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  1. 11481

    Privacy leakage risk assessment for reversible neural network by Yifan HE, Jie ZHANG, Weiming ZHANG, Nenghai YU

    Published 2023-08-01
    “…In recent years, deep learning has emerged as a crucial technology in various fields.However, the training process of deep learning models often requires a substantial amount of data, which may contain private and sensitive information such as personal identities and financial or medical details.Consequently, research on the privacy risk associated with artificial intelligence models has garnered significant attention in academia.However, privacy research in deep learning models has mainly focused on traditional neural networks, with limited exploration of emerging networks like reversible networks.Reversible neural networks have a distinct structure where the upper information input can be directly obtained from the lower output.Intuitively, this structure retains more information about the training data, potentially resulting in a higher risk of privacy leakage compared to traditional networks.Therefore, the privacy of reversible networks was discussed from two aspects: data privacy leakage and model function privacy leakage.The risk assessment strategy was applied to reversible networks.Two classical reversible networks were selected, namely RevNet and i-RevNet.And four attack methods were used accordingly, namely membership inference attack, model inversion attack, attribute inference attack, and model extraction attack, to analyze privacy leakage.The experimental results demonstrate that reversible networks exhibit more serious privacy risks than traditional neural networks when subjected to membership inference attacks, model inversion attacks, and attribute inference attacks.And reversible networks have similar privacy risks to traditional neural networks when subjected to model extraction attack.Considering the increasing popularity of reversible neural networks in various tasks, including those involving sensitive data, it becomes imperative to address these privacy risks.Based on the analysis of the experimental results, potential solutions were proposed which can be applied to the development of reversible networks in the future.…”
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  2. 11482

    Washed away: industrial capital, labor, and floods by Anish Sugathan, Arpit Shah, Deepak Malghan

    Published 2025-01-01
    “…These findings challenge assumptions of rapid post-disaster equilibration and have important implications for policymakers and firm managers in developing sector-specific strategies to mitigate the adverse impacts of floods in an increasingly climate-uncertain world.…”
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  3. 11483

    Imagining a net-zero Teesside: actors, networks, and expectations in industrial decarbonisation megaprojects by Kyle S Herman, Marfuga Iskandarova, Benjamin K Sovacool

    Published 2025-01-01
    “…Decarbonising industrial clusters is critical to achieving the UK’s net-zero industrial strategy. This study focuses on Teesside, an industrial cluster in Northeast England, analysing its transition through the framework of the Sociology of Expectations (SoE). …”
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  4. 11484

    Foreign Policy of Russia: ‘Soft Power’ of the Regions by S. P. Arteev

    Published 2021-04-01
    “…The author concludes that this potential could be successfully integrated into the Russian foreign policy strategy. However, in order to improve the quality of the federal-regional cooperation on the foreign policy issues, it is necessary to develop a new framework for interaction between the federal center and the regions of the Russian Federation, based on greater involvement of regional representatives in the decision-making process (which implies reassessment of the entire system of federal relations).…”
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  5. 11485

    Effects of elastic band resistance training on the physical and mental health of elderly individuals: A mixed methods systematic review. by Aiying Li, Yan Sun, Meng Li, Dongyang Wang, Xiaofeng Ma

    Published 2024-01-01
    “…The extensive search strategy included electronic database searches in the Cochrane Library, PubMed, Embase, Web of Science, Google Scholar, MEDLINE, and CINAHL. …”
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  6. 11486

    Why is Mouth Self-Examination Still Not Recommended for Early Detection of Oral Cancer and Oral Potentially Malignant Disorders? by Beatriz Monteiro da Silva, José Alexandre da Rocha Curvelo, Ruteléia dos Santos Assumpção Barroso, João Vitor Silveira de Azevedo, Andreia Cristina de Melo, Daniel Cohen-Goldemberg

    Published 2025-02-01
    “…Thus, once the methodological issues that compromise the real efficacy of self-examination have been resolved, this tool should be used and perhaps be considered essential as a strategy to detect malignant lesions, contributing to more favorable outcomes for oral cancer in public health. …”
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  7. 11487

    Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida, Abdullah Berkay Bayindir, Sertac Bayhan, Haitham Abu-Rub

    Published 2024-01-01
    “…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
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  8. 11488

    Evidence-based practice models and frameworks in the healthcare setting: a scoping review by Jarrod Dusin, Andrea Melanson, Lisa Mische-Lawson

    Published 2023-05-01
    “…Excluded were models and frameworks focused on one domain or strategy (eg, frameworks focused on applying findings).Results Of the 20 097 articles found by our search, 19 models and frameworks met our inclusion criteria. …”
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  9. 11489

