25,410 results on '"Abedi A"'
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2. IJCM_217A: Literacy for health: Bridging the gap between female literacy and health seeking behaviour
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Kumari Shivangi, Mehnaz Saira, Abedi Ali Jafar, Ansar M. Athar, and Ahmad Sameena
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cross sectional study ,health service ,utilization ,female literacy ,Public aspects of medicine ,RA1-1270 - Abstract
Background: The private sector has maintained its dominance in the healthcare industry despite numerous government measures to improve public services. Public sector is still not a choice for treatment, various reasons being large distance from residence, poor quality of care, shortage of drugs, poor attitude of health care provider. Enumeration of the factors that defines pattern of the utilization of health services become utmost important. Hence, this study is being conducted to understand the factors behind the utilization of government health services. Objectives: i)To find the prevalence of Reproductive Tract Infections, among married women of reproductive age group, seeking treatment among rural and peri-urban areas of Aligarh. ii) To find the determinants of utilization of reproductive health services among married women in Aligarh. Methods: This cross-sectional study was conducted between 2020-2021 Data was collected through a pretested, semi-structured questionnaire through simple random sampling from 500 married women of reproductive age group, in the field areas registered under Department of Community Medicine, JNMCH A.M.U. Data was analysed using IBM SPSS 20.0. Proportion, frequencies, chi square were used to interpret the data. Results: Among total females interviewed 201 (40.2%) were found to have symptoms of Reproductive Tract Infections, out of them 165, (74.1%) sought treatment. Among 165 females who started treatment, 62.4 % of females seeking treatment were literate.69% females who delayed treatment were illiterate. Self-motivation for treatment was seen among 60.2 % of literate females. Area of residence, social class and female’s role in decision making also determined the treatment seeking behaviour. Conclusion: In our study female literacy has been found as major factor influencing the health seeking behaviour. Factors like place of residence, socio economic status, female role in decision making were significant. There is no denying the significant health benefits of supporting women’s education. Education has a crucial role in family planning, from the earliest stages to caring for one’s own health and newborn children.
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- 2024
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3. IJCM_1A: Connecting Compassionately: An Evaluation of Medical Graduates and Postgraduates Attitudes Toward Learning Communication Skills
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Agrawal Jhilmil, Abedi Ali Jafar, Mehnaz Saira, Zubair Mohd. Yasir, and Maheshwari Veena
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communication-skills ,aetcom ,attitude ,affective ,cognitive ,Public aspects of medicine ,RA1-1270 - Abstract
Background: Good communication skills are crucial for clinicians, influencing patient health and satisfaction. These skills build trust between patients and providers, preventing risks and conflicts. The 2019 introduction of the Attitude, Ethics, and Communication (AETCOM) module in MBBS curriculum by the Medical Council of India aims to enhance medical students’ communication skills, curb malpractices, and uphold patient’s trust in doctors. Methodology: It’s a cross-sectional study conducted in the Department of Community Medicine, J. N. Medical College, AMU, Aligarh. A total of 478 medical-graduates and PGs (divided into four groups of first (2023), second (2022+2021), third (2020+2019) MBBS-batch and fourth (Interns+ PGs) groups) were enrolled to fill up the communication skills attitude scale (CSAS) questionnaire online which consists of 13 positive and 13 negative, and also 13 affective, 5 cognitive and 4 respect attitude questions which was scored in five-point Likert’s scale. The data was analyzed using SPSS 20.0 software. Results: Overall score for positive, negative, affective, cognitive and respect domain were 36.6±7.0, 54.3±6.2, 43.5±4.6, 17.4±2.1 and 17.0±2.3 respectively. There is significant difference in score of negative attitude of first group with second and third group (34.4 vs 37.5, p=0.003 and 34.4 vs 37.8, p=0.001) respectively while positive attitude remained same. Also, significant difference in affective (42.6 vs 44.3, p=0.036) and cognitive (17.1 vs 17.9, p=0.034) component between first and fourth group while no such difference was found in respect attitude. Conclusion: Study reveals a positive inclination among medical graduates and PGs towards CSLP while a decrease in negative attitude of interns and PGs from final year students, may be due to increase in clinical exposure with the patients. The favorable attitude underscores the potential for successful integration of such programs into medical education, fostering effective communication, enhancing the quality of patient care.
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- 2024
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4. IJCM_31A: Menstrual characteristics and school absenteeism among adolescent school girls of Aligarh--A Cross-sectional Study
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Karthika P, Abedi Ali Jafar, Mehnaz Saira, and Tabassum
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menstruation ,adolescence ,absenteeism ,Public aspects of medicine ,RA1-1270 - Abstract
Background: Menstruation is a significant event during adolescence. It is often a challenging period for adolescent girls since it poses significant challenges. The stigma associated with menstruation, difficulties due to menstrual disorders, and period poverty can often lead to school absenteeism and school dropout among girls. Objectives: 1) To identify menstrual characteristics and explore the symptoms associated with menstrual cycles among adolescent schoolgirls of Aligarh. 2) To examine whether adolescent schoolgirls experience absenteeism during menstruation and to elucidate the reasons for such occurrences. Methodology: This is a cross-sectional study carried out among adolescent school girls of Aligarh. Two urban and two rural schools were selected randomly from the co-educational schools in Aligarh, with inclusion criteria comprising adolescent girls in grades six to ten who had experienced menarche at least six months prior. Parental consent and participant assent were obtained, resulting in the participation of 164 students. Data collection was conducted through a questionnaire method. Results: The respondents’ average age was 14.5±1.33 years, with 84.1% exhibiting regular menstrual cycles out of the 164 participants. The mean age at menarche was 12.7±1.02, and the average duration of menstruation was 4.90±1.54 days. Only 12% of students did not experience pain during menstruation, while the majority reported mild (35.4%), pain only on the first day (30.5%), or excessive (2.8%) pain. Predominant pre-menstrual symptoms included irritability, mood disturbances, and breast tenderness. Despite these challenges, a majority of students (84.1%) affirmed not taking leave during menstruation. Among those who did, the reasons included a lack of facilities for changing pads, insufficient disposal systems for pads, and dysmenorrhoea. Conclusion: This study sheds light on the menstrual characteristics and challenges faced by adolescent schoolgirls in Aligarh. Despite the challenges, the students attend school during menstruation which shows the importance of targeted interventions to address the challenges
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- 2024
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5. IJCM_93A: Anthropometric profile of under five children attending Pediatric at rural health training centre in Aligarh (U.P.)
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Bilal Mohammad, Abedi Ali Jafer, Nawab Tabassum, Eram Uzma, Mehnaz Saira, and Hashmi Syed Sohaib
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anthropometry ,malnutrition ,stunting ,under-five ,wasting ,Public aspects of medicine ,RA1-1270 - Abstract
Background: Child undernutrition is a global health concern. Malnutrition continues to be one of the leading causes of morbidity and mortality worldwide, particularly in developing countries like India. As per the NFHS-V, the prevalence of stunting, wasting and underweight in under-five children stands at 35.5%, 19.3% and 32.1% respectively. Anthropometry has become a practical tool for evaluating the nutritional status of populations, particularly of children in developing countries & the nutritional status is the best indicator of global well-being of children. Objective: To describe the anthropometric profile and assess malnutrition using anthropometric measurements of under-five children attending pediatric OPD at Rural Health Training Centre (RHTC), Jawan under Department of Community Medicine, JNMCH, A.M.U., Aligarh (U.P.). Methodology: This is a retrospective study with secondary analysis of anthropometric data of 255 under five children attending pediatric clinic for the first time at RHTC, Jawan, under Department of Community Medicine from January 1, 2023, to June 30, 2023. Collected data were entered into Microsoft Excel and analyzed by using the software SPSS, version 20.0. Results: The median age of the children was 24 months. 52.2% of them were boys and 47.8% were girls. Severe wasting (weight-for-height
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- 2024
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6. Study and analysis of the Chalcolithic Period of Mughan plain based on archaeological data Yataq-Tepesi, northwest of Iran
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Karimikiya A., Rezalou R., Abedi A., Javanmardzadeh A., and Mohammadi M.R.
