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Journal articles on the topic 'Permutation multi-group'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Yin, Yifeng, Kunpeng Liu, Chaofei Hu, and Yong Gan. "The Group Key Agreement Protocol Based on Multi-Dimensional Virtual Permutation." IEEE Communications Letters 24, no. 12 (2020): 2728–32. http://dx.doi.org/10.1109/lcomm.2020.3017660.

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Jiang, Yao-Yao, Wen-Bin Zhang, Peng-Cheng Chu, and Hong-Yang Ma. "Feedback search algorithm for multi-particle quantum walks over a ring based on permutation groups." Acta Physica Sinica 71, no. 3 (2022): 030201. http://dx.doi.org/10.7498/aps.71.20211000.

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In quantum computing science, much attention has been paid to how to construct quantum search algorithms better, moreover, searching for new search algorithms based on quantum walk is still attracting scholars' continuous in-depth research and exploration. In this paper, a multi-particle quantum walk search algorithm based on permutation group is proposed by considering many aspects, such as reducing time consumption and increasing the accuracy and controllability of algorithm search. Firstly, the permutation group can be regarded as a closed loop in space, and the permutation set is defined.

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Feng, Jingkai, and Jinguo Liu. "Configuration Enumeration of Multi-Limb Reconfigurable Modular Robots." Journal of Physics: Conference Series 2402, no. 1 (2022): 012032. http://dx.doi.org/10.1088/1742-6596/2402/1/012032.

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Abstract By introducing modular and reconfigurable designs, the Multi-limb Reconfigurable Modular Robots (MLRMR) have many different configurations instead of a single fixed configuration, which greatly expands the boundaries of the operation. However, the number of non-isomorphic configurations increases exponentially with the number of modules, making it necessary to explore the enumeration method theoretically. Based on the group theory, the permutation groups of the Multi-limb (including three-limb, four-limb, and five-limb) Reconfigurable Modular Robots are established in this paper, and

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Gibbons, Peter B., and Rudolf Mathon. "Construction methods for Bhaskar Rao and related designs." Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics 42, no. 1 (1987): 5–30. http://dx.doi.org/10.1017/s1446788700033929.

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AbstractMathématical and computational techniques are described for constructing and enumerating generalized Bhaskar Rao designs (GBRD's). In particular, these methods are applied to GBRD(k + 1, k, 1(k − 1); G)'s for 1 ≥ 1. Properties of the enumerated designs, such as automorphism groups, resolutions and contracted designs are tabulated. Also described are applications to group divisible designs, multi-dimensional Howell cubes, generalized Room squares, equidistant permutation arrays, and doubly resolvable two-fold triple systems.

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Nie, Weihang, Zehui Yang, Lingxuan Ye, and Ji Xu. "Multi-target direction-of-arrival estimation of deep models with frame-level permutation invariant training in marine acoustic environment." Journal of the Acoustical Society of America 155, no. 1 (2024): 315–27. http://dx.doi.org/10.1121/10.0024349.

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Direction-of-arrival (DoA) estimation is an important part in sonar signal processing, providing a reliable foundation for tasks, such as underwater object detection and tracking. Although the deep learning model has powerful data fitting capabilities, accurately estimating the orientation of multiple targets with a single model remains a challenging task. To address this challenge, we enhance the permutation invariant training (PIT) technique and propose two different types of methods: multi-group classification with PIT (MC-PIT) and multi-group regression with PIT (MR-PIT). These two frame-l

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Khameneh, Azadeh, and Adem Kiliçman. "m-Polar Fuzzy Soft Weighted Aggregation Operators and Their Applications in Group Decision-Making." Symmetry 10, no. 11 (2018): 636. http://dx.doi.org/10.3390/sym10110636.

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Aggregation operators are important tools for solving multi-attribute group decision-making (MAGDM) problems. The main challenging issue for aggregating data in a MAGDM problem is how to develop a symmetric aggregation operator expressing the decision makers’ behavior. In the literature, there are some methods dealing with this difficulty; however, they lack an effective approach for multi-polar inputs. In this study, a new aggregation operator for m-polar fuzzy soft sets (M-pFSMWM) reflecting different agreement scenarios within a group is presented to proceed MAGDM problems in which both att

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Cook, Diane J., Miranda Strickland, and Maureen Schmitter-Edgecombe. "Detecting Smartwatch-Based Behavior Change in Response to a Multi-Domain Brain Health Intervention." ACM Transactions on Computing for Healthcare 3, no. 3 (2022): 1–18. http://dx.doi.org/10.1145/3508020.

