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Journal articles on the topic 'Bayes fusion rule'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Ibrahim, Ahmed Saleh, Ibrahim Alsaif Omar, and A. Yahya Maan. "Optimal distributed decision in wireless sensor network using gray wolf optimization." International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 646–54. https://doi.org/10.11591/ijai.v9.i4.pp646-654.

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The distributed object decision (DOD) was applied to choose a single solution for problem among many complexes solutions. Most of DOD systems depend on traditional technique like small form factor optical (SFFO) method and scalable and oriented fast-based local features (SOFF) method. These two methods were statistically complex and depended to an initial value. In this paper proposed new optimal technical called gray wolf optimization (GWO) which is used to determine threshold of sensor decision rules from fusion center. The new algorithm gave better performance for fusion rule than numerical

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Saleh, Ibrahim Ahmed, Omar Ibrahim Alsaif, and Maan A. Yahya. "Optimal distributed decision in wireless sensor network using gray wolf optimization." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 646. http://dx.doi.org/10.11591/ijai.v9.i4.pp646-654.

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<p class="Default">The distributed object decision (DOD) was applied to choose a single solution for problem among many complexes solutions. Most of DOD systems depend on traditional technique like small form factor optical (SFFO) method and scalable and oriented fast-based local features (SOFF) method. These two methods were statistically complex and depended to an initial value. In this paper proposed new optimal technical called gray wolf optimization (GWO) which is used to determine threshold of sensor decision rules from fusion center. The new algorithm gave better performance for f

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Dong, Xiangxiang, Luigi Chisci, and Yunze Cai. "An Adaptive Filter for Nonlinear Multi-Sensor Systems with Heavy-Tailed Noise." Sensors 20, no. 23 (2020): 6757. http://dx.doi.org/10.3390/s20236757.

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Aiming towards state estimation and information fusion for nonlinear systems with heavy-tailed measurement noise, a variational Bayesian Student’s t-based cubature information filter (VBST-CIF) is designed. Furthermore, a multi-sensor variational Bayesian Student’s t-based cubature information feedback fusion (VBST-CIFF) algorithm is also derived. In the proposed VBST-CIF, the spherical-radial cubature (SRC) rule is embedded into the variational Bayes (VB) method for a joint estimation of states and scale matrix, degree-of-freedom (DOF) parameter, as well as an auxiliary parameter in the nonli

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Hou, Yuan Bin, Mao Quan Zheng, Xin Zhao Wang, and Ya Li Xue. "The Belt Conveyor Control of Large Dip Angle by FMBTES." Advanced Materials Research 905 (April 2014): 452–58. http://dx.doi.org/10.4028/www.scientific.net/amr.905.452.

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Based on the analysis of dynamic characteristics of the belt conveyor with the long distance and the large dip angle in coal mine, a kind fusion method of Bayes theory and expert system (FMBTES) is proposed which is control method with the change regular of the start process. First, the structure and dynamics model are established for belt conveyor, the priori distributions of the system implementation state is supposed, the conditional probability of dynamics state is made using Bayes theory, next, the change regular of the start process pull force is found, and the change regular of the dyna

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Zhu, Wenjing, Shoufeng Shen, and Zhijun Zhang. "Improved Multiclassification of Schizophrenia Based on Xgboost and Information Fusion for Small Datasets." Computational and Mathematical Methods in Medicine 2022 (July 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/1581958.

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To improve the performance in multiclass classification for small datasets, a new approach for schizophrenic classification is proposed in the present study. Firstly, the Xgboost classifier is introduced to discriminate the two subtypes of schizophrenia from health controls by analyzing the functional magnetic resonance imaging (fMRI) data, while the gray matter volume (GMV) and amplitude of low-frequency fluctuations (ALFF) are extracted as the features of classifiers. Then, the D-S combination rule of evidence is used to achieve fusion to determine the basic probability assignment based on t

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Mourad, Moussa. "An iterative algorithm for color space optimization on image segmentation." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 1 (2021): pp. 199~205. https://doi.org/10.12928/TELKOMNIKA.v19i1.15122.

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This paper proposes, a novel hybrid color component (HCC) issued from amounts number of color space with iterative manner, in fact traditional images obtained by RGB sensor weren’t the effective way in image processing applications, for this purpose we have propose a supervised algorithm to substitute RGB level by hybrid and suitable color space at the aim to make well representation of the handled amounts of data, this step is extremely important because the obtained results it will be injected in many future studies like tracking, classification, steganography and cryptography. The sec

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Mostafiz, Rafid, Mohammad Rahman, A. Islam, and Saeid Belkasim. "Focal Liver Lesion Detection in Ultrasound Image Using Deep Feature Fusions and Super Resolution." Machine Learning and Knowledge Extraction 2, no. 3 (2020): 172–91. http://dx.doi.org/10.3390/make2030010.