    Difference between Burley Tobacco and Flue-Cured Tobacco in Nitrate Accumulation and Chemical Regulation of Nitrate and TSNA Contents by Yafei Li, Hongzhi Shi, Huijuan Yang, Jun Zhou, Jing Wang, Ruoshi Bai, Dongya Xu

    Published 2017-01-01
    “…Therefore, we suggest that treatment with Mo during the fast-growth period and a Mo-Gfo (Mo-glufosinate) combination at the maturity stage is an effective strategy for decreasing nitrate and TSNAs during cultivation.…”
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  10. 11490

    Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

    Published 2025-02-01
    “…Moreover, we evaluated the performance of these NLP-based generation models and another new model architecture based on a selective state space and selected the best approach jointing a transfer learning strategy for de novo drug discovery to target L858R/T790M/C797S-mutant EGFR in non-small cell lung cancer.…”
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  11. 11491

    HOW TO ASSESS THE COMPETENCE OF MEDICAL STUDENTS? WHAT TO ASSESS? by V.G. Marichereda, A.P. Rogachevsky, M.M. Kashtalian, T.Ya. Moskalenko, N.M. Kashtalian

    Published 2017-11-01
    “…It is also important to plan assessments so that students can monitor their learning strategy and apply the acquired knowledge and skills in practice.…”
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  12. 11492

    Effect of intraoperative fluid volume on postoperative pulmonary complications in thoracic surgeries: A systematic review and meta-analysis by Shreya Das Adhikari, Nitin Gupta, Mukund Gupta, Savan K. Nagesh, Souvik Chaudhuri, Rakesh Garg

    Published 2025-01-01
    “…Background and Aims: There is a lack of clear recommendations on fluid strategies in patients undergoing thoracic surgeries. …”
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  13. 11493

    Ecuadorian University Students’ Perception and Attitude Regarding Vaccination against COVID-19 by Lexter Mihalache, Jhonatan Miguel Siguencia Muñoz, Álvaro Paúl Moina Veloz

    Published 2024-01-01
    “…Timely information, personalized to the sociocultural level of the populations, turned out to be an effective strategy in changing opinions regarding vaccination.…”
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  14. 11494
  15. 11495

    Problematic issues of vocational guidance and professional selection of candidates for service in the agencies of the National Police of Ukraine by N. E. Miloradova

    Published 2018-11-01
    “…The author has emphasized the necessity of creating an effective strategy of vocational guidance and qualitative selection procedure, referral and enrollment of young people to higher educational institutions with specific learning conditions.…”
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  16. 11496

    Sentimentally enhanced conversation recommender system by Fengjin Liu, Qiong Cao, Xianying Huang, Huaiyu Liu

    Published 2025-01-01
    “…To refine the recommendation strategy, we design an emotional weighting mechanism to quantify and distinguish the importance of different entities in shaping user preferences. …”
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  17. 11497

    Ecologization of tourist activities as a factor of sustainable development of the regions of Ukraine by Hanna Haponenko, Denys Listratenko, Olena Yevtushenko, Irina Shamara

    Published 2023-12-01
    “…It was emphasized that the development of the development management strategy of any region of Ukraine should be based on the environmental safety policy, the current norms and requirements of which must be adapted in accordance with European standards. …”
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  18. 11498

    Growth Scale Optimization of Discrete Innovation Population Systems with Multichoice Goal Programming by Su-Lan Zhai, Ying Liu, Sheng-Yuan Wang, Xiao-Lan Wu

    Published 2021-01-01
    “…The innovative population can adjust its own development strategy and plan in time accordingly.…”
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  19. 11499

    Internalization of Religious Character Values Through Himpunan Putusan Tarjih Muhammadiyah Learning in College Student Boarding School by Abiyyul Ridho, Triono Ali Mustofa

    Published 2025-01-01
    “…The research results show that five religious character values are internalized through Himpunan Putusan Tarjih learning to mahasantri: collaboration, independence, hard work, honesty, and brotherhood. The strategy of internalizing religious character values in Himpunan Putusan Tarjih uses the lecture method, demonstration method, and problem-based learning through discussion. …”
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  20. 11500

    Peers To Professors: Exploring The Role Of Students And Faculty In Same-Level Reciprocal Peer Assisted Learning In Family Medicine Clerkship by Muneeza Aamir Sami, Lubna Ansari Baig, Saima Perwaiz Iqbal, Riffat Shafi, Sobia Parveen

    Published 2025-01-01
    “… Objective: Peer-assisted learning (PAL) is teaching by the learners to the learners, a teaching strategy globally integrated into curricula. One particular variant is same-year reciprocal PAL, in which peer tutors and tutees are from the same academic year and alternate teaching roles. …”
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