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In this study, we introduce and validate a computational method to detect lifestyle change that occurs in response to a multi-domain healthy brain aging intervention. To detect behavior change, digital behavior markers are extracted from smartwatch sensor data and a permutation-based change detection algorithm quantifies the change in marker-based behavior from a pre-intervention, 1-week baseline. To validate the method, we verify that changes are successfully detected from synthetic data with known pattern differences. Next, we employ this method to detect overall behavior change for n = 28 b

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Fazekas, Levente, Boldizsár Tüű-Szabó, László T. Kóczy, Olivér Hornyák, and Károly Nehéz. "A Hybrid Discrete Memetic Algorithm for Solving Flow-Shop Scheduling Problems." Algorithms 16, no. 9 (2023): 406. http://dx.doi.org/10.3390/a16090406.

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Flow-shop scheduling problems are classic examples of multi-resource and multi-operation scheduling problems where the objective is to minimize the makespan. Because of the high complexity and intractability of the problem, apart from some exceptional cases, there are no explicit algorithms for finding the optimal permutation in multi-machine environments. Therefore, different heuristic approaches, including evolutionary and memetic algorithms, are used to obtain the solution—or at least, a close enough approximation of the optimum. This paper proposes a novel approach: a novel combination of

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E.R., Genevie, Ungku Fatimah, U.Z.A., Samuel L., and Nuzul N.J. "The moderating effects of gender and education level on safe food handling intention among consumers in Sibu, Malaysia: based on the Theory of Planned Behavior." Food Research 4, no. 2 (2019): 366–74. http://dx.doi.org/10.26656/fr.2017.4(2).299.

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The consumers who did not comply with safe food-handling practices also contributed to the occurrence of food contamination. This study adapted the Theory of Planned Behavior (TPB) to examine the moderating effect of gender and level of education differences that influence the intention of safe food handling at home. A total of 623 consumers based in Sibu, Malaysia completed a questionnaire that measured attitude, subjective norm, perceived behavior control (PBC), and intention. Based on PLS-SEM multi-group analysis (PLS-MGA) by permutation approach, gender demonstrated no moderating effect on

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Jiang, Yufei, Zhu Xu, Enggee Lim, and Huang Yi. "Orthogonal sequences based multi-CFO estimation and semi-blind ICA based equalization for multiuser comp systems." Computer Science and Information Systems 9, no. 4 (2012): 1385–406. http://dx.doi.org/10.2298/csis120303051j.

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We propose a low-complexity carrier frequency offset (CFO) estimation approach and an independent component analysis (ICA) based semi-blind equalization structure for the orthogonal frequency division multiplexing (OFDM) based multiuser coordinated multi-point (CoMP) systems. A group of orthogonal sequences are employed to enable separation and simultaneous estimation of multiple CFOs at base stations, dividing a complex multi-dimensional search into series of low-complexity mono-dimensional searches. Then, a small number of pilot symbols attached to the source data, are used to resolve the am

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Esmaiel, Hamada, Dongri Xie, Zeyad A. H. Qasem, Haixin Sun, Jie Qi, and Junfeng Wang. "Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise." Sensors 22, no. 1 (2021): 112. http://dx.doi.org/10.3390/s22010112.

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Due to the complexity and unique features of the hydroacoustic channel, ship-radiated noise (SRN) detected using a passive sonar tends mostly to distort. SRN feature extraction has been proposed to improve the detected passive sonar signal. Unfortunately, the current methods used in SRN feature extraction have many shortcomings. Considering this, in this paper we propose a new multi-stage feature extraction approach to enhance the current SRN feature extractions based on enhanced variational mode decomposition (EVMD), weighted permutation entropy (WPE), local tangent space alignment (LTSA), an

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Xu, Wendi, Xianpeng Wang, Qingxin Guo, et al. "Evolutionary Process for Engineering Optimization in Manufacturing Applications: Fine Brushworks of Single-Objective to Multi-Objective/Many-Objective Optimization." Processes 11, no. 3 (2023): 693. http://dx.doi.org/10.3390/pr11030693.

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Single-objective to multi-objective/many-objective optimization (SMO) is a new paradigm in the evolutionary transfer optimization (ETO), since there are only “1 + 4” pioneering works on SMOs so far, that is, “1” is continuous and is firstly performed by Professors L. Feng and H.D. Wang, and “4” are firstly proposed by our group for discrete cases. As a new computational paradigm, theoretical insights into SMOs are relatively rare now. Therefore, we present a proposal on the fine brushworks of SMOs for theoretical advances here, which is based on a case study of a permutation flow shop scheduli

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Jain, Trevor, Aaron Sibley, Henrik Stryhn, and Ives Hubloue. "Comparison of Unmanned Aerial Vehicle Technology Versus Standard Practice in Identification of Hazards at a Mass Casualty Incident Scenario by Primary Care Paramedic Students." Disaster Medicine and Public Health Preparedness 12, no. 5 (2018): 631–34. http://dx.doi.org/10.1017/dmp.2017.129.

