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A hierarchical machine learning model based on Glioblastoma patients' clinical, biomedical, and image data to analyze their treatment plans
, Article Computers in Biology and Medicine ; Volume 150 , 2022 ; 00104825 (ISSN) ; Rahimi Rise, Z ; Akhavan Niaki, S. T ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Aim of study: Glioblastoma Multiforme (GBM) is an aggressive brain cancer in adults that kills most patients in the first year due to ineffective treatment. Different clinical, biomedical, and image data features are needed to analyze GBM, increasing complexities. Besides, they lead to weak performances for machine learning models due to ignoring physicians' knowledge. Therefore, this paper proposes a hierarchical model based on Fuzzy C-mean (FCM) clustering, Wrapper feature selection, and twelve classifiers to analyze treatment plans. Methodology/Approach: The proposed method finds the effectiveness of previous and current treatment plans, hierarchically determining the best decision for...
Smooth projective hash function from codes and its applications
, Article IEEE Transactions on Services Computing ; Volume 15, Issue 6 , 2022 , Pages 3541-3553 ; 19391374 (ISSN) ; Aref, M. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Nowadays, Smooth Projective Hash Functions (SPHFs) play an important role in constructing cryptographic tools such as secure Password-based Authenticated Key Exchange (PAKE) protocol in the standard model, oblivious transfer, and zero-knowledge proofs. Specifically, in this article, we focus on constructing PAKE protocol; that is, a kind of key exchange protocol which needs only a low entropy password to produce a cryptographically strong shared session key. In spite of relatively good progress of SPHFs in applications, it seems there has been little effort to build them upon quantum-resistant assumptions such as lattice-based cryptography and code-based cryptography to make them secure...
State, institutional entrepreneurship and the creation of the biopharmaceutical industry in a developing country
, Article Journal of Science and Technology Policy Management ; Volume 13, Issue 4 , 2022 , Pages 765-787 ; 20534620 (ISSN) ; Mashayekhi, A. N ; HamidiMotlagh, R ; Sharif University of Technology
Emerald Publishing
2022
Abstract
Purpose: This study aims to explore the emergence and development of new industries, especially in the context of developing countries, by considering industry emergence and development as a large-scale institutional change or transition. Design/methodology/approach: The authors conducted an inductive case study research on the emergence of the biopharmaceutical industry in a developing country. The data on the emergence and development of Iran’s biopharmaceutical industry during 1990 and 2018 were collected through semi-structured interviews, participation in meetings, visits to companies and analysis of archival texts. The data analysis was an inductive and iterative process. Findings: In...
Know-how-first anti-intellectualism: Williamson against Williamson
, Article Synthese ; Volume 200, Issue 4 , 2022 ; 00397857 (ISSN) ; Khalaj, M. A ; Sharif University of Technology
Springer Science and Business Media B.V
2022
Abstract
Inspired by Williamson’s knowledge-first epistemology, I propose a position on practical knowledge that can be called the ‘know-how-first view’; yet whereas Williamson is one of the pioneers of the new intellectualism about know-how, I employ the know-how-first view to argue against intellectualism and instead develop a know-how-first version of anti-intellectualism. Williamson argues that propositional knowledge is a sui generis unanalyzable mental state that comes first in the epistemic realm; in parallel, I propose that know-how is a sui generis unanalyzable power that comes first in the practical realm. To motivate this suggestion, I put forward two arguments: (1) drawing on...
Zero knowledge focusing in millimeter-wave imaging systems using gradient approximation
, Article IEEE Transactions on Antennas and Propagation ; Volume 70, Issue 4 , 2022 , Pages 3123-3127 ; 0018926X (ISSN) ; Fakharzadeh, M ; Amini, A ; Marvasti, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
This communication addresses the focusing problem in the millimeter-wave imaging systems. We categorize the focusing problem into the frequency focusing for wideband systems and the range focusing for narrowband systems. In an out-of-focus wideband system, a shifted shadow of the object is present in the reconstruction, whereas for a range out of the focused system, the recovered images are blurred. To overcome these issues, first, we theoretically show that the defocusing variations for both categories are bounded. Then, we present a universal formulation for focusing problem, which covers both wideband and narrowband systems. As the true focused images are sharp at the boundaries of the...