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yataq-tepesi ,mughan plain ,germi city ,chalcolithic ,south azerbaijan ,Archaeology ,CC1-960 - Abstract
The rivers, including Aras, in the Mughan region played an important role in the formation of the prehistoric sites. The Mughan Plain has not received particular attention in terms of the archaeological investigations, as the extensive scientific activities concentrated on the Lake Urmia basin. Yataq-Tepesi is a prehistoric site in the city of Germi (Mughan Region) that became the subject of the scientific research. The main aim of this paper is to discuss the pottery traditions at the site and to determine the chronological sequence of the studied region. In view of further detailed studies on the cultural relations of Mughan population with other territories, and to establish its chronological sequence, two main questions are posed: how do we date Yataq-Tepesi on the basis of cultural information, including pottery traditions? The main hypothesis suggested here is that the site development took place during the Middle Chalcolithic and Late Chalcolithic periods, somewhere between 4500 and 3700 / 3600 BC. The second question relates to the geographical regions that Yataq-Tepesi was in contact with through cultural relations and trade with other regions of northwestern Iran, especially with the region of Qaradagh and the Lake Urmia basin, as well as with the Southern Caucasus.
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- 2022
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7. Impact of Redshift Space Distortion on Persistent Homology of cosmic matter density field
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Abedi, Fatemeh, Kanafi, Mohammad Hossein Jalali, and Movahed, S. M. S.
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Physics - Data Analysis, Statistics and Probability - Abstract
By employing summary statistics obtained from Persistent Homology (PH), we investigate the influence of Redshift Space Distortion (RSD) on the topology of excursion sets formed through the super-level filtration method applied to three-dimensional matter density fields. The synthetic fields simulated by the Quijote suite in both real and redshift spaces are smoothed by accounting for the Gaussian smoothing function with different scales. The RSD leads a tendency for clusters ($\tilde{\beta}_0$) to shift towards higher thresholds, while filament loops ($\tilde{\beta}_1$) and cosmic voids ($\tilde{\beta}_2$) migrate towards lower thresholds. Notably, $\tilde{\beta}_2$ exhibits greater sensitivity to RSD compared to clusters and independent loops. As the smoothing scales increase, the amplitude of the reduced Betti number curve ($\tilde{\beta}_k$) decreases, and the corresponding peak position shifts towards the mean threshold. Conversely, the amplitude of $\tilde{\beta}_k$ remains almost unchanged with variations in redshift for $z\in[0-3]$. The analysis of persistent entropy and the overall abundance of $k$-holes indicates that the linear Kaiser effect plays a significant role compared to the non-linear effect for $R \gtrsim 30$ Mpc $h^{-1}$ at $z=0$, whereas persistent entropy proves to be a reliable measure against non-linear influences., Comment: 16 pages, 9 figures and 1 table
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- 2024
8. UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription
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Basiri, Reza, Abedi, Ali, Nguyen, Chau, Popovic, Milos R., and Khan, Shehroz S.
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Diabetic foot ulcers (DFUs) are a leading cause of hospitalizations and lower limb amputations, placing a substantial burden on patients and healthcare systems. Early detection and accurate classification of DFUs are critical for preventing serious complications, yet many patients experience delays in receiving care due to limited access to specialized services. Telehealth has emerged as a promising solution, improving access to care and reducing the need for in-person visits. The integration of artificial intelligence and pattern recognition into telemedicine has further enhanced DFU management by enabling automatic detection, classification, and monitoring from images. Despite advancements in artificial intelligence-driven approaches for DFU image analysis, the application of large language models for DFU image transcription has not yet been explored. To address this gap, we introduce UlcerGPT, a novel multimodal approach leveraging large language and vision models for DFU image transcription. This framework combines advanced vision and language models, such as Large Language and Vision Assistant and Chat Generative Pre-trained Transformer, to transcribe DFU images by jointly detecting, classifying, and localizing regions of interest. Through detailed experiments on a public dataset, evaluated by expert clinicians, UlcerGPT demonstrates promising results in the accuracy and efficiency of DFU transcription, offering potential support for clinicians in delivering timely care via telemedicine., Comment: 13 pages, 3 figures, ICPR 2024 Conference (PRHA workshop)
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- 2024
9. Time domain analysis of locally resonant elastic metamaterials under impact
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Caliskan, Erdem, Cheney, Willoughby, Wang, Weidi, Plaisted, Thomas, Amirkhizi, Alireza V., and Abedi, Reza
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Physics - Applied Physics - Abstract
The microstructure of a material can be engineered to achieve unique properties not found in nature. Microstructured materials, also known as metamaterials (MMs), can exhibit properties utilizing local resonance and dynamics of their heterogeneous microstructure that are activated below the traditional Bragg limit. In this study, the linear dynamic response of a low-frequency resonant ceramic MM slab is analyzed using the Finite Element Method (FEM) in the time domain. The MM is compared to monolithic slabs and other microstructured designs in terms of stress wave mitigation, peak load retardation, and energy transfer. Simulations are conducted using various boundary conditions and domain sizes to evaluate their influence on the performance. Potential graded slab designs and material damping effects are also discussed and are both shown to reduce the energy transmitted from the impact surface to the opposing surface significantly. The results showed that the MM slabs had superior performance in reducing the peak stress wave and reducing the transfer of energy. This study demonstrates that resonant ceramic MMs are a promising material design with unique and tunable properties that can be used for stress wave mitigation and structural protection applications.
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- 2024
10. Manufacturing, processing, applications, and advancements of Fe-based shape memory alloys
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Algamal, Anwar, Abedi, Hossein, Gandhi, Umesh, Benafan, Othmane, Elahinia, Mohammad, and Qattawi, Ala
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Physics - Applied Physics ,Condensed Matter - Materials Science - Abstract
Fe-based shape memory alloys (Fe-SMAs) belong to smart metallic materials that can memorize or restore their preset shape after experiencing a substantial amount of deformation under heat, stress, or magnetic stimuli. Fe-SMAs have remarkable thermomechanical properties and have attracted significant interest because of their potential merits, such as cost-effective alloying elements, superior workability, weldability, a stable superelastic response, and low-temperature dependence of critical stress required for stress-induced martensitic transformation. Therefore, Fe-SMAs can be an intriguing and economical alternative to other SMAs. The recent advancements in fabrication methods of conventional metals and SMAs are helping the production of customized powder composition and then customized geometries by additive manufacturing (AM). The technology in these areas, i.e., fabrication techniques, experimental characterization, and theoretical formulations of Fe-SMAs for conventional and AM has been rapidly advancing and is lacking a comprehensive review. This paper provides a critical review of the recent developments in Fe-SMAs-related research. The conventional and AM-based methods of producing Fe-SMAs are discussed, and a detailed review of the current research trends on Fe-SMAs including 4-D printing of Fe-SMAs are comprehensively documented. The presented review provides a comprehensive review of experimental methods and processes used to determine the material characteristics and features of Fe-SMAs. In addition, the work provides a review of the reported computational modeling of Fe-SMAs to help design new Fe-SMA composition and geometry. Finally, different Fe-SMAs-based applications such as sensing and damping systems, tube coupling, and reinforced concrete are also discussed., Comment: Comprehensive review on the status of art on producing iron-based shape memory alloy. 42 pages of manuscript excluding references list
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- 2024
11. Investigation on Physicochemical Properties of Wastewater Grown Microalgae Methyl Ester and its Effects on CI Engine
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Tayari Sara, Abedi Reza, and Abedi Ali
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chlorella vulgaris ,engine performance ,exhaust emissions ,microalgae ,wastewater ,Renewable energy sources ,TJ807-830 - Abstract
Microalgae have been mentioned as a promising feedstock for biodiesel production. In this study, microalgae Chlorella vulgaris (MCV) was cultivated in a bioreactor with wastewater. After biodiesel production from MCV oil via transesterification reaction, chemical and physical properties of MCV methyl ester were evaluated with regular diesel and ASTM standard. Besides, engine performance and exhaust emissions of CI engine fuelled with the blends of diesel-biodiesel were measured. The GC-MS analysis showed that oleic and linoleic acids were the main fatty acid compounds in the MCV methyl ester. Engine test results revealed that the use of biodiesel had led to a major decrease in CO and HC emissions and a modest reduction in CO2 emissions, whereas there was a minor increase in NOx emissions. Furthermore, there was a slight decrease in the engine power and torque while a modest increase in brake specific fuel consumption which are acceptable due to exhaust emissions reduction. The experimental results illustrate considerable capabilities of applied MVC biodiesel as an alternative fuel in diesel engines to diminish the emissions.
