Le gameplay comme prolongement de la construction narrative by Alain Zind

“…In other words, the purpose is to observe how, in certain cases, game experience can fully contribute to build the videogame narration, while questionning different terms, such as actors, authors, individual and collective memory.…”
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Signification politique du climat by Bernard Lamizet

“…The notion of climate promotes a political view of space and time, one that evokes particular representations of history, memory, forecast and sustainable development. It also imposes a particular form of limitation on the powers that be, constrains political and media discourses, and conjures up the specter of violence. …”
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Transcranial Magnetic Stimulation to Address Mild Cognitive Impairment in the Elderly: A Randomized Controlled Study by Hellen Livia Drumond Marra, Martin Luiz Myczkowski, Cláudia Maia Memória, Débora Arnaut, Philip Leite Ribeiro, Carlos Gustavo Sardinha Mansur, Rodrigo Lancelote Alberto, Bianca Boura Bellini, Adriano Alves Fernandes da Silva, Gabriel Tortella, Daniel Ciampi de Andrade, Manoel Jacobsen Teixeira, Orestes Vicente Forlenza, Marco Antonio Marcolin

“…Transcranial magnetic stimulation (TMS) is a noninvasive brain stimulation technique with potential to improve memory. Mild cognitive impairment (MCI), which still lacks a specific therapy, is a clinical syndrome associated with increased risk of dementia. …”
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A Novel Discrete Global-Best Harmony Search Algorithm for Solving 0-1 Knapsack Problems by Wan-li Xiang, Mei-qing An, Yin-zhen Li, Rui-chun He, Jing-fang Zhang

“…Next, we present a novel improvisation process based on intuitive cognition of improvising a new harmony, in which the best harmony of harmony memory (HM) is used to guide the searching direction of evolution during the process of memory consideration, or else a harmony is randomly chosen from HM and then a discrete genetic mutation is done with some probability during the phase of pitch adjustment. …”
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Application of an Internet of Things Oriented Network Education Platform in English Language Teaching by Huizhen Li

“…In view of the problems of poor teaching effect and high energy consumption in the traditional Internet of Things education platform, this paper puts forward a teaching effect evaluation method of Internet of Things education platform based on long-term memory network. By analyzing the current situation of the Internet of Things education platform, including its development and structure, this paper constructs the evaluation model of the combination of long-term memory neural network model and gray model and realizes the evaluation of the teaching effect of the Internet of Things education platform. …”
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Fall Detection Based on Continuous Wave Radar Sensor Using Binarized Neural Networks by Hyeongwon Cho, Soongyu Kang, Yunseong Sim, Seongjoo Lee, Yunho Jung

“…The proposed method achieved 93.1% accuracy in binary classification of five fall actions and six non-fall actions. The memory requirements for storing parameters were reduced to 11.9 KB, representing a reduction of up to 99.9% compared with previous studies.…”
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Effect of Donepezil on Group II mGlu Receptor Agonist- or Antagonist-Induced Amnesia on Passive Avoidance in Mice by Tomoaki Sato, Koh-ichi Tanaka, Yoshiko Ohnishi, Masahiro Irifune, Takashige Nishikawa

“…The results suggest that activation of group II mGlu receptors and disinhibition of the cAMP/PKA signaling pathway (caused by group II mGlu receptor antagonist) have a negative action on step-through passive avoidance memory performance, and that group II mGlu receptors and ACh interact to modulate learning and memory function.…”
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Comparison of age-related decline in C57BL/6J and CB6F1J male mice. by Gerald Yu Liao, Christina Pettan-Brewer, Warren Ladiges

“…In behavioral assays, C57BL/6J mice displayed superior performance in rotarod tasks but higher anxiety while CB6F1J mice exhibited a decline in short-term memory with age. Grip strength, long-term memory, and voluntary wheel running declined similarly with age in both strains. …”
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Cognitive Strategies and Physical Activity in Older Adults: A Discriminant Analysis by Nathalie André, Claude Ferrand, Cédric Albinet, Michel Audiffren

“…A stepwise discriminant analysis selected five predictor variables (age, perceived health status, barriers’ self-efficacy, internal memory, and attentional control strategies) of the level of PA. …”
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Universal validity of the second law of information thermodynamics by Shintaro Minagawa, M. Hamed Mohammady, Kenta Sakai, Kohtaro Kato, Francesco Buscemi

“…However, previous studies in this direction have made several assumptions, particularly about the feedback process and the demon’s memory readout, and thus arrived at statements that are not universally applicable and whose range of validity is not clear. …”
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Exploring Shared SRAM Tables in FPGAs for Larger LUTs and Higher Degree of Sharing by Ali Asghar, Muhammad Mazher Iqbal, Waqar Ahmed, Mujahid Ali, Husain Parvez, Muhammad Rashid

“…A part of this area overhead comes from the increased amount of configuration memory which rises exponentially as the LUT size increases. …”
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Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion by Yongjun Qi, Hailin Tang, Altangerel Khuder

