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  1. 701
  2. 702

    Predictive Model for <i>Listeria monocytogenes</i> in RTE Meats Using Exclusive Food Matrix Data by N. A. Nanje Gowda, Manjari Singh, Gijs Lommerse, Saurabh Kumar, Eelco Heintz, Jeyamkondan Subbiah

    Published 2024-12-01
    “…The <i>Listeria</i> growth data in RTE food matrices, including RTE beef, pork, and poultry products (731 data sets), were collected from the literature and databases like ComBase. …”
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  3. 703

    A Study on the Infrageneric Classification of <i>Hordeum</i> Using Multiple Methods: Based on Morphological Data by Nayoung Ro, Pilmo Sung, Mesfin Haile, Hyemyeong Yoon, Dong-Su Yu, Ho-Cheol Ko, Gyu-Taek Cho, Hee-Jong Woo, Nam-Jin Chung

    Published 2024-12-01
    “…RF analysis enhanced classification performance, achieving 100% accuracy at the section level and high accuracy for species with sufficient data. This approach offers a new framework for classifying diverse barley species and contributes significantly to data-driven decision-making in breeding and conservation efforts, supporting a deeper understanding of barley’s adaptive evolution in response to environmental changes.…”
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  4. 704

    Structure of imported chicken market and willingness of distributors to accept domestically produced and processed chicken: evidence from Ghana by Isaac Akurugu Apike, James Osei Mensah, Robert Aidoo, Camillus Abawiera Wongnaa, Gifty Boakye Appiah

    Published 2024-12-01
    “…This study provides an understanding of the structure of the frozen chicken market and examines whether the actors of the frozen chicken supply chain are willing to accept locally produced and processed chicken as one of their product lines. It employs primary data collected from 22 importers, 44 wholesalers and 117 retailers in Ghana. …”
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  5. 705

    Late schizophrenia by V. E. Pashkovskiy

    Published 2020-12-01
    “…The organic factors that accompany the aging process make diagnosis difficult. Based on the consensus statement from an international group of experts in the field, this review discusses the features of schizophrenia in old age with a debut at a young age, late-onset schizophrenia (illness onset after 40 years of age) and very-late-onset schizophrenia-like psychosis (onset after 60 years). …”
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  6. 706

    Physics-based machine learning for predicting urban air pollution using decadal time series data by Cog Cao, Ramit Debnath, R Michael Alvarez

    Published 2025-01-01
    “…Effective air quality policies depend on accurate pollution predictions, even in countries with low pollution levels like Norway. Although LSTM networks are well-suited for time series data, they require large datasets and are computationally expensive, limiting their use for physical process data like air pollution dynamics. …”
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  7. 707

    Role of transforming growth factor-β1 in regulating adipocyte progenitors by Nguyen Quynh Phuong, Muhammad Bilal, Allah Nawaz, Le Duc Anh, Memoona, Muhammad Rahil Aslam, Sana Khalid, Tomonobu Kado, Yoshiyuki Watanabe, Ayumi Nishimura, Yoshiko Igarashi, Keisuke Okabe, Kenichi Hirabayashi, Seiji Yamamoto, Takashi Nakagawa, Hisashi Mori, Isao Usui, Shiho Fujisaka, Ryuji Hayashi, Kazuyuki Tobe

    Published 2025-01-01
    “…Our data demonstrated that lack of CD206+ M2-like macrophages derived Tgf-β1 gene improved glucose metabolism and insulin sensitivity by enhancing adipogenesis via hyperplasia. …”
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  8. 708
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    MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data by Katarzyna Arturi, Eliza J. Harris, Lilian Gasser, Beate I. Escher, Georg Braun, Robin Bosshard, Juliane Hollender

    Published 2025-01-01
    “…For each analyzed HRMS feature, MLinvitroTox generates a 490-bit bioactivity fingerprint used as a basis for prioritization, focusing the time-consuming molecular identification efforts on features most likely to cause adverse effects. The practical advantages of MLinvitroTox are demonstrated for groundwater HRMS data. …”
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  10. 710

    Playing With Data: A Board Game-Inspired Technique to Engage Local Stakeholders in Participatory Qualitative Analysis by Charlotte Albrechtsen

    Published 2025-03-01
    “…The tutorial outlines a three-step process in which local stakeholders participate in the second step, working with condensed, pre-coded data fragments in a game-like setting to address key questions. …”
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  11. 711
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    High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science by Florin Pop

    Published 2014-01-01
    “…High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. …”
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  14. 714

    Machine learning to predict killer whale (Orcinus orca) behaviors using partially labeled vocalization data by Sophia Sandholm

    Published 2025-06-01
    “…A significant challenge in this process is lack of labeled data. This paper works with recent recordings of McMurdo Sound orcas where each recording is labeled with the behaviors observed during the recording. …”
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  15. 715
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    CircPac: A web-based analysis toolset for exploring circular RNA dataGitHub by Amir Hossein Foroutan, Sadra Salehi-Mazandarani, Maryam Lotfi-Shahreza, Parvaneh Nikpour

    Published 2025-08-01
    “…However, a comprehensive analysis tool for analyzing circRNA data is still required. Here, we present CircPac, a newly developed web-based toolset that searches databases like circBase, circBank, and circRNADisease and organizes data to provide and visualize circRNAs information. …”
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    Toward characterization of perceptual specialization for faces in Multiracial contexts by Charisse B. Pickron, Ethan Kutlu, Ethan Kutlu

    Published 2024-12-01
    “…Historical and present-day challenges faced by researchers in defining what race is, identifying Multiracial individuals or contexts, and how to study perceptual and cognitive processes in this population are discussed. We propose to leverage current data from developmental Multilingual populations as a guide for future research questions and hypotheses characterizing perceptual specialization based on face race for Multiracial/Multiethnic individuals and contexts. …”
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  19. 719

    SAFER-predictor: Sparse adversarial training framework for robust traffic prediction under missing and noisy data by Yutian Liu, Chengfeng Jia, Soora Rasouli, Jian Gong, Tao Feng, Melvin Wong, Tianjin Huang

    Published 2025-12-01
    “…Accurate traffic flow forecasting is essential for developing intelligent transportation systems (ITSs) to reduce congestion, optimize road management, and improve safety. While data-driven traffic prediction approaches have shown high accuracy, they rely heavily on precise measurements, making them vulnerable to perturbed environmental factors, like sensor malfunctions, data storage issues, and adverse weather conditions. …”
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