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Journal articles on the topic 'Race Model Architecture'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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1

Townsend, James T., and Georgie Nozawa. "Serial exhaustive models can violate the race model inequality: Implications for architecture and capacity." Psychological Review 104, no. 3 (1997): 595–602. http://dx.doi.org/10.1037/0033-295x.104.3.595.

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Samuel, Arthur G. "Merge: Contorted architecture, distorted facts, and purported autonomy." Behavioral and Brain Sciences 23, no. 3 (2000): 345–46. http://dx.doi.org/10.1017/s0140525x00443244.

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Norris, McQueen & Cutler claim that Merge is an autonomous model, superior to the interactive TRACE model and the autonomous Race model. Merge is actually an interactive model, despite claims to the contrary. The presentation of the literature seriously distorts many findings, in order to advocate autonomy. It is Merge's interactivity that allows it to simulate findings in the literature.

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Pugin, Konstantin V., Kirill A. Mamrosenko, and Alexander M. Giatsintov. "Software architecture for display controller and operating system interaction." Radioelectronics. Nanosystems. Information Technologies. 13, no. 1 (2021): 87–94. http://dx.doi.org/10.17725/rensit.2021.13.087.

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Article describes solutions for developing programs that provide interaction between Linux operating system and multiple display controller hardware blocks (outputs), that use one clock generation IP-block with phase-locked loop (PLL). There is no API for such devices in Linux, thus new software model was developed. This model is based on official Linux GPU developer driver model, but was modified to cover case described earlier. Article describes three models for display controller driver development – monolithic, component and semi-monolithic. These models cannot cover case described earlier

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Otto, Thomas U., and Pascal Mamassian. "Multisensory Decisions: the Test of a Race Model, Its Logic, and Power." Multisensory Research 30, no. 1 (2017): 1–24. http://dx.doi.org/10.1163/22134808-00002541.

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The use of separate multisensory signals is often beneficial. A prominent example is the speed-up of responses to two redundant signals relative to the components, which is known as the redundant signals effect (RSE). A convenient explanation for the effect is statistical facilitation, which is inherent in the basic architecture of race models (Raab, 1962,Trans. N. Y. Acad. Sci.24, 574–590). However, this class of models has been largely rejected in multisensory research, which we think results from an ambiguity in definitions and misinterpretations of the influential race model test (Miller,

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Maull, Thomas, and Adriano Schommer. "Optimizing Torque Delivery for an Energy-Limited Electric Race Car Using Model Predictive Control." World Electric Vehicle Journal 13, no. 12 (2022): 224. http://dx.doi.org/10.3390/wevj13120224.

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This paper presents a torque controller for the energy optimization of the powertrain of an electric Formula Student race car. Limited battery capacity within electric race car designs requires energy management solutions to minimize lap time while simultaneously controlling and managing the overall energy consumption to finish the race. The energy-managing torque control algorithm developed in this work optimizes the finite onboard energy from the battery pack to reduce lap time and energy consumption when energy deficits occur. The longitudinal dynamics of the vehicle were represented by a l

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Marewski, Julian N., and Katja Mehlhorn. "Using the ACT-R architecture to specify 39 quantitative process models of decision making." Judgment and Decision Making 6, no. 6 (2011): 439–519. http://dx.doi.org/10.1017/s1930297500002473.

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AbstractHypotheses about decision processes are often formulated qualitatively and remain silent about the interplay of decision, memorial, and other cognitive processes. At the same time, existing decision models are specified at varying levels of detail, making it difficult to compare them. We provide a methodological primer on how detailed cognitive architectures such as ACT-R allow remedying these problems. To make our point, we address a controversy, namely, whether noncompensatory or compensatory processes better describe how people make decisions from the accessibility of memories. We s

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Venkataratamani, Prasanna Venkhatesh, and Aditya Murthy. "Distinct mechanisms explain the control of reach speed planning: evidence from a race model framework." Journal of Neurophysiology 120, no. 3 (2018): 1293–306. http://dx.doi.org/10.1152/jn.00707.2017.

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Previous studies have investigated the computational architecture underlying the voluntary control of reach movements that demands a change in position or direction of movement planning. Here we used a novel task in which subjects had to either increase or decrease the movement speed according to a change in target color that occurred randomly during a trial. The applicability of different race models to such a speed redirect task was assessed. We found that the predictions of an independent race model that instantiated an abort-and-replan strategy was consistent with all aspects of performanc

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Spataro, Davide, Donato D’Ambrosio, Giuseppe Filippone, Rocco Rongo, William Spataro, and Davide Marocco. "The new SCIARA-fv3 numerical model and acceleration by GPGPU strategies." International Journal of High Performance Computing Applications 31, no. 2 (2016): 163–76. http://dx.doi.org/10.1177/1094342015584520.