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AbstractIntroductionThe proliferation of unmanned aerial vehicles (UAV) has the potential to change the situational awareness of incident commanders allowing greater scene safety. The aim of this study was to compare UAV technology to standard practice (SP) in hazard identification during a simulated multi-vehicle motor collision (MVC) in terms of time to identification, accuracy and the order of hazard identification.MethodsA prospective observational cohort study was conducted with 21 students randomized into UAV or SP group, based on a MVC with 7 hazards. The UAV group remained at the UAV g

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Zhang, Hanrui, Xiao Lv, Chao Ma, and Liangzhong Cui. "An Elite Wolf Pack Algorithm Based on the Probability Threshold for a Multi-UAV Cooperative Reconnaissance Mission." Drones 8, no. 9 (2024): 513. http://dx.doi.org/10.3390/drones8090513.

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In the task assignment problem of multi-UAV collaborative reconnaissance, existing algorithms have issues with inadequate solution accuracy, specifically manifested as large spatial spans and knots of routes in the task execution of UAVs. To address the above challenges, this paper presents a multi-UAV task assignment model under complex conditions (MTAMCC). To efficiently solve this model, this paper proposes an elite wolf pack algorithm based on probability threshold (EWPA-PT). The EWPA-PT algorithm combines the wandering behavior in the traditional wolf pack algorithm with the genetic algor

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Kotukh, Y., G. Khalimov, and M. Korobchinskyi. "Method of encryption in the MST3 cryptosystem based on Automorphisms group of Suzuki's functional field." Radiotekhnika, no. 215 (December 25, 2023): 46–59. http://dx.doi.org/10.30837/rt.2023.4.215.05.

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This article presents a new implementation of encryption based on MST, focused on generalized Suzuki 2-groups. The well-known MST cryptosystem, based on Suzuki groups, is constructed using a logarithmic signature at the center of the group, leading to a large array of logarithmic signatures. The proposed encryption is based on multi-parameter noncommutative groups, with a focus on the generalized multi-parameter Suzuki 2-group. This approach responds to the progress in the development of quantum computers, which may pose a threat to the security of many open cryptosystems, especially those bas

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Lu, Wei, Yuangang Li, Yixiu Kong, and Liangli Yang. "Generalized triangular Pythagorean fuzzy weighted Bonferroni operators and their application in multi-attribute decision-making." AIMS Mathematics 8, no. 12 (2023): 28376–97. http://dx.doi.org/10.3934/math.20231452.

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<abstract><p>The consolidation of evaluations from various decision-makers within a group, concerning multiple attributes of limited schemes, seeks to unify or compromise collective preferences according to specific rules. The superior characteristics of Possibility Fuzzy Sets (PFS) in membership endow it with enhanced capabilities in depicting ambiguous information. The Bonferroni operator proficiently mitigates the influences of interrelations between attributes in decision-making dilemmas. To address the Multi-Attribute Decision Making (MADM) conundrum wherein attribute values a

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Afthanorhan, Asyraf, Ahmad Aimran, and Sabri Ahmad. "Permutation Test, Non-parametric, and Confidence Set Approaches to Multi Group Analysis for Comparing 2 Groups Using Partial Least Square Structural Equation Modeling (Pls-Sem)." Advances in Research 4, no. 5 (2015): 315–28. http://dx.doi.org/10.9734/air/2015/15218.

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Guo, Yanping, Yingying Chen, Qianru Yang, Fengzhen Hou, Xinyu Liu, and Yan Ma. "Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia." Entropy 23, no. 9 (2021): 1101. http://dx.doi.org/10.3390/e23091101.

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Insomnia is a common sleep disorder that is closely associated with the occurrence and deterioration of cardiovascular disease, depression and other diseases. The evaluation of pharmacological treatments for insomnia brings significant clinical implications. In this study, a total of 20 patients with mild insomnia and 75 healthy subjects as controls (HC) were included to explore alterations of electroencephalogram (EEG) complexity associated with insomnia and its pharmacological treatment by using multi-scale permutation entropy (MPE). All participants were recorded for two nights of polysomno

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CUI, Gaochao, Li ZHU, Dongsheng WANG, and Jianting CAO. "EEG Analysis for Differentiating between Brain Death and Coma in Humans." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 11 (2016): 7189–201. http://dx.doi.org/10.24297/ijct.v15i11.4377.

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To have an accuracy and fast diagnosis of brain death is very urgent for patients especially for distinguishing brain death from coma circumstance. Electroencephalogram is a method of invasive recording brain signals with high temporal resolution. So in clinics, EEG is taken as the most reliable method to estimate the brain death state of affairs. The objective of this paper is to find out the statistical rule on brain death and coma detection through EEG signal processing technology analysis on 20 patientsâ€™ medical data (10 for brain death group, 10 for coma group) and then hope to give aid

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Xie, Dongri, Hamada Esmaiel, Haixin Sun, Jie Qi, and Zeyad A. H. Qasem. "Feature Extraction of Ship-Radiated Noise Based on Enhanced Variational Mode Decomposition, Normalized Correlation Coefficient and Permutation Entropy." Entropy 22, no. 4 (2020): 468. http://dx.doi.org/10.3390/e22040468.