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- 2020
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12. Photometry, light curve solution and period study of contact binary BX And
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Partovi M., Abedi A., and Roobiat K.Y.
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binaries: close ,binaries: eclipsing ,stars: individual: bx and ,techniques: photometric ,Astronomy ,QB1-991 - Abstract
The photometry of the binary star BX And (HIP 10027) is performed during several nights in October and November 2019, and October 2020 using B, V, and R Johnson-Cousins filters in Dr. Mojtahedi Observatory of the University of Birjand. Astronomical image processing and data reduction are performed by the IRIS software and light curves are obtained. These curves, along with the radial velocity data of the binary star, are analyzed by the Phoebe program to determine the physical and geometric parameters of the system. The evolutionary state of this system is investigated using the Hertzsprung-Russell (H-R) and density vs color index diagrams. The O-C curve is plotted using the eclipse times obtained in this study and those reported in the literature. By fitting a quadratic function to this curve, a new linear ephemeris is obtained for the system, and the mass transfer rate between the components of the system is determined. A periodic behavior is observed in the residuals, after subtracting the quadratic function from the O-C curve. These periodic changes are attributed to the presence of a third component in the system. The parameters of the third component are determined by fitting the light-time function to the residuals curve.
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- 2021
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13. Zinc finger nuclease-mediated gene editing in hematopoietic stem cells results in reactivation of fetal hemoglobin in sickle cell disease.
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Lessard, Samuel, Rimmelé, Pauline, Ling, Hui, Moran, Kevin, Vieira, Benjamin, Lin, Yi-Dong, Rajani, Gaurav, Hong, Vu, Reik, Andreas, Boismenu, Richard, Hsu, Ben, Chen, Michael, Cockroft, Bettina, Uchida, Naoya, Tisdale, John, Alavi, Asif, Krishnamurti, Lakshmanan, Abedi, Mehrdad, Galeon, Isobelle, Reiner, David, Wang, Lin, Ramezi, Anne, Rendo, Pablo, Walters, Mark, Levasseur, Dana, Peters, Robert, Harris, Timothy, and Hicks, Alexandra
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Anemia ,Sickle Cell ,Fetal Hemoglobin ,Humans ,Gene Editing ,Hematopoietic Stem Cells ,Zinc Finger Nucleases ,Female ,Male ,Adult ,Hematopoietic Stem Cell Transplantation ,Animals ,Mice ,Repressor Proteins - Abstract
BIVV003 is a gene-edited autologous cell therapy in clinical development for the potential treatment of sickle cell disease (SCD). Hematopoietic stem cells (HSC) are genetically modified with mRNA encoding zinc finger nucleases (ZFN) that target and disrupt a specific regulatory GATAA motif in the BCL11A erythroid enhancer to reactivate fetal hemoglobin (HbF). We characterized ZFN-edited HSC from healthy donors and donors with SCD. Results of preclinical studies show that ZFN-mediated editing is highly efficient, with enriched biallelic editing and high frequency of on-target indels, producing HSC capable of long-term multilineage engraftment in vivo, and express HbF in erythroid progeny. Interim results from the Phase 1/2 PRECIZN-1 study demonstrated that BIVV003 was well-tolerated in seven participants with SCD, of whom five of the six with more than 3 months of follow-up displayed increased total hemoglobin and HbF, and no severe vaso-occlusive crises. Our data suggest BIVV003 represents a compelling and novel cell therapy for the potential treatment of SCD.
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- 2024
14. Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples
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Khallaghi, Sam, Abedi, Rahebe, Ali, Hanan Abou, Alemohammad, Hamed, Asipunu, Mary Dziedzorm, Alatise, Ismail, Ha, Nguyen, Luo, Boka, Mai, Cat, Song, Lei, Wussah, Amos, Xiong, Sitian, Yao, Yao-Ting, Zhang, Qi, and Estes, Lyndon D.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
The accuracy of mapping agricultural fields across large areas is steadily improving with high-resolution satellite imagery and deep learning (DL) models, even in regions where fields are small and geometrically irregular. However, developing effective DL models often requires large, expensive label datasets, typically available only for specific years or locations. This limits the ability to create annual maps essential for agricultural monitoring, as domain shifts occur between years and regions due to changes in farming practices and environmental conditions. The challenge is to design a model flexible enough to account for these shifts without needing yearly labels. While domain adaptation techniques or semi-supervised training are common solutions, we explored enhancing the model's generalization power. Our results indicate that a holistic approach is essential, combining methods to improve generalization. Specifically, using an area-based loss function, such as Tversky-focal loss (TFL), significantly improved predictions across multiple years. The use of different augmentation techniques helped to encode different types of invariance, particularly photometric augmentations encoded invariance to brightness changes, though they increased false positives. The combination of photometric augmentation, TFL loss, and MC-dropout produced the best results, although dropout alone led to more false negatives in subsequent year predictions. Additionally, the choice of input normalization had a significant impact, with the best results obtained when statistics were calculated either locally or across the entire dataset over all bands (lab and gab). We developed a workflow that enabled a U-Net model to generate effective multi-year crop maps over large areas. Our code, available at: https://github.com/agroimpacts/cnn-generalization-enhancement, will be regularly updated with improvements.