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This paper presents the parallel implementation, using the Compute Unified Device Architecture (CUDA) architecture, of the SCIARA-fv3 Complex Cellular Automata model for simulating lava flows. The computational model is based on a Bingham-like rheology and both flow velocity and the physical time corresponding to a computational step have been made explicit. The parallelization design has involved, among other issues, the application of strategies that can avoid incorrect computation results due to race conditions and achieving the best performance and occupancy of the underlying available har

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Pinho, João, Gabriel Costa, Pedro U. Lima, and Miguel Ayala Botto. "Learning-Based Model Predictive Control for Autonomous Racing." World Electric Vehicle Journal 14, no. 7 (2023): 163. http://dx.doi.org/10.3390/wevj14070163.

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In this paper, we present the adaptation of the terminal component learning-based model predictive control (TC-LMPC) architecture for autonomous racing to the Formula Student Driverless (FSD) context. We test the TC-LMPC architecture, a reference-free controller that is able to learn from previous iterations by building an appropriate terminal safe set and terminal cost from collected trajectories and input sequences, in a vehicle simulator dedicated to the FSD competition. One major problem in autonomous racing is the difficulty in obtaining accurate highly nonlinear vehicle models that cover

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Corneil, Brian D., and James K. Elsley. "Countermanding Eye-Head Gaze Shifts in Humans: Marching Orders Are Delivered to the Head First." Journal of Neurophysiology 94, no. 1 (2005): 883–95. http://dx.doi.org/10.1152/jn.01171.2004.

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The countermanding task requires subjects to cancel a planned movement on appearance of a stop signal, providing insights into response generation and suppression. Here, we studied human eye-head gaze shifts in a countermanding task with targets located beyond the horizontal oculomotor range. Consistent with head-restrained saccadic countermanding studies, the proportion of gaze shifts on stop trials increased the longer the stop signal was delayed after target presentation, and gaze shift stop-signal reaction times (SSRTs: a derived statistic measuring how long it takes to cancel a movement)

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Gopal, Atul, and Aditya Murthy. "Eye-hand coordination during a double-step task: evidence for a common stochastic accumulator." Journal of Neurophysiology 114, no. 3 (2015): 1438–54. http://dx.doi.org/10.1152/jn.00276.2015.

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Many studies of reaching and pointing have shown significant spatial and temporal correlations between eye and hand movements. Nevertheless, it remains unclear whether these correlations are incidental, arising from common inputs (independent model); whether these correlations represent an interaction between otherwise independent eye and hand systems (interactive model); or whether these correlations arise from a single dedicated eye-hand system (common command model). Subjects were instructed to redirect gaze and pointing movements in a double-step task in an attempt to decouple eye-hand mov

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Litschko, Christof, Stefan Brühmann, Agnes Csiszár, et al. "Functional integrity of the contractile actin cortex is safeguarded by multiple Diaphanous-related formins." Proceedings of the National Academy of Sciences 116, no. 9 (2019): 3594–603. http://dx.doi.org/10.1073/pnas.1821638116.

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The contractile actin cortex is a thin layer of filamentous actin, myosin motors, and regulatory proteins beneath the plasma membrane crucial to cytokinesis, morphogenesis, and cell migration. However, the factors regulating actin assembly in this compartment are not well understood. Using the Dictyostelium model system, we show that the three Diaphanous-related formins (DRFs) ForA, ForE, and ForH are regulated by the RhoA-like GTPase RacE and synergize in the assembly of filaments in the actin cortex. Single or double formin-null mutants displayed only moderate defects in cortex function wher

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He, Quan. "Research on Basketball Teaching Method Based on the Dynamic Access Control Model of SOA." Advanced Materials Research 791-793 (September 2013): 1445–49. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1445.

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With the development of computer information science and technology, mode controlled by dynamic access and feedback can adjust the effect of physical education and sports teaching process. Basketball elective course is one of the favorite sport programs of many students in college. The game teaching is a new teaching model which not only breaks the traditional boring teaching method but also uses race in teaching and training process. It not only can mobilize the students' interest and enthusiasm for learning but also can improve the efficiency of the students. The dynamic SOA access model is

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Guevara-Escudero, Melisa, Angy N. Osorio, and Andrés J. Cortés. "Integrative Pre-Breeding for Biotic Resistance in Forest Trees." Plants 10, no. 10 (2021): 2022. http://dx.doi.org/10.3390/plants10102022.

