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Journal articles on the topic 'Dynamic binary model'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

McCormick, Tyler H., Adrian E. Raftery, David Madigan, and Randall S. Burd. "Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification." Biometrics 68, no. 1 (2011): 23–30. http://dx.doi.org/10.1111/j.1541-0420.2011.01645.x.

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de Jong, Robert M., and Tiemen Woutersen. "DYNAMIC TIME SERIES BINARY CHOICE." Econometric Theory 27, no. 4 (2011): 673–702. http://dx.doi.org/10.1017/s0266466610000472.

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This paper considers dynamic time series binary choice models. It proves near epoch dependence and strong mixing for the dynamic binary choice model with correlated errors. Using this result, it shows in a time series setting the validity of the dynamic probit likelihood procedure when lags of the dependent binary variable are used as regressors, and it establishes the asymptotic validity of Horowitz’s smoothed maximum score estimation of dynamic binary choice models with lags of the dependent variable as regressors. For the semiparametric model, the latent error is explicitly allowed to be co

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3

Wang, Wei-Ping. "Binary-Oscillator Networks: Bridging a Gap between Experimental and Abstract Modeling of Neural Networks." Neural Computation 8, no. 2 (1996): 319–39. http://dx.doi.org/10.1162/neco.1996.8.2.319.

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This paper proposes a simplified oscillator model, called binary-oscillator, and develops a class of neural network models having binary-oscillators as basic units. The binary-oscillator has a binary dynamic variable v = ±1 modeling the “membrane potential” of a neuron, and due to the presence of a “slow current” (as in a classical relaxation-oscillator) it can oscillate between two states. The purpose of the simplification is to enable abstract algorithmic study on the dynamics of oscillator networks. A binary-oscillator network is formally analogous to a system of stochastic binary spins (at

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Wilhelm, Thomas. "An elementary dynamic model for non-binary food webs." Ecological Modelling 168, no. 1-2 (2003): 145–52. http://dx.doi.org/10.1016/s0304-3800(03)00207-2.

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Cingara, Aleksandar, Miodrag Jovanovic, and Milan Mitrovic. "Analytical first-order dynamic model of binary distillation column." Chemical Engineering Science 45, no. 12 (1990): 3585–92. http://dx.doi.org/10.1016/0009-2509(90)87161-k.

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Quenet, Brigitte, and David Horn. "The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding." Neural Computation 15, no. 2 (2003): 309–29. http://dx.doi.org/10.1162/089976603762552933.

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We describe and discuss the properties of a binary neural network that can serve as a dynamic neural filter (DNF), which maps regions of input space into spatiotemporal sequences of neuronal activity. Both deterministic and stochastic dynamics are studied, allowing the investigation of the stability of spatiotemporal sequences under noisy conditions. We define a measure of the coding capacity of a DNF and develop an algorithm for constructing a DNF that can serve as a source of given codes. On the basis of this algorithm, we suggest using a minimal DNF capable of generating observed sequences

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Piot, David, Frank Montheillet, and S. Lee Semiatin. "Rheological Behavior of Pure Binary Ni–Nb Model Alloys." Materials Science Forum 638-642 (January 2010): 2700–2705. http://dx.doi.org/10.4028/www.scientific.net/msf.638-642.2700.

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This experimental work deals with the influence of niobium additions to high purity nickel on dynamic recrystallization behavior during hot working. Various high-purity alloys were prepared (unalloyed Ni and Ni–0.01, 0.1, 1 and 10 wt % Nb) and deformed to high strains by hot torsion tests to characterize the rheological behavior within the range 800 – 1000°C at strain rates of 0.03, 0.1 and 0.3 s–1. Niobium additions strongly increased the flow stress. To quantify such behavior, the strain-hardening parameter h and dynamic-recovery parameter r in the Yoshie-Laasraoui-Jonas constitutive equatio

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Wright, William E. "A Markov chain model for dynamic binary search tree behaviour." International Journal of Computer Mathematics 81, no. 7 (2004): 803–12. http://dx.doi.org/10.1080/00207160410001715311.

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Tuchlenski, Axel, Oliver Schramm, and Andreas Seidel-Morgenstern. "Steady-State and Dynamic Mass Transfer of Gases in Porous Materials." Collection of Czechoslovak Chemical Communications 62, no. 7 (1997): 1043–56. http://dx.doi.org/10.1135/cccc19971043.

