Výsledky vyhledávání - "Hossein Naseri"

Akademický článek

Re-Examining the Role of Implicit Implications in Jurisprudential Inference

Autor: Morteza Nowrozi, Abbas Ali Soltani, Hossein Naseri

Publikováno v: مطالعات فقه اسلامی و مبانی حقوق, Vol 17, Iss 48, Pp 175-202 (2024)

The inference of jurisprudential rules is directly related to the way their evidence is implied. Among the indications, “implicit implication” is very important considering that it has many types. The upcoming research is trying to answer the bas

Externí odkaz: https://doaj.org/article/d51cff1b49ca49e6980a099b005057f4

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Akademický článek

The Role of the Urartian Epigraphy: Argišti I’s Newly Found Disc in Varzaqan

Autor: مریم Dara, Hossein Naseri Someeh

Publikováno v: Gephyra, Vol 25, Pp 119-137 (2023)

Urartians ruled over the regions mainly around three lakes of Van, Sevan and Urmia from about 9th to 7th centuries BC and several metal artefacts are discovered less in situ in the Urartian sites. Among them are bronze discs which are slightly convex

Externí odkaz: https://doaj.org/article/5e734d55754c4dc8b0a517a3a0659a56

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Akademický článek

Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest

Autor: Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Haley Patrick, Aixa X. Andrade Hernandez, Marc David, John Kildea

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)

Abstract Radiomics-based machine learning classifiers have shown potential for detecting bone metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current radiomics models require large datasets of images with expert-segmente

Externí odkaz: https://doaj.org/article/c2cbb7edd16247248a9108df335532c6

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Akademický článek

A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

Autor: Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea

Publikováno v: JMIR AI, Vol 2, p e44779 (2023)

BackgroundThe identification of objective pain biomarkers can contribute to an improved understanding of pain, as well as its prognosis and better management. Hence, it has the potential to improve the quality of life of patients with cancer. Artific

Externí odkaz: https://doaj.org/article/394fac4e6fd945bea2b2474772d667e6

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Akademický článek

Situation analysis for promotion of hot-lines: An experience from Iran

Autor: Shirin Djalalinia, Ahmad Hejabi, Jafar Bolhari, Ali Asadi, Hossein Naseri, Mahdi Mirmohammad Sadeghi, Mohammad Shams Mehrabadi, Masoumeh Dejman, Monir Eftekhari, Mehrdad Kazemzadeh Atoofi

Publikováno v: International Journal of Preventive Medicine, Vol 11, Iss 1, Pp 183-183 (2020)

Background: The hot line services were developed in response to the perceived need for 24-hour help services in crises ranging from suicide to unwanted pregnancy. This study is aimed at analyzing the strengths, weaknesses, challenges, and suggestions

Externí odkaz: https://doaj.org/article/e8339a2302114d36ba75b081b283bc3d

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Urartu Epigrafisinin Rolü: I. Argisti'nin Verzeqan Kentinde Bulunan Yeni Disk

Autor: مریم DARA, Hossein NASERİ SOMEEH

Publikováno v: Gephyra. 25:119-137

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7e9a9935828fc9e6eecf050b0219f38
https://doi.org/10.37095/gephyra.1259319

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Akademický článek

On the Border between Urartu and Mannea: Goyje Qalʽeh, an Iron Age Site in Northern Iran.

Autor: Someeh, Hossein Naseri¹ (AUTHOR), Mirzaei, Mohammad¹ (AUTHOR), Dan, Roberto¹ (AUTHOR), Vitolo, Priscilla¹ (AUTHOR)

Publikováno v: Iran & The Caucasus. 2021, Vol. 25 Issue 4, p321-333. 13p.

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Review of internet addiction and its relation with depression and anxiety

Autor: Faezeh Khanlari, Hossein Naseri

Publikováno v: International journal of health sciences. :373-381

This research investigates the relationship between Internet addiction and depression and anxiety. The method falls under review-descriptive categories, as it reviews the literature on Internet addiction over the last 15 years (from 2007 to July 2021

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4a3b7e995239ca22bfd514489219cdd6
https://doi.org/10.53730/ijhs.v6ns8.10271

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