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Due to the complexity and variability of underwater acoustic channels, ship-radiated noise (SRN) detected using the passive sonar is prone to be distorted. The entropy-based feature extraction method can improve this situation, to some extent. However, it is impractical to directly extract the entropy feature for the detected SRN signals. In addition, the existing conventional methods have a lack of suitable de-noising processing under the presence of marine environmental noise. To this end, this paper proposes a novel feature extraction method based on enhanced variational mode decomposition

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Kim, Sanghoon, Ho Yeol Yu, and Hyun-Woo Lee. "Motivational determinants of digital ticketing: the mediating effect of service satisfaction and the moderating effect of psychological discomfort." International Journal of Sports Marketing and Sponsorship 23, no. 2 (2021): 326–45. http://dx.doi.org/10.1108/ijsms-12-2020-0239.

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PurposeThe purpose of the study was (1) to examine the motivational composites determining consumers' continued intention to use digital ticketing via self-service technology (SST) by integrating service satisfaction and (2) to ascertain the differences between consumers according to their psychological discomfort toward technology.Design/methodology/approachData were collected using a structured questionnaire, and a total of 323 were included in the analysis. Partial least squares structural equation modeling (PLS-SEM) was utilized to test motivational determinants of digital ticketing. In ad

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Kim, Sanghoon, Ho Yeol Yu, and Hyun-Woo Lee. "Motivational determinants of digital ticketing: the mediating effect of service satisfaction and the moderating effect of psychological discomfort." International Journal of Sports Marketing and Sponsorship 23, no. 2 (2021): 326–45. http://dx.doi.org/10.1108/ijsms-12-2020-0239.

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PurposeThe purpose of the study was (1) to examine the motivational composites determining consumers' continued intention to use digital ticketing via self-service technology (SST) by integrating service satisfaction and (2) to ascertain the differences between consumers according to their psychological discomfort toward technology.Design/methodology/approachData were collected using a structured questionnaire, and a total of 323 were included in the analysis. Partial least squares structural equation modeling (PLS-SEM) was utilized to test motivational determinants of digital ticketing. In ad

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Chen, Zhe, Yaan Li, Renjie Cao, Wasiq Ali, Jing Yu, and Hongtao Liang. "A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy." Entropy 21, no. 6 (2019): 624. http://dx.doi.org/10.3390/e21060624.

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Extracting useful features from ship-radiated noise can improve the performance of passive sonar. The entropy feature is an important supplement to existing technologies for ship classification. However, the existing entropy feature extraction methods for ship-radiated noise are less reliable under noisy conditions because they lack noise reduction procedures or are single-scale based. In order to simultaneously solve these problems, a new feature extraction method is proposed based on improved complementary ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), normalized mutua

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Pang, Suk Min, Yvonne Lee, Aishath Shanasa Shiyam, and Lilian Anthonysamy. "Gender differences in sustainable clothing purchase intention." International Journal of Innovative Research and Scientific Studies 8, no. 2 (2025): 2733–48. https://doi.org/10.53894/ijirss.v8i2.5789.

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Sustainable clothing has been gaining attention worldwide as customers become more aware of the negative impacts of fast fashion on communities and the environment. The present study aims to analyze whether the factors will influence customers’ intention to purchase sustainable clothing and determine whether there is heterogeneity between gender groups in these relationships. A total of 174 respondents participated in the study through a survey link posted on social media. The model was analyzed using permutation tests and bootstrap multi-group analysis. Findings revealed that brand image and

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Mendoza, Tomas, Chia-Hsuan Lee, Chien-Hua Huang, and Tien-Lung Sun. "Random Forest for Automatic Feature Importance Estimation and Selection for Explainable Postural Stability of a Multi-Factor Clinical Test." Sensors 21, no. 17 (2021): 5930. http://dx.doi.org/10.3390/s21175930.

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Falling is a common incident that affects the health of elder adults worldwide. Postural instability is one of the major contributors to this problem. In this study, we propose a supplementary method for measuring postural stability that reduces doctor intervention. We used simple clinical tests, including the timed-up and go test (TUG), short form berg balance scale (SFBBS), and short portable mental status questionnaire (SPMSQ) to measure different factors related to postural stability that have been found to increase the risk of falling. We attached an inertial sensor to the lower back of a

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Zhang, Xuchao, Yifeng Gao, Jessica Lin, and Chang-Tien Lu. "TapNet: Multivariate Time Series Classification with Attentional Prototypical Network." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 6845–52. http://dx.doi.org/10.1609/aaai.v34i04.6165.