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Climate change is unleashing novel biotic antagonistic interactions for forest trees that may jeopardize populations’ persistence. Therefore, this review article envisions highlighting major opportunities from ecological evolutionary genomics to assist the identification, conservation, and breeding of biotic resistance in forest tree species. Specifically, we first discuss how assessing the genomic architecture of biotic stress resistance enables us to recognize a more polygenic nature for a trait typically regarded Mendelian, an expectation from the Fisherian runaway pathogen–host concerted a

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Setyabudi, Irawan, and Petrus Paulus Pain Pati. "PERMUKIMAN TRADISIONAL DI KAWASAN LANSKAP PANTAI DI SENDIKI, DESA TAMBAKREJO KECAMATAN SUMBERMANJING WETAN KABUPATEN MALANG." BUANA SAINS 19, no. 1 (2019): 69. http://dx.doi.org/10.33366/bs.v19i1.1528.

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Traditional settlements are places that still hold customary and cultural values related to beliefs or religion that are specific or unique to a particular society. In each region of Nusantara there are various cultures, and in it there are traditional settlements as identities. This research is located in the Sendiki beach area which is a tourist attraction in the southern Malang district, precisely in the village of Tambakrejo. The problem is the diminishing public awareness in preserving the existence of settlement forms because of the current of modernization. The unique settlement pattern

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Azarianpour Esfahani, Sepideh, Pingfu Fu, Haider Mahdi, and Anant Madabhushi. "Computational features of TIL architecture are differentially prognostic of uterine cancer between African and Caucasian American women." Journal of Clinical Oncology 39, no. 15_suppl (2021): 5585. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.5585.

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5585 Background: Although the vast majority of endometrial cancer (EC) is early-stage and thus, curable by surgery, chemotherapy, and radiotherapy (with at least 85% 5-year OS), a fraction of them are aggressive neoplasms such as high-grade or deeply invasive lesions and thus exhibit poor prognosis. African American (AA) women are disproportionately affected by high-grade EC and have 80% higher mortality rate compared with Caucasian American (CA) women. In this work, we evaluated the prognostic ability of computational measurements of architecture of tumor-infiltrating lymphocytes (ArcTIL) fro

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Ghaffarian, Mohammad Saeid, Gholamreza Moradi, Somayyeh Khajehpour, Mohammad Mahdi Honari, and Rashid Mirzavand. "Dual-Band/Dual-Mode Rat-Race/Branch-Line Coupler Using Split Ring Resonators." Electronics 10, no. 15 (2021): 1812. http://dx.doi.org/10.3390/electronics10151812.

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A novel dual-band/dual-mode compact hybrid coupler which acts as a dual-band branch-line coupler at the lower band and as a rat-race coupler at the higher band is presented in this paper. One of the most interesting features of the proposed structure is that outputs of the proposed coupler in each mode of operation are on the same side. This unique design is implemented using artificial transmission lines (ATLs) based on open split ring resonators (OSRR). The low-cost miniaturized coupler could be operated as a dual-band 90° branch-line coupler at 3.3 and 3.85 GHz and 180° rat-race coupler at

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Spielberg, Nathan A., Matthew Brown, Nitin R. Kapania, John C. Kegelman, and J. Christian Gerdes. "Neural network vehicle models for high-performance automated driving." Science Robotics 4, no. 28 (2019): eaaw1975. http://dx.doi.org/10.1126/scirobotics.aaw1975.

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Automated vehicles navigate through their environment by first planning and subsequently following a safe trajectory. To prove safer than human beings, they must ultimately perform these tasks as well or better than human drivers across a broad range of conditions and in critical situations. We show that a feedforward-feedback control structure incorporating a simple physics-based model can be used to track a path up to the friction limits of the vehicle with performance comparable with a champion amateur race car driver. The key is having the appropriate model. Although physics-based models a

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Azhar, M. Waqar, Miquel Pericàs, and Per Stenström. "Task-RM: A Resource Manager for Energy Reduction in Task-Parallel Applications under Quality of Service Constraints." ACM Transactions on Architecture and Code Optimization 19, no. 1 (2022): 1–26. http://dx.doi.org/10.1145/3494537.

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Improving energy efficiency is an important goal of computer system design. This article focuses on a general model of task-parallel applications under quality-of-service requirements on the completion time. Our technique, called Task-RM , exploits the variance in task execution-times and imbalance between tasks to allocate just enough resources in terms of voltage-frequency and core-allocation so that the application completes before the deadline. Moreover, we provide a solution that can harness additional energy savings with the availability of additional processors. We observe that, for the

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Salomatin, Aleksey Yu, and Natalya V. Makeeva. "Ethnic and Race Problems in a Federal State (Based on the Results of the U.S. Presidential Campaign of 2020)." Civil society in Russia and abroad 1 (March 11, 2021): 3–7. http://dx.doi.org/10.18572/2221-3287-2021-1-3-7.