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The diffusion of binary gas mixtures through a porous asymmetric tubular membrane has been studied experimentally. A modified Wicke-Kallenbach diffusion cell consisting of two gas compartments separated by the membrane was used. Steady-state experiments with pure gases and binary mixtures were carried out in order to determine the transport parameters of the membrane with respect to the dusty gas model. To verify these parameters, the dynamic transport of binary mixtures was examined applying the dynamic diffusion cell technique proposed by Novak et al. The measured transients were in relative

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Kalinin, Maxim, Roman Demidov, and Peter Zegzhda. "Hybrid Neural Network Model for Protection of Dynamic Cyber Infrastructure." Nonlinear Phenomena in Complex Systems 22, no. 4 (2019): 375–82. http://dx.doi.org/10.33581/1561-4085-2019-22-4-375-382.

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The paper considers a combination of modern artificial neural networks (ANN) that solves the security relative task of intrusion prevention and vulnerabilities detection in cybernetic infrastructure with dynamic network topology. Self-organizing networks, WSN, m2m networks, IIoT, mesh networks are faced with the cyberthreats of specific character: dynamic routing failures, node isolation, DDoS attacks, traffic lack, etc. Most of them are caused by cybersecurity weaknesses: the software vulnerabilities and architectural features of dynamically reconfigured network. The existing methods of binar

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El-Nashar, Hassan F., and Hilda A. Cerdeira. "Dynamic scaling in a ballistic deposition model for a binary system." Physical Review E 61, no. 6 (2000): 6149–55. http://dx.doi.org/10.1103/physreve.61.6149.

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Laming, Donald. "Signal-detection with d′≡0: A dynamic model for binary prediction." Journal of Mathematical Psychology 60 (June 2014): 35–46. http://dx.doi.org/10.1016/j.jmp.2014.04.002.

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13

Haasemann, Georg. "An Application of the Binary Model to Dynamic Finite Element Analysis." PAMM 3, no. 1 (2003): 176–77. http://dx.doi.org/10.1002/pamm.200310363.

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Liu, Mingxing, Enlong Liu, Xingyan Liu, and Qingsong Zheng. "Dynamic Binary-Medium Model for Jointed Rock Subjected to Cyclic Loading." Mathematics 12, no. 11 (2024): 1765. http://dx.doi.org/10.3390/math12111765.

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Revealing the damage mechanism of jointed rocks under a cyclic loading and formulating the corresponding dynamic constitutive model to meet the requirements for the evaluation of anti-vibration safety for critical engineering construction and operation is an essential, urgent and basic subject. Based on the breakage mechanics for geological material, jointed rock is considered as a binary-medium material composed of the bonded elements and frictional elements. The bonded elements are regarded as elastic-brittle elements, and the frictional elements are regarded as elastic-plastic elements. Fir

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Alpatov, Anatolii, Victor Kravets, Volodymyr Kravets, and Erik Lapkhanov. "Analytical modeling of the binary dynamic circuit motion." Transactions on Machine Learning and Artificial Intelligence 9, no. 5 (2021): 23–32. http://dx.doi.org/10.14738/tmlai.95.10922.

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The binary dynamic circuit, which can be a design scheme for a number of technical systems is considered in the paper. The dynamic circuit is characterized by the kinetic energy of the translational motion of two masses, the potential energy of these masses’ elastic interaction and the dissipative function of energy dissipation during their motion. The free motion of a binary dynamic circuit is found according to a given initial phase state. A mathematical model of the binary dynamic circuit motion in the canonical form and the corresponding characteristic equation of the fourth degree are com

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YANG, KAI, and JIANAN XUE. "DYNAMIC RELIABILITY MEASURES AND LIFE DISTRIBUTION MODELS FOR MULTISTATE SYSTEMS." International Journal of Reliability, Quality and Safety Engineering 02, no. 01 (1995): 79–102. http://dx.doi.org/10.1142/s0218539395000083.

