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32101
A’joot : Ethics, Rights and Values Spoken from the Stomach and Heart
Published 2025-01-01“…First, it describes the notions that are generally understood only from a Euro-Western view and position, which has created a universalising list of rights, reproducing paternalising and vertical power relations. …”
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32102
Improved Security Patch on Secure Communication among Cell Phones and Sensor Networks
Published 2013-04-01“…The communication between cell phones and sensor networks involves strong user authentication protocols to ensure the data and network security. Generally, in order to obtain the relevant information, cell phones interact with sensor networks via gateways. …”
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32103
A sustainable HazMat logistic network design considering scale of economy and route sensitivity and solving with Hybrid GA-SA
Published 2024-09-01“…Additionally, the effect of demand on the objective function generally increases, although there are instances where it decreases.…”
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32104
Achieving employee engagement through effective internal communication
Published 2022-06-01“…Previous research (Albrecht, 2010; Andrew & Sofian, 2012; Hayase, 2009; Mamdoo, 2012; Markos & Sridevi, 2010; Meng & Berger, 2012; Ruck & Welch, 2012; Welch & Jackson, 2007; Welch, 2011) has linked this process to employee engagement, which generally refers to “a positive fulfilling, work-related state of mind that is characterised by vigour, dedication and absorption.” …”
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32105
Professional competence assessment of dispensary pharmacy technician. A methodological strategy.
Published 2008-08-01“…<strong><br />Conclusions:</strong> Proposed methodology has characteristics that allow it being applied and generalized to every working field within Dispensary Pharmacy and other technical specialities. …”
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32106
METHOD FOR FMD VIRUS 146S COMPONENT CONCENTRATION DETERMINATION WITH REAL-TIME REVERSE TRANSCRIPTION – POLYMERASE CHAIN REACTION IN VACCINE RAW MATERIALS
Published 2018-07-01“…It has been experimentally proven that the quantity of the 146S component determined by the real-time RT-PCR method using developed regression model and contained in the inoculation dose of FMD vaccine confers protection to the vaccinated animals against generalized FMD of A, O, Asia-1 types. rtRT-PCR method is highly sensitive and allows rapid and highly reliable estimation of the 146S antigen concentration in FMD vaccine. …”
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32107
Entre las expectativas y la desmoralización
Published 2017-07-01“…En esta línea, interesa indagar el modo en que la Cámara fue posicionándose y negociando frente a la batería de políticas de la última dictadura, y en qué medida estos posicionamientos dieron cuenta de las demandas y necesidades más generales del sector durante el período. …”
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32108
A Critique on the Book The Quran and Hadith’s Manifestation in Persian Poetry
Published 2021-11-01“…Failing to refer and cite reliable references in defining the terms, ambiguity, generalization, paradox, the plurality of titles, lack of correspondence with the purposes and the approved educational curriculum, lack of desirable and effective preface, necessity to take updated criteria into account, no benefit and comprehensiveness in compiling the materials along with some weaknesses in form and structure are some of the points which need to be revised and modified in this book.…”
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32109
Effective of Nonextraction Orthodontic Treatment of Angle Class I Malocclusion: A Nonrandomized Pre–post Interventional Study
Published 2024-12-01“…For cases of minor malocclusion and generally symmetrical characteristics, nonextraction orthodontics was recommended.…”
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32110
An Analytical Solution for Predicting the Vibration-Fatigue-Life in Bimodal Random Processes
Published 2017-01-01“…Frequency methods are generally adopted to deal with this problem. This paper focuses on bimodal spectra methods, including Jiao-Moan method, Fu-Cebon method, and Modified Fu-Cebon method. …”
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32111
Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing
Published 2025-01-01“…This method narrows the intra-class sample distribution and improves class separability, preventing the model from learning excessive irrelevant information and enhancing the robustness and generalization of face anti-spoofing. We test our method on the CASIA SURF dataset, CASIA SURF-CeFA dataset, and CASIA FASD dataset, which shows that our method has significant advantages in distinguishing between live and spoofed faces.…”
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32112
Embodied neuromorphic synergy for lighting-robust machine vision to see in extreme bright
Published 2024-12-01“…Our experimental results demonstrate the remarkable efficiency, low latency, superior generalization capability, and bio-inspired nature of the NEC in delivering timely and robust neuromorphic synergy for lighting-robust machine vision across a wide range of real-world applications. …”
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32113
Targeting multiple cancers: exploring the potential role of stem cells in treating 10 distinct types
