'Russians worship intelligence' (220th anniversary of the USSR Academy of Sciences in the perception of a Canadian scientist) by V.P. Korzun, D.M. Kolevatov

“…Innis to study Russia, as well as the interlocutors, informants, and places of memory that shaped his vision of Russia as a “mysterious country” were analyzed. …”
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The Stochastic Resonance Behaviors of a Generalized Harmonic Oscillator Subject to Multiplicative and Periodically Modulated Noises by Suchuan Zhong, Kun Wei, Lu Zhang, Hong Ma, Maokang Luo

“…In this paper, we consider a generalized Langevin equation (GLE) driven by an internal noise with long-memory and long-range dependence, such as fractional Gaussian noise (fGn) and Mittag-Leffler noise (M-Ln). …”
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Sex-specific discrimination of familiar and unfamiliar mates in the Tokay gecko by Marie-Ornélia Verger, Maëlle Devillebichot, Eva Ringler, Birgit Szabo

“…This recognition ability varies across species and is influenced by cognitive capacities such as learning and memory. In reptiles, particularly Squamates (lizards, snakes, and worm lizards), chemical communication is pivotal for territoriality, reproduction, and other social interactions. …”
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Measuring Fluid Intelligence in Healthy Older Adults by Mohammed K. Shakeel, Vina M. Goghari

“…Raven’s Advanced Progressive Matrices (RAPM) were used to measure fluid intelligence, Digit Span Sequencing (DSS) was used to measure working memory, Trail Making Test (TMT) was used to measure cognitive flexibility, Design Fluency Test (DFT) was used to measure creativity, and Tower Test (TT) was used to measure planning. …”
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TREM1—Microglia crosstalk: Neurocognitive disorders by Huashan Li, Wanqiu Yu, Xue Zheng, Zhaoqiong Zhu

“…Neurocognitive Disorders (NCDs) primarily affect cognitive functions, including learning, memory, perception, and problem-solving. They predominantly arise as pathological sequelae of central nervous system (CNS) disorders. …”
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Scattering and Doppler Spectral Analysis for a Fast-Moving Target above Time-Varying Lossy Dielectric Sea Surface by Ke Li, Lixin Guo, Juan Li

“…The monostatic normalized radar cross section of composite model by the hybrid PO-PO method is calculated and compared with those by the conventional method of moments, as well as the runtime and memory requirements. The results are found to be in good agreement. …”
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HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals by Oanh Nguyen

“…The combination of Recurrent Neural Networks (RNN) means Long Term Short Memory (LSTM) and new kinds of Convolutional Neural Networks (CNN) means Atrous Spatial Pyramid Pooling (ASPP) deep learning methods considered for HSSCIoT.…”
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Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

“…Furthermore, the bidirectional long-short-term memory RNN framework delivered high accuracy results in all weather conditions, especially under cloudy weather conditions where root mean square error (RMSE) was found lowest 0.0025, R square stands at 0.99, and coefficient of variation of root mean square error (RMSE) Cv was observed 0.0095%.…”
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Evidence for a general cognitive structure in pigeons (Columba livia) by Mary Flaim, Aaron P. Blaisdell

“…We created a test battery that assessed different domains, including associative learning, memory, cognitive flexibility, and reaction time. …”
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Struggle for Liberation of the Peoples of Yugoslavia (Belgrade Operation) by N. F. Azyasskiy

“…Given the importance of preserving the memory for the present and future generations an example of joint struggle of our people against the common enemy it is necessary to recall the Belgrade offensive in 1944, as one of the most important events in the history of the World War II. …”
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Religião de matriz africana em São José de Ribamar/MA e a experiência de visitação acadêmica by Linda Maria Rodrigues, Elizandra Rocha

“…The Terreiros were identified as spaces of memory, which bring identity traits of cultural resistance of peoples and ethnic groups in Maranhão, as a real possibility of visibility and balanced conduction of future markets for the sector.…”
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Approach to Predict Land Subsidence in Old Goafs considering the Influence of Engineering Noise by Chao Du, Fajin Zu, Chunpeng Han