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- 2024
15. Maximal Ideals in Functions Rings with a Countable Pointfree Image
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Abedi, Mostafa
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Mathematics - Functional Analysis ,Mathematics - Rings and Algebras ,Primary 06D22, Secondary 54C30, 13A15, 54C40, 06B10 - Abstract
Consider the subring $\mathcal{R}_cL$ of continuous real-valued functions defined on a frame $L$, comprising functions with a countable pointfree image. We present some useful properties of $\mathcal{R}_cL$. We establish that both $\mathcal{R}_cL$ and its bounded part, $\mathcal{R}_c^*L$, are clean rings for any frame $L$. We show that, for any completely regular frame $L$, the $z_c$-ideals of $\mathcal{R}_cL$ are contractions of the $z$-ideals of $\mathcal{R}L$. This leads to the conclusion that maximal ideals (or prime $z_c$-ideals) of $\mathcal{R}_cL$ correspond precisely to the contractions of those of $\mathcal{R}L$. We introduce the ${\bf O}_c$- and ${\bf M}_c$-ideals of $\mathcal{R}_cL$. By using ${\bf M}_c$-ideals, we characterize the maximal ideals of $\mathcal{R}_cL$, drawing an analogy with the Gelfand-Kolmogoroff theorem for the maximal ideals of $C_c(X)$. We demonstrate that fixed maximal ideals of $\mathcal{R}_cL$ have a one-to-one correspondence with the points of $L$ in the case where $L$ is a zero-dimensional frame. We describe the maximal ideals of $\mathcal{R}_c^*L$, leading to a one-to-one correspondence between these ideals and the points of $\beta L$, the Stone-\v{C}ech compactification of $L$, when $L$ is a strongly zero-dimensional frame. Finally, we establish that $\beta_0L$, the Banaschewski compactification of a zero-dimensional $L$, is isomorphic to the frames of the structure spaces of $\mathcal{R}_cL$, $\mathcal{R}_c(\beta_0L)$, and $\mathcal{R}(\beta_0L)$.
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- 2024
16. Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
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Tshimula, Jean Marie, Kalengayi, Mitterrand, Makenga, Dieumerci, Lilonge, Dorcas, Asumani, Marius, Madiya, Déborah, Kalonji, Élie Nkuba, Kanda, Hugues, Galekwa, René Manassé, Kumbu, Josias, Mikese, Hardy, Tshimula, Grace, Muabila, Jean Tshibangu, Mayemba, Christian N., Nkashama, D'Jeff K., Kalala, Kalonji, Ataky, Steve, Basele, Tighana Wenge, Didier, Mbuyi Mukendi, Kasereka, Selain K., Dialufuma, Maximilien V., Kumwita, Godwill Ilunga Wa, Muyuku, Lionel, Kimpesa, Jean-Paul, Muteba, Dominique, Abedi, Aaron Aruna, Ntobo, Lambert Mukendi, Bundutidi, Gloria M., Mashinda, Désiré Kulimba, Mpinga, Emmanuel Kabengele, and Kasoro, Nathanaël M.
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Computer Science - Machine Learning ,Computer Science - Computation and Language - Abstract
Artificial Intelligence (AI) is revolutionizing various fields, including public health surveillance. In Africa, where health systems frequently encounter challenges such as limited resources, inadequate infrastructure, failed health information systems and a shortage of skilled health professionals, AI offers a transformative opportunity. This paper investigates the applications of AI in public health surveillance across the continent, presenting successful case studies and examining the benefits, opportunities, and challenges of implementing AI technologies in African healthcare settings. Our paper highlights AI's potential to enhance disease monitoring and health outcomes, and support effective public health interventions. The findings presented in the paper demonstrate that AI can significantly improve the accuracy and timeliness of disease detection and prediction, optimize resource allocation, and facilitate targeted public health strategies. Additionally, our paper identified key barriers to the widespread adoption of AI in African public health systems and proposed actionable recommendations to overcome these challenges.
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- 2024
17. EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer
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Abedi, Ali, Wu, Q. M. Jonathan, Zhang, Ning, and Pourpanah, Farhad
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Unsupervised domain adaptation (UDA) aims to mitigate the domain shift issue, where the distribution of training (source) data differs from that of testing (target) data. Many models have been developed to tackle this problem, and recently vision transformers (ViTs) have shown promising results. However, the complexity and large number of trainable parameters of ViTs restrict their deployment in practical applications. This underscores the need for an efficient model that not only reduces trainable parameters but also allows for adjustable complexity based on specific needs while delivering comparable performance. To achieve this, in this paper we introduce an Efficient Unsupervised Domain Adaptation (EUDA) framework. EUDA employs the DINOv2, which is a self-supervised ViT, as a feature extractor followed by a simplified bottleneck of fully connected layers to refine features for enhanced domain adaptation. Additionally, EUDA employs the synergistic domain alignment loss (SDAL), which integrates cross-entropy (CE) and maximum mean discrepancy (MMD) losses, to balance adaptation by minimizing classification errors in the source domain while aligning the source and target domain distributions. The experimental results indicate the effectiveness of EUDA in producing comparable results as compared with other state-of-the-art methods in domain adaptation with significantly fewer trainable parameters, between 42% to 99.7% fewer. This showcases the ability to train the model in a resource-limited environment. The code of the model is available at: https://github.com/A-Abedi/EUDA., Comment: 12 pages, 4 figures
- Published
- 2024
18. Correlating Stroke Risk with Non-Invasive Tracing of Brain Blood Dynamic via a Portable Speckle Contrast Optical Spectroscopy Laser Device
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Huang, Yu Xi, Mahler, Simon, Abedi, Aidin, Tyszka, Julian Michael, Lo, Yu Tung, Lyden, Patrick D., Russin, Jonathan, Liu, Charles, and Yang, Changhuei
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Electrical Engineering and Systems Science - Image and Video Processing ,Electrical Engineering and Systems Science - Systems and Control ,Physics - Medical Physics - Abstract
Stroke poses a significant global health threat, with millions affected annually, leading to substantial morbidity and mortality. Current stroke risk assessment for the general population relies on markers such as demographics, blood tests, and comorbidities. A minimally invasive, clinically scalable, and cost-effective way to directly measure cerebral blood flow presents an opportunity. This opportunity has potential to positively impact effective stroke risk assessment prevention and intervention. Physiological changes in the cerebral vascular system, particularly in response to carbon dioxide level changes and oxygen deprivation, such as during breath-holding, can offer insights into stroke risk assessment. However, existing methods for measuring cerebral perfusion reserve, such as blood flow and blood volume changes, are limited by either invasiveness or impracticality. Here, we propose a transcranial approach using speckle contrast optical spectroscopy (SCOS) to non-invasively monitor regional changes in brain blood flow and volume during breath-holding. Our study, conducted on 50 individuals classified into two groups (low-risk and higher-risk for stroke), shows significant differences in blood dynamic changes during breath-holding between the two groups, providing physiological insights for stroke risk assessment using a non-invasive quantification paradigm. Given its cost-effectiveness, scalability, portability, and simplicity, this laser-centric tool has significant potential in enhancing the pre-screening of stroke and mitigating strokes in the general population through early diagnosis and intervention., Comment: 12 pages, 4 figures
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- 2024
19. Clinical Efficacy of Transurethral Resection of the Prostate Combined with Oral Anticholinergics or Botulinum Toxin – A Injection to Treat Benign Prostatic Hyperplasia with Overactive Bladder: A Case–Control Study
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Allameh F, Basiri A, Razzaghi M, Abedi A, Fallah-karkan M, Ghiasy S, Hosseininia SM, and Montazeri S