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The United States, originally formed as a haven for immigrants of different ethnic and racial backgrounds, has felt the inefficiency of its famous «melting pot»since the beginning of the XXI century. In this ethnically-and racially-conflicted state, one of the long-standing problems was considered to be the problem of African-Americans, who after World War II dispersed outside the southern states. This problem was only partially solved, and the policy of positive discrimination in favor of blacks in recent years has become increasingly critical. At the same time, the country, in which the prop

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Zhang, Zhuosheng, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, and Rui Wang. "SG-Net: Syntax-Guided Machine Reading Comprehension." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9636–43. http://dx.doi.org/10.1609/aaai.v34i05.6511.

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For machine reading comprehension, the capacity of effectively modeling the linguistic knowledge from the detail-riddled and lengthy passages and getting ride of the noises is essential to improve its performance. Traditional attentive models attend to all words without explicit constraint, which results in inaccurate concentration on some dispensable words. In this work, we propose using syntax to guide the text modeling by incorporating explicit syntactic constraints into attention mechanism for better linguistically motivated word representations. In detail, for self-attention network (SAN)

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Yan, Yifan, and Weiwei Yu. "Cross-age face synthesis based on conditional adversarial autoencoder." Frontiers in Computing and Intelligent Systems 3, no. 1 (2023): 65–71. http://dx.doi.org/10.54097/fcis.v3i1.6026.

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Face aging aims to render face images with desired age attribute. It has tremendous impact to a wide-range of applications, e.g., criminal investigation, entertainment. The rapid development of generative adversarial networks (GANs) has shown impressive results in face aging. Among them, the Conditional Adversarial Autoencoder (CAAE) proposed in 2017 has achieved good results in face aging. However, the generated faces still have the problems that the aging features are not obvious and the identity information are not well maintained. In addition, research have shown that the human aging proce

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Singer, Uriel, and Kira Radinsky. "EqGNN: Equalized Node Opportunity in Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (2022): 8333–41. http://dx.doi.org/10.1609/aaai.v36i8.20808.

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Graph neural networks (GNNs), has been widely used for supervised learning tasks in graphs reaching state-of-the-art results. However, little work was dedicated to creating unbiased GNNs, i.e., where the classification is uncorrelated with sensitive attributes, such as race or gender. Some ignore the sensitive attributes or optimize for the criteria of statistical parity for fairness. However, it has been shown that neither approaches ensure fairness, but rather cripple the utility of the prediction task. In this work, we present a GNN framework that allows optimizing representations for the n

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Du, Wenliao, Ansheng Li, Pengfei Ye, and Chengliang Liu. "Fault Diagnosis of Plunger Pump in Truck Crane Based on Relevance Vector Machine with Particle Swarm Optimization Algorithm." Shock and Vibration 20, no. 4 (2013): 781–92. http://dx.doi.org/10.1155/2013/610235.

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Promptly and accurately dealing with the equipment breakdown is very important in terms of enhancing reliability and decreasing downtime. A novel fault diagnosis method PSO-RVM based on relevance vector machines (RVM) with particle swarm optimization (PSO) algorithm for plunger pump in truck crane is proposed. The particle swarm optimization algorithm is utilized to determine the kernel width parameter of the kernel function in RVM, and the five two-class RVMs with binary tree architecture are trained to recognize the condition of mechanism. The proposed method is employed in the diagnosis of

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Kyriakou, Kyriakos-Ioannis D., and Nikolaos D. Tselikas. "Complementing JavaScript in High-Performance Node.js and Web Applications with Rust and WebAssembly." Electronics 11, no. 19 (2022): 3217. http://dx.doi.org/10.3390/electronics11193217.

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We examine whether the novel systems programming language named Rust can be utilized alongside JavaScript in Node.js and Web-based applications development. The paper describes how JavaScript can be used as a high-level scripting language in combination with Rust in place of C++ in order to realize efficiency and be free of race conditions as well as memory-related software issues. Furthermore, we conducted stress tests in order to evaluate the performance of the proposed architecture in various scenarios. Rust-based implementations were able to outperform JS by 1.15 by over 115 times across t

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Luitse, Dieuwertje, and Wiebke Denkena. "The great Transformer: Examining the role of large language models in the political economy of AI." Big Data & Society 8, no. 2 (2021): 205395172110477. http://dx.doi.org/10.1177/20539517211047734.

