Výsledky vyhledávání

Akademický článek

Relationship of Spiritual Health and Religious Commitment with Anxiety and Depression in Patients with Coronary Heart Diseases Presenting to Fateme Zahra Hospital Clinic in Sari

Autor: Mohammad Mahdi Taleb, Rahmatollah Marzband, Abbas Alipour, Nazanin Gholami, Seyed Hamzeh Hosseini

Publikováno v: Journal of Mazandaran University of Medical Sciences, Vol 34, Iss 232, Pp 90-99 (2024)

Background and purpose: Anxiety and depression are determinants of the prognosis of coronary artery disease(CAD). Spiritual well-being and religious commitment affect people's mental well-being. Due to the limitations of previous similar studies in t

Externí odkaz: https://doaj.org/article/5e1dcd5df4cc410dafdedae85865eddd

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Akademický článek

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Dissertation/ Thesis

Narges sökande efter Sitare : En intersektionell analys av Fateme Behros roman I skuggan av Sitare

Autor: Kalid, Hivi

Uppsatsen undersöker Fateme Behros roman I skuggan av Sitare där syftet är att ta reda på hur etnicitet, genus och sexualitet samverkar samt om huvudpersonerna Narges och Sitare intar en över- eller underordnad position i relation till etni

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-211424

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Cosmological solutions in teleparallel $F(T,B)$ gravity

Autor: Gholami, Fateme, Landry, Alexandre

In this paper we find several teleparallel $F(T,B)$ solutions for a Robertson-Walker (TRW) cosmological spacetime. We first set and solve the $F(T,B)$-type field equations for a linear perfect fluid. Using similar techniques, we then find new $F(T,B)

Externí odkaz: http://arxiv.org/abs/2411.18455

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Challenges and Opportunities of Teaching Data Visualization Together with Data Science

Autor: Ramesh, Shri Harini, Rajabiyazdi, Fateme

With the increasing amount of data globally, analyzing and visualizing data are becoming essential skills across various professions. It is important to equip university students with these essential data skills. To learn, design, and develop data vi

Externí odkaz: http://arxiv.org/abs/2409.05969

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Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data

Autor: Ghaffarzadeh-Esfahani, Mohammadreza, Ghaffarzadeh-Esfahani, Mahdi, Salahi-Niri, Arian, Toreyhi, Hossein, Atf, Zahra, Mohsenzadeh-Kermani, Amirali, Sarikhani, Mahshad, Tajabadi, Zohreh, Shojaeian, Fatemeh, Bagheri, Mohammad Hassan, Feyzi, Aydin, Tarighatpayma, Mohammadamin, Gazmeh, Narges, Heydari, Fateme, Afshar, Hossein, Allahgholipour, Amirreza, Alimardani, Farid, Salehi, Ameneh, Asadimanesh, Naghmeh, Khalafi, Mohammad Amin, Shabanipour, Hadis, Moradi, Ali, Zadeh, Sajjad Hossein, Yazdani, Omid, Esbati, Romina, Maleki, Moozhan, Nasr, Danial Samiei, Soheili, Amirali, Majlesi, Hossein, Shahsavan, Saba, Soheilipour, Alireza, Goudarzi, Nooshin, Taherifard, Erfan, Hatamabadi, Hamidreza, Samaan, Jamil S, Savage, Thomas, Sakhuja, Ankit, Soroush, Ali, Nadkarni, Girish, Darazam, Ilad Alavi, Pourhoseingholi, Mohamad Amin, Safavi-Naini, Seyed Amir Ahmad

Background: This study aimed to evaluate and compare the performance of classical machine learning models (CMLs) and large language models (LLMs) in predicting mortality associated with COVID-19 by utilizing a high-dimensional tabular dataset. Materi

Externí odkaz: http://arxiv.org/abs/2409.02136

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Practical Challenges of Progressive Data Science in Healthcare

Autor: Roshan, Faisal Zaki, Ahuja, Abhishek, Rajabiyazdi, Fateme

The healthcare system collects extensive data, encompassing patient administrative information, clinical measurements, and home-monitored health metrics. To support informed decision-making in patient care and treatment management, it is essential to

Externí odkaz: http://arxiv.org/abs/2409.10537

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Quantization-free Lossy Image Compression Using Integer Matrix Factorization

Autor: Ashtari, Pooya, Behmandpoor, Pourya, Haredasht, Fateme Nateghi, Chen, Jonathan H., Patrinos, Panagiotis, Van Huffel, Sabine

Lossy image compression is essential for efficient transmission and storage. Traditional compression methods mainly rely on discrete cosine transform (DCT) or singular value decomposition (SVD), both of which represent image data in continuous domain

Externí odkaz: http://arxiv.org/abs/2408.12691

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Shadow behavior of an EMSG charged black hole

Autor: Aliyan, Fateme, Nozari, Kourosh

Publikováno v: Published in Physics of the Dark Universe 5 August 2024

Recent shadow images of Sgr A and M87 captured by Event Horizon Telescope (EHT) collaboration confirms the existence of black holes or their possible alternatives in the center of galaxies. On the other hand, the new image of Sgr A in polarized light

Externí odkaz: http://arxiv.org/abs/2408.08289

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