Published 2024-12-01“…Cancer remains a global health crisis responsible for one in six deaths worldwide and is characterized by uncontrolled cell growth, metastasis, and a generalized loss of growth control. Traditional cancer treatments, including surgery, radiation, and chemotherapy, have limitations, such as damaging healthy cells and tissues, and are often associated with cancer recurrence and metastasis. …”
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32114
On Particle Swarm Optimization for MIMO Channel Estimation
Published 2012-01-01“…In this paper, an overview of the original PSO is given as well as improvements that are generally applicable. An extension of PSO termed cooperative PSO (CPSO) is applied for MIMO channel estimation, providing faster convergence and, thus, lower overall complexity. …”
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32115
Political economy of televangelism:
Published 2022-11-01“… Mass media practices are generally of a "top down' nature. Messages manufactured by media institutions favour dominant perspectives. …”
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32116
Weakly supervised semantic segmentation and optimization algorithm based on multi-scale feature model
Published 2019-01-01“…In order to improve the accuracy of weakly-supervised semantic segmentation method,a segmentation and optimization algorithm that combines multi-scale feature was proposed.The new algorithm firstly constructs a multi-scale feature model based on transfer learning algorithm.In addition,a new classifier was introduced for category prediction to reduce the failure of segmentation due to the prediction of target class information errors.Then the designed multi-scale model was fused with the original transfer learning model by different weights to enhance the generalization performance of the model.Finally,the predictions class credibility was added to adjust the credibility of the corresponding class of pixels in the segmentation map,avoiding false positive segmentation regions.The proposed algorithm was tested on the challenging VOC 2012 dataset,the mean intersection-over-union is 58.8% on validation dataset and 57.5% on test dataset.It outperforms the original transfer-learning algorithm by 12.9% and 12.3%.And it performs favorably against other segmentation methods using weakly-supervised information based on category labels as well.…”
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32117
Narrowing the semantic gap in virtual machine introspection
Published 2015-08-01“…Virtual machine introspection(VMI)has been widely used in areas such as intrusion detection and malware analysis.However,due to the existence of semantic gap,the generality and the efficiency of VMI were partly influenced while getting internal information of a virtual machine.By analyzing the deficiencies of existing technology of semantic gap restoration,a method called ModSG was proposed to bridge the semantic gap.ModSG was a modularity system,it divided semantic restoration into two parts.One was online phase that interact directly with user to construct semantic views,the other was offline phase that only interact with operating system to parse high-level semantic knowledge.Both were implemented via independent module,and the latter provided the former with necessary kernel information during semantic view construction.Experiments on different virtual machine states and different kernel versions show that the ModSG is accurate and efficient in narrowing semantic gap.The modular design and deployment also make ModSG easily to be extended to other operating systems and virtualization platforms.…”
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32118
Multi-feature fusion classification method for communication specific emitter identification
Published 2021-02-01“…A multi-feature fusion classification method based on multi-channel transform projection, integrated deep learning and generative adversarial network (GAN) was proposed for communication specific emitter identification.First, three-dimensional feature images were obtained by performing various transformations, the time and frequency domain projection of the signal was constructed to construct the feature datasets.GAN was used to expand the datasets.Then, a two-stage recognition and classification method based on multi-feature fusion was designed.Deep neural networks were used to learn the three feature datasets, and the initial classification results were obtained.Finally, through fusion and re-learning of the initial classification result, the final classification result was obtained.Based on the measurement and analysis of the actual signals, the experimental results show that the method has higher accuracy than the single feature extraction method.The multipath fading channel has been used to simulate the outdoor propagation environment, and the method has certain generalization performance to adapt to the complex wireless channel environments.…”
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32119
Experimental Study on the Impact of Landslide-Generated Waves against Wharf Pile
Published 2020-01-01“…This experimental study was conducted in a generalized 3D basin to simulate the waves generating process and explore the impact of the dynamic pressure process on the wharf pile. …”
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32120
Model Modification of the Mill Transmission System Based on the PSO-BP Neural Network
Published 2024-02-01“…This method approximates the nonlinear mapping relationship between the two by improving the back propagation (BP) neural network, combines with the actual structural response, and uses the generalization property of the neural network to obtain the numerical value of the model design parameters. …”
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