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  1. 2981

    Parallelism of multi-scale quantum harmonic oscillator algorithm by Yan HUANG, Peng WANG, Kun CHENG, Feng LIU

    Published 2016-09-01
    “…MQHOA was a novel intelligent algorithm constructed by quantum harmonic oscillator's wave function.Sampling was the basic operation and main computational burden of MQHOA.The independence of sampling operation constructs MAHOA’s parallelism.Parallel granularity was obtained by experiments of group parameter and sampling parameter,and MQHOA-P was proposed.Experiments were done in a cluster of ten nodes on six standard test functions.By changing node number,function dimension and sampling parameter,experiments of MQHOA-P’s speed-up ratio were done.The experimental results show the good performance of MQHOA-P’s speed-up ratio and expansibility.MQHOA-P can be deployed and run on multiple nodes in a large-scale cluster.…”
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  2. 2982

    Development Status and Application Prospect of Domestic Tram by HAN Zhibin, LI Fu, HUANG Yunhua

    Published 2018-01-01
    “…The development course of the tram was briefly described, the research and development status and technical characteristics of tram of the domestic rail vehicle suppliers were summarized, the functional orientation and adaptation conditions of the tram were analyzed, suggestions were put forward on the development of trams in domestic cities, and thinks that we should construct the trams scientifically and rationally.…”
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  3. 2983

    Oligodendrocyte myelin glycoprotein impairs dendritic arbors via schizophrenia risk gene Trio by Euan Parnell, Jessica M. Christiansen, Michelle A. Spratt, Shelby Ruiz, Matthew L. Macdonald, Peter Penzes, Robert A. Sweet, Melanie J. Grubisha

    Published 2025-07-01
    “…Phosphomimetic and phosphonull Trio9 constructs were employed to assess the functional role of OMGp-mediated phosphorylation at a novel phosphosite – Ser1258. …”
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  4. 2984

    Research on the diagnosis model of osteoarthritis based on methylation-related genes using machine learning algorithms by Xu Cui, Houlin Ji, Shengyang Guo, Ju Liu, Linyuan Zhang, Yongwei Jia, Yin Cui, Xiaoxiao Zhou

    Published 2025-08-01
    “…ObjectiveTo construct a diagnostic model of osteoarthritis related to methylation genes using machine learning algorithms, and analyze its prognostic value and biological functions.MethodsThe GSE 63695 and GSE162484 datasets including human osteoarthritis (OA) and normal samples were downloaded from the GEO datasets. …”
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  5. 2985
  6. 2986

    Extraction of blurred infrared targets based on a manifold regularized multiple-kernel model by YANG Dao, FU Dong-mei

    Published 2016-06-01
    “…Specific to the problem of infrared target extraction with blurred edges,this article introduces an extraction method based on a manifold regularized multiple kernel semi-supervised classification model.Firstly,the maximum variance of inter-class(OTSU) method is used to compute the initial segmentation threshold,and the certain target and background areas and the uncertain blurred edge area are determined.Then,local space sets of pixels are constructed in each area,the multiple-kernel functions are used to map the grayscale mean and variance in local space,and the location information feature in local space is obtained by manifold regularization(MR).On the basis of features,a semi-supervised classification model is established to classify the local space sets of pixels in the blurred edge area.Finally,the optimal segmentation threshold is computed.Experiments with comparisons show that this method is efficient and less in time-consuming.…”
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  7. 2987
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  10. 2990

    The grammar of beauty through the language of advertisements on Vaseline US and Indonesia websites by Agata Filia Dei Gratia, Merry Andriani

    Published 2025-05-01
    “… This study examines how the systemic functional grammar is employed in Vaseline advertisements to construct and convey notions of beauty, as well as the underlying brand messages communicated through promotional content. …”
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  11. 2991

    Psychometric Properties of the Trail-Making Test in Dementia Population by Rahmadi Maulana Kusuma Wahyudi, Evany Victoriana, C.M. Indah Soca R. Kuntari, Paulus Anam Ong, Augustina Sulastri, Gilles van Luijtelaar