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With the advance of sensor technologies, the Multivariate Time Series classification (MTSC) problem, perhaps one of the most essential problems in the time series data mining domain, has continuously received a significant amount of attention in recent decades. Traditional time series classification approaches based on Bag-of-Patterns or Time Series Shapelet have difficulty dealing with the huge amounts of feature candidates generated in high-dimensional multivariate data but have promising performance even when the training set is small. In contrast, deep learning based methods can learn low-

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Xue, Weifeng, Fang Li, Xuemei Li, and Ying Liu. "A Support Vector Machine-Assisted Metabolomics Approach for Non-Targeted Screening of Multi-Class Pesticides and Veterinary Drugs in Maize." Molecules 29, no. 13 (2024): 3026. http://dx.doi.org/10.3390/molecules29133026.

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The contamination risks of plant-derived foods due to the co-existence of pesticides and veterinary drugs (P&VDs) have not been fully understood. With an increasing number of unexpected P&VDs illegally added to foods, it is essential to develop a non-targeted screening method for P&VDs for their comprehensive risk assessment. In this study, a modified support vector machine (SVM)-assisted metabolomics approach by screening eligible variables to represent marker compounds of 124 multi-class P&VDs in maize was developed based on the results of high-performance liquid chromatograp

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Рабійчук, І. О., and А. В. Фечан. "The main challenges of adaptability of swarm intelligence algorithms." Scientific Bulletin of UNFU 34, no. 5 (2024): 97–103. http://dx.doi.org/10.36930/40340513.

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Analyzed three swarm intelligence algorithms, namely Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), Particle Swarm Optimization (PSO) and the adaptability of these algorithms to a dynamic environment. Firstly, the ACO algorithm was analyzed, the behavior of ants in nature, the purpose of the algorithm, and its shortcomings in a dynamic environment. Then the existing modifications of this algorithm to changing environments were investigated, namely AСO with dynamic pheromone updating (AACO), ACO with adaptive memory (ACO-AP), ACO with multi-agent system (MAS-ACO), ACO with machin

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Chakaipa, Absai, Vitalis Basera, Memory Chakaipa, and Phamela Dube. "Measuring Hospitality and Tourism Management Students’ Satisfaction with Work Related Learning Using Partial Least Squares in Zimbabwe." Hospitality & Tourism Review 2, no. 1 (2021): 14–34. http://dx.doi.org/10.38157/hospitality-tourism-review.v2i1.259.

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Purpose: The study assessed Tourism and Hospitality Students’ satisfaction with work-related learning (WRL) attachment using a two-stage extended model proposed by Taylor and Geldenhuys (2019). It also intends to determine if there are significant student satisfaction differences between males and females and between the students pursuing bachelor or diploma in Tourism and hospitality. Also, the study assessed if there is a moderation effect of a third variable (intermediate) on expectation and perception to students’ satisfaction.  Method: Data were collected from 488 students using a s

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Shastri, Vivek M., Jennifer Ahmed, Eva Spin, et al. "Pharmacogenomics to Predict Asparaginase Premedication-Related Hypersensitivity in Pediatric and Adolescent Young Adults (AYAs) with Acute Lymphoblastic Leukemia or Lymphoma." Blood 142, Supplement 1 (2023): 6067. http://dx.doi.org/10.1182/blood-2023-187111.

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Pediatric acute lymphoblastic leukemia (ALL) patients have had significantly improved outcomes over the last few decades with overall survival (OS) rates exceeding 90%. Several factors, including the incorporation of asparaginase therapy in chemotherapy regimens of pediatric and AYA patients with ALL have played a critical role in improving outcomes. Asparaginase is a bacteria-derived enzyme which depletes the non-essential amino acid asparagine and leads to subsequent apoptosis in lymphoblastic leukemia cells. One of the main limitations of the frontline pegaspargase (PEG) chemotherapy is the

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Alabi, Rasheed Omobolaji, Alhadi Almangush, and Antti Mäkitie. "Abstract 7451: Efficacy of chemoradiotherapy in older patients with advanced stage head and neck cancer: A propensity and machine learning analysis." Cancer Research 85, no. 8_Supplement_1 (2025): 7451. https://doi.org/10.1158/1538-7445.am2025-7451.

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Abstract Background: The rising incidence of head and neck squamous cell carcinoma (HNSCC) is linked with both human papillomavirus and aging population. As a result, there is an emerging need for developing management strategies for older patients with advanced-stage HNSCC. This study aims to use machine learning (ML) techniques to examine the efficacy of definitive, concurrent chemoradiotherapy (CRT) for older patients (≥65 years) with stage III-IV HNSCC. We used permutation feature importance (PFI) to compare the efficacy of CRT with single-modality radiotherapy (RT) for the overall surviva

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Steinberg, Martin H., Qianli Ma, Abdullah Kutlar, Lindsay A. Farrer, and Clinton T. Baldwin. "Fetal Hemoglobin in Sickle Cell Anemia: Associations with Single Nucleotide Polymorphisms in Quantitative Trait Loci on Chromsomes 8q12 and Xp22." Blood 108, no. 11 (2006): 1222. http://dx.doi.org/10.1182/blood.v108.11.1222.1222.