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This research presents a machine vision approach to detect lesions in liver ultrasound as well as resolving some issues in ultrasound such as artifacts, speckle noise, and blurring effect. The anisotropic diffusion is modified using the edge preservation conditions which found better than traditional ones in quantitative evolution. To dig for more potential information, a learnable super-resolution (SR) is embedded into the deep CNN. The feature is fused using Gabor Wavelet Transform (GWT) and Local Binary Pattern (LBP) with a pre-trained deep CNN model. Moreover, we propose a Bayes rule-based

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Lian, Feng, Liming Hou, Jing Liu та Chongzhao Han. "Constrained Multi-Sensor Control Using a Multi-Target MSE Bound and a δ-GLMB Filter". Sensors 18, № 7 (2018): 2308. http://dx.doi.org/10.3390/s18072308.

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The existing multi-sensor control algorithms for multi-target tracking (MTT) within the random finite set (RFS) framework are all based on the distributed processing architecture, so the rule of generalized covariance intersection (GCI) has to be used to obtain the multi-sensor posterior density. However, there has still been no reliable basis for setting the normalized fusion weight of each sensor in GCI until now. Therefore, to avoid the GCI rule, the paper proposes a new constrained multi-sensor control algorithm based on the centralized processing architecture. A multi-target mean-square e

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Schmidt-Richberg, A., J. Fiehler, T. Illies, et al. "Fuzzy-based Vascular Structure Enhancement in Time-of-Flight MRA Images for Improved Segmentation." Methods of Information in Medicine 50, no. 01 (2011): 74–83. http://dx.doi.org/10.3414/me10-02-0003.

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Summary Objectives: Cerebral vascular malformations might lead to strokes due to occurrence of ruptures. The rupture risk is highly related to the individual vascular anatomy. The 3D Time-of-Flight (TOF) MRA technique is a commonly used non-invasive imaging technique for exploration of the vascular anatomy. Several clinical applications require exact cerebrovascular segmentations from this image sequence. For this purpose, intensity-based segmentation approaches are widely used. Since small low-contrast vessels are often not detected, vesselness filter-based segmentation schemes have been prop

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Hu, Xue Hai, Hou Jun Wang, Dai Rong Ren, and Cheng Gong. "Optimization of Distributed Systems' Fusion Based on Climb-Ant Algorithm." Applied Mechanics and Materials 483 (December 2013): 524–28. http://dx.doi.org/10.4028/www.scientific.net/amm.483.524.

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This paper proposes an optimization algorithm which combines climb algorithm and ant algorithm and use it to solve optimization problems of fusion rules in distributed detection systems .Firstly, algorithm takes Bayes risk as the cost function, uses Climb-ant algorithm to optimize the sensors' decision threshold and Bayes criteria to solve the fusion rules of fusion center. Ultimately, we get the system's optimal (or suboptimal) fusion rules and realize the optimization of fusion rules in distributed detection system. Theoretical analysis and experimental results show that the new method has h

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Li, Naiyi, Yongming Li, and Juan Huang. "Empirical Bayes Likelihood for Exponential Distribution Family under Ranked Set Sampling and Dependent Data." Academic Journal of Science and Technology 13, no. 1 (2024): 207–9. http://dx.doi.org/10.54097/4vj4sr10.

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In this paper, we get the empirical Bayes likelihood test rules for Exponential distribution based on ranked set sampling. Its asymptotic optimality is obtained. Due to the advantages of combining empirical Bayesian methods with prior information of samples, the accuracy of statistical inference can be improved. Therefore, the fusion of empirical Bayesian likelihood methods can further enhance the estimation methods of statistical models.

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Lou, Wen, Ruofan Pi, Hui Wang, and Yuan Ju. "Low-cost similarity calculation on ontology fusion in knowledge bases." Journal of Information Science 46, no. 6 (2019): 823–36. http://dx.doi.org/10.1177/0165551519870456.

