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Journal articles on the topic 'Auxiliary memory'

Author: Grafiati

Published: 30 June 2021

Last updated: 29 July 2025

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1

Luo, Wei, and Feng Yu. "Recurrent Highway Networks With Grouped Auxiliary Memory." IEEE Access 7 (2019): 182037–49. http://dx.doi.org/10.1109/access.2019.2959655.

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Wang, Jianyong, Lei Zhang, Quan Guo, and Zhang Yi. "Recurrent Neural Networks With Auxiliary Memory Units." IEEE Transactions on Neural Networks and Learning Systems 29, no. 5 (2018): 1652–61. http://dx.doi.org/10.1109/tnnls.2017.2677968.

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3

Morrison, M., P. D. Maia, and J. N. Kutz. "Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics." Computational and Mathematical Methods in Medicine 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/6102494.

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Developing technologies have made significant progress towards linking the brain with brain-machine interfaces (BMIs) which have the potential to aid damaged brains to perform their original motor and cognitive functions. We consider the viability of such devices for mitigating the deleterious effects of memory loss that is induced by neurodegenerative diseases and/or traumatic brain injury (TBI). Our computational study considers the widely used Hopfield network, an autoassociative memory model in which neurons converge to a stable state pattern after receiving an input resembling the given m

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KOMORIYA, Toshihiko, Takeshi OKUYAMA, Yun LUO, and Toshiyuki TAKAGI. "Development of Auxiliary Sphincters using Shape Memory Alloys." Proceedings of Conference of Tohoku Branch 2003.38 (2003): 164–65. http://dx.doi.org/10.1299/jsmeth.2003.38.164.

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5

Kamel, Nabil. "Page-query compaction of secondary memory auxiliary databases." Distributed and Parallel Databases 2, no. 4 (1994): 371–404. http://dx.doi.org/10.1007/bf01265320.

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6

Liu, ShaoLi, Ling Li, YunJi Chen, and WeiWu Hu. "Auxiliary stream for optimizing memory access of video decoders." Science China Information Sciences 57, no. 1 (2014): 1–10. http://dx.doi.org/10.1007/s11432-013-5045-9.

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Wang, Shoujin, Wanggen Wan, Tong Qu, and Yanqiu Dong. "Auxiliary Information-Enhanced Recommendations." Applied Sciences 11, no. 19 (2021): 8830. http://dx.doi.org/10.3390/app11198830.

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Sequential recommendations have attracted increasing attention from both academia and industry in recent years. They predict a given user’s next choice of items by mainly modeling the sequential relations over a sequence of the user’s interactions with the items. However, most of the existing sequential recommendation algorithms mainly focus on the sequential dependencies between item IDs within sequences, while ignoring the rich and complex relations embedded in the auxiliary information, such as items’ image information and textual information. Such complex relations can help us better under

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Zhang, Yuming, Shouxin Zhang, Peizhe Wang, et al. "MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 21 (2025): 22686–94. https://doi.org/10.1609/aaai.v39i21.34428.

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Deep neural networks (DNNs) typically employ an end-to-end (E2E) training paradigm which presents several challenges, including high GPU memory consumption, inefficiency, and difficulties in model parallelization during training. Recent research has sought to address these issues, with one promising approach being local learning. This method involves partitioning the backbone network into gradient-isolated modules and manually designing auxiliary networks to train these local modules. Existing methods often neglect the interaction of information between local modules, leading to myopic issues

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Lin, Yanru, Yanjun Zhang, and Xu Yang. "A Low Memory Requirement MobileNets Accelerator Based on FPGA for Auxiliary Medical Tasks." Bioengineering 10, no. 1 (2022): 28. http://dx.doi.org/10.3390/bioengineering10010028.

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Convolutional neural networks (CNNs) have been widely applied in the fields of medical tasks because they can achieve high accuracy in many fields using a large number of parameters and operations. However, many applications designed for auxiliary checks or help need to be deployed into portable devices, where the huge number of operations and parameters of a standard CNN can become an obstruction. MobileNet adopts a depthwise separable convolution to replace the standard convolution, which can greatly reduce the number of operations and parameters while maintaining a relatively high accuracy.

