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  1. 1001

    DO FIRM CHARACTERISTICS AFFECT PRICE DISCOVERY? EVIDENCE FROM CHINESE CROSS-LISTED STOCKS by Yen-Sheng Lee, Yi-Heng Tseng

    Published 2021-11-01
    “…Our study adds to the existing literature on the price discovery process within Chinese stock markets. …”
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    Article
  2. 1002

    DO FIRM CHARACTERISTICS AFFECT PRICE DISCOVERY? EVIDENCE FROM CHINESE CROSS-LISTED STOCKS by Yen-Sheng Lee, Yi-Heng Tseng

    Published 2021-11-01
    “…Our study adds to the existing literature on the price discovery process within Chinese stock markets. …”
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    Article
  3. 1003

    Improving SVM performance through data reduction and misclassification analysis with linear programming by Carlos Aníbal Suárez, Mauricio Castro, Mariuxi Leon, Carlos Martin-Barreiro, Michael Liut

    Published 2025-06-01
    “…Abstract In the dual optimization problem behind Support Vector Machine (SVM), each data point corresponds to a decision variable. …”
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    Article
  4. 1004

    ENSEMBLE CNN WITH ADASYN FOR MULTICLASS CLASSIFICATION ON CABBAGE PESTS by Nabila Ayunda Sovia, Ni Wayan Surya Wardhani

    Published 2024-05-01
    “…Image classification is a complex process influenced by various factors, one of which is the amount of image data. …”
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  5. 1005
  6. 1006

    Production of retroviral constructs for effective transfer and expression of T-cell receptor genes using Golden Gate cloning by Lori V. Coren, Sumiti Jain, Matthew T. Trivett, Claes Ohlen, David E. Ott

    Published 2015-03-01
    “…Our one-step approach greatly streamlines the TCR vector production process in comparison to the traditional three-step procedure that typically involves cloning whole TCR genes, producing a TCR expression cassette, and constructing a retroviral construct. …”
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    Article
  7. 1007

    A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

    Published 2024-01-01
    “…The meta-heuristic optimization algorithms for the feature selection process followed by machine learning classification methods yielded a prediction accuracy between 93.57 and 95.55%. …”
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    Article
  8. 1008

    Refining the annotation of Rhodnius prolixus aspartic proteases A1 family genes through proteogenomics by Radouane Ouali, Sabrina Bousbata

    Published 2025-01-01
    “…Rhodnius prolixus Stål (Hemiptera: Reduviidae: Triatominae) a hematophagous model organism and vector of Chagas disease, relies on a complex repertoire of digestive enzymes to process its blood meals. …”
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    Article
  9. 1009

    A novel approach for three-dimensional evaluation of reduction morphology in distal radius fracture by Yuichi Yoshii, Yusuke Eda, Reo Asai, Akira Ikumi, Yasukazu Totoki, Sho Kohyama, Takeshi Ogawa

    Published 2025-02-01
    “…The 3D coordinates of three reference points; (1) radial styloid process, (2) sigmoid notch volar edge, and (3) sigmoid notch dorsal edge, were used to evaluate the reduction shape and compare it to the unaffected side mirror image. …”
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    Article
  10. 1010

    Sound Intensity Distribution Around Organ Pipe by Piotr ODYA, Józef KOTUS, Maciej SZCZODRAK, Bożena KOSTEK

    Published 2016-10-01
    “…Multi-channel acoustic vector sensor was used to measure the sound intensity distribution of radiated acoustic energy. …”
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    Article
  11. 1011

    SVM action recognition model based on skeletal key point analysis with posture sensors to help sports training by Yixuan Cao, Tie Li

    Published 2025-07-01
    “…The study employs the quaternion method to model the essential features of the human skeleton, acquires motion data through a posture sensor, and performs preliminary data processing using the Kalman filtering technique. Subsequently, it utilizes a support vector machine to complete the recognition and classification of actions. …”
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    Article
  12. 1012
  13. 1013
  14. 1014

    Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

    Published 2025-02-01
    “…The captured images were processed in a Scikit-image environment to obtain a reduced number of features or qubits for later training of quantum circuits. …”
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    Article
  15. 1015

    Machine Learning-based Disease Classification in Tomato (Solanum lycopersicum) Plants by Md Towfiqur Rahman, Sudipto Dhar Dipto, Israt Jahan June, Abdul Momin, Muhammad Rashed Al Mamun

    Published 2024-12-01
    “…Therefore, an image processing technique and machine learning algorithms were used for rapid and robust detection of diseases in tomato plant leaves, aiming to streamline the detection process for chemical application responses. …”
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    Article
  16. 1016
  17. 1017

    Automatic Reading and Reporting Weather Information from Surface Fax Charts for Ships Sailing in Actual Northern Pacific and Atlantic Oceans by Jun Jian, Yingxiang Zhang, Ke Xu, Peter J. Webster

    Published 2024-11-01
    “…This study employed many artificial intelligent (AI) methods including a vectorization approach and target recognition algorithm to automatically detect the severe weather information from Japanese and US weather charts. …”
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    Article
  18. 1018

    Analysis of somatic piRNAs in the malaria mosquito Anopheles coluzzii reveals atypical classes of genic small RNAs by Sergei Funikov, Alexander Rezvykh, Natalia Akulenko, Jiangtao Liang, Igor V. Sharakhov, Alla Kalmykova

    Published 2025-12-01
    “…Small RNAs derived from repetitive elements constitute a minor fraction while most small RNAs process from long noncoding RNAs (lncRNAs) and protein-coding gene mRNAs. …”
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  19. 1019

    Schmallenberg disease: literature review and epizootic situation in the world and in Russia by O. A. Burova, O. I. Zakharova, N. N. Toropova, E. A. Liskova, I. V. Yashin, A. A. Blokhin

    Published 2022-02-01
    “…In 2012-2013, the infection spread to the most part of Northwestern Europe. Insect vectors were the main mechanism for the spread of the disease. …”
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  20. 1020

    Impact of Thermal Variation on Egg Hatching and the Life Cycle of <i>Aedes</i> (<i>Protomacleaya</i>) <i>terrens</i> (Diptera: Culicidae) in a Laboratory Environment by Rayane Dias, Manuella Pereira Cerqueira Leite, Guilherme Sanches Corrêa-do-Nascimento, Gabriel Silva Santos, Cecilia Ferreira de Mello, Nathália Menezes de Almeida, Jeronimo Alencar

    Published 2025-06-01
    “…Evaluating the development process of mosquito species under the influence of temperature is essential for understanding their ecology and geographical distribution, as well as assessing their potential as vectors of pathogens. …”
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    Article