Climate change-induced shifts in landslide susceptibility in São Sebastião (southeastern Brazil) by Enner Alcântara, Cheila Flávia Baião, Yasmim Carvalho Guimarães, José Antonio Marengo, José Roberto Mantovani

“…Frequency Ratio (FR) analysis revealed varying levels of landslide susceptibility across scenarios, with RCP2.6 showing lower probabilities for moderate landslides (FR: 0.007946) compared to higher ratings for RCP4.5, RCP6.0, and RCP8.5 (FR: 1.663156 for high landslides). …”
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Sleep Restriction and Weekend Sleep Compensation Relate to Eating Behavior in School-Aged Children by Chamorro R, Garrido-González M, Gutierrez M, Santos JL, Weisstaub G

“…Actigraphic recordings measured sleep patterns for 4 consecutive days, including a weekend day. …”
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The relationship between social isolation and cognitive function in older patients with chronic obstructive pulmonary disease: a latent profile analysis by Minghua Han, Hongxia Wu, Huize Xu, Jian Zhao, Zhongwen Chang, Qian Zhao

“…The general information questionnaire, Social Network Scale Brief, Hamilton Depression Scale, Social Support Rating Scale, and Montreal Cognitive Assessment Scale were employed. …”
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Pedagogical university students’ ethical attitudes and competences regarding artificial intelligence: An empirical study by Alicja Baum, Maria Trzcińska-Król

“…Students expressed more positive attitudes towards the benefits of AI (M = 3.22) than levels of understanding of its disadvantages (M = 2.72). Respondents rated their competences (M = 2.65) and knowledge (M = 2.85) regarding AI as below average. …”
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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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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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Age and Tumor Stage Interplay in Intrahepatic Cholangiocarcinoma: Prognostic Factors, Mortality Trends, and Therapeutic Implications from a SEER-Based Analysis by Ayrton Bangolo, Vignesh K. Nagesh, Hadrian Hoang-Vu Tran, Brooke Sens, Daniel Elias, Behzad Amoozgar, Chase Tomasino, Izage Kianifar Aguilar, Charlene Mansour, Elizabeth Gagen, Lili Zhang, Sarvarinder Gill, Nisrene Jebara, Emma Madigan, Christin Candela, Dohaa Amin, Peter Giunta, Shubhangi Singh, Aman Siddiqui, Auda Auda, Paul Peej, Timophyll Y. H. Fong, Simcha Weissman, Printhia Matshi Lihau, John Bukasa-Kakamba

“…Furthermore, it examines the clinical features, survival rates, and prognostic indicators of ICC cases diagnosed between 2010 and 2017. …”
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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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Development of a Quadruplex RT-qPCR Assay for Rapid Detection and Differentiation of PRRSV-2 and Its Predominant Genetic Sublineages in China by Guishan Ye, Siyu Xiong, Zhipeng Su, Guosheng Chen, Siyuan Liu, Zixuan Wang, Huanchun Chen, Anding Zhang

“…Field application using 938 samples from Guangxi A and B farms revealed NADC30-like PRRSV wild-type strains at positivity rates of 13.44% and 3.53%, respectively. Positive samples selected for sequencing were further confirmed using ORF5-based phylogenetic analysis and NSP2 deletion pattern comparison, which aligned with RT-qPCR detection results. …”
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Time Course of Changes in the Level of Procalcitonin in the Development of Nosocomial Pneumonia in Victims with Severe Concomitant Injury in an Intensive Care Unit by A. K. Shabanov, M. Sh. Khubutia, G. V. Bulava, N. V., Beloborodova, A. N. Kuzovlev, O. A. Grebenchikov, D. A. Kosolapov, M. I. Shpitonkov

“…The posttraumatic period in victims with severe concomitant injury is frequently complicated by nosocomial pneumonia, resulting in high mortality rates and longer time and increased cost of treatment in intensive care unit unit patients. …”
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Endoparasites of European hedgehogs (Erinaceus europaeus) in Germany and their zoonotic potential: proposed Capillaria ovoreticulata genetically identified as Capillaria putorii by Karolin Schütte, Andrea Springer, Florian Brandes, Maximilian Reuschel, Michael Fehr, Angela Kern, Christina Strube

“…Conclusions The hedgehogs showed high infection rates with pulmonary and gastrointestinal helminths. …”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…Additionally, according to the evolution characteristics of SGLs at different elevations, SGLs above 800 m exhibit a similar evolution pattern. A temporal discrepancy in maximum values for both mean area and mean depth implies differential rates of SGL development in the horizontal and vertical dimensions. …”
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Evaluation of urea loaded nano clay biopolymer composites and nitrification inhibitors on nitrogen use efficiency under maize-wheat cropping system by Premlata Meena, K. M. Manjaiah, Kapil Atmaram Chobhe, Vinod Kumar Sharma, Hanuman Singh Jatav, Mamta, Ajit Kumar Meena

“…The recommended amount of N was 150 kg ha−1and applied at the rates of 0, 50, 75, and 100% by using urea and NCBPC (loaded with urea and nitrification inhibitors) in the three equal split doses at 45, 60, and 90 DAS (days after sowing). …”
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Does Seasonality Affect Peptic Ulcer Perforation? A Single-Center Retrospective Study by Iva Krajnović, Zenon Pogorelić, Iva Perić, Marija Ćavar, Matija Borić

“…Previous studies have suggested a seasonal pattern in the occurrence of symptomatic perforated peptic ulcers. …”
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Neural signatures underlying the effect of social structure on empathy and altruistic behaviors by Xia Tian, Zixin Zheng, Renhui Li, Yue-Jia Luo, Chunliang Feng

“…Afterwards, participants rated the pain experienced by these innocents and shared money with other innocents. …”
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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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