficient. Results: From March 2018 to 2019, we included 53 patients, mean age 15.8 ± 0.39 years and 52.8% female, and 25 nondiabetic control in this study. STE revealed global longitudinal strain (LS) −18.4 versus − 24.2 for patient (44 valid cases) versus control group, respectively, with significant statistical difference. Diabetic patients had lower LS in all segments compared to the control group. Conclusions: STE has very high sensitivity to detect cardiac involvement far earlier than 2D echocardiography. None of the routine biomarkers or demographic features can predict cardiac involvement based on segmental abnormalities of STE. Active investigation to clear the remote impact of STE abnormalities and its practical role in childhood diabetes management is highly recommended.

Published
2021

11. The value of QRS onset of the outflow tract PVC in V1 and V2 leads recorded in fourth, third, and second intercostal spaces to differentiate main origins of premature ventricular contraction—A prospective cohort study

Author

Jorat, Mohammad V., primary, Vaziri, Farzaneh, additional, Hassanzadeh, Mani, additional, Jorat, Parsa, additional, Mehdipour Namdar, Zahra, additional, Ataei Rooyani, Lobat, additional, Aslani, Amir, additional, and Izadpanah, Peyman, additional

Published
2022
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40. Comparing Clinical and Hemodynamic Parameters between the Two Aortic Valve Replacement in Patients with Severe Aortic Stenosis.

Author

Moaref, Alireza, Zarrabi, Khalil, Hassanzadeh, Mani, Fasihyan, Mahshid, Namdar, Zahra Mehdipour, and Aslani, Amir

Abstract

Context: Various techniques have been proposed for suturing following prosthetic aortic valve implantation, but each has its potential side effects such as patient-prosthesis mismatch (PPM) and paravalvular leak (PVL). Aims: In the present study, we aimed to compare the postoperative sequels of aortic valve replacement (AVR) following the use of two suturing techniques including from the inside of the aorta as the common and classic suturing techniques as compared to new approach including from the outside of the aorta. Settings and Design: This cross-sectional study was performed on patients suffering from symptomatic severe aortic valve disease and candidates for AVR in one of three referral hospitals for cardiovascular disease patients in Shiraz from 2019-2021. Subjects and Methods: The patients underwent one of the two considered surgical techniques for AVR including traditional approach (n = 60) or the tested approach (suturing from the outside of the aorta) (n = 30). Statistical Analysis Used: For statistical analysis, results were presented as mean ± standard deviation for quantitative variables and were summarized by frequency (percentage) for categorical variables. Results: PVL and PPM were revealed in none of the participants undergoing the tested approach, while the pointed complications were found in 41.7% and 25.0% of patients underwent traditional approach, respectively, indicating a significant difference. There was no evidence of abnormal dimensionless valve index (DVI) in the patients undergoing sutures from outside the aorta, whereas the rate of DVI abnormality in the patients undergoing traditional procedures was shown to be 18.3%. The mean aortic valve gradient was significantly higher in the group scheduling for the traditional surgical method. Conclusions: Applying new suturing method as suturing from the outside of the aorta, due to the selection of appropriate valve size, the risk for adverse consequences including PPM, PVL, or DVI can be significantly reduced. [ABSTRACT FROM AUTHOR]

Published
2022
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