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Ontology fusion in knowledge bases has become less easy, due to the massive capacity involved in the process of semantic similarity calculation. Many similarity calculation methods have been developed, although they are hardly united. This article contributes a low-cost similarity calculation method for ontology fusion, based on the inspiration of binary metrics, with the aim of reducing the size of similarity calculations both spatially and logically. By introducing the definitions of a heterogeneous ontology, entities of ontologies and rules of ontology fusion on the basis of concept fusion

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HANSON, MARK L., PAUL G. GONSALVES, JESSICA TSE, and RACHEL GREY. "AUTOMATED DATA FUSION AND SITUATION ASSESSMENT IN SPACE SYSTEMS." International Journal on Artificial Intelligence Tools 13, no. 01 (2004): 255–71. http://dx.doi.org/10.1142/s021821300400151x.

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Space systems are an important part of everyday life. They provide global positioning data, communications, and Earth science data such as weather information. All space systems require satellite operators to ensure high performance and continuous operations in the presence of off-nominal conditions due to space weather and onboard anomalies. Similar to other high-stress, time critical operations (e.g., piloting an aircraft or operating a nuclear power plant), situation awareness is a crucial factor in operator performance during these conditions. Because situation awareness is largely acquire

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Aftab, Shabib, Sagheer Abbas, Taher M. Ghazal, et al. "A Cloud-Based Software Defect Prediction System Using Data and Decision-Level Machine Learning Fusion." Mathematics 11, no. 3 (2023): 632. http://dx.doi.org/10.3390/math11030632.

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This research contributes an intelligent cloud-based software defect prediction system using data and decision-level machine learning fusion techniques. The proposed system detects the defective modules using a two-step prediction method. In the first step, the prediction is performed using three supervised machine learning techniques, including naïve Bayes, artificial neural network, and decision tree. These classification techniques are iteratively tuned until the maximum accuracy is achieved. In the second step, the final prediction is performed by fusing the accuracy of the used classifier

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Li, Beibei, and Zhi Zhou. "Application of Multisource Data Fusion Analysis in College Vocal Music Teaching." Scientific Programming 2022 (April 15, 2022): 1–11. http://dx.doi.org/10.1155/2022/9483254.

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This paper constructs a two-level data fusion model with the classroom environment monitoring background of colleges and universities. By judging the validity of the data received by each sensor, the model eliminates the influence of neglected monitoring values on fusion accuracy. It uses the adaptive weighted average method to fuse the data of the same type of sensors in each area and then uses the BP neural network to fuse the heterogeneous sensor data in the area. After each region sends the fusion result to the gateway node, the second-level fusion is performed. In the second-level fusion,

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Wang, Fei, Yujie Yang, Jingchun Zhou, and Weishi Zhang. "An Onboard Point Cloud Semantic Segmentation System for Robotic Platforms." Machines 11, no. 5 (2023): 571. http://dx.doi.org/10.3390/machines11050571.

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Point clouds represent an important way for robots to perceive their environments, and can be acquired by mobile robots with LiDAR sensors or underwater robots with sonar sensors. Hence, real-time semantic segmentation of point clouds with onboard edge devices is essential for robots to apprehend their surroundings. In this paper, we propose an onboard point cloud semantic segmentation system for robotic platforms to overcome the conflict between attaining high accuracy of segmentation results and the limited available computational resources of onboard devices. Our system takes raw a sequence

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Pichardo, Janine D., Julie T. Feldstein, Maria Arcila, et al. "A Comprehensive Clinical Next Generation Sequencing-Based Assay Can Impact Hematopathologic Diagnosis in a Significant Subset of Patients with Hematologic Malignancies." Blood 124, no. 21 (2014): 2984. http://dx.doi.org/10.1182/blood.v124.21.2984.2984.

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Abstract High throughput genomic studies have identified novel recurrent somatic alterations with prognostic or therapeutic relevance in hematological malignancies. By contrast, few studies have investigated the impact on pathologic assessment, and clinicopathologic diagnosis. We therefore assessed the impact of a CLIA-certified CAP-accredited comprehensive clinical grade next-generation sequencing-based assay, FoundationOne Heme (FOH), on hematopathologic assessment of patients at our institution. The FOH assay targets 405 cancer-related genes and 31 frequently rearranged genes by DNA-capture

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18

Dr., K. Sravana Kumar. "MIDDLE CLASS MOVEMENTS." International Journal of Multidisciplinary Research and Modern Education 2, no. 2 (2016): 59–66. https://doi.org/10.5281/zenodo.61810.

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            The middle class is placed between labour and capital. It neither directly awns the means of production that pumps out the surplus generated by wage labour power, nor does it, by its own labour, produce the surplus which has use and exchange value. Broadly speaking, this class consists of the petty bourgeoisie and the white-collar workers. The former are either self-employed or involved in the distribution of commodities and the latter are non-manual office workers, supervisors and professionals. Thus, in terms of occupation, s

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19

Jean, Dezert, Tchamova Albena, Han Deqiang, and Tacnet Jean-Marc. "Why Dempster’s Fusion Rule is not a Generalization of Bayes Fusion Rule." July 1, 2015. https://doi.org/10.5281/zenodo.22676.

