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Journal articles on the topic 'The «risk-quality» matrix'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Jaka, Sembiring, and Wiharni Fitasari. "Risk assessment of information production using extended risk matrix approach." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 3 (2019): 1324–37. https://doi.org/10.12928/TELKOMNIKA.v17i3.10050.

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In many cases poor information quality appears mainly due to in-effectiveness of information management including information production and delivery. Where this situation poses a certain risk. A holistic information risk management model has been previously proposed. But the model has some limitations especially on risk calculation and risk priority ranking as the model does not consider existing control effectiveness. In this paper, a new risk assessment method is proposed in order to improve the model of total impact of risks and to improve the accuracy of risk priority ranking by modifying

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2

Wang, Chao, Weiming Zhang, Jiufen Liu, and Nenghai Yu. "Fast Matrix Embedding by Matrix Extending." IEEE Transactions on Information Forensics and Security 7, no. 1 (2012): 346–50. http://dx.doi.org/10.1109/tifs.2011.2164907.

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3

Zhang, Wan, and Yulan Liu. "Proximal Support Matrix Machine." Journal of Applied Mathematics and Physics 10, no. 07 (2022): 2268–91. http://dx.doi.org/10.4236/jamp.2022.107155.

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4

Ganguly, Kunal. "Establishing link between quality management and supply chain risk management." TQM Journal 32, no. 5 (2019): 1039–57. http://dx.doi.org/10.1108/tqm-05-2019-0125.

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Purpose The purpose of this paper is to present a comprehensive framework for quality-related performance measures linked to supply chain risk (SCR) by analyzing and framing them into a hierarchical structure. Design/methodology/approach In this paper, quality-related performance measures (QM) are identified on the basis of literature survey and expert opinion. The quality measures are formulated as hierarchy structure and fuzzy AHP as a multi attribute decision-making tool is applied to judge the viable candidates. Findings Based on a fuzzy AHP approach, a revised risk matrix with a continuou

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5

Hefaidh, Hadef, and Djebabra Mébarek. "A conceptual framework for risk matrix capitalization." International Journal of System Assurance Engineering and Management 11, no. 3 (2020): 755–64. http://dx.doi.org/10.1007/s13198-020-00949-0.

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6

Park, Chanseok. "Statistical hypothesis testing for dot-matrix type products." International Journal of Quality Engineering and Technology 1, no. 1 (2009): 27. http://dx.doi.org/10.1504/ijqet.2009.030499.

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7

Cao, Huanqi, Shizhi Tang, Qianchao Zhu, Bowen Yu, and Wenguang Chen. "Mat2Stencil: A Modular Matrix-Based DSL for Explicit and Implicit Matrix-Free PDE Solvers on Structured Grid." Proceedings of the ACM on Programming Languages 7, OOPSLA2 (2023): 686–715. http://dx.doi.org/10.1145/3622822.

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Partial differential equation (PDE) solvers are extensively utilized across numerous scientific and engineering fields. However, achieving high performance and scalability often necessitates intricate and low-level programming, particularly when leveraging deterministic sparsity patterns in structured grids. In this paper, we propose an innovative domain-specific language (DSL), Mat2Stencil, with its compiler, for PDE solvers on structured grids. Mat2Stencil introduces a structured sparse matrix abstraction, facilitating modular, flexible, and easy-to-use expression of solvers across a broad s

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8

Sacks, Ivan J. "Digraph Matrix Analysis." IEEE Transactions on Reliability R-34, no. 5 (1985): 437–46. http://dx.doi.org/10.1109/tr.1985.5222226.

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9

Chernyy, K., and Ekaterina Belokrylova. "Recommendations on Occupational Risk Assessment Matrix Development." Safety in Technosphere 9, no. 3 (2021): 16–22. http://dx.doi.org/10.12737/1998-071x-2021-9-3-16-22.

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The matrix method is often used for occupational risk assessment. In this paper have been considered the matrix method’s use features, as well as have been highlighted its advantages and disadvantages. Have been presented recommendations on the risk matrix development, and criteria for categorization of occupational risk’s attributes – the effect consequences severity of hazard and its feasibility. The proposed approach to consequences severity categorization is accorded with rules and regulations regarding the severity of harm to human health, which in return facilitates mitigation the

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10

Csenki, A. "On the three-state weather model of transmission line failures." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 221, no. 3 (2007): 217–28. http://dx.doi.org/10.1243/1748006xjrr63.