The impact of knowledge management process and intellectual capital on entrepreneurial orientation and innovation
, Article Frontiers in Psychology ; Volume 13 , 2022 ; 16641078 (ISSN) ; Aslam, S ; Murad, M ; Jiatong, W ; Syed, N ; Sharif University of Technology
Frontiers Media S.A
2022
Abstract
Innovation is considered to be a dominant cause for sustainable business success. Knowledge management and intellectual capital are powerful tools to promote innovation in the organization. Therefore, this study aims to explore the influence of knowledge management process and intellectual capital on innovation with the mediating effect of entrepreneurial orientation and moderating role of leader education level. Data were collected from a sample of 393 IT firms listed in the Pakistan Software Houses Association and applied a partial least squares structural educational modeling (SEM) technique. The results show that the knowledge management process and intellectual capital have a positive...
Employee commitment to innovation performance: investigating the role of knowledge acquisition and knowledge sharing
, Article International Journal of Systematic Innovation ; Volume 7, Issue 1 , 2022 , Pages 1-17 ; 20777973 (ISSN) ; Sarcheshmeh, B. S ; Bagheri, R ; Sharif University of Technology
Society of Sytematic Innovation
2022
Abstract
Organisational commitment is suggested as a remarkable variable in shaping employees’ attitudes toward knowledge management practices. Customer trust in services is established during a long-time relationship with a firm and improves the accuracy of information shared with employees. To put it in other words, customer trust is what a service company needs to maintain its competitive advantage. On the other hand, high employee turnover reflects a substantial loss of knowledge. In the present study, the impact of organisational commitment on employees’ retention, knowledge acquisition, and sharing was examined regarding the moderating roles of leader-member exchange and innovation climate. The...
Addressing the epistemic uncertainty in seismic hazard analysis as a basis for seismic design by emphasizing the knowledge aspects and utilizing imprecise probabilities
, Article Bulletin of Earthquake Engineering ; Volume 20, Issue 2 , 2022 , Pages 741-764 ; 1570761X (ISSN) ; Rofooei, F. R ; Sharif University of Technology
Springer Science and Business Media B.V
2022
Abstract
Epistemic uncertainty in seismic hazard analysis is traditionally addressed by utilizing a logic-tree structure with subjective probabilities for branches. However, many studies have argued that probability is not a suitable choice for addressing epistemic uncertainties; in particular in addressing the background knowledge supporting the probabilities. In this regard, the application of imprecise probability (IP) is investigated. It is discussed that IP could provide a flexible tool for a more objective presentation of experts' knowledge. Moreover, the importance of addressing the strength of knowledge and surprises relative to knowledge in seismic hazard analysis along with methods to do...
State, institutional entrepreneurship and the creation of the biopharmaceutical industry in a developing country
, Article Journal of Science and Technology Policy Management ; 2021 ; 20534620 (ISSN) ; Mashayekhi, A. N ; HamidiMotlagh, R ; Sharif University of Technology
Emerald Group Holdings Ltd
2021
Abstract
Purpose: This study aims to explore the emergence and development of new industries, especially in the context of developing countries, by considering industry emergence and development as a large-scale institutional change or transition. Design/methodology/approach: The authors conducted an inductive case study research on the emergence of the biopharmaceutical industry in a developing country. The data on the emergence and development of Iran’s biopharmaceutical industry during 1990 and 2018 were collected through semi-structured interviews, participation in meetings, visits to companies and analysis of archival texts. The data analysis was an inductive and iterative process. Findings: In...
Multi-task learning from fixed-wing UAV images for 2D/3D city modelling
, Article American Society for Photogrammetry and Remote Sensing, ASPRS 2021 Annual Conference, 29 March 2021 through 2 April 2021 ; Volume 44, Issue M-3 , 2021 , Pages 1-5 ; 16821750 (ISSN) ; Khoshboresh Masouleh, M ; Sharif University of Technology
International Society for Photogrammetry and Remote Sensing
2021
Abstract
Single-task learning in artificial neural networks will be able to learn the model very well, and the benefits brought by transferring knowledge thus become limited. In this regard, when the number of tasks increases (e.g., semantic segmentation, panoptic segmentation, monocular depth estimation, and 3D point cloud), duplicate information may exist across tasks, and the improvement becomes less significant. Multi-task learning has emerged as a solution to knowledge-transfer issues and is an approach to scene understanding which involves multiple related tasks each with potentially limited training data. Multi-task learning improves generalization by leveraging the domain-specific information...