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In this paper, we analyze Bayes fusion rule in details from a fusion standpoint, as well as the emblematic Dempster’s rule of combination introduced by Shafer in his Mathematical Theory of evidence based on belief functions. We propose a new interesting formulation of Bayes rule and point out some of its properties. A deep analysis of the compatibility of Dempster’s fusion rule with Bayes fusion rule is done. We show that Dempster’s rule is compatible with Bayes fusion rule only in the very particular case where the basic belief assignments (bba&

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Jean, Dezert, Tchamova Albena, Han Deqiang, and Tacnet Jean-Marc. "Why Dempster’s Rule doesn’t behave as Bayes rule with Informative Priors." July 1, 2015. https://doi.org/10.5281/zenodo.22447.

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In this paper, we analyze Bayes fusion rule in details from a fusion standpoint, as well as the emblematic Dempster’s rule of combination introduced by Shafer in his Mathematical Theory of evidence based on belief functions. We propose a new interesting formulation of Bayes rule and point out some of its properties. A deep analysis of the compatibility of Dempster’s fusion rule with Bayes fusion rule is done. Our analysis proves clearly that Dempster’s rule of combination does not behave as Bayes fusion rule in general, because these me

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Golino, G., A. Graziano, A. Farina, W. Mellano, and F. Ciaramaglia. "Comparison of Identity Fusion Algorithms Using Estimations of Confusion Matrices." July 1, 2015. https://doi.org/10.5281/zenodo.22445.

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Scope of this paper is to investigate the performances of different identity declaration fusion algorithms in terms of probability of correct classification, supposing that the information for combination of the inferences from the different classifier is affected by measurement errors. In particular, these information have been assumed to be provided in the form of confusion matrices. Six identity fusion algorithms from literature with different complexity have been included in the comparison: heuristic methods such as voting and Borda Count, Bayes&rsqu

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22

Sabour, Adel, Abdeltawab Hendawi, and Mohamed Ali. "DIACRITIC-AWARE ALIGNMENT AND CLASSIFICATION IN ARABIC SPEECH: A FUSION OF FUZTPI AND ML MODELS." JISTech (Journal of Islamic Science and Technology) 8, no. 2 (2023). http://dx.doi.org/10.30829/jistech.v8i2.17951.

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This paper presents the Quran Speech Recognition (QRSR) system, achieving alignment and classification accuracies up to 96%. The system is designed to advance Arabic Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) by focusing on the Arabic diacritic-annotated text. We address the limitations of existing Arabic ASR systems and introduce the Fuzzy Text Alignment and Rule-based Classifier (FTARC) for segmenting audio files and aligning text. The FuzTPI algorithm is integrated with Machine Learning models like Na¨ıve Bayes, Support Vector Machine, and Random Forest. This research aims

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Wu, Jun, Mingkun Su, Jianrong Bao, et al. "Sequential detection with feedback information for two‐way cooperative spectrum sensing in cognitive internet of things." Transactions on Emerging Telecommunications Technologies 35, no. 8 (2024). http://dx.doi.org/10.1002/ett.5023.

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AbstractWith the rapid growth of internet of thing (IoT) devices, cooperative spectrum sensing (CSS) has emerged as a promising solution to leverage the spatial diversity of multiple secondary IoT sensing nodes (SNs) for spectrum availability. However, the cooperative paradigm also incurs increased cooperative costs between each SN and the fusion center (FC), leading to decreased cooperative efficiency and achievable throughput, especially in large‐scale cognitive IoT (CIoT). To address these challenges, we present a sequential detection with feedback information (SD‐FI) approach in this paper

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Cai, Chang, Zhengyi Jiang, Hui Wu, Junsheng Wang, Jiawei Liu, and Lei Song. "Research on knowledge graph-driven equipment fault diagnosis method for intelligent manufacturing." International Journal of Advanced Manufacturing Technology, January 18, 2024. http://dx.doi.org/10.1007/s00170-024-12998-x.