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Recent work by Billinton et al. has highlighted the importance of employing more than one adverse weather state when modelling transmission line failures by Markov processes. In the present work the structure of the modelling Markov process is identified, allowing the rate matrix to be written in a closed form using Kronecker matrix operations. This approach allows larger models to be handled safely and with ease. The MAXIMA implementation of two asymptotic reliability indices for such systems is addressed, exemplifying the combination of symbolic and numerical steps, perhaps not seen in this

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11

Muhammad, Katon, and Putu Dana Karningsih. "Development of quality improvement matrix: An integrated tools for quality improvement." MATEC Web of Conferences 204 (2018): 01013. http://dx.doi.org/10.1051/matecconf/201820401013.

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Continuous quality improvement is essential to ensure the competitiveness of manufacturing industries. Design of Experiments, Statistical Process Control and Failure Mode and Effect Analysis are common tools for improving quality. This study proposes a new tool that could encompass quality improvement steps comprehensively, namely Quality Improvement Matrix. This tool integrates several techniques which are House of Quality, Failure Mode and Effect Analysis (FMEA) and Root Cause Analysis. Quality Improvement Matrix covers identification of defects and its root causes, measuring the magnitude o

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12

Fan, Shaohua. "Matrix Boundary Value Problem on Hyperbola." Journal of Applied Mathematics and Physics 11, no. 04 (2023): 884–90. http://dx.doi.org/10.4236/jamp.2023.114059.

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13

D. R. Kumar, Raja, Kumar G. Hemanth, Basha Syed Muzamil, and Ahmed Syed Thouheed. "Recommendations based on Integrated Matrix Time Decomposition and Clustering Optimization." International Journal of Performability Engineering 18, no. 4 (2022): 298. http://dx.doi.org/10.23940/ijpe.22.04.p8.298306.

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14

Haiyong, Dong, Gu Qingfan, Wang Guoqing, Zhai Zhengjun, and Lu Yanhong. "A Novel Safety Assessment Method based on Fault Dependent Matrix." International Journal of Performability Engineering 15, no. 9 (2019): 2392. http://dx.doi.org/10.23940/ijpe.19.09.p12.23922399.

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15

Hale, Michael T. "Spectral Density Matrix Transformations." Journal of the IEST 60, no. 1 (2017): 21–30. http://dx.doi.org/10.17764/1098-4321.60.1.21.

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Abstract Reference criteria for a multiple degree-of-freedom (MDOF) random vibration test is generally provided in terms of an acceleration-based spectral density matrix (SDM). This SDM may be developed in terms of the auto-spectral densities (ASDs) and cross-spectral densities (CSDs) computed from the time histories acquired from an appropriately placed and oriented set of linear accelerometers. Such a direct measurement linear accelerometer based reference criteria will be denoted as SDMmeas. A second technique for defining a reference SDM is in terms of the accelerations associated with the

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16

Kim, Minchul, Heecheol Yang, and Jungwoo Lee. "Private Coded Matrix Multiplication." IEEE Transactions on Information Forensics and Security 15 (2020): 1434–43. http://dx.doi.org/10.1109/tifs.2019.2940895.

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17

Kadariah, Siti, Anriza Witi Nasution, and Saparuddin Siregar. "Penerapan Konsep Peringkat Risiko pada Manajemen Risiko Hukum di Perbankan Syariah." Jurnal EMT KITA 7, no. 2 (2023): 301–7. http://dx.doi.org/10.35870/emt.v7i2.890.

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This study aims to look at the risk rating, the risk rating is the final conclusion on the Bank's risk after considering the mitigation carried out through the implementation of risk management, to determine the bank's risk rating refers to the rating matrix. This matrix basically maps out risk ratings resulting from a combination of inherent risk and quality of risk management implementation. Research results determine the risk rating because the determination of the rating assessment is the basis for banks to categorize bank risk ratings. The results of applying risk ratings for banks are ca

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18

Wei, Kai, Qiandeng Li, Jiacui Luan, Minggang Liu, and Xingyi Wang. "Formation Matrix and Its Application in Drilling Risk Evaluation." International Journal of Safety and Security Engineering 10, no. 3 (2020): 351–57. http://dx.doi.org/10.18280/ijsse.100306.