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10

Hogervorst, Susan. "Transmitting Memory Between and Beyond Generations." Journal of Educational Media, Memory, and Society 7, no. 2 (2015): 68–88. http://dx.doi.org/10.3167/jemms.2015.070205.

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This article analyses three local educational projects about the Nazi bombing of Rotterdam in May 1940, all of which took place from 1980 to the present day in the context of the dynamic memory culture of the bombardment. These three contexts testify to a process by which memory, increasingly derived from authentic locations and objects instead of individual memories, is put to use in education. Moreover, increased awareness of the disappearance of eyewitness generations means that young people are becoming key consumers and auxiliary producers of memory.

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11

Haq, Abdul, and Michael B. C. Khoo. "Memory-type multivariate control charts with auxiliary information for process mean." Quality and Reliability Engineering International 35, no. 1 (2018): 192–203. http://dx.doi.org/10.1002/qre.2391.

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12

Hall, Charles B., Richard B. Lipton, Mindy J. Katz та Cuiling Wang. "Correcting Bias Caused by Missing Data in the Estimate of the Effect of Apolipoprotein ε4 on Cognitive Decline". Journal of the International Neuropsychological Society 21, № 1 (2014): 85–90. http://dx.doi.org/10.1017/s1355617714000952.

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AbstractLongitudinal administration of neuropsychological instruments are often used to assess age-related changes in cognition. Informative loss to follow-up may bias the results of these studies. Herein, we use auxiliary data to adjust for informative loss to follow-up. In the Einstein Aging Study, memory was assessed annually in a community sample of adults age 70+, free of dementia at baseline, using the free recall from the Free and Cued Selective Reminding Test, andviatelephone using the Memory Impairment Screen for Telephone (the auxiliary data). Joint linear mixed models were used to a

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13

Sheng, Nengyin, Michael A. Bemben, Javier Díaz-Alonso, Wucheng Tao, Yun Stone Shi, and Roger A. Nicoll. "LTP requires postsynaptic PDZ-domain interactions with glutamate receptor/auxiliary protein complexes." Proceedings of the National Academy of Sciences 115, no. 15 (2018): 3948–53. http://dx.doi.org/10.1073/pnas.1800719115.

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Long-term potentiation (LTP) is a persistent strengthening of synaptic transmission in the brain and is arguably the most compelling cellular and molecular model for learning and memory. Previous work found that both AMPA receptors and exogenously expressed kainate receptors are equally capable of expressing LTP, despite their limited homology and their association with distinct auxiliary subunits, indicating that LTP is far more promiscuous than previously thought. What might these two subtypes of glutamate receptor have in common? Using a single-cell molecular replacement strategy, we demons

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Neskorniuk, Vladislav, Andrea Carnio, Domenico Marsella, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, and Vahid Aref. "Memory-aware end-to-end learning of channel distortions in optical coherent communications." Optics Express 31, no. 1 (2022): 1. http://dx.doi.org/10.1364/oe.470154.

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We implement a new variant of the end-to-end learning approach for the performance improvement of an optical coherent-detection communication system. The proposed solution enables learning the joint probabilistic and geometric shaping of symbol sequences by using auxiliary channel model based on the perturbation theory and the refined symbol probabilities training procedure. Due to its structure, the auxiliary channel model based on the first order perturbation theory expansions allows us performing an efficient parallelizable model application, while, simultaneously, producing a remarkably ac

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15

Chen, Jian. "Realization of a Noncontact IC Chip with Embedded Ferroelectric Memory in an Auxiliary Timing Device for Sports Games." Journal of Nanomaterials 2022 (June 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/9933084.

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The research direction of the new generation of embedded memory can be summarized into two types of embedded nonvolatile memory and embedded volatile memory; the research on online testing of embedded memory started in the past ten years, and there are few research results. This article analyzes the feasibility of the noncontact IC chip in the embedded ferroelectric memory of the sports game auxiliary timing device and is aimed at obtaining an optimized embedded ferroelectric memory by analyzing the relevant data to achieve the update and update of the sports game timing device system. Early s

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Li, Aiqun. "Research on English Education Auxiliary Teaching System Based on MOOC." Scientific Programming 2021 (October 25, 2021): 1–8. http://dx.doi.org/10.1155/2021/2459228.

