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3221
Criminal legal penalties, substance use, and overdose: a concept mapping study examining Colorado’s criminal legal penalties
Published 2025-01-01“…Participants — recruited from community-based organizations — identified, rated, sorted, and categorized factors affecting criminal legal involvement, substance use, and/or overdose in their community. …”
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3222
Functioning in patients with major depression treated with duloxetine or a selective serotonin reuptake inhibitor in East Asia
Published 2016-02-01“…Depression severity was assessed using the 16-item Quick Inventory of Depressive Symptomatology-Self Report. PPS were rated using the modified Somatic Symptom Inventory. …”
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3223
Postoperative liver dysfunction in gastric cancer patients following early enhanced nutritional protocols: a retrospective observational study
Published 2025-08-01“…The incidence rates of Grade 1 or higher elevations were 51.8% for AST and 39.4% for ALT on POD 1, and 47.9% for AST and 42.0% for ALT on POD 7. …”
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3224
MtDNA copy number enrichment is associated with poor prognosis and eosinophilic morphology in clear cell renal cell carcinoma
Published 2025-07-01“…CSS was significantly reduced in the “HIGH” than in the “LOW” group with respective 5-year survival rates: 78.7% (CI 95: 64.8–95.5) and 95.5% (CI 95 87.1–100.0) (Hazard Ratio: 7.4 (CI 95: 1.9–29.9, p = 0.027*) in multivariate analysis, including pathological classification, tumor size, International Society of Urological Pathology grade, lymphovascular invasion, dedifferentiated pattern, necrosis and adjuvant therapy. …”
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3225
An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms
Published 2025-07-01“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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3226
Dietary inflammatory index and mortality in middle-aged and elderly patients with metabolic syndrome
Published 2025-07-01“…KM survival curves showed that higher DII quartiles were associated with lower survival rates (Log-rank P < 0.05). Cox regression results indicated that each unit increase in DII was associated with a higher risk of all-cause mortality (HR = 1.052, 95% CI: 1.006-1.100, P = 0.026) and cardiovascular mortality (HR = 1.157, 95% CI: 1.076–1.244, P < 0.001). …”
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3227
Epstein Barr virus antibody and cancer risk in two prospective cohorts in Southern China
Published 2025-07-01“…The associations showed an increased dose-response pattern, and keep persistent even up to ten years prior to diagnosis. …”
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3228
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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3229
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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3230
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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3231
Identify suitable artificial groundwater recharge zones using hybrid deep learning models
Published 2025-09-01“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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3232
Dramatic resurgence of malaria after 7 years of intensive vector control interventions in Eastern Uganda.
Published 2024-01-01“…In Busia, An. gambiae s.s. remained the primary vector throughout the observation period. Sporozoite rates were approximately 50% higher among An. funestus compared to the other common malaria vectors. …”
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3233
Treatment of total hip arthroplasty between two surgical access routes associated chronic pain, function and biomechanical parameters in older after osteoporotic femur fracture: co...
Published 2025-08-01“…Conclusion Total hip arthroplasty via the posterolateral approach proved to be more successful when associated with reducing chronic pain, improving functional parameters and hip joint mobility, as well as facilitating a more efficient gait pattern with lower rates of plantar overload and enhanced body balance in older adults undergoing total hip arthroplasty after osteoporotic femur fracture. …”
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3234
Dynamic Effects of Sodium Selenite on the Rhizospheric Microenvironment, Growth, and Antioxidative Responses of Wheat (<i>Triticum aestivum</i> L.)
Published 2025-06-01“…Soil selenium (Se) speciation characteristics and their influence on the Se enrichment pattern and physiological characteristics of wheat are poorly understood. …”
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3235
Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes
Published 2025-07-01“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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3236
Modulatory role of radioprotective 105 in mitigating oxidative stress and ferroptosis via the HO-1/SLC7A11/GPX4 axis in sepsis-mediated renal injury
Published 2025-07-01“…Abstract Sepsis-associated acute kidney injury (SA-AKI) is a critical condition characterized by high morbidity and mortality rates, particularly in intensive care settings. This study focuses on RP105, a pattern recognition receptor, exploring its role in moderating the mechanisms of oxidative stress and ferroptosis during SA-AKI, offering insights into its potential as a therapeutic target. …”
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3237
Distribution and extended triage of high-risk human papillomavirus genotyping based on vaginal self-sampling
Published 2025-08-01“…Different HPV subtypes have different detection rates for CIN2+, and combining HPV16/18/33 significantly improved the sensitivity for detecting CIN2+.…”
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3238
The human RNASET2 alarmin-like molecule differentially affects prostate cancer cells behavior in both cell autonomous and non-cell autonomous manners
Published 2025-05-01“…Here, we investigated the effects of the human RNASET2 alarmin in two different human PCa cell lines focusing on cell proliferation, colony formation, adhesion, migration rates, and release of soluble immune-modulatory factors. …”
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3239
Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments
Published 2025-01-01“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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3240
Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection
Published 2025-07-01“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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