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In recent years, AI research has become more and more computationally demanding. In natural language processing (NLP), this tendency is reflected in the emergence of large language models (LLMs) like GPT-3. These powerful neural network-based models can be used for a range of NLP tasks and their language generation capacities have become so sophisticated that it can be very difficult to distinguish their outputs from human language. LLMs have raised concerns over their demonstrable biases, heavy environmental footprints, and future social ramifications. In December 2020, critical research on L

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Jacqueline, Sébastien, Catherine Bunel, and Laurent Lengignon. "Enhancement of ESD performances of Silicon Capacitors for RFID solutions." International Symposium on Microelectronics 2020, no. 1 (2020): 000085–89. http://dx.doi.org/10.4071/2380-4505-2020.1.000085.

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Abstract Radio-Frequency IDentification devices such as smart cards and RFID tags are based on the presence of a resonant tuned LC circuit associated to the RFID Integrated Circuit (IC). The use of discrete capacitor, external to the IC gives greater flexibility and design freedom. In the race of miniaturization, manufacturers of RFID devices always require smaller electronic components. To save space and in the same time improve performances, capacitors are exposed to height and volume constraints. In the same time, the capacitor has to withstand ESD stresses that can occur during the assembl

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Rajan, Sanju, and Linda Joseph. "An Adaptable Optimal Network Topology Model for Efficient Data Centre Design in Storage Area Networks." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 2s (2023): 43–50. http://dx.doi.org/10.17762/ijritcc.v11i2s.6027.

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In this research, we look at how different network topologies affect the energy consumption of modular data centre (DC) setups. We use a combined-input directed approach to assess the benefits of rack-scale and pod-scale fragmentation across a variety of electrical, optoelectronic, and composite network architectures in comparison to a conventional DC. When the optical transport architecture is implemented and the appropriate resource components are distributed, the findings reveal fragmentation at the layer level is adequate, even compared to a pod-scale DC. Composable DCs can operate at peak

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Hajtmanek, Roman, Peter Morgenstein, Tomáš Hubinský, Ján Legény, and Robert Špaček. "Determination of Solar-Surface-Area-to-Volume Ratio: Early Design Stage Solar Performance Assessment of Buildings." Buildings 13, no. 2 (2023): 296. http://dx.doi.org/10.3390/buildings13020296.

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One of the main targets of globally aimed strategies such as the UN-supported Race to Zero campaign or the European Green Deal is the decarbonisation of the building sector. The implementation of renewable energy sources in new urban structures, as well as the complex reconstruction of existing buildings, represents a key area of sustainable urban development. Supporting this approach, this paper introduces the solar-surface-area-to-volume ratio (Rsol) and the solar performance indicator (Psol), applicable for evaluation of the energy performance of basic building shapes at early design stages

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Goonetilleke, Samanthi C., Jeffrey P. Wong, and Brian D. Corneil. "Validation of a within-trial measure of the oculomotor stop process." Journal of Neurophysiology 108, no. 3 (2012): 760–70. http://dx.doi.org/10.1152/jn.00174.2012.

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The countermanding (or stop signal) task requires subjects try to withhold a planned movement upon the infrequent presentation of a stop signal. We have previously proposed a within-trial measure of movement cancellation based on neck muscle recruitment during the cancellation of eye-head gaze shifts. Here, we examined such activity after either a bright or dim stop signal, a manipulation known to prolong the stop signal reaction time (SSRT). Regardless of stop signal intensity, subjects generated an appreciable number of head-only errors during successfully cancelled gaze shifts (compensatory

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Angel Valenzuela Ygnacio, Luis, Margarita Giraldo Retuerto, and Laberiano Andrade-Arenas. "Mobile application with business intelligence to optimize the control process of tourist agencies." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (2023): 1708. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1708-1718.

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<span lang="EN-US">Currently, tourism companies do not have a strict control of clients, drivers, buses, guides and tickets; Drivers are known to drive at excessive speed and put their lives and the lives of their customers at risk, this occurs because drivers want to gain more passengers or race with a car from the same company. For this reason, the research work aims to optimize the travel control process for tourism companies by applying business intelligence. The kimball methodology was used, which allows making a dimensional model with dimensions and a central table of the process o

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Suliman, Y. A., J. E. Lund-Jacobsen, R. Christensen, L. E. Kristensen, and D. Furst. "POS0204-HPR THE ROLE OF ARTIFICIAL INTELLIGENCE IN DETECTING DISTINCTIVE FACIAL FEATURES IN PATIENTS WITH SYSTEMIC SCLEROSIS, A PILOT STUDY." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 327.2–328. http://dx.doi.org/10.1136/annrheumdis-2023-eular.3702.