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19

Ramnath, Vishal. "Determining the covariance matrix for a nonlinear implicit multivariate measurement equation uncertainty analysis." International Journal of Metrology and Quality Engineering 13 (2022): 9. http://dx.doi.org/10.1051/ijmqe/2022008.

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The application of the Guide to the Expression of Uncertainty in Measurement (GUM) for multivariate measurand equations requires an expected vector value and a corresponding covariance matrix in order to accurately calculate measurement uncertainties for models that involve correlation effects. Typically in scientific metrology applications the covariance matrix is estimated from Monte Carlo numerical simulations with the assumption of a Gaussian joint probability density function, however this procedure is often times considered too complex or cumbersome for many practicing metrologists in in

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20

Chenyang, Zhao, and Wang Junling. "Service Recommendation Model based on Rating Matrix and Context-Embedded LSTM." International Journal of Performability Engineering 15, no. 9 (2019): 2432. http://dx.doi.org/10.23940/ijpe.19.09.p17.24322441.

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21

Alameri, A., A. S. A. M. Alhammadi, A. H. Memon, I. A. Rahman, and N. A. N. Nasaruddin. "Assessing the Risk Level of the Challenges Faced In Construction Projects." Engineering, Technology & Applied Science Research 11, no. 3 (2021): 7152–57. http://dx.doi.org/10.48084/etasr.4020.

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The failure of construction projects could be attributed to several challenges that emerged during the construction process. Nine major challenges were uncovered from the literature: resource allocation, time, cost, quality, safety, project complexity, changes, uncertainties, and communication. A survey was carried out among professionals having a minimum of 10 years of experience in the construction industry to identify the occurrence and severity of these challenges. A total of 117 responses were analyzed and plotted on a risk matrix. The mean values indicated that time, cost, and quality ar

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22

Wang, Chenlin, Gongzhuo Yang, Junyu Li, and Qibai Huang. "Fuzzy Adaptive PSO-ELM Algorithm Applied to Vehicle Sound Quality Prediction." Applied Sciences 13, no. 17 (2023): 9561. http://dx.doi.org/10.3390/app13179561.

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When dealing with specific tasks, the hidden layer output matrix of an extreme learning machine (ELM) may change, largely due to the random assigned weight matrix of the input layer and the threshold matrix of the hidden layer, which sequentially leads to the corresponding change to output weights. The unstable fluctuations of the output weights increase the structural risk and the empirical risk of ELM. This paper proposed a fuzzy adaptive particle swarm optimization (PSO) algorithm to solve this problem, which could nonlinearly control the inertia factor during the iteration by fuzzy control

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23

Khalane, Vivek, Shekhar Suralkar, and Umesh Bhadade. "Image Encryption Based on Matrix Factorization." International Journal of Safety and Security Engineering 10, no. 5 (2020): 655–61. http://dx.doi.org/10.18280/ijsse.100510.

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In this paper, we present a matrix decomposition-based approach for image cryptography. The proposed method consists of decomposing the image into different component and scrambling the components to form the image encryption technique. We use two different type of matrix decomposition techniques to check the efficiency of proposed encryption method. The decomposition techniques used are Independent component analysis (ICA) and Non-Negative Matrix factorization (NMF). The proposed technique has unique user defined parameters (key) such as decomposition method, number of decomposition component

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24

Sahoo, Laxminarayan. "Solving matrix games with linguistic payoffs." International Journal of System Assurance Engineering and Management 10, no. 4 (2018): 484–90. http://dx.doi.org/10.1007/s13198-018-0714-0.

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25

Fridrich, J., and D. Soukal. "Matrix Embedding for Large Payloads." IEEE Transactions on Information Forensics and Security 1, no. 3 (2006): 390–95. http://dx.doi.org/10.1109/tifs.2006.879281.

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26

EFIMOVA, N. P., and A. A. VASILIEV. "THREE LINES OF DEFENSE: THE PROSPECT OF IMPROVING THE QUALITY OF FINANCIAL MANAGEMENT OF PUBLIC SECTOR ORGANIZATIONS." MOSCOW UNIVERSITY BULLETIN ON STATE AUDIT, no. 4, 2024 (2025): 82–93. https://doi.org/10.55959/msu2413-631x-27-15-4-06.