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In the traditional English education auxiliary teaching system, the response time is long and the student satisfaction rate is low. Keeping these issues in mind, we propose a MOOC-based English education auxiliary teaching system that consists of hardware and functional modules of the teaching system and the database. The hardware of the English education auxiliary teaching system consists of the database server, memory, and remote controller. The functional modules include the basic teaching module based on MOOC, the assessment module, and the system management module. We conducted a number o

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Tang, Jia-Liang, Gabriel Alvarado Barrios, Enrique Solano, and Francisco Albarrán-Arriagada. "Tunable Non-Markovianity for Bosonic Quantum Memristors." Entropy 25, no. 5 (2023): 756. http://dx.doi.org/10.3390/e25050756.

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We studied the tunable control of the non-Markovianity of a bosonic mode due to its coupling to a set of auxiliary qubits, both embedded in a thermal reservoir. Specifically, we considered a single cavity mode coupled to auxiliary qubits described by the Tavis–Cummings model. As a figure of merit, we define the dynamical non-Markovianity as the tendency of a system to return to its initial state, instead of evolving monotonically to its steady state. We studied how this dynamical non-Markovianity can be manipulated in terms of the qubit frequency. We found that the control of the auxiliary sys

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18

Xu, Chuanjie, Feng Yuan, and Shouqiang Chen. "BJBN： BERT-JOIN-BiLSTM Networks for Medical Auxiliary Diagnostic." Journal of Healthcare Engineering 2022 (January 11, 2022): 1–7. http://dx.doi.org/10.1155/2022/3496810.

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This study proposed a medicine auxiliary diagnosis model based on neural network. The model combines a bidirectional long short-term memory（Bi-LSTM）network and bidirectional encoder representations from transformers (BERT), which can well complete the extraction of local features of Chinese medicine texts. BERT can learn the global information of the text, so use BERT to get the global representation of medical text and then use Bi-LSTM to extract local features. We conducted a large number of comparative experiments on datasets. The results show that the proposed model has significant advanta

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Feng, Xiaobo, Jun Zhong, Rui Yan, et al. "Groundwater Radon Precursor Anomalies Identification by EMD-LSTM Model." Water 14, no. 1 (2022): 69. http://dx.doi.org/10.3390/w14010069.

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Groundwater radon concentrations can reflect the changes of crustal stress and strain. Scholars and scientific institutions have also recorded groundwater radon precursor anomalies before earthquakes. Therefore, groundwater radon monitoring is an effective means of predicting seismic activities. However, the variation of radon concentrations within groundwater is not only affected by structural factors, but also by environmental factors, such as air pressure, temperature, and rainfall. This causes difficulty in identifying the possible precursor anomalies. Therefore, the EMD-LSTM model is prop

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20

Liang, Shujun, Huanlong Zhang, Jie Zhang, and Fengxian Wang. "Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application." Mathematical Problems in Engineering 2022 (June 8, 2022): 1–14. http://dx.doi.org/10.1155/2022/2245781.

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In the process of actual system modeling, many systems exhibit nonlinear characteristics with memory. Thus, the parameter identification problem of the nonlinear system with memory usually appears in the system modeling. This report focuses on the nonlinear system identification of Wiener–Hammerstein-like model with memory hysteresis, in which a new recursive estimation way is introduced. In this algorithm, the estimation bias problem can be improved by introducing a data filtering technique. On the basis of the filtered data, some auxiliary matrices and vectors are proposed. Following this, t

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21

Damaskinos, Georgios, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, and Thomas Parnell. "Differentially Private Stochastic Coordinate Descent." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (2021): 7176–84. http://dx.doi.org/10.1609/aaai.v35i8.16882.