“…In order to quickly and accurately detect and maintain the fan blades, based on the intelligent big data from the environment, we propose the convolutional neural network model to solve the problem of low recognition rate due to the lack of feature extraction in the fan blade crack image, and the long short-term memory network (Long Short-Term Memory, LSTM) convolutional neural network model, and the dimensionality reduction of the captured image data, which is beneficial to improve the recognition rate of the picture and reduce the loss rate of the picture through the detection model’s suitable recognition of complex background problems such as target occlusion and overlap. …”
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Association of Subjective Cognitive Concerns With Performance on Mobile App–Based Cognitive Assessment in Cognitively Normal Older Adults: Observational Study by Caroline O Nester, Alyssa N De Vito, Sarah Prieto, Zachary J Kunicki, Jennifer Strenger, Karra D Harrington, Nelson Roque, Martin J Sliwinski, Laura A Rabin, Louisa I Thompson

“…MethodsParticipants (N=122; Meanageeducation ResultsSCC was not associated with app satisfaction or protocol motivation, but it was significantly associated with lower rates of protocol adherence (ß=−.20, PP ConclusionsSCCs are associated with worse overall memory performance on mobile app assessments, patterns of cognitive inefficiency (variable working memory), and mildly diminished adherence across an 8-day assessment period. …”
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Sentence Context and Word-Picture Cued-Recall Paired-Associate Learning Procedure Boosts Recall in Normal and Mild Alzheimer’s Disease Patients by Rosario Iodice, Juan José García Meilán, Juan Carro Ramos, Jeff A. Small

“…Word-picture and sentence context strengthen the encoding in the explicit memory task, both in HOA and mild AD. These results open a potential window to improve the memory for verbalized instructions and restore sequential abilities in everyday life, such as brushing one’s teeth, fastening one’s pants, or drying one’s hands.…”
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A Single Bout of Aerobic Exercise Impact to Consolidation of Bilateral Movements in Older Adults by Florinta Čičirkaitė, Rima Solianik

“…A single 20-minute bout of moderate-intensity aerobic exercise can be used as an effective method to improve the consolidation of bilateral asymmetric and symmetric movements in long-term memory in older adults. Keywords: exercise, motor memory, motor skill, seniors. …”
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Protective Effect of Melatonin on Nonylphenol-Induced Reproductive and Behavioral Disorders in First-Generation Adult Male Rats by Mahsa Tavakoli, Ali Akbar Moghadamnia, Fereshteh Pourabdolhossein, Mohammad Hossein Asghari, Sohrab Kazemi

“…Morris water maze was used to assess learning and memory. NP concentrations of serum and testicular tissue were measured by HPLC. …”
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A Workload-Adaptive and Reconfigurable Bus Architecture for Multicore Processors by Shoaib Akram, Alexandros Papakonstantinou, Rakesh Kumar, Deming Chen

“…Finally, we present the performance sensitivity of the proposed interconnect architecture on shared memory bandwidth availability.…”
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GRU-based multi-scenario gait authentication for smartphones by Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI

“…At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user changes in different scenarios, and the user’s gait data collected by the orientation-sensitive sensor will be biased accordingly.Therefore, it has become an urgent problem to provide a multi-scenario high-accuracy gait authentication method for smartphones.In addition, the selection of the model training algorithm determines the accuracy and efficiency of gait authentication.The current popular authentication model based on long short-term memory (LSTM) network can achieve high authentication accuracy, but it has many training parameters, large memory footprint, and the training efficiency needs to be improved.In order to solve the above problems a multi-scenario gait authentication scheme for smartphones based on Gate Recurrent Unit (GRU) was proposed.The gait signals were preliminarily denoised by wavelet transform, and the looped gait signals were segmented by an adaptive gait cycle segmentation algorithm.In order to meet the authentication requirements of multi-scenario, the coordinate system transformation method was used to perform direction-independent processing on the gait signals, so as to eliminate the influence of the orientation of the smartphone and the movement of the user on the authentication result.Besides, in order to achieve high-accuracy authentication and efficient model training, GRUs with different architectures and various optimization methods were used to train the gait model.The proposed scheme was experimentally analyzed on publicly available datasets PSR and ZJU-GaitAcc.Compared with the related schemes, the proposed scheme improves the authentication accuracy.Compared with the LSTM-based gait authentication model, the training efficiency of the proposed model is improved by about 20%.…”
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Using a Novel Fractal-Time-Series Prediction Model to Predict Coal Consumption by Guodang Zhao, Xuyang Guo, Xin Wang, Dezhi Zheng

“…The Hurst index is 0.8025, exceeding 0.5, indicating that the time-series data CC/GDP has a long memory and fractal characteristic. Based on this, this paper uses the FTSP model to predict China’s coal consumption (CC/GDP). …”
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Machine Learning Enabled High‐Throughput Screening of 2D Ultrawide Bandgap Semiconductors for Flexible Resistive Materials by Chi Chen, Hao Wang, Houzhao Wan, Dan Sun

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