Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

“…We tackled two key obstacles—the limited fusion of heterogeneous sensor data and inadequate modeling of long-range temporal patterns—by integrating wearable accelerometer and heart-rate streams with a convolutional neural network–LSTM (CNN-LSTM) architecture and optional attention modules. …”
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Premium intraocular lens adoption: Insights from a national health insurance analysis by Chi-Ying Huang, Christy Pu, Chiun-Ho Hou

“…Specifically, the adoption rate for premium IOLs was 35.2% in 2016, rising to 42.6% in 2020. …”
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TaER Expression Is Associated with Transpiration Efficiency Traits and Yield in Bread Wheat. by Jiacheng Zheng, Zhiyuan Yang, Pippa J Madgwick, Elizabete Carmo-Silva, Martin A J Parry, Yin-Gang Hu

“…Significant differences were also observed between the three groups varying for TaER expression for several transpiration efficiency (TE)- related traits, including stomatal density (SD), transpiration rate, photosynthetic rate (A), instant water use efficiency (WUEi) and carbon isotope discrimination (CID), and yield traits of biomass production plant-1 (BYPP) and grain yield plant-1 (GYPP). …”
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A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

“…The introduction of Software-Defined Networking (SDN) separated the control and data forwarding planes, but the data plane still requires a fully programmable packet scheduler that can adapt to different traffic patterns and offer high expressiveness at line rate. …”
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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…In addition to the high infection rate, the high spread rate is due to the increased mobility of contemporary populations. …”
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Response of Water-Use Efficiency (WUE) in Alpine Grasslands to Hydrothermal and Radiative Factors Across Elevation Gradients by Ye Tian, Wan Zhang, Xiao Xu, Bingrong Zhou, Xiaoyun Cao, Bin Qiao

“…Moreover, contribution rate analysis showed an elevation-dependent shift in WUE control: evapotranspiration (ET) exerted a dominant influence at low elevations (contribution rate: −82.50%), while net primary productivity (NPP) became the primary driver at high elevations (contribution rate: 54.71%). …”
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Interface evolution of microdroplets in flow-focusing channels with varying aspect ratios by Luyao He, Bo Wang, Qingquan Liu, Xiaodong Chen

“…Microchannels with aspect ratios of 1, 1/2 and 1/3 are designed, where droplets are generated at the first flow-focusing junction, and three distinct flow patterns – no breakup, single breakup and multiple breakups – are observed at the second flow-focusing junction. …”
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COVID-19 global risk evaluation: rankings, reducing surveillance bias, and infodemic by Michał P. Michalak, Elżbieta Węglińska, Agnieszka Kulawik, Jack Cordes, Michał Lupa, Andrzej Leśniak

“…Conversely, the case fatality rate exhibited only a weak positive correlation with probabilistic metrics, though these correlations were not consistently statistically significant. …”
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Glycolysis/gluconeogenesis specialization in microbes is driven by biochemical constraints of flux sensing by Severin Josef Schink, Dimitris Christodoulou, Avik Mukherjee, Edward Athaide, Viktoria Brunner, Tobias Fuhrer, Gary Andrew Bradshaw, Uwe Sauer, Markus Basan

“…Moreover, decreasing both lag times simultaneously comes at the cost of reduced growth rate or higher futile cycling between metabolic enzymes. …”
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Assessment of the hilsa breeding ground in Meghna River estuary, Bangladesh for sustainable conservation by Md Anisur Rahman, Md Mehedi Hasan Pramanik, Md Monjurul Hasan, Flura, Rumana Yasmin, Yahia Mahmud

“…Additionally, the study monitored the spent rate and maturity stages of hilsa, demonstrating the effectiveness of conservation initiatives. …”
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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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Relationship of psychoalgological status and results of neurosurgical treatment of patients with discogenic radiculopathy by V. I. Leonov, I. O. Kritskaya, D. V. Svistov, E. V. Litvinenko, T. V. Sergeeva, V. V. Flud, M. N. Kravtsov, S. D. Mirzametov, N. P. Alexeyeva, A. Yu. Shcherbuk, Yu. A. Shcherbuk

“…In patients with unsatisfactory results of surgical treatment of discogenic radiculopathies with pain syndrome, patterns of psychological indices were found that were significantly associated with the outcome of treatment.CONCLUSION. …”
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Preparation of Porous F-WO3/TiO2 Films with Visible-Light Photocatalytic Activity by Microarc Oxidation by Chung-Wei Yeh, Kee-Rong Wu, Chung-Hsuang Hung, Hao-Cheng Chang, Chuan-Jen Hsu

“…The X-ray diffraction patterns show that visible-light (Vis) enabling mTiO2 films with a very high content of anatase TiO2 and high loading of WO3 are successfully synthesized at a low applied voltage of 300 V using electrolyte contenting NaF and Na2WO4 without subsequent heat treatment. …”
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Epigenetics in Plant Response to Climate Change by Wei Zhou, Min Wang, Lishan Wang, Yinghui Liu, Zaimin Tian, Linan Xie, Yu Wang

“…Given the unprecedented rate of contemporary climate change, epigenetic mechanisms may exert a more immediate and flexible influence than genetic modifications. …”
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A Drone-Based Approach for Radiometric Mapping of Gamma Radiation by Felipe Mamed, Alessandra Vaz, Ary Machado, Joana Batista, Jonathan Oliveira, Paulo Silveira, Paulo Iack, Paulo Barreto, William Henrique, Wallace Vallory

“…After processing the data collected by the drone, a dose profile was reconstructed, allowing for a satisfactory estimation of the location where the Cesium-137 source was positioned based on the radiation peak. Since specific patterns in the graphs, such as a sudden increase in dose rate in a particular direction, can indicate the presence of a source, we consider that this method can be employed as a useful strategy for the remote detection of radiation sources in various environments, offering a satisfactory approximation of the radiological conditions present in the analyzed environment. …”
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A study on green innovation and entrepreneurship in the dual carbon era and its implications for the energy market by Jingjing Sun, Xin Guan, Zeyu Wang, Jiali Zhang, Yepei Tan, Peng Nie

“…In the realm of complex network analysis, market participants are categorized into conservative, moderate, and innovative groups, and their market behavior patterns are examined. In the data mining and machine learning phases, this study constructed a predictive model with an accuracy rate of 85%, forecasting the impact of future green innovation and entrepreneurship on market demand and energy supply. …”
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Life Style Practices And Health Risk Behaviors Of Medical Students: A Cross Sectional Study by Shireen Jawed, Sundus Tariq, Zehra Jamil, Rabiya Ali, Rehana Rehman

“…Year I MBBS had superior acquaintance on healthy eating routines (p-value = 0.001), lifestyle patterns (p-value = 0.002), and stress handling practices (p-value < 0.001) as compared to senior class. …”
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Peltophorum pterocarpum flower mediated synthesis of silver nanoparticles and its catalytic degradation of Acid Blue 113 dye by Ramesh Vinayagam, Stuthi A. Shetty, Gokulakrishnan Murugesan, Louella Concepta Goveas, Thivaharan Varadavenkatesan, Raja Selvaraj

“…SEM and TEM analyses revealed uniformly spheroidal nanoparticles with an average size of 25.77 nm, while EDX confirmed the presence of silver. SAED patterns showed bright spots, indicating a polycrystalline nature, which was further supported by XRD, revealing a crystallite size of 15.58 nm and a lattice parameter of 0.4007 nm. …”
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