GÖRKEM AKGÖZ, “IN THE SHADOW OF WAR AND EMPIRE: INDUSTRIALISATION, NATION BUILDING, AND WORKING-CLASS POLITICS IN TURKEY” by Ivana Hadjievska

“…The author offers successful attempts to debunk older official historiographical narratives regarding memory and ideology about workers' lives and relations on the factory shop-floor in the period from the beginning of the 20th century to the mid-1950s.…”
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Alternative Forms of the Rey Auditory Verbal Learning Test: A Review by Keith A. Hawkins, David Dean, Godfrey D. Pearlson

“…Practice effects in memory testing complicate the interpretation of score changes over repeated testings, particularly in clinical applications. …”
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Drawing Theory. An Introduction by Stefano Milani, Marc Schoonderbeek

“…This singular character probably belongs to drawing’s structural duality of being simultaneously a simulacrum of a reality and reality itself, memory and anticipation, subject and object, by being in essence the measure of two different facets inherent to architectural thinking. …”
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On Generalization Based on Bi et al. Iterative Methods with Eighth-Order Convergence for Solving Nonlinear Equations by Taher Lotfi, Alicia Cordero, Juan R. Torregrosa, Morteza Amir Abadi, Maryam Mohammadi Zadeh

“…Consequently, it satisfies Kung and Traub’s conjecture relevant to construction optimal methods without memory. Moreover, some concrete methods of this class are shown and implemented numerically, showing their applicability and efficiency.…”
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Il tempo, il racconto, la scienza e il drago. I libri postumi di Antonino Buttitta e un ricordo di Alberto Sobrero by Federico Scarpelli

“…The shared dimension of intentionality and language – which particularly emerges in Sobrero’s reflections on narration and on Buttitta’s reflections on memory – allows both to read individual existence within collective historical frames that give it meaning and depth, and which can also represent a secular idea of survival.…”
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Hall deflection of spin-current driven skyrmion and its modulation by Yu Wang, Jingguo Hu

“…However, the application of skyrmion in novel information memory is limited by the Hall deflection originating from its topological structure. …”
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Filiation et novum temporel : le cas d’Interstellar et d’Arrival by Simon Bréan

“…In these two films, the relationship to time is discreetly linked to the metaphor of emotional memory. This allows the directors to build on a common experience, which is the relative persistence of memories according to the emotional intensity attached to them. …”
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Multilevel Thresholding for Image Segmentation Using Mean Gradient by Abubakar M. Ashir

“…These challenges present difficulties in the choice of the algorithm to use, and sometimes, it is practically impossible to implement these algorithms in a low-capacity hardware application where computational power and memory utilization are of great concern. In this study, a simple yet effective and noniterative global and bilevel thresholding technique is proposed. …”
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The Contemporary Museum as a Site for Displaying Values by Mare Kõiva

“…In contemporary society the institution serves many important roles, being a place for displaying historical and contemporary values, an institution for preserving and displaying personal and collective memory, cultural values, for collecting tangible and intangible values, an institution for creating identity and ethnic kudos, a work place, an educational environment, a framework for promoting ethnic handicraft and art, a place for integrating different folklore festivals, exhibitions, shows; they are connected to tourism patterns and museum business. …”
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Double array system identification research based on LSTM neural network by Chunhua Gao, Mingyang Wang, Yifei Sima, Zihan Yuan

“…To efficiently address the complex nonlinear problems associated with earthquake simulation shaking array systems, this paper proposes the identification of the earthquake simulation shaking array system using the Long Short-Term Memory (LSTM) algorithm. A dual array system model with flexible specimen connections is established, and this system is identified using the LSTM neural network. …”
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“At the still point of the turning world:” T.S. Eliot and Gilles Deleuze by Zekiye ANTAKYALIOGLU

“…A comparison between Eliot’s views of time, memory and perception and those of Deleuze may bring to light some resemblances. …”
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A Prediction Method for the RUL of Equipment for Missing Data by Chen Wenbai, Liu Chang, Chen Weizhao, Liu Huixiang, Chen Qili, Wu Peiliang