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In this paper we tackle the challenge of making the stochastic coordinate descent algorithm differentially private. Compared to the classical gradient descent algorithm where updates operate on a single model vector and controlled noise addition to this vector suffices to hide critical information about individuals, stochastic coordinate descent crucially relies on keeping auxiliary information in memory during training. This auxiliary information provides an additional privacy leak and poses the major challenge addressed in this work. Driven by the insight that under independent noise additio

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22

Xie, Ya-Ru, Yu-Wen Chen, Li Zhang, Cong-Yue Tian, and Rui-Qing Gao. "Stabilizing Schrödinger—ODE systems with boundary delay for industrial process optimization." Advances in Differential Equations and Control Processes 32, no. 2 (2025): 2712. https://doi.org/10.59400/adecp2712.

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In this paper, we focus on the stabilization of a Schrödinger-ODE cascaded system with boundary delayed control. The system is stabilized through the utilization of integral-type feedback control, in which the integral kernel functions serve as parameters. The objective is to identify an appropriate set of kernel functions that ensure exponential stability characteristics of the closed-loop system. The initial step is to select a target system that must be exponentially stable. We propose an auxiliary system for the task at hand. Initially, we need to establish the equivalence between the auxi

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23

Muravyev, Alexey. "‘Perfidious Goth’, Holy Martyrs Cult and the Memory of Roman Troops in 5th Century Edessa." Amsterdamer Beiträge zur älteren Germanistik 80, no. 1-2 (2020): 134–42. http://dx.doi.org/10.1163/18756719-12340180.

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Abstract The present article deals with the literary image of a Gothic man who happened to be in Edessa in the 5th century AD as a part of Roman auxiliary troops. He is reported to marry there a local girl under pretext of being a celibatarian. Having left Syria for Gothia, it turned out that he was married and had children. The Syrian wife became a slave and suffered a lot before returning miraculously back to Edessa. From the comparative study of the sources it becomes clear that the Gothic auxiliary troops were summoned to Edessa in connection with the advance of the Huns. Notwithstanding t

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24

Melikyan, Varduhi, and Garegin Tumanyan. "Kurgans with auxiliary cists, externally attached to the cromlech in Armenia." ARAMAZD: Armenian Journal of Near Eastern Studies 13, no. 2 (2019): 56–69. http://dx.doi.org/10.32028/ajnes.v13i2.961.

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Tomb complexes have been excavated at a number of necropoleis in Armenia, which, in addition to the main burial chamber, have also stone-made or ground cells, externally attached to the cromlech. These ritual ‘boxes’ usually contain accompanying property and in some cases the remains of sacrificed animals. Tombs with the mentioned structural peculiarities have been found in the necropoleis of Lori Berd, Karashamb, Kanagegh, Hnaberd, Horom, Shamiram, etc. These belong to the Middle Bronze Age – Early Iron Age cultures of Armenia. Although the auxiliary cists in almost all the complexes are smal

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Yang, Peng, Jiangming Jiao, Xiaoyu Zhang, Xianke Liu, and Peng Duan. "A framework for hydro-power vibration dynamic measurement and decision-making based on natural language processing." Sound & Vibration 59, no. 1 (2024): 1689. http://dx.doi.org/10.59400/sv.v59i1.1689.

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The safety management construction of the hydro-power units is necessary to improve the level of engineering quality and economic beneﬁts. However, the traditional hydro-power units lack a uniﬁed safety management decision-making platform, making knowledge retrieval and recommendation difficult. To improve the safety management level of the hydro-power units, the present article provides a framework of intelligent query and auxiliary decision-making in the traditional hydro-power operations. Based on the natural language processing technologies, the auxiliary decision-making platform is compos

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Lian, Yaohao, and Yining Yang. "Development and application of intelligent judicial trial assistance system based on generative artificial intelligence and machine learning technology." Applied and Computational Engineering 75, no. 1 (2024): 223–29. http://dx.doi.org/10.54254/2755-2721/75/20240542.