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AbstractIn the process of rotating machinery fault diagnosis (RMFD), the lack of feature conditions leads to the problem of low accuracy of traditional rule-based reasoning methods FD. This paper proposed a knowledge graph (KG)-driven device FD method and applied it to RMFD. First, we proposed a multi-level KG construction method to get multi-source data based on each level and analyzed the levels that affected the system state. A single-level KG was constructed through data features, and a multilevel KG with a stereostructure was built using a multi-source data fusion model as data support fo

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Jean, Dezert, Tchamova Albena, Han Deqiang, and Tacnet Jean-Marc. "Can we trust subjective logic for information fusion?" July 1, 2015. https://doi.org/10.5281/zenodo.22865.

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In this paper, we provide a deep examination of the main bases of Subjective Logic (SL) and reveal serious problems with them. A new interesting alternative way for building a normal coarsened basic belief assignment from a refined one is also proposed. The defects in the SL fusion rule and the problems in the link between opinion and Beta probability density functions are also analyzed. Some numerical examples and related analyses are provided to justify our viewpoints.

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Ahmadi, Fatimah Rita, and Aleks Kissinger. "The ZX-calculus as a language for topological quantum computation." Journal of Physics A: Mathematical and Theoretical, August 11, 2023. http://dx.doi.org/10.1088/1751-8121/acef7e.

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Abstract Unitary fusion categories formalise the algebraic theory of topological quantum computation. These categories come naturally enriched in a subcategory of the category of Hilbert spaces, and by looking at this subcategory, one can identify a collection of generators for implementing quantum computation. We represent such generators for the Fibonacci and Ising models, namely the encoding of qubits and the associated braid group representations, with the ZX-calculus and show that in both cases, the Yang-Baxter equation is directly connected to an important rule in the complete ZX-calculu

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Anenson, T. Leigh. "Statutory Interpretation, Judicial Discretion, and Equitable Defenses." University of Pittsburgh Law Review 79, no. 1 (2018). http://dx.doi.org/10.5195/lawreview.2017.524.

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Equitable defenses were given up for dead after eBay v. MercExchange. But they have been resurrected. The Supreme Court is raising the dead in recent decisions. It is integrating these judge-made doctrines into federal law despite their omission from the language of the legislation. The fusion of equitable defenses into federal statutes is important because it allows judges discretion to vary statutory outcomes on a case-by-case basis. As a result, an assortment of indeterminate defenses may stand in the way of remedying statutory violations.The Supreme Court’s approach to equity exerts a deci

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Lopes, Samara De Paula, Michel Abdalla Helavel, Isabelle Magalhães De Cunha, et al. "Reduction Glossoplasty in a Calf with Bifid Tongue." Acta Scientiae Veterinariae 47 (April 17, 2019). http://dx.doi.org/10.22456/1679-9216.91352.

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Background: Fetal malformations are characterized by anatomical changes that compromise an organ or system. Tongue formation in bovines occurs with the fusion of three structures at the end of the fourth week of gestation, and any failure during this stage of embryonic development may lead to tongue malformation. Bifid tongue, also called glossoschisis, is a rare congenital abnormality in any species and is characterized by incomplete fusion of the lateral tongue buds, resulting in a deep groove in the midline of the tongue. The objective of this study was to describe a case of bifid tongue an

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Deans, Michael T. "Science Rewritten to Accommodate its Origin." International Journal of Innovative Research in Medical Science 1, no. 05 (2016). http://dx.doi.org/10.23958/ijirms/vol01-i05/06.

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A ferroelectric phase transition in ice at ~72 K releases latent energy as λ ~ 4 μ infrared laser light, ‘ice light’, energizing selected targets. Polarized by multiple reflection[22], it photophosphorylated deoxynucleotides, turning tropical waters into a noodle soup of chiral DNA. tRNA analogues ‘transport DNAs’, tDNAs embedded in Alexander Oparin’s lightning-charged coacervates[23] formed H-bond lined pores. Absorbed ice light created an electric field, driving a ratchet mechanism which actively imported charged carrier-substrate complexes. All life descends from the first cell to rep

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Busse, Kristina, and Shannon Farley. "Remixing the Remix: Fannish Appropriation and the Limits of Unauthorised Use." M/C Journal 16, no. 4 (2013). http://dx.doi.org/10.5204/mcj.659.

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In August 2006 the LiveJournal (hereafter LJ) community sga_flashfic posted its bimonthly challenge: a “Mission Report” challenge. Challenge communities are fandom-specific sites where moderators pick a theme or prompt to which writers respond and then post their specific fan works. The terms of this challenge were to encourage participants to invent a new mission and create a piece of fan fiction in the form of a mission report from the point of view of the Stargate Atlantis team of explorers. As an alternative possibility, and this is where the trouble started, the challenge also allowed to

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