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Academic Articles & Research Papers
Showing 20 of 230 academic articles
Wei Liu, Yan Xu, Yi Wang, Lugui Qiu et al. • Journal for ImmunoTherapy of Cancer
(2024)
Background Over 50% of patients with relapsed or refractory large B-cell lymphoma (r/r LBCL) receiving CD19-targeted chimeric antigen receptor (CAR19) T-cell therapy fail to achieve durable remission. Early identification of relapse or prog...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/jitc-2023-008450
J. Craig Barker (2000)
The disciplines of international law and international relations are inextricably linked. Both are concerned with the activities of states and with predicting how states behave and on what basis.For the international lawyer, however, the ke...
OPENALEX
DOI: https://doi.org/10.5040/9781350933910
Krimsi Budi Sienatra, Metta Padmalia • Jurnal Ilmiah Bisnis dan Ekonomi Asia
(2018)
This study aims to look at the early stages of the birth of a business or at the stage of conception and preparation. Specifically, the purpose of this study is to develop and test empirically the determinants of entrepreneurial intentions ...
DOAJ
Open Access (DOAJ)
DOI: 10.32812/jibeka.v12i1.12
Kei Ito, Akira Endo, Hiromasa Hoshi, Koji Ito et al. • Annals of Gastroenterological Surgery
(2026)
ABSTRACT Background Although surgical treatment is the primary measure for patients with perforated peptic ulcer (PPU), nonoperative management (NOM) has become a common alternative. However, risk score models predicting the success of NOM ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ags3.70074
Jiaquan Wan, Junchao Wang, Wei Zhang, Hao Song et al. • Journal of Hydrology: Regional Studies
(2025)
Study region: The Three Gorges Reservoir Area (TGRA) Study focus: TGRA faces increasing vulnerability to extreme precipitation events driven by complex convective weather systems. Radar echo extrapolation—predicting future precipitation pat...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ejrh.2025.102703
Beniyel Muthuraj, Sivapragash Murugesan, Rajesh Rajamony, Michael Thomas Rex Francis • Materials Research
(2025)
This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The model includes three essential process pa...
DOAJ
Open Access (DOAJ)
DOI: 10.1590/1980-5373-mr-2025-0388
Hafez Padervand, Banafsheh Hassanvand, Kaveh Rostami, Asma soleimani • روانشناسی تربیتی
(2026)
The aim of this study was to predict the sport participation motivation of male adolescent students in school physical education classes based on basic psychological needs and social responsibility. The research method was a correlational s...
DOAJ
Open Access (DOAJ)
DOI: 10.22054/jep.2026.88261.4266
Rafael Perera, Marjan Van Den Akker, Kym I E Snell, Joerg J Meerpohl et al. • BMJ Open
(2021)
Objective To explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex older general practice patients.Study design and setting Using ...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjopen-2020-045572
Niranjan Lal Jeswani, Muhammad Faisal Khilji, Syed Rizvi, Abdullah Al Reesi • Oman Medical Journal
(2021)
Objectives: We sought to study the epidemiology of drowning among children reported at Sultan Qaboos University Hospital in Oman. Methods: We conducted a retrospective study of the patients who presented to the emergency department with a h...
DOAJ
Open Access (DOAJ)
DOI: 10.5001/omj.2021.104
Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi • IEEE Transactions on Quantum Engineering
(2024)
The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work, we analyze a variational quantum circuit for the imputation of missing data. We constr...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/TQE.2024.3447875
V. Padmavathi, C. N. Sujatha, Vedula Sitharamulu, K. S. Reddy et al. • Wiley eBooks
(2023)
Over the past few decades, tremendous growth has been witnessed in cryptography in which different security techniques and concerns were projected and put into practice. The classical methods of cryptography are depended on binary bits, whi...
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DOI: https://doi.org/10.1002/9781119905172.ch1
Frederik F. Flöther • Research Directions Quantum Technologies
(2023)
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...
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cc-by-nc-nd
DOI: https://doi.org/10.1017/qut.2023.4
John P. Preskill • CRC Press eBooks
(2023)
This chapter sketches the foundations of the subject, discussing salient features of quantum information, formulates a mathematical model of quantum computation and highlights some implications of the model. It reviews two particularly prom...
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Open Access
DOI: https://doi.org/10.1201/9781003358817-7
Xinhao Yuan, Junfeng Yang • International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
(2020)
Despite their wide deployment, distributed systems remain notoriously hard to reason about. Unexpected interleavings of concurrent operations and failures may lead to undefined behaviors and cause serious consequences. We present Morpheus, ...
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Open Access
DOI: https://doi.org/10.1145/3373376.3378484
James W. Mickens, Brian D. Noble (2006)
Loosely-coupled distributed systems have significant scale and cost advantages over more traditional architectures, but the availability of the nodes in these systems varies widely. Availability modeling is crucial for predicting per-machin...
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Maysam Yabandeh, Nikola Knežević, Dejan Kostić, Viktor Kunčak • Infoscience (Ecole Polytechnique Fédérale de Lausanne)
(2009)
We propose a new approach for developing and deploying distributed systems, in which nodes predict distributed consequences of their actions, and use this information to detect and avoid errors. Each node continuously runs a state explorati...
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cc-by-nc-nd
Carly D. Robinson, Michael Yeomans, Justin Reich, Chris S. Hulleman et al. • International Conference on Learning Analytics and Knowledge (LAK)
(2016)
Student intention and motivation are among the strongest predictors of persistence and completion in Massive Open Online Courses (MOOCs), but these factors are typically measured through fixed-response items that constrain student expressio...
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DOI: https://doi.org/10.1145/2883851.2883932
Igor I. Baskin, David Alan Winkler, Igor V. Tetko • Expert Opinion on Drug Discovery
(2016)
INTRODUCTION: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems. The variety of neural network types and their application to drug discovery requires expert knowledge to cho...
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DOI: https://doi.org/10.1080/17460441.2016.1201262
J. T. Gene Hwang, Aidong Adam Ding • Journal of the American Statistical Association
(1997)
The artificial neural network (ANN) is becoming a very popular model for engineering and scientific applications. Inspired by brain architecture, artificial neural networks represent a class of nonlinear models capable of learning from data...
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DOI: https://doi.org/10.1080/01621459.1997.10474027
Stefano Nolfi, Domenico Parisi, Jeffrey L. Elman • Adaptive Behavior
(1994)
This article describes simulations on populations of neural networks that both evolve at the population level and learn at the individual level. Unlike other simulations, the evolutionary task (finding food in the environment) and the learn...
OPENALEX
DOI: https://doi.org/10.1177/105971239400300102