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The intelligent judicial trial assistance system is an intelligent auxiliary judicial trial tool based on generative artificial intelligence and machine learning technology. It can achieve auxiliary functions such as case upload, trial result prediction, and legal document generation through automated, digital, and informational means. It utilizes technologies such as Recurrent Neural Networks (RNN) and Long Short-Term Memory networks (LSTM) to train generative models for generating trial recommendations and assisting in decision-making. Through in-depth research on the working principles and

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27

Zang, Ke, and Zhenguo Ma. "Automatic Modulation Classification Based on Hierarchical Recurrent Neural Networks With Grouped Auxiliary Memory." IEEE Access 8 (2020): 213052–61. http://dx.doi.org/10.1109/access.2020.3039543.

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28

Peter, Saša, Bastiaan H. A. Urbanus, Remco V. Klaassen, et al. "AMPAR Auxiliary Protein SHISA6 Facilitates Purkinje Cell Synaptic Excitability and Procedural Memory Formation." Cell Reports 31, no. 2 (2020): 107515. http://dx.doi.org/10.1016/j.celrep.2020.03.079.

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29

Anwar, Syed Masroor, Muhammad Aslam, Muhammad Riaz, and Babar Zaman. "On mixed memory control charts based on auxiliary information for efficient process monitoring." Quality and Reliability Engineering International 36, no. 6 (2020): 1949–68. http://dx.doi.org/10.1002/qre.2667.

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30

Qu, Yingming, Jinli Li, and Zhenchun Li. "Viscoacoustic Wave Numerical Simulation Method in an Auxiliary System for Irregular Surface Topography based on a Hybrid Spatial Partial Derivative Scheme." Journal of Theoretical and Computational Acoustics 28, no. 01 (2020): 1950022. http://dx.doi.org/10.1142/s2591728519500221.

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Conventional finite-difference or pseudo-spectral viscoacoustic modeling methods use uniform, rectangular grids to simulate wave propagation, leading to severe spurious diffractions at the surface topography. To overcome the problem, we mesh the velocity and quality factor [Formula: see text] models into curvilinear grids and map the models and the first-order velocity-stress viscoacoustic equation into an auxiliary system. However, when imaging viscoacoustic media, the first-order velocity-stress viscoacoustic equation has difficulty in compensating the energy loss and correcting the phase ef

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Ben-Ami, Lee, and Ido Bachelet. "A Thought-Operated Digital Random-Access Memory." Computational Intelligence and Neuroscience 2019 (June 9, 2019): 1–8. http://dx.doi.org/10.1155/2019/9684140.

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The capacity and reliability of biological memory could be exceeded by a constantly growing flux of information to remember and operate by. Yet, our memory is fragile and could be easily impaired, and the prevalence of memory disorders is increasing in correlation with the population’s mean age. As expected, auxiliary memory devices (such as writing pads and computers) are abundant but are operated indirectly using significant effort compared with biological memory. We report a working prototype of a simplified, 4 KB random-access memory (RAM) that can be written to or read from using thought

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Dinklage, Patrick, Jonas Ellert, Johannes Fischer, Florian Kurpicz, and Marvin Löbel. "Practical Wavelet Tree Construction." ACM Journal of Experimental Algorithmics 26 (July 8, 2021): 1–67. http://dx.doi.org/10.1145/3457197.

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We present new sequential and parallel algorithms for wavelet tree construction based on a new bottom-up technique. This technique makes use of the structure of the wavelet trees—refining the characters represented in a node of the tree with increasing depth—in an opposite way, by first computing the leaves (most refined), and then propagating this information upwards to the root of the tree. We first describe new sequential algorithms, both in RAM and external memory. Based on these results, we adapt these algorithms to parallel computers, where we address both shared memory and distributed m

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33

Zhao, Shi Hua. "The Diversities and Unities of Thermodynamic Function Expressions for Simple Systems." Advanced Materials Research 468-471 (February 2012): 2728–31. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2728.

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For the thermodynamic functions of simple systems, the expressions of different state parameters are proposed, and the equivalence relations between the different expressions are validated, which shows the diversities and unities of the thermodynamic function expressions. A memory approach of the Maxwell equations are also introduced, which is quicker and more accurate to write out the Maxwell equations, than to use any auxiliary figures.

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Wang, Lu, Hongyu Zhu, Ze Zuo, and Dianzhong Wen. "Full-function logic circuit based on egg albumen resistive memory." Applied Physics Letters 121, no. 24 (2022): 243505. http://dx.doi.org/10.1063/5.0124826.

