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  1. 781

    Retracted: Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite by Yeqiong Shi, Sainan Wang, Shuna Zhou, M. M. Kamruzzaman

    Published 2020-01-01
    “…Forest vegetation is the main body that constitutes forest resources. Accurate identification of the types of forest trees can lay the foundation for the research and utilization of forest resources. …”
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    Article
  2. 782

    Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

    Published 2025-01-01
    “…., its ability to mimic hormone functions). Studies have reported that BPA can leach into various food sources, including milk, a dietary staple for infants. …”
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  3. 783

    Assessment of the nutritional constituents of Elaeis Guineensis Jacq exudates from different States of Nigeria by FI Obahiagbon, GE Ilori, JO Erhabor

    Published 2013-07-01
    “…The concentration of potassium was high in all the samples irrespective of their sources. The exudates could be classified as a rich source of nutrients that are needed in man, as some of the nutrients act as sources of energy, body builders, components of body organs and tissues, coenzymes and play notable roles in biochemical functions and deficiency diseases. …”
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  4. 784
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  6. 786

    Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

    Published 2025-02-01
    “…According to the membership function ranking by principal component analysis, the browning resistance of the 10 loquat resources from strong to weak was: Yanhong, Ruisui, Huangjinkuai, Zhongshudaxiang, Muluo Loquat, Zhongbai, Guifei, Sanyuebai, Baixuezao, Guofenben. …”
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  7. 787

    Audio recognition method of belt conveyor roller fault based on convolutional neural network and linear regression by Xiangyuan CHEN, Wei QIN, Yanchi LIU, Minghua LUO

    Published 2025-06-01
    “…Aiming at the problems of complex sound source and insignificant characteristics in the audio recognition of roller fault of belt conveyor in coal mine, an audio recognition method of roller fault based on convolution neural network and linear regression is proposed. …”
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  8. 788

    On the usage of artificial intelligence in leprosy care: A systematic literature review. by Hilson Gomes Vilar de Andrade, Elisson da Silva Rocha, Kayo H de Carvalho Monteiro, Cleber Matos de Morais, Danielle Christine Moura Dos Santos, Dimas Cassimiro Nascimento, Raphael A Dourado, Theo Lynn, Patricia Takako Endo

    Published 2025-06-01
    “…The persistent stigma and social exclusion associated with leprosy complicate eradication efforts exacerbate the wider challenges faced by NTDs in sourcing the necessary resources and attention for control and elimination. …”
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    Article
  9. 789

    Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

    Published 2025-07-01
    “…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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  10. 790

    Complexity of immunobiology of tumor necrosis factor and novel anti-TNF therapy by S. А. Nedospasov

    Published 2023-06-01
    “…Systemic anti-cytokine therapy is known to be accompanied by undesirable side effects, which can hypothetically be explained by the neutralization of these protective functions. Thus, we developed prototypes of TNF blockers which limit the bioavailability of this cytokine only from its main “pathogenic” source – myeloid cells. …”
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  11. 791

    Probing Cosmic Isotropy with the FAST All Sky H i Survey by Yi-Wen Wu, Jun-Qing Xia

    Published 2025-01-01
    “…To mitigate the potential influence of spurious clustering effects due to these sensitivity variations, we focus on extragalactic H i sources within the sensitivity range of [0.65, 1.0]. …”
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  12. 792

    Consistent microbial insights across sequencing methods in soil studies: the role of reference taxonomies by Niranjana Rose Edwin, Aoife Duff, Coline Deveautour, Fiona Brennan, Florence Abram, Orla O'Sullivan

    Published 2025-07-01
    “…Our findings reveal that both methods offer moderately similar outcomes, providing consistent detection of major phyla, similar microbial community differentiation patterns, and largely identifying the same relationships between the phyla and nitrogen functions. …”
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  13. 793

    Biological properties of cord blood hematopoietic stem cells by S. A. Rumiantsev, E. Yu. Osipova, S. E. Ipatov, T. V. Shamanskaya, O. A. Mayorova, A. G. Rumyantsev

    Published 2014-07-01
    “…Phased developments of the technology of stem cells detection and selection, their proliferation, differentiation and function assessment using cultivation in vitro and in vivo in animal model was described. …”
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  14. 794

    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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  15. 795
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    Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications by Jiao Liu, Ye‐Ming Qing, Jun‐Jie Wu, Jing‐Qi Tian, Chi‐Bo Feng, Xin‐Yu Zhou, Yun Ma, Bing‐Xiang Li, Yan‐Qing Lu, Quan Li

    Published 2025-08-01
    “…Cellulose nanocrystals (CNCs), obtained through the acidic hydrolysis of cellulose‐based materials including wood, cotton, and additional sources, have attracted significant attention in areas, for example, energy storage, cosmetics, and medical devices. …”
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  17. 797

    Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

    Published 2023-01-01
    “…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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  18. 798

    Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. by Mario Pannunzi, Thomas Nowotny

    Published 2021-12-01
    “…To navigate a plume and, for example, find food, they must solve several challenges, including reliably identifying mixtures of odorants and their intensities, and discriminating odorant mixtures emanating from a single source from odorants emitted from separate sources and just mixing in the air. …”
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  19. 799
  20. 800

    In Situ Analysis of Jupiter's Broadband Kilometric Auroral Radio Emissions With Juno by B. Collet, L. Lamy, C. K. Louis, V. Hue, T. K. Kim

    Published 2025-05-01
    “…Taking advantage of Juno in situ measurements within the auroral regions, we surveyed the Juno/Waves radio observations over the 60 first orbits to identify 7 bKOM source candidates. These were mostly detected during dawn storm auroral episodes (4/7) and three were found to be colocated with auroral cavities. …”
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