Criminal legal penalties, substance use, and overdose: a concept mapping study examining Colorado’s criminal legal penalties by Katherine LeMasters, Samantha K. Nall, Cole Jurecka, Betsy Craft, Paul J. Christine, Ryan Goodman, Jessie Henderson, Robert Haywood-James, Angela Williams, Grace Wittner, Joshua A. Barocas

“…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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Functioning in patients with major depression treated with duloxetine or a selective serotonin reuptake inhibitor in East Asia by Novick D, Montgomery W, Haro JM, Moneta MV, Zhu G, Yue L, Hong J, Duenas H, Brugnoli R

“…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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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
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Advanced lung cancer inflammation index and its predictive value for all-cause and cardiovascular mortality among osteoarthritis patients: a NHANES-based study from 2001 to 2018 by Guiyou Wu, Guiyou Wu, Dongqiang Gu, Dongqiang Gu, Haigang Jia, Haigang Jia, Lei Hong, Lei Hong, Xishun Wang

“…These methodological strategies ensured comprehensive exploration of the ALI-mortality link in OA patients while minimizing bias and enhancing generalizability.ResultsThis research delved into the health records of 2,133 individuals, revealing a notable connection: those with OA and higher ALI scores exhibited significantly lower rates of both overall and CVD-related fatalities. …”
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Postoperative liver dysfunction in gastric cancer patients following early enhanced nutritional protocols: a retrospective observational study by Kazuo Kobayashi, Satoshi Ida, Masanari Tsuji, Arisa Nawa, Takeshi Aoyama, Takashi Yokokawa, Yoshikazu Tateai, Shuichi Watabe, Hisanori Shimizu, Souya Nunobe, Masakazu Yamaguchi

“…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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Investigation of the antioxidant status and the number of double-stranded DNA breaks in models of brain tumor lesion by metastases of non-small cell lung cancer in vivo by E. V. Zaikina, I. A. Alliluev, Yu. N. Lazutin, Yu. V. Przhedetskiy, Yu. S. Shatova, M. A. Engibaryan, E. F. Komarova, D. A. Kharagezov, A. V. Galina, A. A. Kiblitskaya, M. V. Mindar, L. Z. Kurbanova

“…., 2010) adapted for this experiment. Growth rates were controlled and intracranial xenografts were visualized using a high-resolution micro-CT system. …”
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Progressive subcortical involvement as spinocerebellar ataxia type 3 advances by Pubing Yuan, Yonghua Huang, Minghui Dai, Xin Jin, Dingxin Zheng, Die Xiao, Lihua Deng, Peiling Ou, Linfeng Shi, Yifan Chen, Jian Wang, Wei Chen, Yuanchao Zhang, Chen Liu

“…Moreover, the localized shape changes of subcortical structures correlated bidirectionally with clinical measurements including the length of CAG repeats within the ATXN3 gene, the scores on the scale of the assessment, the rating of ataxia, the instrumental activities of daily living scale, and the mini-mental state examination. …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…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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MtDNA copy number enrichment is associated with poor prognosis and eosinophilic morphology in clear cell renal cell carcinoma by Sarah Bellal, Sarah Bellal, Cyrielle Rolley, Jeremy Richard, Nolwenn Bounaix, Vincent Le Corre, Marie-Christine Copin, Odile Blanchet, Pierre Bigot, Pierre Bigot, Vincent Procaccio, Vincent Procaccio, Céline Bris, Céline Bris

“…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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Dietary inflammatory index and mortality in middle-aged and elderly patients with metabolic syndrome by Xiangmei Li, Lei Liu, Xing Li, Long Yang, Li Men

“…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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Epstein Barr virus antibody and cancer risk in two prospective cohorts in Southern China by Ming-Fang Ji, Yong-Qiao He, Min-Zhong Tang, Wen-Qiong Xue, Xia Yu, Hua Diao, Da-Wei Yang, Zhi-Ming Mai, Io Hong Cheong, Zhi-Yang Zhao, Biao-Hua Wu, Fu-Gui Li, Ji-Yun Zhan, Chang-Ling Huang, Hao-Lin Ma, Jun Li, Yan-Cheng Li, Tong-Min Wang, Ying Liao, Xue-Yin Chen, Zhi-Heng Liang, Shi-Feng Lian, Yun Du, Xue-Jun Liang, Zisis Kozlakidis, Jun Ma, Wei-Hua Jia

“…The associations showed an increased dose-response pattern, and keep persistent even up to ten years prior to diagnosis. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…Concurrently, variational mode decomposition (VMD) provides frequency-domain decomposition capability, while the gated recurrent unit (GRU) captures long-term dependencies. …”
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Multiscale Water Cycle Mechanisms and Return Flow Utilization in Paddy Fields of Plain Irrigation Districts by Jie Zhang, Yujiang Xiong, Peihua Jiang, Niannian Yuan, Fengli Liu

“…We propose an integrated optimization strategy combining tillering-stage irrigation/drainage control, multiscale hydraulic interception (control gates and pond weirs), and dynamic watershed storage scheduling. …”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…This study evaluates multiple ML models, including logistic regression, random forest, and LightGBM, alongside DL architectures such as ALBERT and Gated Recurrent Units (GRUs), for both binary and multi-class classification of mental health conditions. …”
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…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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Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks by Lateef Adesola Afolabi, Takvor Soukissian, Diego Vicinanza, Pasquale Contestabile

“…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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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…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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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…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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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…Our analysis of routing activation patterns reveals that MoL-MoE dynamically adjusts its use of different molecular representations based on task-specific requirements. …”
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An Iterative Pixel-Based Dimensional Voting Model for High Spatial-Resolution Image Classification by Muhamad Asyraf Mohd Pouzi, Haza Nuzly Abdull Hamed, Muhammad Razib Othman, Hishammuddin Asmuni, Mohd Adham Isa, Husni Ruslai

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