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anticholinergic drug ,benign prostatic hyperplasia ,botulinum toxin-a ,over active bladder ,solifenacin ,turp ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Farzad Allameh,1 Abbas Basiri,1 Mohammadreza Razzaghi,2 Amir reza Abedi,3 Morteza Fallah-karkan,2,3 Saleh Ghiasy,3 Seyyed Mohammad Hosseininia,3 Saeed Montazeri3 1Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 2Laser Application in Medical Sciences Research Center, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 3Department of Urology, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, IranCorrespondence: Saeed MontazeriUrology Resident, Shohada E Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, IranTel +98 21 22749221Email saeed.montazeri89@gmail.comIntroduction: Recent investigations showed that anticholinergic drugs could use for the management of storage symptoms after transurethral resection of the prostate (TURP). The use of intravesical botulinum toxin-A (BTX-A) for the management of overactive bladder is rapidly increasing. In this research, we assess the efficacy of BTX-A vs solifenacin in men suffering from bladder outlet obstruction–over active bladder (BOO-OAB) managed with TURP.Methods: In this case–control study, 50 men with BOO-OAB randomized into two groups. The control group (A) underwent TURP and subsequently managed by solifenacin 5 mg daily, and the case group (B) underwent TURP and BTX-A injection in the bladder wall in the same session. Treatment success was the primary outcome and defined as post-injection improvement in the storage score of the International Prostate Symptom Score (IPSS) from baseline.Results: The IPSS, post-void residual volume, frequency, incomplete emptying, nocturia and urgency subscores considerably ameliorated after 12 weeks and 36 weeks for both groups, but it was more significant in the case arm. The quality of life (QoL) scores significantly improved after the treatments in both groups. Intervention group showed significant reductions regarding urgency incontinence compared with the solifenacin group at 12th and 36th weeks.Conclusion: BTX-A is an effective and well-tolerated treatment in patients with benign prostatic hyperplasia (BPH) who are candidates of TURP and simultaneously suffer from OAB symptoms.Keywords: anticholinergic drug, benign prostatic hyperplasia, botulinum toxin-A, over active bladder, solifenacin, TURP
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- 2020
20. The Management of Patients Diagnosed with Incidental Prostate Cancer: Narrative Review
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Abedi AR, Ghiasy S, Fallah-karkan M, Rahavian A, and Allameh F
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incidental prostate cancer ,prostate cancer ,transurethral resection of the prostate (turp) ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Amir Reza Abedi,1 Saleh Ghiasy,1 Morteza Fallah-karkan,1,2 Amirhossein Rahavian,1,3 Farzad Allameh1,2 1Urology Department, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 2Center of Excellence for Training Laser Applications in Medicine, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Ministry of Health, Tehran, Iran; 3Infertility and Reproductive Health Research Center (irhrc), Shahid Beheshti Medical Science University, Tehran, IranCorrespondence: Farzad AllamehDepartment of Urology, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, IranTel/Fax +98 2122736386Email farzadallame@gmail.comAbstract: 5– 14% of patients underwent surgery for benign prostate hyperplasia harboring prostate cancer (PCa) focus. The best management of incidental prostate cancer (iPCa) has been debated. The decision “treatment or no treatment” should be determined by predictors which accurately foretell PCa progression after transurethral resection of the prostate (TURP). The purpose of this study is to review the available data that can be useful in daily clinical judgment. Transrectal ultrasound prostate biopsy (TRUSBx) did not provide further Gleason score (GS) data in most patients diagnosed with iPCa. TRUSBX may be useful before active surveillance, but not in all following radical prostatectomy. The decision “treatment or no treatment” should be dependent on the expected chance of having residual cancer and clinical progression. Prostate-specific antigen (PSA) levels before and after TURP are good predictors of residual cancer after TURP. Pathological report of T0 is most likely seen in patients with low PSA density after TURP and indistinguishable lesion on multiparametric magnetic resonance imaging. The decision “treatment vs no treatment” is judged by life expectancy, tumor characteristic in the pathology report of TURP sample and PSA level following TURP. Active surveillance should be contemplated in patients with iPCa who have both prostate-specific antigen density ≤ 0.08 after TURP and indistinguishable cancer lesion on multiparametric magnetic resonance imaging. Patients who do not meet the criteria for active surveillance are candidates for radical prostatectomy or radiotherapy (RT). Radical prostatectomy could be peacefully done after TURP with somewhat greater morbidity. RT in patients who had a history of TURP could be safely done and is associated with acceptable quality of life.Keywords: incidental prostate cancer, prostate cancer, transurethral resection of the prostate, TURP
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- 2020
21. Comparison of Support-promotional services and ethics of farmers factors toward the producing organic products in northwest of Iran
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Abdi, Sakineh, Abedi, Roya, and Abedi, Tooba
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- 2024
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22. Phase I Study of Intravitreal Injection of Autologous CD34+ Stem Cells from Bone Marrow in Eyes with Vision Loss from Retinitis Pigmentosa.
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Park, Susanna, Bauer, Gerhard, Fury, Brian, Abedi, Mehrdad, Perotti, Nicholas, Colead-Bergum, Dane, and Nolta, Jan
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Bone marrow stem cells ,CD34+ cells ,Intravitreal stem cell therapy ,Retinal degeneration ,Retinitis pigmentosa - Abstract
PURPOSE: To evaluate the feasibility and safety of intravitreal injection of autologous CD34+ stem cells from bone marrow (BMSCs) in eyes with vision loss from retinitis pigmentosa (RP). DESIGN: Phase I prospective, open-label, single-center study. PARTICIPANTS: Seven eyes (7 patients) with RP with best-corrected visual acuity (BCVA) of 20/60 to 20/400 or visual field constriction to within 10°. METHODS: A comprehensive examination with ETDRS BCVA, macular OCT, perimetry, and fluorescein angiography was performed at baseline, 1 to 3 months, and 6 months after study treatment. Bone marrow aspiration, isolation of CD34+ BMSCs under good manufacturing practice conditions, and intravitreal cell injection were performed on the same day. The CD34+ cells were isolated from bone marrow using a Ficoll gradient and the Miltenyi CliniMACS system. Isolated CD34+ cells were released for clinical use if viability, sterility, and purity met the release criteria accepted by the United States Food and Drug Administration for this clinical study. MAIN OUTCOME MEASURES: Number of CD34+ cells isolated for injection and adverse events associated with study treatment during follow-up. Secondary outcome measures are changes in BCVA and perimetry. RESULTS: All isolated CD34+ cells passed the release criteria. A mean of 3.26 ± 0.66 million viable CD34+ cells (range 1.6 to 7.05 million) were injected intravitreally per eye. No adverse event was noted during the study follow-up except for 1 participant who was noted with transient cells in the anterior chamber with mild elevation in intraocular pressure at 18 hours after study injection which normalized by 24 hours. Best-corrected visual acuity remained within 2 lines of baseline or improved in all participants at 6 months follow-up. Perimetry was stable or improved in all eyes during study follow-up except 1 eye with transient improvement at 1 month and worsening of both eyes at 6 months. CONCLUSIONS: Intravitreal injection of autologous CD34+ BMSCs is feasible and appears to be well tolerated in eyes with vision loss from RP. A larger randomized prospective study would be needed to evaluate further the safety and potential efficacy of this cell therapy for vision loss associated with RP. FINANCIAL DISCLOSURES: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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- 2025
23. 'We [Teachers] First Require Basic Technical [Skills] Training': Investigating Formal Professional Development Pathways and Knowledge Needs of Teachers for Technology Integration
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Emmanuel Ayisi Abedi
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Internationally and in Ghana, formal professional development is cited in many education policies as a focal lever for transforming pedagogy and engaging students in cognitively demanding learning processes with digital technologies. Yet, this expectation for technology integration has proven difficult to achieve for many teachers, often due to the nature of technology professional development programs, which in Ghana, have received limited research attention. In response, this qualitative study, based on interviews with 20 teachers, five education officials, and five headteachers, investigated formal technology professional development opportunities in Ghana, including teachers' knowledge needs and preferred training subject. Thematic analysis revealed the existence of professional learning communities, district-private partnership workshops, curriculum reform workshops, and cluster-based professional development programs. These in-service training avenues all prioritise equipping teachers with basic technical skills to use technologies as productivity tools. Teachers strongly prefer these skill sets, considering them prerequisites for supporting routine teacher-centred teaching tasks. Findings reveal that most professional development programs and teachers tend to overlook pedagogical transformation and innovation aspects of integrating technology. The study argues that technology professional development should shift from emphasising isolated technical skills training to equally prioritising pedagogical knowledge development for teachers to effectively facilitate student-centred learning and teaching with digital technologies.
