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  1. 1221

    Insights from lncRNAs Profiling of MIN6 Beta Cells Undergoing Inflammation by Chuntao Sun, Lihua Xue, Ziyang Zhu, Fan Zhang, Ruixue Yang, Xuewen Yuan, Zhanjun Jia, Qianqi Liu

    Published 2016-01-01
    “…This study may be utilized as a background or reference resource for future functional studies on lncRNAs related to the diagnosis and development of new therapies for T1DM.…”
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    Article
  2. 1222

    Reward shaping based reinforcement learning for intelligent missile penetration attack strategy planning by LUO Junren, LIU Guo, SU Jiongming, ZHANG Wanpeng, CHEN Jing

    Published 2024-06-01
    “…The comparison experiment shows that the success rate of the intelligent missile penetration attack controlled by the model learned by the reward molding method is 79%, which verifies the effectiveness of the reward-based reinforcement learning method. …”
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    Article
  3. 1223

    Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

    Published 2025-05-01
    “…To enhance performance, we implemented an ensemble learning strategy that incorporated a reparameterized Gompertz function, which assigned fuzzy ranks based on each model’s prediction confidence for each test case. …”
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  4. 1224
  5. 1225

    Current trends in neurocritical care: a comprehensive review by Vinothini Murugaiyan, Kingston Samraj Kirubakaran Jebaraj, Srinivas Kalaiselvan

    Published 2025-06-01
    “…Continuous neuromonitoring using tools like electroencephalogram and intracranial pressure monitoring offers real-time data on brain function, aiding in the early detection of complications. …”
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    Article
  6. 1226

    Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

    Published 2025-05-01
    “…This made it possible to find and measure the sources of uncertainty as well as the factors that affected the chromatographic responses. …”
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    Article
  7. 1227

    Time frequency analysis of elastic wave PSO OMP for defects in flat steel of down conductors by Jing Zhang, Wei Liu, Minghui Bao, Peng Yang, Xuhua Liu, Zhihong Fu

    Published 2025-05-01
    “…Then calculate the correlation function of the reconstructed signal echo and apply a smooth pseudo Wigner Ville distribution for time-frequency analysis. …”
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  8. 1228

    From the WHO framework to integrated senior health and wellness hub program: an implementation journey by Xiaoting Huang, Xiaoting Huang, Hao Yi Tan, Hao Yi Tan, Hao Yi Tan, Pei Ling Er, Amber Wong, Si Qi Lim, Joshua Kuan Tan, Wan Qi Yee, Xiaohui Xin, Lian Leng Low

    Published 2025-07-01
    “…IntroductionAs global populations age, ensuring older adults maintain functional ability and wellbeing is a critical public health priority. …”
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    Article
  9. 1229

    Secrecy Outage Analysis of Mixed RF-FSO Systems With Channel Imperfection by Hongjiang Lei, Haolun Luo, Ki-Hong Park, Zhi Ren, Gaofeng Pan, Mohamed-Slim Alouini

    Published 2018-01-01
    “…First, the cumulative distribution function and probability density function of FSO links with pointing error and two different detection technologies are derived. …”
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    Article
  10. 1230

    Identification of key genes associated with mesocotyl length through a genome-wide association study in rice by Li Xue, Li Xue, Sen Wang, Sen Wang, Qiuyu Zhang, Qiuyu Zhang, Bing Han, Di Cui, Longzhi Han, Jianxin Deng, Xiaoding Ma

    Published 2025-05-01
    “…In this study, 300 rice germplasm resources with a wide range of sources were selected as experimental materials. …”
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    Article
  11. 1231
  12. 1232

    How to trace the origins of short-lived atmospheric species: an Arctic example by A. Da Silva, L. Marelle, J.-C. Raut, Y. Gramlich, K. Siegel, K. Siegel, S. L. Haslett, S. L. Haslett, C. Mohr, C. Mohr, J. L. Thomas

    Published 2025-05-01
    “…Knowing the exact modeled tracer emission sources in WRF-Chem enables a precise quantification of the source detection accuracy. …”
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    Article
  13. 1233

    Research Status and Development Trend of Deep-sea Work Class ROV in China by SHEN Ke, YAN Yun, YAN Hongwen

    Published 2020-01-01
    “…Deep-sea work class ROV plays an important role in marine exploration, resource development and marine environment protection. …”
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  14. 1234

    Localization of Sensor Nodes in 3D Wireless Sensor Networks with a Single Anchor by an Improved Adaptive Artificial Bee Colony (iaABC) Algorithm by Dursun Ekmekci, Hüseyin Altınkaya

    Published 2025-03-01
    “…This study proposes a solution that can detect the locations of target nodes at various levels using a single anchor node. …”
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  15. 1235

    Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

    Published 2024-12-01
    “…The trained CNN model achieved high accuracy, with both precision and recall exceeding 97%, and correctly detected 96% of distant earthquakes. The probability of tectonic tremor as a function of the signal-to-noise ratio (SNR) increased steeply from 10 to 90% at an SNR of 4. …”
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  16. 1236

    Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

    Published 2025-06-01
    “…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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  17. 1237

    Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

    Published 2025-06-01
    “…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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  18. 1238

    Development and evaluation of the remote passive integrated transponder tag reader for customizable monitoring of wildlife by Staci M. Amburgey, Aadithya Prakash, Amy A. Yackel Adams, Shane R. Siers, Sarah J. Converse

    Published 2025-03-01
    “…We evaluated differences in scanning success as a function of snake traits, location of PIT tags within snakes, and the distance of the PIT tag from the reader. …”
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  19. 1239
  20. 1240

    Joint Operation Technology of Directional Bridge Plug and Perforation for Horizontal Wells Based on Inclination Angle Detector by TANG Ke, FANG Ming

    Published 2024-02-01
    “…In the construction of directional bridge plug and perforation joint operation, when the perforating gun is pumped to the horizontal section of the well, the orientation of the perforating bullet’s firing port cannot be detected by the existing technical means. By developing a inclination angle detector and a fully integrated directional perforation device, integrating the selection control chip and three-axis acceleration sensor functions, the control circuit is designed to achieve the initiation control of cluster perforation, measure the direction of perforation projectile in real time and upload it to the ground selection control system. …”
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