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The logic gate is the basic unit of a digital circuit structure. The operation, memory, I/O, and other reading and writing functions of computer systems require logic circuits. Logic gates based on resistive memory can make existing integrated circuits denser, smaller, faster, and use fewer devices. In this paper, Al/polymethyl methacrylate (PMMA)/egg albumen (EA):Au nanoparticles/PMMA/Al multilayer biological resistive random access memory was prepared based on the natural biological material—egg albumen (EA). The device has bipolar switching behavior, a higher switching current ratio, a lowe

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35

Sellyra, Eirene Christina, Muhammad Ahsan, and Wibawati Wibawati. "ADAPTIVE EXPONENTIALLY WEIGHTED MOVING AVERAGE WITH MEASUREMENT ERROR (COVARIATE) WITH AUXILIARY INFORMATION MAXIMUM FOR CEMENT QUALITY CONTROL." Parameter: Jurnal Matematika, Statistika dan Terapannya 4, no. 1 (2025): 29–46. https://doi.org/10.30598/parameterv4i1pp29-46.

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The Shewhart control chartexhibits limitations in detecting small process shifts and monitors the mean and variance separately. To address these shortcomings, this study introduces the Adaptive EWMA with Measurement Error (Covariate Method) and Auxiliary Information Max (AEWMA ME C AI Max) control chart. This novel approach integrates memory-based monitoring, joint mean-variance detection, measurement error correction through the covariate method, utilization of auxiliary variables, and adaptive adjustment mechanisms to enhance sensitivity across various shift magnitudes. The AEWMA ME C AI Max

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Li, Bao, Jing Xiong, Feng Wan, Changhua Wang, and Dongjing Wang. "Incorporating Multivariate Auxiliary Information for Traffic Prediction on Highways." Sensors 23, no. 7 (2023): 3631. http://dx.doi.org/10.3390/s23073631.

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Traffic flow prediction is one of the most important tasks of the Intelligent Transportation Systems (ITSs) for traffic management, and it is also a challenging task affected by many complex factors, such as weather and time. Many cities adopt efficient traffic prediction methods to control traffic congestion. However, most of the existing methods of traffic prediction focus on urban road scenarios, neglecting the complexity of multivariate auxiliary information in highways. Moreover, these methods have difficulty explaining the prediction results based only on the historical traffic flow sequ

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Nakagawa, Terunaga. "Structures of the AMPA receptor in complex with its auxiliary subunit cornichon." Science 366, no. 6470 (2019): 1259–63. http://dx.doi.org/10.1126/science.aay2783.

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In the brain, AMPA-type glutamate receptors (AMPARs) form complexes with their auxiliary subunits and mediate the majority of fast excitatory neurotransmission. Signals transduced by these complexes are critical for synaptic plasticity, learning, and memory. The two major categories of AMPAR auxiliary subunits are transmembrane AMPAR regulatory proteins (TARPs) and cornichon homologs (CNIHs); these subunits share little homology and play distinct roles in controlling ion channel gating and trafficking of AMPAR. Here, I report high-resolution cryo–electron microscopy structures of AMPAR in comp

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Ling, Guobi. "Prediction of Membrane Fouling based on SSA-LSTM Neural Network." Frontiers in Science and Engineering 2, no. 8 (2022): 7–15. http://dx.doi.org/10.54691/fse.v2i8.1717.

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In view of the difficulty in obtaining the membrane bioreactor (MBR) membrane flux in real time and stable control, a sparrow search algorithm (SSA) is proposed to optimize the SSA-LSTM prediction model of long short-term memory (LSTM) neural network. Firstly, principal component analysis (PCA) is used to realize the dimensionality reduction of auxiliary variables. Second, use the sparrow search algorithm to determine the relevant hyper-parameters of the LSTM neural network. Finally, the selected auxiliary variables are used as the input of the SSA-LSTM prediction model, and the membrane flux

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Zhang, Wei, and Yang Shen. "Unsplit complex frequency-shifted PML implementation using auxiliary differential equations for seismic wave modeling." GEOPHYSICS 75, no. 4 (2010): T141—T154. http://dx.doi.org/10.1190/1.3463431.