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This paper generalizes the dynamic binary state reliability parameters R(t), F(t), λ(t) and MTBF to corresponding dynamic multistate reliability parameter vectors R(t), F(t), λ(t) and M. Then, probability models for system lifetime used on binary state reliability models, such as exponential, Weibull, and other distributions are generalized for multistate models. Continuous time Markov process and Semi-Markov process are used to model the lifetime distribution for multistate system. Multistate reliability measures, such as R(t), F(t), λ(t), M are derived for those multistate reliability models

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Malhotra, Jyoti, and Jagdish Bakal. "A Deterministic Eviction Model for Removing Redundancies in Video Corpus." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3221. http://dx.doi.org/10.11591/ijece.v8i5.pp3221-3231.

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<span>The traditional storage approaches are being challenged by huge data volumes. In multimedia content, every file does not necessarily get tagged as an exact duplicate; rather they are prone to editing and resulting in similar copies of the same file. This paper proposes the similarity-based deduplication approach to evict similar duplicates from the archive storage, which compares the samples of binary hashes to identify the duplicates. This eviction is done by initially dividing the query video into dynamic key frames based on the video length. Binary hash codes of these frames are

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Jyoti, Malhotra, and Bakal Jagdish. "A Deterministic Eviction Model for Removing Redundancies in Video Corpus." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3221–31. https://doi.org/10.11591/ijece.v8i5.pp3221-3231.

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The traditional storage approaches are being challenged by huge data volumes. In multimedia content, every file does not necessarily get tagged as an exact duplicate; rather they are prone to editing and resulting in similar copies of the same file. This paper proposes the similarity-based deduplication approach to evict similar duplicates from the archive storage, which compares the samples of binary hashes to identify the duplicates. This eviction is done by initially dividing the query video into dynamic key frames based on the video length. Binary hash codes of these frames are then compar

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19

Bellon Hernández, Óscar Alexander, Diana Yadith Riscanevo Espitia, and Ariel Adolfo Rodríguez Hernández. "A new dynamic model of thermal degradation of polymer binary mixes submitted through pyrolysis." Ingenieria Solidaria 17, no. 1 (2021): 1–18. http://dx.doi.org/10.16925/2357-6014.2022.01.07.

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Introduction: This article is the product of the review “A new dynamic model of thermal degradation of polymer binary mixes submitted through pyrolysis”, developed in the University Pedagógica y Tecnológica de Colombia – UPTC-, carried out during 2020. This paper shows the validation process of a dynamic model proposed torepresent the one-step thermal degradation reaction of individual components in polymer mixtures.Problem: It is complicated to model the process of thermal degradation of polymer mixtures inside pyrolysis reactors. Inside the MPW reactor, the distribution of polymeric componen

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Savitskaya, N. E., and T. A. Fedorova. "Dynamic Properties of the Voter Model with Stochastic Activation of Links Driven by Avalanche-like Perturbations." Interdisciplinary Journal Nonlinear Phenomena in Complex System 27, no. 3 (2024): 208–16. https://doi.org/10.5281/zenodo.13960388.

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In this paper, we study the dynamical modes of the modified noisy voter model. Inour model, the changes in the binary state (opinion) of the voters (agents) are causedby the avalanche-like dynamics of the threshold variables (tensors) assigned to them. Thesystem under study is considered as a scale-free network in which the nodes representelements (agents, voters) and the edges represent possible contacts between the elements.The structure of the links between voters is not static. Its temporal evolution is due to the“activity” of the agents. This property determines the probabilit

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21

Yu, Gang, Wei Gao, Weiguo Wang, and Shaoping Wang. "Estimating Dynamic Binary Panel Data Model with Random Effects: A Computational Note." Computational Economics 51, no. 3 (2016): 535–39. http://dx.doi.org/10.1007/s10614-016-9620-1.

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22

Caulkins, Jonathan P., Gustav Feichtinger, Dieter Grass, et al. "A Dynamic Analysis of Schelling’s Binary Corruption Model: A Competitive Equilibrium Approach." Journal of Optimization Theory and Applications 161, no. 2 (2013): 608–25. http://dx.doi.org/10.1007/s10957-013-0420-7.

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23

Ayala Solares, Jose Roberto, Hua-Liang Wei, and Stephen A. Billings. "A novel logistic-NARX model as a classifier for dynamic binary classification." Neural Computing and Applications 31, no. 1 (2017): 11–25. http://dx.doi.org/10.1007/s00521-017-2976-x.