The impact of customer knowledge on the organizational performance: a system dynamics approach
, Article Kybernetes ; 2021 ; 0368492X (ISSN) ; Owlia, M. S ; Isaai, M. T ; Sharif University of Technology
Emerald Group Holdings Ltd
2021
Abstract
Purpose: The purpose of this research was to model the impact of customer knowledge on the performance of organization with a focus on information technology industry. Furthermore, it is intended to analyze the effect of customer knowledge investment on the performance measures, by reviewing investment policies. Design/methodology/approach: The relationship between customer knowledge and performance measures was specified using literature review and grounded theory method. The system dynamics approach was then applied to analyze the impact of the customer knowledge on the performance measures. Findings: This study provided a dynamic model on the causal relationship between customer knowledge...
On understanding the relation of knowledge and confidence to requirements quality
, Article 27th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2021, 12 April 2021 through 15 April 2021 ; Volume 12685 LNCS , 2021 , Pages 208-224 ; 03029743 (ISSN) ; 9783030731274 (ISBN) ; Wnuk, K ; Mendez, D ; Gorschek, T ; Ramsin, R ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
[Context and Motivation] Software requirements are affected by the knowledge and confidence of software engineers. Analyzing the interrelated impact of these factors is difficult because of the challenges of assessing knowledge and confidence. [Question/Problem] This research aims to draw attention to the need for considering the interrelated effects of confidence and knowledge on requirements quality, which has not been addressed by previous publications. [Principal ideas/results] For this purpose, the following steps have been taken: 1) requirements quality was defined based on the instructions provided by the ISO29148:2011 standard, 2) we selected the symptoms of low qualified...
The knowledge map of energy security
, Article Energy Reports ; Volume 7 , 2021 , Pages 3570-3589 ; 23524847 (ISSN) ; Bagheri Moghaddam, N ; Maleki, A ; Nazemi, A ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Much efforts have been made in the area of energy security in recent years, but due to its wide scope, it is necessary to review relevant knowledge activities and to analyze the state of knowledge of the field of energy security measurement. The purpose of this article is to present a comprehensive map of knowledge in the field of energy security. For this reason, many documents and articles have been collected during the period 2002–2019 using 7 large and reputable scientific databases as well as 53 different journals, 90% white Q1 quality. There is employed meta-synthesis, scientometrics and network analysis. In the initial survey stage where 1290 articles were found, after analyzing the...
Addressing the epistemic uncertainty in seismic hazard analysis as a basis for seismic design by emphasizing the knowledge aspects and utilizing imprecise probabilities
, Article Bulletin of Earthquake Engineering ; 2021 ; 1570761X (ISSN) ; Rahimzadeh Rofooei, F ; Sharif University of Technology
Springer Science and Business Media B.V
2021
Abstract
Epistemic uncertainty in seismic hazard analysis is traditionally addressed by utilizing a logic-tree structure with subjective probabilities for branches. However, many studies have argued that probability is not a suitable choice for addressing epistemic uncertainties; in particular in addressing the background knowledge supporting the probabilities. In this regard, the application of imprecise probability (IP) is investigated. It is discussed that IP could provide a flexible tool for a more objective presentation of experts' knowledge. Moreover, the importance of addressing the strength of knowledge and surprises relative to knowledge in seismic hazard analysis along with methods to do...
GKD: Semi-supervised graph knowledge distillation for graph-independent inference
, Article 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, 27 September 2021 through 1 October 2021 ; Volume 12905 LNCS , 2021 , Pages 709-718 ; 03029743 (ISSN) ; 9783030872397 (ISBN) ; Bahrami, M ; Kazi, A ; Soleymani Baghshah, M ; Rabiee, H. R ; Navab, N ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
The increased amount of multi-modal medical data has opened the opportunities to simultaneously process various modalities such as imaging and non-imaging data to gain a comprehensive insight into the disease prediction domain. Recent studies using Graph Convolutional Networks (GCNs) provide novel semi-supervised approaches for integrating heterogeneous modalities while investigating the patients’ associations for disease prediction. However, when the meta-data used for graph construction is not available at inference time (e.g., coming from a distinct population), the conventional methods exhibit poor performance. To address this issue, we propose a novel semi-supervised approach named GKD...