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The article presents a study of domestic practice on the issue of financial management of public sector organizations and monitoring the quality of public finance management. The risk assessment during the financial audit, the causes and their characteristics are investigated. Based on the analysis of risk assessment criteria, a risk matrix has been formed. Based on the results of the conducted research, proposals have been developed to create three lines of risk protection during the quality of financial management.

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27

Wilkinson, Lucas, Kazem Cheshmi, and Maryam Mehri Dehnavi. "Register Tiling for Unstructured Sparsity in Neural Network Inference." Proceedings of the ACM on Programming Languages 7, PLDI (2023): 1995–2020. http://dx.doi.org/10.1145/3591302.

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Unstructured sparse neural networks are an important class of machine learning (ML) models, as they compact model size and reduce floating point operations. The execution time of these models is frequently dominated by the sparse matrix multiplication (SpMM) kernel, C = A × B , where A is a sparse matrix, and B and C are dense matrices. The unstructured sparsity pattern of matrices in pruned machine learning models along with their sparsity ratio has rendered useless the large class of libraries and systems that optimize sparse matrix multiplications. Reusing registers is particularly difficul

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28

V., Aarthipriya, Chitra G., and Sevvel Poomozhi J. "Risk and Its Impact on Quality, Safety and Procurement in Construction Projects." Journal of Sustainable Construction and Project Management 3, no. 2 (2020): 1–15. https://doi.org/10.5281/zenodo.3963989.

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Risk management is an integral part of project management on all construction projects based on knowledge areas of PMBOK. Risk analysis is process of risk which is used to quantify and analyze risks and give the mitigation strategies for each risk. This research was conducted to identify, analyze risks and provide mitigation measures associated with Residential Projects in Bangalore. In this study, risk and its impact were identified and analyzed based on quality, safety and procurement of materials using the questionnaire survey. The impact of project risk was analyzed using qualitative risk

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29

Pope, Belinda, Tony Badrick, Michael Whiley, and Stephanie Gay. "Review of current incidents and risk calculations used in the Royal College of Australasian Pathologists Key Incident Management and Monitoring Systems - a system that could be used by all Australasian medical laboratories, and easily adapted to worldwide use." Biochemia medica 32, no. 1 (2022): 33–38. http://dx.doi.org/10.11613/bm.2022.010702.

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The Royal College of Pathologists of Australasia Quality Assurance Programs (RCPAQAP) Key Incident Monitoring and Management Systems (KIMMS) program has found that some existing Quality Indicators are too broad or not well defined. The risk matrix in use does not allow changes in incident Detection or Probability. In 2020, a review was performed: what issues should KIMMS include as Key Incidents and how could risk measurement be improved? Twenty-seven networked and stand-alone laboratories enrolled in KIMMS during 2020 were surveyed on 45 current and new indicators of risk in the total testing

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30

Garg, R. K., Kapil Sharma, C. K. Nagpal, et al. "Ranking of software engineering metrics by fuzzy-based matrix methodology." Software Testing, Verification and Reliability 23, no. 2 (2011): 149–68. http://dx.doi.org/10.1002/stvr.459.

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31

Lizhi, Xiao, Zhang Zheng, and Sun Peng. "Cross-Domain Relationship Prediction by Efficient Block Matrix Completion for Social Media Applications." International Journal of Performability Engineering 16, no. 7 (2020): 1087. http://dx.doi.org/10.23940/ijpe.20.07.p11.10871094.

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32

Alkaff, Abdullah, Mochamad Nur Qomarudin, and Yusuf Bilfaqih. "Network reliability analysis: matrix-exponential approach." Reliability Engineering & System Safety 212 (August 2021): 107591. http://dx.doi.org/10.1016/j.ress.2021.107591.

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33

Regalia, Phillip A. "Cryptographic Secrecy of Steganographic Matrix Embedding." IEEE Transactions on Information Forensics and Security 3, no. 4 (2008): 786–91. http://dx.doi.org/10.1109/tifs.2008.2002940.

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34

Alkaff, Abdullah, Mochamad Nur Qomarudin, and Yusuf Bilfaqih. "Network reliability analysis: Matrix-exponential approach." Reliability Engineering & System Safety 204 (December 2020): 107192. http://dx.doi.org/10.1016/j.ress.2020.107192.