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The complex-frequency-shifted perfectly matched layer (CFS-PML) technique can efficiently absorb near-grazing incident waves. In seismic wave modeling, CFS-PML has been implemented by the first-order-accuracy convolutional PML technique or second-order-accuracy recursive convolution PML technique. Both use different algorithms than the numerical scheme for the interior domain to update auxiliary memory variables in the PML and thus cannot be used directly with higher-order time-marching schemes. We work with an unsplit-field CFS-PML implementation using auxiliary differential equations (ADEs)

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Gu, Jianyang, Kai Wang, Wei Jiang, and Yang You. "Summarizing Stream Data for Memory-Constrained Online Continual Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (2024): 12217–25. http://dx.doi.org/10.1609/aaai.v38i11.29111.

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Replay-based methods have proved their effectiveness on online continual learning by rehearsing past samples from an auxiliary memory. With many efforts made on improving training schemes based on the memory, however, the information carried by each sample in the memory remains under-investigated. Under circumstances with restricted storage space, the informativeness of the memory becomes critical for effective replay. Although some works design specific strategies to select representative samples, by only employing a small number of original images, the storage space is still not well utilize

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Amo-Navarro, Jesús, Ricardo Vinuesa, J. Alberto Conejero, and Sergio Hoyas. "Two-Dimensional Compact-Finite-Difference Schemes for Solving the bi-Laplacian Operator with Homogeneous Wall-Normal Derivatives." Mathematics 9, no. 19 (2021): 2508. http://dx.doi.org/10.3390/math9192508.

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In fluid mechanics, the bi-Laplacian operator with Neumann homogeneous boundary conditions emerges when transforming the Navier–Stokes equations to the vorticity–velocity formulation. In the case of problems with a periodic direction, the problem can be transformed into multiple, independent, two-dimensional fourth-order elliptic problems. An efficient method to solve these two-dimensional bi-Laplacian operators with Neumann homogeneus boundary conditions was designed and validated using 2D compact finite difference schemes. The solution is formulated as a linear combination of auxiliary solut

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Twomey, Edward C., Maria V. Yelshanskaya, Robert A. Grassucci, Joachim Frank, and Alexander I. Sobolevsky. "Elucidation of AMPA receptor–stargazin complexes by cryo–electron microscopy." Science 353, no. 6294 (2016): 83–86. http://dx.doi.org/10.1126/science.aaf8411.

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AMPA-subtype ionotropic glutamate receptors (AMPARs) mediate fast excitatory neurotransmission and contribute to high cognitive processes such as learning and memory. In the brain, AMPAR trafficking, gating, and pharmacology is tightly controlled by transmembrane AMPAR regulatory proteins (TARPs). Here, we used cryo–electron microscopy to elucidate the structural basis of AMPAR regulation by one of these auxiliary proteins, TARP γ2, or stargazin (STZ). Our structures illuminate the variable interaction stoichiometry of the AMPAR-TARP complex, with one or two TARP molecules binding one tetramer

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Mishura, Yuliya, Kostiantyn Ralchenko, and Sergiy Shklyar. "General Conditions of Weak Convergence of Discrete-Time Multiplicative Scheme to Asset Price with Memory." Risks 8, no. 1 (2020): 11. http://dx.doi.org/10.3390/risks8010011.

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We present general conditions for the weak convergence of a discrete-time additive scheme to a stochastic process with memory in the space D [ 0 , T ] . Then we investigate the convergence of the related multiplicative scheme to a process that can be interpreted as an asset price with memory. As an example, we study an additive scheme that converges to fractional Brownian motion, which is based on the Cholesky decomposition of its covariance matrix. The second example is a scheme converging to the Riemann–Liouville fractional Brownian motion. The multiplicative counterparts for these two schem

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Yang, Chao-Peng, Jian-Qing Zhu, Tan Yan, Qiu-Ling Su, and Li-Xin Zheng. "Auxiliary Pneumonia Classification Algorithm Based on Pruning Compression." Computational and Mathematical Methods in Medicine 2022 (July 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/8415187.