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BackgroundScleroderma (SSc) is a rare autoimmune fibrosing multisystem disease with high rates of morbidity and mortality. Scleroderma is usually diagnosed by rheumatologists and/or dermatologists. However, a delay in disease recognition may occur due to a delay in referral, as internists and family physicians are not familiar with the disease and its features. Even though, the facial features of the disease are characteristic for scleroderma, diagnosis is usually based on other signs and symptoms (e.g., skin thickening on extremities), and confirmed with investigations such as autoantibody te

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Dang, Xiaochao, Lin Su, Zhanjun Hao, and Xu Shang. "Dynamic Offloading Method for Mobile Edge Computing of Internet of Vehicles Based on Multi-Vehicle Users and Multi-MEC Servers." Electronics 11, no. 15 (2022): 2326. http://dx.doi.org/10.3390/electronics11152326.

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With the continuous development of intelligent transportation system technology, vehicle users have higher and higher requirements for low latency and high service quality of task computing. The computing offloading technology of mobile edge computing (MEC) has received extensive attention in the Internet of Vehicles (IoV) architecture. However, due to the limited resources of the MEC server, it cannot meet the task requests from multiple vehicle users simultaneously. For this reason, making correct and fast offloading decisions to provide users with a service with low latency, low energy cons

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Park, Jiheum, Michael Artin, Kate E. Lee, et al. "Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer." Journal of Clinical Oncology 40, no. 16_suppl (2022): e16268-e16268. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e16268.

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e16268 Background: Pancreatic cancer (PC) has a uniquely poor survival rate due to the absence of proven and effective methods for early detection. We thus aimed to leverage recent advances in deep learning towards the task of inferring early risk of PC from longitudinal laboratory test data contained within Electronic Health Records (EHR) data. Methods: In this study, we develop a novel deep learning framework for incorporating longitudinal clinical data from EHR to infer risk for PC. This framework includes a novel training protocol, which enforces an emphasis on early detection by applying

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Williams, S., A. Seixas, G. Avirappattu, et al. "1058 Modeling Self-reported Sleep Duration And Hypertension Using Deep Learning Network: Analysis Of The National Health And Nutrition Examination Survey Data." Sleep 43, Supplement_1 (2020): A402. http://dx.doi.org/10.1093/sleep/zsaa056.1054.

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Abstract Introduction Epidemiologic data show strong associations between self-reported sleep duration and hypertension (HTN). Modeling these associations is suboptimal when utilizing traditional logistic regressions. In this study, we modeled the associations of sleep duration and HTN using Deep Learning Network. Methods Data were extracted from participants (n=38,540) in the National Health and Nutrition Examination Survey (2006-2016), a nationally representative study of the US civilian non-institutionalized population. Self-reported demographic, medical history and sleep duration were dete

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Ibrahim, Sarmad Khaleel, Nooruldeen Q. Ismaeel, and Saif A. Abdulhussien. "Comparison study of channel coding on non-orthogonal multiple access techniques." Bulletin of Electrical Engineering and Informatics 11, no. 2 (2022): 909–16. http://dx.doi.org/10.11591/eei.v11i2.3348.

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Some of the benefits of fifth-generation (5G) mobile communications include low latency, fast data rates, and increased amount of perceived service quality of users and base station capacity. The purpose of this paper is to solve some of the problems in the traditional mobile system by increasing the channel capacity, non-orthogonal multiple access (NOMA), has a chance of winning the race, power-domain NOMA (PD-NOMA) is widely used in but it requires a large power imbalance between the signals allocated to various users to work. This paper also proposes an improved mobile system model and comp

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Nyrkov, Anatoliy, Konstantin Ianiushkin, Andrey Nyrkov, Yulia Romanova, and Vagiz Gaskarov. "Data structures access model for remote shared memory." E3S Web of Conferences 244 (2021): 07001. http://dx.doi.org/10.1051/e3sconf/202124407001.

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Recent achievements in high-performance computing significantly narrow the performance gap between single and multi-node computing, and open up opportunities for systems with remote shared memory. The combination of in-memory storage, remote direct memory access and remote calls requires rethinking how data organized, protected and queried in distributed systems. Reviewed models let us implement new interpretations of distributed algorithms allowing us to validate different approaches to avoid race conditions, decrease resource acquisition or synchronization time. In this paper, we describe th

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Nawaz Jadoon, Rab, Mohsin Fayyaz, WuYang Zhou, Muhammad Amir Khan, and Ghulam Mujtaba. "PCOI: Packet Classification‐Based Optical Interconnect for Data Centre Networks." Mathematical Problems in Engineering 2020 (July 17, 2020): 1–11. http://dx.doi.org/10.1155/2020/2903157.

