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Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective coho...
Published 2022-06-01“…The developed long short-term memory (LSTM) based recurrent neural network (RNN) algorithm had a recall (sensitivity) of 0.73 in the training set and 0.68 in the testing set when detecting COVID-19 up to 2 days prior to SO.Conclusion Wearable sensor technology can enable COVID-19 detection during the presymptomatic period. …”
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202
Suspension of Mitotic Activity in Dentate Gyrus of the Hibernating Ground Squirrel
Published 2011-01-01“…Neurogenesis occurs in the adult mammalian hippocampus, a region of the brain important for learning and memory. Hibernation in Siberian ground squirrels provides a natural model to study mitosis as the rapid fall in body temperature in 24 h (from 35-36°C to +4–6°C) permits accumulation of mitotic cells at different stages of the cell cycle. …”
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203
Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses
Published 2025-01-01“…We have utilized a combinational use of NARX (Nonlinear Autoregressive model with eXogenous inputs) and Long Short-Term Memory (LSTM) models, which was successful in objectively re-confirming the anomalies in both parameters on the same day prior to the EQ. …”
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204
A mathematical model for the study of latent tuberculosis under 3HP and 1HP regimens
Published 2024-11-01“…The model is constructed using a fractional order derivative in the Caputo sense to take advantage of the memory effect. The aim is to compare the impact on tuberculosis, whether we keep the therapies that are applied to latent tuberculosis, use of once-weekly isoniazid-rifapentine for 12 weeks (3HP), or use of isoniazid and rifapentine once a day for 28 days (1HP). …”
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Interracial contact shapes racial bias in the learning of person-knowledge
Published 2025-01-01“…The results indicate a bias towards better recall of ingroup person knowledge, which decreased for high-contact perceivers across the five-day training but simultaneously increased for low-contact perceivers. …”
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206
Association of Subjective Cognitive Concerns With Performance on Mobile App–Based Cognitive Assessment in Cognitively Normal Older Adults: Observational Study
Published 2025-02-01“…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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207
An efficient and resilience linear prefix approach for mining maximal frequent itemset using clustering
Published 2025-03-01“…The numerous volumes of data generated every day necessitate the deployment of new technologies capable of dealing with massive amounts of data efficiently. …”
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208
Lessons of the Great Patriotic War and World War II for Contemporary Russia
Published 2015-08-01“…And, obviously, it is no accident the day before and during the celebration of 70th anniversary of Victory wishing her to steal the peoples of Russia have been particularly active, as they claim - stiff and awkward. …”
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209
Lightweight attention-based SAR ship detector
Published 2024-12-01“…In practical applications, computing resources and memory space are limited, and high inference speed is required. …”
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210
Toponymie littorale aux îles Marquises, Fenua ‘Enata/Henua ‘Enana, Polynésie orientale (Polynésie française)
Published 2017-07-01“…Sharing knowledge is necessary as well as collaboration between protagonists in order to stimulate and mobilize memory so as to rediscover names, locations and uses. …”
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A Comparison between the Effectiveness of computerized Cognitive Rehabilitation Training and transcranial Direct Current Stimulation on Dialysis Patients’ Executive Functions
Published 2024-06-01“…The treatment lasted for 10 sessions carried out every other day. # Results The results of MANCOVA showed no significant difference between the sham group and the cCRT group in any of the executive function items. . …”
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A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model
Published 2020-01-01“…This method uses 15 min traffic flow data of the first 16 sections as input and completes the data preprocessing operation through reconstruction, normalization, and rising dimension by working day factor; establishing the prediction model based on the long- and short-term memory network (LSTM) and inverse normalization; and proposing the GA-SVR model to optimize the prediction results, so as to realize the real-time high-precision prediction of traffic flow. …”
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Fractal-Based Robotic Trading Strategies Using Detrended Fluctuation Analysis and Fractional Derivatives: A Case Study in the Energy Market
Published 2024-12-01“…This paper presents an integrated robotic trading strategy developed for the day-ahead energy market that includes different methods for time series analysis and forecasting, such as Detrended Fluctuation Analysis (DFA), Rescaled Range Analysis (R/S analysis), fractional derivatives, Long Short-Term Memory (LSTM) Networks, and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. …”
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Myricetin exposure reduces PC differentiation in vitro in primary human B cells
Published 2025-01-01“…B cell subsets such as IgG memory B cells, marginal zone B cells (MZ B cells), and naive B cells were isolated by flow cytometry and activated to induce PC differentiation. …”
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219
Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting
Published 2025-01-01“…This article presents a load forecasting model for commercial buildings with Enhanced Dynamically Weighted Multiple Kernel Support Vector Regression (EDW-MKSVR) and a mini-batch gradient descent method to achieve good regularization along with clustering techniques to segment different times of the day. The first step in preparing the dataset is to perform preprocessing, which involves conducting correlation analysis, scaling, and normalization followed by initial hyperparameter tuning using the multiswarm Levy flight particle swarm optimization technique. …”
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A Stock Closing Price Prediction Model Based on CNN-BiSLSTM
Published 2021-01-01“…Bidirectional special long short-term memory (BiSLSTM) improved on bidirectional long short-term memory (BiLSTM) adds 1 − tanh(x) function in the output gate which makes the model better predict the stock price. …”
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