“…We present a prediction framework to estimate the remaining useful life (RUL) of equipment based on the generative adversarial imputation net (GAIN) and multiscale deep convolutional neural network and long short-term memory (MSDCNN-LSTM). The method we proposed addresses the problem of missing data caused by sensor failures in engineering applications. …”
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La Révolte de Bû Ziyân en Algérie, 1849 by Julia Clancy-Smith

“…And finally, what does this revolt in a small oasis reveal about collective memory - about the intersections between oral culture/traditions, rumors and written texts concerning the advent of the mahdi ? …”
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Vite in pezzi, corpi integri. Geografie sociali della migrazione e della homelessness a Roma Termini by Silvia Antinori

“…What will be attempted to bring to light, through an ethnography that searches beneath the layers of produced invisibility, are multiple social geographies, aggregative practices, forms of memory and claims to “wholeness” of - material and social – bodies, even in and for death; meaningful relationships that in the fragmented spaces of the margin, usually considered “non-places”, take shape.…”
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Coarse-Grained Column Agglomeration Parallel Algorithm for LU Factorization Using Multi-Threaded MATLAB by Osama Sabir, Reza Alebrahim

“…Different algorithms were implemented in a four-core Xeon E3-1220 v3 @ 3.10 GHz CPU with 16 GB RAM memory.…”
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Deduplication algorithm based on condensed nearest neighbor rule for deduplication metadata by Wen-bin YAO, Peng-di YE, Xiao-yong LI, Jing-kun CHANG

“…Building effective deduplication index in the memory could reduce disk access times and enhance chunk fingerprint lookup speed,which was a big challenge for deduplication algorithms in massive data environments.As deduplication data set had many samples with high similarity,a deduplication algorithm based on condensed nearest neighbor rule,which was called Dedup²,was proposed.Dedup²uses clustering algorithm to divide the original deduplication metadata into several categories.According to these categories,it employs condensed nearest neighbor rule to remove the highest similar data in the deduplication metadata.After that it can get the subset of deduplication metadata.Based on this subset,new data objects will be deduplicated based on the principle of data similarity.The results of experiments show that Dedup²can reduce the size of deduplication data set more than 50% effectively while maintain similar deduplication ratio.…”
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El Esthesioneuroblastoma: the impact of brain oncological disease on neuropsychological changes – Clinical Case Study by Charles Ysaacc Da Silva Rodrigues

“…Results: In the preoperative evaluation, significant alterations were verified for attention, memory, executive functions and all areas of emotional regulation. …”
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Action recognition method based on fusion of skeleton and apparent features by Hongyan WANG, Hai YUAN

“…Focusing on the issue that traditional skeletal feature-based action recognition algorithms were not easy to distinguish similar actions, an action recognition method based on the fusion of deep joints and manual apparent features was considered.The joint spatial position and constraints was firstly input into the long short-term memory (LSTM) model equipped with spatio-temporal attention mechanism to acquire spatio-temporal weighted and highly separable deep joint features.After that, heat maps were introduced to locate the key frames and joints, and manually extract the apparent features around the key joints that could be considered as an effective complement to the deep joint features.Finally, the apparent features and the deep skeleton features could be fused frame by frame to achieve effectively discriminating similar actions.Simulation results show that, compared with the state-of-the-art action recognition methods, the proposed method can distinguish similar actions effectively and then the accuracy of action recognition is promoted rather obviously.…”
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Controlled Sink Mobility Algorithms for Wireless Sensor Networks by Metin Koç, Ibrahim Korpeoglu

“…Although WSNs have limitations in terms of memory and processors, the main constraint that makes WSNs different from traditional networks is the battery problem which limits the lifetime of a network. …”
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Les Karaboro et le rônier by Ali Bene, Anne Fournier

“…Despite the Karaboro’s poor historical memory of this subject, the hypothesis that they were the pioneers of the cultivation of the palmyra palm in this region seems to be valid. …”
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