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Abstract Fetal hemoglobin (HbF) inhibits the polymerization of sickle hemoglobin modulating some of the subphenotypes of sickle cell anemia. HbF concentrations vary considerably among patients and this variation is regulated as a multigenic trait; some regulatory regions previously identified are linked to the β-globin gene-like cluster and are also within quantitative trait loci (QTL) on chromosomes 6q, 8q and Xp. We genotyped panels of haplotype tagging (ht)SNPs in the β-globin gene-like cluster and covering the 8q and Xp QTL in two independent patient samples and applied two independent ana

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YAN, MU-LIN, and BAO-HENG ZHAO. "QUANTUM INTEGRABLE SYSTEM WITH MULTI-COMPONENTS IN TWO DIMENSIONS." Modern Physics Letters B 16, no. 23n24 (2002): 871–83. http://dx.doi.org/10.1142/s021798490200441x.

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A quantum N-body problem with 2-component in (2 + 1) dimensions deduced from an integrable model in (2 + 1) dimensions is investigated. The Davey–Stewartson 1 (DS1) system9 is an integrable model in two dimensions. A quantum DS1 system with 2 color components in two dimensions has been formulated. This two-dimensional problem has been reduced to two one-dimensional many-body problems with 2 color components. The solutions of the two-dimensional problem under consideration has been constructed from the resulting problems in one dimension. For the latter with δ-function interactions and being so

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Yue, Xiaoqiang, Xiaowen Xu, and Shi Shu. "JASMIN-based Two-dimensional Adaptive Combined Preconditioner for Radiation Diffusion Equations in Inertial Fusion Research." East Asian Journal on Applied Mathematics 7, no. 3 (2017): 495–507. http://dx.doi.org/10.4208/eajam.061116.230417a.

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AbstractWe present a JASMIN-based two-dimensional parallel implementation of an adaptive combined preconditioner for the solution of linear problems arising in the finite volume discretisation of one-group and multi-group radiation diffusion equations. We first propose the attribute of patch-correlation for cells of a two-dimensional monolayer piecewise rectangular structured grid without any suspensions based on the patch hierarchy of JASMIN, classify and reorder these cells via their attributes, and derive the conversion of cell-permutations. Using two cell-permutations, we then construct so

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Hafida, Jaghror, Serieyssol Karen, Beauger Aude, Loukili Khadija, and Fadli Mohamed. "Diatom Diversity and Ecology of the Sebou Watershed (Morocco)." Biolife 5, no. 4 (2022): 564–77. https://doi.org/10.5281/zenodo.7393291.

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<strong>ABSTRACT</strong> This study investigates biodiversity and structure of spring diatoms associations from Sebou Basin, one of Morocco's largest superficial hydrosystems. The physico-chemical results reflect both anthropogenic and natural pollution, mainly from mineral sources. 226 taxa were identified, 92% are pennates. The result of Shannon and equitability indices showed that diatom populations were generally diversified, which depends on degree of specific richness at each station. Thus, the higher number of taxa in site Og (120 species) reflects an ecologically more stable and m

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Atkinson, Samantha N., Katelyn E. Sadler, Janelle Highland, et al. "Individuals with Sickle Cell Disease Have Decreased Intestinal Microbial Diversity Compared to Healthy Related and Unrelated Black Individuals without Sickle Cell Disease." Blood 144, Supplement 1 (2024): 3893. https://doi.org/10.1182/blood-2024-211779.

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Alterations in the intestinal microbiota (dysbiosis) are a known driver of chronic inflammation. Dysbiosis leads to a “leaky” intestinal barrier triggering bacterial translocation into the blood, recurrent systemic microbial antigen exposure, and subsequent chronic inflammation. Dysbiosis plays a role in many chronic inflammatory and immune-mediated disorders, however, this process has been minimally explored in sickle cell disease (SCD). Individuals with SCD have disease-related risk factors for dysbiosis such as daily prophylactic antibiotics started in infancy, recurrent opioid therapy, and

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Osman, Mohamed, and Khaled El-Wazan. "Efficient Designs of Quantum Adder/Subtractor Using Universal Reversible Gate on IBM Q." Symmetry 13, no. 10 (2021): 1842. http://dx.doi.org/10.3390/sym13101842.

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Reversible arithmetic and logic unit (ALU) is a necessary part of quantum computing. In this work, we present improved designs of reversible half and full addition and subtraction circuits. The proposed designs are based on a universal one type gate (G gate library). The G gate library can generate all possible permutations of the symmetric group. The presented designs are multi-function circuits that are capable of performing additional logical operations. We achieve a reduction in the quantum cost, gate count, number of constant inputs, and delay with zero garbage, compared to relevant resul

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El-Nahal, Fady. "Coherent 16 Quadrature Amplitude Modulation (16QAM) Optical Communication Systems." Photonics Letters of Poland 10, no. 2 (2018): 57. http://dx.doi.org/10.4302/plp.v10i2.809.