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- 2024
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24. Resilience-by-Design in 6G Networks: Literature Review and Novel Enabling Concepts
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Khaloopour, Ladan, Su, Yanpeng, Raskob, Florian, Meuser, Tobias, Bless, Roland, Janzen, Leon, Abedi, Kamyar, Andjelkovic, Marko, Chaari, Hekma, Chakraborty, Pousali, Kreutzer, Michael, Hollick, Matthias, Strufe, Thorsten, Franchi, Norman, and Jamali, Vahid
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Computer Science - Networking and Internet Architecture - Abstract
The sixth generation (6G) mobile communication networks are expected to intelligently integrate into various aspects of modern digital society, including smart cities, homes, health-care, transportation, and factories. While offering a multitude of services, it is likely that societies become increasingly reliant on 6G infrastructure. Any disruption to these digital services, whether due to human or technical failures, natural disasters, or terrorism, would significantly impact citizens' daily lives. Hence, 6G networks need not only to provide high-performance services but also to be resilient in maintaining essential services in the face of potentially unknown challenges. This paper provides a general review of the state of the art on resilient systems, definitions, concepts, and approaches. Moreover, it introduces a comprehensive concept, i.e., resilience-by-design (RBD), in three different levels for designing resilient 6G communication networks, summarizing our initial studies within the German Open6GHub project. First, we outline the general RBD enabling principles and discuss their related sub-categories. Next, adopting an interdisciplinary approach, we propose to embed these principles across all 6G layers/perspectives including electronics, physical channel, network components and functions, networks, services, and cross-layer and cross-infrastructure considerations and discuss their challenges. We further elaborate the RBD principles and their realizations along with several 6G use-cases. The paper is concluded by presenting a comprehensive list of open problems for future research on 6G resilience.
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- 2024
25. Radio Resource Management and Path Planning in Intelligent Transportation Systems via Reinforcement Learning for Environmental Sustainability
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Norouzi, S., Azarasa, N., Abedi, M. R., Mokari, N., Seyedabrishami, S. E., Saeedi, H., and Jorswieck, E. A.
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Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Machine Learning - Abstract
Efficient and dynamic path planning has become an important topic for urban areas with larger density of connected vehicles (CV) which results in reduction of travel time and directly contributes to environmental sustainability through reducing energy consumption. CVs exploit the cellular wireless vehicle-to-everything (C-V2X) communication technology to disseminate the vehicle-to-infrastructure (V2I) messages to the Base-station (BS) to improve situation awareness on urban roads. In this paper, we investigate radio resource management (RRM) in such a framework to minimize the age of information (AoI) so as to enhance path planning results. We use the fact that V2I messages with lower AoI value result in less error in estimating the road capacity and more accurate path planning. Through simulations, we compare road travel times and volume over capacity (V/C) against different levels of AoI and demonstrate the promising performance of the proposed framework., Comment: 6 pages, 5 figures, accepted and presented in International Conference on Innovation and Technological Advances for Sustainability
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- 2024
26. Extensions of the Hilbert-multi-norm in Hilbert $C^*$-modules
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Abedi, Sajjad and Moslehian, Mohammad Sal
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Mathematics - Functional Analysis ,Mathematics - Operator Algebras ,46L05, 46B15, 47L10 - Abstract
Dales and Polyakov introduced a multi-norm $\left( \left\|\cdot\right\|_n^{(2,2)}:n\in\mathbb{N}\right)$ based on a Banach space $\mathscr{X}$ and showed that it is equal with the Hilbert-multi-norm $\left( \left\|\cdot\right\|_n^{\mathscr{H}}:n\in\mathbb{N}\right)$ based on an infinite-dimensional Hilbert space $\mathscr{H}$. We enrich the theory and present three extensions of the Hilbert-multi-norm for a Hilbert $C^*$-module $\mathscr{X}$. We denote these multi-norms by $\left( \left\|\cdot\right\|_n^{\mathscr{X}}:n\in\mathbb{N}\right)$, $\left( \left\|\cdot\right\|_n^{*}:n\in\mathbb{N}\right)$, and $\left( \left\|\cdot\right\|_n^{\mathcal{P}\left(\mathfrak{A} \right) }:n\in\mathbb{N}\right)$. We show that $\left\|x\right\|_n^{\mathcal{P}\left(\mathfrak{A} \right) }\geq\left\|x\right\|_n^{\mathscr{X}}\leq \left\|x\right\|_n^{*}$ for each $x\in\mathscr{X}^n$. In the case when $\mathscr{X}$ is a Hilbert $\mathbb{K}\left(\mathscr{H}\right)$-module, for each $x\in\mathscr{X}^n$, we observe that $\left\|\cdot\right\|_n^{\mathcal{P}\left(\mathfrak{A} \right)}=\left\|\cdot\right\|_n^{\mathscr{X}}$. Furthermore, if $\mathscr{H}$ is separable and $\mathscr{X}$ is infinite-dimensional, we prove that $\left\|x\right\|_n^{\mathscr{X}}=\left\|x\right\|_n^{*}$. Among other things, we show that small and orthogonal decompositions with respect to these multi-norms are equivalent. Several examples are given to support the new findings., Comment: 16 pages, Accepted by Positivity
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- 2024
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27. A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs
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Mayemba, Christian N., Nkashama, D'Jeff K., Tshimula, Jean Marie, Dialufuma, Maximilien V., Muabila, Jean Tshibangu, Didier, Mbuyi Mukendi, Kanda, Hugues, Galekwa, René Manassé, Fita, Heber Dibwe, Mundele, Serge, Kalala, Kalonji, Ilunga, Aristarque, Ntobo, Lambert Mukendi, Muteba, Dominique, and Abedi, Aaron Aruna
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Computer Science - Machine Learning ,Computer Science - Computation and Language - Abstract
This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns during epidemics. Understanding how people move during epidemics is essential for modeling the spread of diseases and devising effective response strategies. Forecasting population movement is crucial for informing epidemiological models and facilitating effective response planning in public health emergencies. Predicting mobility patterns can enable authorities to better anticipate the geographical and temporal spread of diseases, allocate resources more efficiently, and implement targeted interventions. We review a range of approaches utilizing both pretrained language models like BERT and Large Language Models (LLMs) tailored specifically for mobility prediction tasks. These models have demonstrated significant potential in capturing complex spatio-temporal dependencies and contextual patterns in textual data.
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- 2024
28. Ensemble Deep Learning for enhanced seismic data reconstruction
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Abedi, Mohammad Mahdi, Pardo, David, and Alkhalifah, Tariq
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Physics - Geophysics - Abstract
Seismic data often contain gaps due to various obstacles in the investigated area and recording instrument failures. Deep learning techniques offer promising solutions for reconstructing missing data parts by leveraging existing information. However, self-supervised methods frequently struggle with capturing under-represented features such as weaker events, crossing dips, and higher frequencies. To address these challenges, we propose a novel ensemble deep model along with a tailored self-supervised training approach for reconstructing seismic data with consecutive missing traces. Our model comprises two branches of U-nets, each fed from distinct data transformation modules aimed at amplifying under-represented features and promoting diversity among learners. Our loss function minimizes relative errors at the outputs of individual branches and the entire model, ensuring accurate reconstruction of various features while maintaining overall data integrity. Additionally, we employ masking while training to enhance sample diversity and memory efficiency. Application on two benchmark synthetic datasets and two real datasets demonstrates improved accuracy compared to a conventional U-net, successfully reconstructing weak events, diffractions, higher frequencies, and reflections obscured by groundroll. However, our method requires a threefold of training time compared to a simple U-net. An implementation of our method with TensorFlow is also made available.
