Temporal and Spatial Dynamics of Surface Water Temperature Changes in China's Major Lakes by Haimei Duan, Kun Yang, Xiaolu Zhou, Yi Luo

“…Particularly, when analyzing the spatial pattern based on China's famous population‐economic demarcation line (the Hu Huanyong Line), we found that the LSWT growth rate in lakes east of the Hu Huanyong Line is higher than that in lakes to the west in Phase II, as well as under the SSP1‐RCP2.6 and SSP2‐RCP4.5 scenario models. …”
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Effect of engine failure on aerodynamic characteristics of a light transport aircraft model by Yu. S. Mikhailov

“…If the half of engine thrust is lost, which adversely affects a rate of climb, the most critical flight modes are the take-off and go-around procedures performed at low altitudes using the engine asymmetric thrust. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…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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Geographical variation of overweight, obesity and related risk factors: Findings from the European Health Examination Survey in Luxembourg, 2013-2015. by Hanen Samouda, Maria Ruiz-Castell, Valery Bocquet, Andrea Kuemmerle, Anna Chioti, Frédéric Dadoun, Ngianga-Bakwin Kandala, Saverio Stranges

“…Large disparities in the prevalence of overweight and obesity were found between municipalities, with the highest rates of obesity found in 3 municipalities located in the South-West of the country. …”
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Fertility intentions among Chinese adults: a cross-sectional study using a national survey by Mingyan Hao, Chenxiao Zhang, Haofeng Fu, Jingting Zhang, Ziyi Zhang, Baotong Ma, Ruitong Xia, Yuanwei Lu, Jingwen Liu, Hanjia Xin, Yumeng Cao, Saier Yang, Runqing Li, Ji Zhao, Jin Zhang, Zheng Gao, Yaxin Zeng, Yixiao Ding, Zhuolun Ren, Yan Guan, Na Zhang, Jia Li, Yan Ma, Pei Wei, Jingjing Dong, Chen Chen, Yajing Zhou, Jianzhong Zheng, Wei Liu, Lizheng Wang

“…To tackle the challenge of decreasing fertility rates effectively, it is essential that interventions focus on younger women and highlight the advantages of living with multiple generations. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Simultaneously, this method can provide high clutter and interference suppression performance as well as a low communication bit error rate.…”
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Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function. by Wenbo Tang, Matthew Kowgier, Daan W Loth, María Soler Artigas, Bonnie R Joubert, Emily Hodge, Sina A Gharib, Albert V Smith, Ingo Ruczinski, Vilmundur Gudnason, Rasika A Mathias, Tamara B Harris, Nadia N Hansel, Lenore J Launer, Kathleen C Barnes, Joyanna G Hansen, Eva Albrecht, Melinda C Aldrich, Michael Allerhand, R Graham Barr, Guy G Brusselle, David J Couper, Ivan Curjuric, Gail Davies, Ian J Deary, Josée Dupuis, Tove Fall, Millennia Foy, Nora Franceschini, Wei Gao, Sven Gläser, Xiangjun Gu, Dana B Hancock, Joachim Heinrich, Albert Hofman, Medea Imboden, Erik Ingelsson, Alan James, Stefan Karrasch, Beate Koch, Stephen B Kritchevsky, Ashish Kumar, Lies Lahousse, Guo Li, Lars Lind, Cecilia Lindgren, Yongmei Liu, Kurt Lohman, Thomas Lumley, Wendy L McArdle, Bernd Meibohm, Andrew P Morris, Alanna C Morrison, Bill Musk, Kari E North, Lyle J Palmer, Nicole M Probst-Hensch, Bruce M Psaty, Fernando Rivadeneira, Jerome I Rotter, Holger Schulz, Lewis J Smith, Akshay Sood, John M Starr, David P Strachan, Alexander Teumer, André G Uitterlinden, Henry Völzke, Arend Voorman, Louise V Wain, Martin T Wells, Jemma B Wilk, O Dale Williams, Susan R Heckbert, Bruno H Stricker, Stephanie J London, Myriam Fornage, Martin D Tobin, George T O'Connor, Ian P Hall, Patricia A Cassano

“…As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.…”
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Language-Based Engineering Considering the Trade-off among Words in Design Reflecting User’s Emotion by Nobuhisa KATSUMATA, Sonosuke HARADA, So FUKUHARA, Masao ARAKAWA, Shogo NAKAO, Masahiko FUJIWARA

“…We analyzed the relationship between user ratings and design elements using Quantification Theory Type I and created a database of these relationships. …”
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Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

“…The applied methods of monographic and economic-statistical analysis, rating assessment provided the identification of patterns of changes in the results of airport operations. …”
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Respiratory bacterial and viral pathogen spectrum among influenza-positive and influenza-negative patients by Jing Shi, Shi Han, Yating Zhang, Xiaohua Lu, Yunxia Gan, Narenqimuge Tong, Lu Ma, Hang Zhuan, Ying Dai, Yaqi Ji, Guoming Li, Dan Chen, Lu Yang

“…Influenza-positive patients had higher rates of S. pneumoniae and H. influenzae infections, while influenza-negative patients had higher rates of Human parainfluenza viruses and Human rhinoviruses. …”
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Planting Strategy Optimization Can Increase Maize Yield by Delaying Leaf Senescence and Improving Photosynthetic Capacity by Li Zhao, Xinrong Duan, Xinping Zhang, Xin Zhang, Linzhuan Song, Pei Chen, Min Liang, Chang Zhang, Chuangyun Wang

“…The results show that with the increase in planting density, the net photosynthetic rate of maize leaves gradually decreased, and the transpiration rate gradually increased. …”
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Clinical and epidemiological characteristics of registered childhood tuberculosis cases in the North-Western Region of Russia when introducing a tuberculosis diagnosis complex usin... by I. F. Dovgalyuk, N. V. Korneva, A. A. Starshinova, Yu. E. Ovchinnikova, S. M. Ananyev

“…The findings were compared with registered morbidity rates and changes in the set of performed examinations [introduction of diaskintest (DST) and computed tomography (CT)] in 5 areas of the North-Western Region of the Russian Federation. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…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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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
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Genome-wide associations spanning 194 in-hospital drug dosage change phenotypes highlight diverse genetic backgrounds in concurrent drug therapy by Alexander Pil Henriksen, Cristina Leal Rodríguez, Hannah Currant, Ioannis Louloudis, Jorge Hernansanz Biel, Maria Herrero-Zazo, Ewan Birney, Thomas Folkmann Hansen, Gianluca Mazzoni, Amalie Dahl Haue, Henning Bundgaard, Christian Erikstrup, Khoa Manh Dinh, Liam Quinn, Mie Topholm Bruun, Henrik Hjalgrim, Erik Sørensen, Christina Mikkelsen, Michael Schwinn, Ole Birger Vestager Pedersen, Henrik Ullum, Sisse Rye Ostrowski, Karina Banasik, Søren Brunak

“…As populations get older and medicine consumption rises, the rate of concurrent drug use and polypharmacy among patients is increasing. …”
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Dramatic Decoupling Between Population and Construction Land in Rural China by Jiatong Han, Minghong Tan

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Epidemiological characterization of chronic myeloid leukaemia patients at an oncologic centre: A retrospective observational study by Ana Maria Meireles, Rita Calisto, Maria José Bento, Pedro Martinho Gouveia, Susana Bizarro, Manuel Teixeira, Cláudia Moreira, Ana Espírito Santo, Mário Mariz

“…At three months, the early molecular response rate was 77 %. At 12 months of treatment, of the 67 patients with response evaluation, 93 % achieved complete cytogenetic response and 49 % major molecular response. …”
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