Zobrazeno 1 - 10
of 3 590
pro vyhledávání: '"A Kazemnejad"'
Autor:
Kazemnejad, Amirhossein, Aghajohari, Milad, Portelance, Eva, Sordoni, Alessandro, Reddy, Siva, Courville, Aaron, Roux, Nicolas Le
Large language models (LLMs) are increasingly applied to complex reasoning tasks that require executing several complex steps before receiving any reward. Properly assigning credit to these steps is essential for enhancing model performance. Proximal
Externí odkaz:
http://arxiv.org/abs/2410.01679
Publikováno v:
مجله اپیدمیولوژی ایران, Vol 16, Iss 1, Pp 71-80 (2020)
Background and Objectives: Gestational diabetes mellitus (GDM) is a medical problem in pregnancy, and its late diagnosis can cause adverse effects in the mother and fetus. The purpose of this research was to estimate the accuracy parameters of a biom
Externí odkaz:
https://doaj.org/article/04136ec1aebc4c62be86a9f241abd8a3
Publikováno v:
نشریه پرستاری ایران, Vol 31, Iss 112, Pp 20-31 (2018)
Background & Aim: Professional identity is a form of social identity and an important outcome of nursing education programs. The formation of professional identity is the evolutionary process of maturity which begins before entering nursing and devel
Externí odkaz:
https://doaj.org/article/6d9954534c5944cfb2f027b3de81d9cd
Publikováno v:
مجله اپیدمیولوژی ایران, Vol 13, Iss 4, Pp 346-355 (2018)
Background and Objectives: Shift work could threaten health in the long term. The present research aimed to assess the association between shift work and body mass index (BMI) using the multilevel (hierarchical) model during a particular period of ti
Externí odkaz:
https://doaj.org/article/b83f823504a44bb89f2d4f6938f7c2bc
Publikováno v:
Journal of Rehabilitation, Vol 25, Iss 2, Pp 336-355 (2024)
Objective Postoperative rehabilitation protocols, such as immobilization and non-weight-bearing periods during the acute phase after anterior cruciate ligament (ACL) surgery vary depending on the surgeon or the institution and lack clear standardizat
Externí odkaz:
https://doaj.org/article/8c1820c8edb643e29d5c9bcaa9c06f6e
Autor:
Mahmoud Amiri Roudbar, Seyed Milad Vahedi, Jin Jin, Mina Jahangiri, Hossein Lanjanian, Danial Habibi, Sajedeh Masjoudi, Parisa Riahi, Sahand Tehrani Fateh, Farideh Neshati, Asiyeh Sadat Zahedi, Maryam Moazzam-Jazi, Leila Najd-Hassan-Bonab, Seyedeh Fatemeh Mousavi, Sara Asgarian, Maryam Zarkesh, Mohammad Reza Moghaddas, Albert Tenesa, Anoshirvan Kazemnejad, Hassan Vahidnezhad, Hakon Hakonarson, Fereidoun Azizi, Mehdi Hedayati, Maryam Sadat Daneshpour, Mahdi Akbarzadeh
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-12 (2024)
Abstract This study aims to assess the effect of familial structures on the still-missing heritability estimate and prediction accuracy of Type 2 Diabetes (T2D) using pedigree estimated risk values (ERV) and genomic ERV. We used 11,818 individuals (T
Externí odkaz:
https://doaj.org/article/d1778760f30742c2868c53ce140b1d16
In this paper, we study the total outer-connected domination number of the middle graph of a simple graph and we obtain tight bounds for this number in terms of the order of the middle graph. We also compute the total outer-connected domination numbe
Externí odkaz:
http://arxiv.org/abs/2308.02127
Publikováno v:
مجله اپیدمیولوژی ایران, Vol 10, Iss 4, Pp 69-77 (2015)
Background and Objectives : Previous studies have reported contradictory results regarding the association of Shift Work (SW) and Blood Cholesterol (BC). In this paper, we studied the relationship between SW and BC. Methods: The data of this historic
Externí odkaz:
https://doaj.org/article/c7144ec57e1d4907935b6e96aa97e140
Autor:
Kazemnejad, Amirhossein, Padhi, Inkit, Ramamurthy, Karthikeyan Natesan, Das, Payel, Reddy, Siva
Length generalization, the ability to generalize from small training context sizes to larger ones, is a critical challenge in the development of Transformer-based language models. Positional encoding (PE) has been identified as a major factor influen
Externí odkaz:
http://arxiv.org/abs/2305.19466
While pre-trained language models (PLMs) have shown evidence of acquiring vast amounts of knowledge, it remains unclear how much of this parametric knowledge is actually usable in performing downstream tasks. We propose a systematic framework to meas
Externí odkaz:
http://arxiv.org/abs/2305.14775