Construction of a Cuprotosis-Related Gene-Based Model to Improve the Prognostic Evaluation of Patients with Gastric Cancer by Chunyan Han, Kai Zhang, XinKai Mo

“…The plasma cells, monocytes, and mast cells in GC tissue were significantly less than those in adjacent tissue (p<0.05), while T cell CD4 memory activated macrophage M0, macrophage M1, and macrophages in GC tissue. …”
Get full text

Ways to improve the accuracy of the harmonic method for simulating two-dimensional signals by V.V. Syuzev, A.V. Proletarsky, D.A. Mikov, I.I. Deykin

“…A review of the literature on the existing methods for modeling multidimensional random fields is carried out, making it possible to compare these methods using criteria such as the complexity of the algorithm, computational costs and memory requirements, requirements for the covariance function and the grid. …”
Get full text

An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks by Zhen Wang, Anazida Zainal, Maheyzah Md Siraj, Fuad A. Ghaleb, Xue Hao, Shaoyong Han

“…However, it is not superior in terms of memory usage, execution speed and energy consumption.…”
Get full text

Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China by Fei Ma, Fei Ma, Qingbin Zhang, Lichun Sui

“…In this study, a method for residual subsidence prediction using an Exponential Smoothing Long Short-Term Memory (EsLSTM) model is proposed. The investigation centers on the 18,001# old goaf area of the Yangquan Coal Mine in Shanxi Province. …”
Get full text

Deep Recurrent Model for Server Load and Performance Prediction in Data Center by Zheng Huang, Jiajun Peng, Huijuan Lian, Jie Guo, Weidong Qiu

“…In this paper, we propose using RNN with long short-term memory (LSTM) units for server load and performance prediction. …”
Get full text

Toward an Executive Origin for Acquired Phonological Dyslexia: A Case of Specific Deficit of Context-Sensitive Grapheme-to-Phoneme Conversion Rules by Noémie Auclair-Ouellet, Marion Fossard, Marie-Catherine St-Pierre, Joël Macoir

“…FG also underwent an extensive neuropsychological assessment battery in which he showed impaired performance in tests exploring verbal working memory and executive functions. FG showed no phonological impairment, and his performance was also largely unimpaired for reading words, with no effect of concreteness, grammatical class, morphological complexity, length or nature and complexity of the GPC rules. …”
Get full text

Substrate Temperature-Dependent Structural, Optical, and Electrical Properties of Thermochromic VO2(M) Nanostructured Films Grown by a One-Step Pulsed Laser Deposition Process on S... by Ali Hendaoui

“…The present contribution provides a one-step process to control the morphology of VO2(M) films grown on smooth quartz substrates for applications as switches, memory devices, and smart windows.…”
Get full text

Functional Role of Adult Hippocampal Neurogenesis as a Therapeutic Strategy for Mental Disorders by Heechul Jun, Syed Mohammed Qasim Hussaini, Michael J. Rigby, Mi-Hyeon Jang

“…Adult neurogenesis, the process of generating new neurons from neural stem cells, plays significant roles in synaptic plasticity, memory, and mood regulation. In the mammalian brain, it continues to occur well into adulthood in discrete regions, namely, the hippocampus and olfactory bulb. …”
Get full text

Impact of dietary protein hydrolysates on cognitive performance: A systematic review of randomized controlled trials involving adults by Micah S. Adams, Ronald P. Mensink, Peter J. Joris

“…Three out of six studies from various protein sources observed enhancements in visuospatial memory. A link between CBF and cognitive performance was not observed. …”
Get full text

TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble by Carlos Couder-Castañeda, Carlos Ortiz-Alemán, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

“…Unlike a trivial decomposition of the domain, we proposed to decompose the problem by sets of prisms and use different memory spaces per processing CUDA core, avoiding the performance decay as a result of the constant calls to kernels functions which would be needed in a parallelization by observations points. …”
Get full text

Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…The optimal window size of the data is determined using Long Short-Term Memory Networks—Autoencoder (LSTM-AE) and the correlation parameter set is extracted using the Pearson correlation. …”
Get full text

A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN by Afuan Lasmedi, Isnanto R. Rizal

“…This study aims to compare the performance of six classification algorithms: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) in detecting fall incidents using wearable sensor data such as accelerometers and gyroscopes. …”
Get full text

The pharmacodynamic modulation effect of oxytocin on resting state functional connectivity network topology by Abraham Tonny Hagan, Lei Xu, Benjamin Klugah-Brown, Jialin Li, Xi Jiang, Keith M. Kendrick

“…Network-based statistical analysis and graph theoretical approaches were employed to evaluate oxytocin’s effects on whole-brain functional connectivity and graph topological measures.ResultsOur results revealed that oxytocin altered connectivity patterns within brain networks involved in sensory and motor processing, attention, memory, emotion and reward functions as well as social cognition, including the default mode, limbic, frontoparietal, cerebellar, and visual networks. …”
Get full text

A Multimodal Information Fusion Model for Robot Action Recognition with Time Series by Xiaozhi Zhang, Hongyan Li, Mengjie Qian

“…Multifeatures can characterize data information comprehensively, and in this study, the spatial flow and motion flow features of the dataset are extracted separately, and each feature is input into a bidirectional long and short-term memory network (BiLSTM). A confidence fusion method was used to obtain the final action recognition results. …”
Get full text

A Novel Architecture for Addressing the Throughput Bottleneck in Spaceborne Solid-State Recorder for Electromagnetic Spectrum Sensors by Xufeng Li, Li Zhou, Yan Zhu

“…Data are distributed and stored in different memory regions controlled by separate FPGAs. Interleaved storage, multi-plane, and cache operation FLASH control module are also employed to resolve these bottlenecks. …”
Get full text

Pretraining Enhanced RNN Transducer by Junyu Lu, Rongzhong Lian, Di Jiang, Yuanfeng Song, Zhiyang Su, Victor Junqiu Wei, Lin Yang

“…In this paper, we introduce the pretrained acoustic extractor (PAE) and the pretrained linguistic network (PLN) to enhance the Conformer long short-term memory (Conformer-LSTM) transducer. First, we construct the input of the acoustic encoder with two different latent representations: one extracted by PAE from the raw waveform, and the other obtained from filter-bank transformation. …”
Get full text

High-Resolution Estimation of Daily PM_2.5 Levels in the Contiguous US Using Bi-LSTM with Attention by Zhongying Wang, James L. Crooks, Elizabeth Anne Regan, Morteza Karimzadeh

“…Specifically, we improve the estimation precision by developing a Long Short-Term Memory (LSTM) network with Attention and integrating multiple data sources, including in situ measurements, remotely sensed data, and wildfire smoke density observations, which improve the model’s ability to capture high-concentration events. …”
Get full text

Investigation of Cortical Signal Propagation and the Resulting Spatiotemporal Patterns in Memristor-Based Neuronal Network by Ke Ding, Zahra Rostami, Sajad Jafari, Boshra Hatef

“…Synaptic plasticity is one of the important foundations of learning and memory as the high-order functional properties of the brain. …”
Get full text

Differentially Private Clustered Federated Load Prediction Based on the Louvain Algorithm by Tingzhe Pan, Jue Hou, Xin Jin, Chao Li, Xinlei Cai, Xiaodong Zhou

“…Finally, a personalized and adaptive differentially private federated learning Long Short-Term Memory (LSTM) model for load forecasting is developed. …”
Get full text

On the Handing over of the Exhibits of the 1900 Paris Exposition. Correspondence among the Lithuanian Alliance of America, Morta Zauniūtė, and Jonas Basanavičius (1905–1909) by Mikas Vaicekauskas

“…After lengthy journeys around the world and in Europe, these remaining exhibits reached Vilnius and were integrated in memory institutions; they became accessible to the general public, and have remained such up until now. …”
Get full text