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To support cloud services, Data Centre Networks (DCNs) are constructed to have many servers and network devices, thus increasing the routing complexity and energy consumption of the DCN. The introduction of optical technology in DCNs gives several benefits related to routing control and energy efficiency. This paper presents a novel Packet Classification based Optical interconnect (PCOI) architecture for DCN which simplifies the routing process by classifying the packet at the sender rack and reduces energy consumption by utilizing the passive optical components. This architecture brings some

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Kundu, Sourav, and Rajshekhar Singhania. "Forecasting the United States Unemployment Rate by Using Recurrent Neural Networks with Google Trends Data." International Journal of Trade, Economics and Finance 11, no. 6 (2020): 135–40. http://dx.doi.org/10.18178/ijtef.2020.11.6.679.

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We study the problem of obtaining an accurate forecast of the unemployment claims using online search data. The motivation for this study arises from the fact that there is a need for nowcasting or providing a reliable short-term estimate of the unemployment rate. The data regarding initial jobless claims are published by the US Department of labor weekly. To tackle the problem of getting an accurate forecast, we propose the use of the novel Long Short-Term Memory (LSTM) architecture of Recurrent Neural Networks, to predict the unemployment claims (initial jobless claims) using the Google Tren

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Krdzavac, Nenad, Dragan Gasevic, and Vladan Devedzic. "Model driven engineering of a tableau algorithm for description logics." Computer Science and Information Systems 6, no. 1 (2009): 23–43. http://dx.doi.org/10.2298/csis0901023k.

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This paper presents a method for implementing tableau algorithm for description logics (DLs). The architectures of the present DL reasoners such as RACER or FaCT were developed using programming languages as Java or LISP. The implementations are not based on original definition of the abstract syntax, but they require transformation of abstract syntax into concrete syntax implementation languages use. In order to address these issues, we propose the use of model-driven engineering principles for the development of a DL reasoner where a definition of a DL abstract syntax is provided by means of

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Abbott, Erik C., Alexandria Brenkmann, Craig Galbraith, et al. "Dependence of UO2 surface morphology on processing history within a single synthetic route." Radiochimica Acta 107, no. 12 (2019): 1121–31. http://dx.doi.org/10.1515/ract-2018-3065.

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AbstractThis study aims to determine forensic signatures for processing history of UO2based on modifications in intermediate materials within the uranyl peroxide route. Uranyl peroxide was calcined to multiple intermediate U-oxides including Am-UO3, α-UO3, and α-U3O8during the production of UO2. The intermediate U-oxides were then reduced to α-UO2via hydrogen reduction under identical conditions. Powder X-ray diffractometry (p-XRD) and X-ray photoelectron spectroscopy (XPS) were used to analyze powders of the intermediate U-oxides and resulting UO2to evaluate the phase and purity of the freshl

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Deng, Tianyang, Yu Niu, Lingfeng Yin, Zhiqiang Lin, and Zhanjie Li. "Load Distribution Optimization of Steel Storage Rack Based on Genetic Algorithm." Buildings 12, no. 11 (2022): 1782. http://dx.doi.org/10.3390/buildings12111782.

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The distribution of load has high uncertainty, which is the main cause of a rack structure’s instabilities. The objective of this study was to identify the most unfavorable and favorable load distributions on steel storage racks with and without bracings under seismic loading through a stochastic optimization—a genetic algorithm (GA). This paper begins with optimizing the most unfavorable and favorable load distributions on the steel storage racks with and without bracings using GA. Based on the optimization results, the failure position and seismic performance influencing factors, such as the

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Agus, Minarno Eko, Sasongko Yoni Bagas, Munarko Yuda, Nugroho Adi Hanung, and Zaidah Ibrahim. "Convolutional Neural Network featuring VGG-16 Model for Glioma Classification." JOIV : International Journal on Informatics Visualization 6, no. 3 (2022): 660. http://dx.doi.org/10.30630/joiv.6.3.1230.

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Magnetic Resonance Imaging (MRI) is a body sensing technique that can produce detailed images of the condition of organs and tissues. Specifically related to brain tumors, the resulting images can be analyzed using image detection techniques so that tumor stages can be classified automatically. Detection of brain tumors requires a high level of accuracy because it is related to the effectiveness of medical actions and patient safety. So far, the Convolutional Neural Network (CNN) or its combination with GA has given good results. For this reason, in this study, we used a similar method but wit

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Arviv, Eyal, Simo Hanouna, and Oren Tsur. "It’s a Thin Line Between Love and Hate: Using the Echo in Modeling Dynamics of Racist Online Communities." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 61–70. http://dx.doi.org/10.1609/icwsm.v15i1.18041.