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Sun, W., and Y. Cai. "MSR80 A Dynamic Panel Binary Data Model for Personalized Patient Engagement Prediction." Value in Health 26, no. 6 (2023): S292. http://dx.doi.org/10.1016/j.jval.2023.03.1615.

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25

HARBOLA, UPENDRA, and SHANKAR P. DAS. "A SIMPLE MODEL FOR DYNAMIC HETEROGENEITIES IN A SUPERCOOLED LIQUID." International Journal of Modern Physics B 18, no. 09 (2004): 1299–307. http://dx.doi.org/10.1142/s0217979204024574.

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The self-consistent mode-coupling theory (MCT) has been used to analyze the heterogeneous dynamical nature of a binary supercooled liquid. The non-Gaussian behavior is studied by analyzing the self part of the Van Hove correlation function, Gs(r, t). From the analysis of the single particle dynamics we identify a fraction (ϕM) of particles which are dynamically more active and find that ϕM increases as the temperature is decreased. This behavior is qualitatively similar to the computer simulation studies of the same system.

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Taher, Fatma, Omar AlFandi, Mousa Al-kfairy, Hussam Al Hamadi, and Saed Alrabaee. "DroidDetectMW: A Hybrid Intelligent Model for Android Malware Detection." Applied Sciences 13, no. 13 (2023): 7720. http://dx.doi.org/10.3390/app13137720.

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Malicious apps specifically aimed at the Android platform have increased in tandem with the proliferation of mobile devices. Malware is now so carefully written that it is difficult to detect. Due to the exponential growth in malware, manual methods of malware are increasingly ineffective. Although prior writers have proposed numerous high-quality approaches, static and dynamic assessments inherently necessitate intricate procedures. The obfuscation methods used by modern malware are incredibly complex and clever. As a result, it cannot be detected using only static malware analysis. As a resu

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Ren, Z., and G. G. Zhu. "Pseudo-random binary sequence closed-loop system identification error with integration control." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 223, no. 6 (2009): 877–84. http://dx.doi.org/10.1243/09596518jsce794.

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This paper studies the closed-loop system identification (ID) error when a dynamic integral controller is used. Pseudo-random binary sequence (PRBS) q-Markov covariance equivalent realization (Cover) is used to identify the closed-loop model, and the open-loop model is obtained based upon the identified closed-loop model. Accurate open-loop models were obtained using PRBS q-Markov Cover system ID directly. For closed-loop system ID, accurate open-loop identified models were obtained with a proportional controller, but when a dynamic controller was used, low-frequency system ID error was found.

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Tsiamasiotis, Konstantinos, Emmanouil Chaniotakis, Moeid Qurashi, Hai Jiang, and Constantinos Antoniou. "Identifying and Quantifying Factors Determining Dynamic Vanpooling Use." Smart Cities 4, no. 4 (2021): 1243–58. http://dx.doi.org/10.3390/smartcities4040066.

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Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of passengers due to the introduction of dynamic vanpooling in the transportation system. A web-based mode choice survey was designed and implemented for this scope. The stated-preference experiments offered respondents binary hypothetical scenarios with an ordered choice between dynamic vanpool and the conventional modes of transport, private car and

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Moreira, Angélica Aparecida, Guilherme Ottoni, and Fernando Magno Quintão Pereira. "VESPA: static profiling for binary optimization." Proceedings of the ACM on Programming Languages 5, OOPSLA (2021): 1–28. http://dx.doi.org/10.1145/3485521.

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Over the past few years, there has been a surge in the popularity of binary optimizers such as BOLT, Propeller, Janus and HALO. These tools use dynamic profiling information to make optimization decisions. Although effective, gathering runtime data presents developers with inconveniences such as unrepresentative inputs, the need to accommodate software modifications, and longer build times. In this paper, we revisit the static profiling technique proposed by Calder et al. in the late 90’s, and investigate its application to drive binary optimizations, in the context of the BOLT binary optimize

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Liu, E. H., S. Tian, and Q. Chen. "Mechanism Research of Bus Dynamic Information Impact on the Commuter Travel Behavior." Applied Mechanics and Materials 743 (March 2015): 660–66. http://dx.doi.org/10.4028/www.scientific.net/amm.743.660.