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35

Gandhi, O. P., and V. P. Agrawal. "FMEA—A diagraph and matrix approach." Reliability Engineering & System Safety 35, no. 2 (1992): 147–58. http://dx.doi.org/10.1016/0951-8320(92)90034-i.

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36

Farooq, Muhammad Bilal, Ammad Ahmed, and Muhammad Nadeem. "Sustainability reporter classification matrix: explaining variations in disclosure quality." Meditari Accountancy Research 26, no. 2 (2018): 334–52. http://dx.doi.org/10.1108/medar-09-2017-0218.

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Purpose The purpose of this study is to develop a sustainability reporter classification matrix (hereafter referred to as the “matrix”) to explain why some reporters publish better-quality sustainability reports than others and why some reporters experience improvements in the quality of their sustainability reports while others experience no improvement or a decline in sustainability report quality. Design/methodology/approach The study draws on the existing literature, which is analysed using a combination of legitimacy theory (i.e. commitment to sustainability reporting) and resource-based

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37

McKone, Thomas E. "Dermal Uptake of Organic Chemicals from a Soil Matrix." Risk Analysis 10, no. 3 (1990): 407–19. http://dx.doi.org/10.1111/j.1539-6924.1990.tb00524.x.

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38

Fan, Hongyan, and Xi Tang. "Relative Ding Projective Modules over Formal Triangular Matrix Rings." Journal of Applied Mathematics and Physics 11, no. 06 (2023): 1598–614. http://dx.doi.org/10.4236/jamp.2023.116105.

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39

Cheptanari, Nicoleta, Stela Adauji, and Mihail Brumarel. "Risk management -component part of the quality assurance system of pharmaceutical care." Moldovan Journal of Health Sciences, no. 4 (December 2022): 52–60. http://dx.doi.org/10.52645/mjhs.2022.4.09.

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Introduction. In the pharmaceutical field, the quality management is a priority and the risk management is a valuable component of an effective quality system. It involves anticipating hazards and controlling risk through a process of risk awareness, reduction, and review. The aim of this paper was to reveal the usefulness of modern risk management strategies and to assess the impact of risk management in the provision of quality services by community pharmacies. Material and methods. The causes that can lead to medication errors in community pharmacies were identified by applying the CNAM Met

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40

Xiang, Shang. "Research on Matrix-Based Algorithm for Binary Tree Model Option Pricing." Insights in Computer, Signals and Systems 1, no. 1 (2024): 99–108. https://doi.org/10.70088/41zed590.

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With the rapid development of internet finance, financial risk issues have become increasingly prominent, and traditional risk control models can no longer effectively address the complex and dynamic scenarios of internet finance. This paper leverages the advantages of machine learning algorithms to propose an internet financial risk control model based on machine learning. Firstly, the data characteristics of financial risk control scenarios are analyzed, and data preprocessing and feature extraction are performed to improve the quality of model input. Secondly, to meet different risk identif

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41

Machado, Thiago Souza Santos, Pedro Henrique Athayde da Costa Leal, Tiago Afonso Sobreira Cardoso, Leonardo da Silva Borges, Carlos Jefferson de Melo Santos, and Angelo Marcio Oliveira Sant’Anna. "Risk and safety assessment in the foundry process in the metallurgical industry." Revista Produção Online 23, no. 3 (2024): 5104. http://dx.doi.org/10.14488/1676-1901.v23i3.5104.

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The metallurgical industry, crucial for the global economy, faces considerable challenges in the casting process, with workers exposed to physical, chemical, and ergonomic risks. This study emphasizes the importance of risk management, utilizing tools such as the Ishikawa Diagram, Pareto Diagram, and GUT Matrix. Regulatory Standards (NRs), like NR 4 and NR 9, play a crucial role in safety by establishing guidelines for specialized services and environmental risk prevention. Risk assessment, essential for the safe operation of the metallurgical industry, involves identifying and controlling pot

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42

Xinbo, Qian, and Huang Jian. "A Degradation Identification Method Combining Cost Matrix and Prediction Window Width for Mechanical Equipment." International Journal of Performability Engineering 15, no. 9 (2019): 2400. http://dx.doi.org/10.23940/ijpe.19.09.p13.24002406.

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43

Seba, P. Antony, and J. V. Bibal Benifa. "Hybrid Outlier Detection Strategy and Weighted Decision Matrix Ordinal Classifier for CKD Severity Prediction." International Journal of Performability Engineering 19, no. 2 (2023): 144. http://dx.doi.org/10.23940/ijpe.23.02.p7.144154.