“…In order to reduce the influence of engineering noise on the accuracy of subsidence prediction, it is proposed to use the Daubechies (DB) wavelet to decompose the original subsidence time series; the items with the low-frequency trend, after decomposition, are predicted using long short-term memory (LSTM) model, items with high-frequency noise used the autoregressive (AR) time series model to make predictions, and the prediction results of the low-frequency trend term and the high-frequency noise term are summed to obtain the total time series predicted value. …”
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Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs by Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

“…Many-core platforms such as GPUs are also promising towards computational time reduction for larger problems despite the limitations of lower clock speed and device memory. This lends credence to the use of highfidelity models (in place of reduced order models) for control and optimization of particulate processes.…”
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Factsheet: West Sea Crisis In Korea by John McGlynn, Nan Kim

“…Nan Kim is assistant professor of history at the University of Wisconsin, Milwaukee and a specialist on modern Korean war memory.…”
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Recognition of Transportation State by Smartphone Sensors Using Deep Bi-LSTM Neural Network by Hong Zhao, Chunning Hou, Hala Alrobassy, Xiangyan Zeng

“…The deep Bi-LSTM (bidirectional long short-term memory) neural network structure, the crowd-sourcing model, and the TensorFlow deep learning system are used to classify the transportation states. …”
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Chronic Social Defeat Stress Modulates Dendritic Spines Structural Plasticity in Adult Mouse Frontal Association Cortex by Yu Shu, Tonghui Xu

“…Our findings suggest that chronic stress experience leads to adaptive change in neural circuits that may be important for encoding stress experience related memory and anhedonia.…”
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Foreign Studies of the Neuropsychological and Biological Bases of Aggressive Behavior by K.M. Shipkova, S.V. Shport, V.G. Bulygina

“…The article raises the question of the role of memory disorders in the evolution of aggressive behaviour. …”
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Selection of adaptive strategies in child development through modeling of the Neutrosophic VIKOR method by Gandy Francisco Álvarez Enríquez, Jimmy Fausto Aguirre Solórzano, Jorge Marcelo Thumb Chávez, Odalis Yadira Almeida Huertas

“…The first promoted autonomy, creativity, and social skills, while the second enhanced coordination, memory, and emotional expression. In conclusion, both strategies, when adapted to individual needs, have demonstrated a positive impact in school and family environments, providing a solid foundation for future educational policies focused on child well-being.…”
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THE TOURISM POTENTIAL AND EFFECTIVE MANAGEMENT OF RURAL HERITAGE ASSETS THROUGH THEME ROUTES by Tibor Gonda, Monika Pentz

“…The past, which cannot be erased from human memory, is also a resource that is constantly renewed. …”
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Abnormal traffic detection method based on LSTM and improved residual neural network optimization by Wengang MA, Yadong ZHANG, Jin GUO

“…Problems such as a difficulty in feature selection and poor generalization ability were prone to occur when traditional method was exploited to detect abnormal network traffic.Therefore, an abnormal traffic detection method based on the long short term memory network (LSTM) and improved residual neural network optimization was proposed.Firstly, the features and attributes of network traffic were analyzed, and the variability of the feature values was reduced by preprocessing of network traffic.Then, a three-layer stacked LSTM network was designed to extract network traffic features of different depths.Moreover, the problem of weak adaptability of feature extraction was solved.Finally, an improved residual neural network with skipping connecting line was designed to optimize the LSTM.The defects of deep neural network such as overfitting and gradient vanishing were optimized.The accuracy of abnormal traffic detection was improved.Experimental results show that the proposed method has higher training accuracy and better visibility of data processing.The classification accuracy rates under two classifications and multiple classifications are 92.3% and 89.3%.It has the lowest false positive rate when the parameters such as precision rate and recall rate are optimal.Moreover, it has strong robustness when the sample is destroyed.Furthermore, better generalization ability can be achieved.…”
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