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The (((echo))) symbol - triple parentheses surrounding a name, made it to mainstream social networks in early 2016, with the intensification of the U.S. Presidential race. It was used by members of the alt-right, white supremacists and internet trolls to tag people of Jewish heritage - a modern incarnation of the infamous yellow badge (Judenstern) used in Nazi-Germany. Tracking this trending meme, its meaning, and its function has proved elusive for its semantic ambiguity (e.g., a symbol for a virtual hug). In this paper we report of the construction of an appropriate dataset allowing the reco

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Di Rito, Gianpietro, Romain Kovel, Marco Nardeschi, Nicola Borgarelli, and Benedetto Luciano. "Minimisation of Failure Transients in a Fail-Safe Electro-Mechanical Actuator Employed for the Flap Movables of a High-Speed Helicopter-Plane." Aerospace 9, no. 9 (2022): 527. http://dx.doi.org/10.3390/aerospace9090527.

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The work deals with the model-based characterization of the failure transients of a fail-safe rotary EMA developed by Umbragroup (Italy) for the flap movables of the RACER helicopter-plane by Airbus Helicopters (France). Since the reference application requires quasi-static position-tracking with high disturbance-rejection capability, the attention is focused on control hardover faults which determine an actuator runaway from the commanded setpoint. To perform the study, a high-fidelity nonlinear model of the EMA is developed from physical first principles and the main features of health-monit

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Aliu, Nora, Vlora Aliu, and Modest Gashi. "9. Digital Technologies - The Future Way of Learning in Higher Education." Review of Artistic Education 26, no. 1 (2023): 285–92. http://dx.doi.org/10.2478/rae-2023-0039.

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Abstract Digitalization trends have moved forward with accelerated steps, surrounding all spheres of our lives with the provision of light services, faster and less expensive communications, more functions, and a great influence on increasing quality of life. In developed countries, digitization of education is seen as one of the priority goals for achieving sustainable development. Higher education is an essential pillar in developing new knowledge economies for the twenty-first century, and Kosovo national authorities are strategically oriented toward the digitalization of higher education.

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Meqdad, Maytham N., Hafiz Tayyab Rauf, and Seifedine Kadry. "Bone Anomaly Detection by Extracting Regions of Interest and Convolutional Neural Networks." Applied System Innovation 6, no. 1 (2023): 21. http://dx.doi.org/10.3390/asi6010021.

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The most suitable method for assessing bone age is to check the degree of maturation of the ossification centers in the radiograph images of the left wrist. So, a lot of effort has been made to help radiologists and provide reliable automated methods using these images. This study designs and tests Alexnet and GoogLeNet methods and a new architecture to assess bone age. All these methods are implemented fully automatically on the DHA dataset including 1400 wrist images of healthy children aged 0 to 18 years from Asian, Hispanic, Black, and Caucasian races. For this purpose, the images are firs

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Hossein Abbasi Abyaneh, Ali, Maizi Liao, and Seyed Majid Zahedi. "Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale." ACM SIGMETRICS Performance Evaluation Review 51, no. 1 (2023): 39–40. http://dx.doi.org/10.1145/3606376.3593550.

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We consider the problem of balancing the load among servers in dense racks for microsecond-scale workloads. To balance the load in such settings, tens of millions of scheduling decisions have to be made per second. Achieving this throughput while providing microsecond-scale latency is extremely challenging. To address this challenge, we design a fully decentralized load-balancing framework, which allows servers to collectively balance the load in the system. We model the interactions among servers as a cooperative stochastic game. To find the game's parametric Nash equilibrium, we design and i

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Fakhruzzaman, Muhammad Noor, and Sie Wildan Gunawan. "CekUmpanKlik: an artificial intelligence-based application to detect Indonesian clickbait." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1232. http://dx.doi.org/10.11591/ijai.v11.i4.pp1232-1238.

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This study attempted to deploy a high performing natural language processing model which specifically trained on flagging clickbait Indonesian news headline. The deployed model is accessible from any internet-connected device because it implements representational state transfer application programming interface (RESTful API). The application is useful to avoid clickbait news which often solely purposed to rack money but not delivering trustworthy news. With many online news outlets adopting the click-based advertising, clickbait headline become ubiquitous. Thus, newsworthy articles often clut

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Petrescu, Alexandru Radu. "7. Stylistic Considerations on Scene No. 8 from the Musical Performance PreȚioasele Ridicole [The Affected Young Ladies] by Vasile Spătărelu." Review of Artistic Education 21, no. 1 (2021): 46–55. http://dx.doi.org/10.2478/rae-2021-0007.

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Abstract Molière is one of the playwrights who not only marked and defined the seventeenth century in France, but, creator of the modern comedy and discoverer of the authentic comic, contributed fully to educating the public in his present and for the future. His comedies have stood the test of time, as they resonated with the audience, which found itself in them. In the twentieth century, his plays entered the artistic territories adjacent to the theater trough other creators, who turned them into film scripts and librettos for musical theater. The subject of our research is a fragment pertai

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