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Pneumonia infection is the leading cause of death in young children. The commonly used pneumonia detection method is that doctors diagnose through chest X-ray, and external factors easily interfere with the results. Assisting doctors in diagnosing pneumonia in patients based on deep learning methods can effectively eliminate similar problems. However, the complex network structure and redundant parameters of deep neural networks and the limited storage and computing resources of clinical medical hardware devices make it difficult for this method to use widely in clinical practice. Therefore, t

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Feng, Zhuangzhuang, Xingming Zheng, Xiaofeng Li, et al. "A Framework for High-Spatiotemporal-Resolution Soil Moisture Retrieval in China Using Multi-Source Remote Sensing Data." Land 13, no. 12 (2024): 2189. https://doi.org/10.3390/land13122189.

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High-spatiotemporal-resolution and accurate soil moisture (SM) data are crucial for investigating climate, hydrology, and agriculture. Existing SM products do not yet meet the demands for high spatiotemporal resolution. The objective is to develop and evaluate a retrieval framework to derive SM estimates with high spatial (100 m) and temporal (<3 days) resolution that can be used on a national scale in China. Therefore, this study integrates multi-source data, including optical remote sensing (RS) data from Sentinel-2 and Landsat-7/8/9, synthetic aperture radar (SAR) data from Sentinel-1, a

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Van Deusen, Kaylyn, Mark A. Prince, Anna J. Esbensen, et al. "Profiles of Caregiver-Reported Executive Function in Children with Down Syndrome." Brain Sciences 12, no. 10 (2022): 1333. http://dx.doi.org/10.3390/brainsci12101333.

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Children with Down syndrome (DS) are at risk for challenges with aspects of executive function (EF). The current study explores whether heterogeneity in EF profiles can be detected within a sample of children with DS. Participants were 69 children with DS, ages 3–10 years (M = 6.23, SD = 1.91). T-scores from a caregiver-report measure of executive function were modeled using latent profile analysis, and auxiliary analyses examined the association between demographic and biomedical factors and probability of profile membership. The two-profile solution was the best fit for the sample, with a pr

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RAMESH, R. "R2M: A RECONFIGURABLE REWRITE MACHINE." Parallel Processing Letters 04, no. 01n02 (1994): 171–80. http://dx.doi.org/10.1142/s0129626494000181.

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Term rewriting is a popular computational paradigm for symbolic computations such as formula manipulation, theorem proving and implementations of nonprocedural programming languages. In rewriting, the most demanding operation is repeated simplification of terms by pattern matching them against rewrite rules. We describe a parallel architecture, R2M, for accelerating this operation. R2M can operate either as a stand-alone processor using its own memory or as a backend device attached to a host using the host’s main memory. R2M uses only a fixed number (independent of input size) of processing u

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Savir, Jacob. "BIST Analysis of an Embedded Memory Associated Logic." VLSI Design 12, no. 4 (2001): 563–78. http://dx.doi.org/10.1155/2001/91710.

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Of late some interesting and useful work has been done on the problem of testing logic surrounding embedded memories. This work assumes that the logic surrounding the memory is functionally partitioned and that the different partitions are logically isolated one from the other.This paper expands upon past work using a more flexible design rule which allows feed-forward connections between the data-path Prelogic and Postlogic. The connections are such that there is no feedback from the memory outputs to its inputs, and both the Prelogic and the Postlogic are disconnected from the Address and Co

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Shen, Siqi, Jie Ding, Shuyu Zhang, Deyou Gao, Zhijie Bao, and Songyi Lin. "Screening and molecular interaction machine investigation of fish scale collagen novel auxiliary memory-improving peptides." Food Bioscience 63 (January 2025): 105650. https://doi.org/10.1016/j.fbio.2024.105650.

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Cheol Choi, Kyung, B. J. Shin, and Ki-Woong Whang. "Improved pulsed-memory dc plasma display with non-discharge pulses applied to the auxiliary anode." Journal of the Society for Information Display 1, no. 3 (1993): 353. http://dx.doi.org/10.1889/1.1984885.

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