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4881
Identification, Evolution and Expression Analyses of the Hox Family in Procambarus clarkii
Published 2025-08-01“…The adaptive evolution analysis showed that the Hox genes of crustaceans were mainly subjected to purification selection, and the evolutionary rates of Abd-B and Dfd genes were significantly different between P. clarkii and other crustaceans (P < 0.01). …”
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4882
Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition
Published 2025-07-01“…We used comparative Bayesian phylogenetic tools to reconstruct ancestral states and phenotypic evolutionary rates of these geochemical data based on trees inferred from morphological data. …”
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4883
Global psychiatrists' opinions about hikikomori from biopsychosocial perspectives: International case vignette survey
Published 2025-06-01“…Most respondents felt the case could be treated by an outpatient visit, while others preferred hospitalization. Psychotherapy was rated highly as an intervention; Iran, South Korea, and “others” also rated pharmacotherapy highly. …”
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4884
Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning
Published 2025-07-01“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
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4885
Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks
Published 2025-06-01“…Of all the ANNs examined, the hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks demonstrated superior forecasting performance compared to the individual models, as evaluated by standard statistical metrics, while it also exhibited a very good performance at high wind speeds, i.e., greater than 15 m/s. …”
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4886
Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature
Published 2025-01-01“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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4887
An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications
Published 2024-01-01“…Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. …”
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4888
Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations
Published 2025-01-01“…With the increasing demand for training efficiency, mixture-of-experts (MoEs) has become essential for scaling large models by selectively activating sub-networks of experts through a gating network, thereby optimizing performance. This paper presents molecular MoL-MoE, a multi-view MoEs framework designed to predict molecular properties by integrating latent spaces derived from SMILES, SELFIES, and molecular graphs. …”
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4889
Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity
Published 2025-07-01“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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4890
Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series
Published 2025-07-01“…To address this, a Time-Gated LSTM (TG-LSTM) was implemented. TG-LSTM outperformed standard LSTM for irregular data in one-step prediction but faced limitations in handling heteroscedasticity and computational cost during multi-step forecasting. …”
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4891
SERPINA3 predicts long-term neurological outcomes and mortality in patients with intracerebral hemorrhage
Published 2025-03-01“…Abstract Intracerebral hemorrhage (ICH) is a severe stroke subtype with high mortality and disability rates, and long-term outcomes among survivors remain unpredictable due to the lack of reliable biomarkers. …”
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4892
Review of Epidemiological Situation on Rickettsioses in the Russian Federation in 2022 as Compared with 2013–2021, Forecast for 2023
Published 2023-07-01“…The aim of the review was to characterize the epidemiological situation on tick-borne rickettsioses (TR) in the Russian Federation in 2022 in comparison with the pandemic years of 2020–2021 and the pre-pandemic period of 2013–2019, to give the forecast for 2023. During 2013–2022, a pattern was observed in the incidence of rickettsiosis of the tick-borne spotted fever group (with the exception of Astrakhan spotted fever – ASF), that is also characteristic of most other natural focal infections (NFIs): a sharp decrease in registered incidence rates in 2020–2021 with the subsequent increase in 2022 almost up to pre-pandemic levels or even exceedance in some regions. …”
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4893
Psychiatric comorbidities and smoking behavior in chronic obstructive pulmonary disease: A case–control study from a north Indian tertiary Center
Published 2025-08-01“…Results: Cases exhibited significantly higher rates of smoking, with regular smokers constituting 51.1% compared to 14.0% of controls (P=0.0001). …”
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4894
Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory...
Published 2023-01-01“…The phenomena of brain-computer interface-inefficiency in transfer rates and reliability can hinder development and use of brain-computer interface technology. …”
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4895
DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment With a Diffusion Model Framework
Published 2025-01-01“…Assessing the severity of gait impairment in Parkinson’s disease (PD) using the Movement Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is typically performed by clinical experts, but this process is time-consuming, subjective, and costly. …”
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4896
IRF-3, IRF-5, and IRF-7 coordinately regulate the type I IFN response in myeloid dendritic cells downstream of MAVS signaling.
Published 2013-01-01“…In pathogenesis studies with two unrelated positive-sense RNA viruses (West Nile virus (WNV) and murine norovirus), TKO mice succumbed at rates greater than DKO mice and equal to or approaching those of mice lacking the type I IFN receptor (Ifnar(-/-)). …”
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4897
Dual orexin receptor antagonists for the treatment of insomnia: systematic review and network meta-analysis
Published 2023-05-01“…Concerning TST, an apparent dose-dependent pattern was noticed, with higher doses relating to a longer TST. …”
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4898
In Silico Designed Multi-Epitope Vaccine Based on the Conserved Fragments in Viral Proteins for Broad-Spectrum Protection Against Porcine Reproductive and Respiratory Syndrome Viru...
Published 2025-06-01“…This virus includes two major genotypes, PRRSV1 and PRRSV2, both characterized by high mutation rates and genetic variability, complicating the development of a universally effective vaccine and disease control. …”
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4899
Cumulative risk of revision after primary total hip arthroplasty in registries internationally: systematic review and meta-analysis of selected hip stems and cups
Published 2025-05-01“…Purpose: The objective was to investigate the consistency in cumulative revision rates (CRRs) for a selection of total hip arthroplasty cups and stems across national/regional hip arthroplasty registries worldwide. …”
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4900
Erosion of estimated genomic breeding values with generations is due to long distance associations between markers and QTL
Published 2025-03-01“…In Method 2 all the QTL contributions to SNP effects are regressed based on SNP-QTL recombination rates and summed to predict the GEBV at the next generation. …”
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