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Coherent optical fiber communications for data rates of 100Gbit/s and beyond have recently been studied extensively primarily because high sensitivity of coherent receivers could extend the transmission distance. Spectrally efficient modulation techniques such as M-ary quadrature amplitude modulation (M-QAM) can be employed for coherent optical links. The integration of multi-level modulation formats based on coherent technologies with wavelength-division multiplexed (WDM) systems is key to meet the aggregate bandwidth demand. This paper reviews coherent 16 quadrature amplitude modulation (16Q

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Pigoni, Alessandro, Dominic Dwyer, Letizia Squarcina, et al. "M167. MACHINE LEARNING CLASSIFICATION OF FIRST-EPISODE PSYCHOSIS USING CORTICAL THICKNESS IN A LARGE MULTICENTER MRI STUDY." Schizophrenia Bulletin 46, Supplement_1 (2020): S200. http://dx.doi.org/10.1093/schbul/sbaa030.479.

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Abstract Background Machine learning classifications of first-episode psychosis (FEP) using neuroimaging have predominantly analyzed brain volumes. Some studies examined cortical thickness data, but most of them have used parcellation approaches with data from single sites, which limits claims of generalizability. To address these limitations, we conducted a large-scale, multi-site analysis of cortical thickness comparing parcellations and vertex-wise approaches. By leveraging the multi-site nature of the study, we further investigated how different demographical and site-dependent variables a

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Agrusa, Jennifer, Elmoataz A. Abdel Fattah, Howard Lin, et al. "Comprehensive Cell Specific Transcriptome Profiling of a Pediatric Hodgkin Lymphoma Cohort." Blood 134, Supplement_1 (2019): 2773. http://dx.doi.org/10.1182/blood-2019-125982.

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Introduction: Pathogenic Hodgkin Reed-Sternberg (HRS) cells constitute approximately 1% of Hodgkin lymphoma (HL) tumor cells. Studies characterizing genomic lesions and gene expression of HRS gene cells have been limited due to technical challenges of studying these rare cells, and the majority of existing data has focused on adult HL. We therefore developed a multi-parameter flow sorting strategy to isolate viable cells from pediatric HL tumors and to define the transcriptomes of HRS cells and infiltrating lymphocytes in order to inform underlying mechanisms of HL pathogenesis and also create

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Qiu, Zhengyuan, Dalin Zhang, Fernando Jose Garcia-Marques, et al. "Identification of Molecular Subtypes of Clear-Cell Renal Cell Carcinoma in Patient-Derived Xenografts Using Multi-Omics." Cancers 17, no. 8 (2025): 1361. https://doi.org/10.3390/cancers17081361.

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Background/Objectives: Clear-cell renal cell carcinoma (ccRCC) is a heterogenous disease that can be classified into multiple molecular subtypes with differential prognosis and sensitivities to treatments based on their genomic, transcriptomic, proteomic, and metabolic profiles. Patient-derived xenografts (PDXs) are high-fidelity cancer models because they maintain similar genotypes and immunohistologic phenotypes to the parental tumors and respond to standard-of-care therapies as expected. However, whether the molecular subtypes identified in ccRCC patient samples are preserved in PDX models

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Gondek, Lukasz P., Marcin W. Wlodarski, Zachary P. Nearman, et al. "High-Density SNP Arrays Reveals the Possible Presence of Multi-Loci Genetic Predisposition for Myelodysplastic Syndromes (MDS)." Blood 108, no. 11 (2006): 2643. http://dx.doi.org/10.1182/blood.v108.11.2643.2643.

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Abstract Complex genetic non-Mendelian traits may be responsible for the predisposition to many conditions. MDS likely evolves as a result of the interaction between environmental agents and genetic background. Examples of genetic factors that could affect the risk for the development of MDS or influence its course include immunogenetic factors, polymorphisms of detoxifying enzymes, proteins of DNA repair machinery and senescence-associated genes. Analysis of the complex interactions between a multitude of gene variants and disease phenotypes is difficult and empiric approaches have little cha

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Aubry, Jean-Francois, Oscar Bates, Christian Boehm, et al. "Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models." Journal of the Acoustical Society of America 152, no. 2 (2022): 1003–19. http://dx.doi.org/10.1121/10.0013426.

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Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar b

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Tang, Fenghua, Wenxuan Quan, Chaochan Li, et al. "Effects of Small Gaps on the Relationship Among Soil Properties, Topography, and Plant Species in Subtropical Rhododendron Secondary Forest, Southwest China." International Journal of Environmental Research and Public Health 16, no. 11 (2019): 1919. http://dx.doi.org/10.3390/ijerph16111919.

