Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, FENG Qi-shuai

“…Traditional BP neural network is a typical mehtod to solve ECT system of flow pattern identification. It is applied to the simple problems in industrial applications，but there are many defects in solving complex industrial problems. …”
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Exploration of fever characteristics in parturients under continuous temperature monitoring during labor analgesia and analysis of the impact on maternal and neonatal outcomes: an... by Xia Li, Xia Li, Junli Ma

“…Additionally, the fever group had a higher rate of meconium-stained amniotic fluid (grade III), used more analgesics, and had a higher rate of antibiotic use. …”
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Methodological development study: Dynamic mask attention graph neural network for mechanical ventilation in elderly intensive care unit patients by Yi Xie, Ni Xie, Jiao Guo

“…These interaction patterns matched much clinical knowledge, significantly improving doctors’ trust in the model prediction. …”
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Intermittent ne-waza exercise leads to greater effort in uke compared to tori in prepubescent judo athletes by Bayram Ceylan, Furkan Öztürk, Hasan Basri Taskin, Ugur Sarikaya, Sükrü Serdar Balci

“…Athletes also reported significantly higher RPE scores in the uke role than in the tori role, indicating greater perceptual demands in prepubescent judo athletes, despite similar heart rate patterns between roles. …”
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Generating Large Time–Bandwidth Product RF-Chirped Waveforms Using Vernier Dual-Optical Frequency Combs by Mohammed S. Alshaykh

“…In this work, we propose a photonics-based large-TBWP RF chirp generator utilizing dual optical frequency combs with a small difference in the repetition rate. By employing dispersion modules for frequency-to-time mapping, we convert the spectral interferometric patterns into a temporal RF sinusoidal carrier signal whose frequency is swept through the optical shot-to-shot delay. …”
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Accounting for temporal and spatial autocorrelation to examine the effects of climate change on vegetation greenness trend in China by Lingwei Chen, Likai Zhu, Cuiyutong Yang, Zizhen Dong, Rui Huang, Jijun Meng, Min Liu

“…The common practice to detect and explain greenness pattern from remote sensing time series is mostly based on pixel-by-pixel analysis, which often fails to account for spatial autocorrelation and may lead to spurious patterns. …”
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Three Dimensional Image Reconstruction of Electrical Capacitance Tomography Based on Improved ALEXNET Convolutional Neural Network by LI Yan, WANG Lu, LI Jiaqi

“…A method is proposed that the corresponding AlexNet neural network is trained according to the data of different flow patterns for the problem of slow sample training and low imaging accuracy for the threedimensional image reconstruction algorithm of convolutional neural networks. …”
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Korean Translation of the GRADE Series Published in the BMJ, ‘Use of GRADE Grid to Reach Decisions on Clinical Practice Guidelines When Consensus Is Elusive’ (A Secondary Publicati... by Hyun Jin Jung, Eu Chang Hwang, Do Kyung Kim, Ho Won Kang, Ja Yoon Ku, Hong Wook Kim, Jae Hung Jung

“…This article is the last of a series providing guidance for the use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system for rating the quality of evidence and grading the strength of recommendations in systematic reviews and clinical practice guidelines. …”
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The Impact of a Plant-Based Diet on Inflammatory Symptoms In Rheumatoid Arthritis: A Review by Justyna Moszkowicz, Tomasz Ufniarski, Aleksandra Piech, Martyna Grodzińska, Maria Kleczkowska, Karol Poplicha, Piotr Sobkiewicz, Karolina Pasierb, Patrycja Kardasz, Bartłomiej Siuzdak, Marta Jutrzenka

“…A systematic analysis of clinical trials and observational studies reveals that vegan, vegetarian, and plant-forward dietary patterns contribute to significant reductions in disease activity scores (DAS28), inflammatory markers such as C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), and subjective pain and physical function assessments with vegan, vegetarian, and plant-forward dietary patterns. …”
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Characterization and application of a novel Campylobacter phage CC_R7 as a biocontrol agent in chicken meat by Muhammad Shahzad Rafiq, Jie Chen, Muhammad Akmal, Dongxin Ma, Ali Asif, Junhao Wang, Shuaifeng Gu, Yufeng Gu, Pan Tao, Haihong Hao