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- 2024
29. Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks
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Abedi, Ali and Khan, Shehroz S.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Engagement in virtual learning is crucial for a variety of factors including student satisfaction, performance, and compliance with learning programs, but measuring it is a challenging task. There is therefore considerable interest in utilizing artificial intelligence and affective computing to measure engagement in natural settings as well as on a large scale. This paper introduces a novel, privacy-preserving method for engagement measurement from videos. It uses facial landmarks, which carry no personally identifiable information, extracted from videos via the MediaPipe deep learning solution. The extracted facial landmarks are fed to Spatial-Temporal Graph Convolutional Networks (ST-GCNs) to output the engagement level of the student in the video. To integrate the ordinal nature of the engagement variable into the training process, ST-GCNs undergo training in a novel ordinal learning framework based on transfer learning. Experimental results on two video student engagement measurement datasets show the superiority of the proposed method compared to previous methods with improved state-of-the-art on the EngageNet dataset with a 3.1% improvement in four-class engagement level classification accuracy and on the Online Student Engagement dataset with a 1.5% improvement in binary engagement classification accuracy. Gradient-weighted Class Activation Mapping (Grad-CAM) was applied to the developed ST-GCNs to interpret the engagement measurements obtained by the proposed method in both the spatial and temporal domains. The relatively lightweight and fast ST-GCN and its integration with the real-time MediaPipe make the proposed approach capable of being deployed on virtual learning platforms and measuring engagement in real-time.
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- 2024
30. Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
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Karlov, Mark, Abedi, Ali, and Khan, Shehroz S.
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Computers and Society - Abstract
Exercise-based rehabilitation programs have proven to be effective in enhancing the quality of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilitation, which allows patients to independently complete exercises at home, utilizes AI algorithms to analyze exercise data, providing feedback to patients and updating clinicians on their progress. These programs commonly prescribe a variety of exercise types, leading to a distinct challenge in rehabilitation exercise assessment datasets: while abundant in overall training samples, these datasets often have a limited number of samples for each individual exercise type. This disparity hampers the ability of existing approaches to train generalizable models with such a small sample size per exercise type. Addressing this issue, this paper introduces a novel supervised contrastive learning framework with hard and soft negative samples that effectively utilizes the entire dataset to train a single model applicable to all exercise types. This model, with a Spatial-Temporal Graph Convolutional Network (ST-GCN) architecture, demonstrated enhanced generalizability across exercises and a decrease in overall complexity. Through extensive experiments on three publicly available rehabilitation exercise assessment datasets, UI-PRMD, IRDS, and KIMORE, our method has proven to surpass existing methods, setting a new benchmark in rehabilitation exercise quality assessment., Comment: 23 pages, 4 figures, 5 tables
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- 2024
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31. Antibody-displaying extracellular vesicles for targeted cancer therapy
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Wiklander, Oscar P. B., Mamand, Doste R., Mohammad, Dara K., Zheng, Wenyi, Jawad Wiklander, Rim, Sych, Taras, Zickler, Antje M., Liang, Xiuming, Sharma, Heena, Lavado, Andrea, Bost, Jeremy, Roudi, Samantha, Corso, Giulia, Lennaárd, Angus J., Abedi-Valugerdi, Manuchehr, Mäger, Imre, Alici, Evren, Sezgin, Erdinc, Nordin, Joel Z., Gupta, Dhanu, Görgens, André, and EL Andaloussi, Samir
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- 2024
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32. Understanding Starch Gelatinization, Thermodynamic Properties, and Rheology Modeling of Tapioca Starch–Polyol Blends Under Pre- and Post-ultrasonication
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Abedi, Elahe, Altemimi, Ammar B., Roohi, Reza, and Hashemi, Seyed Mohammad Bagher
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- 2024
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33. Enhanced Sensitivity in Dual-Core Photonic Crystal Fiber Plasmonic Biosensor
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Heidari, Meysam, Mozaffari, Mohammad Hazhir, and Abedi, Kambiz
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- 2024
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34. Comprehensive Review on Polyvinyl Alcohol-Based Electrospun Nanofibers for Food Packaging: Applications, Developments, and Future Horizon
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Tavassoli, Milad, Bahramian, Behnam, Abedi-Firoozjah, Reza, Jafari, Nasim, Javdani, Hamed, Sadeghi, Sadaf Mohajjel, Hadavifar, Sepideh, Majnouni, Sahar, Ehsani, Ali, and Roy, Swarup
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- 2024
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35. Peritumoral tissue (PTT): increasing need for naming convention
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Koca, Dzenis, Abedi-Ardekani, Behnoush, LeMaoult, Joel, and Guyon, Laurent
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- 2024
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36. Recent Advances in Applications of Aptasensors/Nanomaterials Platform for Food and Biomedical: a Review
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Abedi-Firouzjah, Reza, Tavassoli, Milad, Khezerlou, Arezou, Mazaheri, Yeganeh, Alizadeh-Sani, Mahmoud, Ehsani, Ali, and Moore, Matthew D.
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- 2024
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37. Quinindoline-Based Hybrid Compounds as New Inhibitors of Acetylcholinesterase: An In Vitro and Molecular Dynamics Simulations Study
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Abedi, A., Pordel, M., Bozorgmehr, M. R., and Izanloo, C.