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Background: The secondary forests have become the major forest type worldwide, and forest gap was also a common small disturbance in secondary forests. We aimed to analyze the effects of small gap disturbance on the plant species richness of subtropical secondary forest with natural regeneration barriers and examine the relationship between soil topography and plant species in a subtropical Rhododendron secondary forest of the Baili Rhododendron National Nature Reserve. Methods: The major plant species and soil topography gradient factors of the small gaps and closed canopy (control group) wer

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Temme, F. P. "Geodesic and re–coupling–induced limits to S 2 n group invariants of uniform ( k 1 ⋯ k 2 n ) dual tensorial sets in spin physics, or NMR: SR dynamical structure on {ℍ v } via polyhedral re–coupling and time–reversal invariance". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 461, № 2054 (2005): 321–46. http://dx.doi.org/10.1098/rspa.2004.1323.

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For S n –based, uniform auxiliary dual tensorial (UDT) sets, explicitly with even maximal all–alike j i ( k i ) over v ≡ ( j 1 ⋯ j 2 n ), or ( k 1 ⋯ k 2 n ), sub–rank auxiliary labelling, the specific time–reversal invariance–dependent dual group invariants and their independent cardinalities (| SI | (2 n ) ) are fundamental to understanding simply reducible (SR) dynamical spin system structure over (Liouvillian) carrier space, a quantum physics property implicit in dual quasi–particle (QP) formalisms associated with, for example, uniform identical multiple spin NMR systems . Such UDT sets sta

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Linfan, Mao. "Actions of Multi-groups on Finite Sets." August 6, 2008. https://doi.org/10.5281/zenodo.823523.

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Classifying objects needs permutation groups in mathematics. Similarly, consideration should be also done for actions of multi-groups, i.e., permutation multi-groups. In this paper, we consider the action of multi-groups on a finite multi-set, its orbits, multitransitive, primitive, etc.

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Bagno, Eli, Ayelet Butman, and David Garber. "Statistics on the Multi-Colored Permutation Groups." Electronic Journal of Combinatorics 14, no. 1 (2007). http://dx.doi.org/10.37236/942.

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We define an excedance number for the multi-colored permutation group i.e. the wreath product $({\Bbb Z}_{r_1} \times \cdots \times {\Bbb Z}_{r_k}) \wr S_n$ and calculate its multi-distribution with some natural parameters. We also compute the multi–distribution of the parameters exc$(\pi)$ and fix$(\pi)$ over the sets of involutions in the multi-colored permutation group. Using this, we count the number of involutions in this group having a fixed number of excedances and absolute fixed points.

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Tang, Xiaoyu, Timothy Heeren, Philip M. Westgate, et al. "Performance of model-based vs. permutation tests in the HEALing (Helping to End Addiction Long-termSM) Communities Study, a covariate-constrained cluster randomized trial." Trials 23, no. 1 (2022). http://dx.doi.org/10.1186/s13063-022-06708-9.

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Abstract Background The HEALing (Helping to End Addiction Long-termSM) Communities Study (HCS) is a multi-site parallel group cluster randomized wait-list comparison trial designed to evaluate the effect of the Communities That Heal (CTH) intervention compared to usual care on opioid overdose deaths. Covariate-constrained randomization (CCR) was applied to balance the community-level baseline covariates in the HCS. The purpose of this paper is to evaluate the performance of model-based tests and permutation tests in the HCS setting. We conducted a simulation study to evaluate type I error rate

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Liu, Haoyan, Lokhman Hakim Osman, Ahmad Raflis Che Omar, and Nadzirah Rosli. "Factors Influencing Blockchain Adoption in Agricultural Supply Chains: Insights from Agricultural Firms and Insurers." International Journal of High Speed Electronics and Systems, July 5, 2025. https://doi.org/10.1142/s0129156425407417.

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This study aims to investigate the factors influencing blockchain adoption in agricultural supply chains by comparing the perspectives of two key stakeholders: agricultural insurance companies and insured agricultural organizations. Anchored in the Institutional theory and Technology Acceptance Model (TAM), it categorizes external environmental variables into policy support and market dynamics, while introducing perceived cost as a moderating factor, to assess the path relationships among these variables concerning blockchain adoption intention. The findings reveal that both policy support and

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Gadde, Abhijit, Vineeth Krishna, and Trakshu Sharma. "Towards a classification of holographic multi-partite entanglement measures." Journal of High Energy Physics 2023, no. 8 (2023). http://dx.doi.org/10.1007/jhep08(2023)202.

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Abstract In this paper, we systematically study the measures of multi-partite entanglement with the aim of constructing those measures that can be computed in probe approximation in the holographic dual. We classify and count general measures as invariants of local unitary transformations. After formulating these measures in terms of permutation group elements, we derive conditions that a probe measure should satisfy and find a large class of solutions. These solutions are generalizations of the multi-entropy introduced in [1]. We derive their holographic dual with the assumption that the repl

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