    Published 2025-04-01
    “…The internal consistency analysis was used to assess the reliability of the TMT, while the generalized structured component analysis (GSCA) was conducted to examine TMT’s validity in assessing executive function. The reliability test indicated that the TMT has high reliability (ω = 0.639), while GSCA revealed that TMT has high construct validity with three other neuropsychological tests (TMT-A=0.72 and TMT-B=0.573). …”
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  12. 2992

    Automated diagnosis of mild cognitive impairment through connectivity analysis of EEG signals and a DL scheme by Jiayi Lin, Wei Huang

    Published 2025-07-01
    “…For this purpose, an ensemble pre-trained convolutional neural network (CNN) is suggested to classify EEG signals of 66 AD patients, 61 MCI patients, and 60 healthy aging individuals. First, functional connectivity maps are constructed from one-dimensional EEGs through the synchronization likelihood method. …”
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  13. 2993

    Current status of public health awareness and roles within medical institutions in eastern China by Yuchen Wu, Chuanfeng Zhang, Quan She, Wei Zheng, Kai Lu, Furu Wang, Furu Wang

    Published 2025-01-01
    “…ObjectiveTo examine the current landscape of public health functions and the level of cognition among medical staff across various medical institutions in Jiangsu Province, ultimately aiming to provide a theoretical framework for constructing a hospital public health work model under the integrated medical and defense system.MethodsA mixed-methods approach involving questionnaires and semi-structured interviews was employed to assess the establishment and operational status of public health departments within medical institutions, staffing scenarios, comprehension of public health tasks, and the degree of emphasis placed on them.ResultsOur findings reveal that 70.6% of medical institutions possess standalone public health departments, with a median of 5 full-time public health personnel, predominantly from the nursing profession. …”
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  14. 2994

    Impacts of benchmarking choices on inferred model skill of the Arctic–Boreal terrestrial carbon cycle by Jeralyn Poe, Deborah Huntzinger, Nathan Collier, Christopher Schwalm, Jon Wells, Christina Schädel, William J Riley, Stephen Sitch

    Published 2025-01-01
    “…Here, we find that the magnitude and shape of the responses are strongly impacted by the choice of observational dataset and the approach used to construct the functional relationship benchmark. These results suggest that model evaluation studies could conclude a false sense of model skill if only using a single benchmark data product or if not applying regional data products when performing a regional model analysis. …”
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  15. 2995

    Anatomical heterogeneity in low-grade and high-grade gliomas: A multiscale perspective by Shengpeng Liang, Nuo Dong, Yumin Chen, Yang Yang, Haibing Xu

    Published 2025-07-01
    “…First, we generated glioma frequency maps based on tumor grade, neurotransmitters, and IDH-1 status and constructed a brain functional connectivity network to explore heterogeneity in glioma location. …”
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  16. 2996

    Resepsi Fungsional Al-Qur’an dalam Tradisi Keagamaan Lokal: Studi atas Tradisi Roah Kemalik pada Masyarakat Rembiga, Nusa Tenggara Barat by Muhammad Helmi Anshori, Abdul Muhaimin, Aulul Azmi, Ahmad Fathoni

    Published 2025-06-01
    “…This study employs a qualitative approach with a descriptive analytical method to elucidate the meanings and social functions of this tradition. The research questions addressed in this study are as follows: First, how is the Qur’an understood by the Rembiga community within the Roah Kemalik tradition? …”
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  17. 2997
  18. 2998

    Survey of research on application of heuristic algorithm in machine learning by Yanping SHEN, Kangfeng ZHENG, Chunhua WU, Yixian YANG

    Published 2019-12-01
    “…Aiming at the problems existing in the application of machine learning algorithm,an optimization system of the machine learning model based on the heuristic algorithm was constructed.Firstly,the existing types of heuristic algorithms and the modeling process of heuristic algorithms were introduced.Then,the advantages of the heuristic algorithm were illustrated from its applications in machine learning,including the parameter and structure optimization of neural network and other machine learning algorithms,feature optimization,ensemble pruning,prototype optimization,weighted voting ensemble and kernel function learning.Finally,the heuristic algorithms and their development directions in the field of machine learning were given according to the actual needs.…”
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