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In this paper, according to the characteristics of the bus travel decision-making, the traffic behavior selection data in Nanjing were collected by designing traffic wishes questionnaires and a binary logit model was built on dynamic information service under the bus commuters travel route choice behavior of binary logit model. This paper analyses the effect by using the model parameter calibration including bus-taking time, bus congestion and personal information e.g. age and gender on the bus commuters travel route choice behavior. Studies have shown that public transport information are clo

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Wang, Lechuan, Puning Chen, and Qurat Ul An Sabir. "Tennis Game Dynamic Prediction Model Based on Players’ Momentum." AppliedMath 5, no. 3 (2025): 77. https://doi.org/10.3390/appliedmath5030077.

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Psychological momentum dynamics in tennis have triggered interest for a long time, but measuring their impact presents substantial obstacles. In this paper, we present an approach to quantify momentum that combines real-time winning probabilities, leverage, and an exponentially weighted moving average (EWMA). We test the method on a high-profile match between Carlos Alcaraz and Novak Djokovic, demonstrating how changes in leverage affect momentum. Furthermore, we use feature extraction methods from time series analysis to derive momentum-related characteristics, which are critical inputs for c

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Jiang, Guang-Jun, Zong-Yuan Li, Guan Qiao, Hong-Xia Chen, Hai-Bin Li, and Hong-Hua Sun. "Reliability Analysis of Dynamic Fault Tree Based on Binary Decision Diagrams for Explosive Vehicle." Mathematical Problems in Engineering 2021 (April 9, 2021): 1–13. http://dx.doi.org/10.1155/2021/5559475.

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Dynamic fault tree is often used to analyze system reliability. The Markov model is a commonly used method, which can accurately reflect the relationship between the state transition process and the dynamic logic gate transfer in the dynamic fault tree. When the complexity or scale of system is increasing, the Markov model encountered a problem of state space explosion leading to increase troubles. To solve the above problems, a modular approach is needed. Based on the modular approach, a hybrid fault module was researched in this paper. Firstly, the stackable fault subtree containing complex

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33

Dedrick, Jason, Erran Carmel, and Kenneth L. Kraemer. "A Dynamic Model of Offshore Software Development." Journal of Information Technology 26, no. 1 (2011): 1–15. http://dx.doi.org/10.1057/jit.2009.23.

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As the offshoring of knowledge work has accelerated, theoretical models to explain the phenomenon have not kept up. Most theoretical models assume a static transactional relationship from various factors to a binary offshoring decision. Such models do not take into account the mix of sourcing choices at the level of a firm, nor do they consider dynamic changes over time. To help fill these gaps, we use five case studies on offshore migration of software work by major US companies. Data were collected from senior executives. We use these data to develop a dynamic conceptual model that incorpora

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Xie, Ying-Gang, Nan-Nan Zhou, and Shi-Yin Zhu. "Multimodal Emotion Recognition Based on Hierarchical Feature Fusion." Journal of Computers 36, no. 2 (2025): 281–96. https://doi.org/10.63367/199115992025043602019.

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Multimodal emotion recognition presents two major challenges: the limited capacity to model higher-order interactions among modalities, and the difficulty of achieving effective fusion due to imbalanced data quality across modalities. To address these issues, this paper proposes a novel model based on hierarchical feature fusion. The model adopts a three-level fusion framework. First, it integrates static fusion with a dynamic weighting mechanism informed by Bayesian uncertainty estimation to achieve initial alignment and importance modeling of modality-specific features. Second, a multi-head

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Jia, Yuhao, Zhicheng Yu, and Zhen Hong. "Semantic aware-based instruction embedding for binary code similarity detection." PLOS ONE 19, no. 6 (2024): e0305299. http://dx.doi.org/10.1371/journal.pone.0305299.

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Binary code similarity detection plays a crucial role in various applications within binary security, including vulnerability detection, malicious software analysis, etc. However, existing methods suffer from limited differentiation in binary embedding representations across different compilation environments, lacking dynamic high-level semantics. Moreover, current approaches often neglect multi-level semantic feature extraction, thereby failing to acquire precise semantic information about the binary code. To address these limitations, this paper introduces a novel detection solution called B

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Liu, Jian Lan, and Li Zhu. "Binary Tree Model-Based Mobile Ad Hoc Network Dynamic Address Allocation Mechanism Research." Applied Mechanics and Materials 644-650 (September 2014): 2881–85. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2881.