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44

SKRZYPCZAK, Izabela, Joanna ZIĘBA, and Tomasz PYTLOWANY. "Risk Modeling in Quality Assessment of Ready-Mix Concrete Using Simulation Methods." Architecture, Civil Engineering, Environment 17, no. 1 (2024): 71–76. https://doi.org/10.2478/acee-2024-0006.

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Abstract Uncertainties associated with assessing the strength of concrete and the shortcomings of statistical criteria for assessing compliance are the reasons for formulating new procedures for classifying manufactured concrete, as well as for estimating risk when assessing its quality. Using the proposed model based on simulation methods and Gauss or Clayton copulas, it is possible to calculate the value of risk in the production of ready-mixed concrete with underestimated quality. Exposure to risk in assessing the quality of concrete can be measured as the product of the level of risk and t

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45

Liu, Jintao, Keping Li, Wei Zheng, and Jiebei Zhu. "An importance order analysis method for causes of railway signaling system hazards based on complex networks." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 4 (2018): 567–79. http://dx.doi.org/10.1177/1748006x18807785.

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The importance order of causes of a railway signaling system hazard is important for the arrangement of control measures for eliminating or controlling the system hazard. In order to obtain a reasonable importance order, a novel importance order analysis method based on complex networks is proposed in this article. In this article, to characterize the causes from a topological perspective, a comprehensive topology characteristic is proposed. It is built on the top of three typical topology characteristics with the weighted Euclidean distance. Then, an influence coefficient matrix is proposed t

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46

Skiter, E. "Development of the matrix material selection algorithm for immobilization of transurane elements using the modified method of analysis of hierarchies." Nuclear and Radiation Safety, no. 2(78) (June 7, 2018): 36–42. http://dx.doi.org/10.32918/nrs.2018.2(78).06.

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The method of selecting the matrix material and the matrix synthesis method for immobilizing radioactive waste containing transuranium elements was developed using a system approach. A decomposition of the task of selecting and evaluating the selection parameters at different levels of the hierarchy has been carried out. An algorithm for solving the choice problem is proposed on the basis of the modified hierarchy analysis method. It is shown that the use of this algorithm in the selection of the matrix material makes it possible to take into account its radiation-chemical, physico-mechanical

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47

C. Akatch, Winda, Okelo B. Nyaare, and Omoke P. M. "Decomposable of positive map from M3(C) to M2(M2(C))." Journal of Mathematical Analysis and Modeling 4, no. 2 (2023): 16–25. http://dx.doi.org/10.48185/jmam.v4i2.826.

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In most literature, the decomposition of positive maps from M3 to M2 are discussed where the matrix elements are complex numbers. In this paper we construct a positive maps φ(µ,c1,c2) from M3(C) to M2(M2(C)). The Choi matrices for complete positivity and complete copositivity ares visualized as tensor matrix M3 ⊗M2 with M2(C) as the entry elements. The construction allow us describe decomposability on positive semidefinite matrices.

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48

Samokhvalov, Ivan O. "THE CONCEPT OF DEVELOPING A RISK MATRIX FOR LARGE INFRASTRUCTURE PROJECTS WITH STATE PARTICIPATION." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 1/6, no. 142 (2024): 133–43. http://dx.doi.org/10.36871/ek.up.p.r.2024.01.06.016.

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The purpose of this article is to form the principles of developing a risk matrix for large infrastructure projects with state participation. The relevance of this topic is due to the fact that the issues of risk management and their distribution among participants in the risk matrix of large infrastructure projects with state participation being developed is one of the key issues for making a decision on the initiation or continuation of the project. At its core, the risk matrix is the main document defining the key conditions and negotiating position of participants in public-private partner

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49

Li, Jin, and Wanli Ma. "Optimizing the Computation of Many-Pair Density Matrix in VDPC." Journal of Applied Mathematics and Physics 10, no. 07 (2022): 2303–12. http://dx.doi.org/10.4236/jamp.2022.107157.

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50

Snounu, Yasmin. "Apartheid, Disability, and the Triple Matrix of Maiming in Palestine." Peace Review 31, no. 4 (2019): 459–70. http://dx.doi.org/10.1080/10402659.2019.1800930.

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