Smooth projective hash function from codes and its applications
, Article IEEE Transactions on Services Computing ; 2021 ; 19391374 (ISSN) ; Aref, M. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Nowadays, Smooth Projective Hash Functions (SPHFs) play an important role in constructing cryptographic tools such as secure Password-based Authenticated Key Exchange (PAKE) protocol in the standard model, oblivious transfer, and zero-knowledge proofs. Specifically, in this paper, we focus on constructing PAKE protocol; that is, a kind of key exchange protocol which needs only a low entropy password to produce a cryptographically strong shared session key. In spite of relatively good progress of SPHFs in applications, it seems there has been little effort to build them upon quantum-resistant assumptions such as lattice-based cryptography and code-based cryptography to make them secure...
Knowledge and awareness of the general population and healthcare providers about retinoblastoma: It is time to know the glow
, Article International Journal of Clinical Practice ; Volume 75, Issue 8 , 2021 ; 13685031 (ISSN) ; Alrawashdeh, H. M ; Alwafi, H ; Alyami, H. S ; Dahmash, E. Z ; Ghoul, I ; Shishtawi, A. A ; Abdelwahab, G. M ; Qadus, S ; Taybeh, E ; Abuthawabeh, R ; Hassanin, F ; Alhartani, Y. J ; Alyami, M.H ; Salawati, E. M ; Alwan, S. S ; Sharif University of Technology
John Wiley and Sons Inc
2021
Abstract
Retinoblastoma is the most frequent primary intraocular tumour in childhood. Early detection of retinoblastoma is the key to successful management with a higher chance of survival. This study aims to assess the knowledge of the general population and healthcare providers about retinoblastoma in term of presentation, risk factors, timing for diagnosis, and complications. A cross-sectional study using an online survey was conducted in three Arab countries (Jordan, Saudi Arabia, and Iraq) between 28 August and 16 September 2020. The questionnaire tool was constructed based on an extensive literature review to explore the study's aim and objectives. Logistic regression was used to identify...
A dynamic multi-sector analysis of technological catch-up: The impact of technology cycle times, knowledge base complexity and variety
, Article Research Policy ; Volume 50, Issue 3 , 2021 ; 00487333 (ISSN) ; Maleki, A ; Sharif University of Technology
Elsevier B.V
2021
Abstract
This article contributes to the ongoing debate about whether, how, and under what conditions latecomer countries can become producers of new technology and innovation, thereby catching up with technological leaders. Recent work on sectoral systems of innovation and in the evolutionary economics literature suggests that successful latecomers can move into new technological or industrial domains. They specialise in domains that present more frequent windows of opportunity, shorter technological cycles, flatter learning curves and easier access to relevant knowledge than others. This study investigates the role and significance of two hitherto neglected dimensions of technological regimes that...
Religious language as natural-sacred language
, Article Vestnik Sankt-Peterburgskogo Universiteta, Filosofiia i Konfliktologiia ; Volume 37, Issue 2 , 2021 , Pages 176-190 ; 25422278 (ISSN) ; Hossini, S. H ; Sharif University of Technology
Saint Petersburg State University
2021
Abstract
The article offers a different interpretation of Antony Flew's views about the problem of religious language. This interpretation shows that Flew's ideas can be perceived as a critique of belief in the content of religious statements, rather than a critique of their meaning. By interpreting his thought in this way, it is clear that Flew's approach is not new and we can find similar ideas in the history of theological thought. In connection with this interpretation, the authors analyze prevalent theories related to this problem in order to identify the principal doctrines used to find a new solution. In this regard, the new potential solution is assessed in order to complete the approach...
Assessing the effect of inattention-related error and anger in driving on road accidents among Iranian heavy vehicle drivers
, Article IATSS Research ; Volume 45, Issue 2 , 2021 , Pages 210-217 ; 03861112 (ISSN) ; Naderi, H ; Nassiri, H ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Extensive studies have examined the effect of variables such as demographic characteristics, insomnia, and working conditions of drivers individually on inattention-related error as well as expression of anger in driving. Nevertheless, so far no study has tested the concurrent effect of these factors on crashes. This study has dealt with indirect investigation of the effect of variables including demographic characteristics, insomnia, and working conditions of drivers on inattention-related error and expression of anger in driving (as mediation model). Next, the effect of these two variables on the probability of incidence of road crashes has been assessed among truck drivers. For this...