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  1. 3841

    Incidence, mortality, and risk factors of bladder, kidney, prostate and testicular cancers in China and comparisons with the United States, the United Kingdom, Japan, and the Repub... by Gaohaer Kadeerhan, Zhongji Jiang, Hong Guo, Xinzhi Ma, Jin Zhang, Wenmin Guo, Jiedong Jia, Yibo Gao, Dongwen Wang

    Published 2025-08-01
    “…Conclusions The distinct age-specific patterns, elevated rates within specific age groups, and marked upward temporal trends of genitourinary cancers in China underscore the critical need for targeted, age-stratified public health interventions.…”
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  2. 3842

    Parasite spatial distribution shapes parasite aggregation on host populations, but not at high parasite density by Chris Wojan, Allison K. Shaw, Meggan E. Craft

    Published 2025-06-01
    “…Our work suggests that fine‐scale spatial patterns of parasites can play a strong role in shaping how hosts are parasitized, particularly when parasite density is low‐to‐moderate and recovery rates are slow.…”
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  3. 3843
  4. 3844

    Real-time epidemiological surveillance data: tracking the occurrences of avian influenza outbreaks around the world by Francesco Branda, Ranjan K. Mohapatra, Lawrence Sena Tuglo, Massimo Ciccozzi, Fabio Scarpa

    Published 2025-03-01
    “…Data description The dataset includes comprehensive and up-to-date information on epidemiological patterns, including geographic spread, incidence rates, and demographic factors. …”
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    Article
  5. 3845

    Supraglacial Ice Cliffs Can Substantially Increase the Mass Loss of Debris‐Covered Glaciers by Pascal Buri, Evan S. Miles, Jakob F. Steiner, Silvan Ragettli, Francesca Pellicciotti

    Published 2021-03-01
    “…Abstract The thinning patterns of debris‐covered glaciers in High Mountain Asia are not well understood. …”
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  6. 3846

    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

    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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  7. 3847

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

    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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  8. 3848

    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

    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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    Article
  9. 3849

    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

    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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    Article
  10. 3850

    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

    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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    Article
  11. 3851

    Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

    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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  12. 3852

    Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

    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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  13. 3853
  14. 3854
  15. 3855

    Penicillin remains an effective agent against Group A Streptococcus in low- and middle-income countries: A systematic review and meta-analysis of antibiotic resistance and associat... by K Rampersadh, T Salie, K Engel, C Moodley, M Engel

    Published 2025-08-01
    “…Differences were observed in resistance patterns across emm types, with emm1, emm12 and emm60 showing higher resistance rates to tetracycline and erythromycin. …”
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  16. 3856

    Construction and Brain Validation of circRNAs-miRNAs-mRNAs Regulatory Axis in Early-Onset Schizophrenia by Zhang X, Li Z, Li R, Wang X, Liu H, Du X, Gao Y, Liu S, Xu Y

    Published 2025-07-01
    “…This study aimed to investigate the regulatory patterns and brain validation of circular RNAs-microRNAs-messenger RNAs in early-onset schizophrenia.Methods: Differentially expressed circular RNAs and microRNAs were identified in blood samples from 32 patients with early-onset schizophrenia and 29 healthy controls. …”
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  17. 3857

    Antibiotic resistance profiles and risk factors of multidrug-resistant Escherichia coli in a large tertiary care hospital in a low- and middle-income country by Nour Mousa, Banan M. Aiesh, Ruba Jomaa, Yousef Zouneh, Ashraqat Namrouti, Adham Abutaha, Samah W. Al-Jabi, Ali Sabateen, Sa’ed H. Zyoud

    Published 2025-07-01
    “…The E. coli group presented the highest prevalence of urine cultures (47.9%), with substantial variations in resistance patterns among the species. The rates of resistance to cephalosporins and ciprofloxacin increased (67.7%). …”
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  18. 3858

    Anomalous Transport in Dissolving Porous Media: Transitions Between Fickian and Non‐Fickian Regimes by Jingxuan Deng, Rishabh P. Sharma, Piotr Szymczak, Peter K. Kang

    Published 2025-08-01
    “…Depending on the interplay between advection, diffusion, and reaction rates, mineral dissolution produces distinct dissolution patterns, such as wormholing and uniform dissolution. …”
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  19. 3859

    Factors Affecting Aggressive Behavior Among Teenage Students: A Statistical Study by Kauser Shaheen, Majid Kaleem, Muhammad Abbas, Asim Iftikhar, Muhammad Ramzan

    Published 2025-06-01
    “…Aggressive behavior in the classroom was linked to low academic engagement ratings, good attitudes toward learning, friends in the classroom, and the perception of teacher support. …”
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  20. 3860

    Surface Salinity Variability in the Gulf of Mexico During Flood and Drought Years by Pamela J. Lee, Richard J. Brokaw, Ebenezer S. Nyadjro, Bulusu Subrahmanyam

    Published 2025-04-01
    “…We combine satellite‐derived sea surface salinity (SSS), ocean currents, and river discharge rates to examine patterns of salinity distribution throughout the entire GoM basin. …”
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