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Mobile Ad Hoc network is a multihop temporary network composed of a set of mobile intelligent terminals with no center. According to the related questions of mobile Ad Hoc network address configuration, on the basis of the existing application in mobile Ad Hoc network address automatic configuration mechanism, this paper discusses Binary Tree Model-based Dynamic Address Allocation Mechanism. The mechanism dynamically configures a unique address for the nodes according to their relative positions in network topology, reduces control overhead, and with the help of node number, processes network

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Soroudi, A., and M. Afrasiab. "Binary PSO-based dynamic multi-objective model for distributed generation planning under uncertainty." IET Renewable Power Generation 6, no. 2 (2012): 67. http://dx.doi.org/10.1049/iet-rpg.2011.0028.

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Ionov, D. E., D. V. Bisikalo, P. V. Kaygorodov, and V. I. Shematovich. "Gas Dynamic Simulation of the Star-Planet Interaction using a Binary Star Model." Proceedings of the International Astronomical Union 7, S282 (2011): 545–46. http://dx.doi.org/10.1017/s1743921311028341.

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AbstractWe have performed numerical simulations of the interaction between a “hot Jupiter” planet and gas of the stellar wind using a numerical code developed for investigations of binary stars. With this code, we have modeled the structure of the gaseous flow in the system HD 209458. The results have been used to explain observations of this system performed with the COS instrument on-board the HST.

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Zheng, Nan, and Brajendra C. Sutradhar. "Generalised quasi-likelihood inference in a semi-parametric binary dynamic mixed logit model." Australian & New Zealand Journal of Statistics 60, no. 3 (2018): 343–73. http://dx.doi.org/10.1111/anzs.12235.

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Vasil'ev, V. P. "Nonstationary effects of radiation-mechanical synchronism in binary stars. I. Gas-dynamic model." Astrophysics 29, no. 1 (1989): 484–92. http://dx.doi.org/10.1007/bf01005866.

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Lin, Jiaxiang, Riqing Chen, Liping Wu, Zhaogang Shu, and Changcai Yang. "Adaptive parallel Delaunay triangulation construction with dynamic pruned binary tree model in Cloud." Concurrency and Computation: Practice and Experience 29, no. 24 (2017): e4157. http://dx.doi.org/10.1002/cpe.4157.

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Mei, D., X. Du, and Z. Chen. "Optimization of dynamic parameters for a traction-type passenger elevator using a dynamic byte coding genetic algorithm." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 3 (2008): 595–605. http://dx.doi.org/10.1243/09544062jmes1149.

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To decrease the vibration and improve the dynamic performance of traction-type passenger elevators, an accurate vertical dynamic model with nine degrees of freedom for a gearless 2: 1 traction-type passenger elevator system is presented. Then, an optimization model of dynamic parameters for this type of passenger elevator is proposed based on the dynamic model. The optimization model takes the amplitude of vibration acceleration response of the elevator cage as the objective function. Various exciting forces and various working conditions can be considered by using corresponding weight coeffic

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Liu, Shuang, Yue Wu, and Xueping Zhao. "A ternary mixture model with dynamic boundary conditions." Mathematical Biosciences and Engineering 21, no. 2 (2024): 2050–83. http://dx.doi.org/10.3934/mbe.2024091.

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<abstract><p>The influence of short-range interactions between a multi-phase, multi-component mixture and a solid wall in confined geometries is crucial in life sciences and engineering. In this work, we extend the Cahn-Hilliard model with dynamic boundary conditions from a binary to a ternary mixture, employing the Onsager principle, which accounts for the cross-coupling between forces and fluxes in both the bulk and surface. Moreover, we have developed a linear, second-order and unconditionally energy-stable numerical scheme for solving the governing equations by utilizing the in

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Bonhomme, Stéphane, and Martin Weidner. "Minimizing sensitivity to model misspecification." Quantitative Economics 13, no. 3 (2022): 907–54. http://dx.doi.org/10.3982/qe1930.

