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  1. 721

    The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis by Longyao Ma, Longyao Ma, Qiuying Tao, Qiuying Tao, Jinghan Dang, Jinghan Dang, Jieping Sun, Jieping Sun, Xiaoyu Niu, Xiaoyu Niu, Mengzhe Zhang, Mengzhe Zhang, Yimeng Kang, Yimeng Kang, Weijian Wang, Weijian Wang, Jingliang Cheng, Jingliang Cheng, Yong Zhang, Yong Zhang

    Published 2025-04-01
    “…BackgroundWhile numerous previous studies have indicated that nicotine intake results in gray matter and functional brain abnormalities in tobacco use disorder (TUD), the majority of results could not be replicated or even reversed. …”
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    Article
  2. 722

    System Eliminating Emergency Discharges in Industrial Facilities Waste Waters Using Relative Signal Description by V. A. Alekseev, S. I. Yuran, V. P. Usoltsev, D. N. Shulmin

    Published 2022-07-01
    “…The relative description on the components of the lattice function of the spectrum of emergency discharges is used, constructed using the order ratio between the components of the lattice function.The emergency discharge identification can be implemented by comparing the relative description of the emergency discharge spectrum with the reference spectra for the harmful substances that can be present at the given industrial facility, and the standards of the spectra of these substances are presented in the form of a relative description using the ratio “more”–“less”.The authors provide a flow chart for the emergency discharge elimination system, describe its operation and the functions fulfilled by its elements. …”
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  3. 723

    Candidate genes associated with fatty acid compositions in north American Atlantic salmon (Salmo salar) by Barbara L. Langille, Manuel Juárez, Nuria Prieto, Solomon Boison, Panya Sae Lim, Bruce D. Swift, Amber F. Garber

    Published 2024-12-01
    “…Atlantic salmon is a major dietary source of nutritious and digestible fatty acids. Here, we set out to uncover the genomic basis of individual fatty acids and indices (saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, n-3, and n-6) in 208 North American Atlantic salmon, to understand selection potential toward increasing relative quantities of essential fatty acids and to identify candidate genes for future research. …”
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  4. 724

    Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

    Published 2025-04-01
    “…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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  5. 725

    AI Chatbots and Cognitive Control: Enhancing Executive Functions Through Chatbot Interactions: A Systematic Review by Pantelis Pergantis, Victoria Bamicha, Charalampos Skianis, Athanasios Drigas

    Published 2025-01-01
    “…The criteria aligned with the study objectives, ensuring a focus on AI chatbots and the impact of conversational agents on executive function. The initial collection totaled <i>n</i> = 115 articles; however, the eligibility requirements led to the final selection of <i>n</i> = 10 studies. …”
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  6. 726

    How mindfulness-based training improves stress-related health: a selective review of randomized clinical trials comparing psychological mechanisms of action by Lara M. C. Puhlmann, Lara M. C. Puhlmann, Lara M. C. Puhlmann, Veronika Engert, Veronika Engert, Veronika Engert

    Published 2025-08-01
    “…Addressing this shortcoming, the present selective review provides an overview of randomized controlled trials (RCTs) that directly contrast the effects of distinct components of mindfulness on stress-related health. …”
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    Article
  7. 727

    Edge enhancement of potential field data using the enhanced gradient (EG) filter by Ahmad Alvandi, Korimilli N Durga Prasad, Hazel Deniz Toktay

    Published 2024-08-01
    “…Potential field data play a critical role in interpreting various geologic structural features through edge detection filters that aid in mapping subsurface structural features. …”
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  8. 728

    Fatty Acid Profile in Field-Collected Seaweed, Lipid Extraction Optimization, and Food Functional Properties by Nabeel Gnayem, Razan Unis, Rima Gnaim, Álvaro Israel, Jallal Gnaim, Alexander Golberg

    Published 2025-04-01
    “…Additionally, lipid extraction was optimized using food-grade solvents, reaction temperatures, and the functional properties of selected green and brown seaweeds. …”
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  9. 729

    Comparison of the effectiveness of cognitive rehabilitation and drug therapy on executive functions in patients with borderline personality disorder by Fereshte Bakhshian, Kamran Yazdanbakhsh, Jahangir Karami, Seyed Hamzeh Hosseini

    Published 2023-03-01
    “…In addition, according to the significance of F obtained in the intergroup source in the total score of executive functions, memory components, selective inhibition,selective attention, decision making, planning, sustained attention, social cognition, and cognitive flexibility, it can be said that there is a significant difference between the average scores of the experimental groups and the control group. …”
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  10. 730
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  12. 732

    LI-YOLOv8: Lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv. by Pingping Yan, Xiangming Qi, Liang Jiang

    Published 2025-01-01
    “…In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
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  13. 733

    Proteolysis and volatile compounds in Mediterranean buffalo milk blue cheese: Quality determinants and functional peptides by Federica Della Cerra, Giuseppina Garro, Rosaria Cozzolino, Sabrina De Pascale, Mariapia Esposito, Gianluca Picariello, Simonetta Caira, Andrea Scaloni, Francesca Marino, Francesco Addeo

    Published 2025-06-01
    “…This study explores the proteolytic changes and volatile organic compound (VOC) profiles occurring during the ripening of Mediterranean buffalo milk blue cheese.The main objective was to characterize bioactive peptides, casein phosphopeptides, and volatile compounds and to assess their potential implications for functional food development.Peptide profiling was conducted using nanoLC-ESI-MS/MS and MALDI-TOF-MS, while VOCs were analyzed via headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME)-GC-MS.β-casein emerged as the predominant source of bioactive peptides, including sequences with predicted ACE-inhibitory, antimicrobial, and antioxidant activities. …”
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  14. 734

    A specifically designed multi-biotic reduces uremic toxin generation and improves kidney function by Alice Beau, Jane Natividad, Berengère Benoit, Philippe Delerive, Stéphane Duboux, Yuan Feng, Marie Jammes, Cecile Barnel, Giuseppina Sequino, Claudie Pinteur, Griet Glorieux, Denis Fouque, Hubert Vidal, Laetitia Koppe

    Published 2025-12-01
    “…Through in silico data mining, we selected a probiotic strain lacking the capacity to produce UT, i.e. without genes for tryptophanase, tyrosinase and urease. …”
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  15. 735
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  17. 737

    SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

    Published 2025-06-01
    “…The model incorporates the DWR-C2f module, which enhances multi-scale feature extraction and significantly improves the detection of small-sized subsidence funnels. Additionally, the innovative Inner-WIoU regression loss function improves the localization accuracy of detection boxes while also alleviates the imbalance between hard and easy samples. …”
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    SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

    Published 2025-02-01
    “…To address these issues, this study proposes the Supervised Dynamic Kernel U-Net (SDKU-Net), a novel architecture designed to enhance shadow detection in complex remote sensing scenarios. SDKU-Net integrates dynamic kernel adjustment, a combined loss function incorporating Focal and Tversky Loss, and optimizer switching to effectively tackle class imbalance and improve segmentation quality. …”
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