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- 2024
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38. Effect of Rootstock and Fruit Harvest Date on Quantitative, Qualitative and Storage Attributes of ‘Golden Delicious’ Apple
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Nazari Gholjogh, Reza, Selahvarzi, Yahya, Abedi, Bahram, Sayyad-Amin, Pegah, and Rastegar, Somayeh
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- 2024
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39. Transformative approaches to chronic mood disorders: a comparative evaluation of cognitive-behavioral therapy and allegorical schema modes
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Ganji, Mohammad Faghanpour, Kalantari, Mehrdad, and Abedi, Ahmad
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- 2024
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40. General characteristics of orbital metastasis in breast cancer: a narrative review of case reports
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Zarei, Tahereh, Hosseini-Bensenjan, Mahnaz, Haghpanah, Sezaneh, Abedi, Elham, Parand, Shirin, and Ramzi, Mani
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- 2024
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41. Incorporating AI in foreign language education: An investigation into ChatGPT’s effect on foreign language learners
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Karataş, Fatih, Abedi, Faramarz Yaşar, Ozek Gunyel, Filiz, Karadeniz, Derya, and Kuzgun, Yasemin
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- 2024
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42. Aflatoxin Biodetoxification Strategies Based on Postbiotics
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Khani, Nader, Noorkhajavi, Ghasem, Soleiman, Roya Abedi, Raziabad, Reza Hazrati, Rad, Aziz Homayouni, and Akhlaghi, Amir Pouya
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- 2024
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43. Analyzing the Effects of Transcutaneous Electrical Nerve Stimulation on Individuals with Restless Legs Syndrome
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Abedi, Ali, Miri, Kheizaran, Nik, Mehdi Jamali, Eidi, Fereshte, Dastband, Zohra, and Namazinia, Mohammad
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- 2024
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44. Nested CNN architecture for three-dimensional dose distribution prediction in tomotherapy for prostate cancer
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Zamanian, Maryam, Irannejad, Maziar, Abedi, Iraj, Saeb, Mohsen, and Roayaei, Mahnaz
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- 2024
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45. Computational design of non-porous pH-responsive antibody nanoparticles
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Yang, Erin C., Divine, Robby, Miranda, Marcos C., Borst, Andrew J., Sheffler, Will, Zhang, Jason Z., Decarreau, Justin, Saragovi, Amijai, Abedi, Mohamad, Goldbach, Nicolas, Ahlrichs, Maggie, Dobbins, Craig, Hand, Alexis, Cheng, Suna, Lamb, Mila, Levine, Paul M., Chan, Sidney, Skotheim, Rebecca, Fallas, Jorge, Ueda, George, Lubner, Joshua, Somiya, Masaharu, Khmelinskaia, Alena, King, Neil P., and Baker, David
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- 2024
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46. Retention of the N-nitrosodiethanolamine by hydrophilic interaction liquid chromatography on different polar columns: mechanism study and optimization
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Abedi, Ghazaleh, Talebpour, Zahra, and Hosseiny, Arezu
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- 2024
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47. Vulnerability of mineral-associated soil organic carbon to climate across global drylands
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Díaz-Martínez, Paloma, Maestre, Fernando T., Moreno-Jiménez, Eduardo, Delgado-Baquerizo, Manuel, Eldridge, David J., Saiz, Hugo, Gross, Nicolas, Le Bagousse-Pinguet, Yoann, Gozalo, Beatriz, Ochoa, Victoria, Guirado, Emilio, García-Gómez, Miguel, Valencia, Enrique, Asensio, Sergio, Berdugo, Miguel, Martínez-Valderrama, Jaime, Mendoza, Betty J., García-Gil, Juan C., Zaccone, Claudio, Panettieri, Marco, García-Palacios, Pablo, Fan, Wei, Benavente-Ferraces, Iria, Rey, Ana, Eisenhauer, Nico, Cesarz, Simone, Abedi, Mehdi, Ahumada, Rodrigo J., Alcántara, Julio M., Amghar, Fateh, Aramayo, Valeria, Arroyo, Antonio I., Bahalkeh, Khadijeh, Ben Salem, Farah, Blaum, Niels, Boldgiv, Bazartseren, Bowker, Matthew A., Bran, Donaldo, Branquinho, Cristina, Bu, Chongfeng, Cáceres, Yonatan, Canessa, Rafaella, Castillo-Monroy, Andrea P., Castro, Ignacio, Castro-Quezada, Patricio, Chibani, Roukaya, Conceição, Abel A., Currier, Courtney M., Darrouzet-Nardi, Anthony, Deák, Balázs, Dickman, Christopher R., Donoso, David A., Dougill, Andrew J., Durán, Jorge, Ejtehadi, Hamid, Espinosa, Carlos, Fajardo, Alex, Farzam, Mohammad, Ferrante, Daniela, Fraser, Lauchlan H., Gaitán, Juan J., Gusman Montalván, Elizabeth, Hernández-Hernández, Rosa M., von Hessberg, Andreas, Hölzel, Norbert, Huber-Sannwald, Elisabeth, Hughes, Frederic M., Jadán-Maza, Oswaldo, Geissler, Katja, Jentsch, Anke, Ju, Mengchen, Kaseke, Kudzai F., Kindermann, Liana, Koopman, Jessica E., Le Roux, Peter C., Liancourt, Pierre, Linstädter, Anja, Liu, Jushan, Louw, Michelle A., Maggs-Kölling, Gillian, Makhalanyane, Thulani P., Issa, Oumarou Malam, Marais, Eugene, Margerie, Pierre, Mazaneda, Antonio J., McClaran, Mitchel P., Messeder, João Vitor S., Mora, Juan P., Moreno, Gerardo, Munson, Seth M., Nunes, Alice, Oliva, Gabriel, Oñatibia, Gastón R., Osborne, Brooke, Peter, Guadalupe, Pueyo, Yolanda, Quiroga, R. Emiliano, Reed, Sasha C., Reyes, Victor M., Rodríguez, Alexandra, Ruppert, Jan C., Sala, Osvaldo, Salah, Ayman, Sebei, Julius, Sloan, Michael, Solongo, Shijirbaatar, Stavi, Ilan, Stephens, Colton R. A., Teixido, Alberto L., Thomas, Andrew D., Throop, Heather L., Tielbörger, Katja, Travers, Samantha, Val, James, Valko, Orsolya, van den Brink, Liesbeth, Velbert, Frederike, Wamiti, Wanyoike, Wang, Deli, Wang, Lixin, Wardle, Glenda M., Yahdjian, Laura, Zaady, Eli, Zeberio, Juan M., Zhang, Yuanming, Zhou, Xiaobing, and Plaza, César
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- 2024
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48. Enhanced drought and salt tolerance of Arabidopsis thaliana by ectopic expression of the molecular chaperone artemin from Artemia urmiana
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Poormohammad, Zeinab, Shahrokhi, Sara, Abedi, Amin, Sajedi, Reza H., and Sohani, M. Mehdi
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- 2024
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49. Comprehensive assessment of TECENTRIQ® and OPDIVO®: analyzing immunotherapy indications withdrawn in triple-negative breast cancer and hepatocellular carcinoma
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Roozitalab, Ghazaal, Abedi, Behnaz, Imani, Saber, Farghadani, Reyhaneh, and Jabbarzadeh Kaboli, Parham
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- 2024
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50. Incidental prostate cancer: a 10-year review of a tertiary center, Tehran, Iran
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Abedi AR, Fallah-Karkan M, Allameh F, Ranjbar A, and Shadmehr A
- Subjects
Incidental prostate cancer ,transurethral resection of the prostate ,open prostatectomy ,Prostate Cancer ,Iran ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Amir-reza Abedi,1 Morteza Fallah-Karkan,2 Farzad Allameh,1 Arash Ranjbar,1 Afshin Shadmehr3 1Urology Department, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 2Urology Department, Shohada-e-Tajrish Hospital, Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 3Urology Department, Isfahan University of Medical Sciences, Isfahan, Iran Objective: Incidental prostate cancer (IPCa) is defined as a symptom-free cancer unexpectedly discovered upon microscopic examination of resected tissue. The aim of this study was to report the correlation between some specific clinical criteria in patients incidentally diagnosed with prostate cancer (PCa) during transurethral resection of the prostate (TURP) or open prostatectomy (OP) after clinically suspected benign prostatic hyperplasia.Patients and methods: This was a cross-sectional, retrospective study. Data were collected from Shohada-e-Tajrish Hospital database during November 2006 to October 2016. Four hundred and twenty three men suffering from symptomatic benign prostatic hyperplasia who underwent either TURP or OP that provided a prostate specimen were evaluated. The data analysis was performed using Pearson correlation test and independent t-test using SPSS version 20 software.Results: The mean age of subjects was 68.74±9.87 years old (45–93 years). The mean prostate specific antigen (PSA) level was 21.47±13.44 ng/mL (0.6–47.1 ng/mL). Results showed that 84 patients (19.9%) had PCa (40 patients who underwent TURP [12.6%] and 44 patients who underwent OP [40.7%] groups). Cut-off point of PSA for detecting IPCa was 3.8 ng/mL in our study, and this showed sensitivity, specificity, negative predictive value, and positive predictive value of 26.08%, 100%, 100%, and 29.79%, respectively. Twenty two patients with cancer had a positive family history for PCa; thus, a significant relationship between familial history of PCa and its occurrence was shown (p=0.0001).Conclusion: According to the results of this study, the cut-off point for PSA levels in detecting PCa was 3.8 ng/mL, which is similar to that reported by other studies. Familial history of PCa and PSA levels were two predictors in determining the PCa. Keywords: incidental prostate cancer, transurethral resection of the prostate, open prostatectomy, prostate cancer, Iran
- Published
- 2018
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