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We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic approach where the degree of misspecification is indexed by the sample size. We construct estimators whose mean squared error is minimax in a neighborhood of the reference model, based on one‐step adjustments. In addition, we provide confidence intervals that contain the true parameter under local misspecification. As a tool to interpret the degree of misspecification, we map it to the local power of a specification test of the reference model. Our approach allows for systemati

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Ferhat, Ipar, Rodrigo Sarlo, and Pablo A. Tarazaga. "3D Modal Analysis of a Loaded Tire with Binary Random Noise Excitation." Tire Science and Technology 48, no. 3 (2019): 207–23. http://dx.doi.org/10.2346/tire.19.170166.

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ABSTRACT Modal analysis of tires has been a fundamental part of tire research aimed at capturing the dynamic behavior of a tire. An accurate expression of tire dynamics leads to an improved tire model and a more accurate prediction of tire behavior in real-life operations. Therefore, the main goal of this work is to improve the tire-testing techniques and data range to obtain the best experimental data possible using the current technology. With this goal in mind, we propose novel testing techniques such as piezoelectric excitation, high-frequency bandwidth data, and noncontact vibration measu

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Xie, Pengzhao. "Beyond Binary: Gender Capacity in Counseling." Lecture Notes in Education Psychology and Public Media 72, no. 1 (2025): 61–68. https://doi.org/10.54254/2753-7048/2025.21304.

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This paper examines the complex interplay between gender expression, linguistic representation, and therapeutic practice in counseling settings. The paper analyzes how societal influences shape the understanding and articulation of gender concepts. The research highlights the critical distinction between sex and gender in linguistic frameworks, with particular attention to the independent yet interrelated expressions of masculinity and femininity. Through theoretical analysis and empirical observation, the article demonstrates that language serves as a dynamic form of gender expression, contin

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Wang, Bin. "Coupling dynamic modelling of a flexible manipulator driven by servo joint using experimental identification method." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 9 (2018): 3076–84. http://dx.doi.org/10.1177/0954406218803974.

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In this paper, the coupling dynamic model of a flexible manipulator driven by servo joint is established using experimental identification method. The dynamic model of the servo joint is proposed, which consists of a direct current servo motor, a harmonic gear reducer and a servo controller. By fitting the experimental data for the forward and inverse rotation of the motor, the coulomb friction constant and viscosity friction coefficient are obtained. Then, two transform function models that represent the system coupling dynamics are proposed. The input and output variables for one model are t

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Steltenpohl, Pavol, and Elena Graczová. "Binary mixtures containing imidazolium ionic liquids: properties measurement." Acta Chimica Slovaca 15, no. 1 (2022): 18–28. http://dx.doi.org/10.2478/acs-2022-0003.

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Abstract Densities and transport properties (dynamic viscosity) of pure imidazolium ionic liquids 1-butyl-3-methylimidazolium acetate and 1-butyl-3-methylimidazolium dicyanamide and their binary mixtures with water and ethanol were measured within the temperature range of 293.15—333.15 K. Obtained experimental data were used to calculate excess molar volume and viscosity deviation. For the chosen binary mixtures, variations of excess molar volume, partial molar volumes of mixture components and of the viscosity deviation with the binary mixture composition were correlated using the Redlich-Kis

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SALEJDA, WŁODZIMIERZ. "THE HEAT CAPACITY OF THE ONE-DIMENSIONAL MODEL OF QUASIPERIODIC BINARY ALLOY." International Journal of Modern Physics B 03, no. 07 (1989): 1109–17. http://dx.doi.org/10.1142/s0217979289000762.

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The temperature dependence of the heat capacity [Formula: see text] of the harmonic model of quasi-periodic binary chain of atoms is studied numerically. It is shown that [Formula: see text] at T RED =k B T/E max ≲10−2, where A is a constant depending on the model parameters and E max denotes a maximal eigenenergy of the dynamic matrix. At high temperatures, [Formula: see text] approaches the Dulong-Peti limit.

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Huang, Jianbo, Jian Liu, and Yulei Rao. "Binary Tree Pricing to Convertible Bonds with Credit Risk under Stochastic Interest Rates." Abstract and Applied Analysis 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/270467.

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The convertible bonds usually have multiple additional provisions that make their pricing problem more difficult than straight bonds and options. This paper uses the binary tree method to model the finance market. As the underlying stock prices and the interest rates are important to the convertible bonds, we describe their dynamic processes by different binary tree. Moreover, we consider the influence of the credit risks on the convertible bonds that is described by the default rate and the recovery rate; then the two-factor binary tree model involving the credit risk is established. On the b

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