“…This study examined the antimicrobial resistance patterns in Campylobacter jejuni (C. jejuni) and Campylobacter coli (C. coli). …”
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Parameter optimization and mechanism analysis of pepper spring-tooth drum picking device based on DEM by Jiaxuan Yang, Jin Lei, Xinyan Qin, Shiguo Wang, Yang Liu, Chengfu Wang

“…The optimization results showed that the loss rate (η1) and picking rate (η2) achieved optimal values of 5.66 % and 85.90 %, respectively, at a rotation speed of 170 r/min, a forward speed of 0.61 m/s and a spring-tooth angle of 17° Bench tests revealed a loss rate of 6.07 % and a picking rate of 90.23 %, with relative errors of 7.24 % and 5.04 % respectively compared to the simulation outcomes. …”
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The Response to Hydrological Regime Change of Nitrogen Transformation Processes at the Sediment‐Water Interface of Seasonal Floodplain Lakes: Insights From the Yangtze River‐Poyang... by Zhongtian Zhang, Guangqiu Jin, Hongwu Tang, Haiyu Yuan, Hexiang Chen, Qi Zhang

“…Furthermore, the nitrification rate at the sediment‐water interface escalates by 28.5%, and the denitrification rate increases by 21.3% owing to pronounced alterations in the hydrological regime. …”
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Optimization of Bus Rerouting to Alleviate the Impact of Rail Transit Construction by Yiran Wang, Jingxu Chen, Xinlian Yu, Qinhe An, Xu Wu

“…For each rerouting line, we design two adjustment patterns and associated candidate alternative rerouting sets. …”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…These results confirm DS-TCTM's effectiveness in capturing driving style impacts on trajectory patterns, providing reliable prediction enhancements for vehicle safety systems. …”
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Dynamic Machine Learning-Based Simulation for Preemptive Supply-Demand Balancing Amid EV Charging Growth in the Jamali Grid 2025–2060 by Joshua Veli Tampubolon, Rinaldy Dalimi, Budi Sudiarto

“…To forestall instability, we developed a predictive simulation based on long short-term memory (LSTM) networks that combines historical generation and consumption patterns with models of EV population growth and initial charging-time (ICT). …”
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Smart Drug Delivery Systems Based on Single-Wall Carbon Nanotubes Loaded with Nanocurcumin Extract for Cancer Therapy and Toxicity by Marwa R. Jwameer, Sabah A. Salman, Farah T. M. Noori

“…The PEG-PEI-SWCNTs showed distinct crystalline structures and flaws, as well as a larger interlayer spacing, as evidenced by XRD patterns. After loading N. Cur, TEM analysis confirmed the presence of curcumin extract. …”
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Physical activity simultaneously improves working memory and ripple-spindle coupling by Xinyun Che, Benedikt Auer, Paul Schmid, Christoph Reichert, Annemarie Scholz, Tom Weischner, Robert T. Knight, Stefan Dürschmid

“…Neurophysiologically, PA scaled the ripple rate with the number of items to be kept in WM and strengthened the coupling between ripple events and wake spindle events. …”
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Research on disaster information dissemination based on social sensor networks by Shanshan Wan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, Ying Liu

“…Previous studies mainly focused on the impact of human mobility patterns on social sensor networks. In this article, based on the inherent autonomy property of human individuals, we propose a social sensor information dissemination model, which mainly focuses on the impact of the individual characteristics, social characteristics, and group information dissemination mode on social sensor networks. …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Using a mixed-methods approach, we analyzed implementation patterns and learning outcomes across humanities, STEM, and social sciences programs at multiple institutions. …”
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Somatic pathology in residents of Khanty-Mansi Autonomous Okrug – Yugra by L. N. Verizhnikova, O. L. Aryamkina, N. N. Terentyeva

“…The study identified patterns in different flows of the Russian population in and from the North, the incidence rate (defined by the leading group of diseases) and its dynamics, characteristic of the territories equated to the Far North. …”
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